Factors that predict emergency department length of stay in analysis of national data
Prolonged ED LOS is influenced by a combination of patient demographics, clinical severity, and systemic factors. Targeted interventions for older adults, severe illness, and operational inefficiencies such as hospital transfers are essential for reducing ED LOS and improving overall emergency care delivery.
Authors
- Junsang Yoo (ORCID: https://orcid.org/0000-0003-2331-7644)
- Eunsil Ko (ORCID: https://orcid.org/0000-0001-5959-5545)
- Hansol Chang (ORCID: https://orcid.org/0000-0002-2624-0008)
- Doyeop Kim (ORCID: https://orcid.org/0000-0003-4437-2538)
- Jin‐Hee Lee (ORCID: https://orcid.org/0000-0002-2556-5484)
- S. T. Lee
- Minyoung Choi (ORCID: https://orcid.org/0000-0001-8405-1777)
- Seong Jung Kim (ORCID: https://orcid.org/0000-0003-2935-5334)
- Minha Kim (ORCID: https://orcid.org/0000-0002-7178-0812)
- Tae Gun Shin (ORCID: https://orcid.org/0000-0001-9657-1040)
Institutions
- Kangwon National University (KR)
- Samsung (South Korea) (KR)
- Samsung Medical Center (KR)
- Chosun University Hospital (KR)
- National Medical Center (KR)
- Ajou University (KR)
- Sungkyunkwan University (KR)
Publication Details
- Journal
- Clinical and Experimental Emergency Medicine
- Published
- 2024-10-16
- DOI
- https://doi.org/10.15441/ceem.24.309
- Citations
- 8
- Primary Topic
- Diverse Approaches in Healthcare and Education Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.34
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea