
How agentic AI is rewriting the RCM playbook
Key Takeaways
- Agentic AI provides faster implementation, greater flexibility, and learning capabilities compared to traditional RPA in revenue cycle management.
- Many medical groups struggle with rising claim denials, higher operating costs, and low automation levels.
At the MGMA Leaders Conference 2025 in Orlando, speakers outlined how “agentic AI” — adaptive, goal-driven automation — could transform revenue cycle workflows, from prior authorizations to collections, while cautioning practices to separate real solutions from hype.
In a Monday morning session at the
They emphasized that many medical groups are still struggling with rising claim denials, higher operating costs and low levels of automation. Agentic AI, they argued, offers faster implementation, greater flexibility and learning capabilities that traditional RPA cannot match.
The presenters also urged attendees to vet vendors carefully, noting that only a fraction of companies marketing “agentic AI” solutions are truly capable of delivering reliable, secure and compliant systems.
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