Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language

Nguyen BP, Reese T, Decker S, Malone D, Boyce RD, Beyan O. Implementation of Clinical Decision Support Services to Detect Potential Drug-Drug Interaction Using Clinical Quality Language.

Stud Health Technol Inform. 2019 Aug 21;264:724-728. doi: 10.3233/SHTI190318. PubMed PMID: 31438019.

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.

Publication Year: 
2019
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Nguyen BP, Reese T, Decker S, Malone D, Boyce RD, Beyan O.
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