Improving hospital operations management to reduce ineffective medical appointments

Detalhes bibliográficos
Autor(a) principal: Barretiri, Leandro
Data de Publicação: 2021
Outros Autores: Gonçalves, Bruno S., Lima, Rui M., Dinis-Carvalho, José
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.
id RCAP_90f9ae9c9b913a55864cbcdb80eda4e7
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/78074
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
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_ 1799132394382426112