# Priyanka

- **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:** [Priyanka Shrestha](https://cerebralvalley.ai/u/pri)
- **GitHub:** https://github.com/Priyankas007/healthcare-agent
- **Demo video:** https://youtu.be/ASmBSTbBhUg
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/86

RECALL — a pre-signature coverage agent that detects clinically important omissions in ambient-scribe clinical notes. While ambient documentation has largely solved hallucination, ~76% of its errors are omissions — content said in the visit that silently never reaches the note. RECALL audits every note before signature via an orchestrator–worker pipeline of separate agentic calls: (1) the transcript and encounter FHIR R4 resources are decomposed into atomic, typed clinical facts, each carrying provenance (verbatim quote or FHIR reference); (2) a grounded entailment judge marks each fact present/partial/absent against the note text alone, with verbatim evidence spans; (3) absent facts are classified for expectation and clinical severity; (4) a relevance filter surfaces only expected, safety-critical/major omissions, ranked, with an evaluator–optimizer patch loop that proposes minimal, evidence-grounded note diffs checked by an independent verifier. Because no ground truth exists for omissions, we manufacture it: an injection harness deletes known-present facts from gold notes (confirm-absent QC), yielding a fixed 69-deletion answer key plus 25 untouched false-positive controls — achieving 100% detection recall, a clean-note flag rate of 0.96/note after filtering (1.56 raw upper bound), 0.34% collateral instability, and zero invented facts in a source-vetted multi-agent audit. A stretch demo closes the loop by structuring transcript-only facts (e.g., an uncoded allergy) into FHIR resources and, with mandatory clinician approval, writing them to a sandbox HAPI server (not finished in time)

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/86. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt