What's Really Happening in Exam Room 3? Using AI to Find the Revenue, Efficiency, and Trust You're Already Leaving Behind

Every appointment in your practice is a conversation, and until recently nearly all of it vanished the moment the room emptied. Now AI scribes capture it. Hidden inside those conversations is a complete record of what was recommended, what was declined, and what questions went unanswered across every exam room and every location. But that data is only as good as your ability to analyze and act on it.

This session shows practice managers how to turn visit documentation into decisions. We'll cover using AI to automatically find missed charges and declined recommendations, track dental and wellness plan acceptance by doctor, build follow-up lists of clients who should have been offered a service, and understand why clients say no. We'll then share what aggregated data from clinics nationwide revealed about cost transparency, and close with a practical framework for deploying AI safely and with your team's trust intact.

• Identify the four categories of value most commonly lost inside exam room conversations (unbilled services, declined recommendations, unanswered client questions, and cost-driven attrition) and estimate what each is worth in your own practice.
• Interpret recommendation and acceptance rate data for dental, wellness plans, and payment options to spot gaps by doctor, location, and visit type, and build targeted client follow-up lists from it.
• Compare your practice's cost transparency against national trends drawn from aggregated visit data across thousands of U.S. clinics.
• Apply a framework for rolling out AI tools responsibly, covering client consent and disclosure, data privacy, team communication, and using doctor scorecards for coaching rather than surveillance.