| Summary: | As care for old adults increasingly shifts to the home, integrating everyday health data into clinical practice remains a major challenge. Current solutions based on passive sensors or wearable data often lack contextual understanding, leaving clinicians disconnected from the lived experience at home. To address this gap, we propose a user-centered, natural language-based, asynchronous platform enabling patients to communicate relevant health events and contextual insights in their own words. Developed through a participatory design process, our web-based prototype integrates a large language model with interfaces visualizing health and sensor data, and facilitates communication with hospital care teams. The system supports real-time data sharing, thereby contributing to bridging the hospital-home divide. Early feedback has informed iterative technical refinements, and a real-world user study is in progress. This approach represents an important step toward empowering older adults as active partners in their care and enabling more individualized, responsive clinical decision-making.
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