Stud Health Technol Inform
Medical University of Vienna, Center for Medical Statistics, Informatics, and Intelligent Systems.
Published: March 2018
Background: In conformity with increasing international efforts to reuse routine health data for scientific purposes, the Main Association of Austrian Social Security Organisations provides pseudonymized claims data of the Austrian health care system for clinical research.
Objectives: We aimed to examine, whether an integration of the corresponding database into i2b2 would be possible and provide benefits.
Methods: We applied docker-based software containers and data transformations to set up the system. To assess the benefits of i2b2 we plan to reenact the task of cohort formation of an earlier research project.
Results: The claims database was successfully integrated into i2b2. The docker-based installation approach will be published as git repository. The assessment of i2b2's benefits is currently work in progress and will be presented at the conference.
Conclusions: Docker enables a flexible, reproducible, and resource-efficient installation of i2b2 within the restricted environment implied by our highly secured target system. First preliminary tests indicated several potential benefits of i2b2 compared to the methods applied during the earlier research project.
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