A systematized approach for reduction of medical appointment waiting list
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/82906 |
Resumo: | Paper aims: This work aims to develop a systematized approach for the reduction of medical appointment waiting lists, proposing an optimization decision-making model followed by continuous people engagement towards a systematic approach for waiting list problem-solving. Originality: There are several studies related to waiting lists in healthcare contexts, however, the present study presents an innovative approach for waiting list problem-solving by proposing prescriptive decision-making models followed by continuous improvement and people engagement. Research method: A research approach with the following phases was developed: system analysis, problem quantification, and development of an optimization model. After these phases, the model was applied, and the results were analysed, as contributions to a systematized model. Main findings: The model was applied to the screening waiting list for orthopaedics appointments followed by the fundamental involvement of medical doctors, which made it possible to implement the optimal solution generated by the model, resulting in a reduction of 90% by 56 days in waiting time for the screening process. Implications for theory and practice: This model contributes for theory and for practice as a way to deal with different scenarios for waiting list reduction in the upcoming days during and after the pandemic. |
id |
RCAP_65e9418faceb40f89200d9cd86f4d9fa |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/82906 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A systematized approach for reduction of medical appointment waiting listCapacity planningElective patientsHospital operations managementLean healthcareWaiting listPaper aims: This work aims to develop a systematized approach for the reduction of medical appointment waiting lists, proposing an optimization decision-making model followed by continuous people engagement towards a systematic approach for waiting list problem-solving. Originality: There are several studies related to waiting lists in healthcare contexts, however, the present study presents an innovative approach for waiting list problem-solving by proposing prescriptive decision-making models followed by continuous improvement and people engagement. Research method: A research approach with the following phases was developed: system analysis, problem quantification, and development of an optimization model. After these phases, the model was applied, and the results were analysed, as contributions to a systematized model. Main findings: The model was applied to the screening waiting list for orthopaedics appointments followed by the fundamental involvement of medical doctors, which made it possible to implement the optimal solution generated by the model, resulting in a reduction of 90% by 56 days in waiting time for the screening process. Implications for theory and practice: This model contributes for theory and for practice as a way to deal with different scenarios for waiting list reduction in the upcoming days during and after the pandemic.This work was supported by projects UIDB/00319/2020 and POCI-01-0145-FEDER-030299, from Fundação para a Ciência e Tecnologia (FCT), Portugal.Associação Brasileira de Engenharia de Produção (ABEPRO)Universidade do MinhoGonçalves, Bruno Samuel FerreiraVieira, Rosa Elisa LimaLima, Rui M.Dinis-Carvalho, José2022-012022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/82906eng0103-65131980-541110.1590/0103-6513.20210137http://dx.doi.org/10.1590/0103-6513.20210137info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:34:49Zoai:repositorium.sdum.uminho.pt:1822/82906Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:30:34.051705Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A systematized approach for reduction of medical appointment waiting list |
title |
A systematized approach for reduction of medical appointment waiting list |
spellingShingle |
A systematized approach for reduction of medical appointment waiting list Gonçalves, Bruno Samuel Ferreira Capacity planning Elective patients Hospital operations management Lean healthcare Waiting list |
title_short |
A systematized approach for reduction of medical appointment waiting list |
title_full |
A systematized approach for reduction of medical appointment waiting list |
title_fullStr |
A systematized approach for reduction of medical appointment waiting list |
title_full_unstemmed |
A systematized approach for reduction of medical appointment waiting list |
title_sort |
A systematized approach for reduction of medical appointment waiting list |
author |
Gonçalves, Bruno Samuel Ferreira |
author_facet |
Gonçalves, Bruno Samuel Ferreira Vieira, Rosa Elisa Lima Lima, Rui M. Dinis-Carvalho, José |
author_role |
author |
author2 |
Vieira, Rosa Elisa Lima Lima, Rui M. Dinis-Carvalho, José |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Gonçalves, Bruno Samuel Ferreira Vieira, Rosa Elisa Lima Lima, Rui M. Dinis-Carvalho, José |
dc.subject.por.fl_str_mv |
Capacity planning Elective patients Hospital operations management Lean healthcare Waiting list |
topic |
Capacity planning Elective patients Hospital operations management Lean healthcare Waiting list |
description |
Paper aims: This work aims to develop a systematized approach for the reduction of medical appointment waiting lists, proposing an optimization decision-making model followed by continuous people engagement towards a systematic approach for waiting list problem-solving. Originality: There are several studies related to waiting lists in healthcare contexts, however, the present study presents an innovative approach for waiting list problem-solving by proposing prescriptive decision-making models followed by continuous improvement and people engagement. Research method: A research approach with the following phases was developed: system analysis, problem quantification, and development of an optimization model. After these phases, the model was applied, and the results were analysed, as contributions to a systematized model. Main findings: The model was applied to the screening waiting list for orthopaedics appointments followed by the fundamental involvement of medical doctors, which made it possible to implement the optimal solution generated by the model, resulting in a reduction of 90% by 56 days in waiting time for the screening process. Implications for theory and practice: This model contributes for theory and for practice as a way to deal with different scenarios for waiting list reduction in the upcoming days during and after the pandemic. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/82906 |
url |
https://hdl.handle.net/1822/82906 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0103-6513 1980-5411 10.1590/0103-6513.20210137 http://dx.doi.org/10.1590/0103-6513.20210137 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132810819141632 |