Proving ROI in Radiology AI: How LucidHealth Achieved an 11% Productivity Increase
Radiology and healthcare leaders are under growing pressure to separate AI promise from performance. Many solutions sound compelling in demos, but far fewer deliver measurable results once they’re embedded into day-to-day clinical workflows.
LucidHealth’s experience offers a clear example of what real-world impact can look like.
LucidHealth, one of the nation’s leading multi-state radiology groups, achieved an 11% increase in RVU productivity per shift in less than a month following a strong initial deployment of Rad AI Impressions with Radiology Associates of the Fox Valley (RAFV). This double-digit gain was achieved without adding clicks, changing workflows, or asking radiologists to work harder.
An 11% productivity boost isn’t just a nice headline. It translates into meaningful operational impact: more studies read per shift, faster report turnaround times, and less cognitive strain on already stretched radiologists.
For LucidHealth, that productivity gain was paired with a 6% reduction in CT report turnaround time, with some radiologists seeing reductions as high as 40%. By removing repetitive cognitive work from every report, radiologists can spend more time focused on interpretation and clinical decision-making. That’s where the productivity gains compound.
As LucidHealth CIO Tom Hasley put it, the automation “significantly reduced the time radiologists spend on repetitive tasks, allowing them to focus more on interpreting images and delivering better patient outcomes.”
How Rad AI Drives Measurable Productivity Gains
Rad AI Impressions automatically drafts report impressions with follow-up recommendations based on the radiologist’s dictated findings and clinical indications. It adapts to each radiologist’s style by learning from prior reports, producing impressions that feel personalized and immediately usable.
There are no extra windows, hotkeys, or workflow disruptions. The impression is there, ready when the radiologist finishes dictating.
If you’re evaluating AI through the lens of real productivity gains, improving the radiologist experience, and operational ROI, LucidHealth’s full case study offers a closer look at how those outcomes were achieved.
Learn more about LucidHealth’s outcomes here.
Want to learn more about Rad AI Impressions? Find a time to chat here.
