AI Imaging Platform Cuts Critical Diagnosis Time by 92% Across 50-Hospital System

A newly released white paper from Mercy Health System and Aidoc documents dramatic improvements in diagnostic speed and patient outcomes following the deployment of AI-powered imaging analysis across more than 50 hospitals. The five-month study revealed that urgent case turnaround time plummeted from 19.8 hours to just 1.3 hours—a 92% reduction—while the system flagged 50,749 incidental findings and expedited clinical attention for 5,642 patients.

The deployment, which launched in January 2025 and scaled across Mercy's network in just four months, represents one of the largest enterprise implementations of diagnostic AI in U.S. healthcare. The aiOS™ platform now analyzes approximately 2.5 million patient cases annually across 13 different AI imaging solutions, scanning CT images, x-rays, and other modalities for conditions including blood clots, brain bleeds, aneurysms, fractures, and pulmonary embolisms.

Addressing Radiologist Shortages with AI at Scale

Mercy's deployment comes as health systems nationwide grapple with a 12-15% annual increase in imaging volumes amid persistent radiologist shortages. The system operates 55 acute care and specialty hospitals across five states, employing more than 5,000 physicians and 50,000 caregivers who collectively face mounting diagnostic workloads.

The white paper, independently reviewed by AVIA—a digital transformation partner for 80 U.S. health systems—highlights how AI augmentation can catch potentially serious conditions that might otherwise be missed or delayed in traditional radiology workflows. One case study detailed in the release involved a pulmonary embolism detected incidentally during imaging ordered for an unrelated condition, illustrating how the AI flags life-threatening findings beyond the original clinical indication.

Platform Approach Enables Rapid Multi-Solution Rollout

Aidoc's aiOS™ operating system, powered by the company's CARE™ foundation model, enabled Mercy to deploy 13 FDA-cleared imaging solutions across its hospital network in four months. This platform approach contrasts with point-solution AI vendors that typically require separate implementations for each clinical use case.

The 11% actionable finding rate—5,642 patients receiving accelerated attention from 50,749 AI-flagged findings—suggests the system is identifying clinically significant abnormalities that warrant expedited review without overwhelming radiologists with false positives. Mercy is now pursuing Joint Commission certification for responsible AI governance as it continues to expand its AI capabilities.

Aidoc operates in nearly 2,000 hospitals worldwide and has analyzed more than 150 million patient cases, supporting approximately 60 million patients annually. The Mercy deployment adds real-world evidence to the growing body of literature on enterprise-scale clinical AI implementation, demonstrating that dramatic efficiency gains are achievable when AI augmentation is deployed systematically across large health systems.

Sources

1. Mercy and Aidoc Reveal Faster Diagnoses and Earlier Treatment for Thousands of Patients — Mercy Health System