Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universität Dresden, Germany.
IQVIA, Cambridge, MA, USA.
Stud Health Technol Inform. 2021 Sep 21;283:95-103. doi: 10.3233/SHTI210546.
OHDSI, a fast growing open-science research community seeks to enable researchers from around the globe to conduct network studies based on standardized data and vocabularies. There is no comprehensive review of publications about OHDSI's standard: the OMOP Common Data Model and its usage available. In this work we aim to close this gap and provide a summary of existing publications including the analysis of its meta information such as the choice of journals, journal types, countries, as well as an analysis by topics based on a title and abstract screening. Since 2016, the number of publications has been constantly growing and the relevance of the OMOP CDM is increasing in terms of multi-country studies based on observational patient data.
OHDSI(观察性健康数据科学和信息技术)是一个快速发展的开放科学研究社区,旨在使来自世界各地的研究人员能够基于标准化的数据和词汇进行网络研究。目前还没有关于 OHDSI 标准(即 OMOP 通用数据模型及其使用情况)的全面出版物综述。在这项工作中,我们旨在弥补这一空白,并提供现有出版物的摘要,包括对其元信息的分析,如期刊选择、期刊类型、国家,以及基于标题和摘要筛选的主题分析。自 2016 年以来,出版物的数量一直在不断增加,并且基于观察性患者数据的多国研究,OMOP CDM 的相关性也在不断增加。