The decrease of ED patient boarding by implementing a stock management policy in hospital admissions
Sebastián Jaén
Operations Research Perspectives, 2024, vol. 12, issue C
Abstract:
The presence of congestion is a common scenario in tertiary-level hospitals worldwide. Current research suggests that an increase in hospital bed capacity is not a long-term solution given that patient demand adapts to added capacity. Recent literature suggests the need for the implementation of a policy of inter-hospital transfers to divert patients to outpatient priority services or home care. This policy has proven to be effective in reducing ED boarding without compromising patient safety. However, determining the required number of patients to be admitted is key. The dynamic nature of hospital bed availability and discharges requires an admission process able to be in synchrony with those variations. A mismatch between patient demand and hospital admissions will result in either ED boarding or idle capacity. The purpose of this paper is to introduce a methodology to support the process of hospital admissions by providing as an input a threshold for the number of patients to be admitted. The methodology is tested using a system dynamics model that replicates one year of operations of a tertiary-level hospital. The simulations reveal the potential of the methodology to decrease the ED inpatient boarding rate as well as ED and hospital length of stay.
Keywords: Inpatient boarding time; Hospital overcrowding; Bed capacity planning; Inpatient flow; System dynamics; Operations research (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214716024000022
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:12:y:2024:i:c:s2214716024000022
DOI: 10.1016/j.orp.2024.100298
Access Statistics for this article
Operations Research Perspectives is currently edited by Rubén Ruiz Garcia
More articles in Operations Research Perspectives from Elsevier
Bibliographic data for series maintained by Catherine Liu ().