R1RCM
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R1RCM has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Key partners include Automation Anywhere.
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Hyperscaler mix
See whether R1RCM's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How R1RCM builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at R1RCM
Healthcare workflow automation leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Technology snapshot
What R1RCM uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 5 named technologies are mentioned, led by Azure AI.
Capability mix
All Use Cases (2)
R1RCM and Eletrobras Accelerate Complex Business Automation Across Key Functions
Automation Anywhere expanded its collaboration with Microsoft by integrating Microsoft Azure OpenAI Service into its Enterprise System, allowing enterprises like R1RCM and Eletrobr...
R1RCM improves healthcare revenue cycle management with AI coding automation
R1RCM, a leading provider of technology-driven solutions for healthcare providers across the US, expanded its collaboration with Microsoft to accelerate the integration of generative AI into its revenue cycle management platform. Using Microsoft Azure OpenAI Service and Azure AI Studio, R1RCM developed and deployed a large language model (LLM)-powered application for physician coding quality assurance. This application evaluates unstructured medical records to predict evaluation and management codes, greatly improving coding quality across patient charts. The LLM application was delivered in under four months and is already increasing productivity for healthcare revenue cycle teams. Looking forward, R1RCM plans to expand the use of generative AI to automate processes such as call centers, payer follow-up, scheduling, and accounts receivable. With a customer base comprising 95 of the largest 100 health systems in the US, R1RCM leverages insights from over 500 million medical records, supporting $900 billion in total net patient revenue. The project aims to drive cost reductions, enhance financial performance, and deliver a better experience for both healthcare providers and patients.
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