ADEP²T: Advanced tool for disidentification and analysis of health data
Adep²t is an advanced disidentification tool that analyses your specific needs and offers the optimal method of data disidentification — whether that be pseudonymisation, anonymisation, or synthetic data — thus ensuring the secure and compliant management of sensitive information.
Euris purpose an innovative solution that meets the needs of the Data Governance Act (DGA), the European Health Data Area (EHDS) and other regulatory texts related to the processing of health data. Adep²t facilitates, improves and accelerates the analysis of health data sharing through disidentification. Adep²t is the first tool that offers researchers to compare and test three different de-identification methods on their own data set in order to choose the most optimal for their research project. Indeed, Adep²t accompanies you on the pre-processing steps of your data. Adep²t is a complete tool to help you find a tetechnical and legal point of view.
ADEP²T will allow you to :
- Centralize informations and platforms in a single tool
- Benefit from unidentified and ready-to use data
- Work in a compliant and secure environment
- Analyze and test data before disidentifying it
- Benefit from our legal support and a specialized data team
Thanks to ADEP²T, we can guarantee that your data complies with regulations, standards and good practices, and that it is stored securely. We benefit from the expertise of Euris Health Cloud as a health data host. In addition, ADEP²T enables us to respond to emerging disidentification needs by allowing you to test the methods yourself and select the most suitable one for your project.