Bed exits

Recognises bed-exit tendencies in several stages and provides information depending on the individual monitoring scenario

Falls

Care givers can intervene immediately and thus ensure the fastest possible fall rescue.

Activity & restlessness

Monitors patient activity to assess sleep quality or validate therapeutic measures, supports delirium therapy and detects sudden restlessness and agitation.

Mobilisation

Automatically detects lying positions and mobilisation in order to identify and minimise the risk of pressure sores at an early stage.

Seat monitoring

Alerts according to patient-specific monitoring scenario as soon as patients get up from chairs, wheelchairs, etc.

No bed return

Recognises when there is no return to bed at night, for example after a visit to the toilet.

Zones entry/exit

Detects when entering or leaving defined areas, e.g. toilet or patient room.

Presence

Monitors room and bed presence individually and in real time, even in shared rooms.

Fewer falls

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.

More efficiency

Targeted and early alerting reduces the nursing effort in the patient’s room compared to other prevention systems, such as bell mats.

Lower costs

Compared to previously used prevention measures, QUMEA has achieved cost savings of between 49 and 76%.

85 Net Promoter Score

After an initial system evaluation, the vast majority of users are clearly in favour of QUMEA.

QumPreFall interim results show: QUMEA significantly reduces falls in delirium patients

QumPreFall interim results show: QUMEA significantly reduces falls in delirium patients

The digital mobility monitoring system QUMEA, which recognises tendencies to get out of bed and falls in patients with delirium, was able to achieve a 43% reduction in falls compared to conventional methods.

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AI Pilot Reduces Hospital Falls in Region Västra Götaland, Sweden

AI Pilot Reduces Hospital Falls in Region Västra Götaland, Sweden

Hospitals in the Västra Götaland region are taking a bold step into the future. A new pilot project using AI technology has shown promising results in reducing patient falls. This is shown in a white paper from AI Sweden, the Swedish national centre for applied artificial intelligence.

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From Switzerland to Iceland: QUMEA Welcomes its 100th Hospital

From Switzerland to Iceland: QUMEA Welcomes its 100th Hospital

Landspítali, Iceland’s national university hospital, has become the 100th hospital to implement QUMEA’s radar-based digital mobility monitoring system.

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