Work

Healthcare Analytics Platform

Python
Healthcare
FHIR
Machine Learning
AWS

Created a HIPAA-compliant healthcare analytics platform for predictive diagnostics, patient monitoring, and clinical decision support using AI/ML.

Medical analytics dashboard showing patient data visualization

Project Overview

Developed a comprehensive healthcare analytics platform that processes and analyzes medical data for predictive diagnostics and clinical decision support. The platform ensures HIPAA compliance while providing powerful insights for healthcare providers.

Key Features

  • Predictive diagnostics
  • Patient risk assessment
  • Clinical decision support
  • Real-time patient monitoring
  • FHIR data integration
  • Secure data exchange
  • Automated reporting

Technical Implementation

  • Python backend with FastAPI
  • FHIR-compliant data model
  • ML models for predictions
  • AWS HIPAA-eligible services
  • HL7 message processing
  • Elasticsearch for search
  • React frontend with D3.js

Security & Compliance

  • HIPAA compliance
  • End-to-end encryption
  • Audit logging
  • Role-based access control
  • Data anonymization
  • Secure API gateway

Impact

  • 40% faster diagnosis time
  • 30% reduction in readmissions
  • 50% improvement in risk assessment
  • 100% HIPAA compliance