Analisys of hospital bed capacity via queuing theory and simulation

Eighty percent of Brazilian population is assisted by the public health system (SUS), while the rest uses private health insurance. The existing number of beds do not meet the entire demand and Brazilian government has made efforts to improve the system. The Health Ministry has analyzed a new propos...

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Published inProceedings of the Winter Simulation Conference 2014 pp. 1281 - 1292
Main Authors Pinto, Luiz Ricardo, Cardoso de Campos, Francisco Carlos, Oliva Perpetuo, Ignez Helena, Neves Marques Barbosa Ribeiro, Yara Cristina
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2014
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Abstract Eighty percent of Brazilian population is assisted by the public health system (SUS), while the rest uses private health insurance. The existing number of beds do not meet the entire demand and Brazilian government has made efforts to improve the system. The Health Ministry has analyzed a new proposal for planning the bed capacity. This proposal uses a queuing model and a new categorization of hospitalization and beds, taking into account specialties, age of the patients, and appropriate occupancy rates. In this paper, we use the proposed technique to estimate the required beds for Belo Horizonte, a mid-sized city in Brazil. We compare number of beds required by centralized and non-centralized administration. A simulation model was developed to analyze the dynamic behavior of the system and searching for the best configuration. This model was used to evaluate the results obtained by queuing model and to check its usability.
AbstractList Eighty percent of Brazilian population is assisted by the public health system (SUS), while the rest uses private health insurance. The existing number of beds do not meet the entire demand and Brazilian government has made efforts to improve the system. The Health Ministry has analyzed a new proposal for planning the bed capacity. This proposal uses a queuing model and a new categorization of hospitalization and beds, taking into account specialties, age of the patients, and appropriate occupancy rates. In this paper, we use the proposed technique to estimate the required beds for Belo Horizonte, a mid-sized city in Brazil. We compare number of beds required by centralized and non-centralized administration. A simulation model was developed to analyze the dynamic behavior of the system and searching for the best configuration. This model was used to evaluate the results obtained by queuing model and to check its usability.
Author Pinto, Luiz Ricardo
Cardoso de Campos, Francisco Carlos
Oliva Perpetuo, Ignez Helena
Neves Marques Barbosa Ribeiro, Yara Cristina
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  organization: Engineering School, Federal University of Minas Gerais, Av. Antônio Carlos, 6627 - Pampulha, Belo Horizonte, 31.270-901, BRAZIL
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  givenname: Francisco Carlos
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  givenname: Ignez Helena
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  givenname: Yara Cristina
  surname: Neves Marques Barbosa Ribeiro
  fullname: Neves Marques Barbosa Ribeiro, Yara Cristina
  email: yaracnmbr@gmail.com
  organization: Hosp. Municipal Odilon Behrens, Rua Formiga, Belo Horizonte, Brazil
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Snippet Eighty percent of Brazilian population is assisted by the public health system (SUS), while the rest uses private health insurance. The existing number of beds...
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SubjectTerms Analytical models
Cities and towns
Equations
Hospitals
Mathematical model
Proposals
Queueing analysis
Title Analisys of hospital bed capacity via queuing theory and simulation
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