Duration of Care and Operative Time Are the Primary Drivers of Total Charges After Ambulatory Hip Arthroscopy: A Machine Learning Analysis.

Journal: Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Published Date: Jul 1, 2022

Abstract

PURPOSE: To develop a machine learning algorithm to predict total charges after ambulatory hip arthroscopy and create a risk-adjusted payment model based on patient comorbidities.

Authors

  • Yining Lu
    Department of Orthopaedic Surgery, Mayo Clinic, Rochester, Minnesota, U.S.A.. Electronic address: lu.yining@mayo.edu.
  • Ophelie Lavoie-Gagne
    Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Enrico M Forlenza
    Rush University Medical Center, Chicago, Illinois, U.S.A.
  • Ayoosh Pareek
    Department of Orthopaedic Surgery and Sports Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Kyle N Kunze
    Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA.
  • Brian Forsythe
    Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Bruce A Levy
    Department of Orthopaedic Surgery, Mayo Clinic, Rochester, Minnesota, U.S.A.
  • Aaron J Krych
    Orthopedic Surgery, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.

Keywords

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