Instead of layering AI on top of workflows, Stanford developed ChatEHR—a real-time, in-Epic platform designed to operate inside clinical workflows.
The platform allows clinicians to ask plain-language questions directly within the chart, retrieve and synthesize patient data in seconds, and automate routine workflows without leaving Epic.
ChatEHR delivered measurable impact across the organization:
- 40–70% reduction in time spent on targeted workflows
- >95% faster data retrieval (from ~2 minutes to ~4 seconds)
- 4+ clinician hours saved daily from a single automation
- 450+ active users across clinical and operational teams
These gains came from embedding AI where work actually happens—not asking clinicians to adapt to new tools.
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