KEPLER NIGHT NURSE CLIENTS
Kepler Night Nurse is used by our clients as prevention for falls and to reduce workload among nursing staff. In addition, one gains a better understanding of the causes and consequences of falls. The implementation of Kepler Night Nurse enables faster and more efficient operations. Thus, falls are reduced.
KEPLER NIGHT NURSE CLIENTS
Kepler Night Nurse is used by our clients as prevention for falls and to reduce workload among nursing staff. In addition, one gains a better understanding of the causes and consequences of falls. The implementation of Kepler Night Nurse enables faster and more efficient operations. Thus, falls are reduced.
REVIEWS OF OUR CUSTOMERS
WE MAKE GOOD USE OF THE KEPLER ALARMS
“One of our clients is often restless at night and then leaves the bed or even the room. The psychologist and I can make good use of the Kepler Night Nurse’s alarms to see when this has happened, and we discovered that the client’s going to bed early was the cause of the restlessness.”
Employee Joris Care
MORE TIME FOR DIRECT CLIENT CARE
“After two departments have been live for quite some time, now employees are coming to us when they can also start using Kepler Vision Technologies’ fall prevention/fall detection. They see it as an opportunity to have to check fewer alarms as a result and be able to devote the time left over to direct client care. This month, two more departments go live at Care in October.”
Employee Care in October
MORE PEACE OF MIND FOR CARE STAFF AND RESIDENTS
“Before, when we got an alarm, we didn’t know what to expect. Had someone fallen, was help needed or was it a false alarm because the comforter was hanging next to the bed? With the new system, we get different types of reports and that gives both us and the residents more peace of mind.”
Employee Care Location Coach House
DOUBT-FREE ALARMS
“It’s easy to think your solution is excellent. You save the nursing staff time in many ways, which only serves to monitor. Kepler Night Nurse gives the staff precisely the information they need. It’s impressive how accurate the analysis works.
Business Development Manager, Konica Minolta
EXPERIENCES OF OUR CUSTOMERS
WE MAKE GOOD USE OF THE KEPLER ALARMS
“One of our clients is often restless at night and then leaves the bed or even the room. The psychologist and I can make good use of the Kepler Night Nurse’s alarms to see when this has happened, and we discovered that the client’s going to bed early was the cause of the restlessness.”
Employee Joris Care
MORE TIME FOR DIRECT CLIENT CARE
“After two departments have been live for quite some time, now employees are coming to us when they can also start using Kepler Vision Technologies’ fall prevention/fall detection. They see it as an opportunity to have to check fewer alarms as a result and be able to devote the time left over to direct client care.
This month, two more departments go live at Care in October.”
Employee Care in October
MORE PEACE OF MIND FOR CARE STAFF AND RESIDENTS
“Before, when we got an alarm, we didn’t know what to expect. Had someone fallen, was help needed or was it a false alarm because the comforter was hanging next to the bed? With the new system, we get different types of reports and that gives both us and the residents more peace of mind.”
Employee Care Location Coach House
DOUBT-FREE ALARMS
“It’s easy to think your solution is excellent. You save the nursing staff time in many ways, which only serves to monitor. Kepler Night Nurse gives the staff precisely the information they need. It’s impressive how accurate the analysis works.
Business Development Manager, Konica Minolta
CASE STUDY CARE CENTER OCTOBER
9 OctOBER facilities have been helped to improve safety, reduce and eliminate risks
THE SCENARIO
Oktober is an elderly care provider operating in the Kempen area of the Netherlands, concerned with maintaining the well-being and dignity of clients in their care. As such, they are constantly searching for ways to reduce risk, increase safety, and ensure their care staff can do the best possible job efficiently. Oktober looks after 600 clients across 9 care facilities.
In elderly care, falls are a persistent and often unavoidable problem, with the majority of over 65s experiencing one or more falls yearly. Falls in older adults can often be severe, resulting in functional decline, reduced quality of life, and in extreme cases, even death – with all of these outcomes more likely if they are left untreated for long periods.
