Value-based kidney care for CKD patients and nephrology practices
Interwell Health runs value-based kidney care for patients from CKD stage 3 through kidney failure, pairing Epic clinical systems with a Databricks, Delta Lake, dbt and Microsoft Fabric data platform. Pain points around modernizing a legacy data ecosystem and centralizing master data, plus SQL Server, SAS and Access still in use, point to an active analytics consolidation. Hiring is accelerating and clinically weighted, with a Risk Adjustment Director role signaling focus on value-based revenue.
Notable leadership hires: Risk Adjustment Director
Interwell Health is a privately held, Boston-based provider of value-based kidney care with 501–1,000 employees. It serves patients with chronic kidney disease from stage 3 through kidney failure, combining direct patient care with enablement services for nephrologists. The company works with a large partner network of nephrologists and uses machine learning to personalize care. Its care footprint spans all 50 US states and Puerto Rico, and hiring is concentrated in the United States.
Interwell Health uses Epic Systems and EpicCare Ambulatory clinically, plus Databricks, Delta Lake, Unity Catalog, Apache Spark, dbt, Python, Microsoft Fabric, Azure, SQL Server, SAS, Tableau and Power BI for data and analytics.
Yes. Hiring is accelerating and concentrated in healthcare roles, with additional openings in sales, data and operations, and notable director-level demand including a Risk Adjustment Director, all in the United States.
Current initiatives include organizing late-stage CKD patient care, implementing value-based compensation models, CKD education and modality selection, a national network development strategy, regional master data, and generative AI integration.
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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.