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Healthcare•10 months

Healthcare AWS Data Lake Platform

Disparate data sources preventing clinical insights

Client

Multi-Hospital Health System

Duration

10 months

Team Size

10 data specialists

The Challenge

A large health system had patient data scattered across multiple legacy systems, making it impossible to gain comprehensive insights for clinical decision-making. Data was siloed in different departments, formats varied widely, and there was no unified view of patient care across the organization.

Our Solution

We built a comprehensive data lake on AWS S3 with automated data ingestion from multiple sources using AWS Glue. Real-time data streaming was implemented with Kinesis, and interactive dashboards were created using QuickSight for clinical decision support.

Implementation Approach

  • 1Data source inventory and mapping across all systems
  • 2HIPAA-compliant AWS architecture design
  • 3Automated data ingestion pipelines with AWS Glue
  • 4Real-time streaming implementation with Kinesis
  • 5Data transformation and quality validation
  • 6QuickSight dashboard development
  • 7Comprehensive security and compliance implementation

Technologies Used

AWS S3AWS GlueAmazon KinesisQuickSightAWS Lake FormationAWS KMS

Results & Impact

  • ✓40% improvement in patient outcomes
  • ✓Real-time clinical decision support
  • ✓HIPAA-compliant AWS architecture
  • ✓Unified view of patient data across all departments
  • ✓50% reduction in time to clinical insights
“The data lake transformed how we deliver patient care. Having real-time insights has literally saved lives.”
— Chief Medical Officer, Health System

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