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.

Task

The HAI department performs several key tasks within 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 any unacceptable risk. Furthermore, our approach to digital sovereignty ensures that patients themselves have a say in how their data can be used for research purposes 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 focus of the HAI department. To this end, a wide variety of machine learning and big data analysis methods are used to process heterogeneous, multimodal, and multitemporal data using AI. Based on the analysis results obtained, our work on interaction design should also enable intuitive use – adaptable to the selected application case. To this end, we are increasingly using methods of participatory technology development and co-design in order to address the different needs and mental models of the various user groups in a targeted manner and to transfer the complexity of the developed technology into an intuitively usable interface.