CLARA-MeD工具 - 一个帮助患者理解西班牙语临床试验公告和同意表格的系统
Leonardo Campillos-Llanos1, Federico Ortega-Riba1, Ana R Terroba2
1ILLA, CSIC (Spanish National Research Council), Madrid, Spain.
Studies in health technology and informatics
|August 23, 2024
概括
本研究介绍了一种使用自然语言处理 (NLP) 的网络工具,以简化西班牙临床试验公告和同意表格. 该系统增强了患者对复杂医学术语的理解.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 医疗信息学 医疗信息学
- 卫生识字 卫生识字
背景情况:
- 临床试验公告 (CTA) 和同意表格 (CF) 往往含有复杂的术语,阻碍了患者的理解.
- 弥合医疗保健中的沟通差距对于知情同意和参与至关重要.
研究的目的:
- 开发和评估基于NLP的网络工具,以简化西班牙的CF和CTA.
- 改善患者对复杂的医学和研究相关语言的理解.
主要方法:
- 为技术医学术语创建一个专门的词典 (14,465条) 和词典 (70,547条).
- 使用从临床文档 (CTA,CF,PID) 中提取的实体进行开发.
- 通过专家验证人工智能生成的定义,并对新文件进行系统测试.
主要成果:
- 该NLP工具实现了高性能,F1平均得分为82.91% (严格匹配) 和94.65% (放松匹配).
- 专家验证表明,人工智能生成的定义中有28.99%需要更正,这凸显了人类监督的重要性.
结论:
- 开发的NLP工具有效地为普通用户简化了复杂的西班牙医疗文本.
- 这项技术有可能显著提高健康素养和患者参与临床研究.
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