Why do users override alerts? Utilizing large language model to summarize comments and optimize clinical decision support.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: May 20, 2024

Abstract

OBJECTIVES: To evaluate the capability of using generative artificial intelligence (AI) in summarizing alert comments and to determine if the AI-generated summary could be used to improve clinical decision support (CDS) alerts.

Authors

  • Siru Liu
    School of Medicine, University of Utah, Salt Lake City, Utah, US.
  • Allison B McCoy
    Vanderbilt University Medical Center, Nashville, TN.
  • Aileen P Wright
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
  • Scott D Nelson
    George E. Whalen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA; University of Utah, Salt Lake City, UT, USA.
  • Sean S Huang
    Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
  • Hasan B Ahmad
    Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, United States.
  • Sabrina E Carro
    Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
  • Jacob Franklin
    Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
  • James Brogan
    Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37212, United States.
  • Adam Wright
    Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.

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