The thesis focuses on the statistical analysis of ER accesses in the Veneto region, adopting both descriptive and predictive approaches. Aiming to understand the flows and try to make these environments more efficient, which have presented for many years overcrowding problems. That is a condition in which the normal functioning of the ER is prevented by the disproportion between the health demand, consisting of the number of patients waiting and in charge, and the available resources, whether physical, human, or structural. The main objective will therefore be to understand and make predictions regarding the access phenomenon using multi-seasonal time series models.
Il presente lavoro di tesi si focalizza sull’analisi statistica degli accessi al Pronto Soccorso della regione Veneto, adottando sia approcci descrittivi che previsionali. Così da comprendere i flussi e provare a rendere più efficienti questi ambienti che da molti anni presentano problematiche di sovraffollamento cioè una condizione in cui il normale funzionamento del Pronto Soccorso viene impedito dalla sproporzione tra la domanda sanitaria, costituita dal numero di pazienti in attesa e in carico, e le risorse disponibili, siano queste fisiche, umane o strutturali. L’obiettivo principale sarà dunque comprendere e fare previsione riguardo il fenomeno degli accessi utilizzando modelli per serie storiche multi-stagionali.
Analisi e previsione degli accessi al Pronto Soccorso attraverso modelli di serie storiche
SACCON, PIETRO
2023/2024
Abstract
The thesis focuses on the statistical analysis of ER accesses in the Veneto region, adopting both descriptive and predictive approaches. Aiming to understand the flows and try to make these environments more efficient, which have presented for many years overcrowding problems. That is a condition in which the normal functioning of the ER is prevented by the disproportion between the health demand, consisting of the number of patients waiting and in charge, and the available resources, whether physical, human, or structural. The main objective will therefore be to understand and make predictions regarding the access phenomenon using multi-seasonal time series models.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/71273