临床决策支持和医学中的自然语言处理:系统文献综述
Hans Eguia1,2, Carlos Luis Sánchez-Bocanegra2, Franco Vinciarelli1,3
1SEMERGEN New Technologies Working Group, Madrid, Spain.
Journal of medical Internet research
|September 30, 2024
概括
人工智能 (AI) 和自然语言处理 (NLP) 可以增强临床决策支持系统. 将人工智能算法与人类标准相结合,可以通过提高数据准确性来优化患者的诊断和治疗.
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
- 临床决策支持 临床决策支持
背景情况:
- 准确的健康信息对于患者的诊断和治疗至关重要.
- 医疗专业人员越来越多地使用在线资源来获取临床数据.
- 需要一种简化的方法来获取健康信息.
研究的目的:
- 在医疗保健中系统审查人工智能 (AI) 和自然语言处理 (NLP).
- 评估它们在电子健康记录和自动信息搜索中的使用情况.
主要方法:
- 在PubMed,Embase,ScienceDirect,Scopus和Web of Science进行系统搜索 (2000年1月至2023年4月).
- 包含AI/NLP的原始研究和系统审查,以支持临床决策.
- 使用关键评估技能计划工具进行质量评估.
主要成果:
- 从707篇文章中包括了26项研究.
- 在81%的研究中,NLP用于数据收集.
- 在69%的研究中,电子健康记录是数据来源.
- 19%的研究使用了临床数据的NLP策略.
- 62%的人提出了独立的数据审查算法.
- 35%的人使用了立即临床使用的临床决策支持系统.
结论:
- 自然语言处理 (NLP) 引擎显著提高了临床决策系统的准确性.
- 整合人工智能和人类判断的双相工具增强了临床诊断和治疗工作流程.
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