24/7 automated monitoring to ensure patient safety and
clinic workflow optimization
Intelligent monitoring
for hospitals
Optimize staff time by reducing routine workload and increasing the speed of reaction to important changes
See more by doing less
Injury prevention
There are from 4 to 11 falls per 1,000 bed days of care in hospitals. Various scales are introduced to assess the risk of falls, but preventing falls remains a difficult and almost impossible task.

In cases of risk of falling, AI-monitoring immediately sends push notifications to medical staff, allowing them to provide the necessary assistance in time and reduce the risk of injury.
Optimization of staff working time
The medical staff in hospitals have heavy workload. An average of 20 patients per nurse. At the same time, an increase in this ratio for each subsequent patient increases the risk of injury by 17%, and death by 6%.

The monitoring system adds additional "eyes" to the medical staff. In some cases, the condition of patients can be assessed remotely, thereby saving valuable time. And in really serious and dangerous cases, employees will receive a signal and will be able to react to it promptly. The system also allows you to dynamically assess the condition of patients without round-the-clock direct observation.
Prevention of bedsores in bedridden patients
Patients who are incapable of self-care require special attention. According to the results of a study conducted in the USA, about 17% of all hospitalized patients are at risk of developing bedsores or already have them.

The system allows you to prevent complications by helping nurses to care for the patient - reminds you of the need to turn the patient over and reports other disturbing events.
Optimization of the care process
Each hospital has its own well-established processes, but due to the abundance of work and lack of time, it can be difficult to find problem areas. In conditions of high workload for nurses and male nurses, the quality of care suffers and there is a high turnover of personnel - up to 30%.

The Intelligent monitoring system shows how the time of nurses and male nurses is allocated during the working day. Management has help in the form of statistics to make changes to processes. Due to the rapid identification of problem areas, managers can see a clear picture of the organization of processes in the hospital, as well as optimize and adjust the workload on staff.
Application scenarios
Tracking the fulfillment of medical appointments
to accelerate the recovery of patients

  • Statistics of being in the prone position
  • Reminders about the need for manipulation
  • Dynamics of patient promotion
Increasing the turnover of beds and reducing injuries of weakened patients

  • Monitoring of patients after anesthesia
  • Monitoring compliance with the individual regimen
  • Tracking of manipulation
24/7 monitoring of patients who need the acute attention

  • Instant notifications when recognizing alarming situations
  • Prevention of bedsores of bedridden patients
  • Preventing falls of weakened patient
Tracking the dynamics of patient rehabilitation

  • Patient activation statistics
  • Reminders about the need for manipulation
  • Monitoring of patient care by medical staff and nurses
In the wards
Preventing falls
Prevention of bedsore formation
Activity and mobility monitoring
Monitoring of alarming situations and falls in toilets and showers without cameras
Monitoring the quality of patient care
Virtual care of patients
In common areas
Preventing falls
Analytics of staff and patient movements
Access control to premises
With the help of the intelligent monitoring system the staff will be able to prevent complications and accidents
With the use of video analytics there is no need to disturb patients and violate their personal space when it is not critically important.
Adjust the necessary events individually for each patient and adjust them when his
condition changes
Individual approach
Round-the-clock monitoring allows patients to be calm and confident that help will always be provided on time
Patient's calm
Give your staff more time for full-fledged care due to remote monitoring of patients
Freeing up time
Monitor the individual indicators of each patient and make decisions based on independent data
Decision-making assistance
Let's discuss how AI can improve the quality of patient care
in your facility
If you have any questions or suggestions, we look forward to getting your feedback
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The research is carried out under grant funding provided by Skolkovo Foundation