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

Guilherme Redeker; Thais Webber; Ricardo Czekster; Sandra Quickert; Juliana Kuster Filipe Bowles

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

Guilherme Redeker, Thais Webber, Ricardo Czekster, Sandra Quickert, Juliana Kuster Filipe Bowles

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Anais XXXVII Congresso da Sociedade Brasileira de Computação
Publisher	Sociedade Brasileira de Computação (SBC)
Pages	1979-1982
Publication status	Published - 2 Jul 2017
Event	Workshop de Informática Médica (WIM) - Campus Higienópolis da Universidade Presbiteriana Mackenzie, São Paulo, Brazil Duration: 2 Jul 2017 → 6 Jul 2017 Conference number: 17 http://csbc2017.mackenzie.br/eventos/17-wim

Workshop

Workshop	Workshop de Informática Médica (WIM)
Abbreviated title	WIM
Country/Territory	Brazil
City	São Paulo
Period	2/07/17 → 6/07/17
Internet address	http://csbc2017.mackenzie.br/eventos/17-wim

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Redeker-2017-Estimating-capacity-WIM2017_AAM
© 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
Accepted author manuscript, 351 KB

http://csbc2017.mackenzie.br/anais

Cite this

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title = "Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation",

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. ",

author = "Guilherme Redeker and Thais Webber and Ricardo Czekster and Sandra Quickert and Bowles, {Juliana Kuster Filipe}",

year = "2017",

month = jul,

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language = "English",

pages = "1979--1982",

booktitle = "Anais XXXVII Congresso da Sociedade Brasileira de Computa{\c c}{\~a}o",

publisher = "Sociedade Brasileira de Computa{\c c}{\~a}o (SBC)",

note = "Workshop de Inform{\'a}tica M{\'e}dica (WIM), WIM ; Conference date: 02-07-2017 Through 06-07-2017",

url = "http://csbc2017.mackenzie.br/eventos/17-wim",

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Redeker, G, Webber, T, Czekster, R, Quickert, S & Bowles, JKF 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>

Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation. / Redeker, Guilherme; Webber, Thais; Czekster, Ricardo et al.
Anais XXXVII Congresso da Sociedade Brasileira de Computação. Sociedade Brasileira de Computação (SBC), 2017. p. 1979-1982.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Estimating capacity and resource allocation in healthcare settings using business process modelling and simulation

AU - Redeker, Guilherme

AU - Webber, Thais

AU - Czekster, Ricardo

AU - Quickert, Sandra

AU - Bowles, Juliana Kuster Filipe

N1 - Conference code: 17

PY - 2017/7/2

Y1 - 2017/7/2

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 1979

EP - 1982

BT - Anais XXXVII Congresso da Sociedade Brasileira de Computação

PB - Sociedade Brasileira de Computação (SBC)

T2 - Workshop de Informática Médica (WIM)

Y2 - 2 July 2017 through 6 July 2017

ER -

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

Abstract

Workshop

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