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standard"},{"name":"hl7.fhir.r2b.corexml","version":"1.4.0","fhirVersion":"1.4.0","canonical":"http://hl7.org/fhir","kind":"fhir.core","url":"https://packages2.fhir.org/web/hl7.fhir.r2b.corexml-1.4.0.tgz","date":"2016-03-30T12:00:00.000Z","description":"Definitions (API, structures and terminologies) for the R2b version of the FHIR standard"},{"name":"hl7.fhir.r2b.examples","version":"1.4.0","fhirVersion":"1.4.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r2b.examples-1.4.0.tgz","date":"2016-03-30T12:00:00.000Z","description":"Example resources in the R2b version of the FHIR standard"},{"name":"hl7.fhir.r2b.expansions","version":"1.4.0","fhirVersion":"1.4.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r2b.expansions-1.4.0.tgz","date":"2016-03-30T12:00:00.000Z","description":"Expansions for the R2b version of the FHIR 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(API, structures and terminologies) for the R3 version of the FHIR standard"},{"name":"hl7.fhir.r3.corexml","version":"3.0.2","fhirVersion":"3.0.2","canonical":"http://hl7.org/fhir","kind":"fhir.core","url":"https://packages2.fhir.org/web/hl7.fhir.r3.corexml-3.0.2.tgz","date":"2019-10-24T12:00:00.000Z","description":"Definitions (API, structures and terminologies) for the R3 version of the FHIR standard"},{"name":"hl7.fhir.r3.examples","version":"3.0.2","fhirVersion":"3.0.2","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r3.examples-3.0.2.tgz","date":"2019-10-24T12:00:00.000Z","description":"Example resources in the R3 version of the FHIR standard"},{"name":"hl7.fhir.r3.expansions","version":"3.0.2","fhirVersion":"3.0.2","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r3.expansions-3.0.2.tgz","date":"2019-10-24T12:00:00.000Z","description":"Expansions for the R3 version of the FHIR standard"},{"name":"hl7.fhir.r3.elements","version":"3.0.2","fhirVersion":"3.0.2","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r3.elements-3.0.2.tgz","date":"2019-10-24T12:00:00.000Z","description":"Element Definitions for types defined in the R3 version of the FHIR standard"},{"name":"hl7.fhir.r4.core","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir","kind":"fhir.core","url":"https://packages2.fhir.org/web/hl7.fhir.r4.core-4.0.1.tgz","date":"2019-10-30T12:00:00.000Z","description":"Definitions (API, structures and terminologies) for the R4 version of the FHIR standard"},{"name":"hl7.fhir.r4.corexml","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir","kind":"fhir.core","url":"https://packages2.fhir.org/web/hl7.fhir.r4.corexml-4.0.1.tgz","date":"2019-10-30T12:00:00.000Z","description":"Definitions (API, structures and terminologies) for the R4 version of the FHIR standard"},{"name":"hl7.fhir.r4.examples","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4.examples-4.0.1.tgz","date":"2019-10-30T12:00:00.000Z","description":"Example resources in the R4 version of the FHIR standard"},{"name":"hl7.fhir.r4.expansions","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4.expansions-4.0.1.tgz","date":"2019-10-30T12:00:00.000Z","description":"Expansions for the R4 version of the FHIR standard"},{"name":"hl7.fhir.r4.elements","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4.elements-4.0.1.tgz","date":"2019-10-30T12:00:00.000Z","description":"Element Definitions for types defined in the R4 version of the FHIR standard"},{"name":"hl7.fhir.xver.r4","version":"1.2.0","fhirVersion":"4.0","canonical":"http://fhir.org/packages/hl7.fhir.xver.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.xver.r4-1.2.0.tgz","date":"2020-03-13T10:01:11.000Z"},{"name":"hl7.fhir.uv.mhealth-framework","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/mhealth-framework","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.mhealth-framework-0.1.0.tgz","date":"2020-04-16T12:00:00.000Z","description":"aDocument the functional requirements that can be used to assess devices, applications, and FHIR profiles to ensure that the essential data needed for clinical, patient and research uses is present in communications between applications. (built Thu, Apr 16, 2020 18:23+0000+00:00)"},{"name":"hl7.fhir.xver.r3","version":"1.2.1","fhirVersion":"3.0","canonical":"http://fhir.org/packages/hl7.fhir.xver.r3","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.xver.r3-1.2.1.tgz","date":"2020-05-13T04:35:00.000Z"},{"name":"fhir.test.data.r2","version":"0.2.1","fhirVersion":"1.0.2","canonical":"http://fhir.org/test-data","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.test.data.r2-0.2.1.tgz","date":"2020-05-13T06:10:45.000Z","description":"Useful test data for working with FHIR"},{"name":"fhir.test.data.r4","version":"0.2.1","fhirVersion":"4.0.1","canonical":"http://fhir.org/test-data","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.test.data.r4-0.2.1.tgz","date":"2020-05-13T06:10:46.000Z","description":"Useful test data for working with FHIR"},{"name":"fhir.test.data.r3","version":"0.2.1","fhirVersion":"3.0.2","canonical":"http://fhir.org/test-data","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.test.data.r3-0.2.1.tgz","date":"2020-05-13T06:10:46.000Z","description":"Useful test data for working with FHIR"},{"name":"hl7.fhir.uv.order-catalog","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/order-catalog","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.order-catalog-0.1.0.tgz","date":"2020-08-05T12:00:00.000Z","description":"An Order Catalog is an administered homogeneous collection of items such as medication products, laboratory tests, procedures, medical devices or knowledge artifacts such as order sets, which support the ordering process, or more generally healthcare processes. (built Sun, Aug 9, 2020 15:18+0000+00:00)"},{"name":"hl7.fhir.us.vitalsigns","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/vitals","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vitalsigns-0.1.0.tgz","date":"2020-08-07T12:00:00.000Z"},{"name":"hl7.fhir.us.dme-orders","version":"0.2.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/dme-orders","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.dme-orders-0.2.0.tgz","date":"2020-08-10T12:00:00.000Z","description":"# General\nThis is a FHIR R4 Implementation Guide (IG) to support the electronic exchange of post-acute orders and referrals, along with the exchange of supporting documentation between the ordering provider and the specific rendering provider.\n* The initial version of the implementation guide (IG) will focus on orders and documentation for Durable Medical Equipment (DME) and Home Health Services. It is important to note that supporting DME also requires the support for medications associated with specific devices such as nebulizers and infusion pumps. It is the goal of future versions of this implementation guide to support orders for all post-acute services. \n* This specification is currently undergoing connectathon testing. It is expected to evolve, possibly significantly, as part of that process.\n\nThis implementation guide is focused on enabling ordering providers to create, communicate and track orders and referrals in the post-acute setting. By enabling ordering providers to communicate supporting documentation in real-time to rendering providers, patients can receive appropriate treatment more rapidly and reduce the burden on rendering providers to comply with payer documentation requirements.\n\n# Change log\n* **0.2.* :**QA versions for the September 2020 ballot cycle (minor version 0.2.x) include QA feedback\n* **0.3.0 :** Final version for the September 2020 ballot cycle\n \n  \n# Known issues and to-dos\n* Example of message bundle for message based ordering\n (built Mon, Aug 10, 2020 18:26+0000+00:00)"},{"name":"hl7.fhir.in","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://nrces.in/ndhm/fhir/r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.in-1.0.0.tgz","date":"2020-08-17T04:53:21.000Z"},{"name":"ch.fhir.ig.ch-ems","version":"1.9.0","fhirVersion":"4.0.1","canonical":"http://fhir.ch/ig/ch-ems","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ch.fhir.ig.ch-ems-1.9.0.tgz","date":"2020-08-25T12:00:00.000Z"},{"name":"hl7.fhir.uv.cdisc-lab","version":"1.0.0","fhirVersion":"4.5.0","canonical":"http://hl7.org/fhir/uv/cdisc-lab","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cdisc-lab-1.0.0.tgz","date":"2020-08-27T12:00:00.000Z"},{"name":"fhir.tx.support.r2","version":"0.3.0","fhirVersion":"1.0.2","canonical":"http://fhir.org/terminology-support","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.tx.support.r2-0.3.0.tgz","date":"2020-09-24T03:09:24.000Z","description":"Various supporting code systems for tx.fhir.org (R2)"},{"name":"hl7.fhir.us.davinci-pcde","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pcde","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pcde-1.0.0.tgz","date":"2020-12-23T12:00:00.000Z","description":"Guidelines for conveying coverage information from one payer to another when a patient changes insurance (built Wed, Dec 23, 2020 03:18+0000+00:00)"},{"name":"hl7.fhir.us.phcp","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/phcp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.phcp-1.0.0.tgz","date":"2021-02-11T12:00:00.000Z","description":"This document describes constraints on the the FHIR Composition resource for a Pharmacist Care Plan, which are derived from requirements set forth by the Pharmacy Health Information Technology (HIT) Collaborative1 and the National Council for Prescription Drug Programs (NCPDP) WG10 Professional Pharmacy Services,2 vendors, and Health Level Seven (HL7) stakeholder workgroups. Templates in this US Realm implementation guide are specific to pharmacy management treatment and interventions that will promote interoperability and will create information suitable for reuse in quality measurement, public health reporting, research, and reimbursement.\n\nThis guide contains a library of Fast Health Interoperability Resources (FHIR) profiles, and is compliant with the  C-CDA on FHIR specification.\n\n### Content and Organization\n\n* [Background](background.html): describes the purpose, audience, general background, and use cases for this guide\n* [Specification](specification.html): covers the detailed implementation requirements and conformance expectation\n* [Acknowledgments](acknowledgments.html): identifies the individuals and organizations involved in developing this implementation guide\n* [Downloads](downloads.html): allows download of this and other specifications as well as other useful files\n* [Artifacts Summary](artifacts.html): introduces and provides links to the FHIR STU3 and R4 profiles, search parameters and other FHIR artifacts used in this implementation guide\n (built Thu, Feb 11, 2021 17:05+0000+00:00)"},{"name":"ch.fhir.ig.template","version":"0.6.0","fhirVersion":"4.0.1","canonical":"http://fhir.ch/ig/template","kind":"fhir.template","url":"https://packages2.fhir.org/web/ch.fhir.ig.template-0.6.0.tgz","date":"2021-06-10T12:00:00.000Z","description":"FHIR HL7 Swiss IG Template"},{"name":"hl7.fhir.us.immds","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/immds","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.immds-1.0.0.tgz","date":"2021-06-25T12:00:00.000Z","description":"An IG for querying a decision support engine for a personalized immunization forecast. (built Fri, Jun 25, 2021 15:56+1000+10:00)"},{"name":"hl7.fhir.uv.eyecare","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/eyecare","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.eyecare-0.1.0.tgz","date":"2021-08-12T12:00:00.000Z","description":"The overarching goal is to define and standardize the means through which all types of eye care and general medical providers can communicate (built Thu, Aug 12, 2021 15:08+0000+00:00)"},{"name":"hl7.fhir.uv.shc-vaccination","version":"0.6.2","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/shc-vaccination","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.shc-vaccination-0.6.2.tgz","date":"2021-08-13T12:00:00.000Z","description":"Defines the clinical and patient information contained within a SMART Health Card (SHC) related to vaccination and lab results related to an infectious disease like COVID-19. (built Fri, Aug 13, 2021 13:26+0000+00:00)"},{"name":"hl7.fhir.uv.pocd","version":"0.3.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/pocd","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.pocd-0.3.0.tgz","date":"2021-08-14T12:00:00.000Z","description":"ImplementationGuide for Point-of-Care Devices (PoCD), such as those typically found in a hospital care setting (e.g., physiological monitors, infusion pumps, ventilators, pulse-oximeters, etc.). (built Sat, Aug 14, 2021 20:37+0000+00:00)"},{"name":"hl7.fhir.uv.cdisc-mapping","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/cdisc-mapping","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cdisc-mapping-1.0.0.tgz","date":"2021-08-31T12:00:00.000Z","description":"This implementation guide defines authoritative mappings between the CDISC LAB, SDTM and CDASH standards and the corresponding HL7 FHIR resources to ease interoperability and data conversion between systems implementing these standards. (built Tue, Aug 31, 2021 16:21+0000+00:00)"},{"name":"hl7.fhir.uv.saner","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/saner","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.saner-1.0.0.tgz","date":"2021-09-07T12:00:00.000Z","description":"The Situational Awareness for Novel Epidemic Response Implementation Guide enables transmission of high level situational awareness information from healthcare facilities to centralized data repositories to support the treatment of the novel coronavirus illness. (built Tue, Sep 7, 2021 19:01+0000+00:00)"},{"name":"hl7.fhir.us.nhsn-ade","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/nhsn-ade","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.nhsn-ade-1.0.0.tgz","date":"2021-10-12T12:00:00.000Z","description":"Adverse drug events (ADEs) are among the most common causes of iatrogenic harm in U.S. hospitals. An effort to establish an EHR- and vendor-neutral standard for submitting ADE data to NHSN is being sought to improve patient safety and facilitate quality improvement effort. This promising initiative seeks to enable EHRs of acute care facilities to serve as source systems for reporting ADE data to the National Healthcare Safety Network (NHSN) via industry electronic messages. This initiative leverages NHSN’s longstanding experience working closely with the Health Level Seven (HL7) standards development organization and HL7 consultants in developing and maintaining electronic healthcare-associated and antibiotic use and resistance reporting implementation guidance for EHRs and infection surveillance system vendors in the acute care arena. That experience, and the working relationships developed over a 10-year partnership, are an important foundation for a collaborative effort in which NHSN, HL7, HL7 consultants, and EHR vendors join forces to advance the field of electronic ADE reporting.\n\nThis first module, Hypoglycemia, planned for the NHSN Medication Safety Component, would enable hospitals to track and benchmark inpatient medication-related hypoglycemia (low blood sugar). Inpatient hypoglycemia can be severe and life-threatening and is associated with longer hospital stays and increased medical costs. Severe hypoglycemia (<40 mg/dL) occurs in 2%-5% of hospitalized patients with diabetes mellitus (DM). Medication-related hypoglycemic events are common causes of adverse drug events (ADEs) occurring in inpatient settings, with rates of severe hypoglycemia varying across hospitals, suggesting opportunities for improvement in the quality of care. Measurement of medication-related hypoglycemia in a meaningful and standardized way may improve glycemic management. The NHSN ADE – Hypoglycemia Module provides a mechanism for facilities to report and analyze medication-related hypoglycemia as part of patient safety and glycemic management quality improvement efforts.\n\nThe measures planned for used in this module are based on quality reporting metrics previously- or currently-endorsed by the National Quality Forum (NQF): NQF #2363 Glycemic Control - Hypoglycemia and NQF #3503 Hospital Harm – Severe Hypoglycemia. The metrics reported in this module would be primarily based on linked eMAR (antidiabetic medication administration) and laboratory (blood glucose) data. These long-standing linkages links between public health and vendors can be leveraged in ways that yield benefits for surveillance and prevention that are tightly coupled to business models and growth. (built Tue, Oct 12, 2021 13:32+0000+00:00)"},{"name":"hl7.fhir.us.nhsn-med-admin","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/nhsn-med-admin","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.nhsn-med-admin-1.0.0.tgz","date":"2021-10-12T12:00:00.000Z","description":"This IG will support electronic submission of patient/line-level medication administration data to the National Healthcare Safety Network (NHSN). The intent of this project is to establish an electronic submission standard that is vendor-neutral that leverages existing workflows and eliminates duplicate documentation. This project will work with EHR vendors to identify data elements that can be used to describe medications administered (name, formulation, route, dose, duration) to hospitalized patients (inpatients) diagnosed with COVID-19 as part of NHSN COVID-19 reporting pathways. Medication administration events would be reported irrespective of whether or not medication administration was linked to an adverse event, refer to clinician-administered events (e.g., nurse giving a patient their medication dose), and only those occurring in inpatient settings; this excludes: emergency department, observation/short stay, inpatient rehabilitation, outpatient surgical centers, and other outpatient (including physician office) settings.\n\nMedication data are integral to informing the quality, safety, and costs of U.S. healthcare, supporting federal, state, and local public health, and guiding clinical decision-making in patient care. In inpatient workflows, medication administration—as captured by electronic medication administration (eMAR) records—is considered the gold standard for accurately measuring in-hospital medication exposure, including identifying the exact medications patients have received, in what formulations, doses, and for what duration of time. The need for medication administration information has never been clearer as during the COVID-19 pandemic, where identification of the medications that acutely ill hospitalized patients with COVID-19 had received was integral to understanding clinical management of this new public health threat and directing public health resources, including scarce medications. The continued reliance on the \"medication list\" resource instead of the \"medication administration\" resource is a severe limitation in achieving accurate representation of medication exposure in U.S. healthcare data through FHIR resources.\n\n### IG\n\nThis implementation guide provides HL7 FHIR resources to define standards for exchange between a hospital and NHSN. \n\nThis publication provides the data model, defined data items, and their corresponding code and value sets, for reporting inpatient medication administration data for inpatients diagnosed with COVID-19. This guide describes constraints on the US Core and base FHIR resources for reporting, which are derived from requirements developed by the NHSN in consultation with the Health Level Seven (HL7) Pharmacy Work Group. Resources in this US Realm implementation guide are specific to reporting medication administration data to NHSN.\n\nThis guide contains a library of FHIR profiles and is compliant with FHIR Release 4. At a minimum, a Document Bundle and Composition will be exchanged along with a Patient, and associated COVID-19 Condition and laboratory results.\n\nThis guide defines 4 new Profiles:\n\n* [Composition - Inpatient Medication Administration](StructureDefinition-Composition-inpatient-med-admin.html)\n* [Condition - Lab Confirmed COVID-19](StructureDefinition-Condition-lab-confirmed-covid.html)\n* [Condition - Suspected COVID-19](StructureDefinition-Condition-suspected-covid.html)\n* [Observation - Laboratory SARS COVID-19](StructureDefinition-Observation-lab-sars-cov.html) (built Tue, Oct 12, 2021 13:08+0000+00:00)"},{"name":"hl7.fhir.us.dental-data-exchange","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/dental-data-exchange","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.dental-data-exchange-1.0.0.tgz","date":"2021-11-02T12:00:00.000Z","description":"This implementation guide provides HL7 FHIR resources to define standards for bi-directional information exchange between a medical and a dental provider or between dental providers. This publication provides the data model, defined data items and their corresponding code and value sets specific to a dental referral note and dental consultation note. This guide describes constraints on the [C-CDA on FHIR](http://www.hl7.org/fhir/us/ccda/) header and body elements for dental information, which are derived from requirements developed by the Dental Summary Exchange Project of the Health Level Seven (HL7) Payer/Provider Information Exchange Work Group (PIE WG). Resources in this US Realm implementation guide are specific to dental referral and consultation notes for exchange and interoperability among dental providers and with medical providers.\n\nThis guide contains a library of FHIR profiles and is compliant with FHIR Release 4. At a minimum, a document bundle (C-CDA on FHIR Referral Note or Consultation Note) will be exchanged along with a ServiceRequest, Patient, and associated medical and dental information. This guide specifies how and where these resources are included within the C-CDA on FHIR profiles. \n\nThis guide defines 7 new profiles:\n* Dental Bundle\n* Dental Referral Note\n* Dental Service Request\n* Dental Consult Note\n* Dental Condition\n* Dental Finding\n* Dental Communication \n\nAll proprietary documents, guides, guidance, standards, codes, and values contained herein remain the property of their respective Standards Developing Organization (SDO). HL7 does not make any claim to ownership herein.\n\nThis HL7 FHIR® R4 Implementation Guide: Dental Data Exchange is developed in parallel to the HL7 CDA® R2 Implementation Guide: Dental Data Exchange.\n (built Tue, Nov 2, 2021 16:19+0000+00:00)"},{"name":"hl7.fhir.us.pacio-cs","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-cs","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-cs-1.0.0.tgz","date":"2021-11-03T12:00:00.000Z","description":"To advance interoperable health data exchange between post-acute care (PAC) and other providers, patients, and key stakeholders (built Wed, Nov 3, 2021 21:43+0000+00:00)"},{"name":"hl7.fhir.us.pacio-fs","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-fs","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-fs-1.0.0.tgz","date":"2021-11-03T12:00:00.000Z","description":"To advance interoperable health data exchange between post-acute care (PAC) and other providers, patients, and key stakeholders (built Wed, Nov 3, 2021 21:35+0000+00:00)"},{"name":"ihe.mhd.fhir","version":"4.0.2","fhirVersion":"4.0.1","canonical":"http://profiles.ihe.net/ITI/MHD","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.mhd.fhir-4.0.2.tgz","date":"2021-11-08T12:00:00.000Z","description":"ImplementationGuide for IHE IT Infrastructure Technical Framework Supplement Mobile access to Health Documents (MHD) Rev. 4.0.1 normative (built Mon, Nov 8, 2021 19:09-0600-06:00)"},{"name":"fhir.cqf.common","version":"4.0.1","fhirVersion":"4.0.1","canonical":"http://fhir.org/guides/cqf/common","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.cqf.common-4.0.1.tgz","date":"2021-11-12T12:00:00.000Z","description":"This implementation guide contains common FHIR assets for use in CQFramework content IGs, including FHIRHelpers and the FHIR-ModelInfo libraries. (built Fri, Nov 12, 2021 16:25+1100+11:00)"},{"name":"fhir.cdc.opioid-mme-r4","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://fhir.org/guides/cdc/opioid-mme-r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.cdc.opioid-mme-r4-3.0.0.tgz","date":"2021-11-25T12:00:00.000Z","description":"Opioid Morphine Milligram Equivalent (MME) calculation logic in FHIR and Clinical Quality Language (CQL) (built Thu, Nov 25, 2021 15:13+1100+11:00)"},{"name":"hl7.fhir.us.cdmh","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/cdmh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.cdmh-1.0.0.tgz","date":"2021-12-06T12:00:00.000Z","description":"CDMH Maps data elements and classes between FHIR and Sentinel, i2b2, PCORnet CDM, OMOP research models. (built Mon, Dec 6, 2021 18:52+0000+00:00)"},{"name":"hl7.fhir.uv.radiation-dose-summary","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/radiation-dose-summary","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.radiation-dose-summary-0.1.0.tgz","date":"2021-12-08T12:00:00.000Z","description":"This IG standardizes the sharing of minimal radiation information following a performed exam. Minimal radiation information is required by multiple stakeholders including RIS, EHR, and national/regional stakeholders and their associated regulations. This IG standardizes data sharing from dose management systems to third parties. The IG exposes radiation information related to (and coming from) imaging procedures, but not medications. (built Wed, Dec 8, 2021 15:50+0000+00:00)"},{"name":"hl7.fhir.us.medmorph-research-dex","version":"0.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/medmorph-research-dex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.medmorph-research-dex-0.1.0.tgz","date":"2021-12-09T12:00:00.000Z","description":"MedMorph Research Content IG enables researchers to access data from EHRs leveraging the MedMorph Reference Architecture. (built Thu, Dec 9, 2021 14:36+0000+00:00)"},{"name":"ch.fhir.ig.ch-crl","version":"0.9.0","fhirVersion":"4.0.1","canonical":"http://fhir.ch/ig/ch-crl","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ch.fhir.ig.ch-crl-0.9.0.tgz","date":"2022-02-04T12:00:00.000Z","description":"Implementation Guide CH CRL (R4) (built Fri, Feb 4, 2022 14:13+0100+01:00)"},{"name":"ch.fhir.ig.cda-fhir-maps","version":"0.3.0","fhirVersion":"4.0.1","canonical":"http://fhir.ch/ig/cda-fhir-maps","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ch.fhir.ig.cda-fhir-maps-0.3.0.tgz","date":"2022-02-11T10:00:00.000Z"},{"name":"hl7.fhir.uv.smart-web-messaging","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/smart-web-messaging","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.smart-web-messaging-1.0.0.tgz","date":"2022-05-06T12:00:00.000Z","description":"The SMART Web Messaging Implementation Guide enables SMART-launched apps a standard way to communicate with the fixture that launched the app. (built Fri, May 6, 2022 17:41+0000+00:00)"},{"name":"ch.fhir.ig.swissnoso","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://fhir.ch/ig/swissnoso","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ch.fhir.ig.swissnoso-1.0.0.tgz","date":"2022-06-14T10:00:00.000Z","description":"Implementation guide to specify the exchange format for data transmission to Swissnoso in the context of monitoring and prevention of healthcare-associated infections. (built Tue, Jun 14, 2022 13:09+0200+02:00)"},{"name":"hl7.fhir.us.covid19library","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/covid19library","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.covid19library-1.0.0.tgz","date":"2022-07-25T12:00:00.000Z","description":"The COVID-19 IG describes structured data to be collected and communicated between providers and aggregators. (built Mon, Jul 25, 2022 13:21+0000+00:00)"},{"name":"us.cdc.phinvads","version":"0.12.0","fhirVersion":"4.0.1","canonical":"http://fhir.org/packages/us.cdc.phinvads","kind":"fhir.ig","url":"https://packages2.fhir.org/web/us.cdc.phinvads-0.12.0.tgz","date":"2022-07-27T06:40:52.000Z"},{"name":"hl7.fhir.us.directory-attestation","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/directory-attestation","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.directory-attestation-1.0.0-ballot.tgz","date":"2022-08-09T12:00:00.000Z","description":"National Directory (built Tue, Aug 9, 2022 12:51+0000+00:00)"},{"name":"hl7.fhir.us.directory-exchange","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/directory-exchange","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.directory-exchange-1.0.0-ballot.tgz","date":"2022-08-09T12:00:00.000Z","description":"National Directory (built Tue, Aug 9, 2022 16:36+0000+00:00)"},{"name":"hl7.fhir.us.directory-query","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/directory-query","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.directory-query-1.0.0-ballot.tgz","date":"2022-08-09T12:00:00.000Z","description":"National Directory Query (built Tue, Aug 9, 2022 18:48+0000+00:00)"},{"name":"fhirtools.ig.template","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fhirtools.ig.template","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhirtools.ig.template-1.0.0.tgz","date":"2022-08-25T05:08:47.000Z","description":"FHIR profiles, IG used in the digital health training series "},{"name":"dips.fhir.ig.template","version":"1.0.0-beta","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/dips.fhir.ig.template","kind":"fhir.template","url":"https://packages2.fhir.org/web/dips.fhir.ig.template-1.0.0-beta.tgz","date":"2022-08-26T04:45:23.000Z","description":"DIPS IG Template"},{"name":"vzvz.covid-vaccinations","version":"0.5.1-beta","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/vzvz.covid-vaccinations","kind":"fhir.ig","url":"https://packages2.fhir.org/web/vzvz.covid-vaccinations-0.5.1-beta.tgz","date":"2022-08-29T07:00:21.000Z","description":"Exchange of (COVID-19) immunication information"},{"name":"de.transfer-abrechnungsdaten.r4","version":"1.1.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.transfer-abrechnungsdaten.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.transfer-abrechnungsdaten.r4-1.1.2.tgz","date":"2022-08-29T20:47:18.000Z","description":"Transfer von Abrechnungsdaten - Generisches Format für Abrechnungsdaten im deutschen Gesundheitswesen"},{"name":"resource.versioning","version":"0.2.0-beta","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/resource.versioning","kind":"fhir.ig","url":"https://packages2.fhir.org/web/resource.versioning-0.2.0-beta.tgz","date":"2022-08-30T03:12:30.000Z","description":"For demonstrating purposes only"},{"name":"uk.adsv2.r4","version":"1.6.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/uk.adsv2.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/uk.adsv2.r4-1.6.1.tgz","date":"2022-09-02T08:59:28.000Z","description":"Put a description here"},{"name":"hl7-france-fhir.administrative-2022","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/hl7-france-fhir.administrative-2022","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7-france-fhir.administrative-2022-1.0.0.tgz","date":"2022-09-05T09:30:50.000Z","description":"Package HL7 France FHIR R4 (Administrative)\r\n\r\n__Release 2022__ "},{"name":"duwel.nl.r4.sandbox.dev","version":"0.0.1-dev.4","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/duwel.nl.r4.sandbox.dev","kind":"fhir.ig","url":"https://packages2.fhir.org/web/duwel.nl.r4.sandbox.dev-0.0.1-dev.4.tgz","date":"2022-09-08T11:51:03.000Z","description":"Jorn Duwel sandbox"},{"name":"hl7.fhir.be.lab","version":"1.0.0","fhirVersion":"4.0.1","canonical":"https://www.ehealth.fgov.be/standards/fhir/lab","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.be.lab-1.0.0.tgz","date":"2022-09-09T18:01:08.000Z","description":"HL7 BE Laboratory WG Implementation Guide (built Thu, Sep 8, 2022 14:30+0200+02:00)"},{"name":"fhir.ca.template","version":"0.2.0","fhirVersion":"4.0.1","canonical":"http://fhir.org/templates/fhir.ca.template","kind":"fhir.template","url":"https://packages2.fhir.org/web/fhir.ca.template-0.2.0.tgz","date":"2022-09-16T18:00:59.000Z","description":"HL7 Canada Template - for use with HL7 Canada-published FHIR IGs"},{"name":"nictiz.fhir.nl.stu3.images","version":"1.0.3","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.images","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.images-1.0.3.tgz","date":"2022-09-26T14:48:24.000Z","description":"Nictiz NL package of FHIR STU3 conformance resources for Images."},{"name":"nictiz.fhir.nl.stu3.eafspraak","version":"1.0.6","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.eafspraak","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.eafspraak-1.0.6.tgz","date":"2022-09-26T14:50:25.000Z","description":"Nictiz NL package of FHIR STU3 conformance resources for eAfspraak."