Revenue Cycle Managers are deploying AI across their departments, using the technology to improve efficiency and reduce the data-crunching burden on their staff. Here’s where they’re finding the most bang for their buck.
Revenue cycle leaders are using AI in a number of places, from interactions with payers and patients to back-end data managing to improve prior authorizations and anticipate and reduce denials and underpayments.
In this week’s The Winning Edge webinar, sponsored by FinThrive, Stephen Rinaldi, SVP and Chief Revenue Officer at UNC Health, and John Landy, FinThrive’s Chief Technology Officer, highlighted the five key areas where AI is making a difference in RCM.
‘You gain speed, reduce errors, [and] drive some efficiency, enabling you to shift the people that you do have to higher level tasks,” says Rinaldi.
Both expect RCM executives to embrace AI even more in the future, using it to improve patient-facing and financial assessment services and create tools that marry revenue cycle outcomes and clinical care. For example, imaging a coding tool that not only captures the conversation between doctor or nurse and patient, but identifies coding opportunities and develops a projected care plan that also improves reimbursement.
Check out where AI is making the most impact in RCM:
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Eric Wicklund is the Associate Content Manager and Senior Editor for Innovation and Technology at HealthLeaders.