Emergency medicine is a discipline that today is increasingly the focus of attention. In the emergency department, to avoid overcrowding, it is important to assess the Length of the Stay (LOS). 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 of Emergency Medicine unit of 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 is to evaluate the procedures about LOS in two different hospitals, also comparing the obtained results The analysis was conducted with Multiple Linear Regression. In particular for the second an R2 equal to 0.880 was obtained.

Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization / Valente, A. S.; Marino, M. R.; Majolo, M.; Longo, G.; Balato, G.; Festa, E.; Borrelli, A.; Triassi, M.; Amato, F.; Romano, M.. - 13637 LNBI:(2023), pp. 552-559. (Intervento presentato al convegno Biomedical Engineering and Computational Biology: Second International Symposium, BECB 2022, 552—559 tenutosi a virtual event nel 13-15 agosto 2022) [10.1007/978-3-031-25191-7_54].

Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization

Valente A. S.;Marino M. R.;Balato G.;Festa E.;Triassi M.;Amato F.;Romano M.
2023

Abstract

Emergency medicine is a discipline that today is increasingly the focus of attention. In the emergency department, to avoid overcrowding, it is important to assess the Length of the Stay (LOS). 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 of Emergency Medicine unit of 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 is to evaluate the procedures about LOS in two different hospitals, also comparing the obtained results The analysis was conducted with Multiple Linear Regression. In particular for the second an R2 equal to 0.880 was obtained.
2023
978-3-031-25190-0
978-3-031-25191-7
Multiple Linear Regression to Analyze the Effect of Emergency Diagnostic Procedures on the Hospitalization / Valente, A. S.; Marino, M. R.; Majolo, M.; Longo, G.; Balato, G.; Festa, E.; Borrelli, A.; Triassi, M.; Amato, F.; Romano, M.. - 13637 LNBI:(2023), pp. 552-559. (Intervento presentato al convegno Biomedical Engineering and Computational Biology: Second International Symposium, BECB 2022, 552—559 tenutosi a virtual event nel 13-15 agosto 2022) [10.1007/978-3-031-25191-7_54].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/931943
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