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EpiCore-A Common Data Model for Pharmacoepidemiological Studies in Denmark, Norway, and Sweden
Peter Bjødstrup Jensen1, Jacob H Andersen1, Martin Thomsen Ernst1
1Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.
We introduce the EpiCore Common Data Model (CDM), a simplified framework designed for Scandinavian pharmacoepidemiological studies. This accessible tool enhances data standardization and collaboration for researchers.
Area of Science:
- Health Informatics
- Pharmacoepidemiology
- Data Management
Background:
- Increasing use of Common Data Models (CDMs) in research.
- Complexity of existing CDMs poses a barrier to adoption.
- Need for simpler CDMs for specific use cases, such as local and collaborative studies.
Purpose of the Study:
- To propose the EpiCore CDM, a simple framework for Scandinavian pharmacoepidemiological studies.
- To address the complexity barrier of existing CDM frameworks.
- To facilitate data harmonization and collaboration in pharmacoepidemiology.
Main Methods:
- Developed based on guiding principles for accessibility and usability.
- Prioritizes structural and syntactic harmonization, deferring clinical concept mapping.
- Designed for both collaborative and single-site settings, with quality control support.
- Integrated with an R-package (EpiCoreAssistant) for compliance testing.
Main Results:
- The EpiCore CDM includes mandatory administrative tables (person, observation) and optional event/lookup tables.
- A specification template and an R-package (EpiCoreAssistant) facilitate implementation and quality control.
- Customization of the CDM is supported through the template and testing procedures.
- Demonstrates a step-by-step process for CDM-based pharmacoepidemiological studies.
Conclusions:
- Presents the EpiCore CDM, a simple framework with a specification template and R package.
- Offers improved workflows, standardization, and collaboration for Scandinavian pharmacoepidemiological studies.
- Relevant for a wide range of register-based healthcare researchers.
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