Mercy Joins 12-System Diagnostic AI Consortium With Aidoc

Major health systems unite on diagnostic AI standards

Twelve of America's largest health systems have formed a national Diagnostic AI Consortium with medical AI company Aidoc, creating a collaborative framework to address diagnostic delays and establish shared governance practices for artificial intelligence in clinical settings.

Mercy, one of the nation's 15 largest health systems, joins Advocate Health, Cedars-Sinai, Hartford Healthcare, Houston Methodist, Mount Sinai, Northwell Health, Northwestern Medicine, Sutter Health, University of Florida Health, University Hospitals of Cleveland, and WellSpan Health in the founding group. Together, these organizations care for more than 20 million patients annually.

Why it matters

While individual health systems have deployed diagnostic AI tools, the lack of standardized implementation and governance frameworks has created inconsistent adoption patterns across the industry. This consortium represents the first coordinated effort to translate localized AI successes into replicable best practices that any health system can adopt, potentially accelerating the technology's impact on patient outcomes at scale.

Focus on workflow integration and measurable outcomes

The consortium will co-design AI-enabled diagnostic workflows designed to prioritize critical cases, accelerate interpretation of medical imaging, and deliver results faster in real-world clinical environments. Member organizations will measure impact across three core metrics: safety, quality, and speed to diagnosis.

Mercy began rolling out Aidoc technology in January 2025 and continues expanding its use across the system. The AI platform analyzes CT scans, X-rays, and other medical imaging to help clinicians identify serious findings, improve diagnostic detection, and initiate treatment more quickly.

"Mercy's responsibility is to make sure our patients receive timely, accurate answers," said Dr. John Mohart, Mercy's executive vice president and chief operating officer.

Building transferable governance models

A key objective of the consortium extends beyond the member organizations themselves. The group aims to convert successful implementations into shared governance and deployment practices that any health system can adopt, whether inside the consortium or beyond it.

This approach addresses a persistent challenge in healthcare AI adoption: the gap between pilot programs at well-resourced academic medical centers and practical implementation across diverse care settings. By documenting what works across 12 different organizational contexts, the consortium seeks to create a roadmap for broader industry adoption.

Mercy operates 55 acute care and specialty hospitals across Arkansas, Illinois, Kansas, Missouri, and Oklahoma, along with more than 1,000 physician practice locations. The system serves millions of patients annually and manages one of the nation's largest Accountable Care Organizations. In fiscal year 2025, Mercy provided over $500 million in free care and community benefits.

The consortium details were first reported by Mercy.