Discrete event simulation for problem solving in the context of an emergency department

Detalhes bibliográficos
Autor(a) principal: Ferreira, Letícia Ali Figueiredo
Data de Publicação: 2020
Outros Autores: Santos, Igor Leão dos, Santos, Ana Carla de Souza Gomes dos, Reis, Augusto da Cunha
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.
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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||
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