Toward a responsible future: recommendations for AI-enabled clinical decision support.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 1, 2024

Abstract

BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack of established methodologies for pre- and post-deployment evaluation of AI tools regarding crucial attributes such as transparency, performance monitoring, and adverse event reporting makes this situation challenging.

Authors

  • Steven Labkoff
    Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; Quantori, Boston, MA, United States.
  • Bilikis Oladimeji
    UnitedHealth Group, Minnetonka, MN, United States.
  • Joseph Kannry
    Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Anthony Solomonides
    NorthShore University Health System, Research Institute, Evanston, IL, USA.
  • Russell Leftwich
    Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, United States.
  • Eileen Koski
    Center for Computational Health, IBM T. J. Watson Research Center, Yorktown Heights, New York, USA.
  • Amanda L Joseph
    Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; School of Health Information Science, University of Victoria, Victoria, BC, Canada; Homewood Research Institute, Guelph, ON, Canada.
  • Monica Lopez-Gonzalez
    Cognitive Insights for Artificial Intelligence, Baltimore, MD, United States.
  • Lee A Fleisher
    Perelman School of Medicine at University of Pennsylvania, Philadelphia.
  • Kimberly Nolen
    Pfizer Inc, New York, NY, United States.
  • Sayon Dutta
    Mass General Brigham Digital Health eCare, Somerville, MA, USA.
  • Deborah R Levy
    Department of Medicine, Pain Research Informatics Multimorbidities and Epidemiology (PRIME) Center, VA-Connecticut Healthcare System, West Haven, CT, United States.
  • Amy Price
    The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH, United States; BMJ, London, United Kingdom.
  • Paul J Barr
    The Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, United States.
  • Jonathan D Hron
    Department of Pediatrics, Division of General Pediatrics, Boston Children's Hospital, Boston, MA 02115, United States.
  • Baihan Lin
    Departments of AI, Psychiatry, and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States; Berkman Klein Center for Internet and Society, Harvard Law School, Cambridge, MA, United States.
  • Gyana Srivastava
    Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; School of Public Health, Harvard University, Boston, MA, United States.
  • Nuria Pastor
    Vitalera, Barcelona 08028, Spain.
  • Unai Sanchez Luque
    Vitalera, Barcelona 08028, Spain.
  • Tien Thi Thuy Bui
    Massachusetts College of Pharmacy and Health Sciences, Boston, MA, United States.
  • Reva Singh
    American Medical Informatics Association, Washington, DC, United States.
  • Tayler Williams
    American Medical Informatics Association, Washington, DC, United States.
  • Mark G Weiner
    Weill Cornell Medicine, New York, NY.
  • Tristan Naumann
    Microsoft Research, Redmond, WA, USA.
  • Dean F Sittig
    Center for Innovations in Quality, Effectiveness and Safety, Michael E DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
  • Gretchen Purcell Jackson
    Vanderbilt University Medical Center, Nashville, Tennessee.
  • Yuri Quintana
    Harvard Medical School, Boston, MA.

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