AVATAR: Anonymization of personal health data by generating digital avatars
The project
In our project, we are pursuing an innovative approach to anonymizing personal health data. All data collected from studies, medical care, fitness areas and health applications is fed into a decentralized data pool. Data with the required characteristics is extracted from this data pool on request and used to generate digital avatars. These avatars are based on real data and serve as anonymized artificial persons. This makes it impossible to trace the real data donors and opens up practical possibilities for using a large amount of existing data for the first time.
The aim of the proposed competence cluster is to research concepts for enabling the privacy-compliant sharing of personal data through the generation of AVATARs. The long-term goal is to fully exploit the potential of digitization and the applications, services and business models based on it in Germany for the benefit of social and individual health, thereby achieving a competitive advantage.
Another advantage is that the operation in the European cloud “GAIA-X” offers a vendor-neutral and standardized solution. This is particularly important due to the sensitive nature of personal health data.