Enhancing EMR Efficiency for Specialists Using AI-Assisted Referral Summaries
Explore a fully Canada-hosted, privacy-compliant AI solution for referral summarization designed to reduce reading burden and improve accuracy in specialist workflows. This session highlights results from a 500-case pilot study and introduces a five-step quality assurance checklist to safely integrate AI-generated summaries into certified EMRs while maintaining patient safety and data integrity.
Presented by:
- Hanmu Yan, MD, Urologist
Presenter Bios:
Hanmu Yan, MD,
Hanmu is a practicing Canadian urologist and the creator of TranslationalAI. He designs and builds the platform himself—using AI-assisted development tools to speed up coding while shaping every layer of the system, from clinical logic to infrastructure.
With a background in surgery and applied AI, he builds with a clear goal: to solve real problems doctors face every day. The TranslationalAI suite—ChartPrepper, LightScribe, and Partner in Practice—was created from the ground up with clinical precision, simplicity, and empathy for how medicine actually works.
Date
- Apr 24 2026
Time
- 10:25 am - 10:55 am
