Bill Siwicki

The network covers patients within an area ranging 53,000 square miles. Access to essential mental and behavioral health services has skyrocketed, with patients getting care in hours not weeks, two telehealth leaders report.

Since artificial intelligence took over reminder calls, the mobile medical practice has given more than two FTE back to its medical assistant team. And a proactive scheduling agent has helped boost the number of visits per day.

Artificial intelligence does not replace coder judgment – it instead acts as a consistent second set of eyes, flagging areas that may warrant attention and providing supporting evidence, says the CFO of the health system's human-in-the-loop process.

John McDaniel, CIO of North Dakota's Trinity Health, is in the midst of a switchover with a go-live scheduled for October. He offers advice straight from the trenches that can help other health IT leaders with this epic – and Epic – task.

It's the gold standard for analytics today, says Dr. Ryan Bosch of Acentra Health and a health system veteran – a proven model of care and data that can drive technical, clinical and business success.

At HIMSS26, a clinical informatics leader from the University of Maryland Medical System will describe how the organization's EHR-linked, rule-based technology helps ensure clinical notes get to the providers who need to see them.

By pairing medication therapy with consistent, telemedicine-enabled clinical oversight and care management support, the health system's program tackles the behavioral and lifestyle components necessary for success.

More focused collaboration among stakeholders can help bolster community health, says Kirk Mathews of the Missouri Medicaid Transformation Office ahead of his presentation at HIMSS26.

In a preview of her HIMSS26 session, Dr. Kari Yacisin also explains how health systems must assess their readiness for new AI tools and advocate for responsible, ethical adoption that supports healthcare's focus on humanity.

The public-private effort offers practical examples, common language and reusable tools Medicaid organizations can adapt for their own needs. It's all meant to help states move from uncertainty to confidence with AI.