A Real-Time Automated Machine Learning Algorithm for Predicting Mortality in Trauma Patients: Survey Says it's Ready for Prime-Time.

Journal: The American surgeon
Published Date: Oct 17, 2023

Abstract

BACKGROUND: Though artificial intelligence ("AI") has been increasingly applied to patient care, many of these predictive models are retrospective and not readily available for real-time decision-making. This survey-based study aims to evaluate implementation of a new, validated mortality risk calculator (Parkland Trauma Index of Mortality, "PTIM") embedded in our electronic healthrecord ("EHR") that calculates hourly predictions of mortality with high sensitivity and specificity.

Authors

  • Caroline Park
    Institute of Medical Science, University of Toronto, Toronto, Canada; Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Canada; Brain and Cognition Discovery Foundation, Toronto, Canada.
  • Sandra E Loza-Avalos
    Division of Burns, Trauma and Acute Care Surgery, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Jalen Harvey
    Division of Burns, Trauma and Acute Care Surgery, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Carol Hirschkorn
    Parkland Memorial Hospital, Dallas, TX, USA.
  • Linda A Dultz
    Division of Burns, Trauma and Acute Care Surgery, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Ryan P Dumas
    Department of Surgery, Division, Burn, Trauma, Acute and Critical Care Surgery, Parkland Memorial Hospital/UT Southwestern Medical Center, Dallas, TX.
  • Drew Sanders
    Department of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Vikas Chowdhry
    Parkland Memorial Hospital, Dallas, TX, USA.
  • Adam Starr
    Department of Orthopedic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Michael Cripps
    Division of Burns, Trauma and Acute Care Surgery, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.

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