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2023 | OriginalPaper | Buchkapitel

EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department

verfasst von : Giovanni Improta, Vincenzo Bottino, Elvira Baiano, Mario Alessandro Russo, Maria Anna Stingone, Maria Triassi

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

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Abstract

Overcrowded Emergency Department (ED) is a common as well as widespread public health problem around the world. In order to implement strategies to counter the most critical situations, however, it is first necessary to expand knowledge on the subject. Among the strategies proposed in the literature, scoring systems are widely used to detect the problem. In this study, the National ED Overcrowding Scale (NEDOCS) and ED Work Index (EDWIN) indices are used to study the ED situation in the Evangelical Hospital “Betania” in Naples (Italy) in a typical week in the year 2019. The results show that among the indices the most accurate is NEDOCS, which is able to highlight an overcrowding situation in 11% of the cases.

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Titel: EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department
verfasst von: Giovanni Improta
Vincenzo Bottino
Elvira Baiano
Mario Alessandro Russo
Maria Anna Stingone
Maria Triassi
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_29

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