英国人工智能研究和实践背景下的数据和数据隐私影响评估。

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
Frontiers in health services Pub Date : 2025-04-16 eCollection Date: 2025-01-01 DOI:10.3389/frhs.2025.1525955
Fiona J Gilbert, Jo Palmer, Nick Woznitza, Jonathan Nash, Carla Brackstone, Lisa Faria, J Kevin Dunbar, Henry David Jeffry Hogg, Xiaoxuan Liu, Alastair K Denniston
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引用次数: 0

摘要

医疗保健研究和实践中的人工智能(AI)项目需要获得相关医疗保健提供者内部信息治理(IG)团队的批准。许多专注于人工智能开发和采用的利益相关者强调,如何通过这一审批过程是人工智能在医疗保健领域创新的关键挑战。数据隐私和影响评估是审批过程的一部分,通常被认为是这些挑战的焦点。该视角报告了来自多学科研讨会的见解,旨在描述挑战并共同探索潜在的解决方案。围绕人工智能技术、治理流程和利益相关者观点变化的主题出现了,突出了培训计划、实践社区以及NHS信托机构治理流程和结构标准化的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data and data privacy impact assessments in the context of AI research and practice in the UK.

Artificial intelligence (AI) projects in healthcare research and practice require approval from information governance (IG) teams within relevant healthcare providers. Navigating this approval process has been highlighted as a key challenge for AI innovation in healthcare by many stakeholders focused on the development and adoption of AI. Data privacy and impact assessments are a part of the approval process which is often identified as the focal point for these challenges. This perspective reports insights from a multidisciplinary workshop aiming to characterise challenges and explore potential solutions collaboratively. Themes around the variation in AI technologies, governance processes and stakeholder perspectives arose, highlighting the need for training initiatives, communities of practice and the standardization of governance processes and structures across NHS Trusts.

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