Healthcare AI Rules Need Uniform Standards Across States, Rad AI Executive Says
Demetri Giannikopoulos, chief information officer at Rad AI, warned that fragmented AI regulations across U.S. states risk creating inconsistent care standards for patients and providers. Speaking at HIMSS26 in April, Giannikopoulos called for aligned regulations nationwide to prevent the compliance chaos that patchwork rules would create.
The concern reflects a real operational problem. Healthcare organizations operating across state lines would face conflicting requirements if each state sets its own AI standards for clinical use. A diagnostic AI tool approved in one state might face different validation requirements in another.
Providers and health systems need clarity. Without federal alignment, organizations must either adopt the strictest state rules everywhere or maintain separate compliance frameworks by location-both costly and administratively complex.
The issue extends beyond compliance costs. Inconsistent standards could affect patient access to AI-assisted care, creating geographic disparities in which tools are available and how they're deployed clinically.
Giannikopoulos's position echoes broader industry concerns about regulation timing. Healthcare organizations are deploying clinical AI now, but the regulatory framework remains unsettled. Federal guidance on AI oversight would give providers a stable baseline rather than waiting for state-by-state rules to accumulate.
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