为移动健康应用开发基于证据的评估框架
Sabrina Yu1, Paul Aiello1,2, Aby Mathews Maluvelil1,2
1Lamina Solutions, Toronto, Canada.
Studies in health technology and informatics
|February 19, 2025
概括
本研究提出了一个新的定量框架,用于评估移动健康 (mHealth) 应用程序,使用动态属性权重和人工智能来确保质量和利益相关者一致. 该平台为各种移动健康应用提供了可操作的见解.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 移动健康 (mHealth) 应用程序的普及需要严格的评估方法.
- 现有的平台往往缺乏动态属性权重和多标准决策分析,以进行全面的质量评估.
- 确保利益相关者在移动健康应用程序开发和部署中保持一致是一个重大挑战.
研究的目的:
- 引入一个量化,基于证据的框架来评估移动健康应用.
- 解决需要强大的平台,确保质量,有效性和利益相关者一致的需求.
- 为各种移动健康应用程序和利益相关者要求提供可操作的见解.
主要方法:
- 开发一个包含动态属性权重的定量框架.
- 应用多标准决策分析 (MCDA) 技术,包括CRITIC-TOPSIS.
- 整合人工智能 (AI) 驱动的属性优先级.
- 通过系统审查和专家分析进行验证.
主要成果:
- 初步评估表明,该框架有潜力产生量身定制的,可操作的见解.
- 拟议的平台在解决移动健康应用程序评估方面的差距方面表现出有效性.
- 动态属性权重和MCDA增强了对移动健康应用程序质量和有效性的评估.
结论:
- 开发的框架为评估移动健康应用程序的质量和有效性提供了一个强大的解决方案.
- 人工智能驱动的优先级和MCDA为利益相关者调整提供了一个动态的方法.
- 预计进一步的开发和现实世界的部署将完善该框架在数字健康中的适用性和影响.
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