AI-based social and health analytics

Less routine, more time for real care.

Optimize care processes and relieve your team with AI – discreet, data protection compliant, and effective.

AI-based social and health analytics for patient safety provide comprehensive monitoring to detect and prevent potential risks early. Our solutions comply with the highest data protection and security standards: patients’ privacy is always preserved since the system automatically pixelates individuals and no permanent recordings are made. Harmless behavior is not recorded — the camera functions more like an intelligent alarm sensor that only activates in emergencies. For care staff, this means noticeable relief: routine patrols are reduced, allowing more time for individual care and medically relevant tasks. At the same time, safety increases — critical situations are reliably detected even when no one is in the room.

Keep track of changes – for more safety for cognitively impaired individuals

With abnormal behavior tracking, you identify atypical behavior patterns in real-time. The system analyzes the movements and interactions of patients and automatically detects deviations from their usual behavior. This way, risky or unusual actions such as sudden disorientation, aggressive behavior, or leaving safe areas are immediately reported.

Minimize the risk of serious injuries – by alerting when leaving the bed

The “patient-leaves-the-bed” analysis detects when a patient unexpectedly leaves the bed and immediately sends a notification to the nursing staff. This is particularly important in nursing homes and hospitals to minimize the risk of falls or injuries. Especially for patients who are confused, have mobility restrictions, or need to be monitored during the night, this feature provides additional protection as the staff can respond early before an accident occurs.

Avoid searches – immediately recognize when patients leave the room

The “Patient leaves the room” function detects when a patient leaves a room, and the nursing staff is immediately informed. This monitoring is essential in areas with dementia or Alzheimer’s patients, as they often leave rooms unconsciously and move around disoriented. By immediately indicating when a room is left, the system allows staff to quickly intervene and safely guide the patient back before dangerous situations arise.

Help when your help is needed - with the detection of falls and collapses

Fall detection is one of the key safety features. It continuously monitors movements and immediately detects when a patient falls. Such falls, which are common especially among older or physically impaired individuals, can have serious consequences, particularly if patients remain without help for an extended period. By immediately notifying about falls, the nursing staff can quickly intervene and take initial measures, significantly reducing the risk of complications.

Avoid slip accidents and effectively prevent falls – detect liquids immediately

Liquids on the floor can quickly become a slipping hazard for both patients and staff. The “Spilled Liquids” analysis immediately detects when liquids are spilled and sends a notification to alert the cleaning staff. This allows spilled liquids to be promptly removed and accident risks to be reduced. Especially in high-traffic areas, this feature helps ensure a safe environment and prevent slipping accidents.

Recognize mask mandate violations immediately – and take action before it becomes critical.

Vaidio reliably monitors whether people in certain areas are wearing the required protective mask. This function is especially important in environments such as hospitals, clinics, or laboratories, where wearing masks is essential to prevent the spread of diseases and ensure the protection of patients and medical staff. If the system detects that a mask is missing, a notification is immediately sent so that measures can be quickly taken to ensure compliance with hygiene guidelines

Use smart AI to detect and interrupt infection chains early – before everyone is at risk

Occupancy detection

Occupancy detection monitors room usage in real-time to prevent overcrowding and ensure effective room allocation

Distance detection

Distance detection helps minimize the risk of infection and protect patient privacy by informing the nursing staff about close proximity.

Temperature detection

Temperature detection captures elevated body temperatures in patients, visitors, and staff, thus helping to identify potential illness cases early

Contact tracing

Contact tracing documents contacts so that in the event of an illness, measures can be quickly taken and transmission paths can be traced.

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