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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Pages724-728
Number of pages5
ISBN (Electronic)9781643680026
DOIs
StatePublished - Aug 21 2019
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: Aug 25 2019Aug 30 2019

Publication series

NameStudies in Health Technology and Informatics
Volume264
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019
CountryFrance
CityLyon
Period8/25/198/30/19

Fingerprint

Clinical Decision Support Systems
Drug interactions
Drug Interactions
Language
Pharmaceutical Preparations
Group Processes
Biological Science Disciplines
Hooks
Semantic Web
Semantics
Delivery of Health Care

Keywords

  • Clinical decision support systems
  • Electronic health records
  • Potential Drug-Drug Interaction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Nguyen, B. P., Reese, T., Decker, S., Malone, D. C., Boyce, R. D., & Beyan, O. (2019). Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 724-728). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190318

Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language. / Nguyen, Binh Phi; Reese, Thomas; Decker, Stefen; Malone, Daniel C; Boyce, Richard D.; Beyan, Oya.

MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 724-728 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, BP, Reese, T, Decker, S, Malone, DC, Boyce, RD & Beyan, O 2019, Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 724-728, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 8/25/19. https://doi.org/10.3233/SHTI190318
Nguyen BP, Reese T, Decker S, Malone DC, Boyce RD, Beyan O. Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 724-728. (Studies in Health Technology and Informatics). https://doi.org/10.3233/SHTI190318
Nguyen, Binh Phi ; Reese, Thomas ; Decker, Stefen ; Malone, Daniel C ; Boyce, Richard D. ; Beyan, Oya. / Implementation of clinical decision support services to detect potential drug-drug interaction using clinical quality language. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 724-728 (Studies in Health Technology and Informatics).
@inproceedings{1cb0148adbc54147a9048a75bcbfb1ae,
title = "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.",
keywords = "Clinical decision support systems, Electronic health records, Potential Drug-Drug Interaction",
author = "Nguyen, {Binh Phi} and Thomas Reese and Stefen Decker and Malone, {Daniel C} and Boyce, {Richard D.} and Oya Beyan",
year = "2019",
month = "8",
day = "21",
doi = "10.3233/SHTI190318",
language = "English (US)",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "724--728",
editor = "Brigitte Seroussi and Lucila Ohno-Machado and Lucila Ohno-Machado and Brigitte Seroussi",
booktitle = "MEDINFO 2019",
address = "Netherlands",

}

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 C

AU - Boyce, Richard D.

AU - Beyan, Oya

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

ER -