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      "url" : "https://packages2.fhir.org/packages/de.gecco/1.0.5"
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      "name" : "UK.NHSDigital.BARS.R4",
      "date" : "2021-10-06T13:19:30-00:00",
      "version" : "0.1.0-test",
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      "count" : "482",
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      "description" : "NHS Booking and Referrals",
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      "kind" : "??kind (0)",
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      "name" : "LogicNets.NCCN",
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      "count" : "470",
      "canonical" : "http://simplifier.net/packages/fictitious/LogicNets.NCCN",
      "description" : "LogicNets FHIR Projects",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/LogicNets.NCCN/0.8.1"
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      "name" : "ANS.annuaire.fhir.r4",
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      "count" : "582",
      "canonical" : "http://simplifier.net/packages/fictitious/ANS.annuaire.fhir.r4",
      "description" : "Description de la structure des données d'identification des acteurs de santé exposées par les nouveaux services Annuaire Santé d'interrogation FHIR de l'Agence du Numérique en Santé (ANS). ",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/ANS.annuaire.fhir.r4/0.2.0"
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      "name" : "Behandlungsdokumentation0.10",
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      "count" : "707",
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      "description" : "Behandlungs- und Pflegedokumentation",
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      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/Behandlungsdokumentation0.10/0.1.0"
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    {
      "name" : "ehealthplatform.be.r4.federalprofiles",
      "date" : "2021-10-27T10:07:15-00:00",
      "version" : "1.3.3-beta",
      "fhirVersion" : "R4",
      "count" : "46603",
      "canonical" : "https://www.ehealth.fgov.be/standards/fhir",
      "description" : "eHealth Platform R4 Federal Profiles",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/ehealthplatform.be.r4.federalprofiles/1.3.3-beta"
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    {
      "name" : "ca.on.patient-summary",
      "date" : "2021-11-04T23:39:45-00:00",
      "version" : "0.0.1-alpha",
      "fhirVersion" : "R4",
      "count" : "438",
      "canonical" : "http://simplifier.net/packages/fictitious/ca.on.patient-summary",
      "description" : "Ontario Patient Summary",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/ca.on.patient-summary/0.0.1-alpha"
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      "version" : "4.0.2",
      "fhirVersion" : "R4",
      "count" : "1544",
      "canonical" : "http://profiles.ihe.net/ITI/MHD",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/ihe.mhd.fhir/4.0.2"
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    {
      "name" : "qurasoft.saniq",
      "date" : "2021-11-08T13:34:18-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "472",
      "canonical" : "http://simplifier.net/packages/fictitious/qurasoft.saniq",
      "description" : "SaniQ",
      "security" : "none",
      "kind" : "??kind (0)",
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      "name" : "IHE.ITI.PDQm",
      "date" : "2021-11-09T06:02:08-00:00",
      "version" : "2.3.0",
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      "count" : "1471",
      "canonical" : "https://profiles.ihe.net/ITI/PDQm",
      "description" : "The Patient Demographics Query for Mobile (PDQm) Profile defines a lightweight RESTful interface to a patient demographics supplier leveraging technologies readily available to mobile applications and lightweight browser based applications. (built Mon, Nov 8, 2021 19:29-0600-06:00)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/IHE.ITI.PDQm/2.3.0"
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      "name" : "IHE.ITI.PIXm",
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      "fhirVersion" : "R4",
      "count" : "1343",
      "canonical" : "http://profiles.ihe.net/ITI/PIXm",
      "description" : "ImplementationGuide for IHE IT Infrastructure Technical Framework Supplement Patient Identifier Cross-referencing for mobile (PIXm) (built Mon, Nov 8, 2021 19:37-0600-06:00)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/IHE.ITI.PIXm/3.0.0"
    },
    {
      "name" : "dvmd.kdl.r4.2021",
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      "count" : "911",
      "canonical" : "http://simplifier.net/packages/fictitious/dvmd.kdl.r4.2021",
      "description" : "Publikation der Terminologie-Ressourcen für die Nutzung der Klinische Dokumentenklassen-Liste (KDL) des DVMD\r\nVersion 2020",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/dvmd.kdl.r4.2021/2021.1.1"
