用人工智能改进临床文档:一个系统审查
Perspectives in health information management
|March 26, 2025
概括
人工智能 (AI) 工具可以通过结构化数据和识别趋势来提高临床文档的效率和质量. 虽然还没有完全自动化的AI助理,但当前的AI应用程序为临床医生提供了有针对性的改进.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
- 临床文档 临床文档
背景情况:
- 临床医生在临床文档上花费大量时间,这导致了大量的机会成本.
- 人工智能 (AI) 为改善临床文档的质量和效率提供了一个潜在的解决方案.
研究的目的:
- 系统地审查同行评审的人工智能 (AI) 工具.
- 了解AI如何潜在地降低与临床文档相关的机会成本.
主要方法:
- 在PubMed,Embase,Scopus和Web of Science数据库中发表的研究的系统审查.
- 包含原始的英语研究报告AI工具开发,应用或临床文档验证,直到2024年7月.
- 从673项候选研究的初始池中提取和分析了129项研究.
主要成果:
- 人工智能工具通过数据结构,注释,质量评估,趋势识别和错误检测来增强文档.
- 在办公室访问期间实时人工智能协助显示出希望,但受到中等准确度的限制.
- 现有的人工智能技术,特别是数据结构,为临床文档工作流提供了具体的改进.
结论:
- 当前的人工智能工具为临床文档提供了有针对性的改进,解决了数据组织和质量评估等方面.
- 虽然在已发表的研究中尚未实现全面,端到端的AI文档解决方案,但AI显示出明显的潜力来优化临床医生的工作流程.
- 需要进一步开发,以克服在临床环境中更广泛实时AI实施的精度限制.
相关概念视频
01:43Proofreading
Overview
01:43Proofreading
Overview
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01:15Methods of Documentation VI: Case Management Model
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01:30Methods of Documentation VII: EMR
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