Isang komprehensibong platforma sa pag-audit ng datos sa pangangalaga ng kalusugan na pinagsasama ang web scraping sa pamamagitan ng Chrome browser extension, AI-powered analysis gamit ang Azure OpenAI, at multi-user dashboards para sa quality scoring at compliance tracking. Nagtatampok ng multi-tenant organizations, mga patient data record na may quality scores, role-based access control, at detalyadong daily/monthly analytics.
Dinisenyo ang pangkalahatang arkitektura ng aplikasyon para sa scalable healthcare data auditing na may suporta sa multi-tenant organization.
Binuo ang Chrome Extension (Manifest v3) na may content script injection para sa tuluy-tuloy na pagkuha ng datos mula sa clinical web systems, kabilang ang malalim na iframe traversal.
Ipinatupad ang Azure OpenAI integration para sa HTML-to-JSON conversion, quality scoring na may configurable prompt versioning, at automated CPT code suggestions.
Binuo ang NestJS backend na may TypeORM, MySQL, Redis caching, JWT authentication na may Argon2, at AES encryption para sa sensitibong datos na nakaimbak.
Ginawa ang React frontend na may Redux Toolkit, multi-user dashboards, disease analytics, quality metrics visualization, at komprehensibong audit trail views.
Ipinatupad ang end-to-end security na may AES encryption, role-based access control sa apat na user role, at kumpletong audit logging para sa healthcare regulatory compliance.
Pinagsasama ang clinical data capture na nakabatay sa Chrome extension sa AI-powered quality analysis upang i-automate ang healthcare data auditing, na tinitiyak ang accuracy, compliance, at efficiency sa multi-tenant organizations.
Pag-usapan natin kung paano namin maipapatupad ang iyong bisyon na may parehong antas ng kasanayan at dedikasyon.

MicrocosmWorks built the Chrome Extension using Manifest v3 with content script injection that runs transparently in the background while clinicians use their existing web-based EHR systems. The extension captures relevant clinical data through deep iframe traversal, converts it from HTML to structured JSON using Azure OpenAI, and sends it to the backend without requiring the clinician to switch applications or manually copy data.
MicrocosmWorks implemented quality scoring using Azure OpenAI with GPT-4 and GPT-5 models through configurable prompt versioning. The AI analyzes extracted clinical records against healthcare quality benchmarks, generates quality scores per data category, suggests appropriate CPT codes, and flags potential compliance issues. Prompt versioning allows administrators to refine scoring criteria without code changes, and A/B testing compares scoring accuracy across model versions.
MicrocosmWorks implemented AES encryption for all sensitive healthcare data at rest in MySQL, JWT authentication with Argon2 hashing, and complete audit trail logging for every data access event. Role-based access control supports four user roles: Super Admin, Admin, Doctor, and Nurse, each with scoped permissions. The multi-tenant organization architecture ensures strict data isolation between healthcare practices, meeting healthcare regulatory requirements.
Yes, MicrocosmWorks built ChartWhisper with multi-tenant organization support where each healthcare practice has isolated data, user management, and configuration settings. The Super Admin can manage multiple organizations, while Org Admins control their own practice's users and analytics. Redis caching optimizes cross-tenant queries while TypeORM ensures proper data isolation at the database level.
MicrocosmWorks built comprehensive analytics dashboards showing disease-specific quality metrics, daily and monthly scoring trends, category-level performance breakdowns, and individual provider scorecards. The React frontend with Redux Toolkit presents these insights through interactive visualizations that help quality teams identify systemic documentation gaps. Audit trail reports support compliance reviews and can be exported for accreditation submissions.