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      "name" : "fhir.cqf.common",
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      "fhirVersion" : "R4",
      "count" : "846",
      "canonical" : "http://fhir.org/guides/cqf/common",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/fhir.cqf.common/4.0.1"
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      "name" : "Berkay.Sandbox",
      "date" : "2021-11-15T10:48:17-00:00",
      "version" : "0.0.1",
      "fhirVersion" : "R4",
      "count" : "877",
      "canonical" : "http://simplifier.net/packages/fictitious/Berkay.Sandbox",
      "description" : "Dies ist Berkay's Sandbox",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/Berkay.Sandbox/0.0.1"
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      "name" : "Touchstone-ereferralontario.core",
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      "version" : "0.1.0-beta",
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      "count" : "474",
      "canonical" : "http://simplifier.net/packages/fictitious/Touchstone-ereferralontario.core",
      "description" : "Ontario-specific business use cases and content",
      "security" : "none",
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      "name" : "touchstone-ereferralontario.core",
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      "version" : "0.1.1-beta",
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      "count" : "470",
      "canonical" : "http://simplifier.net/packages/fictitious/touchstone-ereferralontario.core",
      "description" : "Ontario-specific business use cases and content",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/touchstone-ereferralontario.core/0.1.1-beta"
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      "name" : "de.diga.caracare",
      "date" : "2021-11-24T18:44:45-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "471",
      "canonical" : "http://simplifier.net/packages/fictitious/de.diga.caracare",
      "description" : "Spezifikationen für DiGas zur digitalen Behandlung von Verdauungserkrankungen",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/de.diga.caracare/1.0.0"
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    {
      "name" : "fhir.cdc.opioid-mme-r4",
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      "fhirVersion" : "R4",
      "count" : "528",
      "canonical" : "http://fhir.org/guides/cdc/opioid-mme-r4",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/fhir.cdc.opioid-mme-r4/3.0.0"
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    {
      "name" : "hl7.fhir.us.dental-data-exchange",
      "date" : "2021-11-26T00:00:21-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "1103",
      "canonical" : "http://hl7.org/fhir/us/dental-data-exchange",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.dental-data-exchange/1.0.0"
    },
    {
      "name" : "hl7.fhir.us.nhsn-ade",
      "date" : "2021-11-26T00:00:23-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "904",
      "canonical" : "http://hl7.org/fhir/us/nhsn-ade",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.nhsn-ade/1.0.0"
    },
    {
      "name" : "hl7.fhir.us.nhsn-med-admin",
      "date" : "2021-11-26T00:00:23-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "1184",
      "canonical" : "http://hl7.org/fhir/us/nhsn-med-admin",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.nhsn-med-admin/1.0.0"
    },
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      "fhirVersion" : "R4",
      "count" : "910",
      "canonical" : "http://hl7.org/fhir/us/pacio-cs",
      "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)",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.pacio-cs/1.0.0"
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      "count" : "908",
      "canonical" : "http://hl7.org/fhir/us/pacio-fs",
      "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)",
      "security" : "none",
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      "count" : "882",
      "canonical" : "http://hl7.org/fhir/uv/saner",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.saner/1.0.0"
    },
    {
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      "date" : "2021-11-26T12:00:00-00:00",
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      "fhirVersion" : "R4",
      "count" : "4156",
      "canonical" : "http://hl7.org/fhir/uv/bulkdata",
      "description" : "FHIR based approach for exporting large data sets from a FHIR server to a client application (built Fri, Nov 26, 2021 05:56+1100+11:00)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.bulkdata/2.0.0"
    },
    {
      "name" : "demis.fhir.profiles",
      "date" : "2021-11-26T14:03:36-00:00",
      "version" : "1.19.0",
      "fhirVersion" : "R4",
      "count" : "2110",
      "canonical" : "http://simplifier.net/packages/fictitious/demis.fhir.profiles",
