Majeed Raphael W, Fischer Patrick, Günther Andreas
Universities Giessen and Marburg Lung Center (UGMLC), German Centre For Lung Research (DZL), Justus-Liebig University Giessen, Germany.
Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Germany.
Stud Health Technol Inform. 2021 May 24;278:251-259. doi: 10.3233/SHTI210077.
In the era of translational research, data integration and clinical data warehouses are important enabling technologies for clinical researchers. The OMOP common data model is a wide-spread choice as a target for data integration in medical informatics. It's portability of queries and analyses across different institutions and data are ideal also from the viewpoint of the FAIR principles. Yet, the OMOP CDM lacks a simple and intuitive user interface for untrained users to run simple queries for feasibility analysis. Aim of this study is to provide an algorithm to translate any given i2b2 query to an equivalent query which can then be run on the OMOP CDM database. The provided algorithm is able to convert queries created in the i2b2 webclient to SQL statements which can be executed on a standard OMOP CDM database programmatically.
在转化医学研究时代,数据整合和临床数据仓库是临床研究人员的重要支撑技术。OMOP通用数据模型作为医学信息学中数据整合的目标被广泛采用。从FAIR原则的角度来看,它在不同机构间的查询和分析可移植性以及数据方面也很理想。然而,OMOP CDM缺乏一个简单直观的用户界面,供未经培训的用户运行简单查询以进行可行性分析。本研究的目的是提供一种算法,将任何给定的i2b2查询转换为等效查询,然后可以在OMOP CDM数据库上运行。所提供的算法能够将在i2b2网络客户端中创建的查询转换为SQL语句,这些语句可以通过编程方式在标准的OMOP CDM数据库上执行。