Value-based kidney care platform serving 50 states with ML-driven patient personalization
Interwell Health operates a clinical platform for chronic kidney disease management across all 50 states, partnering with over 2,000 nephrologists. The tech stack—Epic, Databricks, dbt, Microsoft Fabric, Delta Lake, and dual-cloud (Azure + AWS)—reveals a healthcare org in mid-transformation: moving from siloed EHR data (Epic, SQL Server) toward a modern lakehouse architecture (Databricks, Delta Lake, Unity Catalog) to enable the ML personalization and value-based financial models central to their business model. Accelerating hiring across healthcare operations, sales, and data roles signals aggressive network expansion and the operational complexity of transitioning 2,000+ providers to risk-adjusted compensation.
Notable leadership hires: Risk Adjustment Director
Interwell Health delivers value-based care for chronic kidney disease patients, serving the full spectrum from stage 3 CKD through kidney failure. The company operates a distributed model: clinical care delivered by an interdisciplinary team, paired with provider enablement to help nephrologists deliver personalized treatment across all 50 states and Puerto Rico. The care model is backed by machine learning algorithms that adapt treatment to individual patient risk profiles. Revenue and performance metrics are tied to outcomes (cost and quality), not volume—a fundamental operational shift that requires real-time data integration, predictive analytics, and tight provider alignment.
Core systems: Epic (EHR), SQL Server, Databricks, dbt, Microsoft Fabric, Delta Lake, Azure, AWS, GCP. Analytics: Tableau, Power BI. Programming: Python, PySpark, Scala, T-SQL, SAS.
Interwell partners with more than 2,000 nephrologists to deliver care across all 50 states and Puerto Rico.
Interwell Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.