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Predicting Surgery Duration in a Public Hospital Using Machine Learning: A Retrospective Evaluation of Models for Operating Room Scheduling Support

2026-06-01

Abstract excerpt

<title>Abstract</title> <p>Objectives Operating rooms are among the most resource-intensive hospital assets, and inaccurate surgery duration estimates lead to scheduling inefficiencies, cancellations, and extended waiting lists. Traditional estimation methods fail to account for patient heterogeneity and contextual variability. This study develops and compares machine learning (ML) models to predict surgery dura...

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Literature Corpus work: 4074f31b-efb4-5a4e-b2f5-cf7109ffbe47
DOI: 10.21203/rs.3.rs-9640962/v1

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