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0% hallucinations across 329 clinician-validated triage scenarios

Schmitt-Thompson Clinical Content (STCC), the source of nurse triage guidelines used by most North American medical call centers, partnered with Vstorm to build a four-stage agentic RAG system on Pydantic AI. By treating the triage decision trees as the only source of truth and tracing every step with Pydantic Logfire, the system reached 0% hallucinations across 329 clinician-validated scenarios.

We approached this as a safety program first.
Matthew Thompson, Product Manager, STCC, Schmitt-Thompson Clinical Content

Products Used:

Pydantic AIPydantic Logfire
4 mins

Learn how Pydantic AI powered a four-stage agentic RAG pipeline that answers strictly from STCC's triage decision trees, with Pydantic Logfire making every step traceable and auditable, and zero hallucinations across 329 clinician-validated scenarios.

Read the full case study