Arxivga qaytish
II. Klinik AI va tibbiy platformalarvitrinaishtirokchimijoz anonimlashtirilgan

Sog'liqni saqlash uchun AI-native Work OS

MISS — US healthtech platformning flagman AI-native "Work OS" mahsuloti: sog'liqni saqlash uchun yagona multi-tenant platforma (LIS + CIS + CRM + RCM + akkreditatsiya + bemor ilovasi + Cortex AI vositalari). Barcha boshqa mahsulotlarni o'ziga singdirayotgan yagona repozitoriy. Foydalanuvchi asosiy hissa qo'shuvchilardan biri (2-muallif, ~760 kommit).

Holat
faol
Davr
2026-02-09 → 2026-05-26
AI sessiyalar
243
Stek
Tillar
TypeScriptSQL
Freymvorklar · Infra
Next.js 16Elysia.jsBunDrizzleBetter AuthGCP Cloud Build
§01

Umumiy ko'rinish

  • Bu nima: "bitta mahsulot, bitta repo" — MISS US healthtech platform'ning yagona mahsuloti sifatida joylashtirilgan bo'lib, turli xil mijoz turlariga alohida mahsulotlar sifatida emas, balki turli RBAC + konfiguratsiyaga ega Organizatsiyalar sifatida xizmat qiladi: klinik (De Factum — LIS+CIS+CRM+chartlar+BI), akkreditatsiya (IAC/CBAHI/SASE + Cortex), bemor ilovasi va US healthtech platformning o'zi (birinchi tenant, dogfooding). Jamoaning boshqa barcha repozitoriylari (healthcare-crm, regain-accreditation, regain-brain/Hermes/Deutsch/Popper/Bench, command-center) "singdirish" rejimida → MISS modullariga aylanmoqda.
  • Turi / holati / roli: web-app (ulkan multi-tenant monorepo) / faol / contributor (asosiy — 2-muallif). Lider/asoschi — Anton Kim (US healthtech platform) ~4378 kommit; foydalanuvchi (Davron+Dave93) — ~760 kommit (~17%, 2-o'rin); shuningdek E2E botlar, Codex bot va boshqa hissa qo'shuvchilar.
  • Faollik oynasi: 2026-02-09 → 2026-05-26 — ~3.5 oyda 4556 kommit (nihoyatda yuqori AI-driven tezlik).
§02

Stek

  • Monorepo: Turborepo + Bun; apps/web, admin, api (Elysia.js), queue (background/OCR), sites. Next.js 16 + React, Better Auth + chuqur RBAC (personalar: registered nurse, physician, lab_director, admin_director_finance, transfusion nurse…), Drizzle/PostgreSQL, Eden Treaty (type-safe API), next-intl (ru/en/uz), shadcn / glassmorphism UI.
  • AI ("Cortex"): AI vositalari oilasi (patient-health-book va boshqalar uchun cortex tool), OCR pipeline, PDF korpusidan IAC ekstraksiyasi.
  • Infra/deploy: GCP (Cloud Build — cloudbuild.yaml 19 KB, cloudbuild-dev.yaml, .gcloudignore), Docker, Redis, infra/.
  • AI tooling (ko'p): .claude/ (243 sessiya!), .codex/, .cursor/, .opencode/, .agents/, .deep-research/, .harness/, .mcp.json, .playwright-cli — multi-agent ishlab chiqish.
§03

Nima qilindi

Juda katta hajm; PR-driven (raqamlar #14xx). Ko'rinadigan klinik/biznes modullari:

