# OncoOS AI

- **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:** [roupen odabashian](https://cerebralvalley.ai/u/Roupen)
- **GitHub:** https://github.com/Roupen92/OncoOSAI.git
- **Demo video:** https://drive.google.com/drive/folders/1Z0kDcxFGi7HFFuhqmHim-ExFCjNIv7-e?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/76

OncoOS AI is an autonomous oncology co-pilot that lives on top of the EMR and turns a new-patient referral into a guideline-complete, tumor-board-ready workup — without the phone tag, faxes, and follow-up that normally stretch across weeks of a care team's time.

The moment a urologist clicks "Refer to Oncology," a chain of specialized AI agents goes to work inside the chart. A Gap-Finding Agent reads the patient's record, classifies NCCN risk, and pinpoints exactly which investigations are still missing for a complete staging and molecular workup, citing the specific guideline page as verifiable evidence. It then closes those gaps autonomously: auto-filling and faxing the molecular (Caris NGS) requisition to the lab, and placing a real, natural-voice phone call to the patient that discloses it's automated, reassures them, and schedules their imaging. An Order-Entry Agent transcribes the call, extracts the agreed times, and books the orders back in the EMR. As results return, a multi-agent AI Tumor Board convenes and delivers a citation-grounded treatment recommendation with matched clinical trials,  every claim linked to its source, or the agent abstains.

The problem it solves: oncology workups are slow, fragmented, and frequently guideline-discordant, delaying time-to-treatment for the patients who can least afford it. OncoOS AI compresses the entire coordination burden,  gap detection, ordering, patient outreach, scheduling, and expert review, into one autonomous workflow that surfaces right where the clinician already works. In the demo, a newly diagnosed high-risk prostate cancer patient goes from referral to a fully worked-up, BRCA2-driven, trial-matched treatment plan, hands-free.

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Markdown version of https://cerebralvalley.ai/e/abridge-hackathon/hackathon/gallery/76. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt