Health AI Central
Peer-Reviewed Publication
Ann Surg Open2025;6(1):e547.March 1, 2025Journal Article

Development of Multiservice Machine Learning Models to Predict Postsurgical Length of Stay and Discharge Disposition at the Time of Case Posting.

Hamed Zaribafzadeh1, T Clark Howell1, Wendy L Webster2, Christopher J Vail1, Allan D Kirk1, Peter J Allen1, Ricardo Henao3, Daniel M Buckland4,5
1From the Department of Surgery, Duke University, Durham, NC.
2Perioperative Services, Duke University Health System, Durham, NC.
3Department of Biostatistics and Bioinformatics, Duke University, Durham, NC.
4Department of Emergency Medicine, Duke University, Durham, NC.
5Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC.
PubMed PMC DOI PDF

Abstract

OBJECTIVE: Develop machine learning (ML) models to predict postsurgical length of stay (LOS) and discharge disposition (DD) for multiple services with only the data available at the time of case posting. BACKGROUND: Surgeries are scheduled largely based on operating room resource availability with little attention to downstream resource availability such as inpatient bed availability and the care…

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