Medical centers location and specialists’ allocation: a healthcare planning case study

Detalhes bibliográficos
Autor(a) principal: Almeida,João Flávio de Freitas
Data de Publicação: 2019
Outros Autores: Pinto,Luiz Ricardo, Conceição,Samuel Vieira, Campos,Francisco Carlos Cardoso de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100805
Resumo: Abstract Paper aims To set the locations of new medical centers to meet the population’s secondary care needs, the additional number of specialists, equipment, and an installation sequence at municipalities. Originality We developed descriptive cost functions models and adopted aggregate data from official sources to set parameters of an integrated MILP model. Research method A case study at the Brazilian state of Minas Gerais. Main findings For every scenario, the recommended locations set centers dispersed over the state area, in cities with the minimum required infrastructure. We also propose a scenario of secondary care network re-design and demonstrate the reduced cost of such a strategy. Implications for theory and practice To automate the decision process, we developed a web-based system, providing flexibility and scientific-based results. Finally, we propose a sequence for installing 43 new medical centers and improving the capacity of 27 existing infrastructure based on equality principles.
id ABEPRO-1_c3ea236bacc722e95194b86cdccad0d2
oai_identifier_str oai:scielo:S0103-65132019000100805
network_acronym_str ABEPRO-1
network_name_str Production
repository_id_str
spelling Medical centers location and specialists’ allocation: a healthcare planning case studyPublic healthcare planningFacility locationMixed integer linear programmingAbstract Paper aims To set the locations of new medical centers to meet the population’s secondary care needs, the additional number of specialists, equipment, and an installation sequence at municipalities. Originality We developed descriptive cost functions models and adopted aggregate data from official sources to set parameters of an integrated MILP model. Research method A case study at the Brazilian state of Minas Gerais. Main findings For every scenario, the recommended locations set centers dispersed over the state area, in cities with the minimum required infrastructure. We also propose a scenario of secondary care network re-design and demonstrate the reduced cost of such a strategy. Implications for theory and practice To automate the decision process, we developed a web-based system, providing flexibility and scientific-based results. Finally, we propose a sequence for installing 43 new medical centers and improving the capacity of 27 existing infrastructure based on equality principles.Associação Brasileira de Engenharia de Produção2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100805Production v.29 2019reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20190006info:eu-repo/semantics/openAccessAlmeida,João Flávio de FreitasPinto,Luiz RicardoConceição,Samuel VieiraCampos,Francisco Carlos Cardoso deeng2019-11-27T00:00:00Zoai:scielo:S0103-65132019000100805Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2019-11-27T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Medical centers location and specialists’ allocation: a healthcare planning case study
title Medical centers location and specialists’ allocation: a healthcare planning case study
spellingShingle Medical centers location and specialists’ allocation: a healthcare planning case study
Almeida,João Flávio de Freitas
Public healthcare planning
Facility location
Mixed integer linear programming
title_short Medical centers location and specialists’ allocation: a healthcare planning case study
title_full Medical centers location and specialists’ allocation: a healthcare planning case study
title_fullStr Medical centers location and specialists’ allocation: a healthcare planning case study
title_full_unstemmed Medical centers location and specialists’ allocation: a healthcare planning case study
title_sort Medical centers location and specialists’ allocation: a healthcare planning case study
author Almeida,João Flávio de Freitas
author_facet Almeida,João Flávio de Freitas
Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Campos,Francisco Carlos Cardoso de
author_role author
author2 Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Campos,Francisco Carlos Cardoso de
author2_role author
author
author
dc.contributor.author.fl_str_mv Almeida,João Flávio de Freitas
Pinto,Luiz Ricardo
Conceição,Samuel Vieira
Campos,Francisco Carlos Cardoso de
dc.subject.por.fl_str_mv Public healthcare planning
Facility location
Mixed integer linear programming
topic Public healthcare planning
Facility location
Mixed integer linear programming
description Abstract Paper aims To set the locations of new medical centers to meet the population’s secondary care needs, the additional number of specialists, equipment, and an installation sequence at municipalities. Originality We developed descriptive cost functions models and adopted aggregate data from official sources to set parameters of an integrated MILP model. Research method A case study at the Brazilian state of Minas Gerais. Main findings For every scenario, the recommended locations set centers dispersed over the state area, in cities with the minimum required infrastructure. We also propose a scenario of secondary care network re-design and demonstrate the reduced cost of such a strategy. Implications for theory and practice To automate the decision process, we developed a web-based system, providing flexibility and scientific-based results. Finally, we propose a sequence for installing 43 new medical centers and improving the capacity of 27 existing infrastructure based on equality principles.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100805
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100805
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20190006
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.29 2019
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
_version_ 1754213154516107264