Fewer No-Shows and More Exams Booked Each Day
Adam Dagan on how an all-in-one engagement platform, plus multilingual Voice AI, cuts no-shows and frees staff for patient care.
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What you’ll learn in this episode
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The Challenge: Fading Engagement and Chaos at the Front Desk
As Adam Dagan explains, the first signs of failing patient engagement are unused capacity, chaos at the front desk, and high rates of no-shows, cancellations, and same-day reschedules, what he calls disrupted appointments.
Centers often track waitlisted patients on binders and sticky notes, and bolt on separate systems for forms and reminders that do not talk to each other.
Piecing together point solutions creates bottlenecks downstream: a change in one system has to be repeated in every other, and disconnected tools lose the context needed to schedule correctly.
The Solution: One Integrated Engagement Ecosystem
In this episode of Keeping Up With AbbaDox, VP of Sales Adam Dagan joins host Pierre-Antoine Tricen to show how one platform powers SMS, automated calls, and Voice AI across the whole patient journey.
Because it is all-in-one, a change is made once and reflected everywhere, whether the patient is scheduled by a call center, an AI agent, or the referring portal, and the AI carries the full context a human agent would have.
the more work that they do, the more likely that they will show up to their appointment because they’ve already started committing to it.
VP of Sales at AbbaDox.
“When I mentioned chaos at the front desk, you see long lines of patients waiting to speak to an agent.”
The point is not replacing the front desk; it is taking the repetitive calls off it. Automated waitlists refill canceled slots, reminders and prep go out without anyone dialing, and Voice AI handles routine calls in English or Spanish, warm-handing off to a person with context when a call needs one. Across three live AbbaDox customers, 19.9% on average; the largest, Radiology Imaging Associates, down 23.5%.
How AbbaDox Approaches Patient Engagement
The platform combines automation with AI that understands context.