},{"name":"nictiz.fhir.nl.stu3.questionnaires","version":"2.0.8","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.questionnaires","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.questionnaires-2.0.8.tgz","date":"2022-09-26T14:53:21.000Z","description":"Nictiz NL package of FHIR STU3 conformance resources for MedMij information standard Questionnaires. Includes dependency on Zib2017 and SDC.\\n\\nHCIMs: https://zibs.nl/wiki/HCIM_Release_2017(EN)"},{"name":"hl7.fhir.us.exchange-routing","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/exchange-routing","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.exchange-routing-1.0.0.tgz","date":"2022-09-26T18:00:10.000Z","description":"This FHIR implementation Guide describes the health care standard for HTTP exchange in a hybrid model of both point to point communication and intermediary. (built Mon, Sep 26, 2022 17:04+0000+00:00)"},{"name":"hl7.fhir.us.vitals","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/vitals","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vitals-1.0.0.tgz","date":"2022-09-26T18:00:14.000Z","description":"This IG describes vital signs observations that include qualifying information such as cuff size for blood pressure, or an associated situation of \"during exercise\" for blood pressure or heart rate, etc. (built Mon, Sep 12, 2022 00:44+0000+00:00)"},{"name":"hl7.fhir.us.pacio-rt","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-rt","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-rt-1.0.0.tgz","date":"2022-09-28T18:00:11.000Z","description":"PACIO Re-Assessment Timepoints Implementation Guide (built Wed, Sep 28, 2022 16:27+0000+00:00)"},{"name":"star.rhecord.beta","version":"0.0.3-beta","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/star.rhecord.beta","kind":"fhir.ig","url":"https://packages2.fhir.org/web/star.rhecord.beta-0.0.3-beta.tgz","date":"2022-09-29T14:10:39.000Z","description":"Medizinische Inofmrationsobjekte (MIO) Rhecord"},{"name":"colonoscopyreport.no","version":"0.7.23","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/colonoscopyreport.no","kind":"fhir.ig","url":"https://packages2.fhir.org/web/colonoscopyreport.no-0.7.23.tgz","date":"2022-10-11T20:35:28.000Z","description":"Sending colonoscopy data for cancer screening to a central registry in Norway"},{"name":"ishmed.i14y.r4.de","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ishmed.i14y.r4.de","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ishmed.i14y.r4.de-3.0.0.tgz","date":"2022-10-17T09:10:28.000Z","description":"i.s.h.med FHIR R4 Germany API Endpoint"},{"name":"ishmed.i14y.r4.de","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ishmed.i14y.r4.de","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ishmed.i14y.r4.de-3.0.0.tgz","date":"2022-10-17T09:10:28.000Z","description":"i.s.h.med FHIR R4 Germany API Endpoint"},{"name":"duwel.nl.stu3.sandbox.dev","version":"0.0.1-dev.5","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/duwel.nl.stu3.sandbox.dev","kind":"fhir.ig","url":"https://packages2.fhir.org/web/duwel.nl.stu3.sandbox.dev-0.0.1-dev.5.tgz","date":"2022-10-24T15:03:16.000Z","description":"Jorn Duwel sandbox"},{"name":"duwel.nl.stu3.sandbox.dev","version":"0.0.1-dev.5","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/duwel.nl.stu3.sandbox.dev","kind":"fhir.ig","url":"https://packages2.fhir.org/web/duwel.nl.stu3.sandbox.dev-0.0.1-dev.5.tgz","date":"2022-10-24T15:03:16.000Z","description":"Jorn Duwel 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2022/11/03\r\n"},{"name":"nictiz.fhir.nl.stu3.iwlz","version":"1.0.0-poc8","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.iwlz","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.iwlz-1.0.0-poc8.tgz","date":"2022-11-04T16:06:41.000Z","description":"NL package of FHIR STU3 conformance resources for iWlz."},{"name":"nictiz.fhir.nl.stu3.iwlz","version":"1.0.0-poc8","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.iwlz","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.iwlz-1.0.0-poc8.tgz","date":"2022-11-04T16:06:41.000Z","description":"NL package of FHIR STU3 conformance resources for iWlz."},{"name":"dvmd.kdl.r4.2022","version":"2022.1.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/dvmd.kdl.r4.2022","kind":"fhir.ig","url":"https://packages2.fhir.org/web/dvmd.kdl.r4.2022-2022.1.2.tgz","date":"2022-11-09T09:52:41.000Z","description":"Publikation der Terminologie-Ressourcen für die Nutzung der Klinische Dokumentenklassen-Liste (KDL) des DVMD\r\nVersion 2022"},{"name":"rki.demis.statistic","version":"1.0.0","fhirVersion":"4.0.1","canonical":"https://demis.rki.de/fhir/statistic","kind":"fhir.ig","url":"https://packages2.fhir.org/web/rki.demis.statistic-1.0.0.tgz","date":"2022-11-10T10:15:40.000Z","description":"Beinhaltet die in DEMIS für die Umsetzung verschiedener statistischer Erhebungen genutzten Informationsmodellartefakte"},{"name":"kbv.ita.aws","version":"1.2.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/kbv.ita.aws","kind":"fhir.ig","url":"https://packages2.fhir.org/web/kbv.ita.aws-1.2.0.tgz","date":"2022-11-10T13:04:59.000Z","description":"PVS-Archivierungs- und Wechsel-Schnittstelle Gemäß § 371 Absatz 1"},{"name":"de.gevko.emdaf","version":"1.3.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.gevko.emdaf","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.gevko.emdaf-1.3.0.tgz","date":"2022-11-17T14:18:35.000Z","description":"elektronisches Medikations-Datenaustauschformat"},{"name":"hl7.fhir.cl.corecl","version":"1.7.0","fhirVersion":"4.0.1","canonical":"https://hl7chile.cl/fhir/ig/CoreCL","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.cl.corecl-1.7.0.tgz","date":"2022-11-18T00:00:27.000Z","description":"Guía de Implementación Versión de Desarrollo Sobre STU 1, para los perfiles Core que se van a requerir a nivel de desarrollo Nacional para Sistemas que Intercambien datos en estandar FHIR-R4 (built Tue, Sep 6, 2022 11:46-0300-03:00)"},{"name":"hl7.fhir.us.breast-radiology","version":"0.2.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/breast-radiology","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.breast-radiology-0.2.0.tgz","date":"2022-11-22T00:00:08.000Z","description":"Breast Radiology Reporting Implementation Guide (built Tue, Apr 7, 2020 16:39+0000+00:00)"},{"name":"nat.testproject","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/nat.testproject","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nat.testproject-1.0.0.tgz","date":"2022-11-22T04:12:47.000Z","description":"nat_testproject"},{"name":"ca.learning-forge-v3.r4","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ca.learning-forge-v3.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.learning-forge-v3.r4-3.0.0.tgz","date":"2022-11-28T21:35:41.000Z","description":"creating a new 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North"},{"name":"progetto.eng","version":"0.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/progetto.eng","kind":"fhir.ig","url":"https://packages2.fhir.org/web/progetto.eng-0.0.1.tgz","date":"2022-12-19T17:08:06.000Z","description":"prova_silvia"},{"name":"nictiz.fhir.nl.r4.vaccinationimmunization","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.r4.vaccinationimmunization","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.r4.vaccinationimmunization-1.0.0.tgz","date":"2022-12-20T09:22:56.000Z","description":"NL package of FHIR R4 conformance resources for Vaccination-Immunization."},{"name":"kbv.mio.ueberleitungsbogen","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/kbv.mio.ueberleitungsbogen","kind":"fhir.ig","url":"https://packages2.fhir.org/web/kbv.mio.ueberleitungsbogen-1.0.0.tgz","date":"2022-12-21T12:26:38.000Z","description":"Pflegerisches Informationsobjekt (PIO) Überleitungsbogen V1.0.0"},{"name":"uk.nhsdigital.medicines.r4","version":"2.7.9","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/uk.nhsdigital.medicines.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/uk.nhsdigital.medicines.r4-2.7.9.tgz","date":"2023-01-10T15:13:14.000Z","description":"Electronic Prescription Service"},{"name":"apo.cdl.test","version":"0.0.1-alpha","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/apo.cdl.test","kind":"fhir.ig","url":"https://packages2.fhir.org/web/apo.cdl.test-0.0.1-alpha.tgz","date":"2023-01-12T16:27:40.000Z","description":"Test IG Kereval"},{"name":"nhsdigital.fhir.stu3","version":"1.3.0","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nhsdigital.fhir.stu3","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nhsdigital.fhir.stu3-1.3.0.tgz","date":"2023-01-27T14:04:52.000Z","description":"For testing and evaluation purposes"},{"name":"ufp.core","version":"0.6.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ufp.core","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ufp.core-0.6.0.tgz","date":"2023-01-30T12:50:00.000Z","description":"The United Federation of Planet (UFP) FHIR Implementation Guide of intergalactic scope"},{"name":"de.gematik.isip","version":"1.0.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.gematik.isip","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.gematik.isip-1.0.2.tgz","date":"2023-01-31T17:32:24.000Z","description":"Package Release des ISIP Basis Modul"},{"name":"tiga.health.clinical","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/tiga.health.clinical","kind":"fhir.ig","url":"https://packages2.fhir.org/web/tiga.health.clinical-1.1.0.tgz","date":"2023-02-02T11:51:51.000Z","description":"tiga-health-clinical"},{"name":"fhir.r4.ukcore.stu1","version":"1.0.4","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fhir.r4.ukcore.stu1","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.r4.ukcore.stu1-1.0.4.tgz","date":"2023-02-02T13:19:30.000Z","description":"UK Core FHIR profiles and assets for the IG 1.0.0."},{"name":"kbv.mio.diga","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/kbv.mio.diga","kind":"fhir.ig","url":"https://packages2.fhir.org/web/kbv.mio.diga-1.1.0.tgz","date":"2023-02-10T14:55:52.000Z","description":"Medizinische Informationsobjekte (MIO) DiGA Toolkit V1.1.0"},{"name":"de.bbmri.fhir","version":"1.2.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.bbmri.fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.bbmri.fhir-1.2.0.tgz","date":"2023-03-07T13:08:57.000Z","description":"Profiles for the BBMRI.de / GBA biobanking project."},{"name":"iteyes.myhw.core","version":"1.1.9","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/iteyes.myhw.core","kind":"fhir.ig","url":"https://packages2.fhir.org/web/iteyes.myhw.core-1.1.9.tgz","date":"2023-03-09T05:23:26.000Z","description":"마이헬스웨이 FHIR Resource Profiles"},{"name":"sfm.130323","version":"3.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/sfm.130323","kind":"fhir.ig","url":"https://packages2.fhir.org/web/sfm.130323-3.0.1.tgz","date":"2023-03-13T12:48:04.000Z","description":"Medication related projects (SFM, PLL, SAFEST, KIKJ)"},{"name":"egde.health.gateway","version":"0.1.7","fhirVersion":"4.0.1","canonical":"http://www.egde.no","kind":"fhir.ig","url":"https://packages2.fhir.org/web/egde.health.gateway-0.1.7.tgz","date":"2023-03-24T13:28:35.000Z","description":"Egde Health Gateway FHIR facade"},{"name":"fdpg.query_profiles","version":"0.0.6-alpha","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fdpg.query_profiles","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fdpg.query_profiles-0.0.6-alpha.tgz","date":"2023-03-24T16:55:06.000Z","description":"Based on the MII core data set these profiles enforce further restrictions for the FDPG"},{"name":"hl7.fhir.us.odh","version":"1.3.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/odh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.odh-1.3.0.tgz","date":"2023-03-27T12:00:00.000Z","description":"**HL7 FHIR Profile: Occupational Data for Health (ODH), Release 1.3 (Standard for Trial Use)**\n\nThis Implementation Guide is a reconciled version, containing changes in response to comments received in the Sept. 2018 ballot. It has been updated to FHIR R4.0.1.\n\n**Introduction and Guidance**\n\nThis Implementation Guide (IG) contains profiles to implement support for Occupational Data for Health (ODH). ODH describes structured work information primarily designed to facilitate clinical care, including population health and value-based care. ODH also can be used to support public health reporting. ODH is not designed to support billing activities. \nThis set of FHIR profiles is specified as a composition resource, but it is not intended to be used as a stand-alone composition. Rather, the desired content should be included in broader IGs and available as a response to requests for ODH information. Some use cases may leverage only a subset of the ODH profiles, and these should be specified within those work products. For instance, in the Vital Records Death Reporting (VRDR) IG, the data requirements for work information are limited to  those in the Usual Work profile.\nWhile this profile is specified for the US Realm, the design is intended to also support international needs. Three of the referenced value sets—Occupation, Industry, and Supervisory Level— are necessarily US specific. The remaining three value sets—Work Schedule, Employment Status, and Work Classification—use international concepts. Input is requested regarding whether these should be specified as ‘extensible’, ‘required’ (using ‘text only’ where a concept does not yet exist such as a new occupation), or as an ‘example’ for those US specific concepts.\n\n**Background**\n\nThe majority of adults in the U.S. spend more than half their waking hours at work. Therefore, health and work are inextricably inter-related. For example, the management of chronic conditions requires taking the patient’s work environment into consideration. Work-related conditions are often first brought to the attention of a primary care provider. Some conditions related to exposure to hazards in the workplace can have a long latency, requiring knowledge of a person’s work history for recognition, diagnosis, and treatment. The recognition of new conditions related to previously unknown workplace hazards has often come from astute clinicians, which requires knowledge of the patient’s work. ONC has indicated recognition of the value of work information for health care.\nThe incorporation of ODH into Electronic Health Records (EHRs) and other health IT systems presents an opportunity to improve health in relation to work. ODH provides a structure and standardization for work information that can be used across systems to take advantage of system tools for clinical decision support, population health, and public health. Research has been conducted and guidance is available to support clinicians, and the use of ODH by health IT systems can support identification of patients that would benefit the most from this knowledge.\n\n**Scope**\n\nThe Occupational Data for Health (ODH) FHIR IG covers information about a patient’s work, including some voluntary work, or a patient’s household members’ work. ODH is designed for the social history section of a medical record, to facilitate clinical care in multiple disciplines and delivery environments. ODH can be used for clinical decision support, population health activities and value-based care, and public health reporting. The scope of the work information in ODH includes:\n\n• Employment Status\n\n• Retirement Date\n\n• Combat Zone Period\n\n• Past or Present Job for the patient or a household member, which includes:\n  \n  o Past or Present Job Occupation\n  \n  o Past or Present Job Industry\n  \n  o Work Classification\n  \n  o Work Schedule, which includes:\n    \n    - Weekly Work Days\n    \n    - Daily Work Hours\n  \n  o Job Duty\n  \n  o Occupational Hazard\n  \n  o Employer name\n  \n  o Employer address\n  \n  o Related Subject (when it is Past or Present Job of a household member of the person)\n  \n  o Start/End Dates\n\n• Usual Work of the patient or a household member, which includes:\n  \n  o Usual Occupation\n  \n  o Usual Industry\n  \n  o Usual Occupation Duration\n  \n  o Related Subject (when it is Usual Work of a household member of the person)\n  \n  o Start Date\n\n**Known Issues and Limitations**\n\nThis IG includes more extensive occupational data than typically collected in current systems. The content and structure of this IG is intended to inform clinical care, support population health, and contribute to public health activities. While there may be some overlap with administrative and billing information maintained by some systems, the information in this IG is not designed to support billing and administrative needs.\nWhile multiple retirement dates are supported, the retirement date is not linked to any specific job, or usual occupation.\n\n**Credits**\n\nCo-Editor:\nLori Reed-Fourquet\ne-HealthSign, LLC\nlfourquet@ehealthsign.com\n\nCo-Editor:\nRob Hausam\nHausam Consulting\nrob@hausamconsulting.com\n\nCo-Editor:\nMark Kramer\nMITRE Corporation\nmkramer@mitre.org\n\nThis set of FHIR profiles was produced and developed through the efforts of a project of the National Institute of Occupational Safety and Health (NIOSH), the U.S. federal agency responsible for conducting research and making recommendations for the prevention of work-related injury and illness. NIOSH is a part of the U.S. Centers for Disease Control and Prevention (CDC). NIOSH consulted stakeholders in clinical care, public health, health IT, health informatics and  U.S. government agencies to develop ODH. The HL7® Public Health and Emergency Response Work Group sponsored development of this set of FHIR profiles. Co-sponsoring HL7® Work Groups were Orders and Observations (OO), Patient Administration (PA), and Clinical Quality Initiative (CQI).\nThe following individuals provided subject matter expertise for this set of FHIR profiles: Genevieve Barkocy Luensman, NIOSH; Eileen Storey, Professional Services Partners, formerly NIOSH; Margaret S. Filios, NIOSH; Christina Socias-Morales, NIOSH; Lauren Brewer, NIOSH; Barbara Wallace, Professional Services Partners.\n\n**Authors**\n\nName Email/URL\nHL7 International - Public Health http://www.hl7.org/Special/committees/pher (built Mon, Mar 27, 2023 09:54+1100+11:00)"},{"name":"nictiz.fhir.nl.r4.patientcorrections","version":"1.0.6","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.r4.patientcorrections","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.r4.patientcorrections-1.0.6.tgz","date":"2023-03-28T08:17:02.000Z","description":"NL package of FHIR R4 conformance resources for Patient Corrections."},{"name":"hl7.fhir.r4b.core","version":"4.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4b.core-4.3.0.tgz","date":"2023-03-29T10:54:41.000Z","description":"FHIR Core package - the NPM package that contains all the definitions for the base FHIR specification (built Sat, May 28, 2022 12:47+1000+10:00)"},{"name":"hl7.fhir.r4b.corexml","version":"4.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4b.corexml-4.3.0.tgz","date":"2023-03-29T10:54:52.000Z","description":"FHIR Core package - the NPM package that contains all the definitions for the base FHIR specification (XML) (built Sat, May 28, 2022 12:47+1000+10:00)"},{"name":"hl7.fhir.r4b.elements","version":"4.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4b.elements-4.3.0.tgz","date":"2023-03-29T10:54:53.000Z","description":"Element Definitions for types defined in the R4B version of the FHIR standard"},{"name":"hl7.fhir.r4b.examples","version":"4.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4b.examples-4.3.0.tgz","date":"2023-03-29T10:55:08.000Z","description":"Example resources in the R4B version of the FHIR standard"},{"name":"hl7.fhir.r4b.expansions","version":"4.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.r4b.expansions-4.3.0.tgz","date":"2023-03-29T10:55:17.000Z","description":"Expansions for the 4.3.0 version of the FHIR standard (built Sat, May 28, 2022 12:47+1000+10:00)"},{"name":"hl7.fhir.us.mihr","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/mihr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mihr-1.0.0.tgz","date":"2023-03-30T00:00:29.000Z","description":"### Scope\nThe Longitudinal Maternal & Child Health Information for Research FHIR R4 implementation guide (IG) defines a framework to enable maternal health researchers to aggregate, calculate, and analyze clinical information of research populations to explore the root causes for maternal and child morbidity and mortality. It uses Clinical Quality Language (CQL) expressions to assist researchers in capturing clinical data based on population study cohort criteria. This IG focuses on information relevant to longitudinal maternal care, which includes antepartum (including pre-pregnancy), intrapartum, and postpartum care of a pregnant woman. It includes how to link maternal longitudinal record with associated child/children records. \n\nThis US Realm IG supports the use of US Core profiles where possible, as well as base FHIR and Vital Records Common Profiles FHIR IG data model for the structural linkage of mother and child clinical records. \n\n\n### Background\nThe rates of maternal mortality have been rising in the United States since 1987. Clinical data relevant to understanding this trend are not standardized, and data exchange is not interoperable across many relevant settings. Maternal health and associated child health are inextricably linked – what happens during gestation, delivery, and after informs health outcomes of both mother and child – but relevant data is often held in separate, unconnected records. These issues impede research on maternal morbidity and longitudinal maternal care and associated impacts to infant health. Research on root causes of maternal mortality, pediatric developmental problems, and effective treatments requires exchange of information stored in disparate sources, such as electronic health record (EHR) systems, registries, and public health agencies (PHAs).\n\nThe types of information needed to research maternal health and morbidity include social determinants of health (SDOH) and associated clinical data such as antepartum, intrapartum, and postpartum care of a pregnant woman; pregnancy-related conditions and outcomes; maternal co-morbidities; child health data; and procedures. The goal of this FHIR IG is to define a model to support data exchange for predictive analysis, risk assessment, and retrospective maternal health research across the spectrum and duration of care. \n\nFuture users may include health departments using EHR data to inform public health interventions (e.g., case identification for reportable conditions, identifying persons lost to care, etc.) and maternal and child health researchers. The standards development effort will also examine options for data exchange mechanisms, including point-in-time query (data pull) and research population creation, i.e., patient enrollment in a study.\n\n### Maternal Research Use Cases\n\nThis IG will eventually support mapping maternal data across health records from specialty care and linking mother and child data harmonized across a broad set of use cases. This will support researchers in identifying root causes of maternal mortality and pediatric developmental problems, including SDOH such as limited income, poor nutrition, lack of medical coverage, etc. The goal of the project is to create a method to standardize data capture for comparative analysis over time to improve health outcomes and define a framework for studying additional research populations in the future.\n\nInitial use cases of this IG focus on hypertensive disorders of pregnancy pre, ante, and postpartum and pregnancy and subsequent death within a specific timeframe. The intent is to specify the consistent capture of clinical data of interest to maternal health researchers and outline implementing FHIR resources for that capture. Currently, the IG defines two initial, separate research use case populations: \n\n* Pregnancy and subsequent death within a specific time frame: This cohort includes women who died within a year (365 days) of a pregnancy regardless of cause of death or pregnancy outcome.\n* Hypertensive Disorders of pregnancy: This use case focuses on women with a diagnosis of hypertensive disorders of pregnancy.\n\nIn both instances, the IG will establish linkages via the US Core Related Person profile to collect associated child health data that may inform maternal health research outcomes. \n\nIn the future, the IG will expand this framework to a range of use cases including:\n* Risks for children related to maternal exposure to medications taken during pregnancy\n* Potential adverse maternal obstetric history impacts on child outcomes\n* Access to relevant sensitive health information\n* Retrospective population-based analysis of inherited disorders\n* The impacts of [work habits, work environment, and work-associated health insurance](http://hl7.org/fhir/us/odh/) impacts to pregnancy and maternal health\n\nThis guide fundamentally relies on creating structural relationships between:\n* Maternal and child records to effectively diagnose and treat otherwise fatal child outcomes\n* Maternal and child birth records and/or maternal and child death records\n* Maternal and child records in multiple disparate systems\n\n### Audience \nThe audience for this IG includes EHR vendors, developers of software tooling researchers, and associated information management systems. Researchers, business analysts, and policy managers can also benefit from a basic understanding of the use of this guide to support measure calculation for research purposes.\n\n### Authors & Project Team\nThis table lists the authors, subject matter experts, and the affiliations which contributed to this standard. \n\n<style type=\"text/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-4erg{border-color:inherit;font-style:italic;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0r4h{border-color:inherit;font-family:serif !important;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-fymr{border-color:inherit;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}\n</style>\n<table class=\"tg\">\n<thead>\n  <tr>\n    <th class=\"tg-fymr\">Name &amp; Affiliation</th>\n    <th class=\"tg-0r4h\">Role</th>\n    <th class=\"tg-fymr\">Contact</th>\n  </tr>\n</thead>\n<tbody>\n  <tr>\n    <td class=\"tg-4erg\">Lantana Consulting Group</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Courtney Panaia-Rodi </td>\n    <td class=\"tg-0pky\">Project Executive</td>\n    <td class=\"tg-0pky\">courtney.panaia-rodi@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Wendy Wise</td>\n    <td class=\"tg-0pky\">Project Manager</td>\n    <td class=\"tg-0pky\">wendy.wise@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lani Johnson</td>\n    <td class=\"tg-0pky\">Associate Project Manager</td>\n    <td class=\"tg-0pky\">lani.johnson@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rick Geimer</td>\n    <td class=\"tg-0pky\">FHIR Subject Matter Expert</td>\n    <td class=\"tg-0pky\">rick.geimer@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Zabrina Gonzaga</td>\n    <td class=\"tg-0pky\">Terminology Subject Matter Expert</td>\n    <td class=\"tg-0pky\">zabrina.gonzaga@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Sarah Gaunt</td>\n    <td class=\"tg-0pky\">Senior FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">sarah.gaunt@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Dave deRoode</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">david.deroode@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ming Dunajick</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">ming.dunajick@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ruby Nash</td>\n    <td class=\"tg-0pky\">FHIR Analyst</td>\n    <td class=\"tg-0pky\">ruby.nash@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the Assistant Secretary for Planning and Evaluation (ASPE)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Violanda Grigorescu, MD, MSPH</td>\n    <td class=\"tg-0pky\">Senior Health Scientist <br>Division of Healthcare Quality and Outcomes, Office of Health Policy</td>\n    <td class=\"tg-0pky\">violanda.grigorescu@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Centers for Disease Control and Prevention (CDC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Margaret Lampe, RN, MPH</td>\n    <td class=\"tg-0pky\">Nurse Epidemiologist &amp; Project Officer <br>Perinatal HIV Prevention Program</td>\n    <td class=\"tg-0pky\">mol0@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lisa Romero, DrPH</td>\n    <td class=\"tg-0pky\">Health Scientist <br>Division of Adolescent School Health</td>\n    <td class=\"tg-0pky\">eon1@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">National Institutes of Health (NIH) <br>Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) <br>National Information Center on Health Services Research and Health Care Technology (NICHSR)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alison Cernich</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director</td>\n    <td class=\"tg-0pky\">alison.cernich@nih.hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">John (Jack) Moye, Jr., MD</td>\n    <td class=\"tg-0pky\">Acting Director - National Children's Study <br>NICHD Medical Officer - Maternal &amp; Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">moyej@exchange.nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Nahida Chakhtoura, MD, MsGH</td>\n    <td class=\"tg-0pky\">NICHD Medical Officer <br>Maternal and Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">nahida.chakhtoura@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Juanita Chinn, PhD</td>\n    <td class=\"tg-0pky\">NICHD Program Director <br>Population Dynamics Branch</td>\n    <td class=\"tg-0pky\">juanita.chinn@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Valerie Cotton</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director <br>Office of Data Science and Sharing</td>\n    <td class=\"tg-0pky\">valerie.cotton@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Liz Amos, MLIS</td>\n    <td class=\"tg-0pky\">Special Assistant to the Chief Health Data Standards Officer <br>National Library of Medicine</td>\n    <td class=\"tg-0pky\">liz.amos@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the National Coordinator for Health IT (ONC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Carmen Smiley</td>\n    <td class=\"tg-0pky\">IT Specialist (Systems Analysis)</td>\n    <td class=\"tg-0pky\">carmen.smiley@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rachel Abbey</td>\n    <td class=\"tg-0pky\">Public Health Analyst &amp; Program Officer</td>\n    <td class=\"tg-0pky\">rachel.abbey@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Stephanie Garcia</td>\n    <td class=\"tg-0pky\">Senior Program Analyst</td>\n    <td class=\"tg-0pky\">stephanie.garcia@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Brittney Boakye, MPH</td>\n    <td class=\"tg-0pky\">Program Assistant <br>Scientific Advancement Branch</td>\n    <td class=\"tg-0pky\">brittney.boakye@hhs.gov<br></td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alan Taylor</td>\n    <td class=\"tg-0pky\">Medical Informatics Officer, Standards and Terminology</td>\n    <td class=\"tg-0pky\">albert.taylor@hhs.gov</td>\n  </tr>\n</tbody>\n</table>\n\n### Acknowledgements\nThis guide was developed and produced through the efforts of Health Level Seven (HL7) and created using the Trifolia-on-FHIR tool, provided by Lantana Consulting Group. The HL7 Project Insight reference number for this project is 1736.\nThe editors appreciate the support and sponsorship of the HL7 Public Health Workgroup, and all volunteers and staff associated with the creation of this document. This guide would not have been possible without the support of the following groups.\nHealth Level Seven, HL7, CDA, CCD, FHIR and the [FLAME DESIGN] are registered trademarks of Health Level Seven International, registered in the US Trademark Office.\n\nThis IG includes content from SNOMED CT, which is copyright © 2002+ International Health Terminology Standards Development Organisation (IHTSDO), and distributed by agreement between IHTSDO and HL7. Implementer use of SNOMED CT is not covered by this agreement.\n\nThis material contains content from [LOINC](http://loinc.org). LOINC is copyright © 1995-2021, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee and is available at no cost under the license at https://loinc.org/kb/license/. LOINC® is a registered United States trademark of Regenstrief Institute, Inc. (built Wed, Mar 29, 2023 19:24+0000+00:00)"},{"name":"fi.digious.kanta.test","version":"0.0.1-preview-2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fi.digious.kanta.test","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fi.digious.kanta.test-0.0.1-preview-2.tgz","date":"2023-04-05T13:54:50.000Z","description":"Profiles for integrating into various EHR systems, mainly Finnish Kanta"},{"name":"questinnaire.profiles","version":"0.0.