Making AI Models in Healthcare Transparent One Bite at a Time – Regulatory Talk Series

Making AI Models in Healthcare Transparent One Bite at a Time – Regulatory Talk Series

The article discusses the regulatory challenges and opportunities arising from new data standards introduced by the Office of the National Coordinator for Healthcare Technology (ONC). Focusing on algorithm transparency in AI-driven clinical decision support intervention tools, it emphasizes the need for healthcare tech developers to understand and comply with the evolving regulations. Key considerations include identifying algorithms subject to transparency requirements, clarifying responsibilities between solution providers and third-party vendors, and leveraging the growing á la carte AI ecosystem. The article underscores the importance of strategic planning to navigate compliance and advance innovation in healthcare AI.

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The article outlines regulatory changes by the ONC regarding algorithm transparency in healthcare AI. It emphasizes the need for developers to understand new compliance requirements, particularly focusing on AI-driven clinical decision support interventions. Key points include identifying algorithms subject to transparency, clarifying responsibilities between solution providers and vendors, and leveraging the evolving AI ecosystem. Strategic planning is highlighted as crucial for navigating compliance and advancing innovation. Overall, the article underscores the significance of these regulatory shifts in shaping the future of AI in healthcare.


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