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dc.contributor.authorOrtiz Barrios, Miguel Angelspa
dc.contributor.authorCoba Blanco, Dayana Milenaspa
dc.contributor.authorAlfaro-Saiz, Juan-Josespa
dc.contributor.authorStand-González, Danielaspa
dc.date.accessioned2021-11-05T13:58:20Z
dc.date.available2021-11-05T13:58:20Z
dc.date.issued2021
dc.identifier.issn1660-4601spa
dc.identifier.issn1661-7827spa
dc.identifier.urihttps://hdl.handle.net/11323/8835spa
dc.description.abstractThe COVID-19 pandemic has strongly affected the dynamics of Emergency Departments (EDs) worldwide and has accentuated the need for tackling different operational inefficiencies that decrease the quality of care provided to infected patients. The EDs continue to struggle against this outbreak by implementing strategies maximizing their performance within an uncertain healthcare environment. The efforts, however, have remained insufficient in view of the growing number of admissions and increased severity of the coronavirus disease. Therefore, the primary aim of this paper is to review the literature on process improvement interventions focused on increasing the ED response to the current COVID-19 outbreak to delineate future research lines based on the gaps detected in the practical scenario. Therefore, we applied the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to perform a review containing the research papers published between December 2019 and April 2021 using ISI Web of Science, Scopus, PubMed, IEEE, Google Scholar, and Science Direct databases. The articles were further classified taking into account the research domain, primary aim, journal, and publication year. A total of 65 papers disseminated in 51 journals were concluded to satisfy the inclusion criteria. Our review found that most applications have been directed towards predicting the health outcomes in COVID-19 patients through machine learning and data analytics techniques. In the overarching pandemic, healthcare decision makers are strongly recommended to integrate artificial intelligence techniques with approaches from the operations research (OR) and quality management domains to upgrade the ED performance under social-economic restrictions.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.sourceInternational Journal of Environmental Research and Public Healthspa
dc.subjectHealthcarespa
dc.subjectEmergency departmentspa
dc.subjectCOVID-19spa
dc.subjectProcess improvementspa
dc.subjectSystematic reviewspa
dc.titleProcess improvement approaches for increasing the response of emergency departments against the Covid-19 pandemic: a systematic reviewspa
dc.typeArtículo de revistaspa
dc.source.urlhttps://www.mdpi.com/1660-4601/18/16/8814spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.3390/ijerph18168814spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
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