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dc.contributor.authorOrtiz Barrios, Miguel Angelspa
dc.contributor.authorCoba Blanco, Dayana Milenaspa
dc.contributor.authorSalomon, Valeriospa
dc.contributor.authorJiménez, Genettspa
dc.date.accessioned2022-01-19T20:32:34Z
dc.date.available2022-01-19T20:32:34Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11323/8982spa
dc.description.abstractEmergency 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. © 2021, Springer Nature Switzerland AG.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceLecture Notes in Computer Sciencespa
dc.subjectCovid-19spa
dc.subjectEmergency Care Networks (ECNs)spa
dc.subjectHealthcarespa
dc.subjectLean Six Sigma (LSS)spa
dc.subjectWaiting times (WT)spa
dc.titleImplementation of lean six sigma to tessen waiting times in public emergency care networks: a case studyspa
dc.typePre-Publicaciónspa
dc.source.urlhttps://www.researchgate.net/publication/356393780_Implementation_of_Lean_Six_Sigma_to_Lessen_Waiting_Times_in_Public_Emergency_Care_Networks_A_Case_Studyspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doiDOI:10.1007/978-3-030-90966-6_7spa
dc.date.embargoEnd2022
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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