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Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation

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Redeker_2017_Estimating_capacity_WIM2017_AAM.pdf (350.7Kb)
Date
02/07/2017
Author
Redeker, Guilherme
Webber, Thais
Czekster, Ricardo
Quickert, Sandra
Bowles, Juliana Kuster Filipe
Keywords
QA75 Electronic computers. Computer science
R Medicine (General)
NS
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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.
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 >
 
workshop
 
Publication
Anais XXXVII Congresso da Sociedade Brasileira de Computação
Type
Conference item
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
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  • University of St Andrews Research
URL
http://csbc2017.mackenzie.br/anais
URI
http://hdl.handle.net/10023/10836

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