Efficient planning of visits by mobile medical teams to patients is a very complex challenge that is becoming increasingly difficult to manage manually as patient demand rises. In addition, the situation is very dynamic and can change rapidly, e.g. due to new suspected cases. These difficulties do not only affect medical care – home care and the logistics of caring for people in need of assistance (e.g. in home quarantine) are also faced with similar problems. A route planning system developed by the AIT Center for Mobility Systems, which has been in use for years in parcel logistics, for example, also enables computer-aided planning of routes for the current situation. The system can assign supply teams to the people in need (e.g. patients), determine the optimal sequence and routes for the trips, and also calculate a probable time of arrival. The suggestions made by the system can ultimately be evaluated and approved by a dispatcher. In doing so, current requirements (e.g. a new suspected case) can be integrated into the planning at any time. This helps to avoid long detours or unfavourable routes, and the supply per time unit (e.g. COVID-19 sample collections per time unit) is maximised. In addition, all parties involved receive precise information, avoiding long waiting times and repeated calls to the already overloaded Corona hotline 1450.