The week in health tech, explained in plain English.Get the free newsletter →
September 26, 2026

Takeaways from the most recent news in the technology and policies shaping healthcare.

Health IT

CIOs Cast Doubt on RFK Jr.'s Universal Wearables Goal

HHS Secretary Robert F. Kennedy Jr. said last summer he wanted every American using a wearable health device within four years. A year on, hospital CIOs remain unconvinced, telling Becker's Hospital Review that putting a device on every wrist does nothing on its own. "Adoption alone does not improve health," one CIO summed up.

The core problem is what happens to the data. Wearables generate steady streams of heart rate, sleep, and activity readings, but health systems lack clean ways to fold that information into clinical workflows, act on it, or reimburse the effort. Without integration and a care model behind the numbers, more data becomes noise rather than better outcomes.

The federal follow-through has been narrow. Rather than a mass-adoption campaign, concrete action has arrived through CMS and FDA pilot programs, and Becker's notes there is little sign the four-year target is even being tracked. For CIOs, the gap between an ambitious slogan and operational reality remains wide.

More in Health IT

Health IT

Pointcore Launches Perception to Turn Hospital Data Into Action

Pointcore's Perception platform aggregates hospital operational data and uses AI modeling to help leaders make faster, better-informed operational decisions.

Why it matters: Hospitals sit on vast operational data but rarely turn it into action, and tools that close that gap could reshape how systems manage cost and capacity.

Health IT

Tennr Hires CRO John Capaldi to Scale Sales Push

Patient orchestration platform Tennr hired John Capaldi as CRO and two enterprise sales executives to scale its go-to-market organization.

Why it matters: The hires show a well-funded health-tech startup pivoting to aggressive enterprise sales, a sign of maturing competition in referral and intake automation.

Health IT

AI Turns Messy Clinical Data Into Research-Ready Variables

AI and natural language processing are being deployed to convert fragmented, unstructured clinical data into structured, research-ready variables, easing a core bottleneck in clinical research.

Why it matters: Faster, cleaner data extraction can shorten trial timelines and unlock real-world evidence from records healthcare organizations already hold.