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

Decision Support for Health Professionals (1447) Surgical Treatment Planning (17) Adoption and Change Management of eHealth Systems (855) Case Study (33) Machine Learning (1927) Organizational Issues (204)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57231, first published .
Enhancing Surgery Scheduling in Health Care Settings With Metaheuristic Optimization Models: Algorithm Validation Study

Enhancing Surgery Scheduling in Health Care Settings With Metaheuristic Optimization Models: Algorithm Validation Study

Enhancing Surgery Scheduling in Health Care Settings With Metaheuristic Optimization Models: Algorithm Validation Study

Authors of this article:

João Lopes1 Author Orcid Image ;   Tiago Guimarães1 Author Orcid Image ;   Júlio Duarte1 Author Orcid Image ;   Manuel Santos1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Mansoor M, Ibrahim A. The Transformative Role of Artificial Intelligence in Plastic and Reconstructive Surgery: Challenges and Opportunities. Journal of Clinical Medicine 2025;14(8):2698 View
  2. Crawford B, Cisternas-Caneo F, Soto R, Mac-lean C, Lara Arce J, Solís-Piñones F, Astorga G, Giachetti G. Binary Secretary Bird Optimization Algorithm for the Set Covering Problem. Mathematics 2025;13(15):2482 View
  3. Shaban A, Ahmed D. From Paper to Platform: Evaluating the Shift From Manual to Electronic Surgical Booking in a Large Hospital Setting. Cureus 2025 View