Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures.

Journal: Arthroplasty today
Published Date: Dec 28, 2023

Abstract

BACKGROUND: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce postdischarge adverse events such as unplanned hospital readmissions for patients who underwent total joint arthroplasty (TJA). This study aimed to predict 90-day TJA readmissions from our comprehensive electronic health record data and routinely collected patient-reported outcome measures.

Authors

  • Jaeyoung Park
    Booth School of Business, University of Chicago, Chicago, IL, USA.
  • Xiang Zhong
    Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA.
  • Emilie N Miley
    Department of Orthopaedic Surgery and Sports Medicine, University of Florida, Gainesville, FL, USA.
  • Rachel S Rutledge
    Department of Orthopaedic Surgery and Sports Medicine, University of Florida, Gainesville, FL, USA.
  • Jaquelyn Kakalecik
    Department of Orthopaedic Surgery and Sports Medicine, University of Florida, Gainesville, FL, USA.
  • Matthew C Johnson
    University of Florida College of Medicine, Gainesville, FL, USA.
  • Chancellor F Gray
    Florida Orthopaedic Institute, Gainesville, FL, USA.

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