      "description" : "Deutsches Elektronisches Melde- und Informationssystem für den Infektionsschutz",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/demis.fhir.profiles/1.19.0"
    },
    {
      "name" : "kbv.mio.u-heft",
      "date" : "2021-12-08T13:50:22-00:00",
      "version" : "1.0.1-festlegungsversion",
      "fhirVersion" : "R4",
      "count" : "1169",
      "canonical" : "http://simplifier.net/packages/fictitious/kbv.mio.u-heft",
      "description" : "Medizinische Informationsobjekte (MIO) Kinderuntersuchungsheft V1.0.1",
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      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/kbv.mio.u-heft/1.0.1-festlegungsversion"
    },
    {
      "name" : "hl7.fhir.us.cdmh",
      "date" : "2021-12-08T18:00:12-00:00",
      "version" : "1.0.0",
      "fhirVersion" : "R4",
      "count" : "918",
      "canonical" : "http://hl7.org/fhir/us/cdmh",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.cdmh/1.0.0"
    },
    {
      "name" : "hl7.fhir.uv.radiation-dose-summary",
      "date" : "2021-12-08T18:00:35-00:00",
      "version" : "0.1.0",
      "fhirVersion" : "R4",
      "count" : "453",
      "canonical" : "http://hl7.org/fhir/uv/radiation-dose-summary",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.radiation-dose-summary/0.1.0"
    },
    {
      "name" : "ca.infoway.vc.ps",
      "date" : "2021-12-11T05:37:23-00:00",
      "version" : "0.0.3",
      "fhirVersion" : "R4",
      "count" : "464",
      "canonical" : "https://fhir.infoway-inforoute.ca/ImplementationGuide/ca.infoway.vc.ps",
      "description" : "Patient Summary - Canada",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/ca.infoway.vc.ps/0.0.3"
    },
    {
      "name" : "kbv.mio.mutterpass",
      "date" : "2021-12-13T08:28:26-00:00",
      "version" : "1.1.0",
      "fhirVersion" : "R4",
      "count" : "1320",
      "canonical" : "http://simplifier.net/packages/fictitious/kbv.mio.mutterpass",
      "description" : "Medizinische Informationsobjekte (MIO) Mutterpass V1.1.0",
      "security" : "none",
      "kind" : "??kind (0)",
      "url" : "https://packages2.fhir.org/packages/kbv.mio.mutterpass/1.1.0"
    },
    {
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      "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)",
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      "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)",
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      "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)",
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      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.extensions.r3/5.1.0"
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      "description" : "This IG defines the global extensions - the ones defined for everyone. These extensions are always in scope wherever FHIR is being used (built Sat, Apr 27, 2024 18:39+1000+10:00)",
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      "description" : "This IG defines the global extensions - the ones defined for everyone. These extensions are always in scope wherever FHIR is being used (built Sat, Apr 27, 2024 18:39+1000+10:00)",
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      "count" : "287",
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      "description" : "???????????? EMR IG (built Mon, May 6, 2024 17:37+0800+08:00)",
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      "description" : "Nictiz NL package of FHIR STU3 conformance resources for eOverdracht information standard. Includes dependency on Zib2017.\r\n\r\nHCIMs: https://zibs.nl/wiki/HCIM_Release_2017(EN)",
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    {
      "name" : "hl7.fhir.uv.ae-research-ig",
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      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.ae-research-ig/1.0.1"
    },
    {
      "name" : "hl7.fhir.uv.ae-research-backport-ig",
      "date" : "2024-05-01T00:01:47-00:00",
      "version" : "1.0.1",
      "fhirVersion" : "R4",
      "count" : "1077",
      "canonical" : "http://hl7.org/fhir/uv/ae-research-backport-ig",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.ae-research-backport-ig/1.0.1"
    },
    {
      "name" : "ans.fr.documentation",
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      "canonical" : "https://interop.esante.gouv.fr/ig/documentation",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/ans.fr.documentation/0.1.7"
    },
    {
      "name" : "Northwell.Person.Extensions",
      "date" : "2024-05-06T12:42:21-00:00",
      "version" : "1.0.0-alpha",
      "fhirVersion" : "R4B",
      "count" : "316",
      "canonical" : "http://simplifier.net/packages/fictitious/Northwell.Person.Extensions",
      "description" : "Custom extensions on Person resource for BirthSex, Importance, Religion",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/Northwell.Person.Extensions/1.0.0-alpha"
