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Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation
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dc.contributor.author | Redeker, Guilherme | |
dc.contributor.author | Webber, Thais | |
dc.contributor.author | Czekster, Ricardo | |
dc.contributor.author | Quickert, Sandra | |
dc.contributor.author | Bowles, Juliana Kuster Filipe | |
dc.date.accessioned | 2017-05-24T10:30:10Z | |
dc.date.available | 2017-05-24T10:30:10Z | |
dc.date.issued | 2017-07-02 | |
dc.identifier.citation | Redeker , 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 . < http://csbc2017.mackenzie.br/anais > | en |
dc.identifier.citation | workshop | en |
dc.identifier.other | PURE: 250067691 | |
dc.identifier.other | PURE UUID: 804bc5b5-b32f-4f99-909f-e4aacf1c6a2b | |
dc.identifier.other | ORCID: /0000-0002-5918-9114/work/58055290 | |
dc.identifier.uri | https://hdl.handle.net/10023/10836 | |
dc.description.abstract | Healthcare 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.iso | eng | |
dc.publisher | Sociedade Brasileira de Computação (SBC) | |
dc.relation.ispartof | Anais XXXVII Congresso da Sociedade Brasileira de Computação | en |
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/anais | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | R Medicine (General) | en |
dc.subject | NS | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | R1 | en |
dc.title | Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation | en |
dc.type | Conference item | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.url | http://csbc2017.mackenzie.br/anais | en |
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