Factors impacting patient flows in the emergency department

dc.contributor.authorLopes, Erik Teixeira
dc.contributor.authorFernandes, Leonor Taborda
dc.contributor.authorCunha, Pedro G.
dc.contributor.authorGonçalves, Bruno S.
dc.contributor.authorLima, Rui M.
dc.date.accessioned2026-09-28T18:03:00Z
dc.date.issued2025-10-16
dc.date.updated2026-09-27T12:00:16Z
dc.descriptionThe authors confirm that the data supporting the findings of this study are available within the article.
dc.description.abstractPurpose – Emergency departments (EDs) are essential to hospital operations, involving complex processes and interactions with several hospital departments. As the entry point for many patients, EDs often face challenges such as overcrowding, staffing shortages and disruptions to patient flow, all of which negatively impact patient satisfaction. This paper aims to use discrete-event simulation and lean healthcare to analyse patient flows, exploring multiple scenarios to improve both patient experience and operations management. Design/methodology/approach – Researchers combined Lean principles with discrete-event simulation to model the entire patient flow through the ED and its interactions with other hospital departments. Various scenarios were simulated to explore potential improvements in resource allocation, inpatient admissions and reductions in non-urgent cases. Findings – This study demonstrates that reducing wait times for inpatient admissions significantly decreases all ED patients’ average length of stay (ALOS). Furthermore, reducing the number of non-urgent patient admissions has a substantial impact on ED metrics, as these patients represent over 40% of admissions and consume significant resources. Overall, combining all improvements led to a reduction in ALOS by more than 30%. Originality/value – This paper uses simulation to characterise ED operations and assess the influence of other hospital departments on patient flow. This approach provides a quantitative understanding of the role these departments play in ED overcrowding. In addition, this study compares different patient workflow characteristics and their effects, highlighting the importance of workflow decisions in shaping patient experiences.
dc.description.sponsorshipThis work was partially supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Unit Project Scope UID/00319/Centro ALGORITMI (ALGORITMI/UM).
dc.distributioninternational
dc.identifier.citationLopes, E. T., Fernandes, L. T., Cunha, P. G., Gonçalves, B. S., & Lima, R. M. (2025). Factors impacting patient flows in the emergency department. International Journal of Lean Six Sigma, 16(6), 1448–1468. https://doi.org/10.1108/ijlss-10-2024-0219
dc.identifier.doi10.1108/IJLSS-10-2024-0219
dc.identifier.eissn2040-4174
dc.identifier.issn2040-4166
dc.identifier.urihttps://hdl.handle.net/1822/103852
dc.language.isoeng
dc.peerreviewedyes
dc.publisherEmerald
dc.relationALGORITMI Research Center [UID/00319/2025]
dc.relation.hasversionhttps://www.emerald.com/ijlss/article/16/6/1448/1251797/Factors-impacting-patient-flows-in-the-emergency
dc.rightsopenAccess
dc.subjectBusiness process management
dc.subjectDiscrete-event simulation
dc.subjectEmergency department
dc.subjectLean healthcare
dc.subjectOperations management
dc.titleFactors impacting patient flows in the emergency department
dc.typearticle
dspace.entity.typePublication
oaire.awardNumberUID/00319/2025
oaire.awardTitleALGORITMI Research Center [UID/00319/2025]
oaire.awardURIhttps://hdl.handle.net/1822/101975
oaire.citationEndPage1468
oaire.citationIssue6
oaire.citationStartPage1448
oaire.citationVolume16
oaire.funderIdentifierhttp://doi.org/10.13039/501100001871
oaire.funderNameFundação para a Ciência e a Tecnologia, I.P.
oaire.fundingStreamAvaliação UID 2023/2024
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
relation.isProjectOfPublication728a30f7-1f44-4b71-bc82-6bc0cbfbe1a0
relation.isProjectOfPublication.latestForDiscovery728a30f7-1f44-4b71-bc82-6bc0cbfbe1a0
sdum.export.identifier21049
sdum.journalInternational Journal of Lean Six Sigma

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