  • RCM (Revenue Cycle Management): claims, coding, denials — tab-render tuzatishlari, field-mapping, seed fixtures (#1453, #1452).
  • RBAC/auth: persona-demo bo'shliqlarini yopish, kirish grantlari (rcm→admin_director_finance, checkups→lab_director+physician) (#1451, #1450, #1447).
  • Checkups: UX parity, healthcare-crm'dan 5 ta surface'ni porting qilish (#1448).
  • Patient Health Book: cortex tool + admin sahifasi (#1436), sidebar + queue OCR dep (#1446).
  • IAC akkreditatsiya: "ASIC Composer 2.5 evidence slice", workplan control plane, ekstraksiya uchun real PDF korpus gate'i (#1449, #1444, #1442).
  • Foydalanuvchi hissasi: ~760 kommit (aniq modullar uchun alohida git log --author tahlili kerak; hajm bo'yicha — asosiy jamoa a'zolaridan biri).
§04

Texnik chellenjlar

(Platforma miqyosida; mualliflik taqsimlangan — foydalanuvchi yagona emas, balki asosiy hissa qo'shuvchilardan biri.)

  • "Bitta mahsulot = RBAC + konfiguratsiya orqali turli tenantlar" — arxitektura invarianti: parallel kod bazalari o'rniga mijozlar rollar/konfiguratsiya/Cortex routing orqali ajratiladi. → Platforma darajasidagi mahsulot-arxitektura fikrlashi.
  • Chuqur klinik RBAC — medication orders (CPOE: administer-medication), transfuziya monitoringi, nazorat qilinadigan moddalar chiqindisining guvohlik ostida yo'q qilinishi — klinik vorkflowlar uchun nozik ruxsatlarga ega rollar. → Domenli murakkab avtorizatsiya (sog'liqni saqlash, regulyativ talablar).
  • AI pipelinelar (Cortex/OCR/IAC): "gate" tekshiruvlari bilan real PDF korpuslaridan ekstraksiya, OCR queue, har bir bemor uchun AI vositalari. → Production ML/AI integratsiyalari.
  • Multi-tenancy + GCP deploy (Cloud Build, dev/prod), type-safe monorepo (Eden Treaty), E2E botlar bilan nihoyatda yuqori PR tezligi.
§05

AI yordamida ishlab chiqish

  • Topilgan sessiyalar: ushbu loyiha uchun lokal Claude Code sessiyalar katalogida 243 ta .jsonlportfolioning rekordi, qolganlaridan bir necha barobar ko'p. Bundan tashqari parallel vositalar: Codex (.codex, git'dagi Codex bot), Cursor, opencode, .agents, .deep-research, .harness.
  • AI bilan nima qilingan: aslida barcha ishlab chiqish AI-native; 3.5 oyda 4556 kommit faqat kuchli AI yordami bilan mumkin. CLAUDE.md (35 KB) + AGENTS.md (35 KB) — agentlar uchun batafsil strategik ko'rsatmalar.
  • AI workflow patternlari (brend uchun eng yuqori daraja): multi-agent (Claude Code + Codex + Cursor), E2E botlar bilan PR-driven (US healthtech platform E2E), CLAUDE.md'dagi strategik "invariantlar", mahsulotning AI qatlami sifatida Cortex, tadqiqot va verifikatsiya oqimlari uchun .deep-research/.harness.
§06

Yutuqlar va metrikalar

  • 4556 kommit / ~3.5 oy; foydalanuvchi ~760 (2-muallif).
  • Sog'liqni saqlash platformasi: LIS/CIS/CRM/RCM/akkreditatsiya/bemor + AI (Cortex/OCR).
  • 5 ta app (web/admin/api/queue/sites), GCP deploy, chuqur RBAC.
  • 243 CC sessiyasi + multi-agent tooling — portfolioning miqyosda AI-driven ishlab chiqishining eng kuchli isboti.
§07

Hissa qo'shganlar

git shortlog · barcha branchlar

  1. Dave93760
  2. Anton Kim4,381
  3. Regain E2E366
  4. aniashev91
  5. Harsh Manwani39
  6. Test37
  7. Codex Regain Lane16
  8. uzaxirr8
  9. miss-audit1
9 hissadorjami 5699 ta kommit
Hozirda

Senior / Staff muhandis rollari va tanlab olingan frilansga ochiqman — prodakshn AI, platforma va full-stack ishlar.

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