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/questinnaire.profiles","kind":"fhir.ig","url":"https://packages2.fhir.org/web/questinnaire.profiles-0.0.2.tgz","date":"2023-04-12T16:21:39.000Z","description":"Test Profiles for Questionnaire App"},{"name":"hl7.fhir.uv.security-label-ds4p","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/security-label-ds4p","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.security-label-ds4p-1.0.0.tgz","date":"2023-04-18T00:00:28.000Z","description":"FHIR data segmentation for privacy security label implementation guide (built Mon, Apr 17, 2023 19:19+0000+00:00)"},{"name":"hl7.fhir.uv.vulcan-schedule","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/vulcan-schedule","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.vulcan-schedule-1.0.0.tgz","date":"2023-04-18T18:00:26.000Z","description":"FHIR Implementation Guide representing a Clinical Study Schedule of Activities (built Tue, Apr 18, 2023 16:34+0000+00:00)"},{"name":"hl7.fhir.us.hai-ltcf","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/hai-ltcf","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.hai-ltcf-1.1.0.tgz","date":"2023-04-19T18:00:24.000Z","description":"This implementation guide (IG) specifies standards for electronic submission of Healthcare Associated Infection (HAI) Long Term Care Facilities (LTCF) reports to the National Healthcare Safety Network (NHSN) of the Centers for Disease Control and Prevention (CDC). This IG contains a library of FHIR profiles for electronic submission of HAI LTCF reports to the NHSN.\n\nAs reports are modified and new report types are defined, CDC and Health Level Seven (HL7) will develop and publish additional constraints.\n\nThroughout this process, CDC remains the authority on NHSN data collection protocols. When healthcare enterprises choose to participate in NHSN, they must report to CDC reportable events such as identified MDRO (multidrug-resistant organism) or CDI (C. difficile infection) occurrences such as specific reportable procedures, even those without complications, and events such as a bloodstream infection, either confirmed by a positive blood culture or supported by a patients clinical symptoms. This specification opens the channel for data submission by all applications compliant with the data coding requirements defined here.\n\nNote that participation in the NHSN requires enrollment and filing of reporting plans, which are not defined by this specification. For an overview of NHSN and full information on NHSN participation requirements, see: [http://www.cdc.gov/nhsn](http://www.cdc.gov/nhsn). Provisions of the Public Health Service Act protect all data reported to NHSN from discovery through the Freedom of Information Act (FOIA).\n\n\n### Relationship to Another Standard\n\nHL7 has developed this FHIR implementation guide in parallel with the CDA implementation guide. We anticipate several STU releases on the path to a Normative Release 1 of the HL7 implementation guides for CDA and FHIR for Healthcare Associated Infection (HAI) Reports from Long Term Care Facilities (LTCF). The FHIR and CDA implementation guides will align. A change to one standard will require the same change in the other standard. \n\nIn this release, the new forms included in both the CDA and FHIR standards are:\n* **NHSN HAI LTCF Population Summary Report**: MDRO and CDI LabID Event Reporting Monthly Summary Data for LTCF\n* **NHSN HAI LTCF Single-Person Event Report**: Laboratory-identified MDRO or CDI Event for LTCF\n\nFor further details see the [NHSN website](https://www.cdc.gov/nhsn/) for reporting healthcare-associated infections in long-term care facilities.\n\n\n### Audience\n\nThe audience for this work is all developers of software systems who want to enable their systems for reporting HAI data to the NHSN.\n\n### Change Notification Process\n\nCDC maintains an e-mail list of contacts at organizations interested in or responsible for implementations of FHIR for LTCF HAI reporting to NHSN. To be added to the list, send a request with your contact information to nhsncda@cdc.gov. CDC uses the list for e-mail notifications of changes, including new data requirements. Changes may apply to this IG and to other documents such as business rules that are needed to implement and support FHIR for LTCF HAI reporting to NHSN. NHSN CDA related information may be found at https://www.cdc.gov/nhsn/cdaportal/index.html.  \n\n### Acknowledgements\n\nThis implementation guide was produced and developed by Lantana Consulting Group in conjunction with the Division of Healthcare Quality Promotion in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) at the Centers for Disease Control and Prevention (CDC). Its development and deployment are results of the dedication of the team—led by Daniel A. Pollock, M.D., Surveillance Branch Chief, Division of Healthcare Quality Promotion, NCEZID, CDC and  Jeneita Bell, MD, MPH, Long-term Care Team Lead, DHQP, NCEZID, CDC—and their support of the development of interoperable data standards for the CDC’s National Healthcare Safety Network (NHSN).  \n\nSpecial thanks and acknowledgment to stakeholders who participated in calls and provided feedback. Specifically, we would like to thank  Cindy Frakes, Steve Herron, Jamie Gatzke, Kelly Luden, Prasath Govindarajulu from Cerner;  Laura Ditz, Nancy Chi, Nichole (Nicki) Fetterman, Michael Furman, Patti Barton, Aga Lee from Point Click Care; Donna Doneski from NASL; and  Denise Wassenaar, Doc DeVore, Rob Price from Matrix  Care. \n\nThe best standards are those driven by business requirements. A strong set of Healthcare Associated Infection (HAI) surveillance application vendors monitor, evaluate, and test each release of this guide.  \n\n\n|-----|-----|-----|-----| \n\n|Primary Editor:|Sarah Gaunt|Lantana Consulting Group|sarah.gaunt@lantanagroup.com| \n|Primary Editor:|Zabrina Gonzaga|Lantana Consulting Group|zabrina.gonzaga@lantanagroup.com| \n|Primary Editor:|Dave deRoode|Lantana Consulting Group|david.deroode@lantanagroup.com| \n|Co-Editor:|Jeneita Bell, MD, MPH|CDC|hpq8@cdc.gov| \n|Co-Editor:|Angella Antilla PhD, MSN|CDC|vtb9@cdc.gov| \n|Co-Editor:|Daniel Pollock, M.D.|CDC|DPollock@cdc.gov| \n|Co-Editor:|Ahmed Tahir|Leidos Consultant to CDC/NHSN|nmn8@cdc.gov| \n|Co-Editor:|Mindy Durrance|Leidos Consultant to CDC/NHSN|mdq1@cdc.gov| \n|Co-Editor:|Sheri Chernetsky Tejedor, MD|CDC|yei9@cdc.gov| \n|Co-Editor:|Sheila Abner|CDC|sha8@cdc.gov| \n|Co-Chair:|Erin Holt MPH|Tennessee Department of Health|erin.holt@tn.gov| \n|Co-Chair:|Laura Rappleye|Altarum|laura.rappleye@altarum.org| \n|Co-Chair:|Craig Newman|Altarum|craig.newman@altarum.org| \n|Co-Chair:|Danny Wise|Allscripts|danny.wise@allscripts.com| \n|Co-Chair:|Joginder Madra|Madra Consulting Inc.|hl7@madraconsulting.com| \n|Co-Chair:|Gaye Dolin M.S.N., R.N. |Intelligent Medical Objects |gdolin@imo-online.com| \n|Co-Chair:|Calvin Beebe|Mayo Clinic|cbeebe@mayo.edu| \n|Co-Chair:|Austin Kreisler|Leidos Consultant to CDC/NHSN|duz1@cdc.gov| \n|Co-Chair:|Andrew Statler|Cerner Corp|andrew.statler@cerner.com| \n|Co-Chair:|Sean McIlvenna| Lantana Consulting Group|sean.mcilvenna@lantanagroup.com| \n|Co-Chair:|Benjamin Flessner|Redox|benjamin@redoxengine.com| \n|Co-Editor:|Beau Bannerman|Lantana Consulting Group|beau.bannerman@lantanagroup.com| \n|Technical Editor:|Diana Wright|Lantana Consulting Group|diana.wright@lantanagroup.com| \n|Technical Editor:|Chris Hannigan|Lantana Consulting Group|chris.hannigan@lantanagroup.com| \n (built Wed, Apr 19, 2023 14:58+0000+00:00)"},{"name":"hl7.fhir.us.sirb","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/sirb","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.sirb-1.0.0.tgz","date":"2023-04-20T18:00:24.000Z","description":"Data standards to move data and documents from clinical research sites to a single ethics review board in support of the \"NIH Policy on the Use of a Single Institutional Review Board for Multi-Site Research. 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(built Fri, Aug 25, 2023 15:28+0000+00:00)"},{"name":"hl7.fhir.us.icsr-ae-reporting","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/icsr-ae-reporting","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.icsr-ae-reporting-1.0.1.tgz","date":"2023-08-30T00:01:17.000Z","description":"A set of profiles that define the data elements needed to detect conditions and observations arising from transfusions or vaccinations that are candidates for Adverse Events as well as profiles that allow the reporting of Adverse Events (built Tue, Aug 29, 2023 21:13+0000+00:00)"},{"name":"ihe.iti.svcm","version":"1.5.1","fhirVersion":"4.0.1","canonical":"https://profiles.ihe.net/ITI/SVCM","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.iti.svcm-1.5.1.tgz","date":"2023-09-01T18:02:01.000Z","description":"The Sharing Valuesets, Codes, and Maps (SVCM) Profile defines a lightweight interface through which healthcare systems may retrieve centrally managed uniform nomenclature and mappings between code systems based on the HL7 Fast Healthcare Interoperability Resources (FHIR) specification. 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Choosing the appropriate form of the reporting is dependent upon workflow patterns. In particular, the implementation guides for Clinical Care adverse events and Clinical Research adverse events provide important extensions, value-sets and examples for implementing AdverseEvent.  This guide, the Clinical Research adverse event implementation guide, is for the clinical research setting. In this setting, the event is tracked and evaluated as part of the clinical research process for the research study.  In the research setting an adverse event is the result of an intervention that caused unintentional harm to a specific subject or group of subjects (this is surfaced in the profile as a constraint of ‘actual’ for the value of ‘actuality’). An example of an adverse event in the clinical research setting would be a patient develops renal failure while on a study drug. These events are characterized by the need to capture cause-and-effect (although they might not be known at the time of the event), severity, and outcome.  The context of an adverse event is also important, and captured in the AdverseEvent Clinical Research Profile data elements. A subject may have condition(s) or current treatments (medications, diet, devices) that impact their response to a newly introduced medication, device or procedure. Knowledge of these variables is essential in establishing a cause-and-effect relationship for an adverse event. This information is represented with corresponding resources (e.g. Procedure Resource for procedures, etc.) and referenced.  A potential adverse event may also be called a near miss or an error, these are not reported with the AdverseEvent Clinical Research Profile.  ### Scope This FHIR IG enables the collection of adverse events in real-world data (RWD) sources such as electronic health records (EHR) and personal health records (PHR) that occur during clinical trials. It ensures the appropriate AE representation required to support clinical research trials within a regulated environment. As the AEs are collected in RWD sources, the data can be transmitted via FHIR to clinical trial management systems, regulatory agencies, sponsors, and clinical research organizations for further processing and reporting.  In the pre-market clinical research setting, serious adverse events must be reported to the sponsor, clinical research organization, and regulatory agencies within a specific time frame for Institutional Review Boards (IRBs) and Data Safety Monitoring Board (DSMB) review. By using this IG, a clinical investigator can document an AE in the EHR, it can be received by a secondary clinical trial management system for triage and then forwarded to the sponsor and regulatory agencies. Similarly, a patient on a clinical trial can record an adverse event in their PHR that is then shared with the clinical investigator and reported to the sponsor and regulatory agencies as necessary. In a post-market situation, a patient, provider, or manufacturer can record the adverse event in a system and then report it to the FDA as a FHIR based MedWatch form.  Within this guide are several examples. Every effort has been made to capture the most important details of the use of the AdverseEvent profile. However, some examples may provide only a stub to referenced resources (e.g. instances of Patient Resource will be referenced using logical ids but are not resolvable, implementation of Patient is left for other guidance and is not the subject of this guide). Connectathons are ideal opportunities to create, compare and consider the holistic implementation of all FHIR Resources. (built Tue, Apr 30, 2024 20:50+0000+00:00)"},{"name":"hl7.fhir.uv.ae-research-ig","version":"1.0.1","fhirVersion":"5.0.0","canonical":"http://hl7.org/fhir/uv/ae-research-ig","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.ae-research-ig-1.0.1.tgz","date":"2024-05-01T00:01:47.000Z","description":"### Intent The intent of this guide is to provide a profile on the FHIR AdverseEvent Resource suitable for Clinical Research.  ### Overview A single Adverse Event (AE) may need to be reported in multiple ways. Choosing the appropriate form of the reporting is dependent upon workflow patterns. In particular, the implementation guides for Clinical Care adverse events and Clinical Research adverse events provide important extensions, value-sets and examples for implementing AdverseEvent.  This guide, the Clinical Research adverse event implementation guide, is for the clinical research setting. In this setting, the event is tracked and evaluated as part of the clinical research process for the research study.  In the research setting an adverse event is the result of an intervention that caused unintentional harm to a specific subject or group of subjects (this is surfaced in the profile as a constraint of ‘actual’ for the value of ‘actuality’). An example of an adverse event in the clinical research setting would be a patient develops renal failure while on a study drug. These events are characterized by the need to capture cause-and-effect (although they might not be known at the time of the event), severity, and outcome.  The context of an adverse event is also important, and captured in the AdverseEvent Clinical Research Profile data elements. A subject may have condition(s) or current treatments (medications, diet, devices) that impact their response to a newly introduced medication, device or procedure. Knowledge of these variables is essential in establishing a cause-and-effect relationship for an adverse event. This information is represented with corresponding resources (e.g. Procedure Resource for procedures, etc.) and referenced.  A potential adverse event may also be called a near miss or an error, these are not reported with the AdverseEvent Clinical Research Profile.  ### Scope This FHIR IG enables the collection of adverse events in real-world data (RWD) sources such as electronic health records (EHR) and personal health records (PHR) that occur during clinical trials. It ensures the appropriate AE representation required to support clinical research trials within a regulated environment. As the AEs are collected in RWD sources, the data can be transmitted via FHIR to clinical trial management systems, regulatory agencies, sponsors, and clinical research organizations for further processing and reporting.  In the pre-market clinical research setting, serious adverse events must be reported to the sponsor, clinical research organization, and regulatory agencies within a specific time frame for Institutional Review Boards (IRBs) and Data Safety Monitoring Board (DSMB) review. By using this IG, a clinical investigator can document an AE in the EHR, it can be received by a secondary clinical trial management system for triage and then forwarded to the sponsor and regulatory agencies. Similarly, a patient on a clinical trial can record an adverse event in their PHR that is then shared with the clinical investigator and reported to the sponsor and regulatory agencies as necessary. In a post-market situation, a patient, provider, or manufacturer can record the adverse event in a system and then report it to the FDA as a FHIR based MedWatch form.  Within this guide are several examples. Every effort has been made to capture the most important details of the use of the AdverseEvent profile. However, some examples may provide only a stub to referenced resources (e.g. instances of Patient Resource will be referenced using logical ids but are not resolvable, implementation of Patient is left for other guidance and is not the subject of this guide). Connectathons are ideal opportunities to create, compare and consider the holistic implementation of all FHIR Resources. (built Tue, Apr 30, 2024 20:20+0000+00:00)"},{"name":"hl7.fhir.uv.pharm-quality","version":"1.0.0","fhirVersion":"5.0.0","canonical":"http://hl7.org/fhir/uv/pharm-quality","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.pharm-quality-1.0.0.tgz","date":"2024-05-08T18:00:53.000Z","description":"This IG is developed for the HL7 International Pharmaceutical Quality (PQ) - Industry Use Case project, sponsored by the Biomedical Research and Regulation Work Group \n* [Project Proposal: PSS-2137](https://jira.hl7.org/browse/PSS-2137)\n* [Project Scope Statement: PSS-2145](https://jira.hl7.org/browse/PSS-2145) (built Wed, May 8, 2024 13:18+0000+00:00)"},{"name":"nictiz.fhir.nl.r4.profilingguidelines","version":"0.9.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.r4.profilingguidelines","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.r4.profilingguidelines-0.9.0.tgz","date":"2024-05-15T14:44:16.000Z","description":"This package contains profiles to check conformance to the Nictiz profiling guidelines for FHIR R4."},{"name":"acme.dallas.cowboy","version":"0.1.0-alpha","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/acme.dallas.cowboy","kind":"fhir.ig","url":"https://packages2.fhir.org/web/acme.dallas.cowboy-0.1.0-alpha.tgz","date":"2024-05-21T19:30:52.000Z","description":"Definition of the Dallas Cowboy"},{"name":"cidadex.testex","version":"1.0.1-beta","fhirVersion":"5.0.0","canonical":"http://simplifier.net/packages/cidadex.testex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/cidadex.testex-1.0.1-beta.tgz","date":"2024-05-29T12:12:16.000Z","description":"rede de dados em saúde da cidade X"},{"name":"fmcna.caredata.fhir.ig.r4","version":"1.1.9","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fmcna.caredata.fhir.ig.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fmcna.caredata.fhir.ig.r4-1.1.9.tgz","date":"2024-05-30T19:50:20.000Z","description":"Fresenius Medical Care Data Model"},{"name":"ig.fhir-il-community.org.t17","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ig.fhir-il-community.org.t17","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ig.fhir-il-community.org.t17-1.0.0.tgz","date":"2024-06-03T15:09:39.000Z","description":"A national project for managing the pre authorization process between HMOs and Hospitals for ambulatory hospital services "},{"name":"fhir.outburn.co.il","version":"0.5.5","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fhir.outburn.co.il","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fhir.outburn.co.il-0.5.5.tgz","date":"2024-06-04T12:50:11.000Z","description":"outburn LTD\r\n\r\nhttp://outburn.co.il"},{"name":"ihe.pcc.maps","version":"1.0.0-comment","fhirVersion":"4.0.1","canonical":"https://profiles.ihe.net/PCC/mAPS","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.pcc.maps-1.0.0-comment.tgz","date":"2024-06-05T00:01:35.000Z","description":"Antepartum Summary is a content profile that defines the structure for the aggregation of significant events, diagnoses, and plans of care derived from the visits over the course of an antepartum episode. 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It also addresses exchanging terminology change sets containing provisional concepts not yet incorporated in source terminologies, such as those requiring rapid distribution during a pandemic-response context. Analysis of semantic detail to include is informed by the Tinkar Standardized Terminology Knowledgebase (https://www.hl7.org/implement/standards/product_brief.cfm?product_id=573) Reference Model, and mappings from that architecture are included on CodeSystem profiles.  It provides background and context for the Tinkar Standardized Terminology Knowledgebase Reference Model and its native representation to enable lossless knowledge assets in various formats.  In 2021, HL7 published the HL7 Logical Model: Standardized Terminology Knowledgebase, Release 1—an informative document outlining the requirements for managing terminology across diverse healthcare organizations. This document emphasized the need for a robust terminology foundation, supporting extensions for various informatics systems. It introduced a self-describing logical model for terminology knowledge bases, specifically designed to represent standard terminology modules such as SNOMED CT Releases, value sets, coding systems, local terms, and equivalence mappings. The logical model comprehensively captured internal semantics, concept details, detailed relationships between terms, and hierarchies of standard terminology modules. The foundation for a standard-based Terminology Knowledge Architecture (Tinkar) specification was articulated to facilitate knowledge management for terminology among vendors, providers, and standards development organizations, including Health Level Seven International (HL7). 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(built Wed, Dec 4, 2024 15:44-0600-06:00)"},{"name":"sand.box","version":"0.8.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/sand.box","kind":"fhir.ig","url":"https://packages2.fhir.org/web/sand.box-0.8.1.tgz","date":"2024-12-06T22:01:04.000Z","description":"This is a sandbox project "},{"name":"implementation.guide.nhdr","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/implementation.guide.nhdr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/implementation.guide.nhdr-1.0.0.tgz","date":"2024-12-06T22:03:52.000Z","description":"DRAFT: Philippine CDI Implementation Guide for Integration with the National Health Data Repository (NHDR)"},{"name":"tw.cathay.fhir.imri","version":"1.0.0","fhirVersion":"4.0.1","canonical":"https://imri.cgh.org.tw/imri","kind":"fhir.ig","url":"https://packages2.fhir.org/web/tw.cathay.fhir.imri-1.0.0.tgz","date":"2024-12-12T12:08:12.000Z","description":"醫查實作指引"},{"name":"hl7.fhir.uv.cardx-htn-mng","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/cardx-htn-mng","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cardx-htn-mng-1.0.0.tgz","date":"2024-12-12T18:00:40.000Z"},{"name":"hl7.fhir.uv.genomics-reporting","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/genomics-reporting","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.genomics-reporting-3.0.0.tgz","date":"2024-12-13T00:00:41.000Z","description":"Guidelines for reporting of clinical genomics results using HL7 FHIR. (built Thu, Dec 12, 2024 20:34+0000+00:00)"},{"name":"ihe.iti.scheduling","version":"1.0.0","fhirVersion":"4.0.1","canonical":"https://profiles.ihe.net/ITI/Scheduling","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.iti.scheduling-1.0.0.tgz","date":"2024-12-13T00:01:39.000Z","description":"The IHE FHIR Scheduling Profile is a specification providing FHIR APIs and guidance for access to and booking of appointments for patients by both patient and practitioner end users. This specification is based on FHIR Version 4 and specifically the Schedule, Slot, and Appointment resources, and on the previous work of the [Argonaut Project](https://fhir.org/guides/argonaut/scheduling/release1/). (built Thu, Dec 12, 2024 08:19-0600-06:00)"},{"name":"de.medizininformatikinitiative.kerndatensatz.mikrobiologie","version":"2025.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.medizininformatikinitiative.kerndatensatz.mikrobiologie","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.medizininformatikinitiative.kerndatensatz.mikrobiologie-2025.0.1.tgz","date":"2024-12-15T13:40:53.000Z","description":"Medizininformatik Initiative - Modul Mikrobiologie"},{"name":"hl7.fhir.us.ccda","version":"2.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/ccda","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ccda-2.0.0-ballot.tgz","date":"2024-12-18T00:00:39.000Z","description":"Consolidated CDA (C-CDA) is one of the most widely implemented implementation guides for CDA and covers a significant scope of clinical care. Its target of the 'common/essential' elements of healthcare is closely aligned with FHIR's focus on the '80%'. There is significant interest in industry and government in the ability to interoperate between CDA and FHIR and C-CDA is a logical starting point. Implementers and regulators have both expressed an interest in the ability to map between FHIR and C-CDA.\n\nThis Implementation Guide (IG) defines a series of FHIR profiles on the Composition resource to represent the various document types in C-CDA. This release does not directly map every C-CDA template to FHIR profiles, rather tries to accomplish the C-CDA use case using Composition resource profiles created under this project (the equivalent of Level 2 CDA documents), and begins by linking to the profiles created under the US Core project for any coded entries that would normally be included in C-CDA sections. To have a simpler, more streamlined standard that reuses existing work and focuses on the 80% that implementers actually need in production systems, the resources of US Core represents a portion of the 80% needed for coded entries for coded entries of CCD, Care Plan & Discharge Summary).\n\nThe Composition profiles in this IG do not require coded data in any section. This is a departure from C-CDA, which requires coded data for Problems, Results, Medications, etc. This departure is intentional, as the C-CDA requirement for one or more coded entries in these sections resulted in some very complicated workarounds using nullFlavors to handle the fact that sometimes a patient is not on any medications, or has no current problems. In general, FHIR takes the approach that if something is nullable, it should simply be optional to ease the burden on implementers, thus C-CDA on FHIR does not require any coded entries, but rather uses the \"required if known\" approach, meaning that if an implementer's system has data for a section that requires data under Meaningful Use, they need to send it, but if they have no data there is no need for a null entry.\n\nWe encourage feedback on these Composition profiles, and the general approach to the project as a whole. We also encourage implementers who wish to see more of the coded data from C-CDA mapped to FHIR to comment on the US Core project and make their requests known there. Once US Core creates new profiles, this project can reference them.\n\n### Scope\n\nTo represent Consolidated CDA Templates for Clinical Notes (C-CDA) 2.1 templates using FHIR profiles.\n\nThis first stage of the project defines all the C-CDA document-level profiles on the Composition resource and contained sections.\n\nAny coded data used by sections will be represented using relevant U.S. Core FHIR profiles where they exist. FHIR profiles defined by other work groups or unconstrained FHIR resources may also be referenced if no appropriate US Core Profile exist.\n\nFor further information see the C-CDA specification here: http://www.hl7.org/implement/standards/product_brief.cfm?product_id=408. 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(built Mon, Jan 27, 2025 10:36+0000+00:00)"},{"name":"hl7.at.fhir.core.r5","version":"2.0.0","fhirVersion":"5.0.0","canonical":"http://hl7.at/fhir/HL7ATCoreProfiles/5.0.0","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.at.fhir.core.r5-2.0.0.tgz","date":"2025-01-28T12:03:54.000Z","description":"An Implementation Guide for the HL7® Austria FHIR® Core Profiles. (built Fri, Jan 24, 2025 14:19+0000+00:00)"},{"name":"ca.on.oh-ereferral-econsult","version":"0.12.0-projectathon1.0.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ca.on.oh-ereferral-econsult","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.on.oh-ereferral-econsult-0.12.0-projectathon1.0.2.tgz","date":"2025-01-28T22:29:18.000Z","description":"Ontario-specific business use cases and content"},{"name":"ca.on.oh.erec","version":"0.12.0-projectathon1.0.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ca.on.oh.erec","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.on.oh.erec-0.12.0-projectathon1.0.2.tgz","date":"2025-01-28T22:30:36.000Z","description":"Ontario eReferral-eConsult Implementation Guide\r\n\r\n\r\nClick https://simplifier.net/guide/ca-on-ereferral-r4-iguide/Index?version=0.11.1 to access the most recently published IG (v0.11.1)\r\n\r\n"},{"name":"de.netzwerk-universitaetsmedizin.ceosys.template","version":"0.1.2","fhirVersion":"4.0.1","canonical":"https://www.netzwerk-universitaetsmedizin.de/fhir/ceosys/ig-template-ceosys","kind":"fhir.template","url":"https://packages2.fhir.org/web/de.netzwerk-universitaetsmedizin.ceosys.template-0.1.2.tgz","date":"2025-01-31T18:03:46.000Z","description":"CEOsys template extension for FHIR IG"},{"name":"de.biv-ot.everordnungabgabedaten","version":"0.1.0-preview","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.biv-ot.everordnungabgabedaten","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.biv-ot.everordnungabgabedaten-0.1.0-preview.tgz","date":"2025-02-01T23:12:29.000Z","description":"Abgabedaten-Modell für die eVerordnung Hilfsmittel"},{"name":"hl7.fhir.dk.smart","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.dk/fhir/smart","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.dk.smart-1.0.0.tgz","date":"2025-02-02T00:01:45.000Z","description":"Guidelines for using the SMART App Launch mechanism in Denmark. (built Sat, Feb 1, 2025 20:09+0100+01:00)"},{"name":"smart.who.int.dak-immz","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://smart.who.int/dak-immz","kind":"fhir.ig","url":"https://packages2.fhir.org/web/smart.who.int.dak-immz-1.0.0.tgz","date":"2025-02-04T18:03:43.000Z","description":"SMART DAK for Immunizations (built Mon, Feb 3, 2025 11:15+0000+00:00)"},{"name":"nxh.fhir.r4","version":"0.0.0-beta.20","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/nxh.fhir.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nxh.fhir.r4-0.0.0-beta.20.tgz","date":"2025-02-06T07:08:19.000Z","description":"Technical profiles used by nexuzhealth for the import and export of data. "},{"name":"ans.fhir.fr.cdl","version":"3.0.0","fhirVersion":"4.0.1","canonical":"https://interop.esante.gouv.fr/ig/fhir/cdl","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ans.fhir.fr.cdl-3.0.0.tgz","date":"2025-02-07T06:01:35.000Z"},{"name":"de.gematik.dev.epa","version":"1.0.5-alpha.3","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.gematik.dev.epa","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.gematik.dev.epa-1.0.5-alpha.3.tgz","date":"2025-02-07T13:10:43.000Z","description":"ePA Common"},{"name":"ans.fr.nos","version":"1.5.0","fhirVersion":"4.0.1","canonical":"https://interop.esante.gouv.fr/ig/nos","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ans.fr.nos-1.5.0.tgz","date":"2025-02-12T06:01:40.000Z","description":"Les nomenclatures des objets de Sante (built Tue, Feb 11, 2025 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opisuje funkcionalnosti usluge za upravljanje slučajevima."},{"name":"t.est-project2052","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/t.est-project2052","kind":"fhir.ig","url":"https://packages2.fhir.org/web/t.est-project2052-1.0.1.tgz","date":"2025-02-18T07:40:33.000Z","description":"test for learning"},{"name":"hl7.fhir.uv.vhdir","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/vhdir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.vhdir-1.0.0.tgz","date":"2025-02-18T18:00:48.000Z","description":"This is a Healthedata1 sandbox for creation of resources and examples (built Tue, Feb 18, 2025 15:14+0000+00:00)"},{"name":"ca.argentixinfo.howtopub","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://argentixinfo.com/ig/howtopub","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.argentixinfo.howtopub-1.1.0.tgz","date":"2025-02-21T12:02:17.000Z","description":"A Guide to HL7 IG Publisher's -go-publish feature (built Thu, Feb 20, 2025 21:17-0800-08:00)"},{"name":"hl7.fhir.ca.baseline","version":"1.2.