In our German health system, increasingly high requirements are being placed on the processing IT infrastructures, which demands a continuous realignment and ongoing development of these systems. This includes not only the increasing amount and complexity of health data, but also new requirements in the areas of data protection and data security. The DAVE (Data Vault Environment) laboratory models, simulates as well as implements to a certain extent such a highly secure IT system and is oriented towards today's high data security standards. DAVE enables project-related research and testing of new technologies in the field of (cross-sectoral) processing of sensitive health data.
In particular, the data trust agency, which is important for the health system, is being tested in DAVE. The data trust agency accepts data from various producers (e.g. patients or patients' careers) and passes them on to health care institutions, e.g. health insurance companies or billing service providers. The recipients of the data can only access the part of the data that is relevant to them. Furthermore merging the partial data sets of the recipients is made difficult by suitable methods. At the same time, the data trust agency has no access to the data it has processed and forwarded.