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Gemcaps - Healthcare RCM Platform

Gemcaps - Healthcare RCM Platform
Next.js
TypeScript
PostgreSQL
Drizzle ORM
AWS SNS/SES
AWS ECS
AWS Lambda
Redis
shadcn/ui

Gemcaps Healthcare RCM Platform

Gemcaps is an advanced healthcare Revenue Cycle Management (RCM) platform designed to streamline medical billing, coding, and patient services. As a Technical Lead, I led a team of 3 developers in building a robust, scalable system that handles complex healthcare data processing and real-time analytics.

Core Features

Medical Coding Automation

  • Real-time ICD-10 and CPT code validation
  • Machine learning-powered code suggestions
  • Automated code review with 98% accuracy
  • Custom rule engine for coding compliance

Billing Management

  • Automated claim generation and submission
  • Real-time payment processing
  • Customizable billing rules and fee schedules
  • Multi-payer integration support

Patient Services Portal

  • Insurance eligibility verification
  • Appointment scheduling and automated reminders
  • Secure document exchange and digital forms
  • Patient payment processing and financial counseling

Data Processing & Analytics

  • Real-time data processing pipeline for claims and payments
  • Advanced analytics dashboard for revenue insights
  • Automated reporting and KPI tracking
  • Predictive analytics for revenue forecasting

Technical Architecture

Data Pipeline Design

  • Designed and implemented ETL pipelines using AWS Glue
  • Real-time data processing with AWS Lambda functions
  • Batch processing for large datasets using AWS ECS
  • Data validation and quality checks at each pipeline stage

Database Architecture

  • Designed normalized database schema for healthcare data
  • Implemented efficient indexing strategies for query optimization
  • Set up database replication and backup systems
  • Optimized query performance for real-time analytics

System Architecture

  • Microservices architecture for scalable deployment
  • Containerized services using Docker and AWS ECS
  • Load balancing and auto-scaling configuration
  • High availability setup with multi-region deployment

Technical Stack

  • Frontend:

    • Next.js 14 with TypeScript
    • shadcn/ui for component library
    • React Query for state management
    • Tailwind CSS for styling
  • Backend:

    • Node.js with TypeScript
    • PostgreSQL with Drizzle ORM
    • Redis for caching
    • RESTful API architecture
  • Infrastructure:

    • AWS ECS for container orchestration
    • AWS Lambda for serverless functions
    • AWS SNS/SES for notifications
    • AWS S3 for document storage
    • AWS Glue for workflow management

Leadership & Development

  • Led a team of 3 developers in implementing core features
  • Established coding standards and best practices
  • Conducted code reviews and mentored team members
  • Managed sprint planning and technical debt reduction

Key Benefits

  • Automation: Streamlines workflows to reduce errors and improve efficiency
  • Security: HIPAA-compliant with encryption and multi-factor authentication
  • Performance: Optimized with server-side rendering, Redis caching, and CDN
  • Scalability: Handles growing data volumes with efficient processing pipelines

Development Practices

  • CI/CD: Automated pipelines using GitHub Actions
  • Testing: Comprehensive test coverage with Jest and Cypress
  • Documentation: Detailed API docs, system architecture, and user guides
  • Monitoring: Real-time system monitoring and alerting

Future Enhancements

  • AI-powered coding assistance
  • Advanced patient engagement features
  • Mobile app development
  • Enhanced analytics and reporting capabilities

Gemcaps Demo