AI-Powered Analytics Platform

Overview

We developed an AI-powered analytics platform for a healthcare analytics company that needed to process and analyze large volumes of patient data while maintaining strict HIPAA compliance.

The Challenge

The client needed to:

• Process millions of healthcare records daily
• Extract insights using machine learning
• Provide real-time dashboards to healthcare providers
• Ensure HIPAA compliance throughout
• Scale to handle growing data volumes

Our Solution

Architecture

We built a cloud-native solution on Azure:

Data Ingestion

• Azure Data Factory for ETL pipelines
• Event Hubs for real-time data streams
• Azure Blob Storage for data lake

AI/ML Processing

• Azure Machine Learning for model training
• Custom Python models for healthcare-specific analytics
• Azure Functions for serverless processing

Application Layer

• React-based dashboard
• Node.js API with Express
• SignalR for real-time updates

Security & Compliance

• Azure Key Vault for secrets management
• Azure AD for authentication
• Encryption at rest and in transit
• Comprehensive audit logging

Results

• 5 million+ records processed daily
• Sub-second query response times
• 100% HIPAA compliance maintained
• 60% reduction in manual data analysis time
• ROI achieved within 6 months

Technologies

• Azure (ML, Data Factory, Functions, App Services)
• Python (TensorFlow, scikit-learn, pandas)
• React, TypeScript, Node.js
• PostgreSQL, Redis
• Docker, Kubernetes

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