Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture

LLM agents in healthcare face the challenge of reconciling patient self-reports (prone to bias) and electronic health records (validated but often stale). This research introduces a dual-stream memory architecture to strictly separate and reconcile these sources, detecting discrepancies to enhance clinical safety.