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2023 | OriginalPaper | Buchkapitel

Regression Model to Predict LOS in General Medicine Department: A Bicentric Study

verfasst von : Emma Montella, Marta Rosaria Marino, Cristiana Giglio, Giuseppe Longo, Eliana Raiola, Maria Triassi, Anna Borrelli, Antonio Saverio Valente

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

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Abstract

The Department of General Medicine deals with patients suffering from various acute or chronic pathologies coming from home, from the emergency room or from specialized departments. The length of stay (LOS) is a useful tool to monitor patients and for evaluating the efficiency and quality of the services offered. This study was conducted with the aim of providing LOS for all patients who were admitted in the General Medicine Department at the University Hospital “San Giovanni di Dio e Ruggi d’Aragona” in Salerno (Italy) and the A.O.R.N. “Antonio Cardarelli” in Naples (Italy). Our aim concerns the comparison between the LOS estimation in two different hospitals located in Campania Region. The analysis was conducted with Multiple Linear Regression analysis, in particular for the former an R2 equal to 0.764 was obtained and for the latter a value of R2 equal to 0.712.

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Titel: Regression Model to Predict LOS in General Medicine Department: A Bicentric Study
verfasst von: Emma Montella
Marta Rosaria Marino
Cristiana Giglio
Giuseppe Longo
Eliana Raiola
Maria Triassi
Anna Borrelli
Antonio Saverio Valente
Verlag: Springer International Publishing
Buch: Biomedical and Computational Biology
Print ISBN: 978-3-031-25190-0

Electronic ISBN: 978-3-031-25191-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-25191-7_56

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