Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68436, first published .
Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Yuan-Hsin Chen   1 * , MPH, MD ;   Ching-Hsuan Lin   2 * , MPH, MD ;   Chiao-Hsin Fan   3 , MS ;   An Jim Long   3 , PhD ;   Jeremiah Scholl   3 , PhD ;   Yen-Pin Kao   4 , MD ;   Usman Iqbal   5 , MBA, PharmD, PhD ;   Yu-Chuan Jack Li   4, 6, 7, 8 , MD, PhD

1 Department of Surgery, Massachusetts General Hospital, Boston, MA, United States

2 Center for the Evaluation of Value and Risk in Health, Tufts Medical Center, Boston, MA, United States

3 AESOP Technology Inc, Taipei, Taiwan

4 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, Taiwan

5 School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia

6 International Center for Health Information and Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan

7 Department of Dermatology, Wan Fang Hospital, Taipei, Taiwan

8 Research Center for Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Yu-Chuan Jack Li, MD, PhD
  • Graduate Institute of Biomedical Informatics
  • College of Medical Science and Technology
  • Taipei Medical University
  • No. 301, Yuantong Rd. Zhonghe Dist
  • New Taipei City, 235
  • Taiwan
  • Phone: 886 266382736
  • Email: jack@tmu.edu.tw