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

Year: 2019

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti190318

Authors: Nguyen Binh-Phi, Reese Thomas, Decker Stefen, Malone Daniel, Boyce Richard D., Beyan Oya

Institutions: RWTH Aachen University, University of Utah, Fraunhofer Institute for Applied Information Technology, University of Arizona, University of Pittsburgh

Language: English

Topic: Electronic Health Records Systems

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W2984193992

FWCI: 8.132

Cites:

Cited by: 15

Related to: 10