This publication presents a solution approach for digitally assisted planning and monitoring of supportive recommendations in cancer patients. This solution approach shall support patients in overcoming the after-effects of therapy effectively without extensive involvement of health professionals. Health professionals and patients are provided with a web application and a mobile application respectively, which use methods from mathematical decision support and artificial intelligence. This technological basis facilitates a closed-loop workflow for the cooperation of health professional and patient in oncological aftercare. The solution approach is illustrated for an exemplary case scenario of colorectal cancer. |
*** Title, author list and abstract as seen in the Camera-Ready version of the paper that was provided to Conference Committee. Small changes that may have occurred during processing by Springer may not appear in this window.