AI That Frees Up Clinicians, Cuts Costs, and Tells the Full Story

HITshow with Greg Miller, VP of Marketing & Business Development, Carta Healthcare 📊 Health systems across the US spend $10–15 billion every year on manual clinical data abstraction — and most executives don’t even realize this because it’s buried in individual service lines, hidden in personnel cost.

Carta Healthcare saw the absurdity of that back in 2017. And today, they’re using AI to fix it. In this HITshow episode, Greg Miller explains how AI, with a human in the loop, can solve one of healthcare’s most invisible, yet most expensive problems: abstracting data for clinical registries.

“What we’re seeing is health systems are reducing their costs by 50% or more… and cutting the time it takes to answer registry questions by two-thirds.” “This isn’t just about saving time and money — it’s about giving clinicians back hours to care for patients.” And now health systems are seeing real results: “Costs down by 50%.”

“Time to complete abstraction down by two-thirds.” “Clinicians spending more time on care — not documentation.” 👀 If you’re trying to tackle workforce shortages, clinician burnout and quality gaps — this is a conversation worth watching.