Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66598, first published .
Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Lillian Rountree   1 , BA ;   Yi-Ting Lin   1 , ScM ;   Chuyu Liu   2 , MS ;   Maxwell Salvatore   3 , PhD ;   Andrew Admon   4 , MD ;   Brahmajee Nallamothu   5 , MD ;   Karandeep Singh   6 , MD ;   Anirban Basu   7 , PhD ;   Fan Bu   1 , PhD ;   Bhramar Mukherjee   8 , PhD

1 Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States

2 Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, United States

3 Departments of Biostatistics, Epidemiology, and Informatics and Genetics, University of Pennsylvania, Philadelphia, PA, United States

4 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States

5 Institute for Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, United States

6 Department of Medicine, School of Medicine, University of California San Diego, San Diego, CA, United States

7 The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, School of Pharmacy, University of Washington, Seattle, WA, United States

8 Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, United States

Corresponding Author:

  • Bhramar Mukherjee, PhD
  • Department of Biostatistics
  • Yale School of Public Health
  • Yale University
  • 60 College St
  • New Haven, CT, 06510
  • United States
  • Phone: 1 2037378644
  • Email: bhramar.mukherjee@yale.edu