Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study.

Journal: Journal of medical Internet research
PMID: 39186764

Abstract

BACKGROUND: Diagnostic errors are an underappreciated cause of preventable mortality in hospitals and pose a risk for severe patient harm and increase hospital length of stay.

Authors

  • Azade Tabaie
    Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA.
  • Alberta Tran
    Department of Quality and Safety, MedStar Health Research Institute, Washington, DC, United States.
  • Tony Calabria
    Department of Quality and Safety, MedStar Health Research Institute, Washington, DC, United States.
  • Sonita S Bennett
    Center for Biostatistics, Informatics, and Data Science, MedStar Health Research Institute, Washington, DC, United States.
  • Arianna Milicia
    National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States.
  • William Weintraub
    Population Health, MedStar Health Research Institute, Washington, DC, United States.
  • William James Gallagher
    Georgetown University School of Medicine, Washington, DC, United States.
  • John Yosaitis
    Georgetown University School of Medicine, Washington, DC, United States.
  • Laura C Schubel
    National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States.
  • Mary A Hill
    Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, ON, Canada.
  • Kelly Michelle Smith
    Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, ON, Canada.
  • Kristen Miller
    National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC, United States.

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