Article

Machine Learning to Predict-Then-Optimize Elective Orthopaedic Surgery Scheduling Improves Operating Room Utilization

2024-08-11

Abstract excerpt

<h4>Objective</h4> To determine the potential for improving elective surgery scheduling for total knee and hip arthroplasty (TKA and THA, respectively) by utilizing a two-stage approach that incorporates machine learning (ML) prediction of the duration of surgery (DOS) with scheduling optimization. <h4>Materials and Methods</h4> Two ML models (for TKA and THA) were trained to predict DOS using patient factors base...

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Literature Corpus work: 7f09bf1e-f7ba-5647-8012-7a6fe883e1e8
DOI: 10.1101/2024.08.10.24311370

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