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

Decision Support for Health Professionals (1555) Orthopedics (100) Surgery, Trauma and Surgical Sciences (204) Design of Processes and Workflows (192) Machine Learning (2094) Tools, Programs and Algorithms (384) Artificial Intelligence in Surgery and Perioperative Medicine (43) Clinical Information and Decision Making (1934)

Published on in Vol 13 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70857, first published .
Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Using Machine Learning to Predict-Then-Optimize Elective Orthopedic Surgery Scheduling to Improve Operating Room Utilization: Retrospective Study

Authors of this article:

Johnathan R Lex1, 2, 3 Author Orcid Image ;   Aazad Abbas1, 2, 3 Author Orcid Image ;   Jacob Mosseri1, 4 Author Orcid Image ;   Jay Singh Toor5, 6 Author Orcid Image ;   Michael Simone1, 4 Author Orcid Image ;   Bheeshma Ravi3, 7 Author Orcid Image ;   Cari Whyne1, 2, 3, 7 Author Orcid Image ;   Elias B Khalil4 Author Orcid Image
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Journals

  1. Yao X, Rao A, Padman R. Analytical approaches for medication management for patient safety: a scoping review. npj Health Systems 2025;2(1) View