ArticleJMIR medical informatics2019
Fast Healthcare Interoperability Resources, Clinical Quality Language, and Systematized Nomenclature of Medicine-Clinical Terms in Representing Clinical Evidence Logic Statements for the Use of Imaging Procedures: Descriptive Study.
Article in JMIR medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic Health Record and Semantic Issues Using Fast Healthcare Interoperability Resources: Systematic Mapping Review.Journal of medical Internet research · 2024Pooled it
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- Molecularly-Guided Cancer Clinical Trial Matching using FHIR and HL7 Clinical Quality Language: A Proof of Concept.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Lessons Learned from a National Initiative Promoting Publicly Available Standards-Based Clinical Decision Support.Applied clinical informatics · 2023Article
- Could an artificial intelligence approach to prior authorization be more human?Journal of the American Medical Informatics Association : JAMIA · 2023Article
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- Coordinated use of Health Level 7 standards to support clinical decision support: Case study with shared decision making and drug-drug interactions.International journal of medical informatics · 2022Article
- HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study.Sensors (Basel, Switzerland) · 2022Article
- Identifying urban built environment factors in pregnancy care and maternal mental health outcomes.BMC pregnancy and childbirth · 2021Observational
- Coding Systems for Clinical Decision Support: Theoretical and Real-World Comparative Analysis.JMIR formative research · 2020Article
- Experience in Developing an FHIR Medical Data Management Platform to Provide Clinical Decision Support.International journal of environmental research and public health · 2019Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence-based guidelines and recommendations can be transformed into "If-Then" Clinical Evidence Logic Statements (CELS). Imaging-related CELS were represented in standardized formats in the Harvard Medical School Library of Evidence (HLE).
objectiveWe aimed to (1) describe the representation of CELS using established Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), Clinical Quality Language (CQL), and Fast Healthcare Interoperability Resources (FHIR) standards and (2) assess the limitations of using these standards to represent imaging-related CELS.
methodsThis study was exempt from review by the Institutional Review Board as it involved no human subjects. Imaging-related clinical recommendations were extracted from evidence sources and translated into CELS. The clinical terminologies of CELS were represented using SNOMED CT and the condition-action logic was represented in CQL and FHIR. Numbers of fully and partially represented CELS were tallied.
resultsA total of 765 CELS were represented in the HLE as of December 2018. We were able to fully represent 137 of 765 (17.9%) CELS using SNOMED CT, CQL, and FHIR. We were able to represent terms using SNOMED CT in the temporal component for action ("Then") statements in CQL and FHIR in 755 of 765 (98.7%) CELS.
conclusionsCELS were represented as shareable clinical decision support (CDS) knowledge artifacts using existing standards-SNOMED CT, FHIR, and CQL-to promote and accelerate adoption of evidence-based practice. Limitations to standardization persist, which could be minimized with an add-on set of standard terms and value sets and by adding time frames to the CQL framework.
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