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Data Infrastructure Modernization and Cloud Migration for Healthcare Operations
  1. case
  2. Data Infrastructure Modernization and Cloud Migration for Healthcare Operations

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Data Infrastructure Modernization and Cloud Migration for Healthcare Operations

n-ix.com
Medical
Healthcare & Life Sciences

Business Challenges in Healthcare Data Integration

The client faced operational inefficiencies due to disparate systems between their organization and newly acquired subsidiaries, including outdated MS SQL Server infrastructure, lack of standardized data workflows, and high maintenance costs for legacy EMR systems. This created barriers to policy alignment and real-time data-driven decision-making.

About the Client

A healthcare company with 30+ years of experience, operating in 20+ states, offering integrated healthcare services and managing clinical operations for acquired subsidiaries

Project Goals for Healthcare Data Modernization

  • Modernize technical stack to align subsidiary operations with corporate standards
  • Implement scalable cloud-native data pipelines for EMR integration
  • Reduce infrastructure costs through optimized GCP migration
  • Establish standardized data governance frameworks
  • Enable advanced analytics capabilities through centralized data architecture

Core System Functionalities and Features

  • GCP-based data lakehouse architecture
  • Automated ETL pipelines using Apache Airflow and DBT
  • Real-time BigQuery analytics dashboards
  • Terraform-managed infrastructure deployment
  • Cost-optimized storage lifecycle policies

Target Technology Stack

Google Cloud Platform (GCP)
Apache Airflow
BigQuery
Cloud SQL
DBT Core
Terraform
Cloud Storage

System Integration Requirements

  • Legacy EMR systems
  • SFTP file transfer protocols
  • Corporate DevOps pipelines
  • Existing analytics tools

Operational Requirements

  • HIPAA-compliant data handling
  • 99.9% system availability SLA
  • Scalable architecture for 10M+ patient records
  • Role-based access control (RBAC)
  • Automated disaster recovery protocols

Expected Business Impact of Data Modernization

Projected 40% reduction in infrastructure costs, 60% faster data processing workflows, and $2M+ annual savings through optimized cloud resource utilization. Enhanced operational visibility via real-time analytics dashboards, with full alignment of subsidiary systems to corporate governance policies within 12 months.

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