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EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department

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Biomedical and Computational Biology (BECB 2022)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13637))

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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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Authors and Affiliations

  1. Department of Public Health, University of Naples “Federico II”, Naples, Italy

    Giovanni Improta, Mario Alessandro Russo & Maria Triassi

  2. Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples “Federico II”, Naples, Italy

    Giovanni Improta & Maria Triassi

  3. “Betania” Evangelical Hospital, Naples, Italy

    Vincenzo Bottino, Elvira Baiano & Maria Anna Stingone

Authors
  1. Giovanni Improta
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  2. Vincenzo Bottino
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  3. Elvira Baiano
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  4. Mario Alessandro Russo
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  5. Maria Anna Stingone
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  6. Maria Triassi
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Corresponding author

Correspondence to Giovanni Improta .

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Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Shiping Wen

  2. Nanchang Hangkong University, Nanchang, China

    Cihui Yang

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Improta, G., Bottino, V., Baiano, E., Russo, M.A., Stingone, M.A., Triassi, M. (2023). EDWIN and NEDOCS Indices to Study Patient Flow in Emergency Department. In: Wen, S., Yang, C. (eds) Biomedical and Computational Biology. BECB 2022. Lecture Notes in Computer Science(), vol 13637. Springer, Cham. https://doi.org/10.1007/978-3-031-25191-7_29

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  • DOI: https://doi.org/10.1007/978-3-031-25191-7_29

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  • Online ISBN: 978-3-031-25191-7

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