Emergency Department Trends and Outcomes: A Data-Driven Analysis
Date
Authors
Rasouli Panah, Hamidreza
Madanian, Samaneh
Yu, Jian
Ijadi Maghsoodi, Abtin
Supervisor
Item type
Journal Article
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Journal Title
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Publisher
IOS Press
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.Description
Keywords
Data Analysis, ED Operations, Emergency Department, Length of Stay, Waiting Time, Data Analysis, ED Operations, Emergency Department, Length of Stay, Waiting Time, 4203 Health Services and Systems, 42 Health Sciences, Emergency Care, Patient Safety, Clinical Research, Health Services, Generic health relevance, 3 Good Health and Well Being, 0807 Library and Information Studies, 1117 Public Health and Health Services, Medical Informatics, 4203 Health services and systems, 4601 Applied computing
Source
Studies in Health Technology and Informatics, ISSN: 0926-9630 (Print); 0926-9630 (Online), IOS Press, 329, 505-509. doi: 10.3233/SHTI250891
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Rights statement
© 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).