Poorly integrated AI scribes and LLMs can increase clinicians' cognitive load through workflow mismatches, verification burdens, and hallucination

Legal and ethical stakes for clinical AI are rising. This piece analyzes liability dynamics, how blame may be

State pilots are bringing AI into live clinical workflows while federal agencies build dedicated digital health capacity. This

A growing wave of nurse protests is signaling deeper staffing and governance failures in hospitals. Health leaders must

Ambient AI scribes are moving from pilot projects to routine use. Clinician acceptance is rising, but variable performance,

State efforts to constrain insurer use of AI are colliding with a federal push for regulatory uniformity. That

Many health systems are stuck with dozens of AI pilots but few scaled outcomes. This post explains common

Major medical centers and industry players are forming structured AI partnerships that fuse clinical cohorts with experimental scale.

Regulatory shifts are converting AI oversight from gatekeeping to continuous governance. Providers must integrate legal, compliance, and monitoring

Many healthcare AI initiatives stall not because models fail technically but because integration, governance, economics, and adoption fail