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Modernization of Clinical Data ETL Pipelines for Enhanced Cancer Research
  1. case
  2. Modernization of Clinical Data ETL Pipelines for Enhanced Cancer Research

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Modernization of Clinical Data ETL Pipelines for Enhanced Cancer Research

sunscrapers.com
Medical
Information technology
Health & Fitness

Clinical Data Integration Challenges

Existing ETL pipelines struggle with processing diverse clinical data sources efficiently, maintaining data quality standards, and scaling to meet growing research demands. Legacy systems require modernization to handle complex data mapping, standardization, and secure storage requirements in healthcare environments.

About the Client

Healthtech scaleup specializing in real-world cancer data aggregation and analysis, established in 2011 by medical and technical experts

Data Pipeline Modernization Goals

  • Enhance ETL pipeline performance by 40%
  • Implement automated data quality monitoring systems
  • Standardize clinical data sets through migration routines
  • Establish scalable Google Cloud-based data warehouse architecture
  • Improve integration with Mirth Connect interface engine

Core System Capabilities

  • Multi-source data aggregation services
  • Automated schema mapping and transformation engine
  • Real-time data quality monitoring dashboard
  • Data standardization and cleanup workflows
  • Cloud-native pipeline orchestration framework

Technology Stack Requirements

PostgreSQL
BigQuery
Google Cloud Platform
Mirth Connect
RhinoJS
Flyway

System Integration Needs

  • NextGen Connect (Mirth) interface engine
  • Existing clinical data repositories
  • Security compliance frameworks (HIPAA)

Operational Requirements

  • 99.9% system uptime SLA
  • Real-time data processing latency <2s
  • Enterprise-grade data encryption
  • Horizontal scalability to 10M+ records/day

Expected Business Outcomes

Accelerated clinical research capabilities through 2x faster data processing pipelines, improved data quality metrics by 60%, and enhanced scalability supporting 50% more concurrent research projects. Security enhancements will ensure full compliance with healthcare data regulations while maintaining operational efficiency.

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