面临的现有障碍和未来的设计建议直接向消费者提供医疗保健人工智能应用程序:范围审查
Xin He1, Xi Zheng1, Huiyuan Ding1
1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Journal of medical Internet research
|December 18, 2023
概括
直接向消费者 (DTC) 医疗保健人工智能 (AI) 应用程序提供好处,但存在风险. 本次审查确定了这些新兴的健康AI工具的障碍和设计建议.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 数字健康数字健康
背景情况:
- 直接向消费者 (DTC) 医疗保健人工智能 (AI) 应用程序为改善医疗保健准入提供了机会.
- 然而,这些人工智能工具引入了个人和社会风险,这些风险来自潜在的AI错误和改变的医生-患者动态.
- 目前缺乏对DTC医疗保健AI应用研究环境的系统理解.
研究的目的:
- 系统地审查和分析DTC医疗保健AI应用研究的特点.
- 确定现有的障碍,并为DTC医疗保健AI应用提供设计建议.
- 为未来在这个领域的研究,设计和开发提供参考.
主要方法:
- 根据PRISMA-ScR指南和Arksey和O'Malley的框架进行了范围审查.
- 到2023年3月27日发表的关于DTC医疗保健AI应用程序的同行评审文献,在主要的学术数据库中进行了系统的搜索.
- 包括的研究使用布劳恩和克拉克的反射主题分析来分析.
主要成果:
- 在2898篇获取的论文中,包括32篇,重点关注最近和新兴领域 (2018-2023年).
- 大多数研究来自发达国家,重点是一般实践应用,疾病诊断和健康自我管理.
- 确定了8个障碍和6个设计建议,包括提高可解释性,校准信任,表现同情心,改善产品专业化和测试多样性.
结论:
- 随着DTC医疗保健AI应用程序的快速增长,需要了解它们的当前环境,风险和机遇.
- 本研究提供了对DTC医疗保健AI应用程序的研究特征,障碍和设计建议的全面总结.
- 这些发现是未来发展的关键参考,以提高这些人工智能系统提供的医疗保健服务质量.
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