Modeling information flows in clinical decision support: Key insights for enhancing system effectiveness

Stephanie Medlock, Jeremy C. Wyatt, Vimla L. Patel, Edward H. Shortliffe, Ameen Abu-Hanna

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

A fundamental challenge in the field of clinical decision support is to determine what characteristics of systems make them effective in supporting particular types of clinical decisions. However, we lack such a theory of decision support itself and a model to describe clinical decisions and the systems to support them. This article outlines such a framework. We present a two-stream model of information flow within clinical decision-support systems (CDSSs): reasoning about the patient (the clinical stream), and reasoning about the user (the cognitive-behavioral stream). We propose that CDSS "effectiveness" be measured not only in terms of a system's impact on clinical care, but also in terms of how (and by whom) the system is used, its effect on work processes, and whether it facilitates appropriate decisions by clinicians and patients. Future research into which factors improve the effectiveness of decision support should not regard CDSSs as a single entity, but should instead differentiate systems based on their attributes, users, and the decision being supported.

Original languageEnglish (US)
Pages (from-to)1001-1006
Number of pages6
JournalJournal of the American Medical Informatics Association
Volume23
Issue number5
DOIs
StatePublished - Sep 1 2016

Keywords

  • Clinical
  • Decision making
  • Decision-support systems
  • User-computer interface
  • workflow

ASJC Scopus subject areas

  • Health Informatics

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