Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms

Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms

Abstract Introduction Accurate and timely discharge from the Post-Anesthesia Care Unit (PACU) is essential to prevent postoperative complications and optimize hospital resource utilization. Premature discharge can lead to severe issues such as respiratory or cardiovascular complications, while delay...

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Bibliographic Details
Main Authors: Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Post-anesthesia care unit
Machine learning
Discharge prediction
Length of stay
Recovery
Online Access:https://doi.org/10.1186/s12911-025-02982-0
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https://doi.org/10.1186/s12911-025-02982-0

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