Home Health System Deployment Experience for Geriatric Care Remote Monitoring

TL;DR

This paper shares deployment experiences of a remote monitoring system for elderly care, highlighting iterative improvements in hardware, modeling, and UI guided by the Geriatric 4Ms framework, and incorporating an LLM-assisted solution to enhance user experience.

Contribution

It provides practical insights into deploying a privacy-preserving, user-friendly remote monitoring system for geriatric care, integrating iterative hardware, modeling, and UI enhancements.

Findings

Improved hardware and UI based on deployment feedback.

Effective use of LLM to balance privacy and system performance.

Enhanced real-time activity monitoring aligned with Geriatric 4Ms.

Abstract

To support aging-in-place, adult children often provide care to their aging parents from a distance. These informal caregivers desire plug-and-play remote care solutions for privacy-preserving continuous monitoring that enabling real-time activity monitoring and intuitive, actionable information. This short paper presents insights from three iterations of deployment experience for remote monitoring system and the iterative improvement in hardware, modeling, and user interface guided by the Geriatric 4Ms framework (matters most, mentation, mobility, and medication). An LLM-assisted solution is developed to balance user experience (privacy-preserving, plug-and-play) and system performance.