A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution

Guoqian D Jiang, Harold R. Solbrig, Richard Kiefer, Luke V. Rasmussen, Huan Mo, Peter Speltz, William K. Thompson, Joshua C. Denny, Christopher G. Chute, Jyotishman Pathak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages1098
Number of pages1
Volume216
ISBN (Print)9781614995630
DOIs
StatePublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • Clinical Phenotyping
  • HL7 FHIR
  • Metadata Repository
  • Quality Data Model (QDM)

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Jiang, G. D., Solbrig, H. R., Kiefer, R., Rasmussen, L. V., Mo, H., Speltz, P., Thompson, W. K., Denny, J. C., Chute, C. G., & Pathak, J. (2015). A Standards-based Semantic Metadata Repository to Support EHR-driven Phenotype Authoring and Execution. In Studies in Health Technology and Informatics (Vol. 216, pp. 1098). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1098