评估智能医疗保健应用程序的可持续性,使用多视角模糊的全面评估方法
Hsin-Chieh Wu1, Tin-Chih Toly Chen2, Min-Chi Chiu3
1Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung City, Taiwan.
Digital health
|September 29, 2023
概括
评估智能医疗应用的可持续性至关重要,但具有挑战性. 本研究引入了多视角模糊评估方法,揭示了可持续性可以根据观点不同,但可以通过补充方法来证实.
科学领域:
- 医疗信息学 医疗信息学
- 决策科学 决策科学 决策科学
- 可持续性研究 可持续性研究
背景情况:
- 智能医疗保健应用程序至关重要,但其长期可持续性很难评估.
- COVID-19大流行加速了这些工具的开发,引发了关于它们在流行病后的可行性的疑问.
- 评估可持续性是复杂的,因为数据的限制,主观的用户信仰,和不同的观点.
研究的目的:
- 提出一种新的多视角模糊综合评估方法来评估智能医疗应用的可持续性.
- 解决数据可用性,主观信念和可持续性评估中不同观点的挑战.
- 为用户和供应商提供强大的方法,以批判性地评估智能医疗应用的长期可行性.
主要方法:
- 开发了一个多视角模糊的综合评估框架.
- 综合的定性,多标准决策和时间序列视角.
- 应用该方法来评估八个智能医疗保健应用程序的可持续性.
主要成果:
- 智能医疗应用的可持续性评估可以根据所采用的视角而有很大差异.
- 拟议的多视角方法为应用可持续性提供了细微的理解.
- 可以使用补充性评估技术来验证和确认可持续性评估结果.
结论:
- 多视角模糊综合评估方法为智能医疗应用的可持续性提供了更准确的评估.
- 不同的可持续性观点不是矛盾的,而是互补的,提高了评估可靠性.
- 这种方法有助于利益相关者做出明智的决定,制定和开发可持续的智能医疗保健解决方案.
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