This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2922) Clinical Informatics (1191) Machine Learning (1832) Tools, Programs and Algorithms (336) Safety and Error Prevention in Health (226)

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

Authors of this article:

Yuan-Hsin Chen1 Author Orcid Image ;   Ching-Hsuan Lin2 Author Orcid Image ;   Chiao-Hsin Fan3 Author Orcid Image ;   An Jim Long3 Author Orcid Image ;   Jeremiah Scholl3 Author Orcid Image ;   Yen-Pin Kao4 Author Orcid Image ;   Usman Iqbal5 Author Orcid Image ;   Yu-Chuan Jack Li4, 6, 7, 8 Author Orcid Image
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Journals

  1. Romaniello A, Blasi F, Iannetti L, Armentano M, D’Andrea M, Visioli G, Alisi L. Lessons from Ophthalmology in Preventing Wrong-Site Errors in Paired-Organ Surgery. Sci 2025;7(2):79 View