HealthQ is a novel framework for assessing how effectively LLM chains can gather critical patient information through well-crafted questions in healthcare conversations.

• Implements advanced LLM chain architectures including Retrieval-Augmented Generation, Chain of Thought, and reflective chains
• Evaluates models on their ability to elicit comprehensive patient information through appropriate questioning
• Utilizes specialized healthcare datasets (ChatDoctor and MTS-Dialog) for relevant assessment
• Provides insights into creating more effective digital healthcare assistants that can actively gather critical patient information

This research addresses a critical gap in healthcare AI: moving beyond passive question-answering to active information gathering that mimics skilled healthcare providers, potentially improving remote patient care and reducing diagnostic errors.

HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations