Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study
Long waiting time to appointment may be a worry for pregnant women, particularly those who need perinatology consultation since it could increase anxiety and, in a worst case scenario, lead to an increase in fetal, infant, and maternal mortality. Treatment costs may also increase since pregnant wome...
- Autores:
-
Ortíz-Barrios, Miguel
McClean, Sally
Jiménez-Delgado, Genett
Martínez-Sierra, David Enrique
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6897
- Acceso en línea:
- https://hdl.handle.net/11323/6897
https://repositorio.cuc.edu.co/
- Palabra clave:
- Six sigma
Discrete-event simulation (DES)
Appointment lead time
Gynecology healthcare
- Rights
- openAccess
- License
- CC0 1.0 Universal
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|
dc.title.spa.fl_str_mv |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
title |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
spellingShingle |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study Six sigma Discrete-event simulation (DES) Appointment lead time Gynecology healthcare |
title_short |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
title_full |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
title_fullStr |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
title_full_unstemmed |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
title_sort |
Integrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case study |
dc.creator.fl_str_mv |
Ortíz-Barrios, Miguel McClean, Sally Jiménez-Delgado, Genett Martínez-Sierra, David Enrique |
dc.contributor.author.spa.fl_str_mv |
Ortíz-Barrios, Miguel McClean, Sally Jiménez-Delgado, Genett Martínez-Sierra, David Enrique |
dc.subject.spa.fl_str_mv |
Six sigma Discrete-event simulation (DES) Appointment lead time Gynecology healthcare |
topic |
Six sigma Discrete-event simulation (DES) Appointment lead time Gynecology healthcare |
description |
Long waiting time to appointment may be a worry for pregnant women, particularly those who need perinatology consultation since it could increase anxiety and, in a worst case scenario, lead to an increase in fetal, infant, and maternal mortality. Treatment costs may also increase since pregnant women with diverse pathologies can develop more severe complications. As a step towards improving this process, we propose a methodological approach to reduce the appointment lead-time in outpatient gynecobstetrics departments. This framework involves combining the Six Sigma method to identify defects in the appointment scheduling process with a discrete-event simulation (DES) to evaluate the potential success of removing such defects in simulation before we resort to changing the real-world healthcare system. To do these, we initially characterize the gynecobstetrics department using a SIPOC diagram. Then, six sigma performance metrics are calculated to evaluate how well the department meets the government target in relation to the appointment lead-time. Afterwards, a cause-and-effect analysis is undertaken to identify potential causes of appointment lead-time variation. These causes are later validated through ANOVA, regression analysis, and DES. Improvement scenarios are next designed and pretested through computer simulation models. Finally, control plans are deployed to maintain the results achieved through the implementation of the DES-Six sigma approach. The aforementioned framework was validated in a public gynecobstetrics outpatient department. The results revealed that mean waiting time decreased from 6.9 days to 4.1 days while variance passed from 2.46 days2 to 1.53 days2. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-08-10T19:19:17Z |
dc.date.available.none.fl_str_mv |
2020-08-10T19:19:17Z |
dc.date.issued.none.fl_str_mv |
2020 |
dc.type.spa.fl_str_mv |
Pre-Publicación |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_816b |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/preprint |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ARTOTR |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_816b |
status_str |
acceptedVersion |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/6897 |
dc.identifier.doi.spa.fl_str_mv |
DOI https://doi.org/10.1007/978-3-030-49907-5_27 |
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/ |
url |
https://hdl.handle.net/11323/6897 https://repositorio.cuc.edu.co/ |
identifier_str_mv |
DOI https://doi.org/10.1007/978-3-030-49907-5_27 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.rights.spa.fl_str_mv |
CC0 1.0 Universal |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ |
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 |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.publisher.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.source.spa.fl_str_mv |
Lecture Notes in Computer Science |
institution |
Corporación Universidad de la Costa |
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Ortíz-Barrios, MiguelMcClean, SallyJiménez-Delgado, GenettMartínez-Sierra, David Enrique2020-08-10T19:19:17Z2020-08-10T19:19:17Z2020https://hdl.handle.net/11323/6897DOI https://doi.org/10.1007/978-3-030-49907-5_27Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Long waiting time to appointment may be a worry for pregnant women, particularly those who need perinatology consultation since it could increase anxiety and, in a worst case scenario, lead to an increase in fetal, infant, and maternal mortality. Treatment costs may also increase since pregnant women with diverse pathologies can develop more severe complications. As a step towards improving this process, we propose a methodological approach to reduce the appointment lead-time in outpatient gynecobstetrics departments. This framework involves combining the Six Sigma method to identify defects in the appointment scheduling process with a discrete-event simulation (DES) to evaluate the potential success of removing such defects in simulation before we resort to changing the real-world healthcare system. To do these, we initially characterize the gynecobstetrics department using a SIPOC diagram. Then, six sigma performance metrics are calculated to evaluate how well the department meets the government target in relation to the appointment lead-time. Afterwards, a cause-and-effect analysis is undertaken to identify potential causes of appointment lead-time variation. These causes are later validated through ANOVA, regression analysis, and DES. Improvement scenarios are next designed and pretested through computer simulation models. Finally, control plans are deployed to maintain the results achieved through the implementation of the DES-Six sigma approach. The aforementioned framework was validated in a public gynecobstetrics outpatient department. The results revealed that mean waiting time decreased from 6.9 days to 4.1 days while variance passed from 2.46 days2 to 1.53 days2.Ortíz-Barrios, MiguelMcClean, SallyJiménez-Delgado, GenettMartínez-Sierra, David EnriqueengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Lecture Notes in Computer ScienceSix sigmaDiscrete-event simulation (DES)Appointment lead timeGynecology healthcareIntegrating Lean Six Sigma and discrete-event simulation for shortening the appointment lead-time in gynecobstetrics departments: a case studyPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdfIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdfapplication/pdf54074https://repositorio.cuc.edu.co/bitstreams/886d5b3d-5478-4c93-83d8-5653d0e35705/download36af37df5d03c783c60a2f61ccd1a2deMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/365df230-d78c-452a-a346-8b21b5724967/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/344420a9-ab9c-41c9-ba72-f38f1cfc0faa/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdf.jpgIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdf.jpgimage/jpeg60539https://repositorio.cuc.edu.co/bitstreams/fca869be-8c31-4f58-b70f-0d40c2dae94d/downloadee927ebe8d54c4c55d8bffc72686b02bMD54TEXTIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdf.txtIntegrating Lean Six Sigma and Discrete-Event Simulation for Shortening the Appointment Lead-Time in Gynecobstetrics Departments.pdf.txttext/plain2085https://repositorio.cuc.edu.co/bitstreams/13fdcbe3-eaed-43e1-815e-769a3737cb5b/download13676edd3ae508db3ce1e7141440ccccMD5511323/6897oai:repositorio.cuc.edu.co:11323/68972024-09-17 14:07:40.329http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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