Process improvement approaches for increasing the response of emergency departments against the Covid-19 pandemic: a systematic review

dc.creatorOrtiz Barrios, Miguel Angel
dc.creatorCoba Blanco, Dayana Milena
dc.creatorAlfaro-Saiz, Juan-Jose
dc.creatorStand-González, Daniela
dc.date2021-11-05T13:58:20Z
dc.date2021-11-05T13:58:20Z
dc.date2021
dc.date.accessioned2023-10-03T19:54:42Z
dc.date.available2023-10-03T19:54:42Z
dc.identifier1660-4601
dc.identifier1661-7827
dc.identifierhttps://hdl.handle.net/11323/8835
dc.identifierhttps://doi.org/10.3390/ijerph18168814
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173235
dc.descriptionThe 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.
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
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dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourceInternational Journal of Environmental Research and Public Health
dc.sourcehttps://www.mdpi.com/1660-4601/18/16/8814
dc.subjectHealthcare
dc.subjectEmergency department
dc.subjectCOVID-19
dc.subjectProcess improvement
dc.subjectSystematic review
dc.titleProcess improvement approaches for increasing the response of emergency departments against the Covid-19 pandemic: a systematic review
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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