MORPHER - A Platform to Support Modeling of Outcome and Risk Prediction in Health Research

Cruz, Harry Freitas da; Bergner, Benjamin; Konak, Orhan; Schneider, Frédéric; Bode, Philipp; Lempert, Conrad; Schapranow, Matthieu-P.

doi:10.1109/bibe.2019.00090

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2021

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“…We identified 10 publications from German author teams but none of them is related to a clinical study based on observational patient data with a medical background [10,11,[17][18][19][20][21][22][23][24]. All of them are related to mapping issues, architectural concepts or tool development based on OMOP.…”

Section: Discussionmentioning

confidence: 99%

The Usage of OHDSI OMOP – A Scoping Review

Reinecke

Zoch

Reich

et al. 2021

Studies in Health Technology and Informatics

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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.

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