Lessons learned from Carle Health’s approach to scaling AI-driven automation across front-end revenue cycle operations.
Healthcare organizations are increasingly turning to AI to automate prior authorization, referrals, scheduling, and other patient access workflows. Yet Carle Health’s experience showed that successful AI adoption depends on more than implementing technology.
As Jessica Godbey led the implementation of AI-driven automation with Janus Health at Carle Health, she found that standardized workflows, reliable data, workforce engagement, and thoughtful implementation planning were just as critical as the automation itself. Those lessons helped build a stronger operational foundation for sustainable AI adoption across front-end revenue cycle operations.
Whether you’re evaluating AI or expanding existing automation initiatives, these lessons can help you build a stronger foundation for long-term success.
Executive Summary
This e-book explores how Jessica Godbey and the team at Carle Health approached AI adoption across front-end revenue cycle operations, highlighting the strategies that helped build a strong operational foundation and support long-term success.
Carle Health’s approach helped achieve:
- Authorization completion up to 30 days before scheduled service
- Less than a 0.5% no-authorization denial rate
Download the e-book to learn how Carle Health approached AI implementation and discover practical strategies your organization can apply when planning or expanding AI initiatives.
Related reading: Rethinking Prior Authorization: From Administrative Burden to Strategic Control