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Healthcare Auditing

AI-Powered Healthcare Data Auditing & Quality Analysis System

A healthcare organization needed to ensure accuracy and compliance in their medical data management processes, requiring automated auditing of healthcare information extracted from web-based systems.

Discuss Your Project
AI-Powered Healthcare Data Auditing & Quality Analysis System
Healthcare Auditing
Domain
10
Technologies
4
Key Results
Delivered
Status

The Challenge

Healthcare data accuracy is critical for patient safety and regulatory compliance. The organization faced:

  • Manual, error-prone auditing of healthcare data across multiple web platforms
  • Inconsistent data quality with no standardized scoring mechanism
  • Lack of CPT code validation and suggestion capabilities
  • No centralized compliance reporting or audit trail

Our Solution

We built a comprehensive healthcare data auditing platform that combines web scraping, AI-powered analysis, and multi-user dashboards for quality scoring and compliance tracking.

Architecture

  • Backend: NestJS 10 with TypeScript, MySQL/TypeORM, Redis caching
  • Frontend: React 18 with TypeScript, Vite, Redux Toolkit, Tailwind CSS
  • Browser Extension: Chrome Manifest v3 for web page data extraction
  • AI Engine: Azure OpenAI (GPT-4/GPT-5) for data analysis and quality scoring
  • Security: AES encryption for data at rest, JWT with Argon2 authentication

Processing Pipeline

  1. Data Extraction - Chrome extension captures data from web pages and iframes
  2. HTML-to-JSON Conversion - Azure OpenAI transforms raw HTML into structured data
  3. Quality Analysis - AI-powered scoring with configurable prompt versioning
  4. CPT Code Suggestions - Automated procedure code recommendations
  5. Compliance Reporting - Audit logging with temporal analytics

Key Features

  1. Chrome Extension - Content script injection for seamless data capture from clinical web systems
  2. AI Quality Scoring - Multi-model analysis (GPT-4, GPT-5, GPT-5-mini) with prompt versioning
  3. Role-Based Access - Super Admin, Admin, Doctor, and Nurse roles with granular permissions
  4. Disease Analytics - Quality metrics by disease category with severity distribution
  5. Audit Trail - Complete logging of all data operations for compliance
  6. Data Encryption - AES encryption for sensitive healthcare data

Results

Accuracy Improvement: AI-driven analysis caught data quality issues humans missed
Compliance: Full audit trail meeting healthcare regulatory requirements
Efficiency: Automated extraction eliminated manual data entry from web systems
Scalability: Multi-organization support with role-based access control

Technology Stack

NestJSTypeScriptMySQLTypeORMRedisAzure OpenAIReactRedux ToolkitChrome Extension (Manifest v3)AES Encryption

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