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dc.contributor.authorRedeker, Guilherme
dc.contributor.authorWebber, Thais
dc.contributor.authorCzekster, Ricardo
dc.contributor.authorQuickert, Sandra
dc.contributor.authorBowles, Juliana Kuster Filipe
dc.date.accessioned2017-05-24T10:30:10Z
dc.date.available2017-05-24T10:30:10Z
dc.date.issued2017-07-02
dc.identifier.citationRedeker , G , Webber , T , Czekster , R , Quickert , S & Bowles , J K F 2017 , Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation . in Anais XXXVII Congresso da Sociedade Brasileira de Computação . Sociedade Brasileira de Computação (SBC) , pp. 1979-1982 , Workshop de Informática Médica (WIM) , São Paulo , Brazil , 2/07/17 .en
dc.identifier.citationworkshopen
dc.identifier.otherPURE: 250067691
dc.identifier.otherPURE UUID: 804bc5b5-b32f-4f99-909f-e4aacf1c6a2b
dc.identifier.otherORCID: /0000-0002-5918-9114/work/58055290
dc.identifier.urihttp://hdl.handle.net/10023/10836
dc.description.abstractHealthcare involves complex decision making from planning to resource management. Resources in hospitals are usually allocated by experienced managers,however, due to an inherent process complexity, decisions are surrounded by uncertainties, variabilities, and constraints. Information Systems must be robust enough to provide support to stakeholders, capable of controlling and support work flows. The present work explores the required synergy when combining business processes with discrete event simulation. The objective is to estimate performance indices and address capacity management of a surgical center as a case study.
dc.language.isoeng
dc.publisherSociedade Brasileira de Computação (SBC)
dc.relation.ispartofAnais XXXVII Congresso da Sociedade Brasileira de Computaçãoen
dc.rights© 2017, Sociedade Brasileira de Computação (SBC). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. http://csbc2017.mackenzie.br/anaisen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectR Medicine (General)en
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccR1en
dc.titleEstimating capacity and resource allocation in healthcare settings using business process modelling and simulationen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.urlhttp://csbc2017.mackenzie.br/anaisen


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