在英国人工智能研究和实践的背景下,对数据和数据隐私的影响评估
Fiona J Gilbert1, Jo Palmer2, Nick Woznitza3,4
1Department of Radiology, Clinical School, University of Cambridge, Cambridge, United Kingdom.
Frontiers in health services
|May 7, 2025
概括
导航信息治理 (IG) 对医疗保健中人工智能 (AI) 的批准是具有挑战性的. 标准化流程和加强培训对于整个医疗保健提供者的人工智能创新至关重要.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人工智能在医学中的应用
- 信息治理 信息治理
背景情况:
- 人工智能 (AI) 在医疗保健中的实施需要信息治理 (IG) 团队的批准.
- 利益相关者认为,人工智能审批过程是医疗创新的重大障碍.
- 数据隐私和影响评估是这些治理挑战的核心.
研究的目的:
- 描述在医疗保健中人工智能信息治理审批过程中面临的挑战.
- 探索协作解决方案,以简化医疗保健环境中的人工智能采用.
- 从一个多学科研讨会中确定关键主题和可行的建议.
主要方法:
- 召开了一个多学科研讨会,讨论AI在医疗管理中的挑战和解决方案.
- 从参与人工智能开发和采用的各种利益相关方收集了见解.
- 采用专题分析来确定反复出现的问题和潜在的策略.
主要成果:
- 人工智能技术的变化,治理过程和利益相关者的观点被确定为关键主题.
- 需要加强人工智能在医疗保健中的培训举措.
- 建议在整个医疗保健组织中对治理流程和结构进行标准化.
结论:
- 解决人工智能医疗治理方面的挑战需要采用多方面的方法.
- 发展实践社区可以促进合作和知识共享.
- 标准化IG流程对于促进医疗保健中负责任的AI创新至关重要.
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