A hybrid multi-criteria framework for evaluating the performance of clinical labs during the Covid-19 pandemic

Ortiz-Barrios, M, Espeleta-Aris, A, Jiménez-Delgado, G, Celani-De Souza, HJ, Santana-de Oliveira, J, Konios, A ORCID: https://orcid.org/0000-0001-5281-1911, Campis- Freyle, L and Navarro-Jimenez, E, 2023. A hybrid multi-criteria framework for evaluating the performance of clinical labs during the Covid-19 pandemic. In: UNSPECIFIED Springer. (Forthcoming)

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Abstract

Clinical 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 inter-relationships 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 short-comings that may restrict their functioning in a future contingency.

Item Type:	Chapter in book
Description:	Paper to be presented at 25th International Conference on Human-Computer Interaction (HCI International 2023), Copenhagen, Denmark, 23-28 July 2023.
Creators:	Ortiz-Barrios, M., Espeleta-Aris, A., Jiménez-Delgado, G., Celani-De Souza, H.J., Santana-de Oliveira, J., Konios, A., Campis- Freyle, L. and Navarro-Jimenez, E.
Publisher:	Springer
Date:	24 February 2023
Identifiers:	Number Type 1736387 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	03 Mar 2023 09:45
Last Modified:	03 Mar 2023 09:45
URI:	https://irep.ntu.ac.uk/id/eprint/48448

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