FHIR IG analytics| Package | hl7.fhir.uv.ebm |
| Resource Type | Citation |
| Id | Citation-385938.json |
| FHIR Version | R6 |
No resources found
No resources found
Note: links and images are rebased to the (stated) source
Generated Narrative: Citation 385938
version: 10; Last updated: 2025-10-12 22:50:47+0000
Profile: DatabaseEntryCitation
ArtifactPublicationStatus: Active
url: Citation Citation for EBMonFHIR Implementation Guide
identifier: FEvIR Object Identifier/385938, Uniform Resource Identifier (URI)/urn:oid:2.16.840.1.113883.4.642.40.44.15.59
version: 1.0.0-ballot3
title: Citation for EBMonFHIR Implementation Guide
status: Active
date: 2026-02-10 14:00:26+0000
author: Brian S. Alper, MD, MSPH:
publisher: HL7 International / Clinical Decision Support
contact: HL7 International / Clinical Decision Support: http://www.hl7.org/Special/committees/dss
description:
This Citation Resource is referenced in an example for the EBMonFHIR Implementation Guide.
jurisdiction: World
copyright:
https://creativecommons.org/licenses/by-nc-sa/4.0/
summary
style: Computable Publishing
text:
Evidence Based Medicine on FHIR Implementation Guide [Database Entry], version 1.0.0-ballot2. Contributors: HL7 International [Publisher]. Identifier {from urn:ietf:rfc:3986} OID:2.16.840.1.113883.4.642.40.44. Published March 28, 2025. Accessed October 09, 2025. Available at: http://hl7.org/fhir/uv/ebm/2025May/.
summary
style: NLM
text:
Evidence Based Medicine on FHIR Implementation Guide [Internet]. Version 1.0.0-ballot2. Ann Arbor (MI): HL7 International. 2025 Mar 28. Available from: http://hl7.org/fhir/uv/ebm/2025May/.
citedArtifact
identifier: Uniform Resource Identifier (URI)/OID:2.16.840.1.113883.4.642.40.44
dateAccessed: 2025-10-09
title
type: Primary title
text:
Evidence Based Medicine on FHIR Implementation Guide
title
type: Acronym
text:
EBMonFHIR IG
title
type: Short title
text:
EBMonFHIR Implementation Guide
title
type: Machine use
text:
EBMIG
Abstracts
Type Text Copyright Primary human use The FHIR Resources for Evidence Based Medicine Knowledge Assets ('EBMonFHIR') Implementation Guide defines profiles and value sets for the representation of scientific knowledge. This implementation guide is intended for developers of systems using FHIR for data exchange of scientific knowledge and for authors of more specialized implementation guides in this domain.
This implementation guide covers the broad scope of representation of scientific knowledge, including (1) citations to represent identification, location, classification, and attribution for knowledge artifacts; (2) components of research study design including study eligibility criteria (cohort definitions) and endpoint analysis plans; (3) research results including the statistic findings, definition of variables for which those findings apply, and the certainty of these findings; (4) assessments of research results; (5) aggregation and synthesis of research results; (6) judgments regarding evidence syntheses and contextual factors related to recommendations; (7) recommendations; and (8) compositions of combinations of these types of knowledge. The types of interoperability covered include syntactic (Resource StructureDefinitions) and semantic (value sets).
© 2024+ HL7 International / Clinical Decision Support.
publicationForm
PublishedIns
Publisher PublisherLocation HL7 International Ann Arbor (MI) citedMedium: Internet without issue
articleDate: 2025-03-28
copyright:
© 2024+ HL7 International / Clinical Decision Support.
webLocation
classifier: Full-Text, Version Specific, Webpage
Classifications
Type Classifier Knowledge Artifact Type Database Entry contributorship
Entries
Contributor Role Organization HL7 International Publisher Summaries
Type Source Value Contributorship statement Copied from article This Implementation Guide was made possible by the thoughtful contributions of many, including but not limited to the following people and organizations: Brian S. Alper, MD, MSPH, FAAFP, FAMIA, FGIN, Computable Publishing LLC (US) - Editor Khalid Shahin, Computable Publishing LLC (US) - Committer Joanne Dehnbostel, MS, MPH, Computable Publishing LLC (US) Health Evidence Knowledge Accelerator (HEvKA) Scientific Knowledge Accelerator Foundation Clinical Decision Support (CDS) Work Group Clinical Quality Information (CQI) Work Group Biomedical Research and Regulation (BRR) Work Group Structured Documents (SD) Work Group Guidelines International Network Technology Working Group (GINTech) Muhammad Afzal, PhD, FHEA, Birmingham City University (England) Rachel Couban, McMaster University (Canada) Christopher M. Enright, Computable Publishing LLC (US) Sophie Klopfenstein, MD, Berlin Institute of Health at Charité – Universitätsmedizin Berlin (Germany) Bhagvan Kommadi, MS, Capri Global Capital Ltd. (India) Ilkka Kunnamo, MD, PhD, Duodecim Publishing Company (Finland) Harold Lehmann, MD, PhD, Johns Hopkins University (US) Gregor Lichtner, PhD, Universitätsmedizin Greifswald (Germany) Matthias Löbe, IMISE, Universität Leipzig (Germany) Bryn Rhodes, Smile Digital Health (US) Karen A. Robinson, PhD, Johns Hopkins University (US) Mario Tristan, IHCAI Institute (Costa Rica) Janice Tufte, Hassanah Consulting (US) Yunwei Wang, MITRE (US) Kenneth J. Wilkins, PhD, National Institutes of Health, National Institute of Diabetes & Digestive & Kidney Diseases (NIH/NIDDK) (US)
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"text": "The FHIR Resources for Evidence Based Medicine Knowledge Assets ('EBMonFHIR') Implementation Guide defines profiles and value sets for the representation of scientific knowledge. This implementation guide is intended for developers of systems using FHIR for data exchange of scientific knowledge and for authors of more specialized implementation guides in this domain.\n\nThis implementation guide covers the broad scope of representation of scientific knowledge, including (1) citations to represent identification, location, classification, and attribution for knowledge artifacts; (2) components of research study design including study eligibility criteria (cohort definitions) and endpoint analysis plans; (3) research results including the statistic findings, definition of variables for which those findings apply, and the certainty of these findings; (4) assessments of research results; (5) aggregation and synthesis of research results; (6) judgments regarding evidence syntheses and contextual factors related to recommendations; (7) recommendations; and (8) compositions of combinations of these types of knowledge. The types of interoperability covered include syntactic (Resource StructureDefinitions) and semantic (value sets).",
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