Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic
Waiting time is a crucial performance metric in A&E departments. In this regard, longer waiting times are related to low patient satisfaction, high mortality rates and more severe physical health complications. To analyze patient flow in these departments, discrete-event simulation (DES) has bee...
- Autores:
-
Nuñez Perez, Nixon De Jesus
Ortiz Barrios, Miguel Angel
McClean, S. I.
Salas Navarro, Katherinne Paola
Jimenez, Genett
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_f744
- Fecha de publicación:
- 2017
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/2006
- Acceso en línea:
- https://hdl.handle.net/11323/2006
https://repositorio.cuc.edu.co/
- Palabra clave:
- Accident and emergency (A&E)
Discrete event simulation (DES)
Emergency departments (EDs)
Healthcare
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
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dc.title.spa.fl_str_mv |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
title |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
spellingShingle |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic Accident and emergency (A&E) Discrete event simulation (DES) Emergency departments (EDs) Healthcare |
title_short |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
title_full |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
title_fullStr |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
title_full_unstemmed |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
title_sort |
Discrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinic |
dc.creator.fl_str_mv |
Nuñez Perez, Nixon De Jesus Ortiz Barrios, Miguel Angel McClean, S. I. Salas Navarro, Katherinne Paola Jimenez, Genett |
dc.contributor.author.spa.fl_str_mv |
Nuñez Perez, Nixon De Jesus Ortiz Barrios, Miguel Angel McClean, S. I. Salas Navarro, Katherinne Paola Jimenez, Genett |
dc.subject.spa.fl_str_mv |
Accident and emergency (A&E) Discrete event simulation (DES) Emergency departments (EDs) Healthcare |
topic |
Accident and emergency (A&E) Discrete event simulation (DES) Emergency departments (EDs) Healthcare |
description |
Waiting time is a crucial performance metric in A&E departments. In this regard, longer waiting times are related to low patient satisfaction, high mortality rates and more severe physical health complications. To analyze patient flow in these departments, discrete-event simulation (DES) has been used; however, its application has not been extended to evaluate the impact of improvement strategies. Therefore, this paper aims to design and pretest operational strategies for better ED care delivery using DES. First, input data analysis is carried out. Afterward, the DES model is developed and validated to establish whether it is statistically comparable with the real-world. Then, performance indicators of the current system are computed and analyzed. Finally, improvement strategies are proposed and evaluated by simulation modelling and statistical tests. A case study of an A&E department from a district general clinic is presented to validate the proposed framework. In particular, we will validate the effectiveness of introducing a triage system (Scenario 3), a strategy that is not currently adopted by the clinic. Results demonstrate that waiting times could be meaningfully diminished based on the proposed approaches within this paper. |
publishDate |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2019-01-18T16:10:25Z |
dc.date.available.none.fl_str_mv |
2019-01-18T16:10:25Z |
dc.type.spa.fl_str_mv |
Documento de Conferencia |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_f744 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/EC |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_f744 |
status_str |
acceptedVersion |
dc.identifier.isbn.spa.fl_str_mv |
978-331967584-8 |
dc.identifier.issn.spa.fl_str_mv |
03029743 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/2006 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
978-331967584-8 03029743 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/2006 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.spa.fl_str_mv |
10.1007/978-3-319-67585-5_37 |
dc.rights.spa.fl_str_mv |
Atribución – No comercial – Compartir igual |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución – No comercial – Compartir igual http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.publisher.spa.fl_str_mv |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
institution |
Corporación Universidad de la Costa |
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Nuñez Perez, Nixon De JesusOrtiz Barrios, Miguel AngelMcClean, S. I.Salas Navarro, Katherinne PaolaJimenez, Genett2019-01-18T16:10:25Z2019-01-18T16:10:25Z2017978-331967584-803029743https://hdl.handle.net/11323/2006Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Waiting time is a crucial performance metric in A&E departments. In this regard, longer waiting times are related to low patient satisfaction, high mortality rates and more severe physical health complications. To analyze patient flow in these departments, discrete-event simulation (DES) has been used; however, its application has not been extended to evaluate the impact of improvement strategies. Therefore, this paper aims to design and pretest operational strategies for better ED care delivery using DES. First, input data analysis is carried out. Afterward, the DES model is developed and validated to establish whether it is statistically comparable with the real-world. Then, performance indicators of the current system are computed and analyzed. Finally, improvement strategies are proposed and evaluated by simulation modelling and statistical tests. A case study of an A&E department from a district general clinic is presented to validate the proposed framework. In particular, we will validate the effectiveness of introducing a triage system (Scenario 3), a strategy that is not currently adopted by the clinic. Results demonstrate that waiting times could be meaningfully diminished based on the proposed approaches within this paper.Nuñez Perez, Nixon De Jesus-831eced6-e8dc-4b33-9ab3-2ae6321fe39d-0Ortiz Barrios, Miguel Angel-0000-0001-6890-7547-600McClean, S. I.-c35cbf1a-0143-4730-ba63-76448fd5624e-0Salas Navarro, Katherinne Paola-0000-0002-6290-3542-600Jimenez, Genett-c617c38d-cd1c-4e6d-86d7-f49de63ce897-0engLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10.1007/978-3-319-67585-5_37Atribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Accident and emergency (A&E)Discrete event simulation (DES)Emergency departments (EDs)HealthcareDiscrete-event simulation to reduce waiting time in accident and emergency departments: a case study in a district general clinicDocumento de Conferenciahttp://purl.org/coar/resource_type/c_f744http://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/redcol/resource_type/ECinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALDiscrete-event simulation to reduce waiting time in accident.pdfDiscrete-event simulation to reduce waiting time in accident.pdfapplication/pdf7360https://repositorio.cuc.edu.co/bitstreams/6754cef2-bf98-4998-bfae-b2e5aa1b221a/download175450e249722f555b708a6cb825a3faMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/628ff4ab-20bc-4443-93aa-a7dbe8a5c14b/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILDiscrete-event simulation to reduce waiting time in accident.pdf.jpgDiscrete-event simulation to reduce waiting time in accident.pdf.jpgimage/jpeg47682https://repositorio.cuc.edu.co/bitstreams/07cb2011-668f-4f48-ae78-79389f839be7/downloaded1c890e0e4180eb90da25f4257fe9f7MD54TEXTDiscrete-event simulation to reduce waiting time in accident.pdf.txtDiscrete-event simulation to reduce waiting time in accident.pdf.txttext/plain1661https://repositorio.cuc.edu.co/bitstreams/8519649b-ff79-49ed-be12-2868d977a08c/download78f2779470aa3ed6f59acbdcb3c26d9eMD5511323/2006oai:repositorio.cuc.edu.co:11323/20062024-09-17 14:06:56.694open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |