年轻成年人对中国基于人工智能的药物咨询的观点:离散选择实验
Jia Zhang1, Jing Wang2, JingBo Zhang3
1Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Journal of medical Internet research
|April 9, 2025
概括
年轻人更喜欢人工智能药物咨询服务,其结果100%针对症状而定,语言易于理解. 方便性和视频内容也是他们选择数字健康解决方案的关键因素.
科学领域:
- 数字健康数字健康
- 人工智能 (AI) 是一种人工智能.
- 医疗信息学 医疗信息学
背景情况:
- 年轻人越来越多地使用数字解决方案,需要人工智能驱动的医疗服务.
- 人工智能药物咨询可以改善药物坚持和减少不良事件.
- 了解年轻人的偏好对于开发有效的AI健康工具至关重要.
研究的目的:
- 评估年轻成年人 (18-44岁) 对基于AI的药物咨询服务的偏好.
- 确定影响AI药物咨询平台选择的关键属性.
主要方法:
- 离散选择实验 (DCE) 有6个属性:细节性,语言可理解性,症状特异性结果,访问平台,内容模型和成本.
- 混合逻辑模型用于偏好估计,支付意愿 (WTP) 和相对重要性 (RI) 分析.
- 对340名年轻成年人进行了在线问卷调查,产生了8160个DCE观察.
主要成果:
- 强烈偏好100%的症状特异性结果 (RI=36.99%) 和易于理解的语言.
- 视频内容和微信应用程序访问被偏爱于一般信息和网站.
- 对症状特异性结果的支付意愿最高;更高的收入和教育与对准确性和特定特征的更强烈偏好相关.
结论:
- 人工智能药物咨询服务应该优先考虑特定症状的信息和用户友好的语言.
- 方便的访问平台 (如微信小程序) 和引人入胜的内容模型 (如视频) 是必不可少的.
- 根据收入和教育等用户人口统计数据量身定制服务,可以提高采用率和效率.
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