R1 Cuts Preventable Denials 70% With AI Agents Reading Payer Data

R1 Cuts Preventable Denials 70% With AI Agents Reading Payer Data

The Common Question

Can AI reduce claim denials and improve revenue cycle performance for health systems?

The Lesson in This Case

R1 achieved a 70% reduction in preventable denials by deploying AI agents that analyze historical claims data, real-time payer signals, and operational context to catch denial risk before billing. The gains came from synthesizing payer-provider interaction data at scale and embedding domain expertise from R1's AI innovation lab, R37, directly into workflow automation tools. Health system finance leaders should treat denial pattern data as a strategic input to leadership decisions, managed at the front end of the revenue cycle where prevention is still possible.

Originally reported by Healthcare Dive. Read the full story here.