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- GenAI requires a new regulatory lens. Experts suggest generative AI should be treated as a novel form of intelligence, not simply regulated under existing medical device frameworks.
- Oversight should mirror clinician training and supervision. Proposed governance models emphasize credentialing, monitoring, and ongoing performance evaluation similar to how medical professionals are assessed.
- Continuous evaluation is essential as AI evolves. Because GenAI systems learn and adapt, experts recommend dynamic oversight structures that support transparency, accountability, and risk management over time.
As generative AI becomes more embedded in healthcare and clinical decision-making, experts are calling for new approaches to oversight that reflect the technology’s unique characteristics. Rather than regulating GenAI solely as a static software tool, the proposed framework positions these systems as a new form of intelligence that requires continuous monitoring, evaluation, and accountability.
The article explores how governance models could mirror the way clinicians are trained and assessed, with structured supervision, performance validation, and ongoing review helping ensure safe and effective use. This approach recognizes that AI systems evolve over time and therefore require dynamic oversight that supports transparency, trust, and responsible adoption across healthcare settings.
As healthcare organizations continue to explore the potential of generative AI, thoughtful regulatory frameworks will play an important role in balancing innovation with safety, helping ensure new technologies improve care quality while maintaining appropriate safeguards for patients and clinicians.
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