MED²ICIN

Motivation

In October 2018, MED²ICIN was launched as a four-year Fraunhofer lead project under the direction of the Fraunhofer Institute for Computer Graphics Research IGD (Fraunhofer IGD) and with the participation of six other Fraunhofer Institutes. The aim is to create a holistic digital patient model by bundling all available health-related information of an individual. Data previously available in different systems at different times and in different places are to be combined into a digital image. In this way, enormous potential for improvement for more effective prevention, diagnostics, therapy and care as well as a more intelligent use of health care expenditures can be achieved.

We take over several central tasks in MED²ICIN. A data protection and data security concept ensures that the data used is protected and that the patients behind it are not exposed to unacceptable risks. Furthermore, our approach to digital sovereignty is designed to ensure that patients themselves have an influence on how their data can be used for research in addition to purely medical treatment. In addition, the integration of cohort data and scientific findings (disease models, guidelines for diagnosis and therapy) is a central issue.  For this purpose, various methods of machine learning and big-data analysis are applied to process the heterogeneous, multi-modal and multi-temporal data by means of AI. Based on the results of the analysis, our work on interaction design should also enable intuitive use - adaptive to the selected use case. For this purpose, we increasingly use methods of participatory technology development and co-design to precisely address the different needs and mental models of different user groups and to transfer the complexity of the developed technology into an intuitively usable interface.