Establishing methodological standards for the development of artificial intelligence-based Clinical Decision Support in emergency medicine.

Journal: CJEM
PMID: 39918783

Abstract

OBJECTIVE: Artificial intelligence (AI) offers opportunities for managing the complexities of clinical care in the emergency department (ED), and Clinical Decision Support has been identified as a priority application. However, there is a lack of published guidance on how to rigorously develop and evaluate these tools. We sought to answer the question, "What methodological standards should be applied to the development of AI-based Clinical Decision Support tools in the ED?".

Authors

  • Hashim Kareemi
    From the, Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Henry Li
    Program in Applied Mathematics, Yale University, New Haven, CT, USA.
  • Akshay Rajaram
    Department of Emergency Medicine, Queen's University, Kingston, ON, Canada.
  • Jessalyn K Holodinsky
    Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N4N1, Canada. jkholodi@ucalgary.ca.
  • Justin N Hall
    Department of Emergency Medicine, Sunnybrook Health Sciences Centre, Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.
  • Lars Grant
    Department of Emergency Medicine, McGill University, Montreal, QC, Canada.
  • Gautam Goel
    Department of Emergency Medicine, Queensway Carleton Hospital, Ottawa, ON, Canada.
  • Jake Hayward
    University of Alberta, Faculty of Medicine and Dentistry, Department of Emergency Medicine, 750 University Terrace Building, 8303-112 Street NW, Edmonton T6G 2T4, Canada.
  • Shaun Mehta
    Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Maxim Ben-Yakov
    Department of Medicine, Division of Emergency Medicine, University of Toronto, Toronto, ON, Canada.
  • Elyse Berger Pelletier
    Department of Family Medicine and Emergency Medicine, Université Laval, Quebec, QC, Canada.
  • Frank Scheuermeyer
    Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Kendall Ho
    The University of British Columbia, Canada (K.H.).

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