超越试点阶段:探索人工智能在英格兰NHS的可持续实施
Nilangi Patil1, Charitini Stavropoulou1,2
1School of Health and Medical Sciences, City St George's, University of London, London, United Kingdom.
Frontiers in digital health
|March 9, 2026
概括
在NHS中为人工智能 (AI) 提供公共资金有助于试点项目,但不能保证可持续实施. 创新者面临的障碍包括错误的期望和分散的采用努力,需要更好地了解更广泛的AI整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 创新管理 创新管理
背景情况:
- 探索人工智能 (AI) 创新者的经验,这些创新者获得资金用于英国国家卫生服务 (NHS) 的试点创新.
- 了解阻碍和支持可持续人工智能实施的因素的观点.
研究的目的:
- 识别NHS内长期采用人工智能创新的挑战和促进者.
- 为成功将人工智能整合到医疗保健环境中的战略提供信息.
主要方法:
- 在NHS国家人工智能创新计划中获得资金的公司.
- 采用雪球和LinkedIn抽样,从11家人工智能公司招募18名员工.
- 进行半结构面试和对参与者数据进行主题分析.
主要成果:
- 资金使人工智能创新者能够试点解决方案,证明成功,并获得认可.
- 可持续实施的关键障碍包括错误的期望,分散的采用努力和不充分的评估机制.
- 缺乏国家协调阻碍了人工智能的广泛采用.
结论:
- 仅靠公共投资不足以实现NHS中雄心勃勃的AI采用目标.
- 对实际实施挑战的更深入理解对于在医疗保健中推进人工智能至关重要.
- 解决已识别的障碍是成功扩展人工智能创新的必要条件.
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