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

: Nguyen, B.-P.; Reese, T.; Decker, S.; Malone, D.; Boyce, R.D.; Beyan, O.

Fulltext ()

Ohno-Machado, L.:
MEDINFO 2019, 7th World Congress on Medical and Health Informatics. Proceedings : Health and wellbeing e-networks for all; Lyon, France, 25 to 30 August 2019
Amsterdam: IOS Press, 2019 (Studies in health technology and informatics 264)
ISBN: 978-1-64368-002-6 (Print)
ISBN: 978-1-64368-003-3 (Online)
World Congress on Medical and Health Informatics (MEDINFO) <17, 2019, Lyon>
Conference Paper, Electronic Publication
Fraunhofer FIT ()

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.