Patient Flow: Reducing Delay in Healthcare Delivery
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Even though hospitals often aim to maintain 85% bed occupancy, they still face congestion as patient needs change unexpectedly or patients are not properly distributed across the departments.
“Even though hospitals often aim to maintain 85% bed occupancy, they still face congestion as patient needs change unexpectedly or patients are not properly distributed across the departments [292].”
From Toward Safer Diagnoses: A SEIPS-Based Narrative Review of Diagnostic Errors (2026) · cites this paper as [292]
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- Authors
- Hall, R. W.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Randolph W. Hall
- ORCID
- Randolph W. Hall
- Venue
- International Series in Operations Research & Management Science
- Publisher
- Springer US
- Published
- 2006
- ISSN
- 0884-8289 (ISSN-L)
- OpenAlex
- W1589440227
- Cited by
- 243
- References
- 0
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 5 · 2023: 3 · 2022: 3 · 2021: 10 · 2020: 15 · 2019: 15 · 2018: 6 · 2017: 20 · 2016: 22 · 2015: 18 · 2014: 16 · 2013: 27 · 2012: 15
- FWCI
- 7.71
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- Locations
- International series in management science/operations research/International series in operations research & management science (publishedVersion)
- Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
- Funders
- U.S. Department of Homeland Security
- Topics
- Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Health Sciences › Health Professions › Health Information Management › Healthcare Quality and Management
- Keywords
- patient flow, emergency department overcrowding, triage, workforce scheduling, discrete event simulation, queueing analysis, medical supplies distribution, patient satisfaction, healthcare demand forecasting, continuum of care, hospital logistics, process improvement
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