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

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-05-14 DOI:10.1038/s41746-025-01605-2

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

引用次数: 0

Abstract

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.

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调整人工智能原则和医疗保健服务组织的最佳实践，以应对不断变化的监管环境

随着人工智能（AI）在医疗保健领域的深入应用，医疗保健服务组织（hdo）必须应对复杂的监管环境。卫生人工智能伙伴关系（HAIP）制定了31项最佳实践指南，为人工智能产品的开发、验证和实施提供信息。在这里，我们将8个关键人工智能监管框架中最常见的原则映射到HAIP推荐的最佳实践中，为遵守不断扩大的人工智能法规提供实用的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.