# RangerLoop - Raj Singh

- **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:** [Raj Singh](https://cerebralvalley.ai/u/hrhraj)
- **GitHub:** https://github.com/hrhraj/rangerloop
- **Demo video:** https://www.loom.com/share/0d5d94ef03ba45988e6a5d908fa61913
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/30

Half of imaging referrals never complete. RangerLoop is a closed-loop care-execution agent that finishes the job. It takes a signed imaging order, or an Abridge ambient encounter, and extracts the study and deadline, every field evidence-linked to the clinician's own words. Then it works the phones: it calls imaging centers one at a time until it finds a slot on or before the due date (striking out slots that are too late), then places a real, guardrailed voice call to the patient to verify identity and confirm - never disclosing clinical results - and books the appointment. It tracks each order ORDERED - SCHEDULED, and escalates safely to a human when it can't proceed.

Claude Opus 4.8 is the visible orchestrator, deciding each next action via tool use with its reasoning streamed live; a thin deterministic policy layer validates every choice (the agent decides WHAT; the policy decides WHETHER), including a safety gate that blocks any booking without verified patient identity. Every record is FHIR-shaped (ServiceRequest / Patient / Task / Appointment), ready to write back to Epic or Oracle Health. Built entirely today; the voice/telephony stack is pre-existing infrastructure consumed over an HTTPS API only.

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/30. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt