在医疗保健中实施人工智能-信任的相关性:范围审查
Emilie Steerling1, Elin Siira1, Per Nilsen1,2
1School of Health and Welfare, Halmstad University, Halmstad, Sweden.
Frontiers in health services
|September 11, 2023
概括
对人工智能 (AI) 实施在医疗保健中的信任是复杂的. 了解个人,人工智能和上下文因素是克服挑战和推动医疗保健中人工智能采用的关键.
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
- 实施科学 实施科学
背景情况:
- 人工智能 (AI) 在医疗保健服务中的采用落后于其快速发展.
- 对人工智能的信任是成功实施的关键因素,但它的理解仍然不清楚.
- 对信任的明确理解对于开发有效的AI实施策略在医疗保健中至关重要.
研究的目的:
- 探索关于在医疗实施中对人工智能的信任概念化的科学文献.
- 确定影响对人工智能的信任的关键因素,涉及其在医疗保健环境中的实际应用.
主要方法:
- 对五个科学数据库进行了范围审查.
- 包括的文章是在2012年以后以英语出版的,并经过同行评审.
- 使用感应方法进行主题分析,遵循PRISMA-ScR指南.
主要成果:
- 包括八项研究,揭示了对人工智能的信任的各种概念化.
- 信任通常从个人的角度 (技术能力) 或关系的角度 (人与人之间) 来看待.
- 影响信任的三个主要主题出现了:个人,人工智能和上下文特征.
结论:
- 对人工智能对医疗实施的信任的概念化和决定因素在不同研究中存在很大差异.
- 很少有研究采用了整体观点,通常只关注个人和人工智能特征.
- 未来的研究应该采用更全面的视角来解决与医疗保健中人工智能实施相关的挑战和风险.
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