人工智能为大学生提供健康指导:一种混合方法的评估过程
Iva Bojic1, Qi Chwen Ong1, Sakura Ito1
1Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Rd, 308232, Singapore.
Computers in biology and medicine
|June 12, 2025
概括
人工智能支持的健康指导 (HC) 是有前途的,但也面临着挑战. 提高人工智能的准确性和可用性是有效整合到健康指导工作流程的关键.
科学领域:
- 数字健康数字健康
- 人与计算机的交互
- 健康教练技术 技术
背景情况:
- 人工智能 (AI) 赋权的健康指导 (HC) 提供实时,基于证据的支持.
- 整合挑战包括检索准确性,可用性和在现场HC会议中的参与.
- 一项试点随机对照试验评估了人工智能赋权HC干预措施的可行性.
研究的目的:
- 为了检查健康教练对人工智能赋权的HC的接受度.
- 在试验期间评估AI驱动的问题/答案 (Q/A) 系统的参与度和接受度.
- 收集改进人工智能HC系统的建议.
主要方法:
- 采用混合方法的过程评估方法.
- 专注小组讨论和试验后的定量评估进行.
- 研究了健康教练对人工智能集成的观点.
主要成果:
- 健康教练有积极的态度,重视人工智能的事实,基于证据的反应.
- 参与受到不相关或不完整的AI答案的限制,扰乱了HC流.
- 建议包括增强检索准确性,更多答案选项,会话历史记录,摘要和更好的UI.
结论:
- 人工智能增强的HC是有希望的,但Q / A精度限制阻碍了可用性.
- 完善人工智能检索,个性化和适应性对于未来的发展至关重要.
- 需要以用户为中心的AI模型来有效支持健康教练.
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