Ensemble Health Partners modernizes the healthcare revenue cycle with Databricks

Overview

Healthcare revenue cycle company Ensemble Health Partners migrated its EIQ intelligence engine to a Databricks lakehouse with Delta Lake and Unity Catalog, tuning over 5,500 ML models on 25,000+ variables to prevent claim denials and improve revenue yield, achieving a 2x performance improvement and 10x reduction in failure rates.

The challenge

Ensemble's legacy SSIS and SQL server-based processing was complicated, disjointed and slow, requiring each client to have their own database, obstructing enterprisewide insights and leaving pipelines slow and unreliable across the ETL process.

The solution

Ensemble standardized its EIQ revenue cycle intelligence engine on the Databricks Data + AI Platform, using Delta Lake as its core storage layer to improve ETL reliability and consistency, Unity Catalog for fine-grained data governance and security, and Databricks Notebooks for cross-team collaboration.

Reported business value

Ensemble achieved a 2x improvement in performance and a 10x reduction in failure rates, now consuming over 25 billion transactions and 65,000 payer updates yearly while tuning over 5,500 ML models across 25,000+ variables to prevent claim denials, accelerate payments and improve revenue yield, onboarding new clients faster without adding headcount.