Identifying patients at risk of increased health utilization following lumbar spine surgery.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Published Date: Jun 11, 2025

Abstract

BACKGROUND: Adequate preoperative identification of patients at risk of significant healthcare utilization after surgery could help guide preoperative decision-making as well as postoperative patient management. While several studies have proposed mechanisms and risk factors for healthcare utilization, no studies have developed a prognostic machine learning model to quantify and functionalize predictions.

Authors

  • Rushmin Khazanchi
    Department of Orthopaedic Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL.
  • Divy Kumar
    Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Anitesh Bajaj
  • Robert J Oris
    Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Austin R Chen
  • Daniel E Herrera
    Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Rohan M Shah
  • Shravan Asthana
    Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Samuel G Reyes
  • Pranav Bajaj
    Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
  • Wellington K Hsu
  • Alpesh A Patel
  • Srikanth N Divi

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