Health Groups Report 93.2% AI Use in Operations

CHIME's 2026 Digital Health Most Wired report finds generative AI adoption nearly doubled in a single year across surveyed facilities.

Updated on Nov. 14, 2026 in Artificial Intelligence

Health Groups Report 93.2% AI Use in Operations

Live Poll

Do you trust AI being used in healthcare for patient care?

The College of Healthcare Information Management Executives (CHIME) released its 2026 Digital Health Most Wired National Trends Report on November 13, 2026. The report found that 93.2% of participating organizations use AI in clinical or operational processes.

Why it matters

Fully adopted generative AI rose from 31.0% to 54.8% in one year, showing how quickly the technology is moving into day-to-day care and administration. The report also highlights governance and cyber resilience as priority areas for health organizations.

The 2026 CHIME Digital Health Most Wired survey drew from over 48,800 healthcare facilities across 46 U.S. states and five countries. Only 16.4% of AI users have fully documented processes for monitoring models after deployment, leaving the oversight gap unresolved.

The players

College of Healthcare Information Management Executives (CHIME)

CHIME is a professional association of healthcare chief information and technology executives that produces the annual Digital Health Most Wired benchmarking research.

The details

The findings come from the 2026 CHIME Digital Health Most Wired survey, powered by Digital Health Analytics. The report highlights priority areas including AI governance, cyber resilience, clinical technology integration, trusted analytics, disaster preparedness, and recovery readiness.

2026: Survey data collected and the report compiled.
November 13, 2026: CHIME released the 2026 Digital Health Most Wired National Trends Report from Ann Arbor, Michigan.

Tech Landscape

The 2026 report continues CHIME's annual Digital Health Most Wired benchmarking series, which tracks technology adoption across hospitals and health systems year over year. Its findings show generative AI moving from experimentation into routine clinical and operational use faster than the earlier survey cycles captured.

For clinicians and administrators, the rapid rise in AI use means workflow tools are becoming routine, making governance and post-deployment monitoring practical concerns for daily operations. Patients may notice these changes indirectly through how their care is scheduled, documented, and supported.

The takeaway

Health organizations adopting AI should track not only how many tools they deploy but whether they can monitor those models after launch. The gap between widespread use and documented oversight is the main area to watch.