A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution
نویسندگان
چکیده
This study describes our efforts in developing a standards-based semantic metadata repository for supporting electronic health record (EHR)-driven phenotype authoring and execution. Our system comprises three layers: 1) a semantic data element repository layer; 2) a semantic services layer; and 3) a phenotype application layer. In a prototype implementation, we developed the repository and services through integrating the data elements from both Quality Data Model (QDM) and HL7 Fast Healthcare Inteoroperability Resources (FHIR) models. We discuss the modeling challenges and the potential of our system to support EHR phenotype authoring and execution applications.
منابع مشابه
Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study
The objective of this pilot study is to describe a crowdsourcing effort in harmonizing high-level data elements between Quality Data Model (QDM) and HL7 Fast Healthcare Interoperability Resources (FHIR) to support electronic health records (EHR)-driven phenotype authoring and execution. In total, 194 mapping pairs between the two models were identified, with a Fleiss’s kappa statistics (k=0.24)...
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