# Recon

- **Event:** [The Future of Agentic AI in Healthcare - Abridge x Anthropic x Lightspeed](https://cerebralvalley.ai/e/abridge-hackathon)
- **When:** Sat, Jul 18 at 9:00 AM – 10:00 PM (PDT)
- **Where:** San Francisco, CA
- **Team:** [Britney Forsyth](https://cerebralvalley.ai/u/britneytf)
- **GitHub:** https://github.com/britneyf/recon
- **Demo video:** https://youtu.be/Me1FE-1bIcs
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/29

Recon is a conversation-to-chart reconciliation agent for ambient clinical AI. It compares the patient conversation, AI-generated clinical note, and structured FHIR chart to identify clinically meaningful discrepancies before the note is finalized. Rather than editing the medical record, Recon provides evidence-backed clarification prompts, allowing clinicians to quickly verify potential inconsistencies while remaining in full control of the final documentation.

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/29. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt