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

Artificial Intelligence (5047) Design of Processes and Workflows (308) Specialist Training for Doctors (104) Pediatrics (283) Physician and Healthcare Worker Burnout (221) Applications of AI (1101)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88340, first published .
Nurse analyzes healthcare data on multiple computer screens in a modern office.

Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study

Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study

Authors of this article:

David Gilad1 Author Orcid Image ;   Tzofnat Farbstein-Aljanati1 Author Orcid Image ;   Reut Kassif Lerner1 Author Orcid Image ;   Moshe Ashkenazi1 Author Orcid Image ;   Itai M Pessach1 Author Orcid Image
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Journals

  1. Wang X, Wang H. Hidden labor, monitoring, and exit burdens after hospital operational AI deployment: implications for resource-constrained Chinese hospitals. Frontiers in Medicine 2026;13 View