R1 RCM operates a data-intensive revenue cycle platform serving 1,000+ providers, including 95 of the top 100 U.S. health systems, processing over 270 million payer transactions annually. The stack—Snowflake, SQL Server, Azure Data Factory, Epic, Cerner, Meditech, plus Python and Power BI—reflects a mature data warehouse and analytics backbone built to handle healthcare's compliance and scale requirements. Current hiring is heavily tilted toward healthcare operations (107 roles) and support (99 roles), with engineering and data roles under 10%, signaling a services-and-operations-led model rather than a product-engineering pivot.
Notable leadership hires: Director Quality Training, Patient Registration Lead
R1 RCM is a revenue cycle management platform for hospital systems and large provider networks. The product integrates automation, AI, and human expertise across billing, claims management, patient registration, and payer workflows. The company operates at significant scale—processing 270+ million payer transactions annually and managing revenue cycle operations for some of the largest U.S. health systems. R1 partners with customers on both platform deployment and managed services, supported by a workforce of 10,000+ employees primarily distributed across the United States, India, and Philippines. Active projects include a centralized data warehouse, backend service reengineering, net revenue modeling, and workflow optimization for patient registration and bed utilization.
R1 uses Snowflake, SQL Server, Azure Data Factory, Power BI, Python, and Pandas for data and analytics. Epic, Cerner, and Meditech integrations handle clinical and billing workflows. Salesforce, ServiceNow, and Jira Service Management support customer-facing operations.
R1 RCM is headquartered in Chicago, Illinois. The company employs 10,000+ people across the United States, India, and Philippines.
R1 RCM'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.