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      "canonical" : "http://hl7.org/fhir/uv/pharm-quality",
      "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)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.uv.pharm-quality/1.0.0"
    },
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      "count" : "331",
      "canonical" : "http://simplifier.net/packages/fictitious/testproject130.com.banana",
      "description" : "Some test project 1",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/testproject130.com.banana/0.7.0+123"
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      "canonical" : "http://simplifier.net/packages/fictitious/nictiz.fhir.nl.r4.profilingguidelines",
      "description" : "This package contains profiles to check conformance to the Nictiz profiling guidelines for FHIR R4.",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/nictiz.fhir.nl.r4.profilingguidelines/0.9.0"
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    {
      "name" : "dvmd.kdl.r4",
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      "count" : "2179",
      "canonical" : "http://simplifier.net/packages/fictitious/dvmd.kdl.r4",
      "description" : "Publikation der Terminologie-Ressourcen für die Nutzung der Klinische Dokumentenklassen-Liste (KDL) des DVMD\r\nVersion 2023",
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      "canonical" : "https://profiles.ihe.net/fhir/ihe.formatcode.fhir",
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      "url" : "https://packages2.fhir.org/packages/ihe.formatcode.fhir/1.3.0"
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      "canonical" : "https://profiles.ihe.net/ITI/MHD",
      "description" : "ImplementationGuide for IHE IT Infrastructure Technical Framework Supplement Mobile access to Health Documents (MHD) (built Sat, May 18, 2024 12:30-0500-05:00)",
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      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/ihe.iti.mhd/4.2.2"
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      "canonical" : "http://simplifier.net/packages/fictitious/de.gkvsv.erezeptabrechnungsdaten",
      "description" : "Der Abrechnungsdatensatz zum E-Rezept",
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      "canonical" : "https://interop.esante.gouv.fr/ig/fhir/pdsm",
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      "url" : "https://packages2.fhir.org/packages/ans.fhir.fr.pdsm/3.1.0"
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      "canonical" : "http://simplifier.net/packages/fictitious/cidadex.testex",
      "description" : "rede de dados em saúde da cidade X",
      "security" : "none",
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    {
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      "canonical" : "http://simplifier.net/packages/fictitious/FHIR.DGMC",
      "description" : "DGMC",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/FHIR.DGMC/0.1.0"
    },
    {
      "name" : "hl7.fhir.us.ecr",
      "date" : "2024-05-30T12:00:49-00:00",
      "version" : "2.1.1",
      "fhirVersion" : "R4",
      "count" : "3132",
      "canonical" : "http://hl7.org/fhir/us/ecr",
      "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 Thu, Dec 14, 2023 17:36+0000+00:00)",
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      "canonical" : "http://simplifier.net/packages/fictitious/fmcna.caredata.fhir.ig.r4",
      "description" : "Fresenius Medical Care Data Model",
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      "count" : "972",
      "canonical" : "http://hl7.org/fhir/us/central-cancer-registry-reporting",
      "description" : "The Central Cancer Registry Reporting Content IG provides healthcare organizations the necessary data exchange mechanisms to report cancer data to public health agencies. (built Fri, May 31, 2024 12:55+0000+00:00)",
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      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.central-cancer-registry-reporting/1.0.0"
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      "count" : "517",
      "canonical" : "http://simplifier.net/packages/fictitious/ig.fhir-il-community.org.t17",
      "description" : "A national project for managing the pre authorization process between HMOs and Hospitals for ambulatory hospital services ",
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      "canonical" : "http://simplifier.net/packages/fictitious/acme.usecase.r4",
      "description" : "A project from ACME Corp for a specific use case, building on the R4 ACME Base Profiles",
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    {
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      "canonical" : "https://profiles.ihe.net/PCC/mAPS",
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      "canonical" : "https://profiles.ihe.net/us/PCC/mAPS",
