Practical approaches for applying AI in your revenue cycle

As financial pressures and administrative burdens continue to mount across the healthcare industry, organizations are turning to AI to modernize their revenue cycles. In fact, nearly half of hospitals and health systems now use AI in their RCM operations. 

In this webinar, Dayne Hoffman, Revenue Cycle Solutions Lead at Notable, and Ryan Pfeffer, Head of Engineering at Notable, put revenue cycle automation into action to answer the questions many healthcare leaders have about the process, including: How can I edit my automated workflows quickly and efficiently? I’ve successfully automated one workflow – now what? How can I ensure my leadership team and staff understand the value of AI?

Hoffman and Pfeffer demystify, troubleshoot, and iterate with AI to make it work for highly complex revenue cycle use cases, showing every step along the way. 

You’ll learn: 

• How to feed your automated workflow the right amount of data to make it successful
• Why it’s important to work with subflows to make edits quickly and efficiently
• How to design, test, troubleshoot, and scale authorization workflows 
• Why change management is one of the biggest bottlenecks in AI adoption — and how you can tee up your organization to understand the value quickly

As Pfeffer notes, “Managing the complexity to get the right context in place is very achievable now if you’re making the right design decisions.” Whether you're just beginning to consider automation or already deep into transformation efforts, this webinar offers actionable insights for making the right design decisions and supercharging your revenue cycle automation.