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dc.contributor.authorMaull, Roger S.en_GB
dc.contributor.authorSmart, Andien_GB
dc.contributor.authorHarris, A.en_GB
dc.contributor.authorKarasneh, A. Al-Fatahen_GB
dc.date.accessioned2012-02-21T12:24:09Zen_GB
dc.date.accessioned2013-03-19T16:06:52Z
dc.date.issued2009-07-14en_GB
dc.description.abstractThis longitudinal study provides primary evidence on the impact that a fast-track strategy in a hospital Emergency Department has on patient wait time. The study uses a discrete event simulation model to predict output within a variety of triage categories and compares these with post-implementation results. The results of the study indicate a significant reduction in patient wait time with 13.2% of the population waiting longer than 4 h prior to implementation compared with 1.4% post-implementation. However, while this fast-track strategy significantly improves service delivery to patients with minor conditions, service for patients with more acute conditions is not proportionately improved.en_GB
dc.identifier.citationVol. 29 (7), pp. 923-941en_GB
dc.identifier.doi10.1080/02642060902749534en_GB
dc.identifier.urihttp://hdl.handle.net/10036/3410en_GB
dc.language.isoenen_GB
dc.publisherRoutledgeen_GB
dc.subjectservice operationsen_GB
dc.subjectprocess designen_GB
dc.subjectdiscrete event simulationen_GB
dc.subjecthealthcareen_GB
dc.subjectperformance measurementen_GB
dc.subject'see and treat'en_GB
dc.subjectfast tracken_GB
dc.subjectNational Health Serviceen_GB
dc.titleAn evaluation of 'fast track' in AE: a discrete event simulation approachen_GB
dc.typeArticleen_GB
dc.date.available2012-02-21T12:24:09Zen_GB
dc.date.available2013-03-19T16:06:52Z
dc.identifier.issn0264-2069en_GB
dc.descriptionDraft version published as working paper; final version published in The Service Industries Journal, Vol 29, No. 5, 2009. Available online at https://doi.org/10.1080/02642060902749534en_GB
dc.identifier.journalThe Service Industries Journalen_GB


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