Machine Learning Prediction Models to Reduce Length of Stay at Ambulatory Surgery Centers Through Case Resequencing

The post-anesthesia care unit (PACU) length of stay is an important perioperative efficiency metric. The aim of this study was to develop machine learning models to predict ambulatory surgery patients at risk for prolonged PACU length of stay - using only pre-operatively identified factors - and the...

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Detalles Bibliográficos
Autores principales: Tully, Jeffrey L., Zhong, William, Simpson, Sierra, Curran, Brian P., Macias, Alvaro A., Waterman, Ruth S., Gabriel, Rodney A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333394/
https://www.ncbi.nlm.nih.gov/pubmed/37428267
http://dx.doi.org/10.1007/s10916-023-01966-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333394/
https://www.ncbi.nlm.nih.gov/pubmed/37428267
http://dx.doi.org/10.1007/s10916-023-01966-9

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