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Demonstrating the power of the open source community, Martijn Schumie coordinate a group of 32 OHDSI (Observational Health Data Science Informatics) collaborators to participate in the HADES (Health Analytics Data-to-Evidence Suite) Unit-Test-A-Thon as a means to introduce new community members to HADES code and improve the overall coverage of unit tests within HADES. He presented a background on OHDSI - the tools, ecosystem, and community - and describe how he was able to make the Unit-Test-A-Thon such a success.

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Presenter

Martjin Schuemie
Observational Health Data Science and Informatics (OHDSI)

Martijn Schumie has a long history in research combining informatics and health care. His PhD research focused on treatment of phobias such as fear of heights using virtual reality. His time as postdoc at Erasmus University Medical Center involved text-mining the scientific literature for molecular biology. Later, he became an assistant professor and moved to the field of pharmacoepidemiology.

He was one of the lead investigators of the European EU-ADR project tasked with building a prototype drug safety signal detection system using population-level observational data. In 2012 he received a one-year fellowship from the FDA and became an active OMOP (Observational Medical Outcomes Partnership) investigator at Columbia University.

In 2013 Martijn joined Janssen Research and Development, where he continued his research in OMOP and later in OHDSI. He leads the OHDSI HADES (Health Analytics Data-to-Evidence Suite) workgroup, co-leads the OHDSI Population-Level Estimation workgroup, and co-led the Book of OHDSI.