This Week Health

Healthcare is at an inflection point. AI has moved from experimental to essential, with peer-reviewed research demonstrating measurable impact on clinical outcomes, operational efficiency, and clinician burnout. Health systems are racing to deploy AI enterprise-wide, driven by proven ROI, competitive pressure, and clinician demand for better tools.

But here's the challenge: In 2026, AI governance is evolving from backroom checkbox to strategic engine. Safe, effective, and rapid AI implementation depends on strong, clear governance. Yet most health systems are deploying without the infrastructure to ensure safety, accountability, and effectiveness.

The reality:

This external environment isn't just creating compliance headaches. It's forcing a fundamental rethinking of how health systems allocate resources to AI governance. 2026 is shaping up to be the year governance moves from afterthought to competitive differentiator.

Without strong governance, AI deployments risk becoming siloed pilots that never scale, create liability exposure, or worse: compromise patient safety.

Abridge-Webinar-Panelists

Learn from Leaders Who've Solved the Governance Challenge

In this webinar, you'll hear directly from CMIOs at Jefferson Health and Geisinger. These are two health systems that have successfully implemented enterprise-wide AI governance frameworks enabling rapid, safe deployment at scale.

This isn't theoretical. These leaders have done the hard work of:

Don't Miss This Opportunity

Join healthcare leaders from across the country on February 19th at 12:00 PM ET to learn how Jefferson Health and Geisinger have built AI governance frameworks that drive, rather than delay, innovation.

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