Optimizing healthcare revenue cycle management

Ensemble Health Partners' legacy SSIS/SQL Server infrastructure created data silos because each client needed a separate database, per CTO Grant Veazey, leaving pipelines slow, unreliable, and fragmented across client environments and EHR instances. Ensemble adopted the Databricks Data + AI Platform with Delta Lake as its core storage layer and Unity Catalog for access controls, standardizing processing across environments. The result was a 10x reduction in data/infrastructure failure rates and a 2x performance improvement, managing 800TB+ of healthcare financial data, 25+ billion transactions, 65,000 payer updates annually, and 5,500+ ML models supporting revenue cycle management. VP Mike Wilson said reusable pipelines help both data integrity and faster client onboarding.

Databricks is a unified data-and-AI lakehouse platform, used across pharma R&D for everything from early prototyping to production model governance via Unity Catalog.

This sits in the Design & Stress-Test stage of the AI use-case lifecycle: Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.