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将临床术语映射到多机构研究平台的标准术语:映射原则和系统部署
Hannah Kang1, Youngsun Park1, Yukyeong Son1
1Kakao Healthcare Corp, Seongnam-si, Gyeonggi-do, South Korea.
International journal of medical informatics
|January 21, 2026
概括
这项研究开发了健康数据研究套件 (HRS) 平台,以在各机构标准化临床术语. 这通过确保数据与SNOMED CT.等国际术语的一致性来改善多机构研究.
科学领域:
- 医疗信息学 医疗信息学
- 临床数据标准化标准化
- 研究平台 研究平台
背景情况:
- 电子医疗记录 (EMR) 数据对多机构研究提出了挑战,原因是临床术语的变化.
- 标准化临床术语对于在不同医疗机构实现无数据集成和分析至关重要.
- 国际术语如SNOMED CT,LOINC和RxNorm为语义互操作性提供了一个框架.
研究的目的:
- 开发和实施一个多机构的研究平台,健康数据研究套件 (HRS).
- 标准化和整合机构临床术语与国际术语,确保语义等价性和一致性.
- 通过在各种医疗保健机构连接电子病历 (EMR) 数据,促进高效的多机构研究.
主要方法:
- 实施混合映射过程,将自动化和手动方法结合起来,用于临床术语标准化.
- 利用域特定的语义限制和优先级属性用于映射中的后协调.
- 员工交叉验证和专家咨询,以解决映射差异,并确保数据与SNOMED CT,LOINC和RxNorm保持一致.
主要成果:
- 通过语义标签和属性优先级来实现SNOMED CT,LOINC和RxNorm的增强映射精度.
- 健康数据研究套件 (HRS) 平台展示了改进的队列生成,并促进了多机构的研究.
- 高级代码搜索功能和用户友好的界面被集成到HRS平台中.
结论:
- 制定了一个系统的映射策略,以使机构临床术语与国际标准保持一致,克服语义一致性挑战.
- 该HRS平台提高了多机构研究效率,并支持综合医疗保健研究的创新.
- 建议通过教育计划解决术语专家的短缺问题,以支持高级卫生信息学的劳动力发展.
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