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/ca/baseline/ImplementationGuide/hl7.fhir.ca.baseline","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.ca.baseline-1.2.0.tgz","date":"2025-02-21T20:03:57.000Z","description":"Canadian Baseline (CA Baseline) FHIR Profiles\r\n\r\nThe goal of the CA Baseline specification is to expose the implementation guide author community and vendor community to a set of profiles that identify the data elements, code systems and value sets that are commonly present across Canada for a given FHIR resource (e.g., patient, medication, etc.) regardless of use case, jurisdiction or 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(built Wed, Mar 19, 2025 14:34+0000+00:00)"},{"name":"tw.cohesion.fhir.clinemr","version":"1.0.0","fhirVersion":"4.0.1","canonical":"https://fhir.cohesiondata.com/clinemr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/tw.cohesion.fhir.clinemr-1.0.0.tgz","date":"2025-03-20T10:16:26.000Z","description":"診所門診病摘實作指引"},{"name":"test.public.project.pvt.package","version":"0.0.4","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/test.public.project.pvt.package","kind":"fhir.ig","url":"https://packages2.fhir.org/web/test.public.project.pvt.package-0.0.4.tgz","date":"2025-03-24T12:13:30.000Z","description":"test"},{"name":"kanta.sosiaalihuolto.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/kanta.sosiaalihuolto.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/kanta.sosiaalihuolto.r4-1.0.0.tgz","date":"2025-03-25T11:41:26.000Z","description":"Kanta sosiaalihuolto R4, sosiaalihuollon luovutusilmoitus. 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It defines how to represent coded content used to support the care planning activities focusing on the needs of patients with multiple chronic conditions. This initial version focuses on Chronic Kidney Disease Type 2 diabetes mellitus, common cardiovascular disease (hypertension, ischemic heart disease and heart failure), chronic pain and Long Covid.The profiles defined within this IG were based on data elements of importance identified by the National Institute of Health's (NIH) National Institute of Diabetes and Digestive and Kidney Disease technical expert panels.\n\nA Care Plan is a consensus-driven dynamic plan that represents a patient’s and Care Team Members’ prioritized concerns, goals, planned and actual interventions and the resultant care outcomes. It serves as a blueprint shared by all Care Team Members (including the patient, their caregivers, and providers), to guide the patient’s care. A Care Plan integrates multiple interventions proposed by multiple providers and disciplines for multiple conditions. A Care Plan may represent one or more Care Plans and serves to reconcile and resolve conflicts between the various plans developed for a specific patient by different providers. It supports the following use cases:\n \n1.         Query for patient data across providers and compile into a consolidated care plan representation.\n2.         Encourage capture of and communication of a patient's health concerns and related goals, interventions, and outcomes.\n3.         Gather and aggregate patient data for uses beyond the point of care (e.g. public health, population health, quality measurement, risk adjustment, quality improvement, and research.)\n\nThis FHIR IG addresses the needs of multiple audiences. It provides technical artifacts that assist programmers when implementing standards-based FHIR application program interfaces (APIs) for specific purposes. It provides instructive material that explains how FHIR is used to accomplish specific use cases. It also provides general information that helps business analysts and technology decision-makers understand the use cases and benefits associated with achieving specific data exchange capabilities. A FHIR IG is as much a business planning tool as it is an educational resource and a technical specification.\n\n### How to Read this Guide and Cautions\nThis Guide is divided into several pages which are listed in the navigation bar at the top each page. The contents of each page are listed in a yellow \"Contents\" box at the top right of each page.\n\n### Value Set Library\n\nRather than creating nearly 1000 profiles covering important concepts for chronic care coordination for use within the MCC FHIR Care Plan profile, we have created 21 foundation profiles which conform to US Core Profiles (where available) adding constraints or extensions pertinent to their representation within a dynamic FHIR care plan and then creating libraries of value sets pertinent to the base profiles for representing chronic conditions, and their related interventions and goals and outcomes. \nThis project has built and houses its value sets in the National Library of Medicine's (NLM) Value Set Authority Center (VSAC). The value sets are not directly bound within the foundation profiles, but value set library pages are provided with links to the value sets in VSAC and descriptions of where within the profile each value set may be used. Because the value sets are housed in VSAC, it is necessary for implementation sites to obtain a free (for the US) UMLS license. In addition, HL7 FHIR Policies requiring everything to be open source in all realms, may present some implementation validation issues when interfacing with a value set housed in VSAC. This IG will provide guidance for this issue.\n\n### History of the Care Plan and Electronic Care Plans\n\nThe concept of a care plan began as a teaching tool for nursing students to research and document the medical conditions their patients had and identify the associated nursing care and family support needed. This was documented in a structured paper format that fostered the nursing process. The nursing process is the identification of health concerns and related goals, and the interventions needed to meet those goals and then evaluating the meeting of those goals – the outcomes. Over the years, the care plan evolved from a student teaching tool to something required for most patients in some format by various regulating or certifying bodies, and further, from a nursing care based plan, to an interdisciplinary patient focused tool.\n\nMost major vendors have electronic Care Plan modules, but the degree to which the modules are implemented and actively used is unknown. Few, if any, are exchange standards ready or mapped to exchange standards. The first HL7 standard representing Care Plan was the C-CDA Care Plan document designed to represent an instance of an EHR Care Plan similar to the Continuity of Care (CCD) CDA. Many of the learnings and designs for the FHIR Care Plan Resource and this IG were derived from the C-CDA Care Plan. There is also an IHE [Dynamic Care Planning (DCP)](https://wiki.ihe.net/index.php/Dynamic_Care_Planning_(DCP)) that provides the structures and transactions for care planning, creating, updating and sharing Care Plans that meet the needs of many, such as providers, patients and payers..  The Office of the National Coordinator (ONC) has put into regulation requirements around goals and health concerns which can currently be met by free text. The Dynamic Care Planning (DCP) Profile provides leveraged FHIR Resources to provide the structures and transactions for care planning and sharing Care Plans that meet the needs of many, such as providers, patients and payers. The DCP profile leverages the FHIR Care Plan resource, but does not specify, describe or define the use of it for representing specific conditions or multiple conditions. We are unaware of any real world implementations of it at this time.\n\nWe believe that this IG will be the first fully defined HL7 FHIR IG leveraging the FHIR Care Plan resources as its backbone structure for representing a dynamic care plan and testing its ability to bring together aggregated patient care plan data including patient outcomes.\n\n### Project Overview\n\nMore than 25 percent of Americans have MCC, accounting for more than 65 percent of U.S. healthcare spending. These individuals have complex health needs handled by diverse providers, across multiple settings of care. As a result, their care is often fragmented, poorly coordinated, and inefficient. Therefore, data aggregation is particularly important and challenging for people with MCC. These challenges will increasingly strain the U.S. health system, with the aging of the U.S. population. Projections suggest numbers of adults aged 65 and older will more than double and numbers of those aged 85 and older will triple by 2050.\n \nCare plans are a prominent part of multifaceted, care coordination interventions that reduce mortality and hospitalizations and improve disease management and satisfaction. In addition, proactive care planning promotes person-centeredness, improves outcomes, and reduces the cost of care. By design, care plans take a patient-centered approach, both by making comprehensive health data available across providers and settings and through the incorporation of data elements that have not traditionally been included in health IT systems (e.g., social determinants of health SDOH, patient health and life goals, patient preferences). While Care Plans have been developed, they remain paper-based in many U.S. healthcare settings and are not standardized and interoperable across care settings when electronic. While care plans focused on a single disease or condition are unlikely to be tenable for patients with MCC or their providers, existing care plans infrequently address individuals with MCC. The development of care plans based on structured data has been proposed as a method for enabling electronic systems to pull together and share data elements automatically and dynamically. Such aggregated data would not only provide actionable information to identify and achieve health and wellness goals for individuals with MCC, but also would reduce missingness and improve quality of point-of-care data for use in pragmatic research.\n \nThe Fast Healthcare Interoperability Resources (FHIR) specification is an open-source standard for exchanging healthcare information electronically based on emerging industry approaches. The FHIR workflow specification includes a CarePlan request resource that may facilitate transfer of data for an e-care plan across healthcare settings. SMART (https://smarthealthit.org/) and SMART on FHIR standards include open specifications to integrate applications with health IT systems and may enable the development of an e-care plan application that can integrate with a variety of electronic health record (EHR) systems.\n\nInitiated by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the multiple chronic conditions (MCC) electronic care (eCare) Plan Project aims to develop, test, and pilot an interoperable eCare plan that will facilitate aggregation and sharing of critical patient-centered data across home, community, clinic, and research-based settings for persons with MCC, including chronic kidney disease (CKD), type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), pain with opioid use disorder (OUD), and long COVID. \n\nThe HL7-based activities of the MCC eCare Plan Project include:\n \n - Identified use cases to support the documentation and exchange of MCC eCare plan data within EHRs and related systems.\n - Identified, developed, and prioritized the necessary MCC data elements and clinical terminology standards and FHIR® mappings that will enable the standardized transfer of data across health settings.\n - Develop, test, and ballot an HL7® Fast Health Interoperability Resources (FHIR®) Implementation Guide based on the defined use cases and MCC data elements.\n \nNon-HL7 related activities of the MCC eCare Plan project will be facilitated through the [AHRQ eCare Plan Project Confluence](https://ecareplan.ahrq.gov/collaborate):\n - The project includes the develoment and testing of an open-source clinician and patient facing SMART-on-FHIR eCare plan application for managing persons with MCC.\n\n####  Project Timelines\n - January 2024: A For comment ballot to gather community input prior to the formal STU Ballot\n - September 2024: Formal STU Ballot\n - May 2025 Formal HL7 Publication\n\n\n### Guidance\nThe guidance section provides general implementation guidance and best practices. It describes the relation to and reuse of the US Core Implementation Guide profiles and reuse of its conformance requirements and expectations for the servers and client applications. Vocabulary use and value set binding heuristics are described.\n\n####  Relationship to US Core\n\nThis Implementation Guide reuses US Core profiles either through direct use or by constraining select profiles for representation within a FHIR Care Plan profile. Where US Core does not have a profile or function that is needed for the use cases or data elements, the IG constrains or directly reuses other resources, or profiles defined in other FHIR IGs. \nThis guide will reuse the US Core Care Plan. However, the required US Core CarePlan.text and the required Care.Plan.category:AssessPlan may be limiting factors for this context of use: aggregation of multiple chronic condition care plans and the ability to query for structured data within a structured Care Plan. As such, we recommend adding additional Care Plan categories if deemed more informational to reflect multiple chronic condition care coordination and plans and to hard code “Multiple Chronic Condition Care Coordination Plan” at CarePlan.text\n\n\n#####  General US Core IG Conformance\n\nThis guide will adhere to or build on US conformance requirements, most of its [General Guidance](https://www.hl7.org/fhir/us/core/general-guidance.html), and its [Capability Statements](https://www.hl7.org/fhir/us/core/capstatements.html) where applicable. \n\n#####  Provenance\n\nThis IG recommends implementers adhere to guidelines and definitions provided in US Core’s [Basic Provenance Guidance](https://www.hl7.org/fhir/us/core/basic-provenance.html). \n\n#####  Must Support\n\nThis IG will adhere to the US Core [Must Support](https://www.hl7.org/fhir/us/core/general-guidance.html#must-support) concept and rules.\n\n### Acknowledgements\nThis Implementation Guide was made possible through the visionary leadership of the [National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) ](https://www.niddk.nih.gov/)and the [Agency for Healthcare Research and Quality (AHRQ) ](https://www.ahrq.gov/)with funding from the [Office of the Assistant Secretary for Planning and Evaluation (ASPE)](https://aspe.hhs.gov/collaborations-committees-advisory-groups/os-pcortf/explore-portfolio). The joint NIDDK-AHRQ project team can be found [here](https://cmext.ahrq.gov/confluence/display/EC/Project+Team). We would also like to thank the many clinicians, patients, caregivers, researchers, advocates, and subject matter experts who served on our [Technical Expert Panels](https://cmext.ahrq.gov/confluence/display/EC/Technical+Expert+Panels) and [Contract Monitoring Board ](https://cmext.ahrq.gov/confluence/display/EC/Contract+Monitoring+Board) for their time, insight, and support. \n\nThis Implementation Guide was created under the supervision and review of the [HL7 Patient Care Work Group](https://www.hl7.org/Special/committees/patientcare/index.cfm). This is the HL7 project page for the [Multiple Chronic Conditions e-Care Project.](https://confluence.hl7.org/display/PC/Multiple+Chronic+Conditions+%28MCC%29+eCare+Plan)\n\n (built Tue, Aug 13, 2024 20:59+0000+00:00)"},{"name":"hl7.fhir.us.mcode","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/mcode","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mcode-3.0.0.tgz","date":"2025-04-10T00:01:23.000Z","description":"mCODE™ (short for Minimal Common Oncology Data Elements) is an initiative intended to assemble a core set of structured data elements for oncology electronic health records. 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(built Thu, Jan 26, 2023 09:44+0100+01:00)"},{"name":"lin.project","version":"0.6.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/lin.project","kind":"fhir.ig","url":"https://packages2.fhir.org/web/lin.project-0.6.0.tgz","date":"2025-05-08T09:12:04.000Z","description":"新增实施指南"},{"name":"medcom.fhir.dk.xdsmetadata","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://medcomfhir.dk/ig/xdsmetadata","kind":"fhir.ig","url":"https://packages2.fhir.org/web/medcom.fhir.dk.xdsmetadata-1.0.1.tgz","date":"2025-05-08T12:02:15.000Z"},{"name":"nictiz.fhir.nl.stu3.bgz","version":"2.0.3-beta.2","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/nictiz.fhir.nl.stu3.bgz","kind":"fhir.ig","url":"https://packages2.fhir.org/web/nictiz.fhir.nl.stu3.bgz-2.0.3-beta.2.tgz","date":"2025-05-08T15:19:30.000Z","description":"Nictiz NL package of FHIR STU3 conformance resources for BgZ."},{"name":"vzvz.fhir.nl-vzvz-core","version":"0.3.3","fhirVersion":"4.3.0","canonical":"http://simplifier.net/packages/vzvz.fhir.nl-vzvz-core","kind":"fhir.ig","url":"https://packages2.fhir.org/web/vzvz.fhir.nl-vzvz-core-0.3.3.tgz","date":"2025-05-12T13:35:22.000Z","description":"Generic FHIR artifacts for VZVZ projects"},{"name":"medcom.fhir.dk.conditionlist","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://medcomfhir.dk/ig/conditionlist","kind":"fhir.ig","url":"https://packages2.fhir.org/web/medcom.fhir.dk.conditionlist-1.0.1.tgz","date":"2025-05-13T12:02:20.000Z","description":"The MedCom ConditionList Implementation Guide includes profiles developed exchange a patients diagnoses in a FHIR-document (built Tue, May 13, 2025 06:30+0000+00:00)"},{"name":"ndhm.in","version":"6.5.0","fhirVersion":"4.0.1","canonical":"https://nrces.in/ndhm/fhir/r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ndhm.in-6.5.0.tgz","date":"2025-05-13T12:06:49.000Z"},{"name":"hl7.fhir.us.mdi","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/mdi","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mdi-2.0.0.tgz","date":"2025-05-15T18:00:52.000Z"},{"name":"hl7.fhir.us.davinci-atr","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-atr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-atr-2.1.0.tgz","date":"2025-05-17T00:00:50.000Z","description":"Exchange of member attribution list between payers and providers  (built Fri, May 16, 2025 16:00+0000+00:00)"},{"name":"hl7.fhir.us.smp","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/smp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.smp-1.0.0.tgz","date":"2025-05-17T00:00:55.000Z","description":"Guidelines for conveying coverage requirements to clinicians when planning treatment. (built Fri, May 16, 2025 20:17+0000+00:00)"},{"name":"hl7.fhir.us.davinci-deqm","version":"5.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-deqm","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-deqm-5.0.0.tgz","date":"2025-05-19T18:00:54.000Z"},{"name":"pharmacyeclaims.preview","version":"1.0.1-preview","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/pharmacyeclaims.preview","kind":"fhir.ig","url":"https://packages2.fhir.org/web/pharmacyeclaims.preview-1.0.1-preview.tgz","date":"2025-05-19T20:14:32.000Z","description":"DRAFT FHIR specification for submission of Pharmacy eClaims for adjudication in Canada.   This FHIR standard is created by CPHA, CLHIA and various Canadian stakeholder groups including vendors, Pharmacy associations, Pharmacy Benefit Managers."},{"name":"pharmacyeclaim.two","version":"1.0.2-preview","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/pharmacyeclaim.two","kind":"fhir.ig","url":"https://packages2.fhir.org/web/pharmacyeclaim.two-1.0.2-preview.tgz","date":"2025-05-19T22:23:04.000Z","description":"DRAFT FHIR specification for submission of Pharmacy eClaims for adjudication in Canada.   This FHIR standard is created by CPHA, CLHIA and various Canadian stakeholder groups including vendors, Pharmacy associations, Pharmacy Benefit Managers."},{"name":"hl7se.fhir.base","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.se/fhir/ig/base","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7se.fhir.base-1.1.0.tgz","date":"2025-05-20T18:01:57.000Z","description":"Implementation Guide for Swedish Base Profiles (built Tue, May 20, 2025 13:02+0200+02:00)"},{"name":"ten.fhir","version":"0.7.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ten.fhir","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ten.fhir-0.7.0.tgz","date":"2025-05-22T07:51:11.000Z","description":"该版本包含的内容如下：\r\n1、定义了Patient.gender不能为空。\r\n2、定义了Condition.code强制绑定本地的值域。\r\n3、扩展新增Patient.nation元素，用于表述民族，并要求强制绑定本地的值域。"},{"name":"tencent.project","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/tencent.project","kind":"fhir.ig","url":"https://packages2.fhir.org/web/tencent.project-3.0.0.tgz","date":"2025-05-22T11:20:23.000Z","description":"该版本包含的内容如下： 1、定义了Patient.gender不能为空。 2、定义了Condition.code强制绑定本地的值域。 3、扩展新增Patient.nation元素，用于表述民族，并要求强制绑定本地的值域。\r\n\r\n"},{"name":"new.project20250522","version":"4.0.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/new.project20250522","kind":"fhir.ig","url":"https://packages2.fhir.org/web/new.project20250522-4.0.0.tgz","date":"2025-05-22T11:38:51.000Z","description":"该版本包含的内容如下： 1、定义了Patient.gender不能为空。 2、定义了Condition.code强制绑定本地的值域。 3、扩展新增Patient.nation元素，用于表述民族，并要求强制绑定本地的值域。\r\n\r\n"},{"name":"caseworks.mhaie","version":"0.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/caseworks.mhaie","kind":"fhir.ig","url":"https://packages2.fhir.org/web/caseworks.mhaie-0.0.1.tgz","date":"2025-05-22T22:06:13.000Z","description":"Caseworks MHAIE"},{"name":"ihe.iti.mcsd","version":"4.0.0","fhirVersion":"4.0.1","canonical":"https://profiles.ihe.net/ITI/mCSD","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.iti.mcsd-4.0.0.tgz","date":"2025-05-23T00:02:02.000Z","description":"The IHE Mobile Care Services Discovery (mCSD) IG provides a transaction for mobile and lightweight browser-based applications to find and update care services resources. (built Wed, May 21, 2025 13:38-0500-05:00)"},{"name":"ihe.pharm.mpd","version":"1.0.0-comment-2","fhirVersion":"5.0.0","canonical":"https://profiles.ihe.net/PHARM/MPD","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.pharm.mpd-1.0.0-comment-2.tgz","date":"2025-05-28T02:32:53.000Z","description":"ImplementationGuide for IHE Pharmacy Medication Prescription and Dispense (MPD) profile (built Tue, May 27, 2025 16:32+0200+02:00)"},{"name":"ihe.pharm.mpd.r4","version":"1.0.0-comment-2","fhirVersion":"4.0.1","canonical":"https://profiles.ihe.net/PHARM/MPD","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ihe.pharm.mpd.r4-1.0.0-comment-2.tgz","date":"2025-05-28T18:02:08.000Z","description":"ImplementationGuide for IHE Pharmacy Medication Prescription and Dispense (MPD) profile (built Tue, May 27, 2025 16:32+0200+02:00)"},{"name":"de.nfdi4health.mds","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.nfdi4health.mds","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.nfdi4health.mds-2.1.0.tgz","date":"2025-06-02T11:02:56.000Z","description":"NFDI4Health' Metadata Schema V3.3 for clinical, epidemiological and Public Health studies of the MDS version 3.3.1"},{"name":"asdmc.draft","version":"0.2.1","fhirVersion":"4.0.1","canonical":"http://fhir.ash-mc.health.gov.il/ImplementationGuide/il.fhir.r4.asdmc","kind":"fhir.ig","url":"https://packages2.fhir.org/web/asdmc.draft-0.2.1.tgz","date":"2025-06-03T10:00:43.000Z","description":"draft no2"},{"name":"dvmd.kdl.r4","version":"2025.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/dvmd.kdl.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/dvmd.kdl.r4-2025.0.1.tgz","date":"2025-06-03T12:00:03.000Z","description":"Publikation der Terminologie-Ressourcen für die Nutzung der Klinische Dokumentenklassen-Liste (KDL) des DVMD\r\nVersion 2025\r\n\r\n"},{"name":"hl7.fhir.eu.hdr","version":"0.1.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.eu/fhir/hdr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.eu.hdr-0.1.0-ballot.tgz","date":"2025-06-03T18:02:28.000Z","description":"This implementation guide specifies the Hospital Discharge Report in the European context, as defined in eHN Hospital Discharge Report guidelines. 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Includes dependency on Zib2017.\r\n\r\nHCIMs: https://zibs.nl/wiki/HCIM_Release_2017(EN)"},{"name":"de.gematik.elektronische-versicherungsbescheinigung","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/de.gematik.elektronische-versicherungsbescheinigung","kind":"fhir.ig","url":"https://packages2.fhir.org/web/de.gematik.elektronische-versicherungsbescheinigung-1.0.1.tgz","date":"2025-06-06T06:48:35.000Z","description":"Definition Versichertenstammdaten zum Versand via KIM für GKV VSDM Ersatzbescheinigung und PKV Online Check-In\r\n(INTERMEDIATE PACKAGE für Stichtag 30.09.2025)"},{"name":"hl7.fhir.eu.mpd","version":"0.1.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.eu/fhir/mpd","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.eu.mpd-0.1.0-ballot.tgz","date":"2025-06-06T12:02:37.000Z","description":"This guide describes how to represent in HL7 FHIR Prescription and Dispense in the European context (built Wed, Jun 4, 2025 09:09+0200+02:00)"},{"name":"hl7.fhir.eu.mpd-r5","version":"0.1.0-ballot","fhirVersion":"5.0.0","canonical":"http://hl7.eu/fhir/mpd-r5","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.eu.mpd-r5-0.1.0-ballot.tgz","date":"2025-06-06T12:02:37.000Z","description":"This guide describes how to represent in HL7 FHIR Prescription and Dispense in the European context (built Wed, Jun 4, 2025 20:58+0200+02:00)"},{"name":"vzvz.fhir.nl-vzvz-core-stu3","version":"1.0.1","fhirVersion":"3.0.1","canonical":"http://simplifier.net/packages/vzvz.fhir.nl-vzvz-core-stu3","kind":"fhir.ig","url":"https://packages2.fhir.org/web/vzvz.fhir.nl-vzvz-core-stu3-1.0.1.tgz","date":"2025-06-11T20:00:53.000Z","description":"nl-vzvz-core profiles in FHIR STU3"},{"name":"fi.kanta.gen.r4","version":"0.9.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/fi.kanta.gen.r4","kind":"fhir.ig","url":"https://packages2.fhir.org/web/fi.kanta.gen.r4-0.9.2.tgz","date":"2025-06-12T08:55:15.000Z","description":"Tämä opas sisältää eri Kanta-palveluissa käytettävät yhteiset FHIR- ja REST-rajapintamääärittelyt "},{"name":"smart.who.int.dak-bds","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://smart.who.int/dak-bds","kind":"fhir.ig","url":"https://packages2.fhir.org/web/smart.who.int.dak-bds-1.0.0.tgz","date":"2025-06-14T12:04:37.000Z","description":"SMART Digital Adaptation Kit (DAK) for birth defects surveillance (BDS) (built Fri, Jun 13, 2025 13:35+0000+00:00)"},{"name":"rki.demis.ars","version":"1.0.0-rc.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/rki.demis.ars","kind":"fhir.ig","url":"https://packages2.fhir.org/web/rki.demis.ars-1.0.0-rc.2.tgz","date":"2025-06-15T09:16:52.000Z","description":"Antibiotika-Resistenz-Surveillance (ARS)"},{"name":"gdr.lab","version":"1.3.2","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/gdr.lab","kind":"fhir.ig","url":"https://packages2.fhir.org/web/gdr.lab-1.3.2.tgz","date":"2025-06-16T15:34:47.000Z","description":"Gestione digitale rete di laboratori"},{"name":"ca.on.oh-setp","version":"1.0.40","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ca.on.oh-setp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.on.oh-setp-1.0.40.tgz","date":"2025-06-17T17:06:42.000Z","description":"The purpose of SETP is to improve surgical performance in Ontario through the measurement and report"},{"name":"hl7.fhir.us.davinci-pdex","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pdex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pdex-2.1.0.tgz","date":"2025-06-18T12:57:14.000Z","description":"This specification has undergone ballot and connectathon testing. It is expected to continue to evolve, possibly significantly, as part of that process.\nFeedback is welcome and may be submitted through the FHIR JIRA tracker indicating US Da Vinci PDex as the specification.  If balloting on this IG, please submit your comments via the tracker and reference them in your ballot submission implementation guide.\n\nThis guide can be reviewed offline. Go to the Downloads section. Click on the link to download the full Implementation Guide as a zip file. Expand the zip file and use a web browser to launch the index.html file in the directory created by the zip extract process. External hyperlinks in the guide will not be available unless you have an active internet connection. \n\n[Financial Management](https://confluence.hl7.org/display/FM/Financial+Management+Home) is the Sponsoring Work Group for this Implementation Guide.\n\n**The Payer Data Exchange (PDex) Implementation Guide (IG) is provided for Payers/Health Plans to enable them to create a Member's Health History using clinical resources (based on US Core 3.1.1 and 6.1.0 Profiles based on FHIR R4) which can be understood by providers and, if they choose to, committed to their Electronic Medical Records (EMR) System.**\n\nThe PDex work group has made changes to the original version of the IG following the publication of the final CMS Interoperability and Patient Access Rule (CMS-9115_ and in STU 2.1 the IG has been expanded to meet the requirements of the CMS Prior Authorization Rule (CMS-0057).\n\nThis IG uses the same Member Health History \"payload\" for member-authorized exchange of information with other Health Plans, with Providers and with Third-Party Applications. It describes the interaction patterns that, when followed, allow the various parties involved in managing healthcare and payer data to more easily integrate and exchange data securely and effectively.\n\nThis IG covers the exchange of:\n- Claims-based information (without financials)\n- Clinical Information (such as Lab Results, Allergies and Conditions)\n- Prior Authorization information\n\nThis IG covers the exchange of this information using US Core and Da Vinci Health Record Exchange (HRex) Profiles. This superset of clinical profiles forms the Health Plan Member's Health History. \n\nThis IG covers the exchange of a Member's Health History in the following scenarios:\n- Provider requested exchange using SMART-on-FHIR Bulk exchange\n- Health Plan Exchange using SMART-on-FHIR\n- Member-authorized Health Plan to Health Plan exchange\n- Member-authorized Health Plan to Third-Party Application exchange\n\nThe latter two scenarios are provided to meet the requirements identified in the CMS Interoperability and Patient Access Final Rule.\n\n**There are items in this guide that are subject to update**. This includes:\n- Value Sets\n- Vocabularies (X12, NUBC etc.)\n- Examples\n\n**The Vocabulary, Value Sets and codings used to express data in this IG are subject to review and will be reconciled with**  [X12](http://www.x12.org).\n\nSee the [Table of Contents](toc.html) for more information.\n (built Wed, Jun 18, 2025 00:57+0000+00:00)"},{"name":"ths-greifswald.ttp-fhir-gw","version":"2025.1.0-final","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ths-greifswald.ttp-fhir-gw","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ths-greifswald.ttp-fhir-gw-2025.1.0-final.tgz","date":"2025-06-19T07:59:03.000Z","description":"Finalisierung v2025.1.0 inkl mii kds consent 2025.0.4"},{"name":"ee.fhir.terminology","version":"1.0.0","fhirVersion":"5.0.0","canonical":"https://fhir.ee","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ee.fhir.terminology-1.0.0.tgz","date":"2025-06-19T12:02:11.000Z","description":"Terminoloogia mis on kasutusel juurutusjuhendites (built 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There is a dependency on the corresponding zib profiles. 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(built Tue, Jul 8, 2025 07:43+0000+00:00)"},{"name":"hl7.fhir.uv.cql","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/cql","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cql-2.0.0.tgz","date":"2025-07-09T00:00:54.000Z","description":"This implementation guide defines profiles, operations and guidance for the use of CQL with FHIR, both as a mechanism for querying, as well as inline and integrated usage as part of knowledge artifacts. 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(built Tue, Jul 8, 2025 23:21+0200+02:00)"},{"name":"cezih.hr.cezih-osnova","version":"0.2.9","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/cezih.hr.cezih-osnova","kind":"fhir.ig","url":"https://packages2.fhir.org/web/cezih.hr.cezih-osnova-0.2.9.tgz","date":"2025-07-09T13:18:04.000Z","description":"Ovaj vodič za implementaciju sadržava specifikaciju osnovnih elemenata (resursa, poruka, dokumenata, proširenja) i terminologija (kodnih sistema, skupova koncepata i mapa koncepata) koje se koriste u svim vodičima za implementaciju CEZIH sustava."},{"name":"cezih.hr.encounter-management","version":"0.2.3","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/cezih.hr.encounter-management","kind":"fhir.ig","url":"https://packages2.fhir.org/web/cezih.hr.encounter-management-0.2.3.tgz","date":"2025-07-09T13:52:28.000Z","description":"Ovaj vodič za implementaciju integracijskog sučelja opisuje funkcionalnosti usluge za upravljanje posjetama."