Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan's Healthcare Industry

• Published in: Life (Basel, Switzerland) Vol. 11; no. 4; p. 310
• Main Authors: Chang, Shih-Chia, Lu, Ming-Tsang, Pan, Tzu-Hui, Chen, Chiao-Shan
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 02.04.2021; MDPI
• Subjects: Access control; Cloud computing; cloud computing system; Collaboration; Cost effectiveness; Decision analysis; Decision making; e-health (electronic health); Health care; Health care industry; healthcare industry; Information systems; Investigations; Literature reviews; Mathematical analysis; Medical records; multiple criteria decision-making (MCDM); Multiple criterion; Performance evaluation; Personal health; Privacy; R&D; Research & development; Security; Software; Systems stability; Technology adoption; Taiwan; healthcare industry; cloud computing system; multiple criteria decision-making (MCDM); e-health (electronic health)
• ISSN: 2075-1729; 2075-1729
• DOI: 10.3390/life11040310

Although the electronic health (e-health) cloud computing system is a promising innovation, its adoption in the healthcare industry has been slow. This study investigated the adoption of e-health cloud computing systems in the healthcare industry and considered security functions, management, cloud service delivery, and cloud software for e-health cloud computing systems. Although numerous studies have determined factors affecting e-health cloud computing systems, few comprehensive reviews of factors and their relations have been conducted. Therefore, this study investigated the relations between the factors affecting e-health cloud computing systems by using a multiple criteria decision-making technique, in which decision-making trial and evaluation laboratory (DEMATEL), DANP (DEMATEL-based Analytic Network Process), and modified VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) approaches were combined. The intended level of adoption of an e-health cloud computing system could be determined by using the proposed approach. The results of a case study performed on the Taiwanese healthcare industry indicated that the cloud management function must be primarily enhanced and that cost effectiveness is the most significant factor in the adoption of e-health cloud computing. This result is valuable for allocating resources to decrease performance gaps in the Taiwanese healthcare industry.