Recognises bed-exit tendencies in several stages and provides information depending on the individual monitoring scenario
Care givers can intervene immediately and thus ensure the fastest possible fall rescue.
Monitors patient activity to assess sleep quality or validate therapeutic measures, supports delirium therapy and detects sudden restlessness and agitation.
Automatically detects lying positions and mobilisation in order to identify and minimise the risk of pressure sores at an early stage.
Alerts according to patient-specific monitoring scenario as soon as patients get up from chairs, wheelchairs, etc.
Recognises when there is no return to bed at night, for example after a visit to the toilet.
Detects when entering or leaving defined areas, e.g. toilet or patient room.
Monitors room and bed presence individually and in real time, even in shared rooms.
Recognising indicators for leaving the bed, wheelchair or similar at an early stage provides a decisive time advantage and leads to a significant reduction in falls.
Targeted and early alerting reduces the nursing effort in the patient’s room compared to other prevention systems, such as bell mats.
Compared to previously used prevention measures, QUMEA has achieved cost savings of between 49 and 76%.
After an initial system evaluation, the vast majority of users are clearly in favour of QUMEA.

Effectiveness, Proportionality, and Dignity: Three Standards for Good Patient Monitoring
The statement of the Swiss Academy of Medical Sciences and the Federal Council's response provide clear guidance.

QUMEA appoints Elad Benjamin as Chairman of the Board
Benjamin brings more than 25 years of experience in healthcare technology, enterprise software, and AI-driven medical solutions to support QUMEA’s next phase of growth.

QUMEA and Systematic join forces for safer patient care across the Nordics
Together with Systematic, we are setting a new standard for everyday care in the Nordic region.









