Using Clinical Simulation to Evaluate AI-Enabled Decision Support.

Journal: Studies in health technology and informatics
Published Date: Jan 25, 2024

Abstract

Clinical simulation is a useful method for evaluating AI-enabled clinical decision support (CDS). Simulation studies permit patient- and risk-free evaluation and far greater experimental control than is possible with clinical studies. The effect of CDS assisted and unassisted patient scenarios on meaningful downstream decisions and actions within the information value chain can be evaluated as outcome measures. This paper discusses the use of clinical simulation in CDS evaluation and presents a case study to demonstrate feasibility of its application.

Authors

  • David Lyell
    Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia david.lyell@mq.edu.au.
  • Adriaan Lustig
    Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
  • Kate Denyer
    Faculty of Medicine, Health and Human Sciences, Macquarie University, Australia.
  • Satya Vedantam
    Australian Institute of Health Innovation, Macquarie University, Australia.
  • Farah Magrabi
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia.

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