ChatGPT to Chart Review: AI use cases in the mid-revenue cycle and beyond

AI feels like a bubble. A bubble that keeps expanding until it fills the entire room—including the Off the Record podcast studio.

I remain bullish about some aspects of this game-changing technology and intensely skeptical of others. Which makes it a fascinating topic. Worthy of a fascinating guest, who not only has opinions but has real-world applications for the tech you might not have thought of.

Sharon Easterling has a towering, all-consuming passion for AI, specifically bridging the gap between technology and the mid-revenue cycle and navigating a technological future that can seem overwhelming. But she also leans into its creativity. She even sent me a new OTR podcast jingle created with AI! You can hear it on this episode.

Listen in as we discuss:

• Who is Sharon Easterling, “Fractional AI Governance and Enablement Executive | AI and Digital Transformation Leader”?

• Are we lost in the wild west of AI? Coders are using ChatGPT to code and pass certification exams, and employers screening employees with AI bots.

• How much has AI actually penetrated the mid-revenue cycle, use-wise? Can ChatGPT code? Will AI applications replace people?

• Where AI ais ctually making a tangible difference in the mid-revenue cycle: Denials management, surfacing diagnostic indicators, writing appeals letters, and more

• Some out-of-the-box suggestions of using AI in your daily workflow: From monitoring coding productivity to sending daily education to your inbox.

• How Sharon thinks people should view AI more broadly.

Referenced on the show: Sharon’s article “The Medical Record: How Artificial Intelligence (AI) Impacts Coding”: https://icd10monitor.medlearn.com/the-medical-record-how-artificial-intelligence-aiimpacts-coding/