In our efforts to get steadily closer to this goal, we are working on the key topics of security, connectivity and individualization and are constantly developing our expertise in the areas of telemonitoring, data, artificial intelligence, networks and education and training.
Telemonitoring
is the remote monitoring of critical measurement parameters in the home environment of chronically ill patients with the aim of disease stabilization and resource conservation.
Data
In the context of data generation, the development of a nationwide standardized, topic-related health data infrastructure is necessary. Structured core data sets must be defined and collected, evaluated and made usable longitudinally across sector boundaries. This is important in order tocreate an exchange between healthcare and research and vice versa.
Artificial intelligence
(AI)-based technologies as real-time clinical decision support tools to assist physicians in prevention, early detection and appropriate treatment selection for personalized patient care.
Networking
enables a digitally-supported care and research network at regional, state, national and international level to create knowledge exchange, standardization and cross-border patient care. These networks serve as blueprints for innovative, sustainable care structures.
Education and training
enables students and employees in the healthcare sector to receive application-oriented trainingin digital skills and primary/secondary qualifications to prepare them for interprofessional collaboration for better patient healthcare of the future.
