The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective.

IF 1.6 Q3 HEALTH CARE SCIENCES & SERVICES
Frontiers in health services Pub Date : 2025-06-05 eCollection Date: 2025-01-01 DOI:10.3389/frhs.2025.1608087
Thomas D Evans, Omer Ahmad, Joseph E Alderman, Georgia Bailey, Peter Bannister, Nick Barlow, Natalie Davison, Amanda Isaac, Aditya U Kale, Trystan MacDonald, Qasim Malik, Susan C Shelmerdine, Henry David Jeffry Hogg, Alastair K Denniston
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Abstract

Procurement carries legal requirements across public services in the UK but, for stakeholders in clinical Artificial Intelligence (AI) innovation, it is often poorly understood. This perspective piece summarises insights from a cross-sector workshop exploring the role of procurement frameworks in supporting AI innovation in the National Health Service (NHS). The significant characteristics of AI from a procurement perspective are identified and their consequences are explored. The workshop identified challenges including visibility of AI procurement processes, uncertainty in the value in AI products, process inefficiencies, sustainability and framework design. Opportunities relating to AI procurement were also identified. These insights highlight the potential for procurement frameworks to enable responsible AI innovation in healthcare but acknowledge the need for collaborative efforts from a range of stakeholders to overcome the difficulties experienced by many to date.

采购框架在国家卫生服务中负责任的人工智能创新中的作用:多利益攸关方视角。
在英国,采购在公共服务领域具有法律要求,但对于临床人工智能(AI)创新的利益相关者来说,人们往往对采购知之甚少。这篇观点文章总结了跨部门研讨会的见解,该研讨会探讨了采购框架在支持国家卫生服务(NHS)人工智能创新方面的作用。从采购的角度确定了人工智能的重要特征,并探讨了它们的后果。研讨会确定的挑战包括人工智能采购流程的可见性、人工智能产品价值的不确定性、流程效率低下、可持续性和框架设计。还确定了与人工智能采购有关的机会。这些见解强调了采购框架在实现医疗保健领域负责任的人工智能创新方面的潜力,但也承认需要一系列利益攸关方的合作努力,以克服迄今为止许多人遇到的困难。
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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