TY - JOUR
T1 - Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources
T2 - Standards Development Project
AU - Soares, Andrey
AU - Schilling, Lisa M.
AU - Richardson, Joshua
AU - Kommadi, Bhagvan
AU - Subbian, Vignesh
AU - Dehnbostel, Joanne
AU - Shahin, Khalid
AU - Robinson, Karen A.
AU - Afzal, Muhammad
AU - Lehmann, Harold P.
AU - Kunnamo, Ilkka
AU - Alper, Brian S.
N1 - Publisher Copyright:
©Andrey Soares, Lisa M Schilling, Joshua Richardson, Bhagvan Kommadi, Vignesh Subbian, Joanne Dehnbostel, Khalid Shahin, Karen A Robinson, Muhammad Afzal, Harold P Lehmann, Ilkka Kunnamo, Brian S Alper.
PY - 2024
Y1 - 2024
N2 - Background: Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. Objective: This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. Methods: As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. Results: The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. Conclusions: EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.
AB - Background: Evidence-based medicine (EBM) has the potential to improve health outcomes, but EBM has not been widely integrated into the systems used for research or clinical decision-making. There has not been a scalable and reusable computer-readable standard for distributing research results and synthesized evidence among creators, implementers, and the ultimate users of that evidence. Evidence that is more rapidly updated, synthesized, disseminated, and implemented would improve both the delivery of EBM and evidence-based health care policy. Objective: This study aimed to introduce the EBM on Fast Healthcare Interoperability Resources (FHIR) project (EBMonFHIR), which is extending the methods and infrastructure of Health Level Seven (HL7) FHIR to provide an interoperability standard for the electronic exchange of health-related scientific knowledge. Methods: As an ongoing process, the project creates and refines FHIR resources to represent evidence from clinical studies and syntheses of those studies and develops tools to assist with the creation and visualization of FHIR resources. Results: The EBMonFHIR project created FHIR resources (ie, ArtifactAssessment, Citation, Evidence, EvidenceReport, and EvidenceVariable) for representing evidence. The COVID-19 Knowledge Accelerator (COKA) project, now Health Evidence Knowledge Accelerator (HEvKA), took this work further and created FHIR resources that express EvidenceReport, Citation, and ArtifactAssessment concepts. The group is (1) continually refining FHIR resources to support the representation of EBM; (2) developing controlled terminology related to EBM (ie, study design, statistic type, statistical model, and risk of bias); and (3) developing tools to facilitate the visualization and data entry of EBM information into FHIR resources, including human-readable interfaces and JSON viewers. Conclusions: EBMonFHIR resources in conjunction with other FHIR resources can support relaying EBM components in a manner that is interoperable and consumable by downstream tools and health information technology systems to support the users of evidence.
KW - EBMonFHIR
KW - FHIR
KW - Fast Healthcare Interoperability Resources
KW - computable evidence
KW - evidence-based medicine
KW - evidence-based medicine on Fast Healthcare Interoperability Resources
UR - http://www.scopus.com/inward/record.url?scp=85197008157&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85197008157&partnerID=8YFLogxK
U2 - 10.2196/54265
DO - 10.2196/54265
M3 - Article
C2 - 38916936
AN - SCOPUS:85197008157
SN - 1439-4456
VL - 26
JO - Journal of medical Internet research
JF - Journal of medical Internet research
IS - 1
M1 - e54265
ER -