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This site is the technical hub for people collaborating on the comparative clinical-extraction study and its core product, the Grader. If you just joined, start at Getting Started.
Restricted access: if you’re seeing this, you already have authorized access. The content here is as sensitive as the private repos it links to — treat it the same way, don’t forward it or publish it outside this group. See Guardrails for details.
Agents and LLMs: start at /llms.txt. Use /llms-small.txt for reduced context or /llms-full.txt for the complete site.
The project, in short
Section titled “The project, in short”We automate preparation of clinical records for a rheumatology biologics registry (the registry’s name and the collaborating entities stay in stealth mode — see Guardrails). Physicians took their consultation note and had to re-enter it manually into the registry platform; the pay for doing so dropped from ~$30 to ~$12 USD per patient, and several physicians no longer do it. The bet: an engine that reads the note, prepares a structured draft, and helps the clinician correct and approve it before any controlled submission.
To back that bet with numbers we run a comparative study — several extraction “harnesses” over the same corpus of real notes:
- Plain LLM — no specialized prompt, baseline. Lives in
pokta-care-monorepo, not a separate service. - RheumaAI — an agent already trained in rheumatology. Own repo, own service.
- Grader — the evolving product. Own repo, own service, forked from RheumaAI.
- An optional fourth arm (an LLM tuned by another rheumatologist) — registered in code as a placeholder, not running yet.
How these pieces connect — who calls whom, where results land — is in Architecture, not here; this page is just the “what’s what” map.
North Star: the end goal isn’t “read a Word doc and fill a form” — it’s a real-time copilot that, during the consultation, extracts the clinical information live and tells the physician “you forgot to ask X” before the visit ends. Retrospective note extraction is the training and validation for that engine, not the final product.
The repos
Section titled “The repos”| Repo | What it is | Service |
|---|---|---|
pokta-grader-bioagent |
The Grader — arm 3 of the study | Railway, grader.poktacare.com |
rheuma-ai-bioagent |
RheumaAI — arm 2 of the study | Railway, rheumai.xyz |
pokta-care-monorepo |
Study orchestrator: arm 1, scoring, persistence, and the product app (app.poktacare.com) |
Vercel + Railway |
Full detail, with direct links to each one’s README/CONTRIBUTING, in Repos & Guides.
- Dr. Erick Zamora Tehozol — Rheumatology and clinical validation
- Ing. Ángel Meléndez Córdoba — Engineering
Where to go next
Section titled “Where to go next”- Getting Started — access checklist, where to start depending on which repo you’ll work in.
- BiobadamexAI — current workflow: intake, extraction, clinical review, and controlled submission.
- Architecture — how the three repos connect: who calls whom, how it’s measured, where results land.
- Repos & Guides — link directory.
- Guardrails — the non-negotiable rules. Read them before your first change.