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Computerized Clinical Decision Support: Contributions from 2014.

J Bouaud1, V Koutkias

  • 1Dr Jacques Bouaud, LIMICS - INSERM U1142, Campus des Cordeliers, 15, rue de l'école de médecine, 75006 Paris, France, Tél. +33 1 44 27 92 10,

Yearbook of Medical Informatics
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PubMed
Summary
This summary is machine-generated.

This review highlights four key papers on computerized clinical decision support systems (CDSSs) from 2014, focusing on their uses, adaptation, and long-term impact in healthcare.

Keywords:
Clinical Decision Support SystemsInternational Medical Informatics AssociationMedical informaticsYearbook

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Area of Science:

  • Health Informatics
  • Medical Decision Making
  • Computer Science in Medicine

Background:

  • Computerized Clinical Decision Support Systems (CDSSs) are increasingly integrated into healthcare.
  • Research in 2014 focused on understanding CDSS functionality and application.
  • The IMIA Yearbook aims to summarize significant advancements in health informatics.

Purpose of the Study:

  • To identify and summarize the best research papers on computerized clinical decision support published in 2014.
  • To provide an expert selection of impactful studies for the IMIA Yearbook.
  • To highlight emerging trends in clinical decision support.

Main Methods:

  • A comprehensive literature search was conducted across two major bibliographic databases.
  • Papers related to CDSSs and Computerized Provider Order Entry (CPOE) systems were screened.
  • A peer-review process involving external reviewers and an editorial team finalized the selection of top papers.

Main Results:

  • Four best papers were selected from 1,254 publications in 2014.
  • Selected papers cover unintended CDSS uses, data-driven CDSS adaptation, pharmacogenomic decision support, and long-term antibiotic therapy CDSS impact.
  • These papers showcase advancements in personalized medicine and system utilization.

Conclusions:

  • CDSSs are evolving to better meet user needs with advancing health information technology.
  • The use of historical and genomic data in CDSSs is becoming a reality.
  • Further research is required to ensure correct technology usage and evaluate long-term clinical impact.