},{"name":"ca.healthpei.io.core","version":"0.1.7-DFT","fhirVersion":"4.0.1","canonical":"http://simplifier.net/packages/ca.healthpei.io.core","kind":"fhir.ig","url":"https://packages2.fhir.org/web/ca.healthpei.io.core-0.1.7-DFT.tgz","date":"2025-07-09T14:39:59.000Z","description":"Government of Prince Edward Island - Core FHIR resources for the Clinical Data Repository. This repository consists of core profiles to be adopted by PEI FHIR IGs. "},{"name":"hl7.fhir.us.nhsn-dqm","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/nhsn-dqm","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.nhsn-dqm-1.0.0.tgz","date":"2025-07-10T00:00:52.000Z","description":"This content describes the specifications for the for the Health Level Seven International® (HL7) Fast Healthcare Interoperability Resources® (FHIR) digital quality measures (dQMs) reported to the National Healthcare Safety Network (NHSN). (built Wed, Jul 9, 2025 20:38+0000+00:00)"},{"name":"hl7.fhir.uv.patient-corrections","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/patient-corrections","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.patient-corrections-1.0.0.tgz","date":"2025-07-10T18:00:54.000Z","description":"The Patient Request for Corrections Implementation Guide provides a method for communicating a patient's request for corrections to their patient data, as well as a way for health care organizations to respond to those requests. 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When sending between LIS and EHR systems, implementors may choose to use transport and processing modalities, such as FHIR bundles. This publication provides the data model, defined data items and their corresponding code and value sets specific to a cancer pathology synoptic report. This guide contains a library of FHIR profiles to create a cancer pathology bundle and is compliant with FHIR Release 4. (built Fri, Oct 3, 2025 14:20+0000+00:00)"},{"name":"hl7.fhir.us.cancer-reporting.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/cancer-reporting","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.cancer-reporting.r4b-2.0.0.tgz","date":"2025-10-29T00:01:39.000Z","description":"This implementation guide (IG) provides Health Level Seven (HL7 FHIR) resources to define standards for cancer pathology information exchange from a hospital or facility-based laboratory information system (LIS) to a hospital or facility-based electronic health record (EHR) system or to a central cancer registry. When sending between LIS and EHR systems, implementors may choose to use transport and processing modalities, such as FHIR bundles. This publication provides the data model, defined data items and their corresponding code and value sets specific to a cancer pathology synoptic report. This guide contains a library of FHIR profiles to create a cancer pathology bundle and is compliant with FHIR Release 4. (built Fri, Oct 3, 2025 14:20+0000+00:00)"},{"name":"hl7.fhir.us.carin-bb.r4","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/carin-bb","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.carin-bb.r4-2.1.0.tgz","date":"2025-10-29T00:01:45.000Z","description":"CARIN Consumer Directed Payer Data Exchange (CARIN IG for Blue Button®) (built Tue, Feb 18, 2025 18:08+0000+00:00)"},{"name":"hl7.fhir.us.carin-bb.r4b","version":"2.1.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/carin-bb","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.carin-bb.r4b-2.1.0.tgz","date":"2025-10-29T00:01:53.000Z","description":"CARIN Consumer Directed Payer Data Exchange (CARIN IG for Blue Button®) (built Tue, Feb 18, 2025 18:08+0000+00:00)"},{"name":"hl7.fhir.us.ccda.r4","version":"2.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/ccda","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ccda.r4-2.0.0-ballot.tgz","date":"2025-10-29T00:02:03.000Z","description":"Consolidated CDA (C-CDA) is one of the most widely implemented implementation guides for CDA and covers a significant scope of clinical care. 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To have a simpler, more streamlined standard that reuses existing work and focuses on the 80% that implementers actually need in production systems, the resources of US Core represents a portion of the 80% needed for coded entries for coded entries of CCD, Care Plan & Discharge Summary).\n\nThe Composition profiles in this IG do not require coded data in any section. This is a departure from C-CDA, which requires coded data for Problems, Results, Medications, etc. This departure is intentional, as the C-CDA requirement for one or more coded entries in these sections resulted in some very complicated workarounds using nullFlavors to handle the fact that sometimes a patient is not on any medications, or has no current problems. 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The IG is a companion to the Coverage Requirements Discovery (CRD) IG, which uses CDS Hooks to query payers to determine if there are documentation requirements for a proposed medication, procedure or other service. (built Mon, Aug 4, 2025 15:40+0000+00:00)"},{"name":"hl7.fhir.us.davinci-dtr.r4b","version":"2.2.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-dtr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-dtr.r4b-2.2.0-ballot.tgz","date":"2025-10-29T00:06:31.000Z","description":"The Documentation Templates and Rules (DTR) Implementation Guide (IG) specifies how payer rules can be executed in a provider context to ensure that documentation requirements are met. The IG is a companion to the Coverage Requirements Discovery (CRD) IG, which uses CDS Hooks to query payers to determine if there are documentation requirements for a proposed medication, procedure or other service. (built Mon, Aug 4, 2025 15:40+0000+00:00)"},{"name":"hl7.fhir.us.davinci-hrex.r4","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-hrex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-hrex.r4-1.1.0.tgz","date":"2025-10-29T00:06:42.000Z","description":"The Da Vinci Payer Health Record exchange (HRex) Framework/library specifies the FHIR elements used in multiple Da Vinci implementation guides. This includes FHIR profiles, functions, operations, and constraints on other specifications such as CDS-Hooks and other aspects of Da Vinci Use Cases that are common across more than a single use case.\\n\\nDa Vinci HRex Implementation Guide (IG) will make use of US Core profiles that are based on the FHIR R4 specification wherever practical. 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(built Wed, Jul 30, 2025 00:50+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pct.r4","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pct","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pct.r4-2.0.0.tgz","date":"2025-10-29T00:07:18.000Z","description":"To support the request for cost information for specific items and services from the payer and return them in near real-time to allow effective decision making by the patient in consultation with the 'ordering' provider. (built Wed, Oct 8, 2025 20:40+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pct.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-pct","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pct.r4b-2.0.0.tgz","date":"2025-10-29T00:07:26.000Z","description":"To support the request for cost information for specific items and services from the payer and return them in near real-time to allow effective decision making by the patient in consultation with the 'ordering' provider. (built Wed, Oct 8, 2025 20:40+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pdex-plan-net.r4","version":"1.2.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pdex-plan-net","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pdex-plan-net.r4-1.2.0.tgz","date":"2025-10-29T00:07:29.000Z","description":"Da Vinci PDex Plan Net (built Tue, Feb 25, 2025 20:09+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pdex-plan-net.r4b","version":"1.2.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-pdex-plan-net","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pdex-plan-net.r4b-1.2.0.tgz","date":"2025-10-29T00:07:31.000Z","description":"Da Vinci PDex Plan Net (built Tue, Feb 25, 2025 20:09+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pdex.r4","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pdex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pdex.r4-2.1.0.tgz","date":"2025-10-29T00:07:38.000Z","description":"This specification has undergone ballot and connectathon testing. It is expected to continue to evolve, possibly significantly, as part of that process.\nFeedback is welcome and may be submitted through the FHIR JIRA tracker indicating US Da Vinci PDex as the specification.  If balloting on this IG, please submit your comments via the tracker and reference them in your ballot submission implementation guide.\n\nThis guide can be reviewed offline. Go to the Downloads section. Click on the link to download the full Implementation Guide as a zip file. Expand the zip file and use a web browser to launch the index.html file in the directory created by the zip extract process. External hyperlinks in the guide will not be available unless you have an active internet connection. \n\n[Financial Management](https://confluence.hl7.org/display/FM/Financial+Management+Home) is the Sponsoring Work Group for this Implementation Guide.\n\n**The Payer Data Exchange (PDex) Implementation Guide (IG) is provided for Payers/Health Plans to enable them to create a Member's Health History using clinical resources (based on US Core 3.1.1 and 6.1.0 Profiles based on FHIR R4) which can be understood by providers and, if they choose to, committed to their Electronic Medical Records (EMR) System.**\n\nThe PDex work group has made changes to the original version of the IG following the publication of the final CMS Interoperability and Patient Access Rule (CMS-9115_ and in STU 2.1 the IG has been expanded to meet the requirements of the CMS Prior Authorization Rule (CMS-0057).\n\nThis IG uses the same Member Health History \"payload\" for member-authorized exchange of information with other Health Plans, with Providers and with Third-Party Applications. It describes the interaction patterns that, when followed, allow the various parties involved in managing healthcare and payer data to more easily integrate and exchange data securely and effectively.\n\nThis IG covers the exchange of:\n- Claims-based information (without financials)\n- Clinical Information (such as Lab Results, Allergies and Conditions)\n- Prior Authorization information\n\nThis IG covers the exchange of this information using US Core and Da Vinci Health Record Exchange (HRex) Profiles. This superset of clinical profiles forms the Health Plan Member's Health History. \n\nThis IG covers the exchange of a Member's Health History in the following scenarios:\n- Provider requested exchange using SMART-on-FHIR Bulk exchange\n- Health Plan Exchange using SMART-on-FHIR\n- Member-authorized Health Plan to Health Plan exchange\n- Member-authorized Health Plan to Third-Party Application exchange\n\nThe latter two scenarios are provided to meet the requirements identified in the CMS Interoperability and Patient Access Final Rule.\n\n**There are items in this guide that are subject to update**. This includes:\n- Value Sets\n- Vocabularies (X12, NUBC etc.)\n- Examples\n\n**The Vocabulary, Value Sets and codings used to express data in this IG are subject to review and will be reconciled with**  [X12](http://www.x12.org).\n\nSee the [Table of Contents](toc.html) for more information.\n (built Wed, Jun 18, 2025 03:12+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pdex.r4b","version":"2.1.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-pdex","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pdex.r4b-2.1.0.tgz","date":"2025-10-29T00:07:53.000Z","description":"This specification has undergone ballot and connectathon testing. It is expected to continue to evolve, possibly significantly, as part of that process.\nFeedback is welcome and may be submitted through the FHIR JIRA tracker indicating US Da Vinci PDex as the specification.  If balloting on this IG, please submit your comments via the tracker and reference them in your ballot submission implementation guide.\n\nThis guide can be reviewed offline. Go to the Downloads section. Click on the link to download the full Implementation Guide as a zip file. Expand the zip file and use a web browser to launch the index.html file in the directory created by the zip extract process. External hyperlinks in the guide will not be available unless you have an active internet connection. \n\n[Financial Management](https://confluence.hl7.org/display/FM/Financial+Management+Home) is the Sponsoring Work Group for this Implementation Guide.\n\n**The Payer Data Exchange (PDex) Implementation Guide (IG) is provided for Payers/Health Plans to enable them to create a Member's Health History using clinical resources (based on US Core 3.1.1 and 6.1.0 Profiles based on FHIR R4) which can be understood by providers and, if they choose to, committed to their Electronic Medical Records (EMR) System.**\n\nThe PDex work group has made changes to the original version of the IG following the publication of the final CMS Interoperability and Patient Access Rule (CMS-9115_ and in STU 2.1 the IG has been expanded to meet the requirements of the CMS Prior Authorization Rule (CMS-0057).\n\nThis IG uses the same Member Health History \"payload\" for member-authorized exchange of information with other Health Plans, with Providers and with Third-Party Applications. It describes the interaction patterns that, when followed, allow the various parties involved in managing healthcare and payer data to more easily integrate and exchange data securely and effectively.\n\nThis IG covers the exchange of:\n- Claims-based information (without financials)\n- Clinical Information (such as Lab Results, Allergies and Conditions)\n- Prior Authorization information\n\nThis IG covers the exchange of this information using US Core and Da Vinci Health Record Exchange (HRex) Profiles. This superset of clinical profiles forms the Health Plan Member's Health History. \n\nThis IG covers the exchange of a Member's Health History in the following scenarios:\n- Provider requested exchange using SMART-on-FHIR Bulk exchange\n- Health Plan Exchange using SMART-on-FHIR\n- Member-authorized Health Plan to Health Plan exchange\n- Member-authorized Health Plan to Third-Party Application exchange\n\nThe latter two scenarios are provided to meet the requirements identified in the CMS Interoperability and Patient Access Final Rule.\n\n**There are items in this guide that are subject to update**. This includes:\n- Value Sets\n- Vocabularies (X12, NUBC etc.)\n- Examples\n\n**The Vocabulary, Value Sets and codings used to express data in this IG are subject to review and will be reconciled with**  [X12](http://www.x12.org).\n\nSee the [Table of Contents](toc.html) for more information.\n (built Wed, Jun 18, 2025 03:12+0000+00:00)"},{"name":"hl7.fhir.us.davinci-pr.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-pr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pr.r4-1.0.0.tgz","date":"2025-10-29T00:07:58.000Z"},{"name":"hl7.fhir.us.davinci-pr.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-pr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-pr.r4b-1.0.0.tgz","date":"2025-10-29T00:08:03.000Z"},{"name":"hl7.fhir.us.davinci-ra.r4","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-ra","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-ra.r4-2.1.0.tgz","date":"2025-10-29T00:08:08.000Z","description":"The Da Vinci Fast Healthcare Interoperability Resource (FHIR) Risk Adjustment Implementation Guide (this IG) describes exchange of risk-based coding gaps among stakeholders such as payers, providers, and government care programs in support of driving towards accurate and complete documentation of health conditions that would lead to more accurate risk-adjustment payment calculations. (built Wed, Jul 2, 2025 02:58+0000+00:00)"},{"name":"hl7.fhir.us.davinci-ra.r4b","version":"2.1.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-ra","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-ra.r4b-2.1.0.tgz","date":"2025-10-29T00:08:18.000Z","description":"The Da Vinci Fast Healthcare Interoperability Resource (FHIR) Risk Adjustment Implementation Guide (this IG) describes exchange of risk-based coding gaps among stakeholders such as payers, providers, and government care programs in support of driving towards accurate and complete documentation of health conditions that would lead to more accurate risk-adjustment payment calculations. (built Wed, Jul 2, 2025 02:58+0000+00:00)"},{"name":"hl7.fhir.us.davinci-vbpr.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/davinci-vbpr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-vbpr.r4-1.0.0.tgz","date":"2025-10-29T00:08:23.000Z","description":"The Da Vinci Fast Healthcare Interoperability Resource (FHIR) Value-Based Performance Reporting Implementation Guide (this IG) specifies standard representations of value-based performance reports that are exchanged payers and providers, which include performance metrics on financial, utilization, etc. and quality measures for varies types of value-based contracts. (built Mon, Jun 17, 2024 14:00+0000+00:00)"},{"name":"hl7.fhir.us.davinci-vbpr.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/davinci-vbpr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.davinci-vbpr.r4b-1.0.0.tgz","date":"2025-10-29T00:08:27.000Z","description":"The Da Vinci Fast Healthcare Interoperability Resource (FHIR) Value-Based Performance Reporting Implementation Guide (this IG) specifies standard representations of value-based performance reports that are exchanged payers and providers, which include performance metrics on financial, utilization, etc. and quality measures for varies types of value-based contracts. (built Mon, Jun 17, 2024 14:00+0000+00:00)"},{"name":"hl7.fhir.us.ecr.r4","version":"2.1.2","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/ecr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ecr.r4-2.1.2.tgz","date":"2025-10-29T00:08:37.000Z","description":"# Introduction and Purpose\n\nWith the adoption and maturing of Electronic Health Records (EHRs) there are opportunities to better support public health surveillance as well as to better support the delivery of relevant public health information to clinical care. Electronic Case Reporting (eCR) can provide more complete and timely case data, support disease / condition monitoring, and assist in outbreak management and control. It can also improve bidirectional communications through the delivery of public health information in the context of a patient's condition and local disease trends and by facilitating ad hoc communications. eCR will also reduce healthcare provider burden by automating the completion of legal reporting requirements.\n\nWith the advent of FHIR standards, there is a need for FHIR implementation guidance to specify appropriate resources and transactions needed for the eCR process. FHIR offers opportunities to further enable automated triggering and reporting of cases from EHRs, to ease implementation and integration, to support the acquisition of public health investigation supplemental data, and to connect public health information (e.g., guidelines) with clinical workflows. Over time, FHIR may also support the distribution of reporting rules to clinical care to better align data authorities and make broader clinical data available to public health decision support services inside the clinical care environment.\n\nFor more supporting information, use cases, and other background context and material, see Volume 1 of both the [HL7 CDA R2 Electronic Initial Case Report (eICR) Standard for Trial Use (STU) IG](http://www.hl7.org/implement/standards/product_brief.cfm?product_id=436) (see the link under \"STU Documents\" for STU 2.0) and the [HL7 CDA R2 Reportability Response (RR) STU IG](https://www.hl7.org/implement/standards/product_brief.cfm?product_id=470).\n\nFor Clinical Safety Information please refer to the [FHIR Implementer’s Safety Checklist](http://hl7.org/fhir/safety.html).\n\n<div style=\"background-color: #ffffcc; border-left: 6px solid #ffeb3b;\">\n  <p><b>Known Issue:</b></p>\n  <p>The following issue is related to a publication tooling issue. A technical correction is planned once the tooling issue has been addressed.</p>\n  <ul>\n    <li><a href=\"https://jira.hl7.org/browse/FHIR-30477\" rel=\"external\" target=\"_blank\">FHIR-30477</a>: Resolution errors for FHIRHelpers and FHIR-ModelInfo.</li>\n  </ul>\n</div>\n\n# Stakeholders\n* Regulatory Agencies\n* Standards Development Organizations\n* Vendors: EHR, PHR; Health Care IT; Clinical Decision Support Systems, Public Health Surveillance Systems\n* Providers: Ambulatory and Healthcare Institutions (hospitals, long term care, mental health)\n* Local, State, Tribal and Federal Public Health Agencies (built Wed, Oct 30, 2024 20:32+0000+00:00)"},{"name":"hl7.fhir.us.ecr.r4b","version":"2.1.2","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/ecr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ecr.r4b-2.1.2.tgz","date":"2025-10-29T00:08:42.000Z","description":"# Introduction and Purpose\n\nWith the adoption and maturing of Electronic Health Records (EHRs) there are opportunities to better support public health surveillance as well as to better support the delivery of relevant public health information to clinical care. Electronic Case Reporting (eCR) can provide more complete and timely case data, support disease / condition monitoring, and assist in outbreak management and control. It can also improve bidirectional communications through the delivery of public health information in the context of a patient's condition and local disease trends and by facilitating ad hoc communications. eCR will also reduce healthcare provider burden by automating the completion of legal reporting requirements.\n\nWith the advent of FHIR standards, there is a need for FHIR implementation guidance to specify appropriate resources and transactions needed for the eCR process. FHIR offers opportunities to further enable automated triggering and reporting of cases from EHRs, to ease implementation and integration, to support the acquisition of public health investigation supplemental data, and to connect public health information (e.g., guidelines) with clinical workflows. Over time, FHIR may also support the distribution of reporting rules to clinical care to better align data authorities and make broader clinical data available to public health decision support services inside the clinical care environment.\n\nFor more supporting information, use cases, and other background context and material, see Volume 1 of both the [HL7 CDA R2 Electronic Initial Case Report (eICR) Standard for Trial Use (STU) IG](http://www.hl7.org/implement/standards/product_brief.cfm?product_id=436) (see the link under \"STU Documents\" for STU 2.0) and the [HL7 CDA R2 Reportability Response (RR) STU IG](https://www.hl7.org/implement/standards/product_brief.cfm?product_id=470).\n\nFor Clinical Safety Information please refer to the [FHIR Implementer’s Safety Checklist](http://hl7.org/fhir/safety.html).\n\n<div style=\"background-color: #ffffcc; border-left: 6px solid #ffeb3b;\">\n  <p><b>Known Issue:</b></p>\n  <p>The following issue is related to a publication tooling issue. A technical correction is planned once the tooling issue has been addressed.</p>\n  <ul>\n    <li><a href=\"https://jira.hl7.org/browse/FHIR-30477\" rel=\"external\" target=\"_blank\">FHIR-30477</a>: Resolution errors for FHIRHelpers and FHIR-ModelInfo.</li>\n  </ul>\n</div>\n\n# Stakeholders\n* Regulatory Agencies\n* Standards Development Organizations\n* Vendors: EHR, PHR; Health Care IT; Clinical Decision Support Systems, Public Health Surveillance Systems\n* Providers: Ambulatory and Healthcare Institutions (hospitals, long term care, mental health)\n* Local, State, Tribal and Federal Public Health Agencies (built Wed, Oct 30, 2024 20:32+0000+00:00)"},{"name":"hl7.fhir.us.eltss.r4","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/eltss","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.eltss.r4-2.0.0.tgz","date":"2025-10-29T00:08:47.000Z","description":"Provides guidance to US Realm implementers to use the FHIR for implementing access and exchange Electronic Long-Term Services and Supports (eLTSS) Dataset data  elements (built Mon, May 27, 2024 02:49+0000+00:00)"},{"name":"hl7.fhir.us.eltss.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/eltss","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.eltss.r4b-2.0.0.tgz","date":"2025-10-29T00:08:52.000Z","description":"Provides guidance to US Realm implementers to use the FHIR for implementing access and exchange Electronic Long-Term Services and Supports (eLTSS) Dataset data  elements (built Mon, May 27, 2024 02:49+0000+00:00)"},{"name":"hl7.fhir.us.hai-ltcf.r4","version":"1.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/hai-ltcf","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.hai-ltcf.r4-1.1.0.tgz","date":"2025-10-29T00:08:57.000Z","description":"This implementation guide (IG) specifies standards for electronic submission of Healthcare Associated Infection (HAI) Long Term Care Facilities (LTCF) reports to the National Healthcare Safety Network (NHSN) of the Centers for Disease Control and Prevention (CDC). This IG contains a library of FHIR profiles for electronic submission of HAI LTCF reports to the NHSN.\n\nAs reports are modified and new report types are defined, CDC and Health Level Seven (HL7) will develop and publish additional constraints.\n\nThroughout this process, CDC remains the authority on NHSN data collection protocols. When healthcare enterprises choose to participate in NHSN, they must report to CDC reportable events such as identified MDRO (multidrug-resistant organism) or CDI (C. difficile infection) occurrences such as specific reportable procedures, even those without complications, and events such as a bloodstream infection, either confirmed by a positive blood culture or supported by a patients clinical symptoms. This specification opens the channel for data submission by all applications compliant with the data coding requirements defined here.\n\nNote that participation in the NHSN requires enrollment and filing of reporting plans, which are not defined by this specification. For an overview of NHSN and full information on NHSN participation requirements, see: [http://www.cdc.gov/nhsn](http://www.cdc.gov/nhsn). Provisions of the Public Health Service Act protect all data reported to NHSN from discovery through the Freedom of Information Act (FOIA).\n\n\n### Relationship to Another Standard\n\nHL7 has developed this FHIR implementation guide in parallel with the CDA implementation guide. We anticipate several STU releases on the path to a Normative Release 1 of the HL7 implementation guides for CDA and FHIR for Healthcare Associated Infection (HAI) Reports from Long Term Care Facilities (LTCF). The FHIR and CDA implementation guides will align. A change to one standard will require the same change in the other standard. \n\nIn this release, the new forms included in both the CDA and FHIR standards are:\n* **NHSN HAI LTCF Population Summary Report**: MDRO and CDI LabID Event Reporting Monthly Summary Data for LTCF\n* **NHSN HAI LTCF Single-Person Event Report**: Laboratory-identified MDRO or CDI Event for LTCF\n\nFor further details see the [NHSN website](https://www.cdc.gov/nhsn/) for reporting healthcare-associated infections in long-term care facilities.\n\n\n### Audience\n\nThe audience for this work is all developers of software systems who want to enable their systems for reporting HAI data to the NHSN.\n\n### Change Notification Process\n\nCDC maintains an e-mail list of contacts at organizations interested in or responsible for implementations of FHIR for LTCF HAI reporting to NHSN. To be added to the list, send a request with your contact information to nhsncda@cdc.gov. CDC uses the list for e-mail notifications of changes, including new data requirements. Changes may apply to this IG and to other documents such as business rules that are needed to implement and support FHIR for LTCF HAI reporting to NHSN. NHSN CDA related information may be found at https://www.cdc.gov/nhsn/cdaportal/index.html.  \n\n### Acknowledgements\n\nThis implementation guide was produced and developed by Lantana Consulting Group in conjunction with the Division of Healthcare Quality Promotion in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) at the Centers for Disease Control and Prevention (CDC). Its development and deployment are results of the dedication of the team—led by Daniel A. Pollock, M.D., Surveillance Branch Chief, Division of Healthcare Quality Promotion, NCEZID, CDC and  Jeneita Bell, MD, MPH, Long-term Care Team Lead, DHQP, NCEZID, CDC—and their support of the development of interoperable data standards for the CDC’s National Healthcare Safety Network (NHSN).  \n\nSpecial thanks and acknowledgment to stakeholders who participated in calls and provided feedback. Specifically, we would like to thank  Cindy Frakes, Steve Herron, Jamie Gatzke, Kelly Luden, Prasath Govindarajulu from Cerner;  Laura Ditz, Nancy Chi, Nichole (Nicki) Fetterman, Michael Furman, Patti Barton, Aga Lee from Point Click Care; Donna Doneski from NASL; and  Denise Wassenaar, Doc DeVore, Rob Price from Matrix  Care. \n\nThe best standards are those driven by business requirements. A strong set of Healthcare Associated Infection (HAI) surveillance application vendors monitor, evaluate, and test each release of this guide.  \n\n\n|-----|-----|-----|-----| \n\n|Primary Editor:|Sarah Gaunt|Lantana Consulting Group|sarah.gaunt@lantanagroup.com| \n|Primary Editor:|Zabrina Gonzaga|Lantana Consulting Group|zabrina.gonzaga@lantanagroup.com| \n|Primary Editor:|Dave deRoode|Lantana Consulting Group|david.deroode@lantanagroup.com| \n|Co-Editor:|Jeneita Bell, MD, MPH|CDC|hpq8@cdc.gov| \n|Co-Editor:|Angella Antilla PhD, MSN|CDC|vtb9@cdc.gov| \n|Co-Editor:|Daniel Pollock, M.D.|CDC|DPollock@cdc.gov| \n|Co-Editor:|Ahmed Tahir|Leidos Consultant to CDC/NHSN|nmn8@cdc.gov| \n|Co-Editor:|Mindy Durrance|Leidos Consultant to CDC/NHSN|mdq1@cdc.gov| \n|Co-Editor:|Sheri Chernetsky Tejedor, MD|CDC|yei9@cdc.gov| \n|Co-Editor:|Sheila Abner|CDC|sha8@cdc.gov| \n|Co-Chair:|Erin Holt MPH|Tennessee Department of Health|erin.holt@tn.gov| \n|Co-Chair:|Laura Rappleye|Altarum|laura.rappleye@altarum.org| \n|Co-Chair:|Craig Newman|Altarum|craig.newman@altarum.org| \n|Co-Chair:|Danny Wise|Allscripts|danny.wise@allscripts.com| \n|Co-Chair:|Joginder Madra|Madra Consulting Inc.|hl7@madraconsulting.com| \n|Co-Chair:|Gaye Dolin M.S.N., R.N. |Intelligent Medical Objects |gdolin@imo-online.com| \n|Co-Chair:|Calvin Beebe|Mayo Clinic|cbeebe@mayo.edu| \n|Co-Chair:|Austin Kreisler|Leidos Consultant to CDC/NHSN|duz1@cdc.gov| \n|Co-Chair:|Andrew Statler|Cerner Corp|andrew.statler@cerner.com| \n|Co-Chair:|Sean McIlvenna| Lantana Consulting Group|sean.mcilvenna@lantanagroup.com| \n|Co-Chair:|Benjamin Flessner|Redox|benjamin@redoxengine.com| \n|Co-Editor:|Beau Bannerman|Lantana Consulting Group|beau.bannerman@lantanagroup.com| \n|Technical Editor:|Diana Wright|Lantana Consulting Group|diana.wright@lantanagroup.com| \n|Technical Editor:|Chris Hannigan|Lantana Consulting Group|chris.hannigan@lantanagroup.com| \n (built Wed, Apr 19, 2023 15:05+0000+00:00)"},{"name":"hl7.fhir.us.hai-ltcf.r4b","version":"1.1.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/hai-ltcf","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.hai-ltcf.r4b-1.1.0.tgz","date":"2025-10-29T00:09:01.000Z","description":"This implementation guide (IG) specifies standards for electronic submission of Healthcare Associated Infection (HAI) Long Term Care Facilities (LTCF) reports to the National Healthcare Safety Network (NHSN) of the Centers for Disease Control and Prevention (CDC). This IG contains a library of FHIR profiles for electronic submission of HAI LTCF reports to the NHSN.\n\nAs reports are modified and new report types are defined, CDC and Health Level Seven (HL7) will develop and publish additional constraints.\n\nThroughout this process, CDC remains the authority on NHSN data collection protocols. When healthcare enterprises choose to participate in NHSN, they must report to CDC reportable events such as identified MDRO (multidrug-resistant organism) or CDI (C. difficile infection) occurrences such as specific reportable procedures, even those without complications, and events such as a bloodstream infection, either confirmed by a positive blood culture or supported by a patients clinical symptoms. This specification opens the channel for data submission by all applications compliant with the data coding requirements defined here.\n\nNote that participation in the NHSN requires enrollment and filing of reporting plans, which are not defined by this specification. For an overview of NHSN and full information on NHSN participation requirements, see: [http://www.cdc.gov/nhsn](http://www.cdc.gov/nhsn). Provisions of the Public Health Service Act protect all data reported to NHSN from discovery through the Freedom of Information Act (FOIA).