关于在医疗保健中实施人工智能的综合建议:关于促进者和障碍者的叙述性审查
Katharina Wenderott1, Jim Krups1, Matthias Weigl2
1Institute for Patient Safety, University of Bonn, University Hospital Bonn, Bonn, Germany.
BMJ open quality
|February 26, 2026
概括
在患者护理中实施人工智能 (AI) 面临障碍,但了解促进者和挑战是关键. 本综述为成功将人工智能整合到医疗机构中提供了基于证据的建议.
科学领域:
- 医疗保健信息学 医疗保健信息学
- 临床决策支持系统 临床决策支持系统
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 在临床实践中的整合为医疗保健提供提供了潜在的好处.
- 显著的障碍阻碍了人工智能技术在患者护理环境中的广泛采用和实施.
研究的目的:
- 确定实施人工智能技术在患者护理中的关键促进者和障碍.
- 为成功在医疗机构内整合人工智能提供基于证据的建议.
主要方法:
- 在四个电子数据库中进行了叙事审查,重点是过去十年的研究.
- 对26项选定的同行评审研究进行了主题内容分析.
主要成果:
- 通过使用SEIPS模型识别和分类了人工智能实施的55个维度的促进者和障碍.
- 影响人工智能采用的关键因素包括效率,IT基础设施的兼容性,利益相关者的参与,透明度和临床医生的信任.
- 根据最频繁报告的25个维度制定了建议.
结论:
- 本综述综合了有关AI在临床实践中的实施挑战的文献.
- 它为医疗机构和专业人员提供了导航人工智能采用复杂性的见解.
- 这些建议旨在指导利用人工智能的努力,以提高临床工作流程和患者护理结果.
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