超越决策支持：探索患者在真实世界医疗寻求旅程中大型语言模型的纵向使用
More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare-Seeking Journeys
AI总结：
本文通过为期四周的日记研究，探讨患者在真实世界医疗寻求旅程中如何将LLM作为动态伴侣，改变传统患者-提供者关系中的权力动态，并提出未来LLM应作为纵向边界伴侣持续调解患者与临床医生之间的互动。
摘要：
大型语言模型（LLMs）近年来被越来越多地采用以支持患者的医疗寻求行为。尽管先前以患者为中心的研究已经考察了基于LLM的工具在特定健康相关任务中的能力和经验，如信息获取、诊断或决策支持，但现实世界实践中医疗的固有纵向性质却未被充分探索。本文通过为期四周的日记研究，对25名患者进行了调查，以考察LLM在医疗寻求轨迹中的作用。我们的分析发现，患者不仅将LLM视为简单的决策支持工具，而是将其作为动态伴侣，支撑他们在行为、信息、情感和认知层面的旅程。同时，患者主动为LLM赋予了多样的社会技术意义，改变了传统患者-提供者关系中的代理、信任和权力动态。基于这些发现，我们概念化未来的LLM为一个纵向边界伴侣，持续调解患者和临床医生之间的互动，贯穿整个纵向医疗寻求轨迹。
英文摘要：
Large language models (LLMs) have been increasingly adopted to support patients' healthcare-seeking in recent years. While prior patient-centered studies have examined the capabilities and experience of LLM-based tools in specific health-related tasks such as information-seeking, diagnosis, or decision-supporting, the inherently longitudinal nature of healthcare in real-world practice has been underexplored. This paper presents a four-week diary study with 25 patients to examine LLMs' roles across healthcare-seeking trajectories. Our analysis reveals that patients integrate LLMs not just as simple decision-support tools, but as dynamic companions that scaffold their journey across behavioral, informational, emotional, and cognitive levels. Meanwhile, patients actively assign diverse socio-technical meanings to LLMs, altering the traditional dynamics of agency, trust, and power in patient-provider relationships. Drawing from these findings, we conceptualize future LLMs as a longitudinal boundary companion that continuously mediates between patients and clinicians throughout longitudinal healthcare-seeking trajectories.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
