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September 26, 2026

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

Health IT

Mount Sinai, Denver Health Join AI Trust Coalition PACT

By Healthcare Technology News ·

Two major health systems are backing a new effort to prove that healthcare AI works as promised. Mount Sinai Health System in New York City and Denver Health have joined PACT AI, according to Becker's Hospital Review.

PACT, short for the Partnership for Assurance, Credibility and Trust on AI, is a coalition that brings together enterprise AI deployers, technical assurance providers, and civil society groups. Its goal is to develop shared, independent verification standards for AI across healthcare and other industries. The idea is straightforward: rather than trusting vendor claims, buyers get standardized ways to test and confirm that AI tools perform safely and reliably.

The move reflects a broader push among hospitals to build governance around AI as adoption accelerates. Clinical AI touches diagnosis, documentation, and patient triage, so errors carry real risk. Independent assurance standards give health systems a common yardstick to evaluate tools and give patients confidence that deployed models have been vetted beyond marketing promises.

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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.