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/