An AI patient agent joins a live WebRTC room and role-plays a clinical scenario. Students conduct the encounter by voice while the platform transcribes, generates the patient's responses, and speaks them back in real time.
What this use case is
Patient Simulation Training puts a medical student in a live voice conversation with an AI-driven patient persona. The student selects a scenario — a child with diabetes, an elderly patient with hypertension — and an AI agent joins the WebRTC room with scenario-specific persona instructions. The full STT → LLM → TTS pipeline runs in real time so the encounter feels like a real consultation.
Interaction pipeline
The ordered path a session takes through the platform for this use case.
Architecture highlights
Platform capabilities
Explore the architecture
Infrastructure diagram, traffic flow, and key specs.
Standard Cloud, Hybrid, and Self-Hosted options.
Six-layer defense-in-depth controls.
Every phase, route, and protocol for this use case, end to end.