\n\n\n### Relationship to Another Standard\n\nHL7 has developed this FHIR implementation guide in parallel with the CDA implementation guide. We anticipate several STU releases on the path to a Normative Release 1 of the HL7 implementation guides for CDA and FHIR for Healthcare Associated Infection (HAI) Reports from Long Term Care Facilities (LTCF). The FHIR and CDA implementation guides will align. A change to one standard will require the same change in the other standard. \n\nIn this release, the new forms included in both the CDA and FHIR standards are:\n* **NHSN HAI LTCF Population Summary Report**: MDRO and CDI LabID Event Reporting Monthly Summary Data for LTCF\n* **NHSN HAI LTCF Single-Person Event Report**: Laboratory-identified MDRO or CDI Event for LTCF\n\nFor further details see the [NHSN website](https://www.cdc.gov/nhsn/) for reporting healthcare-associated infections in long-term care facilities.\n\n\n### Audience\n\nThe audience for this work is all developers of software systems who want to enable their systems for reporting HAI data to the NHSN.\n\n### Change Notification Process\n\nCDC maintains an e-mail list of contacts at organizations interested in or responsible for implementations of FHIR for LTCF HAI reporting to NHSN. To be added to the list, send a request with your contact information to nhsncda@cdc.gov. CDC uses the list for e-mail notifications of changes, including new data requirements. Changes may apply to this IG and to other documents such as business rules that are needed to implement and support FHIR for LTCF HAI reporting to NHSN. NHSN CDA related information may be found at https://www.cdc.gov/nhsn/cdaportal/index.html.  \n\n### Acknowledgements\n\nThis implementation guide was produced and developed by Lantana Consulting Group in conjunction with the Division of Healthcare Quality Promotion in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID) at the Centers for Disease Control and Prevention (CDC). Its development and deployment are results of the dedication of the team—led by Daniel A. Pollock, M.D., Surveillance Branch Chief, Division of Healthcare Quality Promotion, NCEZID, CDC and  Jeneita Bell, MD, MPH, Long-term Care Team Lead, DHQP, NCEZID, CDC—and their support of the development of interoperable data standards for the CDC’s National Healthcare Safety Network (NHSN).  \n\nSpecial thanks and acknowledgment to stakeholders who participated in calls and provided feedback. Specifically, we would like to thank  Cindy Frakes, Steve Herron, Jamie Gatzke, Kelly Luden, Prasath Govindarajulu from Cerner;  Laura Ditz, Nancy Chi, Nichole (Nicki) Fetterman, Michael Furman, Patti Barton, Aga Lee from Point Click Care; Donna Doneski from NASL; and  Denise Wassenaar, Doc DeVore, Rob Price from Matrix  Care. \n\nThe best standards are those driven by business requirements. A strong set of Healthcare Associated Infection (HAI) surveillance application vendors monitor, evaluate, and test each release of this guide.  \n\n\n|-----|-----|-----|-----| \n\n|Primary Editor:|Sarah Gaunt|Lantana Consulting Group|sarah.gaunt@lantanagroup.com| \n|Primary Editor:|Zabrina Gonzaga|Lantana Consulting Group|zabrina.gonzaga@lantanagroup.com| \n|Primary Editor:|Dave deRoode|Lantana Consulting Group|david.deroode@lantanagroup.com| \n|Co-Editor:|Jeneita Bell, MD, MPH|CDC|hpq8@cdc.gov| \n|Co-Editor:|Angella Antilla PhD, MSN|CDC|vtb9@cdc.gov| \n|Co-Editor:|Daniel Pollock, M.D.|CDC|DPollock@cdc.gov| \n|Co-Editor:|Ahmed Tahir|Leidos Consultant to CDC/NHSN|nmn8@cdc.gov| \n|Co-Editor:|Mindy Durrance|Leidos Consultant to CDC/NHSN|mdq1@cdc.gov| \n|Co-Editor:|Sheri Chernetsky Tejedor, MD|CDC|yei9@cdc.gov| \n|Co-Editor:|Sheila Abner|CDC|sha8@cdc.gov| \n|Co-Chair:|Erin Holt MPH|Tennessee Department of Health|erin.holt@tn.gov| \n|Co-Chair:|Laura Rappleye|Altarum|laura.rappleye@altarum.org| \n|Co-Chair:|Craig Newman|Altarum|craig.newman@altarum.org| \n|Co-Chair:|Danny Wise|Allscripts|danny.wise@allscripts.com| \n|Co-Chair:|Joginder Madra|Madra Consulting Inc.|hl7@madraconsulting.com| \n|Co-Chair:|Gaye Dolin M.S.N., R.N. |Intelligent Medical Objects |gdolin@imo-online.com| \n|Co-Chair:|Calvin Beebe|Mayo Clinic|cbeebe@mayo.edu| \n|Co-Chair:|Austin Kreisler|Leidos Consultant to CDC/NHSN|duz1@cdc.gov| \n|Co-Chair:|Andrew Statler|Cerner Corp|andrew.statler@cerner.com| \n|Co-Chair:|Sean McIlvenna| Lantana Consulting Group|sean.mcilvenna@lantanagroup.com| \n|Co-Chair:|Benjamin Flessner|Redox|benjamin@redoxengine.com| \n|Co-Editor:|Beau Bannerman|Lantana Consulting Group|beau.bannerman@lantanagroup.com| \n|Technical Editor:|Diana Wright|Lantana Consulting Group|diana.wright@lantanagroup.com| \n|Technical Editor:|Chris Hannigan|Lantana Consulting Group|chris.hannigan@lantanagroup.com| \n (built Wed, Apr 19, 2023 15:05+0000+00:00)"},{"name":"hl7.fhir.us.hai.r4","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/hai","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.hai.r4-2.1.0.tgz","date":"2025-10-29T00:09:02.000Z","description":"This implementation guide (IG) specifies standards for electronic submission of Healthcare Associated Infection (HAI) reports to the National Healthcare Safety Network (NHSN) of the Centers for Disease Control and Prevention (CDC). This IG contains a library of FHIR profiles for electronic submission of HAI reports to the NHSN.\n\nAs reports are modified and new report types are defined, CDC and Health Level Seven (HL7) will develop and publish additional constraints.\n\nThroughout this process, CDC remains the authority on NHSN data collection protocols. When healthcare enterprises choose to participate in NHSN, they must report to CDC occurrences such as specific reportable procedures, even those without complications, and events such as a bloodstream infection, either confirmed by a positive blood culture or supported by a patients clinical symptoms. This specification opens the channel for data submission by all applications compliant with the data coding requirements defined here.\n\nNote that participation in the NHSN requires enrollment and filing of reporting plans, which are not defined by this specification. 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It defines how to represent coded content used to support the care planning activities focusing on the needs of patients with multiple chronic conditions. This initial version focuses on Chronic Kidney Disease Type 2 diabetes mellitus, common cardiovascular disease (hypertension, ischemic heart disease and heart failure), chronic pain and Long Covid.The profiles defined within this IG were based on data elements of importance identified by the National Institute of Health's (NIH) National Institute of Diabetes and Digestive and Kidney Disease technical expert panels.\n\nA Care Plan is a consensus-driven dynamic plan that represents a patient’s and Care Team Members’ prioritized concerns, goals, planned and actual interventions and the resultant care outcomes. It serves as a blueprint shared by all Care Team Members (including the patient, their caregivers, and providers), to guide the patient’s care. A Care Plan integrates multiple interventions proposed by multiple providers and disciplines for multiple conditions. A Care Plan may represent one or more Care Plans and serves to reconcile and resolve conflicts between the various plans developed for a specific patient by different providers. It supports the following use cases:\n \n1.         Query for patient data across providers and compile into a consolidated care plan representation.\n2.         Encourage capture of and communication of a patient's health concerns and related goals, interventions, and outcomes.\n3.         Gather and aggregate patient data for uses beyond the point of care (e.g. public health, population health, quality measurement, risk adjustment, quality improvement, and research.)\n\nThis FHIR IG addresses the needs of multiple audiences. It provides technical artifacts that assist programmers when implementing standards-based FHIR application program interfaces (APIs) for specific purposes. It provides instructive material that explains how FHIR is used to accomplish specific use cases. It also provides general information that helps business analysts and technology decision-makers understand the use cases and benefits associated with achieving specific data exchange capabilities. A FHIR IG is as much a business planning tool as it is an educational resource and a technical specification.\n\n### How to Read this Guide and Cautions\nThis Guide is divided into several pages which are listed in the navigation bar at the top each page. The contents of each page are listed in a yellow \"Contents\" box at the top right of each page.\n\n### Value Set Library\n\nRather than creating nearly 1000 profiles covering important concepts for chronic care coordination for use within the MCC FHIR Care Plan profile, we have created 21 foundation profiles which conform to US Core Profiles (where available) adding constraints or extensions pertinent to their representation within a dynamic FHIR care plan and then creating libraries of value sets pertinent to the base profiles for representing chronic conditions, and their related interventions and goals and outcomes. \nThis project has built and houses its value sets in the National Library of Medicine's (NLM) Value Set Authority Center (VSAC). The value sets are not directly bound within the foundation profiles, but value set library pages are provided with links to the value sets in VSAC and descriptions of where within the profile each value set may be used. Because the value sets are housed in VSAC, it is necessary for implementation sites to obtain a free (for the US) UMLS license. In addition, HL7 FHIR Policies requiring everything to be open source in all realms, may present some implementation validation issues when interfacing with a value set housed in VSAC. This IG will provide guidance for this issue.\n\n### History of the Care Plan and Electronic Care Plans\n\nThe concept of a care plan began as a teaching tool for nursing students to research and document the medical conditions their patients had and identify the associated nursing care and family support needed. This was documented in a structured paper format that fostered the nursing process. The nursing process is the identification of health concerns and related goals, and the interventions needed to meet those goals and then evaluating the meeting of those goals – the outcomes. Over the years, the care plan evolved from a student teaching tool to something required for most patients in some format by various regulating or certifying bodies, and further, from a nursing care based plan, to an interdisciplinary patient focused tool.\n\nMost major vendors have electronic Care Plan modules, but the degree to which the modules are implemented and actively used is unknown. Few, if any, are exchange standards ready or mapped to exchange standards. The first HL7 standard representing Care Plan was the C-CDA Care Plan document designed to represent an instance of an EHR Care Plan similar to the Continuity of Care (CCD) CDA. Many of the learnings and designs for the FHIR Care Plan Resource and this IG were derived from the C-CDA Care Plan. There is also an IHE [Dynamic Care Planning (DCP)](https://wiki.ihe.net/index.php/Dynamic_Care_Planning_(DCP)) that provides the structures and transactions for care planning, creating, updating and sharing Care Plans that meet the needs of many, such as providers, patients and payers..  The Office of the National Coordinator (ONC) has put into regulation requirements around goals and health concerns which can currently be met by free text. The Dynamic Care Planning (DCP) Profile provides leveraged FHIR Resources to provide the structures and transactions for care planning and sharing Care Plans that meet the needs of many, such as providers, patients and payers. The DCP profile leverages the FHIR Care Plan resource, but does not specify, describe or define the use of it for representing specific conditions or multiple conditions. We are unaware of any real world implementations of it at this time.\n\nWe believe that this IG will be the first fully defined HL7 FHIR IG leveraging the FHIR Care Plan resources as its backbone structure for representing a dynamic care plan and testing its ability to bring together aggregated patient care plan data including patient outcomes.\n\n### Project Overview\n\nMore than 25 percent of Americans have MCC, accounting for more than 65 percent of U.S. healthcare spending. These individuals have complex health needs handled by diverse providers, across multiple settings of care. As a result, their care is often fragmented, poorly coordinated, and inefficient. Therefore, data aggregation is particularly important and challenging for people with MCC. These challenges will increasingly strain the U.S. health system, with the aging of the U.S. population. Projections suggest numbers of adults aged 65 and older will more than double and numbers of those aged 85 and older will triple by 2050.\n \nCare plans are a prominent part of multifaceted, care coordination interventions that reduce mortality and hospitalizations and improve disease management and satisfaction. In addition, proactive care planning promotes person-centeredness, improves outcomes, and reduces the cost of care. By design, care plans take a patient-centered approach, both by making comprehensive health data available across providers and settings and through the incorporation of data elements that have not traditionally been included in health IT systems (e.g., social determinants of health SDOH, patient health and life goals, patient preferences). While Care Plans have been developed, they remain paper-based in many U.S. healthcare settings and are not standardized and interoperable across care settings when electronic. While care plans focused on a single disease or condition are unlikely to be tenable for patients with MCC or their providers, existing care plans infrequently address individuals with MCC. The development of care plans based on structured data has been proposed as a method for enabling electronic systems to pull together and share data elements automatically and dynamically. Such aggregated data would not only provide actionable information to identify and achieve health and wellness goals for individuals with MCC, but also would reduce missingness and improve quality of point-of-care data for use in pragmatic research.\n \nThe Fast Healthcare Interoperability Resources (FHIR) specification is an open-source standard for exchanging healthcare information electronically based on emerging industry approaches. The FHIR workflow specification includes a CarePlan request resource that may facilitate transfer of data for an e-care plan across healthcare settings. SMART (https://smarthealthit.org/) and SMART on FHIR standards include open specifications to integrate applications with health IT systems and may enable the development of an e-care plan application that can integrate with a variety of electronic health record (EHR) systems.\n\nInitiated by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the multiple chronic conditions (MCC) electronic care (eCare) Plan Project aims to develop, test, and pilot an interoperable eCare plan that will facilitate aggregation and sharing of critical patient-centered data across home, community, clinic, and research-based settings for persons with MCC, including chronic kidney disease (CKD), type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), pain with opioid use disorder (OUD), and long COVID. \n\nThe HL7-based activities of the MCC eCare Plan Project include:\n \n - Identified use cases to support the documentation and exchange of MCC eCare plan data within EHRs and related systems.\n - Identified, developed, and prioritized the necessary MCC data elements and clinical terminology standards and FHIR® mappings that will enable the standardized transfer of data across health settings.\n - Develop, test, and ballot an HL7® Fast Health Interoperability Resources (FHIR®) Implementation Guide based on the defined use cases and MCC data elements.\n \nNon-HL7 related activities of the MCC eCare Plan project will be facilitated through the [AHRQ eCare Plan Project Confluence](https://ecareplan.ahrq.gov/collaborate):\n - The project includes the develoment and testing of an open-source clinician and patient facing SMART-on-FHIR eCare plan application for managing persons with MCC.\n\n####  Project Timelines\n - January 2024: A For comment ballot to gather community input prior to the formal STU Ballot\n - September 2024: Formal STU Ballot\n - May 2025 Formal HL7 Publication\n\n\n### Guidance\nThe guidance section provides general implementation guidance and best practices. It describes the relation to and reuse of the US Core Implementation Guide profiles and reuse of its conformance requirements and expectations for the servers and client applications. Vocabulary use and value set binding heuristics are described.\n\n####  Relationship to US Core\n\nThis Implementation Guide reuses US Core profiles either through direct use or by constraining select profiles for representation within a FHIR Care Plan profile. Where US Core does not have a profile or function that is needed for the use cases or data elements, the IG constrains or directly reuses other resources, or profiles defined in other FHIR IGs. \nThis guide will reuse the US Core Care Plan. However, the required US Core CarePlan.text and the required Care.Plan.category:AssessPlan may be limiting factors for this context of use: aggregation of multiple chronic condition care plans and the ability to query for structured data within a structured Care Plan. As such, we recommend adding additional Care Plan categories if deemed more informational to reflect multiple chronic condition care coordination and plans and to hard code “Multiple Chronic Condition Care Coordination Plan” at CarePlan.text\n\n\n#####  General US Core IG Conformance\n\nThis guide will adhere to or build on US conformance requirements, most of its [General Guidance](https://www.hl7.org/fhir/us/core/general-guidance.html), and its [Capability Statements](https://www.hl7.org/fhir/us/core/capstatements.html) where applicable. \n\n#####  Provenance\n\nThis IG recommends implementers adhere to guidelines and definitions provided in US Core’s [Basic Provenance Guidance](https://www.hl7.org/fhir/us/core/basic-provenance.html). \n\n#####  Must Support\n\nThis IG will adhere to the US Core [Must Support](https://www.hl7.org/fhir/us/core/general-guidance.html#must-support) concept and rules.\n\n### Acknowledgements\nThis Implementation Guide was made possible through the visionary leadership of the [National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) ](https://www.niddk.nih.gov/)and the [Agency for Healthcare Research and Quality (AHRQ) ](https://www.ahrq.gov/)with funding from the [Office of the Assistant Secretary for Planning and Evaluation (ASPE)](https://aspe.hhs.gov/collaborations-committees-advisory-groups/os-pcortf/explore-portfolio). The joint NIDDK-AHRQ project team can be found [here](https://cmext.ahrq.gov/confluence/display/EC/Project+Team). We would also like to thank the many clinicians, patients, caregivers, researchers, advocates, and subject matter experts who served on our [Technical Expert Panels](https://cmext.ahrq.gov/confluence/display/EC/Technical+Expert+Panels) and [Contract Monitoring Board ](https://cmext.ahrq.gov/confluence/display/EC/Contract+Monitoring+Board) for their time, insight, and support. \n\nThis Implementation Guide was created under the supervision and review of the [HL7 Patient Care Work Group](https://www.hl7.org/Special/committees/patientcare/index.cfm). This is the HL7 project page for the [Multiple Chronic Conditions e-Care Project.](https://confluence.hl7.org/display/PC/Multiple+Chronic+Conditions+%28MCC%29+eCare+Plan)\n\n (built Tue, Aug 13, 2024 21:18+0000+00:00)"},{"name":"hl7.fhir.us.mcc.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/mcc","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mcc.r4b-1.0.0.tgz","date":"2025-10-29T00:10:14.000Z","description":"### Introduction\nThis HL7&reg; Multiple Chronic Condition (MCC) Care Plan Implementation Guide (IG) defines FHIR R4 profiles, structures, extensions, transactions and value sets needed to represent, query for, and exchange Care Plan information. It defines how to represent coded content used to support the care planning activities focusing on the needs of patients with multiple chronic conditions. This initial version focuses on Chronic Kidney Disease Type 2 diabetes mellitus, common cardiovascular disease (hypertension, ischemic heart disease and heart failure), chronic pain and Long Covid.The profiles defined within this IG were based on data elements of importance identified by the National Institute of Health's (NIH) National Institute of Diabetes and Digestive and Kidney Disease technical expert panels.\n\nA Care Plan is a consensus-driven dynamic plan that represents a patient’s and Care Team Members’ prioritized concerns, goals, planned and actual interventions and the resultant care outcomes. It serves as a blueprint shared by all Care Team Members (including the patient, their caregivers, and providers), to guide the patient’s care. A Care Plan integrates multiple interventions proposed by multiple providers and disciplines for multiple conditions. A Care Plan may represent one or more Care Plans and serves to reconcile and resolve conflicts between the various plans developed for a specific patient by different providers. It supports the following use cases:\n \n1.         Query for patient data across providers and compile into a consolidated care plan representation.\n2.         Encourage capture of and communication of a patient's health concerns and related goals, interventions, and outcomes.\n3.         Gather and aggregate patient data for uses beyond the point of care (e.g. public health, population health, quality measurement, risk adjustment, quality improvement, and research.)\n\nThis FHIR IG addresses the needs of multiple audiences. It provides technical artifacts that assist programmers when implementing standards-based FHIR application program interfaces (APIs) for specific purposes. It provides instructive material that explains how FHIR is used to accomplish specific use cases. It also provides general information that helps business analysts and technology decision-makers understand the use cases and benefits associated with achieving specific data exchange capabilities. A FHIR IG is as much a business planning tool as it is an educational resource and a technical specification.\n\n### How to Read this Guide and Cautions\nThis Guide is divided into several pages which are listed in the navigation bar at the top each page. The contents of each page are listed in a yellow \"Contents\" box at the top right of each page.\n\n### Value Set Library\n\nRather than creating nearly 1000 profiles covering important concepts for chronic care coordination for use within the MCC FHIR Care Plan profile, we have created 21 foundation profiles which conform to US Core Profiles (where available) adding constraints or extensions pertinent to their representation within a dynamic FHIR care plan and then creating libraries of value sets pertinent to the base profiles for representing chronic conditions, and their related interventions and goals and outcomes. \nThis project has built and houses its value sets in the National Library of Medicine's (NLM) Value Set Authority Center (VSAC). The value sets are not directly bound within the foundation profiles, but value set library pages are provided with links to the value sets in VSAC and descriptions of where within the profile each value set may be used. Because the value sets are housed in VSAC, it is necessary for implementation sites to obtain a free (for the US) UMLS license. In addition, HL7 FHIR Policies requiring everything to be open source in all realms, may present some implementation validation issues when interfacing with a value set housed in VSAC. This IG will provide guidance for this issue.\n\n### History of the Care Plan and Electronic Care Plans\n\nThe concept of a care plan began as a teaching tool for nursing students to research and document the medical conditions their patients had and identify the associated nursing care and family support needed. This was documented in a structured paper format that fostered the nursing process. The nursing process is the identification of health concerns and related goals, and the interventions needed to meet those goals and then evaluating the meeting of those goals – the outcomes. Over the years, the care plan evolved from a student teaching tool to something required for most patients in some format by various regulating or certifying bodies, and further, from a nursing care based plan, to an interdisciplinary patient focused tool.\n\nMost major vendors have electronic Care Plan modules, but the degree to which the modules are implemented and actively used is unknown. Few, if any, are exchange standards ready or mapped to exchange standards. The first HL7 standard representing Care Plan was the C-CDA Care Plan document designed to represent an instance of an EHR Care Plan similar to the Continuity of Care (CCD) CDA. Many of the learnings and designs for the FHIR Care Plan Resource and this IG were derived from the C-CDA Care Plan. There is also an IHE [Dynamic Care Planning (DCP)](https://wiki.ihe.net/index.php/Dynamic_Care_Planning_(DCP)) that provides the structures and transactions for care planning, creating, updating and sharing Care Plans that meet the needs of many, such as providers, patients and payers..  The Office of the National Coordinator (ONC) has put into regulation requirements around goals and health concerns which can currently be met by free text. The Dynamic Care Planning (DCP) Profile provides leveraged FHIR Resources to provide the structures and transactions for care planning and sharing Care Plans that meet the needs of many, such as providers, patients and payers. The DCP profile leverages the FHIR Care Plan resource, but does not specify, describe or define the use of it for representing specific conditions or multiple conditions. We are unaware of any real world implementations of it at this time.\n\nWe believe that this IG will be the first fully defined HL7 FHIR IG leveraging the FHIR Care Plan resources as its backbone structure for representing a dynamic care plan and testing its ability to bring together aggregated patient care plan data including patient outcomes.\n\n### Project Overview\n\nMore than 25 percent of Americans have MCC, accounting for more than 65 percent of U.S. healthcare spending. These individuals have complex health needs handled by diverse providers, across multiple settings of care. As a result, their care is often fragmented, poorly coordinated, and inefficient. Therefore, data aggregation is particularly important and challenging for people with MCC. These challenges will increasingly strain the U.S. health system, with the aging of the U.S. population. Projections suggest numbers of adults aged 65 and older will more than double and numbers of those aged 85 and older will triple by 2050.\n \nCare plans are a prominent part of multifaceted, care coordination interventions that reduce mortality and hospitalizations and improve disease management and satisfaction. In addition, proactive care planning promotes person-centeredness, improves outcomes, and reduces the cost of care. By design, care plans take a patient-centered approach, both by making comprehensive health data available across providers and settings and through the incorporation of data elements that have not traditionally been included in health IT systems (e.g., social determinants of health SDOH, patient health and life goals, patient preferences). While Care Plans have been developed, they remain paper-based in many U.S. healthcare settings and are not standardized and interoperable across care settings when electronic. While care plans focused on a single disease or condition are unlikely to be tenable for patients with MCC or their providers, existing care plans infrequently address individuals with MCC. The development of care plans based on structured data has been proposed as a method for enabling electronic systems to pull together and share data elements automatically and dynamically. Such aggregated data would not only provide actionable information to identify and achieve health and wellness goals for individuals with MCC, but also would reduce missingness and improve quality of point-of-care data for use in pragmatic research.\n \nThe Fast Healthcare Interoperability Resources (FHIR) specification is an open-source standard for exchanging healthcare information electronically based on emerging industry approaches. The FHIR workflow specification includes a CarePlan request resource that may facilitate transfer of data for an e-care plan across healthcare settings. SMART (https://smarthealthit.org/) and SMART on FHIR standards include open specifications to integrate applications with health IT systems and may enable the development of an e-care plan application that can integrate with a variety of electronic health record (EHR) systems.\n\nInitiated by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the multiple chronic conditions (MCC) electronic care (eCare) Plan Project aims to develop, test, and pilot an interoperable eCare plan that will facilitate aggregation and sharing of critical patient-centered data across home, community, clinic, and research-based settings for persons with MCC, including chronic kidney disease (CKD), type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), pain with opioid use disorder (OUD), and long COVID. \n\nThe HL7-based activities of the MCC eCare Plan Project include:\n \n - Identified use cases to support the documentation and exchange of MCC eCare plan data within EHRs and related systems.\n - Identified, developed, and prioritized the necessary MCC data elements and clinical terminology standards and FHIR® mappings that will enable the standardized transfer of data across health settings.\n - Develop, test, and ballot an HL7® Fast Health Interoperability Resources (FHIR®) Implementation Guide based on the defined use cases and MCC data elements.\n \nNon-HL7 related activities of the MCC eCare Plan project will be facilitated through the [AHRQ eCare Plan Project Confluence](https://ecareplan.ahrq.gov/collaborate):\n - The project includes the develoment and testing of an open-source clinician and patient facing SMART-on-FHIR eCare plan application for managing persons with MCC.\n\n####  Project Timelines\n - January 2024: A For comment ballot to gather community input prior to the formal STU Ballot\n - September 2024: Formal STU Ballot\n - May 2025 Formal HL7 Publication\n\n\n### Guidance\nThe guidance section provides general implementation guidance and best practices. It describes the relation to and reuse of the US Core Implementation Guide profiles and reuse of its conformance requirements and expectations for the servers and client applications. Vocabulary use and value set binding heuristics are described.\n\n####  Relationship to US Core\n\nThis Implementation Guide reuses US Core profiles either through direct use or by constraining select profiles for representation within a FHIR Care Plan profile. Where US Core does not have a profile or function that is needed for the use cases or data elements, the IG constrains or directly reuses other resources, or profiles defined in other FHIR IGs. \nThis guide will reuse the US Core Care Plan. However, the required US Core CarePlan.text and the required Care.Plan.category:AssessPlan may be limiting factors for this context of use: aggregation of multiple chronic condition care plans and the ability to query for structured data within a structured Care Plan. As such, we recommend adding additional Care Plan categories if deemed more informational to reflect multiple chronic condition care coordination and plans and to hard code “Multiple Chronic Condition Care Coordination Plan” at CarePlan.text\n\n\n#####  General US Core IG Conformance\n\nThis guide will adhere to or build on US conformance requirements, most of its [General Guidance](https://www.hl7.org/fhir/us/core/general-guidance.html), and its [Capability Statements](https://www.hl7.org/fhir/us/core/capstatements.html) where applicable. \n\n#####  Provenance\n\nThis IG recommends implementers adhere to guidelines and definitions provided in US Core’s [Basic Provenance Guidance](https://www.hl7.org/fhir/us/core/basic-provenance.html). \n\n#####  Must Support\n\nThis IG will adhere to the US Core [Must Support](https://www.hl7.org/fhir/us/core/general-guidance.html#must-support) concept and rules.