      "description" : "Mobile 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. (built Tue, Jun 4, 2024 16:23-0500-05:00)",
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      "count" : "1054",
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      "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 20:59+0000+00:00)",
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      "description" : "SMART Guidelines Starter Kit with L2 and L3 SOP (built Sat, Nov 30, 2024 06:42+0000+00:00)",
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      "canonical" : "https://profiles.ihe.net/ITI/mCSD",
      "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 Mon, Dec 2, 2024 16:59-0600-06:00)",
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    {
      "name" : "animals.core",
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      "security" : "none",
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      "security" : "none",
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      "kind" : "IG",
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      "name" : "sand.box",
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      "description" : "This is a sandbox project ",
      "security" : "none",
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    {
      "name" : "implementation.guide.nhdr",
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      "description" : "DRAFT: Philippine CDI Implementation Guide for Integration with the National Health Data Repository (NHDR)",
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    {
      "name" : "hl7.au.fhir.template",
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      "count" : "2111",
      "canonical" : "http://fhir.org/templates/hl7.au.fhir.template",
      "description" : "HL7 Australia template for use with HL7 Australia-published FHIR implementation guides",
      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/hl7.au.fhir.template/0.11.0"
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    {
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      "canonical" : "http://fhir.org/templates/hl7.base.template",
      "description" : "HL7 Australia base template for use with HL7 Australia-published implementation guides",
      "security" : "none",
      "kind" : "Template",
      "url" : "https://packages2.fhir.org/packages/hl7.au.base.template/0.10.0"
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    {
      "name" : "hl7.au.sparked.template",
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      "canonical" : "http://fhir.org/templates/hl7.au.sparked.template",
      "description" : "HL7 Australia template for use with FHIR implementation guides published in scope of Sparked program",
      "security" : "none",
      "kind" : "Template",
      "url" : "https://packages2.fhir.org/packages/hl7.au.sparked.template/0.6.0"
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      "date" : "2024-12-09T02:28:13-00:00",
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      "fhirVersion" : "R4",
      "count" : "2056",
      "canonical" : "https://interop.esante.gouv.fr/ig/fhir/ror",
      "description" : "Ressources de conformité basées sur le modèle d'exposition 3.0 du ROR (built Mon, Dec 9, 2024 14:28+0000+00:00)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/ans.fhir.fr.ror/0.4.0"
    },
    {
      "name" : "de.medizininformatikinitiative.kerndatensatz.diagnose",
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      "canonical" : "https://www.medizininformatik-initiative.de/fhir/core/modul-diagnose/ImplementationGuide/mii-ig-diagnose",
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      "description" : "The CA Core+ project provides profiles based on the business, conceptual, and logical models in the pan-Canadian Health Data Content Framework Canadian Core for Data Interoperability (pCHDCF-CACDI). These models capture the data that is essential for clinical and business workflows to provide better health outcomes for Canadians.",
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      "canonical" : "http://hl7.org/fhir/us/davinci-hrex",
      "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. The HRex IG will use the HL7 FHIR Release 4/US Core STU3 specification as its base but will provide additional guidance and documentation to support implementations that follow the HL7 FHIR STU3/US Core STU2 and HL7 FHIR DSTU2/Argonaut specifications.\\n\\nThe HRex profiles documented in this IG will be used to exchange data between providers systems (e.g. EHRs) and other providers, payers, and third-party applications where appropriate. In addition, exchanges from payer systems to providers, other payers, and third-party applications are supported by the HRex profiles and operations.\\n\\nHRex may define new extensions, profiles, value sets, constraints/extension to other specification (e.g. specific CDS-Hooks) that are specific Da Vinci requirements. Where appropriate these Da Vinci specific artifacts will be promoted for incorporation into the future versions of existing standards (e.g. R4 US Core profiles) and deprecated in this guide on publication in the updated standard. (built Tue, Dec 10, 2024 16:43+0000+00:00)",
