将医疗保健数据集成到用于整合生物学和床边 (i2b2) 模型的信息学中,通过Elasticsearch持久:在法国一所大学医院的设计,实施和评估
Romain Griffier1,2, Fleur Mougin2, Vianney Jouhet1,2
1Service d'Information Médicale, Informatique et Archivistique Médicale (IAM), Pôle de Santé Publique, Bordeaux University Hospital, Bordeaux, France.
JMIR medical informatics
|April 24, 2025
概括
通过与Elasticsearch集成生物学和床边 (i2b2) 模型的信息技术的实施,显著提高了临床数据仓库查询性能,并减少了存储需求. 这种方法通过利用NoSQL功能来更快地检索数据来优化健康数据研究.
科学领域:
- 医疗信息学 医疗信息学
- 数据库管理数据库管理
- 生物医学研究生物医学研究
背景情况:
- 数字健康数据的不断增长需要对研究等二次用途进行高效的管理.
- 临床数据仓库 (CDW) 组织健康数据,生物与床边整合信息学 (i2b2) 模型是常见的关系方法.
- 在CDW中关系数据库持久性可能会导致大型数据集的性能问题.
研究的目的:
- 在NoSQL Elasticsearch数据库中使用数据持久性来调整和实施i2b2模型的表型.
- 评估Elasticsearch的性能和资源需求,与用于CDW查询的传统关系数据库相比.
主要方法:
- 比较关系数据库和NoSQL Elasticsearch数据库的查询响应和执行性能.
- 专注于计算涉及结构化,数值和自由文本数据的查询,并进行时间过.
- 描述了数据加载,更新流程以及对Elasticsearch的i2b2模型的调整.
主要成果:
- 弹性搜索显示了比关系数据库更短的查询执行时间,特别是在自由文本搜索中.
- 对i2b2模型进行了调整,以解决Elasticsearch缺乏连接功能的问题.
- 对于存储,Elasticsearch所需的磁盘空间比索引关系数据库少.
结论:
- 使用Elasticsearch实现i2b2是可行的,并且在查询性能上提供了显著的改进.
- 这种NoSQL方法可以减少CDW中的磁盘空间使用量.
- 基于Elasticsearch的i2b2实现正在波尔多大学医院运行.
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