# Abby

- **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:** [Oliver Aalami](https://cerebralvalley.ai/u/OliverA)
- **GitHub:** https://github.com/aalami5/abby
- **Demo video:** https://www.loom.com/share/db5a25789b3c4c059b420e14dcfd598a
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/114

Abby is a patient-state agent built around the Abridge workflow. After an ambient clinical note is created, Abby continues the conversation outside the visit: it reads transcript/FHIR context, securely verifies the patient, performs a focused specialty-specific check-in, extracts interval changes and red flags, and prepares an action-oriented brief for the clinician.

For this demo, Abby uses the synthetic Abridge ambient/FHIR dataset to show a full loop: admin and provider setup, patient outreach, OTP-style identity verification, patient chat, structured FHIR-shaped patient-reported updates, safety/evaluation gates, and clinician approval before any write-back or scheduling action. The goal is to turn Abridge from a note-generation endpoint into the beginning of an ongoing care loop: what changed, what matters, what needs clinician attention, and what can be safely queued for follow-up.

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/114. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt