ChartWhisper: Healthcare Analytics Platform
A comprehensive healthcare data auditing platform that combines web scraping via a Chrome browser extension, AI-powered analysis using Azure OpenAI, and multi-user dashboards for quality scoring and compliance tracking. Features multi-tenant organizations, patient data records with quality scores, role-based access control, and detailed daily/monthly analytics.
Key Features
Development Highlights
Technology Stack
Our Contribution
Platform Architecture
Designed overall application architecture for scalable healthcare data auditing with multi-tenant organization support.
Data Extraction Pipeline
Developed the Chrome Extension (Manifest v3) with content script injection for seamless data capture from clinical web systems, including deep iframe traversal.
AI Processing Engine
Implemented Azure OpenAI integration for HTML-to-JSON conversion, quality scoring with configurable prompt versioning, and automated CPT code suggestions.
Backend Development
Built the NestJS backend with TypeORM, MySQL, Redis caching, JWT authentication with Argon2, and AES encryption for sensitive data at rest.
Frontend & Analytics
Created the React frontend with Redux Toolkit, multi-user dashboards, disease analytics, quality metrics visualization, and comprehensive audit trail views.
Security & Compliance
Implemented end-to-end security with AES encryption, role-based access control across four user roles, and full audit logging for healthcare regulatory compliance.
Results
What Makes This Special
Combines Chrome extension-based clinical data capture with AI-powered quality analysis to automate healthcare data auditing, ensuring accuracy, compliance, and efficiency across multi-tenant organizations.
Frequently Asked Questions
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.
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