Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service

Detalhes bibliográficos
Autor(a) principal: Silva, Álefe Cruz
Data de Publicação: 2021
Outros Autores: Maciel, Alexandre Magno Andrade
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista de Engenharia e Pesquisa Aplicada
Texto Completo: http://revistas.poli.br/index.php/repa/article/view/1770
Resumo: Home Care Service, called SAD, is a substitute or complementary job to hospitalization or outpatient care, responsible for the management and operation of the Multiprofessional Home Care Teams and Multiprofessional Support Equipment. SAD planning, that is, the distribution of visits from professionals to patients, is still a manual process. However, making the allocation of visits efficient is necessary to improve the work of professionals, the travel time between home visits, consequently, the cost of transportation, and maximizing the amount of daily visits. The proposal is to apply genetic algorithm (AG) as a solution approach to solve this problem and perform a comparative analysis by changing genetic operators.
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spelling Application of Genetic Algorithm in the Management of Medical Visits in a Home Care ServiceAplicação de Algoritmo Genético na Gestão de Visitas Médicas em Serviço de Atenção DomiciliarHome Care Service, called SAD, is a substitute or complementary job to hospitalization or outpatient care, responsible for the management and operation of the Multiprofessional Home Care Teams and Multiprofessional Support Equipment. SAD planning, that is, the distribution of visits from professionals to patients, is still a manual process. However, making the allocation of visits efficient is necessary to improve the work of professionals, the travel time between home visits, consequently, the cost of transportation, and maximizing the amount of daily visits. The proposal is to apply genetic algorithm (AG) as a solution approach to solve this problem and perform a comparative analysis by changing genetic operators.Serviço de Atenção Domiciliar, denominado SAD, é um trabalho substitutivo ou complementar à internação hospitalar ou ao atendimento ambulatorial, responsável pelo gerenciamento e operacionalização das Equipes Multiprofissionais de Atenção Domiciliar e Equipes Multiprofissionais de Apoio. O planejamento do SAD, ou seja, a distribuição de visitas de profissionais para pacientes, ainda é um processo manual. No entanto, tornar eficiente a alocação de visitas é necessário para melhorar o trabalho dos profissionais, reduzindo o tempo de deslocamento entre as visitas domiciliares, consequentemente, reduzindo custos de transporte, e maximizando a quantidade de atendimentos diários. A proposta é aplicar algoritmo genético (AG) como abordagem de solução para resolver este problema e executar uma análise comparativa alterando operadores genéticos.Escola Politécnica de Pernambuco2021-11-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://revistas.poli.br/index.php/repa/article/view/1770Journal of Engineering and Applied Research; Vol 6 No 5 (2021): Edição Especial em Ciência de Dados e Analytics; 81-89Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 5 (2021): Edição Especial em Ciência de Dados e Analytics; 81-892525-425110.25286/repa.v6i5reponame:Revista de Engenharia e Pesquisa Aplicadainstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEporhttp://revistas.poli.br/index.php/repa/article/view/1770/788http://revistas.poli.br/index.php/repa/article/view/1770/789Copyright (c) 2021 Álefe Cruz Silva, Alexandre Magno Andrade Macielhttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Álefe CruzMaciel, Alexandre Magno Andrade2021-11-25T12:22:35Zoai:ojs.poli.br:article/1770Revistahttp://revistas.poli.br/index.php/repaONGhttp://revistas.poli.br/index.php/repa/oai||repa@poli.br2525-42512525-4251opendoar:2021-11-25T12:22:35Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE)false
dc.title.none.fl_str_mv Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
Aplicação de Algoritmo Genético na Gestão de Visitas Médicas em Serviço de Atenção Domiciliar
title Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
spellingShingle Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
Silva, Álefe Cruz
title_short Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
title_full Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
title_fullStr Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
title_full_unstemmed Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
title_sort Application of Genetic Algorithm in the Management of Medical Visits in a Home Care Service
author Silva, Álefe Cruz
author_facet Silva, Álefe Cruz
Maciel, Alexandre Magno Andrade
author_role author
author2 Maciel, Alexandre Magno Andrade
author2_role author
dc.contributor.author.fl_str_mv Silva, Álefe Cruz
Maciel, Alexandre Magno Andrade
description Home Care Service, called SAD, is a substitute or complementary job to hospitalization or outpatient care, responsible for the management and operation of the Multiprofessional Home Care Teams and Multiprofessional Support Equipment. SAD planning, that is, the distribution of visits from professionals to patients, is still a manual process. However, making the allocation of visits efficient is necessary to improve the work of professionals, the travel time between home visits, consequently, the cost of transportation, and maximizing the amount of daily visits. The proposal is to apply genetic algorithm (AG) as a solution approach to solve this problem and perform a comparative analysis by changing genetic operators.
publishDate 2021
dc.date.none.fl_str_mv 2021-11-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://revistas.poli.br/index.php/repa/article/view/1770
url http://revistas.poli.br/index.php/repa/article/view/1770
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://revistas.poli.br/index.php/repa/article/view/1770/788
http://revistas.poli.br/index.php/repa/article/view/1770/789
dc.rights.driver.fl_str_mv Copyright (c) 2021 Álefe Cruz Silva, Alexandre Magno Andrade Maciel
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Álefe Cruz Silva, Alexandre Magno Andrade Maciel
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Escola Politécnica de Pernambuco
publisher.none.fl_str_mv Escola Politécnica de Pernambuco
dc.source.none.fl_str_mv Journal of Engineering and Applied Research; Vol 6 No 5 (2021): Edição Especial em Ciência de Dados e Analytics; 81-89
Revista de Engenharia e Pesquisa Aplicada; v. 6 n. 5 (2021): Edição Especial em Ciência de Dados e Analytics; 81-89
2525-4251
10.25286/repa.v6i5
reponame:Revista de Engenharia e Pesquisa Aplicada
instname:Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
instname_str Universidade Federal de Pernambuco (UFPE)
instacron_str UFPE
institution UFPE
reponame_str Revista de Engenharia e Pesquisa Aplicada
collection Revista de Engenharia e Pesquisa Aplicada
repository.name.fl_str_mv Revista de Engenharia e Pesquisa Aplicada - Universidade Federal de Pernambuco (UFPE)
repository.mail.fl_str_mv ||repa@poli.br
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