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Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067106/ https://www.ncbi.nlm.nih.gov/pubmed/33918246 http://dx.doi.org/10.3390/life11040310 |
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author | Chang, Shih-Chia Lu, Ming-Tsang Pan, Tzu-Hui Chen, Chiao-Shan |
author_facet | Chang, Shih-Chia Lu, Ming-Tsang Pan, Tzu-Hui Chen, Chiao-Shan |
author_sort | Chang, Shih-Chia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8067106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80671062021-04-25 Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry Chang, Shih-Chia Lu, Ming-Tsang Pan, Tzu-Hui Chen, Chiao-Shan Life (Basel) Article 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. MDPI 2021-04-02 /pmc/articles/PMC8067106/ /pubmed/33918246 http://dx.doi.org/10.3390/life11040310 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chang, Shih-Chia Lu, Ming-Tsang Pan, Tzu-Hui Chen, Chiao-Shan Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title | Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title_full | Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title_fullStr | Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title_full_unstemmed | Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title_short | Evaluating the E-Health Cloud Computing Systems Adoption in Taiwan’s Healthcare Industry |
title_sort | evaluating the e-health cloud computing systems adoption in taiwan’s healthcare industry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8067106/ https://www.ncbi.nlm.nih.gov/pubmed/33918246 http://dx.doi.org/10.3390/life11040310 |
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