
Healthcare Buys AI But Forgets the Workers
Hospitals are spending millions on advanced algorithms while leaving the frontline staff who must use them completely in the dark.
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Hospitals are spending millions on advanced algorithms while leaving the frontline staff who must use them completely in the dark.

Hospital administrators are treating clinical artificial intelligence as a cost-saving cure, but the frontline workforce sees a direct threat to patient safety.

Feeding raw medical data directly into clinical AI models might be degrading their performance without anyone noticing.

When commercial software cannot keep pace with clinical reality, health systems are forced to become software developers.

A new AI tool proves that human error, not machine limitation, is the biggest obstacle to tracking missing clinical trial data.

Patients who read AI-generated summaries of their brain scans feel significantly more confident, but they do not actually understand their medical results any better.

Federal officials are quietly clearing the runway for clinical AI, but their hands-off approach is triggering a chaotic state-level rebellion.

As federal regulators struggle to keep pace with the clinical AI boom, private oversight is stepping in to draw the guardrails.

A new automated tool exposes how easily human editors miss shifted endpoints in published medical research.

The federal push to eliminate paper faxes from medical billing risks replacing physical paper with digital clutter.