使用元数据和模块化实现 OMOP CDM 的 ETL 流程。
Towards ETL Processes to OMOP CDM Using Metadata and Modularization.
机构信息
Institute for Medical Informatics and Biometry, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.
出版信息
Stud Health Technol Inform. 2023 May 18;302:751-752. doi: 10.3233/SHTI230256.
OMOP common data model (CDM) is designed for analyzing large clinical data and building cohorts for medical research, which requires Extract-Transform-Load processes (ETL) of local heterogeneous medical data. We present a concept for developing and evaluating a modularized metadata-driven ETL process, which can transform data into OMOP CDM regardless of 1) the source data format, 2) its versions and 3) context of use.
OMOP 通用数据模型（CDM）旨在分析大型临床数据并为医学研究构建队列，这需要对本地异构医疗数据进行提取、转换和加载（ETL）处理。我们提出了一种开发和评估模块化元数据驱动 ETL 流程的概念，该流程可以将数据转换为 OMOP CDM，而无需考虑 1）源数据格式，2）其版本以及 3）使用上下文。
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