Implementation of Lean Six Sigma to Lessen Waiting Times in Public Emergency Care Networks: A Case Study

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Autor(es): dc.contributorUniversidad de la Costa CUC-
Autor(es): dc.contributorInstitución Universitaria ITSA-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCorporación Universitaria Reformada-
Autor(es): dc.creatorOrtiz-Barrios, Miguel-
Autor(es): dc.creatorCoba-Blanco, Dayana-
Autor(es): dc.creatorJiménez-Delgado, Genett-
Autor(es): dc.creatorSalomon, Valerio A. P.-
Autor(es): dc.creatorLópez-Meza, Pedro-
Data de aceite: dc.date.accessioned2025-08-21T22:21:25Z-
Data de disponibilização: dc.date.available2025-08-21T22:21:25Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2020-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-030-90966-6_7-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/222985-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/222985-
Descrição: dc.descriptionEmergency Care Networks (ECNs) are integrated healthcare systems comprised of emergency departments (EDs). ECNs are called to be the primary response of healthcare authorities to deal with the expected uptick in the future demands for emergency care during the current Covid-19 pandemic. Lean Six Sigma (LSS) has been proposed to address this challenge since it allows managers to detect factors contributing to the extended waiting times (WT) throughout the patient journey. The suggested framework follows the DMAIC cycle that was initiated with the project charter definition; in the meantime, a SIPOC diagram was drawn to analyze the emergency care process and pinpoint critical process variables. Following this, a nested Gage R&R study was undertaken to study the measurement system performance; subsequently, a normal-based capability analysis was carried out to determine how well the ECN process satisfies the specifications. The next step was to identify the potential causes separating the ECN nodes from the desired target. Afterwards, improvement strategies were devised to lessen the average WT. After suitable data collection, a before-and-after analysis was performed to verify the effectiveness of the implemented strategies. Ultimately, a control plan containing an I-MR control chart was designed to maintain the improvements achieved with the LSS implementation. The results revealed that the average WT of the showcased node passed from 190.02 min to 103.1 min whereas the long-term sigma level increased from −0.06 to 0.11. The proposed framework was validated through a case study including the involvement of a medium-sized hospital from the public sector.-
Descrição: dc.descriptionDepartment of Productivity and Innovation Universidad de la Costa CUC-
Descrição: dc.descriptionDepartment of Industrial Engineering Institución Universitaria ITSA-
Descrição: dc.descriptionDepartment of Production Universidade Estadual Júlio de Mesquita Filho, Av. Ariberto P. Cunha 333-
Descrição: dc.descriptionDepartment of Maritime and Port Administration Corporación Universitaria Reformada-
Descrição: dc.descriptionDepartment of Production Universidade Estadual Júlio de Mesquita Filho, Av. Ariberto P. Cunha 333-
Formato: dc.format83-93-
Idioma: dc.languageen-
Relação: dc.relationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCovid-19-
Palavras-chave: dc.subjectEmergency Care Networks (ECNs)-
Palavras-chave: dc.subjectHealthcare-
Palavras-chave: dc.subjectLean Six Sigma (LSS)-
Palavras-chave: dc.subjectWaiting times (WT)-
Título: dc.titleImplementation of Lean Six Sigma to Lessen Waiting Times in Public Emergency Care Networks: A Case Study-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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