Coordinating Center, Observational Health Data Sciences and Informatics, New York City NY 10032, United States.
OHDSI Center at the Roux Institute, Northeastern University, Portland ME 04101, United States.
J Am Med Inform Assoc. 2024 Feb 16;31(3):583-590. doi: 10.1093/jamia/ocad247.
The Observational Health Data Sciences and Informatics (OHDSI) is the largest distributed data network in the world encompassing more than 331 data sources with 2.1 billion patient records across 34 countries. It enables large-scale observational research through standardizing the data into a common data model (CDM) (Observational Medical Outcomes Partnership [OMOP] CDM) and requires a comprehensive, efficient, and reliable ontology system to support data harmonization.
We created the OHDSI Standardized Vocabularies-a common reference ontology mandatory to all data sites in the network. It comprises imported and de novo-generated ontologies containing concepts and relationships between them, and the praxis of converting the source data to the OMOP CDM based on these. It enables harmonization through assigned domains according to clinical categories, comprehensive coverage of entities within each domain, support for commonly used international coding schemes, and standardization of semantically equivalent concepts.
The OHDSI Standardized Vocabularies comprise over 10 million concepts from 136 vocabularies. They are used by hundreds of groups and several large data networks. More than 8600 users have performed 50 000 downloads of the system. This open-source resource has proven to address an impediment of large-scale observational research-the dependence on the context of source data representation. With that, it has enabled efficient phenotyping, covariate construction, patient-level prediction, population-level estimation, and standard reporting.
OHDSI has made available a comprehensive, open vocabulary system that is unmatched in its ability to support global observational research. We encourage researchers to exploit it and contribute their use cases to this dynamic resource.
观察性健康数据科学和信息学（OHDSI）是世界上最大的分布式数据网络，包含来自 34 个国家的 331 多个数据源，涵盖 21 亿患者记录。它通过将数据标准化为通用数据模型（CDM）（观察性医疗结局伙伴关系 [OMOP] CDM），实现了大规模的观察性研究，并需要一个全面、高效和可靠的本体系统来支持数据协调。
我们创建了 OHDSI 标准化词汇表，这是网络中所有数据站点都必须使用的通用参考本体。它包含导入和从头生成的本体，其中包含概念及其之间的关系，以及根据这些概念将源数据转换为 OMOP CDM 的实践。它通过根据临床类别分配域、全面涵盖每个域内的实体、支持常用国际编码方案以及标准化语义等效概念来实现协调。
OHDSI 标准化词汇表包含来自 136 个词汇表的超过 1000 万个概念。它被数百个团体和几个大型数据网络使用。超过 8600 名用户已经执行了 50000 次系统下载。这个开源资源已经证明解决了大规模观察性研究的一个障碍——对源数据表示上下文的依赖。有了它，就能够实现高效的表型分析、协变量构建、患者水平预测、人群水平估计和标准报告。
OHDSI 提供了一个全面的、开放的词汇系统，在支持全球观察性研究方面能力无与伦比。我们鼓励研究人员利用它，并将他们的用例贡献给这个动态资源。
