Deep learning predicts postoperative opioids refills in a multi-institutional cohort of surgical patients.

Journal: Surgery
PMID:

Abstract

BACKGROUND: To combat the opioid epidemic, several strategies were implemented to limit the unnecessary prescription of opioids in the postoperative period. However, this leaves a subset of patients who genuinely require additional opioids with inadequate pain control. Deep learning models are powerful tools with great potential of optimizing health care delivery through a patient-centered focus. We sought to investigate whether deep learning models can be used to predict patients who would require additional opioid prescription refills in the postoperative period after elective surgery.

Authors

  • Hojjat Salehinejad
  • Hala Muaddi
    Division of General Surgery, Department of Surgery, University of Toronto, Toronto, Canada.
  • Dan S Ubl
    Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN.
  • Vidit Sharma
    Mayo Clinic, Rochester, MN 55905, USA.
  • Cornelius A Thiels
    Department of Surgery, Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA.