Meet us at RBMA SYNC 25 in New Orleans | Oct 5-7 | Learn more
Meet us at RBMA SYNC 25 | Learn more
Unlike outdated CAC tools, next-gen AI now fully codes radiology reports with zero human touch, slashing turnaround time and boosting accuracy. Discover how transformer models, machine learning, and deep learning are redefining what’s possible — and why every radiology leader should be paying attention.
Click to read how autonomous coding is setting a new standard in healthcare.
At Maverick Medical AI, we believe healthcare providers should spend more time focusing on patients—not paperwork. That’s why we built an autonomous medical coding platform that’s changing the game for imaging centers and hospitals alike. But don’t just take our word for it—here’s what happened when one nationally recognized imaging network partnered with Maverick.
This multi-state imaging network operates across 60+ sites, processing over 1.2 million studies annually. Like many healthcare organizations, they were facing rising costs, inconsistent coding accuracy, and a growing backlog that made it harder to scale.
Once they implemented Maverick’s autonomous coding solution, the transformation was immediate:
– 87% Direct-to-Bill Rate – Nearly 9 out of 10 cases were coded entirely without human intervention—cutting coding time down to just seconds.
– 60% Cost Savings – With automation taking the lead, they were able to redeploy 6 of their 7 coders to higher-value tasks.
– 95% Coding Accuracy – By reducing errors, they slashed denial rates to just 3%, ensuring reliable and predictable reimbursement.
– Zero Backlogs – Coding lag time for direct-to-bill cases dropped to under 2 minutes, giving the team the scalability they needed to grow without operational strain.
Whether you’re a high-volume imaging center or a hospital navigating complex billing workflows, Maverick’s AI-powered platform integrates effortlessly with systems like Imagine, enabling:
– Real-time autonomous coding
– Customizable workflows
– Expert implementation support
All designed to help your team code faster, smarter, and with greater confidence.
Download the full case study here.
