AI often misleads when it reasons on incomplete or stale context. This session shows how Model Context Protocol (MCP), paired with device and clinical/workflow truth, assembles permissioned, time-bounded, and auditable context so a clinician-in-the-loop assistant can deliver clinical specialty aware guidance at the moment of care and draft next-best actions for review. Grounded in obstetrics triage and cardiac risk scenarios, we'll share field lessons that reduce hallucinations, surface unanticipated signals, and enable safe tool use-turning AI from an opportunistic guesser into a transparent, evidence-first aide.
