{"title":"Suitability of the OMOP Common Data Model for Mapping Datasets of Medical Research Studies Using the Example of a Multicenter Registry.","authors":"Milla Kurtz, Alfred Winter, Matthias Löbe","doi":"10.3233/SHTI241086","DOIUrl":null,"url":null,"abstract":"<p><p>Common Data Models (CDM) are developed to solve integration problems that arise in the secondary use of health data. The OMOP CDM is such a model that is mainly used for healthcare data, so this paper examines whether it is also suitable for mapping research data. An exemplary research dataset is mapped to the model and the model is tested for suitability. For this purpose, an ETL process is first designed with the OHDSI tools and finally implemented with Talend Open Studio for Data Integration. The data quality is checked, and the mapping and the model, together with the tools, are evaluated. Overall, all but three data fields from the source dataset could be mapped to the OMOP model, so that the model's suitability for research data can be confirmed.</p>","PeriodicalId":94357,"journal":{"name":"Studies in health technology and informatics","volume":"321 ","pages":"170-174"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in health technology and informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/SHTI241086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Common Data Models (CDM) are developed to solve integration problems that arise in the secondary use of health data. The OMOP CDM is such a model that is mainly used for healthcare data, so this paper examines whether it is also suitable for mapping research data. An exemplary research dataset is mapped to the model and the model is tested for suitability. For this purpose, an ETL process is first designed with the OHDSI tools and finally implemented with Talend Open Studio for Data Integration. The data quality is checked, and the mapping and the model, together with the tools, are evaluated. Overall, all but three data fields from the source dataset could be mapped to the OMOP model, so that the model's suitability for research data can be confirmed.
通用数据模型（CDM）的开发是为了解决医疗数据二次利用过程中出现的整合问题。OMOP CDM 就是这样一个主要用于医疗保健数据的模型，因此本文将研究它是否也适合映射研究数据。我们将一个示范性研究数据集映射到该模型中，并测试该模型是否适用。为此，首先使用 OHDSI 工具设计了一个 ETL 流程，最后使用 Talend Open Studio for Data Integration 实现了该流程。对数据质量进行检查，并对映射和模型以及工具进行评估。总体而言，除了三个数据字段外，源数据集的所有数据字段都可以映射到 OMOP 模型，因此可以确认该模型适用于研究数据。
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