Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape

Aligning AI principles and healthcare delivery organization best practices to navigate the shifting regulatory landscape

As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory landscape. Health AI Partnership (HAIP) has created 31 best practice guides to inform the development, validation, and implementation of AI products. He...

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Bibliographic Details
Main Authors: Alifia Hasan, Noah Prizant, Jee Young Kim, Shreya Rao, David Vidal, Keo Shaw, Danny Tobey, Alexandra Valladares, Shira Zilberstein, Manesh Patel, Suresh Balu, Mark Sendak, Mark Lifson
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01605-2
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Summary:As artificial intelligence (AI) becomes further embedded in healthcare, healthcare delivery organizations (HDOs) must navigate a complex regulatory landscape. Health AI Partnership (HAIP) has created 31 best practice guides to inform the development, validation, and implementation of AI products. Here, we map the most common principles found in 8 key AI regulatory frameworks to HAIP recommended best practices to provide practical insights for compliance with expanding AI regulations.
ISSN:2398-6352

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