# How is Seattle Children's using an AI agent for clinical pathways?

> Seattle Children's built 'Pathway Assistant' with Google, trained only on its internal clinical pathway documents, to guide clinicians through diagnosis and treatment workflows for 70+ pediatric conditions. Its CMIO told HealthSystemCIO the assistant achieves more than 98% accuracy after tuning and is being rolled out in emergency and urgent care.

- **Evidence grade:** A — Named organization, quantified outcome, independent source (news, paper, filing, or customer quote outside vendor marketing).
- **Organization:** Seattle Children's (pediatric health system)
- **Industry:** Hospitals & Health Systems — Pediatric hospital
- **Roles:** Clinicians & Clinical Ops
- **Tools:** Gemini / Vertex AI (Google Cloud)
- **Status:** pilot · **Agent pattern:** copilot · **Autonomy:** 0/4
- **Last verified:** 2026-10-17

## Reported outcomes
- answer accuracy: more than 98% after repeated tuning and validation [1] (self-reported)

## How it works
1. Trained exclusively on Seattle Children's internal pathway documents.
2. Engages clinicians in multi-step dialogues that adapt to patient details.
3. Standalone by design: no EHR connection and no PHI.

## Risks & compliance
- Clinical decision support only; not medical advice
- Accuracy is self-reported by the organization

## Notes
- Accuracy figure is attributed to Seattle Children's CMIO in the article.

## Sources
1. HealthSystemCIO, "Seattle Children's Builds AI Assistant & Governance Model to Advance Pediatric Care" (2025-05-14) <https://healthsystemcio.com/2025/05/14/seattle-childrens-builds-ai-assistant-governance-model-to-advance-pediatric-care/>
   > "According to Lin, the assistant achieves more than 98% accuracy after repeated tuning and validation, and is being rolled out in emergency and urgent care settings."

Canonical: https://agentcasefile.com/cases/seattle-childrens-pathway-assistant/ · License: CC BY 4.0 (summary) · Source: Agent Casefile