TY - GEN
T1 - Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language
AU - Nguyen, Binh Phi
AU - Reese, Thomas
AU - Decker, Stefen
AU - Malone, Daniel
AU - Boyce, Richard D.
AU - Beyan, Oya
N1 - Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press.
PY - 2019/8/21
Y1 - 2019/8/21
N2 - 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.
AB - 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.
KW - Clinical decision support systems
KW - Electronic health records
KW - Potential Drug-Drug Interaction
UR - http://www.scopus.com/inward/record.url?scp=85071484979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071484979&partnerID=8YFLogxK
U2 - 10.3233/SHTI190318
DO - 10.3233/SHTI190318
M3 - Conference contribution
C2 - 31438019
AN - SCOPUS:85071484979
T3 - Studies in Health Technology and Informatics
SP - 724
EP - 728
BT - MEDINFO 2019
A2 - Seroussi, Brigitte
A2 - Ohno-Machado, Lucila
A2 - Ohno-Machado, Lucila
A2 - Seroussi, Brigitte
PB - IOS Press
T2 - 17th World Congress on Medical and Health Informatics, MEDINFO 2019
Y2 - 25 August 2019 through 30 August 2019
ER -