• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language
 
  • Details
  • Full
Options
2019
Conference Paper
Titel

Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language

Abstract
Potential drug-drug interactions (PDDI) rules are currently represented without any common standard making them difficult to update, maintain, and exchange. The PDDI minimum information model developed by the Semantic Web in the Healthcare and Life Sciences Community Group describes PDDI knowledge in an actionable format. In this paper, we report implementation and evaluation of CDS Services which represent PDDI knowledge with Clinical Quality Language (CQL). The suggested solution is based on emerging standards including CDS Hooks, FHIR, and CQL. Two use cases are selected, implemented with CQL rules and tested at the Connectathon held at the 32nd Annual Plenary & Working Group Meeting of HL7.
Author(s)
Nguyen, B.-P.
Reese, T.
Decker, S.
Malone, D.
Boyce, R.D.
Beyan, O.
Hauptwerk
MEDINFO 2019, 7th World Congress on Medical and Health Informatics. Proceedings
Konferenz
World Congress on Medical and Health Informatics (MEDINFO) 2019
Thumbnail Image
DOI
10.3233/SHTI190318
Externer Link
Externer Link
Language
English
google-scholar
Fraunhofer-Institut für Angewandte Informationstechnik FIT
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022