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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Ocuvera
Ocuvera

Ocuvera

Founded 2013

Predict and prevent unassisted patient bed falls using automated computer vision monitoring

You can use Ocuvera to prevent patient falls in hospital rooms and healthcare facilities. The system monitors inpatient beds with specialized optical sensors to detect subtle movements before a patient attempts to exit the bed unassisted. When it identifies an exit attempt, it automatically alerts nurses and care staff directly on their mobile devices or through existing nurse call systems. This gives caregivers sufficient warning to assist the patient in person, reducing fall rates, minimizing bed alarm fatigue, and keeping vulnerable patients safe without continuous manual observation.

What Ocuvera does

Monitor inpatient movements using non-recording optical sensorsSend automated bed exit notifications to nurse call systemsView short video confirmation snippets of patient movementsTrack unit-level fall metrics and response timesAdjust patient fall risk settings based on mobility assessmentsAudit alert history to evaluate nursing response speedPredicts patient bed exits up to one minute before they happenSends real-time alerts directly to nursing mobile devicesIntegrates with existing hospital nurse call and EHR systemsUses optical sensors that protect patient privacy without recording personal videoReduces false alarms compared to standard pressure-sensitive bed matsProvides video verification clips to nurses before they enter the room

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Ocuvera, patient fall prevention, hospital safety, computer vision, nurse call alert, bed fall monitoring, inpatient care, medical monitoring, fall risk reduction, clinical workflow, patient monitoring, healthcare computer vision, video sensor, hospital bed alert, acute care safety