A Hybrid Multi-criteria Framework for Evaluating the Performance of Clinical Labs During the Covid-19 Pandemic

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidad de la Costa CUC-
Autor(es): dc.contributorInstitución Universitaria de Barranquilla IUB-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSabin Medicina Diagnostica-
Autor(es): dc.contributorNottingham Trent University-
Autor(es): dc.contributorSoltraf Ingeniería S.A.S.-
Autor(es): dc.contributorUniversidad Simon Bolivar-
Autor(es): dc.creatorOrtiz-Barrios, Miguel-
Autor(es): dc.creatorEspeleta-Aris, Andrea-
Autor(es): dc.creatorJiménez-Delgado, Genett-
Autor(es): dc.creatorCelani-De Souza, Helder Jose-
Autor(es): dc.creatorSantana-de Oliveira, Jonas-
Autor(es): dc.creatorKonios, Alexandros-
Autor(es): dc.creatorCampis-Freyle, Leonardo-
Autor(es): dc.creatorNavarro-Jimenez, Eduardo-
Data de aceite: dc.date.accessioned2025-08-21T23:13:05Z-
Data de disponibilização: dc.date.available2025-08-21T23:13:05Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/978-3-031-35748-0_8-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308593-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308593-
Descrição: dc.descriptionClinical laboratories were affected by the recent Covid-19 pandemic, evidencing the low preparedness of some clinical labs when responding to seasonal diseases, epidemics/pandemics, and other disastrous events. However, various operational shortcomings become glaring in the labs also propelled by the virus’s ever-changing dynamics and rapid evolution. Therefore, this paper presents a novel hybrid intuitionistic Multi-criteria Decision-Making (MCDM) approach to evaluate the performance of clinical labs during the Covid-19 pandemic. First, we used Intuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP) to estimate the relative weights of criteria and sub-criteria considering hesitancy and uncertainty properties. Second, we employed Intuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL) to evaluate the interrelationships among performance criteria as often found in the healthcare context. Ultimately, the Combined Compromise Solution (CoCoSo) technique was applied to estimate the Performance Index (PI) of each clinical laboratory and pinpoint the main weaknesses hindering the effective response in presence of the Covid-19 and other disastrous events. This approach was validated in 9 clinical labs located in a Colombian region. The results evidenced that Operating capacity (global weight = 0.1985) and Occupational health and safety (global weight = 0.1924) are the most important aspects for increasing the overall response of the labs against new Covid-19 waves and future outbreaks. Besides, operating capacity (D + R = 37.486) and Equipment (D + R = 38.024) were concluded to be the main performance drivers. Also some clinical labs uncovered major shortcomings that may restrict their functioning in a future contingency.-
Descrição: dc.descriptionDepartment of Productivity and Innovation Universidad de la Costa CUC-
Descrição: dc.descriptionDepartment of Industrial Engineering Institución Universitaria de Barranquilla IUB-
Descrição: dc.descriptionUNESP - Sao Paulo State University-
Descrição: dc.descriptionSabin Medicina Diagnostica-
Descrição: dc.descriptionDepartment of Computer Science Nottingham Trent University-
Descrição: dc.descriptionDepartment of Research and Innovation Soltraf Ingeniería S.A.S.-
Descrição: dc.descriptionDepartment of Health Sciences Universidad Simon Bolivar-
Descrição: dc.descriptionUNESP - Sao Paulo State University-
Formato: dc.format104-122-
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.subjectClinical Laboratories-
Palavras-chave: dc.subjectCombined Compromise Solution (CoCoSo)-
Palavras-chave: dc.subjectCovid-19-
Palavras-chave: dc.subjectDisaster management-
Palavras-chave: dc.subjectHealthcare-
Palavras-chave: dc.subjectIntuitionistic Fuzzy Analytic Hierarchy Process (IF-AHP)-
Palavras-chave: dc.subjectIntuitionistic Fuzzy Decision Making Trial and Evaluation Laboratory (IF-DEMATEL)-
Palavras-chave: dc.subjectMulti-criteria Decision-Making (MCDM)-
Palavras-chave: dc.subjectPerformance evaluation-
Título: dc.titleA Hybrid Multi-criteria Framework for Evaluating the Performance of Clinical Labs During the Covid-19 Pandemic-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.