ARA Health Specialists achieves 20% reduction in radiology reporting time with Rad AI Reporting

ARA Health Specialists, a multispecialty radiology group with 70+ physicians serving 13 hospitals and 30+ outpatient centers interpreting nearly 100,000 studies per month, was running on legacy reporting workflows (Microsoft PowerScribe 360) that could not keep pace with the volume and complexity of modern radiology. Small inefficiencies in reporting workflows at this scale accumulated quickly, increasing cognitive load and reducing radiologist satisfaction.

ARA Health transitioned from Microsoft PowerScribe 360 to Rad AI Reporting, a modern AI-powered radiology reporting platform designed to reduce workflow friction. The solution was deployed site-wide across the group's multiple locations and modalities including CR/DR, CT, MR, NM, and PET.

After adopting Rad AI Reporting, ARA Health observed a 20% median reduction in reporting time site-wide, saving approximately 20 seconds per study. 79% of radiologists demonstrated improved efficiency, and top decile radiologists achieved ~60% faster reporting, saving more than one minute per report. Efficiency improvements were seen across 61 of the top 100 highest-volume procedures, with the cumulative gains representing the equivalent capacity of nearly six additional radiologists.

• At high-volume radiology practices, even modest per-study time savings (20 seconds) compound into significant capacity gains equivalent to multiple FTEs.
• AI-driven workflow improvements must address cognitive load and friction, not just dictation speed, to achieve broad radiologist adoption (79% improvement rate).
• Top-performing radiologists can see disproportionate gains (~60% faster) when friction is removed, suggesting AI amplifies existing efficiency rather than providing uniform uplift.