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October 24, 2026

Takeaways from the most recent news in the technology and policies shaping healthcare.

Health IT

Rad AI Expands Radiology AI Deal With Yale New Haven

California-based Rad AI is broadening its relationship with Yale New Haven Health System (YNHHS), extending the deployment of its generative AI radiology reporting technology across the Connecticut system's imaging network, MobiHealthNews reported exclusively.

The expansion matters because of who is doing it. "Yale was our first big academic site," Dr. Elizabeth Bergey, a radiologist and chief clinical officer at Rad AI, told MobiHealthNews. Academic medical centers tend to vet new technology rigorously, so a deeper commitment from a flagship system signals confidence in tools that automate the drafting and documentation of imaging reports.

Rad AI's software aims to reduce the repetitive dictation work that drives radiologist burnout and slows turnaround. The move fits a broader industry shift: radiology has become one of the fastest-adopting specialties for generative AI, as health systems look to ease workforce strain and speed reporting without adding headcount. The expansion turns an early pilot relationship into a system-wide bet.

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Health IT

Epic Opens Its Platform Wider to AI and Outside Developers

Epic used its Open@Epic developer conference to open its platform wider to outside AI and apps while reminding developers that the resulting traffic runs on hospitals' infrastructure.

Why it matters: As the dominant EHR vendor, Epic's decision to open its platform shapes how and where clinical AI gets deployed across most U.S. hospitals.

Health IT

After AI Go-Live, Who Owns Monitoring? Often No One

Health systems scrutinize AI before go-live, but post-deployment monitoring responsibilities often remain undefined, leaving no clear owner when models drift.

Why it matters: Unmonitored AI models can quietly degrade in clinical settings, putting patient safety at risk when no one is accountable for watching performance after launch.