Nurse shortage and challenging demographics calls for intelligent solutions that can support general ward in hospitals in primary care bed rooms in freeing up personnel time and supporting patient safety. We enable this via sensor, camera and AI technology across patient monitoring.
Kepler Night Nurse detects incidents via images from an installed camera in healthcare facilities and hospitals worldwide. The software notices when clients fall and when people with dementia wander from their location. In addition, the system recognizes when a situation occurs where the client is prone to fall.
The Night Nurse system captures, processes and delete the images afterwards in the caregiver’s facility, only allowing data to leave the local network when agreed for quality checks or calibrations.
By using Night Nurse technology:
The care software provides detailed insight into a client’s rhythm of life through the activity report. Because every client in elderly care has a different rhythm of living and not everyone is equally fall-prone, the alarms can be set for each room. Thus, for each client, it is possible to specify which incidents should lead to an alert. Think “person on floor”, “person out of room”, “person not returning from toilet”, “person got up from chair” or “person on edge of bed.
The activity report reflects health gains:
Kepler Night Nurse is registered as medical device and may be used in European hospitals and healthcare facilities.
Ward 24/7 is an advanced clinical software technology build to introduce intelligent alarms and early detection of clinical deterioration. Today clinical staff spend hours for manual measurement of vital signs to perform routine EWS scoring across wards. Introducing wireless sensors for automated vitals sigs also introduces to many false alarms for the caregivers, hence there is a need for an intelligent interpretation of patient data.
Ward 24/7 enables continuously patient monitoring of vital signs without introducing a high number of false alarms for the clinical personnel and supports detection of clinical deterioration for a reduction of severe adverse event.