Abstract
Ensuring satisfactory service for a patient in the emergency department (ED) setting is challenging. Long wait times have been shown to be associated with dissatisfaction with ED care. A prolonged stay may be closely related to phenomena such as overcrowding and abandonment, which result in significant consequences for both staff and patients. Therefore, many studies in the literature have focused on optimizing ED flow, using parameters such as ED-LOS and abandonment rate. In this study, tools such as statistical analysis and logistic regression were implemented to analyze ED-LOS at the ED of Evangelical Hospital “Betania” of Naples (Italy) in the year 2019. The results showed that an ED-LOS beyond the expected limits was observed in patients with higher mean age, discharged at home or hospitalized and with non-critical conditions recorded during triage.
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Improta, G., Bottino, V., Sciambra, A., Russo, M. A., Stingone, M. A., & Triassi, M. (2023). Data Analysis to Study the Prolonged ED-LOS: The Case of Evangelical Hospital “Betania.” In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13637 LNBI, pp. 384–391). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25191-7_34
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