为重症老年患者家属设计智能信息助手，缓解信息焦虑
"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
- 通过访谈11位家属，发现其面临医疗信息难理解、获取渠道少的问题
- 提出带时间线可视化与大模型聊天机器人的原型系统
- 适合关注医疗AI、老年护理、人机交互的研究者与设计师
老年患者在重症监护室（ICU）中的比例持续上升。由于患者昏迷，家属需代表其获取并理解复杂的医疗信息，但当前依赖过度繁忙的医护人员，且普遍缺乏健康素养来解读。本研究通过11名家属的初步访谈，识别其信息获取与理解的挑战，并据此提炼出设计需求，提出一个基于AI的系统原型。该原型包含两个核心功能：一是通过AI提取并总结老年患者的關鍵医疗事件，以时间线形式可视化；二是基于大语言模型的聊天机器人，提供情境感知的信息支持。最后，我们报告了系统的后续用户评估结果，并探讨未来面向老年患者家属的智能系统发展方向。
原文摘要 · Abstract (English)
Older adult patients constitute a rapidly growing subgroup of Intensive Care Unit (ICU) patients. In these situations, their family caregivers are expected to represent the unconscious patients to access and interpret patients' medical information. However, caregivers currently have to rely on overloaded clinicians for information updates and typically lack the health literacy to understand complex medical information. Our project aims to explore the information needs of caregivers of ICU older adult patients, from which we can propose design opportunities to guide future AI systems. The project begins with formative interviews with 11 caregivers to identify their challenges in accessing and interpreting medical information; From these findings, we then synthesize design requirements and propose an AI system prototype to cope with caregivers' challenges. The system prototype has two key features: a timeline visualization to show the AI extracted and summarized older adult patients' key medical events; and an LLM-based chatbot to provide context-aware informational support. We conclude our paper by reporting on the follow-up user evaluation of the system and discussing future AI-based systems for ICU caregivers of older adults.
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