# shimayuz

- **Event:** [Built with Opus 4.6: a Claude Code hackathon](https://cerebralvalley.ai/e/claude-code-hackathon)
- **When:** Feb 10 at 12:00 PM – Feb 17 at 10:00 AM (EST)
- **Where:** Location TBA
- **Team:** [Yusuke Fukushima](https://cerebralvalley.ai/u/Shimayuz)
- **GitHub:** https://github.com/shimayuz/Inertia-Linter
- **Demo video:** https://www.youtube.com/watch?v=o5R1xGRAqpY
- **Gallery:** https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery/74

Inertia Linter detects where chronic disease treatment has stalled, classifies why, and resolves barriers — without sending patient data to an LLM.
I'm a 20-year cardiologist. I built this for a problem I see weekly — patients whose meds aren't optimized despite clear guidelines.
One click audits treatment across diabetes, heart failure, and hypertension, producing an Optimization Score (0–100) with 15 blocker codes. Zero blame, maximum clarity.
Detection alone doesn't save patients. The Resolution Layer auto-generates PA forms with ICD-10 and guideline citations, suggests $4/month bridge prescriptions, and switches to generics. 30-minute workflow becomes 30 seconds.
A deterministic TypeScript rule engine handles all clinical logic. Opus 4.6 receives only abstract status codes — never patient data. PHI protection is architectural, not policy.
Only 1% of patients are on optimal therapy. I built this to close the gap between what guidelines say and what patients receive.

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Markdown version of https://cerebralvalley.ai/e/claude-code-hackathon/hackathon/gallery/74. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt