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September 26, 2026

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

Health IT

Emanuel, Khosla Push for Autonomous AI Physicians

Oncologist and bioethicist Ezekiel Emanuel and venture capitalist Vinod Khosla argue that the medical community should be willing to let AI systems make autonomous clinical decisions, rather than insisting a physician always has the final say. In a Sept. 8 article for The Atlantic, cited by Becker's Hospital Review, the pair contend that requiring a human backup on every AI decision may hold back care that could be faster, cheaper, and in some cases more accurate than what doctors deliver today.

The view directly challenges the reigning standard for clinical AI, which keeps a licensed clinician "in the loop" to review and approve algorithmic recommendations. Regulators, hospitals, and malpractice frameworks are all built around that assumption. Emanuel and Khosla say the industry should at least experiment with removing it.

The argument is a viewpoint, not a policy change. But coming from a prominent bioethicist and a major health-tech investor, it signals a growing push to test where autonomous AI can safely operate, and it will sharpen debates over liability, FDA oversight, and patient trust.

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.