Designing and Deploying mHealth Studies at Michigan: From Novel Devices to Interventions to LLM-Powered Tools

Zoom information will be sent to e-HAIL members.

Mobile health (mHealth) technologies offer unprecedented opportunities to deliver personalized, scalable interventions that meet patients where they are. Yet translating research-grade mHealth tools into rigorous clinical studies — and eventually into sustained clinical practice — demands tight collaboration between clinicians, data scientists, and AI researchers.

This interactive eHAIL seminar will review experiences from three studies — MIPACT, VALENTINE, and myBPmyLife — to share lessons learned across the full study lifecycle, from participant engagement and data collection to intervention delivery and evaluation. We will introduce the JUSTIN platform as a framework for designing novel adaptive interventions that respond dynamically to patient behavior and context. We will also share emerging opportunities to incorporate large language models (LLMs) into mHealth intervention design — including conversational agents.

Critically, this session is designed to be a conversation, not a lecture. We will actively solicit input from attendees on research priorities, technical challenges, and collaborative opportunities as we collectively work to shape the next generation of intelligent health tools for mHealth studies at Michigan. Participants with backgrounds in machine learning, human-computer interaction, clinical research, and health services science are all encouraged to engage.