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Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach
A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainabil...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524080/ https://www.ncbi.nlm.nih.gov/pubmed/37771716 http://dx.doi.org/10.1177/20552076231203903 |
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author | Wu, Hsin-Chieh Chen, Tin-Chih Toly Chiu, Min-Chi |
author_facet | Wu, Hsin-Chieh Chen, Tin-Chih Toly Chiu, Min-Chi |
author_sort | Wu, Hsin-Chieh |
collection | PubMed |
description | A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainability of smart healthcare applications is a critical task for their users and suppliers. However, it is also a challenging task due to the availability of data, users’ subjective beliefs, and different perspectives. In response to this problem, this study proposes a multi-perspective fuzzy comprehensive evaluation approach to evaluate the sustainability of a smart healthcare application from qualitative, multi-criteria decision-making and time-series perspectives. The proposed methodology has been used to evaluate the sustainability of eight smart healthcare applications. The experimental results showed that the sustainability of a smart healthcare application evaluated from different perspectives may be different. Nevertheless, another technique can be used to confirm the evaluation result generated using one technique. In other words, these views compensate for each other. |
format | Online Article Text |
id | pubmed-10524080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-105240802023-09-28 Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach Wu, Hsin-Chieh Chen, Tin-Chih Toly Chiu, Min-Chi Digit Health Case Study A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainability of smart healthcare applications is a critical task for their users and suppliers. However, it is also a challenging task due to the availability of data, users’ subjective beliefs, and different perspectives. In response to this problem, this study proposes a multi-perspective fuzzy comprehensive evaluation approach to evaluate the sustainability of a smart healthcare application from qualitative, multi-criteria decision-making and time-series perspectives. The proposed methodology has been used to evaluate the sustainability of eight smart healthcare applications. The experimental results showed that the sustainability of a smart healthcare application evaluated from different perspectives may be different. Nevertheless, another technique can be used to confirm the evaluation result generated using one technique. In other words, these views compensate for each other. SAGE Publications 2023-09-27 /pmc/articles/PMC10524080/ /pubmed/37771716 http://dx.doi.org/10.1177/20552076231203903 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Case Study Wu, Hsin-Chieh Chen, Tin-Chih Toly Chiu, Min-Chi Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title | Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title_full | Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title_fullStr | Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title_full_unstemmed | Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title_short | Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
title_sort | assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524080/ https://www.ncbi.nlm.nih.gov/pubmed/37771716 http://dx.doi.org/10.1177/20552076231203903 |
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