弥合差距:在临床实践中实施基于人工智能的临床决策支持系统的挑战和策略
Niels Peek1, Daniel Capurro2, Vlada Rozova3
1The Healthcare Improvement Studies Institute (THIS Institute), Department of Public Health and Primary Care, University of Cambridge. Cambridge, UK.
Yearbook of medical informatics
|April 8, 2025
概括
人工智能临床决策支持系统 (AI-CDSS) 的实施研究正在出现. 研究强调需要证据,工作流程整合和更广泛的利益相关者参与,以便在医疗保健中成功采用AI-CDSS.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 实施科学 实施科学
背景情况:
- 临床决策支持系统 (CDSS) 越来越多地采用人工智能 (AI).
- 尽管人工智能取得了进展,但基于人工智能的CDSS (AI-CDSS) 的实际临床部署仍然有限.
- 了解AI-CDSS的实施对于弥合开发和实践之间的差距至关重要.
研究的目的:
- 审查最近关于AI-CDSS临床实施的文献.
- 评估AI-CDSS实施研究的成熟度.
- 将AI-CDSS的实施与基于规则的CDSS进行比较,并提供未来研究建议.
主要方法:
- 在PubMed和Scopus的系统文献搜索中,寻找2022-2023年的出版物.
- 专注于AI/CDSS,医疗保健和实施研究.
- 提取关于临床环境,任务,阶段,设计,参与者,理论和发现的数据.
主要成果:
- 分析了31篇论文,分为实施理论 (4),利益相关者观点 (22),可行性 (3) 和基础设施 (2).
- 利益相关者认识到AI-CDSS的好处,但强调了证据和工作流程的合适性.
- 在信任,透明度,知识,知识产权和监管方面,注意到与基于规则的CDSS的相似之处和差异.
结论:
- 人工智能-CDSS实施研究还处于起步阶段.
- 建议包括实施科学理论的基础研究,吸引各种利益相关者,进行可行性研究和开发可重复使用的技术基础设施.
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