Prediction of intensive care units length of stay: A concise review

Detalhes bibliográficos
Autor(a) principal: Peres, Igor Tona
Data de Publicação: 2021
Outros Autores: Hamacher, Silvio, Oliveira, Fernando Luiz Cyrino, Bozza, Fernando Augusto, Salluh, Jorge Ibrain Figueira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/49093
Resumo: Pontifícia Universidade Católica do Rio de Janeiro. Departamento de Engenharia Industrial. Rio de Janeiro, RJ, Brasil.
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spelling Peres, Igor TonaHamacher, SilvioOliveira, Fernando Luiz CyrinoBozza, Fernando AugustoSalluh, Jorge Ibrain Figueira2021-09-16T14:10:33Z2021-09-16T14:10:33Z2021PERES, Igor Tona et al. Prediction of intensive care units length of stay: a concise review. Revista Brasileira de terapia intensiva, v. 33, n. 2, p. 183-187, 2021.0103-507Xhttps://www.arca.fiocruz.br/handle/icict/4909310.5935/0103-507X.20210025engScieloPrediction of intensive care units length of stay: A concise reviewinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePontifícia Universidade Católica do Rio de Janeiro. Departamento de Engenharia Industrial. Rio de Janeiro, RJ, Brasil.Pontifícia Universidade Católica do Rio de Janeiro. Departamento de Engenharia Industrial. Rio de Janeiro, RJ, Brasil.Pontifícia Universidade Católica do Rio de Janeiro. Departamento de Engenharia Industrial. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Rio de Janeiro, RJ, Brasil.Instituto D'Or de Pesquisa e Ensino. Rio de Janeiro, RJ, Brasil.The length of stay (LOS) in the intensive care unit (ICU) is one of the most commonly used metrics for quality of care. Despite its potential limitations, ICU LOS is easy to measure, reproducible and can be used as a proxy for resource use, costs, and efficiency.(1) Moreover, it is a patientcentered outcome; therefore, it is of interest to multiple stakeholders, such as patients and families, managers, payors, and ICU personnel. However, in most circumstances, the ICU LOS is used retrospectively to assess ICU efficiency or to understand patients with a long LOS and, thus, elevated costs of care. Therefore, patient LOS prediction at ICU admission could help coordinate care, implement preventive measures, and better communicate with managers, payors, and families, setting realistic expectations.Length of stay (LOS)Intensive care unit (ICU)info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83099https://www.arca.fiocruz.br/bitstream/icict/49093/1/license.txt586c046dcfeef936e32f0323bb9a47c0MD51ORIGINALPrediction_Fernando_Bozza_etal_INI_2021.pdfPrediction_Fernando_Bozza_etal_INI_2021.pdfapplication/pdf366419https://www.arca.fiocruz.br/bitstream/icict/49093/2/Prediction_Fernando_Bozza_etal_INI_2021.pdf3af1e9fd4d9f976f464ef013b7e9e146MD52icict/490932021-09-16 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dc.title.pt_BR.fl_str_mv Prediction of intensive care units length of stay: A concise review
title Prediction of intensive care units length of stay: A concise review
spellingShingle Prediction of intensive care units length of stay: A concise review
Peres, Igor Tona
Length of stay (LOS)
Intensive care unit (ICU)
title_short Prediction of intensive care units length of stay: A concise review
title_full Prediction of intensive care units length of stay: A concise review
title_fullStr Prediction of intensive care units length of stay: A concise review
title_full_unstemmed Prediction of intensive care units length of stay: A concise review
title_sort Prediction of intensive care units length of stay: A concise review
author Peres, Igor Tona
author_facet Peres, Igor Tona
Hamacher, Silvio
Oliveira, Fernando Luiz Cyrino
Bozza, Fernando Augusto
Salluh, Jorge Ibrain Figueira
author_role author
author2 Hamacher, Silvio
Oliveira, Fernando Luiz Cyrino
Bozza, Fernando Augusto
Salluh, Jorge Ibrain Figueira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Peres, Igor Tona
Hamacher, Silvio
Oliveira, Fernando Luiz Cyrino
Bozza, Fernando Augusto
Salluh, Jorge Ibrain Figueira
dc.subject.en.pt_BR.fl_str_mv Length of stay (LOS)
Intensive care unit (ICU)
topic Length of stay (LOS)
Intensive care unit (ICU)
description Pontifícia Universidade Católica do Rio de Janeiro. Departamento de Engenharia Industrial. Rio de Janeiro, RJ, Brasil.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-09-16T14:10:33Z
dc.date.available.fl_str_mv 2021-09-16T14:10:33Z
dc.date.issued.fl_str_mv 2021
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.citation.fl_str_mv PERES, Igor Tona et al. Prediction of intensive care units length of stay: a concise review. Revista Brasileira de terapia intensiva, v. 33, n. 2, p. 183-187, 2021.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/49093
dc.identifier.issn.pt_BR.fl_str_mv 0103-507X
dc.identifier.doi.none.fl_str_mv 10.5935/0103-507X.20210025
identifier_str_mv PERES, Igor Tona et al. Prediction of intensive care units length of stay: a concise review. Revista Brasileira de terapia intensiva, v. 33, n. 2, p. 183-187, 2021.
0103-507X
10.5935/0103-507X.20210025
url https://www.arca.fiocruz.br/handle/icict/49093
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.publisher.none.fl_str_mv Scielo
publisher.none.fl_str_mv Scielo
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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institution FIOCRUZ
reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/49093/1/license.txt
https://www.arca.fiocruz.br/bitstream/icict/49093/2/Prediction_Fernando_Bozza_etal_INI_2021.pdf
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