EXPERT Q+A: Using AI to boost back-office automation 300%

Alice McNair, VP, Client Success Waystar

Richard Nagengast, VP, Revenue Cycle Mount Sinai Health System

Edward Peterson, Executive Director of IT Mount Sinai Health System

As a revenue cycle leader, how do you reduce friction, increase efficiency, and speed up cash flow? Mount Sinai Health System did it all — and they’re sharing exactly how.

Watch Mount Sinai’s VP of Revenue Cycle and Executive Director of IT explore how the health system used advanced automation and AI to achieve a:

• 300% increase in back-office automation
• 39% reduction in claim adjudication time

Experts also discussed the success of AI in the industry at large, including research showing how real-world organizations are achieving a 27% improvement in denial prevention and a 36% boost in workforce efficiency.

Finally, they explored specific ways IT and RCM teams can work together to drive results, including:

• Integrating AI into existing workflows to reduce errors and denials while increasing payments
• Scaling current generative AI initiatives to tackle more advanced RCM tasks, such as prior authorizations, coding, and denials
• Applying a practical framework to the evaluation and expansion of AI initiatives