Artificial Intelligence

And that was just in the first six months. By catching needed radiology follow-ups and ensuring patients receive recommended follow-up care, the Virginia health system helps prevent more advanced disease and supports value-based care initiatives, one exec says.

New agentic tools, medication management advances, medical device guidance and the "great tech reckoning" were among just some of the hundreds of artificial intelligence and machine learning stories we published this past year.

Rural hospitals are overcoming fears of artificial intelligence and adopting tools that integrate with electronic health records on their own terms – whether that's all at once or by cultivating buy-in slowly and deliberately.

The government will also fund hospital-based verification programs so AI tools can be tested and validated at scale before clinical rollout.

Also, Yonsei University has received $4 million in state funding to develop AI for automating nursing workflows.

The practice reduced inefficiencies and eliminated dependence on costly third-party call services. Further, the tech reclaimed 20,000 staff hours in those two months – time now used for direct patient support.

Todd Van Meter, CEO of Accuity, explains that initial denial rates are cut in half after partnering with clients and how the appeals process can reduce the final denial rate to between 1% and 1.5%.

Executives weigh in on current valuations and hype around AI in the healthcare sector and what it could mean for the future.

In 2026, healthcare will embrace the model context protocol, deploy better documentation tools that boost reimbursement and patient outcomes, and adopt smaller, domain-specific AI models, one CEO says.