News
Article
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.
Raffaello d’Amore, head of product, Magical
In a Monday morning session at the MGMA Leaders Conference in Orlando, Raffaello d’Amore, head of product at Magical, and Vanessa Moldovan, CRCR, CPB, CPC, CPPM, CPMA, CPC-I, head of RCM strategy at Magical, presented on how agentic artificial intelligence (AI) differs from traditional robotic process automation (RPA) and where it is already being deployed in revenue cycle management (RCM).
Vanessa Moldovan, CRCR, CPB, CPC, CPPM, CPMA, CPC-I, head of RCM strategy, Magical
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.
Newsletter
Stay informed and empowered with Medical Economics enewsletter, delivering expert insights, financial strategies, practice management tips and technology trends — tailored for today’s physicians.
