Precision Opioid Prescription in ICU Surgery: Insights from an Interpretable Deep Learning Framework.

Journal: Journal of surgery (Lisle, IL)
Published Date:

Abstract

PURPOSE: Appropriate opioid management is crucial to reduce opioid overdose risk for ICU surgical patients, which can lead to severe complications. Accurately predicting postoperative opioid needs and understanding the associated factors can effectively guide appropriate opioid use, significantly enhancing patient safety and recovery outcomes. Although machine learning models can accurately predict postoperative opioid needs, lacking interpretability hinders their adoption in clinical practice.

Authors

  • Xiaoning Zhu
    Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Isaac Luria
    Department of Anesthesiology, University of Florida, Gainesville, FL, USA.
  • Patrick Tighe
    Departments of Anesthesiology & Orthopaedic Surgery, University of Florida, Gainesville, FL, USA.
  • Fei Zou
    Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Baiming Zou
    Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Keywords

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