Novel Machine Learning Approach to Identify Preoperative Risk Factors Associated With Super-Utilization of Medicare Expenditure Following Surgery.

Journal: JAMA surgery
Published Date: Nov 1, 2019

Abstract

IMPORTANCE: Typically defined as the top 5% of health care users, super-utilizers are responsible for an estimated 40% to 55% of all health care costs. Little is known about which factors may be associated with increased risk of long-term postoperative super-utilization.

Authors

  • J Madison Hyer
    Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH.
  • Aslam Ejaz
    Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH. Electronic address: aslam.ejaz@osumc.edu.
  • Diamantis I Tsilimigras
    Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Anghela Z Paredes
    Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
  • Rittal Mehta
    Department of Surgery, Division of Surgical Oncology, Wexner Medical Center and James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
  • Timothy M Pawlik
    Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Cancer Hospital and Solove Research Institute, Columbus, OH.

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