Beyond Chatbots
Why healthcare needs multi-agent AI: traceable, workflow-native systems that pull trusted context and take safe, auditable action.
Healthcare doesn't need "one model to rule them all." It needs systems that can reliably pull trusted context, reason about it, and take auditable action inside real workflows. In this episode, we unpack why monolithic LLMs break down in clinical settings - hallucinations, missing context, fragile integrations - and why multi-agent frameworks are emerging as the next practical step.
We cover the shift from Generation 1 ambient scribes to Generation 2 agents that schedule, code, and order, plus a glimpse of Generation 3 long-running systems that execute sequences of work. Along the way: orchestrators vs experts, memory over messy patient records, and the governance and guardrails needed for safety, traceability, and compliance.
