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Healthcare Data Centralization and BI Analytics Platform

intechhouse.com

Medical

Healthcare

Information technology

Current Data Fragmentation Challenges

The organization requires a centralized system to aggregate and analyze diverse healthcare event data from distributed sources, while maintaining strict data security and enabling business intelligence capabilities for improved decision-making.

About the Client

A healthcare technology corporation specializing in data-driven health research and software solutions for millions of users

Strategic Project Goals

Establish a unified data repository for healthcare event information
Implement advanced BI analytics capabilities for actionable insights
Ensure secure, role-based access control for internal stakeholders
Create foundation for automated data processing and management logic

Core System Requirements

IoT device integration for automated data collection
Centralized database architecture with real-time updates
Role-based access control system with external protection
Business intelligence dashboard with customizable reporting
Automated data validation and error handling mechanisms

Technology Stack Requirements

Python

AWS Serverless Architecture

AWS CDK

AWK

System Integration Needs

Existing healthcare data systems
Third-party BI analytics tools
IoT device communication protocols

Operational Requirements

High-availability database architecture
Enterprise-grade data encryption
Scalable cloud infrastructure
Low-latency data processing
Compliance with healthcare data regulations

Expected Business Outcomes

Implementation of this solution will enable seamless healthcare data analysis previously impossible, improve operational efficiency through centralized access, enhance data-driven decision-making capabilities, and position the organization for future automation of data management processes.