使用大型语言模型进行日记:用于人工智能驱动的个人健康管理的新型用户体验范式
Birger Moëll1, Fredrik Sand Aronsson2,3
1Division of Speech, Music and Hearing, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden.
Frontiers in artificial intelligence
|July 9, 2025
概括
本研究介绍了人工智能辅助的健康日记,这是一个开源应用程序,增强了患者参与度和健康素养. 该工具将患者的叙述转化为结构化的洞察力,在护理过程中赋予用户权力.
科学领域:
- 医疗保健中的人工智能
- 数字健康数字健康
- 人与计算机的交互
背景情况:
- 大型语言模型 (LLM) 为个人健康管理提供了潜力,但面临用户体验,伦理和临床整合挑战.
- 患者参与对于有效的健康管理至关重要,需要直观,支持性的工具.
研究的目的:
- 推出一种新的AI辅助健康日记应用程序原型.
- 通过自然语言界面增强患者参与度和健康素养.
- 探索患者生成数据与临床见解的整合.
主要方法:
- 开发了一个开源AI驱动的日记应用程序,将个人健康记录与LLM助理结合起来.
- 实现了一个三面板界面用于日记,AI对话和纵向跟踪.
- 包括与模拟医疗保健专家人格互动的专业模式.
主要成果:
- 基于人格的评估表明,通过可解释的人工智能提高了健康素养.
- 该系统保持严格的数据本地化和隐私控制.
- 提出了以患者为中心的AI健康工具的五个设计原则:脱功能,分层透明度,自适应同意,临床医生总结和合规优先架构.
结论:
- 人工智能辅助的日记可以将非结构化的患者叙述转化为结构化的见解,在医疗保健中充当中间件.
- 这种方法使患者成为积极护理合作伙伴,同时确保临床监督.
- 需要进一步的试验来评估对护理连续性,沟通和长期结果的影响.
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