Decision Support, AI-Based Data Analytics and Patient Empowerment.
The platform also provides the technological basis for therapy planning and case data analysis. Here, digitally assisted therapy planning uses methods of sequential and multi-criteria decision support and rule-based systems. Physicians are thus supported in time-consuming and error-prone work steps by digital assistance functionality. The data analysis uses AI methods for the extraction of empirical knowledge from current cases and thus enables an empirically motivated further development of clinical procedures. Patients can use a webservice or smartphone app to contact their physicians via the web platform and obtain appropriate information related to their disease and therapy. This enables cancer patients to empower themselves in a medically quality-assured way. Through self-determination, the individual should be motivated to actively deal with his or her disease, to better cope with it and to jointly decide on the treatment with the person treating him or her.