Behind the screens: Clinical decision support methodologies - A review

Paolo Fraccaro, Dympna O'Sullivan, Panagiotis Plastiras, Hugh O'Sullivan, Chiara Dentone, Antonio Di Biagio, Peter Weller

Research output: Contribution to journalReview articlepeer-review

Abstract

Clinical decision support systems (CDSSs) are interactive software systems designed to assist clinicians with decision making tasks, such as determining diagnosis of patient data. CDSSs are a widely researched topic in the Computer Science community but their workings are less well understood by clinicians. The purpose of this review is to introduce clinicians and policy makers to the most commonly computer-based methodologies employed to construct decision models to compute clinical decisions in a non-technical manner. We hope that a better understanding of CDSSs will open up discussion about the future of CDSSs as a part of healthcare delivery as well as engage clinicians and policy makers in the development and deployment of CDSSs that can meaningfully help with decision making tasks.

Original languageEnglish
Pages (from-to)29-38
Number of pages10
JournalHealth Policy and Technology
Volume4
Issue number1
DOIs
Publication statusPublished - 1 Mar 2015
Externally publishedYes

Keywords

  • Clinical decision support systems
  • Knowledge representation
  • Machine learning
  • Text mining
  • Visualization techniques

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