Discrete event simulation for problem solving in the context of an emergency department
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Independent Journal of Management & Production |
Texto Completo: | http://www.ijmp.jor.br/index.php/ijmp/article/view/1286 |
Resumo: | Emergency departments (ED) are responsible for the immediate care and stabilization of patients in critical health conditions. Several factors have caused overcrowding in the emergency care system, but the variability of patient arrival and the triage process requires special attention. The criticality of these components and their configuration directly impact the waiting times, length of stay and quality of service, being the subject of several studies. So, this paper aims to understand by means of Discrete Event Simulation how ED works with the variation of patient arrival and how this variation highlights the bottlenecks of the triage process. Varying the patient arriving interval between 0.1 and 7.6 in a 4-hour scenario, the system saturation point was established in β = 1.1. Besides, with the variation in the number of triages points, a considerable decrease in the total length of stay spent and the waiting times were noticed, mainly when there was two triage points operating simultaneously. |
id |
IJMP_e565268cdbf7e1f1002d61b8112c71cc |
---|---|
oai_identifier_str |
oai:www.ijmp.jor.br:article/1286 |
network_acronym_str |
IJMP |
network_name_str |
Independent Journal of Management & Production |
repository_id_str |
|
spelling |
Discrete event simulation for problem solving in the context of an emergency departmentEmergency DepartmentDiscrete Event SimulationBrazilEmergency departments (ED) are responsible for the immediate care and stabilization of patients in critical health conditions. Several factors have caused overcrowding in the emergency care system, but the variability of patient arrival and the triage process requires special attention. The criticality of these components and their configuration directly impact the waiting times, length of stay and quality of service, being the subject of several studies. So, this paper aims to understand by means of Discrete Event Simulation how ED works with the variation of patient arrival and how this variation highlights the bottlenecks of the triage process. Varying the patient arriving interval between 0.1 and 7.6 in a 4-hour scenario, the system saturation point was established in β = 1.1. Besides, with the variation in the number of triages points, a considerable decrease in the total length of stay spent and the waiting times were noticed, mainly when there was two triage points operating simultaneously.Independent2020-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/128610.14807/ijmp.v11i5.1286Independent Journal of Management & Production; Vol. 11 No. 5 (2020): Independent Journal of Management & Production (Special Edition IFLOG); 1515-15312236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/1286/1418http://www.ijmp.jor.br/index.php/ijmp/article/view/1286/1419Copyright (c) 2020 Letícia Ali Figueiredo Ferreira, Igor Leão dos Santos, Ana Carla de Souza Gomes dos Santos, Augusto da Cunha Reisinfo:eu-repo/semantics/openAccessFerreira, Letícia Ali FigueiredoSantos, Igor Leão dosSantos, Ana Carla de Souza Gomes dosReis, Augusto da Cunha2020-09-01T11:10:14Zoai:www.ijmp.jor.br:article/1286Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-09-01T11:10:14Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false |
dc.title.none.fl_str_mv |
Discrete event simulation for problem solving in the context of an emergency department |
title |
Discrete event simulation for problem solving in the context of an emergency department |
spellingShingle |
Discrete event simulation for problem solving in the context of an emergency department Ferreira, Letícia Ali Figueiredo Emergency Department Discrete Event Simulation Brazil |
title_short |
Discrete event simulation for problem solving in the context of an emergency department |
title_full |
Discrete event simulation for problem solving in the context of an emergency department |
title_fullStr |
Discrete event simulation for problem solving in the context of an emergency department |
title_full_unstemmed |
Discrete event simulation for problem solving in the context of an emergency department |
title_sort |
Discrete event simulation for problem solving in the context of an emergency department |
author |
Ferreira, Letícia Ali Figueiredo |
author_facet |
Ferreira, Letícia Ali Figueiredo Santos, Igor Leão dos Santos, Ana Carla de Souza Gomes dos Reis, Augusto da Cunha |
author_role |
author |
author2 |
Santos, Igor Leão dos Santos, Ana Carla de Souza Gomes dos Reis, Augusto da Cunha |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Ferreira, Letícia Ali Figueiredo Santos, Igor Leão dos Santos, Ana Carla de Souza Gomes dos Reis, Augusto da Cunha |
dc.subject.por.fl_str_mv |
Emergency Department Discrete Event Simulation Brazil |
topic |
Emergency Department Discrete Event Simulation Brazil |
description |
Emergency departments (ED) are responsible for the immediate care and stabilization of patients in critical health conditions. Several factors have caused overcrowding in the emergency care system, but the variability of patient arrival and the triage process requires special attention. The criticality of these components and their configuration directly impact the waiting times, length of stay and quality of service, being the subject of several studies. So, this paper aims to understand by means of Discrete Event Simulation how ED works with the variation of patient arrival and how this variation highlights the bottlenecks of the triage process. Varying the patient arriving interval between 0.1 and 7.6 in a 4-hour scenario, the system saturation point was established in β = 1.1. Besides, with the variation in the number of triages points, a considerable decrease in the total length of stay spent and the waiting times were noticed, mainly when there was two triage points operating simultaneously. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.ijmp.jor.br/index.php/ijmp/article/view/1286 10.14807/ijmp.v11i5.1286 |
url |
http://www.ijmp.jor.br/index.php/ijmp/article/view/1286 |
identifier_str_mv |
10.14807/ijmp.v11i5.1286 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.ijmp.jor.br/index.php/ijmp/article/view/1286/1418 http://www.ijmp.jor.br/index.php/ijmp/article/view/1286/1419 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Independent |
publisher.none.fl_str_mv |
Independent |
dc.source.none.fl_str_mv |
Independent Journal of Management & Production; Vol. 11 No. 5 (2020): Independent Journal of Management & Production (Special Edition IFLOG); 1515-1531 2236-269X 2236-269X reponame:Independent Journal of Management & Production instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) instacron:IJM&P |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
instacron_str |
IJM&P |
institution |
IJM&P |
reponame_str |
Independent Journal of Management & Production |
collection |
Independent Journal of Management & Production |
repository.name.fl_str_mv |
Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
repository.mail.fl_str_mv |
ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br|| |
_version_ |
1797220493012500480 |