Repeatability, reproducibility, and diagnostic accuracy of a commercial large language model (ChatGPT) to perform emergency department triage using the Canadian triage and acuity scale.

Journal: CJEM
Published Date: Jan 11, 2024

Abstract

PURPOSE: The release of the ChatGPT prototype to the public in November 2022 drastically reduced the barrier to using artificial intelligence by allowing easy access to a large language model with only a simple web interface. One situation where ChatGPT could be useful is in triaging patients arriving to the emergency department. This study aimed to address the research problem: "can emergency physicians use ChatGPT to accurately triage patients using the Canadian Triage and Acuity Scale (CTAS)?".

Authors

  • Jeffrey Michael Franc
    Department of Emergency Medicine, University of Alberta, Edmonton, AB, Canada. jeffrey.franc@ualberta.ca.
  • Lenard Cheng
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Alexander Hart
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Ryan Hata
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Atilla Hertelendy
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.

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