"The data platform we’ve built with Databricks gives us a treasure trove of usable, enriched data that sets us apart from anyone else in the industry. It’s the foundation for solving problems no one else can."
- Grant Veazey, CTO, Ensemble
Ensemble, a leading revenue cycle management partner for U.S. hospitals and health systems, unified 2PB+ of provider, payer, and clinical data on the Databricks Data Intelligence Platform to help healthcare organizations recover more revenue, faster. With Databricks AI, Lakebase, and Managed MLflow, Ensemble is moving from fragmented systems and manual pipelines to a more proactive, AI-ready revenue cycle.
Key highlights:
- 20% improvement in organizational efficiency: Ensemble improved internal efficiency by about 20% as teams moved off disconnected SQL Server environments and manual workflows.
- 3–5% improvement in net revenue yield: Customers are seeing a 3–5% uplift in net revenue yield, helping providers recover revenue that might otherwise be lost.
- 2PB+ unified and enriched data foundation: More than 2 petabytes of data now sit in a harmonized, AI-ready environment, creating a stronger base for predictive models and low-latency insights.
- AI-ready operations with Databricks AI: Databricks AI is built to help teams build and deploy quality AI agent systems with custom evaluation and governance for agent workflows.
- Faster app and agent workflows with Lakebase and Managed MLflow: Lakebase provides a Postgres database integrated with the lakehouse for operational workloads, while Managed MLflow supports tracing, evaluation, and model management for AI applications and agents.
🔗 Check out the full story here 👈
