Hospital Acquired Conditions (HACs) affect one in 10 patients and pose not only a patient safety risk but also a financial risk. Hospital management, nursing directors, safety or quality officers face a lack of real-time patient activity insights, especially in fall-risk or dementia wards. QUMEA enables real-time monitoring of patient movement without cameras, helping staff intervene proactively, reduce falls, and improve workflow.
QUMEA delivers fall detection and prevention alerts. Recognizing 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.
QUMEA measures all movement in a room. Based on this movement data, our industry-leading artificial intelligence (AI) recognises potentially dangerous situations and informs nursing staff when patients need help – depending on the individual monitoring scenario they define for each patient and room.
The radar-based, AI-supported motion intelligence detects human movements precisely and without contact and recognises potentially dangerous situations based on anonymous movement data. Without any unethical image processing, to protect everyone involved in the care process.
The QUMEA system, 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.
QUMEA stands for improved patient safety, fewer fall-related incidents, lower operational burden , and data-supported care decisions. Delivered as a "Monitoring-as-a-Service" solution, including hardware, cloud software & support, QUMEA has a track record in more than 130 hospitals.