半自动化管道加速多站点流表对齐和概念映射在电子健康记录中的概念映射
Hao Fan1, Sarah C Rossetti2,3, Jennifer Thate2,4
1Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, MO 63110, United States.
概括
我们开发了一条管道,使电子健康记录 (EHR) 流程在医疗保健网站之间保持一致. 这种方法通过将EHR数据字段映射到护理术语概念来改善数据标准化和信息交换.
科学领域:
- 医疗信息学 医疗信息学
- 临床数据管理 临床数据管理
- 护理术语标准化 标准化
背景情况:
- 医疗机构可以自定义电子健康记录 (EHR) 配置,以匹配独特的工作流程和患者护理优先级.
- 确保不同站点之间的EHR对齐对于无的信息交换和数据互操作性至关重要.
- 目前用于跨机构对齐EHR数据字段的方法可能是劳动密集型和不一致的.
研究的目的:
- 开发和评估一条管道,以便在医疗保健组织之间协调电子健康记录 (EHR) 流表数据.
- 通过将EHR流表数据字段映射到临床护理分类 (CCC) 护理术语中的概念来扩大对准管道.
- 简化跨不同医疗保健系统标准化患者护理数据的流程.
主要方法:
- 来自两个研究地点的流程表模板和措施被转换为模板-措施 (T-M) 对.
- 通过精确,词汇 (雅卡德相似性,模糊匹配) 和语义匹配 (使用LLM嵌入的共因相似性) 实现了对齐.
- 语义对齐涉及对T-M对的顶级CCC概念进行排名和推,并对概念映射进行了对层次一致性进行评估.
主要成果:
- 总共有31,255个在急症监护中的独特T-M对和27,012个在重症监护病房中的T-M对,在两个研究地点进行了对齐.
- 使用排名最高的CCC概念 (n=1) 产生了63%的流表对齐率和53%的概念映射率.
- 扩展到前3个CCC概念 (n=3) 显著提高了对齐率至96.5%,概念映射达到96%.
结论:
- 电子健康记录数据领域与概念映射的对齐提供了一种方法,可以在医疗保健站点之间标准化流程表中的数据元素.
- 开发的半自动化管道有效地简化了EHR流表对齐.
- 这种方法加快了手动概念映射过程,提高了数据的一致性,并促进了更好的临床决策.
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