Healthcare AI Governance Committees Fail to Scale, Experts Say

Central AI governance committees in healthcare are becoming bureaucratic bottlenecks, hindering the widespread adoption of AI technologies. These committees, intended to mitigate risks and ensure compliance with various regulations, often lack the necessary expertise and struggle with the sheer volume of AI proposals. The current manual review process is too slow for the rapid pace of AI development, leading to workarounds and 'shadow AI'. AI

IMPACT Current AI governance models in healthcare are too slow, hindering AI adoption; automation is proposed as a solution.

RANK_REASON The article is an opinion piece by an industry expert discussing the inefficiencies of current AI governance practices in healthcare.

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• ACA Section 1557
• Advocate Health
• AI governance committee
• Coalition for Health AI (CHAI)
• David Talby
• healthcare
• HHS HTI-1
• ISO/IEC 42001
• John Snow Labs
• NIST AI Risk Management Framework

• policy
• product
• other

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