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September 26, 2026

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

Health IT

ShinyHunters Claims McKesson Breach of 284M Records

By Healthcare Technology News ·

The hacking group ShinyHunters claims it breached McKesson, one of the largest US healthcare distributors, and stole 284 million patient records, according to HIStalk. If the claim holds up, it would be among the biggest healthcare data breaches on record.

McKesson sits at the center of the US drug and medical supply chain, moving pharmaceuticals and data on behalf of pharmacies, hospitals, and health systems nationwide. A breach at that scale would expose not just one provider but a wide web of downstream partners and patients whose records pass through the company's systems.

The figure has not been independently verified, and attackers routinely inflate stolen data counts to pressure victims and sell access. Still, ShinyHunters has a track record of large corporate intrusions. Expect scrutiny of McKesson's disclosure timeline, any HIPAA breach notification obligations, and questions about how a distributor of this size handles patient data at rest and in transit.

Sources

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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

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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.