\n\n### Acknowledgements\nThis Implementation Guide was made possible through the visionary leadership of the [National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) ](https://www.niddk.nih.gov/)and the [Agency for Healthcare Research and Quality (AHRQ) ](https://www.ahrq.gov/)with funding from the [Office of the Assistant Secretary for Planning and Evaluation (ASPE)](https://aspe.hhs.gov/collaborations-committees-advisory-groups/os-pcortf/explore-portfolio). The joint NIDDK-AHRQ project team can be found [here](https://cmext.ahrq.gov/confluence/display/EC/Project+Team). We would also like to thank the many clinicians, patients, caregivers, researchers, advocates, and subject matter experts who served on our [Technical Expert Panels](https://cmext.ahrq.gov/confluence/display/EC/Technical+Expert+Panels) and [Contract Monitoring Board ](https://cmext.ahrq.gov/confluence/display/EC/Contract+Monitoring+Board) for their time, insight, and support. \n\nThis Implementation Guide was created under the supervision and review of the [HL7 Patient Care Work Group](https://www.hl7.org/Special/committees/patientcare/index.cfm). This is the HL7 project page for the [Multiple Chronic Conditions e-Care Project.](https://confluence.hl7.org/display/PC/Multiple+Chronic+Conditions+%28MCC%29+eCare+Plan)\n\n (built Tue, Aug 13, 2024 21:18+0000+00:00)"},{"name":"hl7.fhir.us.mcode.r4","version":"4.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/mcode","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mcode.r4-4.0.0.tgz","date":"2025-10-29T00:10:26.000Z","description":"mCODE™ (short for Minimal Common Oncology Data Elements) is an initiative intended to assemble a core set of structured data elements for oncology electronic health records. 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(built Thu, Jun 8, 2023 19:04+0000+00:00)"},{"name":"hl7.fhir.us.medmorph.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/medmorph","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.medmorph.r4b-1.0.0.tgz","date":"2025-10-29T00:11:32.000Z","description":"MedMorph describes a framework to enable submission of data from healthcare organizations to public health and research organizations. (built Thu, Jun 8, 2023 19:04+0000+00:00)"},{"name":"hl7.fhir.us.meds","version":"2.1.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/meds","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.meds-2.1.0.tgz","date":"2025-10-29T00:11:34.000Z"},{"name":"hl7.fhir.us.mihr.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/mihr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mihr.r4-1.0.0.tgz","date":"2025-10-29T00:11:37.000Z","description":"### Scope\nThe Longitudinal Maternal & Child Health Information for Research FHIR R4 implementation guide (IG) defines a framework to enable maternal health researchers to aggregate, calculate, and analyze clinical information of research populations to explore the root causes for maternal and child morbidity and mortality. It uses Clinical Quality Language (CQL) expressions to assist researchers in capturing clinical data based on population study cohort criteria. This IG focuses on information relevant to longitudinal maternal care, which includes antepartum (including pre-pregnancy), intrapartum, and postpartum care of a pregnant woman. It includes how to link maternal longitudinal record with associated child/children records. \n\nThis US Realm IG supports the use of US Core profiles where possible, as well as base FHIR and Vital Records Common Profiles FHIR IG data model for the structural linkage of mother and child clinical records. \n\n\n### Background\nThe rates of maternal mortality have been rising in the United States since 1987. Clinical data relevant to understanding this trend are not standardized, and data exchange is not interoperable across many relevant settings. Maternal health and associated child health are inextricably linked – what happens during gestation, delivery, and after informs health outcomes of both mother and child – but relevant data is often held in separate, unconnected records. These issues impede research on maternal morbidity and longitudinal maternal care and associated impacts to infant health. Research on root causes of maternal mortality, pediatric developmental problems, and effective treatments requires exchange of information stored in disparate sources, such as electronic health record (EHR) systems, registries, and public health agencies (PHAs).\n\nThe types of information needed to research maternal health and morbidity include social determinants of health (SDOH) and associated clinical data such as antepartum, intrapartum, and postpartum care of a pregnant woman; pregnancy-related conditions and outcomes; maternal co-morbidities; child health data; and procedures. The goal of this FHIR IG is to define a model to support data exchange for predictive analysis, risk assessment, and retrospective maternal health research across the spectrum and duration of care. \n\nFuture users may include health departments using EHR data to inform public health interventions (e.g., case identification for reportable conditions, identifying persons lost to care, etc.) and maternal and child health researchers. The standards development effort will also examine options for data exchange mechanisms, including point-in-time query (data pull) and research population creation, i.e., patient enrollment in a study.\n\n### Maternal Research Use Cases\n\nThis IG will eventually support mapping maternal data across health records from specialty care and linking mother and child data harmonized across a broad set of use cases. This will support researchers in identifying root causes of maternal mortality and pediatric developmental problems, including SDOH such as limited income, poor nutrition, lack of medical coverage, etc. The goal of the project is to create a method to standardize data capture for comparative analysis over time to improve health outcomes and define a framework for studying additional research populations in the future.\n\nInitial use cases of this IG focus on hypertensive disorders of pregnancy pre, ante, and postpartum and pregnancy and subsequent death within a specific timeframe. The intent is to specify the consistent capture of clinical data of interest to maternal health researchers and outline implementing FHIR resources for that capture. Currently, the IG defines two initial, separate research use case populations: \n\n* Pregnancy and subsequent death within a specific time frame: This cohort includes women who died within a year (365 days) of a pregnancy regardless of cause of death or pregnancy outcome.\n* Hypertensive Disorders of pregnancy: This use case focuses on women with a diagnosis of hypertensive disorders of pregnancy.\n\nIn both instances, the IG will establish linkages via the US Core Related Person profile to collect associated child health data that may inform maternal health research outcomes. \n\nIn the future, the IG will expand this framework to a range of use cases including:\n* Risks for children related to maternal exposure to medications taken during pregnancy\n* Potential adverse maternal obstetric history impacts on child outcomes\n* Access to relevant sensitive health information\n* Retrospective population-based analysis of inherited disorders\n* The impacts of [work habits, work environment, and work-associated health insurance](http://hl7.org/fhir/us/odh/) impacts to pregnancy and maternal health\n\nThis guide fundamentally relies on creating structural relationships between:\n* Maternal and child records to effectively diagnose and treat otherwise fatal child outcomes\n* Maternal and child birth records and/or maternal and child death records\n* Maternal and child records in multiple disparate systems\n\n### Audience \nThe audience for this IG includes EHR vendors, developers of software tooling researchers, and associated information management systems. Researchers, business analysts, and policy managers can also benefit from a basic understanding of the use of this guide to support measure calculation for research purposes.\n\n### Authors & Project Team\nThis table lists the authors, subject matter experts, and the affiliations which contributed to this standard. \n\n<style type=\"text/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-4erg{border-color:inherit;font-style:italic;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0r4h{border-color:inherit;font-family:serif !important;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-fymr{border-color:inherit;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}\n</style>\n<table class=\"tg\">\n<thead>\n  <tr>\n    <th class=\"tg-fymr\">Name &amp; Affiliation</th>\n    <th class=\"tg-0r4h\">Role</th>\n    <th class=\"tg-fymr\">Contact</th>\n  </tr>\n</thead>\n<tbody>\n  <tr>\n    <td class=\"tg-4erg\">Lantana Consulting Group</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Courtney Panaia-Rodi </td>\n    <td class=\"tg-0pky\">Project Executive</td>\n    <td class=\"tg-0pky\">courtney.panaia-rodi@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Wendy Wise</td>\n    <td class=\"tg-0pky\">Project Manager</td>\n    <td class=\"tg-0pky\">wendy.wise@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lani Johnson</td>\n    <td class=\"tg-0pky\">Associate Project Manager</td>\n    <td class=\"tg-0pky\">lani.johnson@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rick Geimer</td>\n    <td class=\"tg-0pky\">FHIR Subject Matter Expert</td>\n    <td class=\"tg-0pky\">rick.geimer@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Zabrina Gonzaga</td>\n    <td class=\"tg-0pky\">Terminology Subject Matter Expert</td>\n    <td class=\"tg-0pky\">zabrina.gonzaga@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Sarah Gaunt</td>\n    <td class=\"tg-0pky\">Senior FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">sarah.gaunt@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Dave deRoode</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">david.deroode@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ming Dunajick</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">ming.dunajick@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ruby Nash</td>\n    <td class=\"tg-0pky\">FHIR Analyst</td>\n    <td class=\"tg-0pky\">ruby.nash@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the Assistant Secretary for Planning and Evaluation (ASPE)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Violanda Grigorescu, MD, MSPH</td>\n    <td class=\"tg-0pky\">Senior Health Scientist <br>Division of Healthcare Quality and Outcomes, Office of Health Policy</td>\n    <td class=\"tg-0pky\">violanda.grigorescu@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Centers for Disease Control and Prevention (CDC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Margaret Lampe, RN, MPH</td>\n    <td class=\"tg-0pky\">Nurse Epidemiologist &amp; Project Officer <br>Perinatal HIV Prevention Program</td>\n    <td class=\"tg-0pky\">mol0@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lisa Romero, DrPH</td>\n    <td class=\"tg-0pky\">Health Scientist <br>Division of Adolescent School Health</td>\n    <td class=\"tg-0pky\">eon1@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">National Institutes of Health (NIH) <br>Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) <br>National Information Center on Health Services Research and Health Care Technology (NICHSR)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alison Cernich</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director</td>\n    <td class=\"tg-0pky\">alison.cernich@nih.hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">John (Jack) Moye, Jr., MD</td>\n    <td class=\"tg-0pky\">Acting Director - National Children's Study <br>NICHD Medical Officer - Maternal &amp; Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">moyej@exchange.nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Nahida Chakhtoura, MD, MsGH</td>\n    <td class=\"tg-0pky\">NICHD Medical Officer <br>Maternal and Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">nahida.chakhtoura@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Juanita Chinn, PhD</td>\n    <td class=\"tg-0pky\">NICHD Program Director <br>Population Dynamics Branch</td>\n    <td class=\"tg-0pky\">juanita.chinn@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Valerie Cotton</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director <br>Office of Data Science and Sharing</td>\n    <td class=\"tg-0pky\">valerie.cotton@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Liz Amos, MLIS</td>\n    <td class=\"tg-0pky\">Special Assistant to the Chief Health Data Standards Officer <br>National Library of Medicine</td>\n    <td class=\"tg-0pky\">liz.amos@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the National Coordinator for Health IT (ONC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Carmen Smiley</td>\n    <td class=\"tg-0pky\">IT Specialist (Systems Analysis)</td>\n    <td class=\"tg-0pky\">carmen.smiley@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rachel Abbey</td>\n    <td class=\"tg-0pky\">Public Health Analyst &amp; Program Officer</td>\n    <td class=\"tg-0pky\">rachel.abbey@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Stephanie Garcia</td>\n    <td class=\"tg-0pky\">Senior Program Analyst</td>\n    <td class=\"tg-0pky\">stephanie.garcia@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Brittney Boakye, MPH</td>\n    <td class=\"tg-0pky\">Program Assistant <br>Scientific Advancement Branch</td>\n    <td class=\"tg-0pky\">brittney.boakye@hhs.gov<br></td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alan Taylor</td>\n    <td class=\"tg-0pky\">Medical Informatics Officer, Standards and Terminology</td>\n    <td class=\"tg-0pky\">albert.taylor@hhs.gov</td>\n  </tr>\n</tbody>\n</table>\n\n### Acknowledgements\nThis guide was developed and produced through the efforts of Health Level Seven (HL7) and created using the Trifolia-on-FHIR tool, provided by Lantana Consulting Group. The HL7 Project Insight reference number for this project is 1736.\nThe editors appreciate the support and sponsorship of the HL7 Public Health Workgroup, and all volunteers and staff associated with the creation of this document. This guide would not have been possible without the support of the following groups.\nHealth Level Seven, HL7, CDA, CCD, FHIR and the [FLAME DESIGN] are registered trademarks of Health Level Seven International, registered in the US Trademark Office.\n\nThis IG includes content from SNOMED CT, which is copyright © 2002+ International Health Terminology Standards Development Organisation (IHTSDO), and distributed by agreement between IHTSDO and HL7. Implementer use of SNOMED CT is not covered by this agreement.\n\nThis material contains content from [LOINC](http://loinc.org). LOINC is copyright © 1995-2021, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee and is available at no cost under the license at https://loinc.org/kb/license/. LOINC® is a registered United States trademark of Regenstrief Institute, Inc. (built Wed, Mar 29, 2023 19:33+0000+00:00)"},{"name":"hl7.fhir.us.mihr.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/mihr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.mihr.r4b-1.0.0.tgz","date":"2025-10-29T00:11:38.000Z","description":"### Scope\nThe Longitudinal Maternal & Child Health Information for Research FHIR R4 implementation guide (IG) defines a framework to enable maternal health researchers to aggregate, calculate, and analyze clinical information of research populations to explore the root causes for maternal and child morbidity and mortality. It uses Clinical Quality Language (CQL) expressions to assist researchers in capturing clinical data based on population study cohort criteria. This IG focuses on information relevant to longitudinal maternal care, which includes antepartum (including pre-pregnancy), intrapartum, and postpartum care of a pregnant woman. It includes how to link maternal longitudinal record with associated child/children records. \n\nThis US Realm IG supports the use of US Core profiles where possible, as well as base FHIR and Vital Records Common Profiles FHIR IG data model for the structural linkage of mother and child clinical records. \n\n\n### Background\nThe rates of maternal mortality have been rising in the United States since 1987. Clinical data relevant to understanding this trend are not standardized, and data exchange is not interoperable across many relevant settings. Maternal health and associated child health are inextricably linked – what happens during gestation, delivery, and after informs health outcomes of both mother and child – but relevant data is often held in separate, unconnected records. These issues impede research on maternal morbidity and longitudinal maternal care and associated impacts to infant health. Research on root causes of maternal mortality, pediatric developmental problems, and effective treatments requires exchange of information stored in disparate sources, such as electronic health record (EHR) systems, registries, and public health agencies (PHAs).\n\nThe types of information needed to research maternal health and morbidity include social determinants of health (SDOH) and associated clinical data such as antepartum, intrapartum, and postpartum care of a pregnant woman; pregnancy-related conditions and outcomes; maternal co-morbidities; child health data; and procedures. The goal of this FHIR IG is to define a model to support data exchange for predictive analysis, risk assessment, and retrospective maternal health research across the spectrum and duration of care. \n\nFuture users may include health departments using EHR data to inform public health interventions (e.g., case identification for reportable conditions, identifying persons lost to care, etc.) and maternal and child health researchers. The standards development effort will also examine options for data exchange mechanisms, including point-in-time query (data pull) and research population creation, i.e., patient enrollment in a study.\n\n### Maternal Research Use Cases\n\nThis IG will eventually support mapping maternal data across health records from specialty care and linking mother and child data harmonized across a broad set of use cases. This will support researchers in identifying root causes of maternal mortality and pediatric developmental problems, including SDOH such as limited income, poor nutrition, lack of medical coverage, etc. The goal of the project is to create a method to standardize data capture for comparative analysis over time to improve health outcomes and define a framework for studying additional research populations in the future.\n\nInitial use cases of this IG focus on hypertensive disorders of pregnancy pre, ante, and postpartum and pregnancy and subsequent death within a specific timeframe. The intent is to specify the consistent capture of clinical data of interest to maternal health researchers and outline implementing FHIR resources for that capture. Currently, the IG defines two initial, separate research use case populations: \n\n* Pregnancy and subsequent death within a specific time frame: This cohort includes women who died within a year (365 days) of a pregnancy regardless of cause of death or pregnancy outcome.\n* Hypertensive Disorders of pregnancy: This use case focuses on women with a diagnosis of hypertensive disorders of pregnancy.\n\nIn both instances, the IG will establish linkages via the US Core Related Person profile to collect associated child health data that may inform maternal health research outcomes. \n\nIn the future, the IG will expand this framework to a range of use cases including:\n* Risks for children related to maternal exposure to medications taken during pregnancy\n* Potential adverse maternal obstetric history impacts on child outcomes\n* Access to relevant sensitive health information\n* Retrospective population-based analysis of inherited disorders\n* The impacts of [work habits, work environment, and work-associated health insurance](http://hl7.org/fhir/us/odh/) impacts to pregnancy and maternal health\n\nThis guide fundamentally relies on creating structural relationships between:\n* Maternal and child records to effectively diagnose and treat otherwise fatal child outcomes\n* Maternal and child birth records and/or maternal and child death records\n* Maternal and child records in multiple disparate systems\n\n### Audience \nThe audience for this IG includes EHR vendors, developers of software tooling researchers, and associated information management systems. Researchers, business analysts, and policy managers can also benefit from a basic understanding of the use of this guide to support measure calculation for research purposes.\n\n### Authors & Project Team\nThis table lists the authors, subject matter experts, and the affiliations which contributed to this standard. \n\n<style type=\"text/css\">\n.tg  {border-collapse:collapse;border-spacing:0;}\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\n.tg .tg-4erg{border-color:inherit;font-style:italic;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0r4h{border-color:inherit;font-family:serif !important;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-fymr{border-color:inherit;font-weight:bold;text-align:left;vertical-align:top}\n.tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:top}\n</style>\n<table class=\"tg\">\n<thead>\n  <tr>\n    <th class=\"tg-fymr\">Name &amp; Affiliation</th>\n    <th class=\"tg-0r4h\">Role</th>\n    <th class=\"tg-fymr\">Contact</th>\n  </tr>\n</thead>\n<tbody>\n  <tr>\n    <td class=\"tg-4erg\">Lantana Consulting Group</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Courtney Panaia-Rodi </td>\n    <td class=\"tg-0pky\">Project Executive</td>\n    <td class=\"tg-0pky\">courtney.panaia-rodi@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Wendy Wise</td>\n    <td class=\"tg-0pky\">Project Manager</td>\n    <td class=\"tg-0pky\">wendy.wise@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lani Johnson</td>\n    <td class=\"tg-0pky\">Associate Project Manager</td>\n    <td class=\"tg-0pky\">lani.johnson@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rick Geimer</td>\n    <td class=\"tg-0pky\">FHIR Subject Matter Expert</td>\n    <td class=\"tg-0pky\">rick.geimer@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Zabrina Gonzaga</td>\n    <td class=\"tg-0pky\">Terminology Subject Matter Expert</td>\n    <td class=\"tg-0pky\">zabrina.gonzaga@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Sarah Gaunt</td>\n    <td class=\"tg-0pky\">Senior FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">sarah.gaunt@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Dave deRoode</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">david.deroode@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ming Dunajick</td>\n    <td class=\"tg-0pky\">FHIR/CDA Analyst</td>\n    <td class=\"tg-0pky\">ming.dunajick@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Ruby Nash</td>\n    <td class=\"tg-0pky\">FHIR Analyst</td>\n    <td class=\"tg-0pky\">ruby.nash@lantanagroup.com</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the Assistant Secretary for Planning and Evaluation (ASPE)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Violanda Grigorescu, MD, MSPH</td>\n    <td class=\"tg-0pky\">Senior Health Scientist <br>Division of Healthcare Quality and Outcomes, Office of Health Policy</td>\n    <td class=\"tg-0pky\">violanda.grigorescu@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Centers for Disease Control and Prevention (CDC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Margaret Lampe, RN, MPH</td>\n    <td class=\"tg-0pky\">Nurse Epidemiologist &amp; Project Officer <br>Perinatal HIV Prevention Program</td>\n    <td class=\"tg-0pky\">mol0@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Lisa Romero, DrPH</td>\n    <td class=\"tg-0pky\">Health Scientist <br>Division of Adolescent School Health</td>\n    <td class=\"tg-0pky\">eon1@cdc.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">National Institutes of Health (NIH) <br>Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) <br>National Information Center on Health Services Research and Health Care Technology (NICHSR)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alison Cernich</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director</td>\n    <td class=\"tg-0pky\">alison.cernich@nih.hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">John (Jack) Moye, Jr., MD</td>\n    <td class=\"tg-0pky\">Acting Director - National Children's Study <br>NICHD Medical Officer - Maternal &amp; Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">moyej@exchange.nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Nahida Chakhtoura, MD, MsGH</td>\n    <td class=\"tg-0pky\">NICHD Medical Officer <br>Maternal and Pediatric Infectious Disease Branch</td>\n    <td class=\"tg-0pky\">nahida.chakhtoura@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Juanita Chinn, PhD</td>\n    <td class=\"tg-0pky\">NICHD Program Director <br>Population Dynamics Branch</td>\n    <td class=\"tg-0pky\">juanita.chinn@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Valerie Cotton</td>\n    <td class=\"tg-0pky\">NICHD Deputy Director <br>Office of Data Science and Sharing</td>\n    <td class=\"tg-0pky\">valerie.cotton@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Liz Amos, MLIS</td>\n    <td class=\"tg-0pky\">Special Assistant to the Chief Health Data Standards Officer <br>National Library of Medicine</td>\n    <td class=\"tg-0pky\">liz.amos@nih.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-4erg\">Office of the National Coordinator for Health IT (ONC)</td>\n    <td class=\"tg-0pky\"> </td>\n    <td class=\"tg-0pky\"> </td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Carmen Smiley</td>\n    <td class=\"tg-0pky\">IT Specialist (Systems Analysis)</td>\n    <td class=\"tg-0pky\">carmen.smiley@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Rachel Abbey</td>\n    <td class=\"tg-0pky\">Public Health Analyst &amp; Program Officer</td>\n    <td class=\"tg-0pky\">rachel.abbey@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Stephanie Garcia</td>\n    <td class=\"tg-0pky\">Senior Program Analyst</td>\n    <td class=\"tg-0pky\">stephanie.garcia@hhs.gov</td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Brittney Boakye, MPH</td>\n    <td class=\"tg-0pky\">Program Assistant <br>Scientific Advancement Branch</td>\n    <td class=\"tg-0pky\">brittney.boakye@hhs.gov<br></td>\n  </tr>\n  <tr>\n    <td class=\"tg-0pky\">Alan Taylor</td>\n    <td class=\"tg-0pky\">Medical Informatics Officer, Standards and Terminology</td>\n    <td class=\"tg-0pky\">albert.taylor@hhs.gov</td>\n  </tr>\n</tbody>\n</table>\n\n### Acknowledgements\nThis guide was developed and produced through the efforts of Health Level Seven (HL7) and created using the Trifolia-on-FHIR tool, provided by Lantana Consulting Group. The HL7 Project Insight reference number for this project is 1736.\nThe editors appreciate the support and sponsorship of the HL7 Public Health Workgroup, and all volunteers and staff associated with the creation of this document. This guide would not have been possible without the support of the following groups.\nHealth Level Seven, HL7, CDA, CCD, FHIR and the [FLAME DESIGN] are registered trademarks of Health Level Seven International, registered in the US Trademark Office.\n\nThis IG includes content from SNOMED CT, which is copyright © 2002+ International Health Terminology Standards Development Organisation (IHTSDO), and distributed by agreement between IHTSDO and HL7. Implementer use of SNOMED CT is not covered by this agreement.\n\nThis material contains content from [LOINC](http://loinc.org). LOINC is copyright © 1995-2021, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee and is available at no cost under the license at https://loinc.org/kb/license/. LOINC® is a registered United States trademark of Regenstrief Institute, Inc. (built Wed, Mar 29, 2023 19:33+0000+00:00)"},{"name":"hl7.fhir.us.military-service.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/military-service","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.military-service.r4-1.0.0.tgz","date":"2025-10-29T00:11:41.000Z","description":"Military Service History and Status is an implementation guide for military service history and veteran status verification/confirmation. (built Tue, May 30, 2023 15:08+0000+00:00)"},{"name":"hl7.fhir.us.military-service.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/military-service","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.military-service.r4b-1.0.0.tgz","date":"2025-10-29T00:11:43.000Z","description":"Military Service History and Status is an implementation guide for military service history and veteran status verification/confirmation. (built Tue, May 30, 2023 15:08+0000+00:00)"},{"name":"hl7.fhir.us.ndh.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/ndh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ndh.r4-1.0.0.tgz","date":"2025-10-29T00:11:55.000Z"},{"name":"hl7.fhir.us.ndh.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/ndh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ndh.r4b-1.0.0.tgz","date":"2025-10-29T00:11:59.000Z"},{"name":"hl7.fhir.us.nhsn-dqm.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/nhsn-dqm","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.nhsn-dqm.r4-1.0.0.tgz","date":"2025-10-29T00:12:05.000Z","description":"This content describes the specifications for the for the Health Level Seven International® (HL7) Fast Healthcare Interoperability Resources® (FHIR) digital quality measures (dQMs) reported to the National Healthcare Safety Network (NHSN). (built Wed, Jul 9, 2025 20:38+0000+00:00)"},{"name":"hl7.fhir.us.nhsn-dqm.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/nhsn-dqm","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.nhsn-dqm.r4b-1.0.0.tgz","date":"2025-10-29T00:12:10.000Z","description":"This content describes the specifications for the for the Health Level Seven International® (HL7) Fast Healthcare Interoperability Resources® (FHIR) digital quality measures (dQMs) reported to the National Healthcare Safety Network (NHSN). (built Wed, Jul 9, 2025 20:38+0000+00:00)"},{"name":"hl7.fhir.us.odh.r4","version":"1.3.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/odh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.odh.r4-1.3.0.tgz","date":"2025-10-29T00:12:13.000Z","description":"**HL7 FHIR Profile: Occupational Data for Health (ODH), Release 1.3 (Standard for Trial Use)**\n\nThis Implementation Guide is a reconciled version, containing changes in response to comments received in the Sept. 2018 ballot. It has been updated to FHIR R4.0.1.\n\n**Introduction and Guidance**\n\nThis Implementation Guide (IG) contains profiles to implement support for Occupational Data for Health (ODH). ODH describes structured work information primarily designed to facilitate clinical care, including population health and value-based care. ODH also can be used to support public health reporting. ODH is not designed to support billing activities. \nThis set of FHIR profiles is specified as a composition resource, but it is not intended to be used as a stand-alone composition. Rather, the desired content should be included in broader IGs and available as a response to requests for ODH information. Some use cases may leverage only a subset of the ODH profiles, and these should be specified within those work products. For instance, in the Vital Records Death Reporting (VRDR) IG, the data requirements for work information are limited to  those in the Usual Work profile.\nWhile this profile is specified for the US Realm, the design is intended to also support international needs. Three of the referenced value sets—Occupation, Industry, and Supervisory Level— are necessarily US specific. The remaining three value sets—Work Schedule, Employment Status, and Work Classification—use international concepts. Input is requested regarding whether these should be specified as ‘extensible’, ‘required’ (using ‘text only’ where a concept does not yet exist such as a new occupation), or as an ‘example’ for those US specific concepts.\n\n**Background**\n\nThe majority of adults in the U.S. spend more than half their waking hours at work. Therefore, health and work are inextricably inter-related. For example, the management of chronic conditions requires taking the patient’s work environment into consideration. Work-related conditions are often first brought to the attention of a primary care provider. Some conditions related to exposure to hazards in the workplace can have a long latency, requiring knowledge of a person’s work history for recognition, diagnosis, and treatment. The recognition of new conditions related to previously unknown workplace hazards has often come from astute clinicians, which requires knowledge of the patient’s work. ONC has indicated recognition of the value of work information for health care.