Over 100 institutions trust in QUMEA
Two female specialists in the hospital analyse data from the QUMEA Ward View and receive real-time notifications via the QUMEA app when help is needed.
Patient safety

AI-supported movement intelligence processes movement data in the patient’s room, recognises dangerous situations and issues warnings in real time. Continuous information on activity and mobility supports decisions in day-to-day care.

Peace of mind

QUMEA supports care givers around the clock and provides information in critical situations. This gives staff the security of being in the right place at the right time and allows them to focus on their actual tasks.

Cost efficiency

Prevents incidents such as falls or pressure ulcers and shortens the length of stay. Digital all-round monitoring enables a reduction in one-to-one care.

100% anonymous

QUMEA does not generate or process personal data at any time. The privacy and personal rights of patients, carers and doctors are respected and protected at all times.

The QUMEA system contactlessly recognises the movements of a patient who wants to get out of bed and automatically sends a notification to the nursing staff for rapid assistance.
Human Bytes and QUMEA Partner to Bring Smarter Patient Monitoring to Danish Healthcare

Human Bytes and QUMEA Partner to Bring Smarter Patient Monitoring to Danish Healthcare

Human Bytes and QUMEA are joining forces to introduce radar-based mobility monitoring to hospitals and elderly care facilities across Denmark.

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Klinik Lengg and QUMEA: Successful partnership

Klinik Lengg and QUMEA: Successful partnership

Following a successful pilot phase, Klinik Lengg in Zurich is continuing to use QUMEA to provide even more comprehensive care for patients who are particularly at risk of falling.

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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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