This research introduces a novel end-to-end framework for conducting healthcare surveys using LLM-powered conversational agents, dramatically reducing costs while improving scalability.

• Replaces traditional labor-intensive phone surveys with AI-driven conversations
• Creates a seamless interaction between researchers, participants, and automated agents
• Maintains data quality while significantly reducing resource requirements
• Offers potential to democratize large-scale healthcare data collection

This innovation matters for healthcare research by removing financial and logistical barriers to gathering population-level insights, potentially accelerating medical research and improving patient outcomes through more comprehensive data collection.

Automated Survey Collection with LLM-based Conversational Agents