A modern, AI-powered healthcare provider verification platform built with Next.js. HealthNet AI uses intelligent algorithms to validate healthcare providers across multiple data sources including NPI registry, website verification, and phone validation.
- AI-Powered Verification: Intelligent multi-source validation using advanced algorithms
- Real-time Analysis: Concurrent processing of multiple providers with live progress tracking
- Comprehensive Validation:
- NPI Registry verification
- Website availability and content analysis
- Phone number format validation
- Confidence scoring system
- Modern UI/UX: Beautiful, responsive design with real-time feedback
- Export Capabilities: Download verification results as CSV
- Performance Optimized: Serverless architecture with efficient concurrent processing
- Framework: Next.js 14
- Styling: Tailwind CSS
- API Integration: Axios
- Deployment: Vercel (serverless functions)
- Clone the repository
git clone <repository-url>
cd HealthNet- Install dependencies
npm install- Run development server
npm run devOpen http://localhost:3000 in your browser.
- Push this repository to GitHub
- Import the project on Vercel
- Vercel will automatically detect Next.js and configure the deployment
- Your application will be live!
- Add Providers: Enter provider information (name, phone, website, NPI, address)
- AI Verification: The system validates each provider across multiple sources:
- NPI Registry API for official provider verification
- Website analysis for availability and content matching
- Phone number format validation
- Confidence Scoring: Each provider receives a confidence score based on verification results
- Results: View detailed verification results with AI-powered insights
- Export: Download results as CSV for further analysis
/api/npi- NPI Registry verification proxy/api/proxy- Website content analysis proxy
- Be mindful of external API rate limits when processing large batches
- NPI verification uses the official CMS NPI Registry API
- Website verification includes timeout protection and error handling
This project is private and proprietary.