Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital

Detalhes bibliográficos
Autor(a) principal: Assad,Daniel Bouzon Nagem
Data de Publicação: 2019
Outros Autores: Spiegel,Thais
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100802
Resumo: Abstract Paper aims To find efficient operation room scheduling for residents considering several resources constraints and ensuring a minimum number of surgeries for approval in the training program. Originality We find no research in current literature addressing operation room resource allocation for residents training in order to meet legislation approval criteria. Research method The number of procedures to be performed by each resident was defined by Brazilian legislation and by the rules obtained from interviews with the chief professor of a vascular hospital. To solve the allocation of doctors to surgeries planning problem, also addressed in literature as Master Surgical Schedule (MSS), we propose a mathematical programming approach. Main findings The mathematical model showed that some of the current rules of resource availability bring about infeasible planning when trying to achieve the legislation quantitative rules for the residents training. Implications for theory and practice The model allowed the decision maker to plan and schedule vascular surgeries in a better and faster way, through an automated system, instead of allocating residents to surgeries manually, which takes many hours per month. Furthermore, changing the input data in the proposed model can allow other hospitals or specialists to get efficient results in less time.
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spelling Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospitalSchedulingmaster surgical schedulingMathematical programmingVascular surgeryHospitalAbstract Paper aims To find efficient operation room scheduling for residents considering several resources constraints and ensuring a minimum number of surgeries for approval in the training program. Originality We find no research in current literature addressing operation room resource allocation for residents training in order to meet legislation approval criteria. Research method The number of procedures to be performed by each resident was defined by Brazilian legislation and by the rules obtained from interviews with the chief professor of a vascular hospital. To solve the allocation of doctors to surgeries planning problem, also addressed in literature as Master Surgical Schedule (MSS), we propose a mathematical programming approach. Main findings The mathematical model showed that some of the current rules of resource availability bring about infeasible planning when trying to achieve the legislation quantitative rules for the residents training. Implications for theory and practice The model allowed the decision maker to plan and schedule vascular surgeries in a better and faster way, through an automated system, instead of allocating residents to surgeries manually, which takes many hours per month. Furthermore, changing the input data in the proposed model can allow other hospitals or specialists to get efficient results in less time.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=S0103-65132019000100802Production v.29 2019reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20190025info:eu-repo/semantics/openAccessAssad,Daniel Bouzon NagemSpiegel,Thaiseng2019-08-12T00:00:00Zoai:scielo:S0103-65132019000100802Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2019-08-12T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
title Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
spellingShingle Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
Assad,Daniel Bouzon Nagem
Scheduling
master surgical scheduling
Mathematical programming
Vascular surgery
Hospital
title_short Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
title_full Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
title_fullStr Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
title_full_unstemmed Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
title_sort Maximizing the efficiency of residents operating room scheduling: a case study at a teaching hospital
author Assad,Daniel Bouzon Nagem
author_facet Assad,Daniel Bouzon Nagem
Spiegel,Thais
author_role author
author2 Spiegel,Thais
author2_role author
dc.contributor.author.fl_str_mv Assad,Daniel Bouzon Nagem
Spiegel,Thais
dc.subject.por.fl_str_mv Scheduling
master surgical scheduling
Mathematical programming
Vascular surgery
Hospital
topic Scheduling
master surgical scheduling
Mathematical programming
Vascular surgery
Hospital
description Abstract Paper aims To find efficient operation room scheduling for residents considering several resources constraints and ensuring a minimum number of surgeries for approval in the training program. Originality We find no research in current literature addressing operation room resource allocation for residents training in order to meet legislation approval criteria. Research method The number of procedures to be performed by each resident was defined by Brazilian legislation and by the rules obtained from interviews with the chief professor of a vascular hospital. To solve the allocation of doctors to surgeries planning problem, also addressed in literature as Master Surgical Schedule (MSS), we propose a mathematical programming approach. Main findings The mathematical model showed that some of the current rules of resource availability bring about infeasible planning when trying to achieve the legislation quantitative rules for the residents training. Implications for theory and practice The model allowed the decision maker to plan and schedule vascular surgeries in a better and faster way, through an automated system, instead of allocating residents to surgeries manually, which takes many hours per month. Furthermore, changing the input data in the proposed model can allow other hospitals or specialists to get efficient results in less time.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
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dc.language.iso.fl_str_mv eng
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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
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