MRI algorithm for medical necessity for auto accident injured patients

Shande Chen1, James E Laughlin

  • 1Department of Biostatistics, University of North Texas Health Science Center, Fort Worth, TX 76107, USA. schen@hsc.unt.edu

Abstract

Insights

Orthopaedic surgeons order significantly fewer MRIs for soft tissue injuries than non-surgeons. Implementing an MRI necessity algorithm or early referral to orthopaedics can reduce healthcare costs.

Area of Science:

  • Orthopaedic Surgery
  • Radiology
  • Health Economics

Background:

  • Magnetic resonance imaging (MRI) is a common diagnostic tool for personal injuries.
  • However, MRI utilization significantly contributes to rising healthcare expenditures.
  • Evaluating the necessity of MRI is crucial for cost containment.

Purpose of the Study:

  • To compare MRI ordering rates between orthopaedic surgeons and non-surgeon referring providers.
  • To develop a medical necessity algorithm for MRI to reduce unnecessary imaging in personal injury cases.

Main Methods:

  • Retrospective study of 2000 patients with soft tissue injuries not requiring surgery.
  • Comparison of MRI ordering percentages between direct orthopaedic consultation (1000 patients) and referral (1000 patients).
  • Statistical analysis using Chi-square and McNemar's tests to compare MRI ordering rates.

Main Results:

  • A significant disparity in MRI ordering was observed between orthopaedic surgeons and referring non-surgeons.
  • Orthopaedic surgeons ordered substantially fewer MRIs (P < 0.001).
  • Analysis showed variations in MRI ordering across different body regions.

Conclusions:

  • Orthopaedic surgeons demonstrate a more conservative approach to MRI ordering for soft tissue injuries.
  • Adopting a medical necessity algorithm or early orthopaedic referral can decrease unnecessary MRI utilization.
  • These strategies have the potential to significantly reduce healthcare costs for patients with personal injuries.

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