在openEHR模板中命名实体的语义映射和作文的临时生成
Nektarios Ladas1,2, Stefan Franz1, Dominik Wolff1
1Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Germany.
Studies in health technology and informatics
|August 23, 2024
概括
将医生报告文本集成到可互操作的标准中可以改善患者的护理. 一个新的软件解决方案可以在没有编程的情况下将自然语言处理 (NLP) 提取的命名实体插入到openEHR组合中.
科学领域:
- 医疗信息学 医疗信息学
- 医学自然语言处理 (NLP)
背景情况:
- 将非结构化医生报告集成到可互操作的标准中,对于以患者为中心的护理和医学研究至关重要.
- 现有的方法缺乏有效的解决方案,用于将NLP提取的命名实体插入到openEHR组合中.
研究的目的:
- 开发一个软件解决方案,将NLP提取的命名实体的无数据集成到openEHR组合中.
- 为了实现基于用户定义的映射而非编程的ad-hoc创建openEHR组合.
主要方法:
- 开发了一个软件解决方案,可以将名字实体从NLP管道映射到开放EHR模板中的字段.
- 实现了一个用户友好的界面用于映射配置,不需要编程专业知识.
主要成果:
- 成功创建了一个用于将NLP提取的命名实体插入到openEHR组合中的ad-hoc系统.
- 该解决方案允许非程序员在NLP输出和openEHR数据结构之间建立映射.
结论:
- 开发的软件有效地解决了将NLP提取的数据集成到openEHR的挑战.
- 通过加强临床数据互操作性,促进了以患者为中心的改善护理和医学研究.
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