The OHDSI Sweden community is building the OMOP data model
The adoption of the OMOP Common Data Model, which aims to harmonise health data, is still at an early stage in Sweden, but progress is rapid.
Tanja gained her most recent work experience as a researcher at the National Institute for Health and Welfare. In addition, Tanja has worked, among other things, in an international research group.
She completed her MSc in Health Economics at the University of York in 2013 and holds a Master’s degree in the field of Economics and Business Administration from previous studies.
Tanja’s experience in conducting registry studies expands Medaffcon’s knowledge base to a whole new area.
A warm welcome to Tanja!

The adoption of the OMOP Common Data Model, which aims to harmonise health data, is still at an early stage in Sweden, but progress is rapid.
Disruption is present in many forms, and our clients are facing new challenges that require them to adapt to new ways of working. The same applies to us.
In a data gap analysis, gaps in the available information of the therapy area and data on a medicinal product are mapped and assessed against regulatory, scientific, and business requirements.