标准化多站点临床注释标题到LOINC 文档本体学:基于变压器的方法
Xu Zuo1, Yujia Zhou1, Jon Duke2,3
1University of Texas Health Science Center at Houston, Houston, TX, USA.
AMIA ... Annual Symposium proceedings. AMIA Symposium
|January 15, 2024
概括
在电子健康记录 (EHR) 中标准化临床笔记对于数据交换至关重要. 这项研究使用LOINC文档本体学 (DO) 开发了一个自动化管道来映射笔记标题,达到0.90准确度.
科学领域:
- 医疗信息学 医疗信息学
- 医疗信息学 医疗信息学
- 临床数据标准化标准化
背景情况:
- 电子健康记录 (EHR) 中的临床笔记多样化,阻碍了数据检索和交换.
- 临床文档类型的标准化对于统一的数据管理至关重要.
- LOINC 文档本体学 (DO) 提供了一个命名和描述临床文档的框架,但其现实世界的部署需要探索.
研究的目的:
- 评估LOINC文档本体学 (DO) 对标准化各种临床笔记标题的实用性.
- 开发和评估一个自动化管道,在多个机构中将临床笔记标题映射到LOINC DO代码.
- 根据现实世界的临床笔记标题,分析LOINC DO的覆盖范围和潜在的扩展.
主要方法:
- 将五所机构的临床笔记标题映射到LOINC文档 Ontology (DO) 中.
- 根据笔记标题和LOINC DO代码之间的语义相似性进行分类映射.
- 开发了一个自动化管道,使用大型语言模型来绘制笔记标题,而无需访问临床笔记内容.
主要成果:
- 自动化标准化管道在将临床笔记标题映射到LOINC DO代码时实现了0.90的准确性.
- 手动和自动映射结果被比较以分析LOINC DO覆盖范围.
- 评估了管道中使用的不同大型语言模型之间的性能差异.
结论:
- 开发的自动化管道有效地在多个机构中使用LOINC DO标准化了临床笔记标题.
- 该研究提供了LOINC DO覆盖范围的洞察力,用于多种多处的临床笔记.
- 结果表明LOINC DO扩展的领域,以提高其在现实世界临床环境中的适用性.
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