Improving hospital operations management to reduce ineffective medical appointments
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/1822/78074 |
Resumo: | The main objective of this study is to meet management aspirations by promoting waste reduction and consequently improving patients` experience in a Portuguese public hospital. These aspirations include increasing hospital service quality in a continuous and efficient way. This management mindset uncovered divergences between medical appointment and magnetic resonance imaging (MRI) exam scheduling that were generating waste for both the hospital and patients. The main aspects considered in this study were the patients’ medical expectations, the quality, and cost of service provided. One-year retroactive encrypted data from medical appointments and MRI requisitions were provided for the algorithm development. Outcomes obtained from the algorithm revealed a high percentage of medical appointments occurring without the respective MRI exam results. These outcomes exposed waste existence that was hitherto unknown by the administration. Thus, the main algorithm function is to analyze future data to previously alert ineffective medical appointments. This progress contributes to reducing wasted medical and patient time. In summary, the main contribution of this article is to allow hospital managers to cross-check data from different sectors to identify divergences in future medical consultations that require exams or results of clinical analysis. |
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Improving hospital operations management to reduce ineffective medical appointmentsIndustrial Engineering & ManufacturingOperations ManagementEngineering ManagementProduction Engineeringmagnetic resonance imagingineffective medical appointmentshospital operations managementlean healthcarewaste reductionScience & TechnologyThe main objective of this study is to meet management aspirations by promoting waste reduction and consequently improving patients` experience in a Portuguese public hospital. These aspirations include increasing hospital service quality in a continuous and efficient way. This management mindset uncovered divergences between medical appointment and magnetic resonance imaging (MRI) exam scheduling that were generating waste for both the hospital and patients. The main aspects considered in this study were the patients’ medical expectations, the quality, and cost of service provided. One-year retroactive encrypted data from medical appointments and MRI requisitions were provided for the algorithm development. Outcomes obtained from the algorithm revealed a high percentage of medical appointments occurring without the respective MRI exam results. These outcomes exposed waste existence that was hitherto unknown by the administration. Thus, the main algorithm function is to analyze future data to previously alert ineffective medical appointments. This progress contributes to reducing wasted medical and patient time. In summary, the main contribution of this article is to allow hospital managers to cross-check data from different sectors to identify divergences in future medical consultations that require exams or results of clinical analysis.This work was supported by the Fundacao para a Ciencia e a Tecnologia [POCI-01-0145-FEDER-030299]; Fundacao para a Ciencia e a Tecnologia [UIDB/00319/2020].Taylor & FrancisUniversidade do MinhoBarretiri, LeandroGonçalves, Bruno S.Lima, Rui M.Dinis-Carvalho, José20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/78074engLeandro Barretiri, Bruno S. Gonçalves, Rui M. Lima & José Dinis-Carvalho | Jun Guo (Reviewing editor) (2021) Improving hospital operations management to reduce ineffective medical appointments, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.19048062331-191610.1080/23311916.2021.1904806https://www.tandfonline.com/doi/full/10.1080/23311916.2021.1904806info: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:RCAAP2023-07-21T12:08:46Zoai:repositorium.sdum.uminho.pt:1822/78074Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:00:02.626574Repositório 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 |
Improving hospital operations management to reduce ineffective medical appointments |
title |
Improving hospital operations management to reduce ineffective medical appointments |
spellingShingle |
Improving hospital operations management to reduce ineffective medical appointments Barretiri, Leandro Industrial Engineering & Manufacturing Operations Management Engineering Management Production Engineering magnetic resonance imaging ineffective medical appointments hospital operations management lean healthcare waste reduction Science & Technology |
title_short |
Improving hospital operations management to reduce ineffective medical appointments |
title_full |
Improving hospital operations management to reduce ineffective medical appointments |
title_fullStr |
Improving hospital operations management to reduce ineffective medical appointments |
title_full_unstemmed |
Improving hospital operations management to reduce ineffective medical appointments |
title_sort |
Improving hospital operations management to reduce ineffective medical appointments |
author |
Barretiri, Leandro |
author_facet |
Barretiri, Leandro Gonçalves, Bruno S. Lima, Rui M. Dinis-Carvalho, José |
author_role |
author |
author2 |
Gonçalves, Bruno S. 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 |
Barretiri, Leandro Gonçalves, Bruno S. Lima, Rui M. Dinis-Carvalho, José |
dc.subject.por.fl_str_mv |
Industrial Engineering & Manufacturing Operations Management Engineering Management Production Engineering magnetic resonance imaging ineffective medical appointments hospital operations management lean healthcare waste reduction Science & Technology |
topic |
Industrial Engineering & Manufacturing Operations Management Engineering Management Production Engineering magnetic resonance imaging ineffective medical appointments hospital operations management lean healthcare waste reduction Science & Technology |
description |
The main objective of this study is to meet management aspirations by promoting waste reduction and consequently improving patients` experience in a Portuguese public hospital. These aspirations include increasing hospital service quality in a continuous and efficient way. This management mindset uncovered divergences between medical appointment and magnetic resonance imaging (MRI) exam scheduling that were generating waste for both the hospital and patients. The main aspects considered in this study were the patients’ medical expectations, the quality, and cost of service provided. One-year retroactive encrypted data from medical appointments and MRI requisitions were provided for the algorithm development. Outcomes obtained from the algorithm revealed a high percentage of medical appointments occurring without the respective MRI exam results. These outcomes exposed waste existence that was hitherto unknown by the administration. Thus, the main algorithm function is to analyze future data to previously alert ineffective medical appointments. This progress contributes to reducing wasted medical and patient time. In summary, the main contribution of this article is to allow hospital managers to cross-check data from different sectors to identify divergences in future medical consultations that require exams or results of clinical analysis. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z |
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/1822/78074 |
url |
https://hdl.handle.net/1822/78074 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Leandro Barretiri, Bruno S. Gonçalves, Rui M. Lima & José Dinis-Carvalho | Jun Guo (Reviewing editor) (2021) Improving hospital operations management to reduce ineffective medical appointments, Cogent Engineering, 8:1, DOI: 10.1080/23311916.2021.1904806 2331-1916 10.1080/23311916.2021.1904806 https://www.tandfonline.com/doi/full/10.1080/23311916.2021.1904806 |
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 |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132394382426112 |