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错误来增强临床文档,从而潜在地降低临床医生的机会成本. 然而,在已发表的研究中,完全自动化的AI文档助理尚未提供.
科学领域:
- 医疗信息学 医疗信息学
- 改善临床文档 改善临床文档
- 医疗保健中的人工智能
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) 为提高文档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AI工具,旨在改善临床文档.
- 了解人工智能应用如何减轻与文档相关的机会成本.
主要方法:
- 对PubMed,Embase,Scopus和Web of Science数据库进行系统审查.
- 包括2024年7月之前发表的原始英语研究,重点是AI工具开发,应用和临床文档验证.
- 从673个初始候选人中提取和分析了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.
- 在患者访问期间实时人工智能协助显示中度准确性,限制了广泛采用.
- 在同行评审的文献中没有报告过具有高精度的端到端AI文档助理.
结论:
- 目前的AI技术,特别是数据结构,为临床文档工作流提供了有针对性的改进.
- 需要进一步的研究和开发,以实现高精度,全面的AI解决方案,用于临床文档.
- 人工智能有望减少临床医生的负担和医疗保健文档的机会成本.
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