用AI对话式日记帮帕金森患者更准确记录症状，提升诊疗价值。
AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
- 通过模拟临床访谈设计互动提问，让日记变双向交流。
- 用户研究显示，主动提问显著提升症状记录的完整性和准确性。
- 适合慢性病管理、人机交互设计及医疗AI应用开发者参考。
日记在慢性病管理中至关重要，帮助患者记录症状与服药情况，为长期治疗提供关键数据。然而，传统日记依赖静态自述，缺乏互动反馈与实时引导，常导致信息不全或不准确，限制其临床价值。为此，我们提出专为帕金森病患者（PwPD）设计的AI原型系统PATRIKA，融合协作对话原则、临床访谈模拟与个性化机制，提升日记体验的有效性与易用性。通过两次针对帕金森病患者的用户研究及迭代优化，我们验证了对话式日记在增强患者参与度和获取临床有用信息方面的巨大潜力。结果表明，系统生成的追问问题使日记转变为双向互动；同时，研究也提供了面向医疗日记系统设计的实践洞见及可持续记录的未来方向。
原文摘要 · Abstract (English)
Journaling plays a crucial role in managing chronic conditions by allowing patients to document symptoms and medication intake, providing essential data for long-term care. While valuable, traditional journaling methods often rely on static, self-directed entries, lacking interactive feedback and real-time guidance. This gap can result in incomplete or imprecise information, limiting its usefulness for effective treatment. To address this gap, we introduce PATRIKA, an AI-enabled prototype designed specifically for people with Parkinson's disease (PwPD). The system incorporates cooperative conversation principles, clinical interview simulations, and personalization to create a more effective and user-friendly journaling experience. Through two user studies with PwPD and iterative refinement of PATRIKA, we demonstrate conversational journaling's significant potential in patient engagement and collecting clinically valuable information. Our results showed that generating probing questions PATRIKA turned journaling into a bi-directional interaction. Additionally, we offer insights for designing journaling systems for healthcare and future directions for promoting sustained journaling.
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