      "security" : "none",
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      "canonical" : "http://hl7.org/fhir/us/davinci-crd",
      "description" : "Guidelines for conveying coverage requirements to clinicians when planning treatment (built Wed, Dec 11, 2024 18:43+0000+00:00)",
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      "date" : "2024-12-11T07:02:50-00:00",
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      "count" : "1540",
      "canonical" : "http://hl7.org/fhir/us/davinci-alerts",
      "description" : "This implementation guide describes a method for the communication of relevant notifications to support the real-time exchange of information that impacts patient care and value based or risk based services. Providers and Payers may need to be notified when activities occur that impact a patient?s care. This may be as traditional as a notification of an admission or transfer to or discharge from a care setting. It also includes notifications about changes in treatment such as a new or different medication, or changes in patient status like a new diagnosis. These notifications provide information that can improve care management and care coordination as well as act as the trigger for quality programs and other patient focused activities (for example, risk adjustment). By allowing the patient?s healthcare providers to be better informed and able to take actions and intervene earlier, the twin goals of better patient care and reduced cost of care may be met. (built Wed, Dec 11, 2024 19:02+1100+11:00)",
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      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/hl7.fhir.us.davinci-alerts/1.1.0-preview"
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    {
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      "description" : "Medizininformatik Initiative - Modul Fall",
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      "description" : "????????????????(Taiwan NHI Cancer Prior Authorization Support Implementation Guide?TWPAS IG) (built Thu, Dec 12, 2024 16:57+0800+08:00)",
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      "canonical" : "https://profiles.ihe.net/ITI/Scheduling",
      "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)",
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      "canonical" : "http://simplifier.net/packages/fictitious/de.medizininformatikinitiative.kerndatensatz.patho",
      "description" : "Medizininformatik Initiative - Modul Pathologie Befund",
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      "url" : "https://packages2.fhir.org/packages/de.medizininformatikinitiative.kerndatensatz.patho/2025.0.2"
    },
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      "count" : "112",
      "canonical" : "https://imri.cgh.org.tw/imri",
      "description" : "??????",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/tw.cathay.fhir.imri/1.0.0"
    },
    {
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      "canonical" : "https://twcore.mohw.gov.tw/ig/twcore",
      "description" : "????????(TW Core IG) (built Thu, Dec 12, 2024 12:41+0800+08:00)",
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      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/tw.gov.mohw.twcore/0.3.2"
    },
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      "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 Mon, Dec 16, 2024 21:01+0000+00:00)",
      "security" : "none",
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      "description" : "The SDC specification provides an infrastructure to standardize the capture and expanded use of patient-level data collected within an EHR. (built Tue, Dec 17, 2024 01:47+0000+00:00)",
      "security" : "none",
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      "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. (built Tue, Dec 17, 2024 21:40+0000+00:00)",
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      "security" : "none",
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      "url" : "https://packages2.fhir.org/packages/ch.fhir.ig.ch-epr-fhir/4.0.1"
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      "canonical" : "http://fhir.ch/ig/ch-atc",
      "description" : "Implementation Guide for CH ATC (Audit Trail Consumption) (built Wed, Dec 18, 2024 12:52+0000+00:00)",
      "security" : "none",
      "kind" : "IG",
      "url" : "https://packages2.fhir.org/packages/ch.fhir.ig.ch-atc/3.3.0"
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      "description" : "Medizininformatik Initiative - Modul Molekulargenetischer Befundbericht",
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