开发一个泰国用户界面术语来系统化医学命名体系 临床术语在初级保健中的实施:跨部分内容覆盖范围分析
Nat Tangchitnob1, Wanchana Ponthongmak1, Boonchai Kijsanayotin1,2
1Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Rama 6 Road, Ratchathewi, Bangkok, 10400, Thailand, 0833744997.
JMIR medical informatics
|March 11, 2026
概括
开发了一种新的泰国用户界面术语 (UIT),并将其映射到SNOMED CT,实现了高度的概念覆盖. 这些结构化数据有助于改善泰国的临床文档和健康分析.
科学领域:
- 医疗信息学 医疗信息学
- 临床术语学 临床术语学
- 自然语言处理自然语言处理.
背景情况:
- 泰国初级保健使用混合的泰语-英语自由文本,阻碍了数据标准化和互操作性.
- 医学临床术语的系统化命名法 (SNOMED CT) 可以对临床数据进行结构化.
- 开发本地用户界面术语 (UIT) 是SNOMED CT实现的关键.
研究的目的:
- 从经常使用的初级保健术语开发泰国UIT.
- 将这些术语映射到SNOMED CT概念中.
- 评估映射的概念覆盖范围.
主要方法:
- 从门诊病例记录中提取了2054个泰国术语,使用N-gram分析和专家审查.
- 使用手动和半自动工具将术语映射到SNOMED CT.
- 分析了障碍和解决方案的未绘制术语.
主要成果:
- 成功地将2012年术语 (97.98%) 映射到2041个SNOMED CT概念.
- 实现了97.98%的概念覆盖率,大多数映射都是一对一的.
- 识别了在SNOMED CT中尚未存在的文化特定术语和概念作为映射障碍.
结论:
- 开发一个泰国UIT的可行性被映射到SNOMED CT.
- ITU提高了泰国的语义清晰度,互操作性和临床决策.
- 解决了未来SNOMED CT实施和扩展的映射挑战.
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