基于人工智能的临床决策支持系统的用户体验和随着时间的推移对使用的影响:范围审查
Dan Roland Persson1, Tariq Osman Andersen1
1Department of Computer Science, University of Copenhagen, Copenhagen N, Denmark.
Digital health
|February 23, 2026
概括
基于人工智能 (AI) 的临床决策支持系统 (AI-CDSS) 的用户体验随着时间的推移而动态发展. 了解这些时间用户体验对于改善AI-CDSS在医疗保健环境中的设计和实施至关重要.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 人与计算机的交互
- 人工智能的人工智能
背景情况:
- 基于人工智能 (AI) 的临床决策支持系统 (AI-CDSS) 在医疗保健中提供了潜在的好处,包括增强分析,效率和患者安全.
- 人工智能CDSS的动态和代性质需要理解用户体验的时间发展.
研究的目的:
- 进行范围审查,随着时间的推移,对AI-CDSS的用户体验进行映射.
- 识别影响这些体验的障碍和促进者.
- 用AI-CDSS. 综合时间用户体验的概述.
主要方法:
- 使用了一个范围审查方法 (Arksey和O'Malley).
- 通过对三个数据库进行搜索,发现了257条记录,其中16条符合纳入标准.
- 使用反射性主题分析和最佳合适合成来分析报告的用户体验.
主要成果:
- 9个总体用户体验主题和23个子主题出现,涵盖临床背景,用户,可学习性,可用性,信任性和有用性.
- 时间映射揭示了AI-CDSS的用户体验的动态和相互联系的性质.
- 结果提供了关于用户体验如何随着时间的推移而演变的见解,为AI-CDSS设计提供了信息.
结论:
- 目前对长期AI-CDSS用户体验的理解有限,特别是在模型性能变化和代更新方面.
- 需要进一步的研究来探索用户体验的展开与不断发展的AI-CDSS.
- 这项研究强调了基于时间用户体验见解的AI-CDSS设计的含义.
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