Revenue cycle management has set its sights on agentic AI to solve major pain points, but there are some implementation considerations before the tech can deliver on its promises.
The hype is building around agentic AI for revenue cycle management. Technology vendors and provider partners are quickly building a portfolio of use cases But, as it goes in healthcare, implementing new technologies takes time, patience and a lot of due diligence.
“Healthcare itself is a double-sided coin,” explained Mark Sithi, senior vice president of product at R1 RCM. “We want to have groundbreaking technology, especially to better serve the patient, but at the same time, there’s also healthy skepticism around the use of AI because it’s a highly regulated industry and, by nature, we try to be minimally invasive to patients undergoing care.”
So, how do healthcare organizations overcome implementation hurdles to make agentic AI a revenue cycle reality and realize the benefits the technology can bring? Vendors and providers must build trust in the technology, demystify misconceptions and address data challenges.
