Using a Modified VIKOR Technique for Evaluating and Improving the National Healthcare System Quality

Sun-Weng Huang, James J. H. Liou, Hai-Hua Chuang and Gwo-Hshiung Tzeng
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Sun-Weng Huang: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
James J. H. Liou: Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei 10608, Taiwan
Hai-Hua Chuang: Department of Family Medicine, Chang-Gung Memorial Hospital, Taipei & Linkou Branch, Taoyuan 33305, Taiwan
Gwo-Hshiung Tzeng: Graduate Institute of Urban Planning, College of Public Affairs, National Taipei University, New Taipei City 23741, Taiwan

Mathematics, 2021, vol. 9, issue 12, 1-21

Abstract: The effectiveness of the national/regional healthcare system is one of the keys to prevent the spread of COVID-19. In the face of this unknown pandemic, where the healthcare system should continue to be promoted and improved are crucial decision issues. In the past, most studies have used the subjective opinions of experts for analysis and decision-making processes when investigating complicated decision-making problems. However, such decision-making processes are easily influenced by experts’ preferences. Therefore, this research proposes a soft computing technology that integrates CRiteria Importance Through Intercriteria Correlation (CRITIC) with the modified VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, meaning multicriteria optimization and compromise solution (modified VIKOR) technique to reduce the impact of expert preference. In order to cope with the fact that COVID-19 has spread globally and to discover problems quickly and effectively, this study uses the global health security (GHS) index as the evaluation framework and conducts overall discussions in 195 countries/regions around the world. It is verified that the technology of soft computing can be used for continuous promotion and improvement of the national/regional healthcare system. This technology facilitates decision makers to know the gap of performance between the current healthcare system and the aspiration level. Finally, based on these gaps, we provide management advice to help improve these systems.

Keywords: COVID-19 epidemic; healthcare system quality; modified VIKOR technique; hybrid multiple attribute decision-making (MADM) method; anti-epidemic (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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