Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study

Appointment lead-time is a pivotal parameter in elderly outpatient clinics. In this regard, delayed medical care may represent complications in the elderly population and the development of more severe diseases. However, healthcare managers are not skilled in methods effectively reducing waiting tim...

Full description

Autores:
Ortiz Barrios, Miguel Angel
López Meza, Pedro
Jimenez Delgado, Genett Isabel
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:11323/2211
Acceso en línea:
https://hdl.handle.net/11323/2211
https://repositorio.cuc.edu.co/
Palabra clave:
Appointment lead-time
Discret event simulation (DES)
Elderly
Healthcare
Outpatient clinics
Rights
openAccess
License
Atribución – No comercial – Compartir igual
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dc.title.spa.fl_str_mv Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
title Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
spellingShingle Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
Appointment lead-time
Discret event simulation (DES)
Elderly
Healthcare
Outpatient clinics
title_short Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
title_full Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
title_fullStr Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
title_full_unstemmed Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
title_sort Applying computer simulation modelling to minimizing appointment lead-time in elderly outpatient clinics: a case study
dc.creator.fl_str_mv Ortiz Barrios, Miguel Angel
López Meza, Pedro
Jimenez Delgado, Genett Isabel
dc.contributor.author.spa.fl_str_mv Ortiz Barrios, Miguel Angel
López Meza, Pedro
Jimenez Delgado, Genett Isabel
dc.subject.spa.fl_str_mv Appointment lead-time
Discret event simulation (DES)
Elderly
Healthcare
Outpatient clinics
topic Appointment lead-time
Discret event simulation (DES)
Elderly
Healthcare
Outpatient clinics
description Appointment lead-time is a pivotal parameter in elderly outpatient clinics. In this regard, delayed medical care may represent complications in the elderly population and the development of more severe diseases. However, healthcare managers are not skilled in methods effectively reducing waiting times. Therefore, this paper presents the computer simulation modelling to tackle this problem. In this regard, the real-world system was initially simulated and then, three improvement scenarios were designed and validated operationally and financially. The results evidenced that Scenario 2 was the best choice since it provided a low investment per reduced day and a significant reduction (47.1%) regarding the probability of waiting for more than 8 days per appointment. With this proposal, the quality of medical care in elderly population can be meaningfully increased and decisionmaking process can be effectively supported
publishDate 2017
dc.date.issued.none.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2019-01-24T21:39:07Z
dc.date.available.none.fl_str_mv 2019-01-24T21:39:07Z
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
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dc.identifier.issn.spa.fl_str_mv 03029743
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/2211
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 03029743
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/2211
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_34
dc.rights.spa.fl_str_mv Atribución – No comercial – Compartir igual
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rights_invalid_str_mv Atribución – No comercial – Compartir igual
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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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spelling Ortiz Barrios, Miguel AngelLópez Meza, PedroJimenez Delgado, Genett Isabel2019-01-24T21:39:07Z2019-01-24T21:39:07Z201703029743https://hdl.handle.net/11323/2211Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Appointment lead-time is a pivotal parameter in elderly outpatient clinics. In this regard, delayed medical care may represent complications in the elderly population and the development of more severe diseases. However, healthcare managers are not skilled in methods effectively reducing waiting times. Therefore, this paper presents the computer simulation modelling to tackle this problem. In this regard, the real-world system was initially simulated and then, three improvement scenarios were designed and validated operationally and financially. The results evidenced that Scenario 2 was the best choice since it provided a low investment per reduced day and a significant reduction (47.1%) regarding the probability of waiting for more than 8 days per appointment. 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