在公共卫生保健环境中实施和扩大商业AI:挪威的经验
Gro-Hilde Severinsen1, Rune Pedersen1, Gunnar Ellingsen1,2
1Norwegian Centre for E-health Research.
Studies in health technology and informatics
|May 13, 2025
概括
在医院中成功采用人工智能需要战略实施,代方法和利益相关方参与. 这种方法提高了数字成熟度和用户信任,以获得长期的成功.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 过程评估 过程评估
背景情况:
- 在医疗保健环境中实施商业AI应用提出了独特的挑战.
- 对于医疗机构来说,了解成功采用人工智能的关键因素至关重要.
研究的目的:
- 在挪威一家医院信托中对人工智能应用实施进行形成过程评估.
- 确定关键领域,关键是成功地在医疗保健环境中采用人工智能.
主要方法:
- 制定了一个自下而上的实施策略,强调"通过行动学习"的方法.
- 采用了一种代的实施方法,在多家医院中进行了改进.
- 优先考虑广泛的利益相关者参与和严格的质量保证.
主要成果:
- 该研究确定了人工智能采用的三个关键领域:实施策略,方法和效果/价值.
- "通过行动学习"战略和代方法促进了数字成熟度的增强.
- 实现早期效益,加强用户信任和参与度是关键成果.
结论:
- 对人工智能实施的协作,代方法对于医疗保健环境至关重要.
- 用户的信任和参与对于人工智能应用的持续采用至关重要.
- 这些发现为实施人工智能解决方案的医院提供了宝贵的见解.
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