The digitization and digitalization of health systems offers great opportunities for improving prevention and care and making it more efficient. On the one hand, digital health applications have the potential to help a large number of people in a location-independent and resource-saving manner, thus offering a vector for population-based individual prevention. On the other hand, the intelligent use of digitized health data (wearables, electronic health records, health insurance claims, etc.) can be used to improve diagnosis, prognosis, therapy and prevention.
In collaboration with health insurance companies, general practitioners and players in the digital economy, we are developing, implementing and evaluating digitally supported diabetes prevention based on a randomized field trial and routine care data. In addition, we are analyzing the effectiveness of app-based health applications in meta-studies and comparing various machine learning approaches for predicting cardiovascular disease in people with type 2 diabetes based on health insurance claims.
Funded projects in this research area
Research area lead: Dr. Anna-Janina Stephan