VITALERTER Preventive Care Analysis.
Early prediction of health deterioration and events.
The VITALERTER preventive care analysis server is using advanced machine learning technology and medical experts’ models to predict health deterioration and events before they become an expensive problem.
Continuous monitoring of vital signs is considered by many experts as the key enabler for predicting health deterioration and adverse events.
Respiratory rate, heart rate and heart functions are the most important predictors as they provide early warnings for a variety of conditions and enable tracking of stress and sleep quality.
Early response to warning signs is proven to significantly improve resident safety and save costs.
Proactive Care Benefits
Predicting Fall & Evaluation
VITALERTER predicts bed exit and alerts staff 1 min before exit on average. This allows timely assistance at the bed side and helps preventing falls. The system is assessing the risk of falling using various signals to reduce false alarms. For example, the system indicates increased risk when a resident leaves the bed in the middle of the night during a deep sleep phase.
Monitoring Sleep Quality & Time in Bed
Sleep quality and time in bed are important indicators for heath deterioration and the development of mental conditions such as depression. VITALERTER is tracking movement, breathing and heart functions during sleep and is using patented technology to accurately measure sleep quality, recovery and sleep phases. Daily sleep quality and time in bed reports provide staff with an actionable view into the physical and mental state of residents and help assess the risk of falling and developing various pathological conditions.
Predicting Health Deterioration Events
Preventing Pressure Ulcers
VITALERTER Preventive Care Analysis
Preventice Care Management System.
The core analytics engine can be configured and managed using VITALERTER cloud-based preventive care management system.
The system provides management interfaces, mobile app, reports and integration with EHR.