\nThe incorporation of ODH into Electronic Health Records (EHRs) and other health IT systems presents an opportunity to improve health in relation to work. ODH provides a structure and standardization for work information that can be used across systems to take advantage of system tools for clinical decision support, population health, and public health. Research has been conducted and guidance is available to support clinicians, and the use of ODH by health IT systems can support identification of patients that would benefit the most from this knowledge.\n\n**Scope**\n\nThe Occupational Data for Health (ODH) FHIR IG covers information about a patient’s work, including some voluntary work, or a patient’s household members’ work. ODH is designed for the social history section of a medical record, to facilitate clinical care in multiple disciplines and delivery environments. ODH can be used for clinical decision support, population health activities and value-based care, and public health reporting. The scope of the work information in ODH includes:\n\n• Employment Status\n\n• Retirement Date\n\n• Combat Zone Period\n\n• Past or Present Job for the patient or a household member, which includes:\n  \n  o Past or Present Job Occupation\n  \n  o Past or Present Job Industry\n  \n  o Work Classification\n  \n  o Work Schedule, which includes:\n    \n    - Weekly Work Days\n    \n    - Daily Work Hours\n  \n  o Job Duty\n  \n  o Occupational Hazard\n  \n  o Employer name\n  \n  o Employer address\n  \n  o Related Subject (when it is Past or Present Job of a household member of the person)\n  \n  o Start/End Dates\n\n• Usual Work of the patient or a household member, which includes:\n  \n  o Usual Occupation\n  \n  o Usual Industry\n  \n  o Usual Occupation Duration\n  \n  o Related Subject (when it is Usual Work of a household member of the person)\n  \n  o Start Date\n\n**Known Issues and Limitations**\n\nThis IG includes more extensive occupational data than typically collected in current systems. The content and structure of this IG is intended to inform clinical care, support population health, and contribute to public health activities. While there may be some overlap with administrative and billing information maintained by some systems, the information in this IG is not designed to support billing and administrative needs.\nWhile multiple retirement dates are supported, the retirement date is not linked to any specific job, or usual occupation.\n\n**Credits**\n\nCo-Editor:\nLori Reed-Fourquet\ne-HealthSign, LLC\nlfourquet@ehealthsign.com\n\nCo-Editor:\nRob Hausam\nHausam Consulting\nrob@hausamconsulting.com\n\nCo-Editor:\nMark Kramer\nMITRE Corporation\nmkramer@mitre.org\n\nThis set of FHIR profiles was produced and developed through the efforts of a project of the National Institute of Occupational Safety and Health (NIOSH), the U.S. federal agency responsible for conducting research and making recommendations for the prevention of work-related injury and illness. NIOSH is a part of the U.S. Centers for Disease Control and Prevention (CDC). NIOSH consulted stakeholders in clinical care, public health, health IT, health informatics and  U.S. government agencies to develop ODH. The HL7® Public Health and Emergency Response Work Group sponsored development of this set of FHIR profiles. Co-sponsoring HL7® Work Groups were Orders and Observations (OO), Patient Administration (PA), and Clinical Quality Initiative (CQI).\nThe following individuals provided subject matter expertise for this set of FHIR profiles: Genevieve Barkocy Luensman, NIOSH; Eileen Storey, Professional Services Partners, formerly NIOSH; Margaret S. Filios, NIOSH; Christina Socias-Morales, NIOSH; Lauren Brewer, NIOSH; Barbara Wallace, Professional Services Partners.\n\n**Authors**\n\nName Email/URL\nHL7 International - Public Health http://www.hl7.org/Special/committees/pher (built Mon, Mar 27, 2023 09:54+1100+11:00)"},{"name":"hl7.fhir.us.odh.r4b","version":"1.3.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/odh","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.odh.r4b-1.3.0.tgz","date":"2025-10-29T00:12:14.000Z","description":"**HL7 FHIR Profile: Occupational Data for Health (ODH), Release 1.3 (Standard for Trial Use)**\n\nThis Implementation Guide is a reconciled version, containing changes in response to comments received in the Sept. 2018 ballot. It has been updated to FHIR R4.0.1.\n\n**Introduction and Guidance**\n\nThis Implementation Guide (IG) contains profiles to implement support for Occupational Data for Health (ODH). ODH describes structured work information primarily designed to facilitate clinical care, including population health and value-based care. ODH also can be used to support public health reporting. ODH is not designed to support billing activities. \nThis set of FHIR profiles is specified as a composition resource, but it is not intended to be used as a stand-alone composition. Rather, the desired content should be included in broader IGs and available as a response to requests for ODH information. Some use cases may leverage only a subset of the ODH profiles, and these should be specified within those work products. For instance, in the Vital Records Death Reporting (VRDR) IG, the data requirements for work information are limited to  those in the Usual Work profile.\nWhile this profile is specified for the US Realm, the design is intended to also support international needs. Three of the referenced value sets—Occupation, Industry, and Supervisory Level— are necessarily US specific. The remaining three value sets—Work Schedule, Employment Status, and Work Classification—use international concepts. Input is requested regarding whether these should be specified as ‘extensible’, ‘required’ (using ‘text only’ where a concept does not yet exist such as a new occupation), or as an ‘example’ for those US specific concepts.\n\n**Background**\n\nThe majority of adults in the U.S. spend more than half their waking hours at work. Therefore, health and work are inextricably inter-related. For example, the management of chronic conditions requires taking the patient’s work environment into consideration. Work-related conditions are often first brought to the attention of a primary care provider. Some conditions related to exposure to hazards in the workplace can have a long latency, requiring knowledge of a person’s work history for recognition, diagnosis, and treatment. The recognition of new conditions related to previously unknown workplace hazards has often come from astute clinicians, which requires knowledge of the patient’s work. ONC has indicated recognition of the value of work information for health care.\nThe incorporation of ODH into Electronic Health Records (EHRs) and other health IT systems presents an opportunity to improve health in relation to work. ODH provides a structure and standardization for work information that can be used across systems to take advantage of system tools for clinical decision support, population health, and public health. Research has been conducted and guidance is available to support clinicians, and the use of ODH by health IT systems can support identification of patients that would benefit the most from this knowledge.\n\n**Scope**\n\nThe Occupational Data for Health (ODH) FHIR IG covers information about a patient’s work, including some voluntary work, or a patient’s household members’ work. ODH is designed for the social history section of a medical record, to facilitate clinical care in multiple disciplines and delivery environments. ODH can be used for clinical decision support, population health activities and value-based care, and public health reporting. The scope of the work information in ODH includes:\n\n• Employment Status\n\n• Retirement Date\n\n• Combat Zone Period\n\n• Past or Present Job for the patient or a household member, which includes:\n  \n  o Past or Present Job Occupation\n  \n  o Past or Present Job Industry\n  \n  o Work Classification\n  \n  o Work Schedule, which includes:\n    \n    - Weekly Work Days\n    \n    - Daily Work Hours\n  \n  o Job Duty\n  \n  o Occupational Hazard\n  \n  o Employer name\n  \n  o Employer address\n  \n  o Related Subject (when it is Past or Present Job of a household member of the person)\n  \n  o Start/End Dates\n\n• Usual Work of the patient or a household member, which includes:\n  \n  o Usual Occupation\n  \n  o Usual Industry\n  \n  o Usual Occupation Duration\n  \n  o Related Subject (when it is Usual Work of a household member of the person)\n  \n  o Start Date\n\n**Known Issues and Limitations**\n\nThis IG includes more extensive occupational data than typically collected in current systems. The content and structure of this IG is intended to inform clinical care, support population health, and contribute to public health activities. While there may be some overlap with administrative and billing information maintained by some systems, the information in this IG is not designed to support billing and administrative needs.\nWhile multiple retirement dates are supported, the retirement date is not linked to any specific job, or usual occupation.\n\n**Credits**\n\nCo-Editor:\nLori Reed-Fourquet\ne-HealthSign, LLC\nlfourquet@ehealthsign.com\n\nCo-Editor:\nRob Hausam\nHausam Consulting\nrob@hausamconsulting.com\n\nCo-Editor:\nMark Kramer\nMITRE Corporation\nmkramer@mitre.org\n\nThis set of FHIR profiles was produced and developed through the efforts of a project of the National Institute of Occupational Safety and Health (NIOSH), the U.S. federal agency responsible for conducting research and making recommendations for the prevention of work-related injury and illness. NIOSH is a part of the U.S. Centers for Disease Control and Prevention (CDC). NIOSH consulted stakeholders in clinical care, public health, health IT, health informatics and  U.S. government agencies to develop ODH. The HL7® Public Health and Emergency Response Work Group sponsored development of this set of FHIR profiles. Co-sponsoring HL7® Work Groups were Orders and Observations (OO), Patient Administration (PA), and Clinical Quality Initiative (CQI).\nThe following individuals provided subject matter expertise for this set of FHIR profiles: Genevieve Barkocy Luensman, NIOSH; Eileen Storey, Professional Services Partners, formerly NIOSH; Margaret S. Filios, NIOSH; Christina Socias-Morales, NIOSH; Lauren Brewer, NIOSH; Barbara Wallace, Professional Services Partners.\n\n**Authors**\n\nName Email/URL\nHL7 International - Public Health http://www.hl7.org/Special/committees/pher (built Mon, Mar 27, 2023 09:54+1100+11:00)"},{"name":"hl7.fhir.us.pacio-adi.r4","version":"2.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-adi","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-adi.r4-2.0.0-ballot.tgz","date":"2025-10-29T00:12:18.000Z","description":"PACIO Advance Directive Interoperability Implementation Guide (built Mon, Aug 4, 2025 21:33+0000+00:00)"},{"name":"hl7.fhir.us.pacio-adi.r4b","version":"2.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/pacio-adi","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-adi.r4b-2.0.0-ballot.tgz","date":"2025-10-29T00:12:25.000Z","description":"PACIO Advance Directive Interoperability Implementation Guide (built Mon, Aug 4, 2025 21:33+0000+00:00)"},{"name":"hl7.fhir.us.pacio-pfe.r4","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-pfe","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-pfe.r4-2.0.0.tgz","date":"2025-10-29T00:12:34.000Z","description":"FHIR Implementation Guide to exchange assessments of and data on a person's functioning, including body functions, activities, and participation, between post-acute care (PAC) and other providers, patients, and key stakeholders (built Wed, Jul 23, 2025 17:23+0000+00:00)"},{"name":"hl7.fhir.us.pacio-pfe.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/pacio-pfe","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-pfe.r4b-2.0.0.tgz","date":"2025-10-29T00:12:41.000Z","description":"FHIR Implementation Guide to exchange assessments of and data on a person's functioning, including body functions, activities, and participation, between post-acute care (PAC) and other providers, patients, and key stakeholders (built Wed, Jul 23, 2025 17:23+0000+00:00)"},{"name":"hl7.fhir.us.pacio-toc.r4","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pacio-toc","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-toc.r4-1.0.0-ballot.tgz","date":"2025-10-29T00:12:44.000Z","description":"Implementation Guide for exchanging Transitions of Care minimum data set for patients transitioning between health organizations. (built Fri, Mar 28, 2025 13:46+0000+00:00)"},{"name":"hl7.fhir.us.pacio-toc.r4b","version":"1.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/pacio-toc","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pacio-toc.r4b-1.0.0-ballot.tgz","date":"2025-10-29T00:12:51.000Z","description":"Implementation Guide for exchanging Transitions of Care minimum data set for patients transitioning between health organizations. (built Fri, Mar 28, 2025 13:46+0000+00:00)"},{"name":"hl7.fhir.us.pco.r4","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pco","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pco.r4-1.0.0-ballot.tgz","date":"2025-10-29T00:12:55.000Z","description":"Person-Centered Outcomes (PCO) FHIR Implementation Guide (built Fri, Mar 28, 2025 21:02+0000+00:00)"},{"name":"hl7.fhir.us.pco.r4b","version":"1.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/pco","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pco.r4b-1.0.0-ballot.tgz","date":"2025-10-29T00:12:57.000Z","description":"Person-Centered Outcomes (PCO) FHIR Implementation Guide (built Fri, Mar 28, 2025 21:02+0000+00:00)"},{"name":"hl7.fhir.us.pdmp.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/pdmp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pdmp.r4-1.0.0.tgz","date":"2025-10-29T00:13:01.000Z","description":"US Prescription Drug Monitoring Program (PDMP) FHIR IG (built Tue, Oct 15, 2024 18:35+0000+00:00)"},{"name":"hl7.fhir.us.pdmp.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/pdmp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.pdmp.r4b-1.0.0.tgz","date":"2025-10-29T00:13:05.000Z","description":"US Prescription Drug Monitoring Program (PDMP) FHIR IG (built Tue, Oct 15, 2024 18:35+0000+00:00)"},{"name":"hl7.fhir.us.ph-library.r4","version":"2.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/ph-library","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ph-library.r4-2.0.0-ballot.tgz","date":"2025-10-29T00:13:11.000Z","description":"The US Public Health Profiles Library (USPHPL) is a collection of reusable architecture and content profiles representing common public health concepts and patterns. (built Wed, Jul 30, 2025 14:31+0000+00:00)"},{"name":"hl7.fhir.us.ph-library.r4b","version":"2.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/ph-library","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.ph-library.r4b-2.0.0-ballot.tgz","date":"2025-10-29T00:13:16.000Z","description":"The US Public Health Profiles Library (USPHPL) is a collection of reusable architecture and content profiles representing common public health concepts and patterns. (built Wed, Jul 30, 2025 14:31+0000+00:00)"},{"name":"hl7.fhir.us.physical-activity.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/physical-activity","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.physical-activity.r4-1.0.0.tgz","date":"2025-10-29T00:13:22.000Z","description":"This implementation guide provides standardization around patient physical activity, including:&#x0a;* measures for recording a patient's level of physical activity;&#x0a;* measures to support assertions of physical activity, including device-based measures;&#x0a;* goals and care plans related to improving a patient's physical activity level;&#x0a;* orders for interventions seeking to improve a patient's physical activity level; and&#x0a;* processes to support closing the loop and evaluating the success of such interventions. (built Fri, Aug 25, 2023 15:58+0000+00:00)"},{"name":"hl7.fhir.us.physical-activity.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/physical-activity","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.physical-activity.r4b-1.0.0.tgz","date":"2025-10-29T00:13:27.000Z","description":"This implementation guide provides standardization around patient physical activity, including:&#x0a;* measures for recording a patient's level of physical activity;&#x0a;* measures to support assertions of physical activity, including device-based measures;&#x0a;* goals and care plans related to improving a patient's physical activity level;&#x0a;* orders for interventions seeking to improve a patient's physical activity level; and&#x0a;* processes to support closing the loop and evaluating the success of such interventions. (built Fri, Aug 25, 2023 15:58+0000+00:00)"},{"name":"hl7.fhir.us.qicore.r4","version":"8.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/qicore","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.qicore.r4-8.0.0-ballot.tgz","date":"2025-10-29T00:13:45.000Z","description":"The QICore Implementation Guide defines a set of FHIR profiles with extensions and bindings needed to create interoperable, quality-focused applications. The profiles in this implementation guide derive from and extend the [US Core](http://hl7.org/fhir/us/core) profiles to provide a common foundation for building, sharing, and evaluating knowledge artifacts across quality improvement efforts in the US Realm. (built Fri, Aug 1, 2025 15:30+0000+00:00)"},{"name":"hl7.fhir.us.qicore.r4b","version":"8.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/qicore","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.qicore.r4b-8.0.0-ballot.tgz","date":"2025-10-29T00:13:57.000Z","description":"The QICore Implementation Guide defines a set of FHIR profiles with extensions and bindings needed to create interoperable, quality-focused applications. The profiles in this implementation guide derive from and extend the [US Core](http://hl7.org/fhir/us/core) profiles to provide a common foundation for building, sharing, and evaluating knowledge artifacts across quality improvement efforts in the US Realm. (built Fri, Aug 1, 2025 15:30+0000+00:00)"},{"name":"hl7.fhir.us.registry-protocols.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/registry-protocols","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.registry-protocols.r4-1.0.0.tgz","date":"2025-10-29T00:14:05.000Z","description":"The IG demonstrates a process and workflow to support the needs of clinical registries to define how registry submissions can be automatically extracted from multiple data sources and combined into a registry submission. (built Tue, Nov 14, 2023 18:48+0000+00:00)"},{"name":"hl7.fhir.us.registry-protocols.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/registry-protocols","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.registry-protocols.r4b-1.0.0.tgz","date":"2025-10-29T00:14:16.000Z","description":"The IG demonstrates a process and workflow to support the needs of clinical registries to define how registry submissions can be automatically extracted from multiple data sources and combined into a registry submission. (built Tue, Nov 14, 2023 18:48+0000+00:00)"},{"name":"hl7.fhir.us.resp-net.r4","version":"2.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/resp-net","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.resp-net.r4-2.0.0-ballot.tgz","date":"2025-10-29T00:14:22.000Z","description":"The RESP-NET Content IG focuses on the respiratory virus surveillance data that will be extracted from EHRs via FHIR and APIs and sent to RESP-NET sites. (built Mon, Aug 4, 2025 13:36+0000+00:00)"},{"name":"hl7.fhir.us.resp-net.r4b","version":"2.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/resp-net","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.resp-net.r4b-2.0.0-ballot.tgz","date":"2025-10-29T00:14:27.000Z","description":"The RESP-NET Content IG focuses on the respiratory virus surveillance data that will be extracted from EHRs via FHIR and APIs and sent to RESP-NET sites. (built Mon, Aug 4, 2025 13:36+0000+00:00)"},{"name":"hl7.fhir.us.safr.r4","version":"1.0.0-ballot","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/safr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.safr.r4-1.0.0-ballot.tgz","date":"2025-10-29T00:14:30.000Z","description":"US Situational Awareness Framework for Reporting (US SAFR) (built Fri, Mar 28, 2025 19:37+0000+00:00)"},{"name":"hl7.fhir.us.safr.r4b","version":"1.0.0-ballot","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/safr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.safr.r4b-1.0.0-ballot.tgz","date":"2025-10-29T00:14:31.000Z","description":"US Situational Awareness Framework for Reporting (US SAFR) (built Fri, Mar 28, 2025 19:37+0000+00:00)"},{"name":"hl7.fhir.us.sdoh-clinicalcare.r4","version":"2.3.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/sdoh-clinicalcare","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.sdoh-clinicalcare.r4-2.3.0.tgz","date":"2025-10-29T00:14:47.000Z","description":"This HL7 Implementation Guide (IG) defines how to exchange Social Determinants of Health (SDOH) content defined by the Gravity Project using the HL7 FHIR standard.. 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(built Fri, May 16, 2025 20:17+0000+00:00)"},{"name":"hl7.fhir.us.smp.r4b","version":"1.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/smp","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.smp.r4b-1.0.0.tgz","date":"2025-10-29T00:15:10.000Z","description":"Guidelines for conveying coverage requirements to clinicians when planning treatment. (built Fri, May 16, 2025 20:17+0000+00:00)"},{"name":"hl7.fhir.us.specialty-rx.r4","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/specialty-rx","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.specialty-rx.r4-2.0.0.tgz","date":"2025-10-29T00:15:12.000Z","description":"This implementation guide describes the exchange of information needed to dispense specialty medications and enroll patients in associated programs offered by pharmaceutical manufacturers and others. (built Thu, May 4, 2023 14:33+0000+00:00)"},{"name":"hl7.fhir.us.specialty-rx.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/specialty-rx","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.specialty-rx.r4b-2.0.0.tgz","date":"2025-10-29T00:15:14.000Z","description":"This implementation guide describes the exchange of information needed to dispense specialty medications and enroll patients in associated programs offered by pharmaceutical manufacturers and others. 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(built Tue, Dec 17, 2024 15:02+0000+00:00)"},{"name":"hl7.fhir.us.vr-common-library.r4","version":"2.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/vr-common-library","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vr-common-library.r4-2.0.0.tgz","date":"2025-10-29T00:15:43.000Z"},{"name":"hl7.fhir.us.vr-common-library.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/vr-common-library","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vr-common-library.r4b-2.0.0.tgz","date":"2025-10-29T00:15:47.000Z"},{"name":"hl7.fhir.us.vrdr.r4","version":"3.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/us/vrdr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vrdr.r4-3.0.0.tgz","date":"2025-10-29T00:16:04.000Z"},{"name":"hl7.fhir.us.vrdr.r4b","version":"3.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/us/vrdr","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.us.vrdr.r4b-3.0.0.tgz","date":"2025-10-29T00:16:15.000Z"},{"name":"hl7.fhir.uv.ae-research-backport-ig.r4","version":"1.0.1","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/ae-research-backport-ig","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.ae-research-backport-ig.r4-1.0.1.tgz","date":"2025-10-29T00:16:25.000Z","description":"### Intent The intent of this guide is to provide a profile on the FHIR AdverseEvent Resource suitable for Clinical Research.  ### Overview A single Adverse Event (AE) may need to be reported in multiple ways. Choosing the appropriate form of the reporting is dependent upon workflow patterns. In particular, the implementation guides for Clinical Care adverse events and Clinical Research adverse events provide important extensions, value-sets and examples for implementing AdverseEvent.  This guide, the Clinical Research adverse event implementation guide, is for the clinical research setting. In this setting, the event is tracked and evaluated as part of the clinical research process for the research study.  In the research setting an adverse event is the result of an intervention that caused unintentional harm to a specific subject or group of subjects (this is surfaced in the profile as a constraint of ‘actual’ for the value of ‘actuality’). An example of an adverse event in the clinical research setting would be a patient develops renal failure while on a study drug. These events are characterized by the need to capture cause-and-effect (although they might not be known at the time of the event), severity, and outcome.  The context of an adverse event is also important, and captured in the AdverseEvent Clinical Research Profile data elements. A subject may have condition(s) or current treatments (medications, diet, devices) that impact their response to a newly introduced medication, device or procedure. Knowledge of these variables is essential in establishing a cause-and-effect relationship for an adverse event. This information is represented with corresponding resources (e.g. Procedure Resource for procedures, etc.) and referenced.  A potential adverse event may also be called a near miss or an error, these are not reported with the AdverseEvent Clinical Research Profile.  ### Scope This FHIR IG enables the collection of adverse events in real-world data (RWD) sources such as electronic health records (EHR) and personal health records (PHR) that occur during clinical trials. It ensures the appropriate AE representation required to support clinical research trials within a regulated environment. As the AEs are collected in RWD sources, the data can be transmitted via FHIR to clinical trial management systems, regulatory agencies, sponsors, and clinical research organizations for further processing and reporting.  In the pre-market clinical research setting, serious adverse events must be reported to the sponsor, clinical research organization, and regulatory agencies within a specific time frame for Institutional Review Boards (IRBs) and Data Safety Monitoring Board (DSMB) review. By using this IG, a clinical investigator can document an AE in the EHR, it can be received by a secondary clinical trial management system for triage and then forwarded to the sponsor and regulatory agencies. Similarly, a patient on a clinical trial can record an adverse event in their PHR that is then shared with the clinical investigator and reported to the sponsor and regulatory agencies as necessary. In a post-market situation, a patient, provider, or manufacturer can record the adverse event in a system and then report it to the FDA as a FHIR based MedWatch form.  Within this guide are several examples. Every effort has been made to capture the most important details of the use of the AdverseEvent profile. However, some examples may provide only a stub to referenced resources (e.g. instances of Patient Resource will be referenced using logical ids but are not resolvable, implementation of Patient is left for other guidance and is not the subject of this guide). Connectathons are ideal opportunities to create, compare and consider the holistic implementation of all FHIR Resources. (built Tue, Apr 30, 2024 20:50+0000+00:00)"},{"name":"hl7.fhir.uv.ae-research-backport-ig.r4b","version":"1.0.1","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/uv/ae-research-backport-ig","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.ae-research-backport-ig.r4b-1.0.1.tgz","date":"2025-10-29T00:16:28.000Z","description":"### Intent The intent of this guide is to provide a profile on the FHIR AdverseEvent Resource suitable for Clinical Research.  ### Overview A single Adverse Event (AE) may need to be reported in multiple ways. Choosing the appropriate form of the reporting is dependent upon workflow patterns. In particular, the implementation guides for Clinical Care adverse events and Clinical Research adverse events provide important extensions, value-sets and examples for implementing AdverseEvent.  This guide, the Clinical Research adverse event implementation guide, is for the clinical research setting. In this setting, the event is tracked and evaluated as part of the clinical research process for the research study.  In the research setting an adverse event is the result of an intervention that caused unintentional harm to a specific subject or group of subjects (this is surfaced in the profile as a constraint of ‘actual’ for the value of ‘actuality’). An example of an adverse event in the clinical research setting would be a patient develops renal failure while on a study drug. These events are characterized by the need to capture cause-and-effect (although they might not be known at the time of the event), severity, and outcome.  The context of an adverse event is also important, and captured in the AdverseEvent Clinical Research Profile data elements. A subject may have condition(s) or current treatments (medications, diet, devices) that impact their response to a newly introduced medication, device or procedure. Knowledge of these variables is essential in establishing a cause-and-effect relationship for an adverse event. This information is represented with corresponding resources (e.g. Procedure Resource for procedures, etc.) and referenced.  A potential adverse event may also be called a near miss or an error, these are not reported with the AdverseEvent Clinical Research Profile.  ### Scope This FHIR IG enables the collection of adverse events in real-world data (RWD) sources such as electronic health records (EHR) and personal health records (PHR) that occur during clinical trials. It ensures the appropriate AE representation required to support clinical research trials within a regulated environment. As the AEs are collected in RWD sources, the data can be transmitted via FHIR to clinical trial management systems, regulatory agencies, sponsors, and clinical research organizations for further processing and reporting.  In the pre-market clinical research setting, serious adverse events must be reported to the sponsor, clinical research organization, and regulatory agencies within a specific time frame for Institutional Review Boards (IRBs) and Data Safety Monitoring Board (DSMB) review. By using this IG, a clinical investigator can document an AE in the EHR, it can be received by a secondary clinical trial management system for triage and then forwarded to the sponsor and regulatory agencies. Similarly, a patient on a clinical trial can record an adverse event in their PHR that is then shared with the clinical investigator and reported to the sponsor and regulatory agencies as necessary. In a post-market situation, a patient, provider, or manufacturer can record the adverse event in a system and then report it to the FDA as a FHIR based MedWatch form.  Within this guide are several examples. Every effort has been made to capture the most important details of the use of the AdverseEvent profile. However, some examples may provide only a stub to referenced resources (e.g. instances of Patient Resource will be referenced using logical ids but are not resolvable, implementation of Patient is left for other guidance and is not the subject of this guide). Connectathons are ideal opportunities to create, compare and consider the holistic implementation of all FHIR Resources. 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(built Tue, Jul 8, 2025 14:56+0000+00:00)"},{"name":"hl7.fhir.uv.cql.r4b","version":"2.0.0","fhirVersion":"4.3.0","canonical":"http://hl7.org/fhir/uv/cql","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cql.r4b-2.0.0.tgz","date":"2025-10-29T00:17:49.000Z","description":"This implementation guide defines profiles, operations and guidance for the use of CQL with FHIR, both as a mechanism for querying, as well as inline and integrated usage as part of knowledge artifacts. (built Tue, Jul 8, 2025 14:56+0000+00:00)"},{"name":"hl7.fhir.uv.cqm.r4","version":"1.0.0","fhirVersion":"4.0.1","canonical":"http://hl7.org/fhir/uv/cqm","kind":"fhir.ig","url":"https://packages2.fhir.org/web/hl7.fhir.uv.cqm.r4-1.0.0.tgz","date":"2025-10-29T00:17:56.000Z","description":"The Fast Healthcare Interoperability Resource (FHIR) Quality Measure Implementation Guide (this IG) describes an approach to representing Quality Measures (QMs) using the FHIR Clinical Reasoning Module and Clinical Quality Language (CQL) in the US Realm. However, this Implementation Guide can be usable for multiple use cases across domains, and much of the content is likely to be usable outside the US Realm. 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