Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)

Detalhes bibliográficos
Autor(a) principal: Junsong, Bai
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/28694
Resumo: Hospitals are the critical support infrastructures. In the confrontation with natural disasters, infectious diseases, and other crises that severely affect the supply and demand of local medical services—and even jeopardize the hospital itself—, the hospital needs first to secure the essential emergency functions and, secondly, to recover from the impact as quickly as possible. Hospital resilience has numerous influencing elements and evaluation criteria, but there are still ambiguous boundaries in their internal influence relationships and hierarchical structures. Therefore, this study explores the determinants and pathways of practice for strengthening hospital resilience from an internal management perspective, applying Group Decision Making and Interpretive Structural Modeling (ISM) to pool the knowledge and experience of experts in related fields and identify critical variables. Based on the information collected and analyzed, a hierarchical model of hospital resilience was established. The results and practical applicability of the model were then validated by external experts to provide new knowledge for the development of hospital resilience management.
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spelling Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)Hospital managementHospital planning capacityResiliência -- ResilienceInterpretive Structural Modeling (ISM)Gestão hospitalarCapacidade de planeamento hospitalarHospitals are the critical support infrastructures. In the confrontation with natural disasters, infectious diseases, and other crises that severely affect the supply and demand of local medical services—and even jeopardize the hospital itself—, the hospital needs first to secure the essential emergency functions and, secondly, to recover from the impact as quickly as possible. Hospital resilience has numerous influencing elements and evaluation criteria, but there are still ambiguous boundaries in their internal influence relationships and hierarchical structures. Therefore, this study explores the determinants and pathways of practice for strengthening hospital resilience from an internal management perspective, applying Group Decision Making and Interpretive Structural Modeling (ISM) to pool the knowledge and experience of experts in related fields and identify critical variables. Based on the information collected and analyzed, a hierarchical model of hospital resilience was established. The results and practical applicability of the model were then validated by external experts to provide new knowledge for the development of hospital resilience management.Os hospitais são infraestruturas críticas. No confronto com desastres naturais, doenças infeciosas ou outras crises que afetem gravemente a oferta e a procura de serviços médicos locais—e que até põem em risco o próprio hospital—, o hospital precisa, em primeiro lugar, de assegurar as funções essenciais de emergência e, em segundo lugar, de recuperar desses impactos o mais rapidamente possível. A resiliência do hospital tem numerosos elementos de influência e critérios de avaliação, mas existem ainda fronteiras ambíguas nas suas relações de influência interna e nas suas estruturas hierárquicas. Neste contexto, o presente estudo explora determinantes e práticas para reforçar a resiliência hospitalar a partir de uma perspetiva de gestão interna, aplicando métodos de tomada de decisão de grupo e Interpretive Structural Modeling (ISM) para reunir o conhecimento e a experiência de especialistas em áreas relacionadas e identificar variáveis críticas. Com base na informação recolhida, foi estabelecido um modelo hierárquico de resiliência hospitalar. Os resultados e a aplicabilidade prática do modelo foram validados por peritos externos, no sentido de fornecer novos conhecimentos para o desenvolvimento da gestão da resiliência hospitalar.2023-05-24T13:44:30Z2023-05-18T00:00:00Z2023-05-182023-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/28694TID:203305957engJunsong, Baiinfo: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:RCAAP2023-11-09T17:31:46Zoai:repositorio.iscte-iul.pt:10071/28694Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:14:18.131786Repositório 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 Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
title Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
spellingShingle Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
Junsong, Bai
Hospital management
Hospital planning capacity
Resiliência -- Resilience
Interpretive Structural Modeling (ISM)
Gestão hospitalar
Capacidade de planeamento hospitalar
title_short Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
title_full Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
title_fullStr Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
title_full_unstemmed Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
title_sort Enhancing hospital planning capacity and resilience in crisis scenarios using interpretive structural modeling (ISM)
author Junsong, Bai
author_facet Junsong, Bai
author_role author
dc.contributor.author.fl_str_mv Junsong, Bai
dc.subject.por.fl_str_mv Hospital management
Hospital planning capacity
Resiliência -- Resilience
Interpretive Structural Modeling (ISM)
Gestão hospitalar
Capacidade de planeamento hospitalar
topic Hospital management
Hospital planning capacity
Resiliência -- Resilience
Interpretive Structural Modeling (ISM)
Gestão hospitalar
Capacidade de planeamento hospitalar
description Hospitals are the critical support infrastructures. In the confrontation with natural disasters, infectious diseases, and other crises that severely affect the supply and demand of local medical services—and even jeopardize the hospital itself—, the hospital needs first to secure the essential emergency functions and, secondly, to recover from the impact as quickly as possible. Hospital resilience has numerous influencing elements and evaluation criteria, but there are still ambiguous boundaries in their internal influence relationships and hierarchical structures. Therefore, this study explores the determinants and pathways of practice for strengthening hospital resilience from an internal management perspective, applying Group Decision Making and Interpretive Structural Modeling (ISM) to pool the knowledge and experience of experts in related fields and identify critical variables. Based on the information collected and analyzed, a hierarchical model of hospital resilience was established. The results and practical applicability of the model were then validated by external experts to provide new knowledge for the development of hospital resilience management.
publishDate 2023
dc.date.none.fl_str_mv 2023-05-24T13:44:30Z
2023-05-18T00:00:00Z
2023-05-18
2023-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/28694
TID:203305957
url http://hdl.handle.net/10071/28694
identifier_str_mv TID:203305957
dc.language.iso.fl_str_mv eng
language eng
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.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
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