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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.

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.

Virtual pediatric care company Clarity Pediatrics garners $14.5 million to expand into obesity care.

The proposed rule aims to reduce burdens and costs on health IT developers. It also includes measures to promote FHIR-based interoperability, strengthen information blocking rules and simplify certification of AI models.

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

With further adoption of GS1 standards, RFID tags will support greater interoperability, efficiency and safety for each single dose of medication.