Data-driven identification of urgent surgical procedures for use in trauma outcomes measurement.

Journal: Trauma surgery & acute care open
Published Date: May 21, 2025

Abstract

BACKGROUND: No standardized list of urgent-trauma-surgery exists for analysis in injury studies. If coded by a standard classification system, such a list could facilitate the standard evaluation and comparison of trauma systems. Solving this problem using Delphi methods or expert opinion incorporating all surgical specialties would be resource-intensive. Instead, we describe a flexible data-driven method for generating a list of urgent surgical procedures from routine administrative data.

Authors

  • Matthew Miller
    PhD Candidate, Centre for Big Data Research in Health, UNSW Sydney, Sydney, New South Wales, Australia.
  • Louisa Jorm
    Centre for Big Data Research in Health, University of New South Wales, Sydney, NSW, Australia.
  • Blanca Gallego
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.

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