Key points:
- Mercy is a founding member of a national diagnostic AI consortium formed with Aidoc.
- The 12 member group is focused on tackling diagnostic delays and workforce challenges, while improving patient care.
- Mercy will help shape best practices for AI governance and implementation.
ST. LOUIS – Mercy is one of 12 U.S. health systems to form the Diagnostic AI Consortium with Aidoc, to harness diagnostic AI to improve the safety, quality and speed of diagnosis and continue the evidence and governance lessons they build to the broader effort already underway across medicine.
Collectively caring for more than 20 million patients annually the initial member organizations include Advocate Health, Cedars-Sinai Health System, Hartford Healthcare, Houston Methodist, Mercy, Mount Sinai Health System, Northwell Health, Northwestern Medicine, Sutter Health, University of Florida Health, University Hospitals of Cleveland, and WellSpan Health.
“Mercy’s responsibility is to make sure our patients receive timely, accurate answers,” said Dr. John Mohart, Mercy executive vice president and chief operating officer.
Mercy began a phased rollout of Aidoc in January 2025 and continues to expand its offerings. An advanced AI technology called Aidoc (pronounced A-doc) helps caregivers improve patient outcomes by prioritizing the most serious findings, improving diagnostic detection, starting treatments faster and leaving no stone unturned when analyzing CT scans, X-rays and more.
The Consortium will:
- Co-design future AI-enabled diagnostic workflows intended to prioritize the right cases, accelerate interpretation, and deliver critical results sooner to improve patient flow in real-world clinical settings.
- Measure their impact on safety, quality and speed to diagnosis across member sites.
- Turn what works into shared implementation and governance practices any health system can adopt, inside the Consortium or beyond it.
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