
A healthcare AI system can do exactly what it was built to do and still leave a care team with more work. Flagging a change between appointments may help a patient receive care sooner, but it also creates a review task for someone already caring for other patients.

In June, the U.S. Department of Health and Human Services announced that more than one billion health records had been exchanged through TEFCA, the national interoperability network. The volume grew from 10 million to more than one billion in less than a year. Healthcare is developing the infrastructure required to exchange information across the system at a scale we have not seen before.

The next battle in enterprise AI is who owns the map of how work moves through the company.
In April, the Linux Foundation announced that the A2A Protocol, an open standard for AI agents to talk to each other across platforms, had passed 150 organizations and was already seeing production use in its first year. That tells me something important about where the enterprise AI market is going.