Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models

Detalhes bibliográficos
Autor(a) principal: RAMOS,P. L.
Data de Publicação: 2019
Outros Autores: NASCIMENTO,D. C., FERNANDES,R., GUIMARÃES,E., SANTANA,M., SOARES,K., LOUZADA,F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512019000300571
Resumo: ABSTRACT. The present work intends to study the effectiveness of applying the Manchester Triage System to improve patient flow in a Brazilian hospital, which allows a more welcoming and decisive service. Thus, time to event techniques is applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence the time of attendance. In the end, we provide a simple model that can be used to predict such time under different explanatory variables for a particular Brazilian hospital.
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spelling Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric ModelsManchester Triage Systemparametric modelsrisk classificationsurvival analysisABSTRACT. The present work intends to study the effectiveness of applying the Manchester Triage System to improve patient flow in a Brazilian hospital, which allows a more welcoming and decisive service. Thus, time to event techniques is applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence the time of attendance. In the end, we provide a simple model that can be used to predict such time under different explanatory variables for a particular Brazilian hospital.Sociedade Brasileira de Matemática Aplicada e Computacional2019-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512019000300571TEMA (São Carlos) v.20 n.3 2019reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2019.020.03.571info:eu-repo/semantics/openAccessRAMOS,P. L.NASCIMENTO,D. C.FERNANDES,R.GUIMARÃES,E.SANTANA,M.SOARES,K.LOUZADA,F.eng2019-12-12T00:00:00Zoai:scielo:S2179-84512019000300571Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2019-12-12T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse
dc.title.none.fl_str_mv Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
title Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
spellingShingle Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
RAMOS,P. L.
Manchester Triage System
parametric models
risk classification
survival analysis
title_short Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
title_full Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
title_fullStr Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
title_full_unstemmed Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
title_sort Medical Care in Emergency Units with Risk Classification: Time to Attendance at a Hospital based on Parametric Models
author RAMOS,P. L.
author_facet RAMOS,P. L.
NASCIMENTO,D. C.
FERNANDES,R.
GUIMARÃES,E.
SANTANA,M.
SOARES,K.
LOUZADA,F.
author_role author
author2 NASCIMENTO,D. C.
FERNANDES,R.
GUIMARÃES,E.
SANTANA,M.
SOARES,K.
LOUZADA,F.
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv RAMOS,P. L.
NASCIMENTO,D. C.
FERNANDES,R.
GUIMARÃES,E.
SANTANA,M.
SOARES,K.
LOUZADA,F.
dc.subject.por.fl_str_mv Manchester Triage System
parametric models
risk classification
survival analysis
topic Manchester Triage System
parametric models
risk classification
survival analysis
description ABSTRACT. The present work intends to study the effectiveness of applying the Manchester Triage System to improve patient flow in a Brazilian hospital, which allows a more welcoming and decisive service. Thus, time to event techniques is applied based on parametric regression models with the objective of investigating indicators for the emergency/urgency sector and thus, contributing to better operational efficiency. The results show that different explanatory variables such as classification, age, period, among others, influence the time of attendance. In the end, we provide a simple model that can be used to predict such time under different explanatory variables for a particular Brazilian hospital.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512019000300571
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512019000300571
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5540/tema.2019.020.03.571
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
publisher.none.fl_str_mv Sociedade Brasileira de Matemática Aplicada e Computacional
dc.source.none.fl_str_mv TEMA (São Carlos) v.20 n.3 2019
reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
instname:Sociedade Brasileira de Matemática Aplicada e Computacional
instacron:SBMAC
instname_str Sociedade Brasileira de Matemática Aplicada e Computacional
instacron_str SBMAC
institution SBMAC
reponame_str TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
collection TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)
repository.name.fl_str_mv TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional
repository.mail.fl_str_mv castelo@icmc.usp.br
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