Predicting opportunities for improvement in trauma care using machine learning: a retrospective registry-based study at a major trauma centre.

Journal: BMJ open
Published Date: Jun 6, 2025

Abstract

OBJECTIVE: To develop models to predict opportunities for improvement in trauma care and compare the performance of these models to the currently used audit filters.

Authors

  • Jonatan Attergrim
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden jonatan.attergrim@ki.se.
  • Kelvin Szolnoky
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Lovisa Strömmer
    Department of Surgery, Capio S:t Görans Hospital, Stockholm, Sweden.
  • Olof Brattström
    Department of Anesthesiology, Mora Hospital, Mora, Sweden.
  • Gunilla Wihlke
    Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
  • Martin Jacobsson
    Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Martin Gerdin Wärnberg
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.

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