The Usage of OHDSI OMOP – A Scoping Review

Author:

Reinecke Ines1,Zoch Michéle1,Reich Christian23,Sedlmayr Martin1,Bathelt Franziska1

Affiliation:

1. Institute for Medical Informatics and Biometry at Carl Gustav Carus Faculty of Medicine at Technische Universität Dresden, Germany

2. IQVIA, Cambridge, MA, USA

3. Observational Health Data Sciences and Informatics (OHDSI), New York, NY, USA

Abstract

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.

Publisher

IOS Press

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