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Emergency Department Trends and Outcomes: A Data-Driven Analysis

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  • Additional Information
    • Publication Information:
      IOS Press
    • Publication Date:
      2025
    • Collection:
      Auckland University of Technology: AUT Scholarly Commons
    • Abstract:
      This study analyzes hospital Emergency Department (ED) data from 2016 to 2024, examining trends in Waiting Times (WT), Lengths of Stay (LoS), and patient outcomes. WT and LoS increased after the pandemic, indicating operational issues, even though patient volumes remained consistent throughout the whole period. Longer delays were observed on weekends and throughout the colder months, according to temporal analysis. Younger age groups and NZ European/Pākehā and Māori populations dominated ED visits, with older patients experiencing higher mortality rates. Mortality analysis revealed an inverse relationship between WT and patient mortality, with extended LoS correlating with increased severity. The results emphasize the use of predictive analytics to enhance healthcare equity and optimize ED operations.
    • File Description:
      application/pdf
    • Relation:
      https://hdl.handle.net/10292/19679
    • Accession Number:
      10.3233/SHTI250891
    • Online Access:
      https://hdl.handle.net/10292/19679
      https://doi.org/10.3233/SHTI250891
    • Rights:
      © 2025 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). ; OpenAccess ; https://creativecommons.org/licenses/by-nc/4.0/deed.en_US
    • Accession Number:
      edsbas.3853563F