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Development of Scalable ETL Platform for Healthcare Data Integration and Automation

langate.com

Medical

Information technology

Financial services

Challenges in Healthcare Data Management

Healthcare providers face significant inefficiencies in managing patient data from 300+ facilities, including data duplication, inconsistent formats across systems, slow manual data processing workflows, and error-prone manual validation of critical identifiers like SSNs and medical records.

About the Client

National provider of IT and financial services to skilled nursing facilities and rehab centers, serving 300+ healthcare institutions with solutions for data management, revenue optimization, and operational efficiency.

Key Project Goals

Automate end-to-end data processing workflows
Eliminate data duplication through intelligent normalization
Accelerate data ingestion from diverse sources
Implement real-time error detection for critical patient identifiers
Reduce manual data validation workload by 80%

Core System Functionalities

Multi-server parallel processing architecture
Intelligent data normalization engine with variance tolerance
Master data management with record linkage
Real-time error alert system for critical identifiers
Automated duplicate detection and resolution

Technology Stack Requirements

ASP.NET MVC 5

Entity Framework 6

SQL Server 2016

.NET Framework 4.6.1

RabbitMQ

Redis

Quartz.NET

Hangfire

System Integration Needs

Legacy healthcare data systems
Electronic Health Record (EHR) platforms
Financial management systems
Government healthcare databases

Performance and Security Requirements

Horizontal scalability for 10x data volume growth
Sub-5ms latency for critical data validation processes
HIPAA-compliant data encryption at rest and in transit
99.99% system availability with failover redundancy
Real-time monitoring dashboard with alerting

Expected Business Impact

Implementation of this ETL platform will reduce manual data processing time by 75%, decrease data errors by 95%, and enable healthcare staff to focus on patient care rather than data reconciliation. The solution will support expansion to additional facilities while maintaining regulatory compliance and data integrity.