A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. Conference Paper uri icon

Overview

abstract

  • 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.

publication date

  • January 1, 2015

Research

keywords

  • Databases, Factual
  • Electronic Health Records
  • Health Level Seven
  • Semantics
  • Vocabulary, Controlled

Identity

PubMed Central ID

  • PMC4898771

Scopus Document Identifier

  • 84952040722

PubMed ID

  • 26262397

Additional Document Info

volume

  • 216