Predicting surgical department occupancy and patient length of stay in a paediatric hospital setting using machine learning: a pilot study

OBJECTIVE: Early and accurate prediction of hospital surgical-unit occupancy is critical for improving scheduling, staffing and resource planning. Previous studies on occupancy prediction have focused primarily on adult healthcare settings, we sought to develop occupancy prediction models specifical...

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Detalles Bibliográficos
Autores principales: Barak Corren, Yuval, Merrill, Joshua, Wilkinson, Ronald, Cannon, Courtney, Bickel, Jonathan, Reis, Ben Y
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453987/
http://dx.doi.org/10.1136/bmjhci-2021-100498

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453987/
http://dx.doi.org/10.1136/bmjhci-2021-100498

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