THE SOLUTION
Traditional methods of monitoring the well-being of patients as regards falls range from regular in-person checks, CCTV, motion detectors, wearables, and pressure pads. Oktober used motion detectors to monitor when patients experienced falls in their rooms. While the system produced alerts when clients fell, it could not distinguish between a fall or any other movement (e.g., moving in bed), having far more alarms than staff could react to.
Oktober began upgrading its monitoring solution by implementing Kepler Vision’s AI-enabled “Kepler Night Nurse,” – which detects falls by analyzing live camera feeds in consenting clients’ rooms. It sends alerts to staff whenever a fall is detected. This allows staff to respond to falls in seconds while eliminating the vast majority of false alarms they would otherwise need to react to – freeing up staff time to focus on other aspects of proactive care.
Alwin van Deuren – Healthcare Innovation Consultant Oktober:
The danger presented to elderly people in care from simply falling cannot be overstated. Even mild falls can have profound long-term consequences for our patients if left unattended, but care staff cannot be everywhere. Kepler Night Nurse solves this problem by ensuring that staff can attend to patients the moment they are needed, without wasting time checking on patients unnecessarily.
Because of how it benefits not only patients but those who look after them, staff have embraced the technology from the start as a way to reduce the ‘alarm fatigue’ created by poor experiences with alarm systems in the past. The Kepler Night Nurse provided the healthcare professionals with more time and opportunity to focus on residents in need of extra attention. Responses from patients have been positive as well. Kepler Night Nurse helps them feel safer and improves their sense of privacy because healthcare providers no longer have to check up on them for no reason.
RESULTS
Throughout a trial period, a sample group of 16 clients produced over 1500 alarms between the hours of 11pm to 7pm when monitored with traditional motion detectors over a week. The introduction of the Kepler Night Nurse reduced this to 30 alarms in the first implementation – identifying falls, leaving the bed, going to the bathroom, etc. – with every actual fall correctly detected by the system and promptly responded to.
CONSIDERATION OF PRIVACY
As the Kepler Night Nurse uses AI monitoring of live camera feeds to check on clients, each client was given the choice if they wanted to be monitored in this way. 100% of clients at Oktober facilities elected to have Kepler enabled monitoring cameras in their rooms to guarantee the immediate response they ensured in the instance of a fall.
FOR KEPLER NIGHT NURSE:
- Clients at risk of being left for hours after fall
- Staff burned out from responding to hundreds of false alarms
- Genuine falls missed by outdated systems
AFTER KEPLER NIGHT NURSE:
- Clients and families confident in receiving immediate care after a fall
- Staff freed up to focus on other aspects of caregiving
- All genuine falls identified and responded to in minutes
CASE STUDY CARE CENTER OCTOBER
Oct. 9 facilities have been helped to improve safety, reduce and eliminate risks
The scenario
October is an elderly care facility in the Kempen region dedicated to the well-being and dignity of the clients they care for. As such, they are constantly looking for ways to reduce risk, increase safety and ensure that their healthcare staff can do their jobs as well and efficiently as possible. October provides 600 clients in 9 care facilities
In senior care, falls are a persistent and often unavoidable problem: The majority of people over 65 experience one or more falls each year. Falls in the elderly can often be severe, resulting in functional decline, reduced quality of life and, in severe cases, even death.
The solution
Traditional methods of monitoring patients’ well-being related to falls range from regular personal checkups, CCTV, motion detectors, wearables and pressure pads. October used motion detectors to track when patients had fallen into their rooms. Although the system gave alerts when clients fell, it could not distinguish between a fall and another movement (e.g., moving in bed), so it gave many more alerts than staff could respond to.
October began upgrading their monitoring solution by implementing Kepler Vision’s AI-enabled “Kepler Night Nurse” – which detects falls by analyzing live camera footage in clients’ consented rooms, and sends alerts to staff when a fall is detected. This allows staff to respond to falls within seconds and eliminates the vast majority of false alarms they would otherwise have to respond to, leaving staff more time for other aspects of proactive care.
Results
Over the course of a trial period, a group of 16 clients produced more than 1,500 alarms between 11 p.m. and 7 p.m. when monitored with traditional motion detectors over the course of a week. The introduction of Kepler Night Nurse brought this down to 30 alarms in the first implementation – identifying falls, leaving the bed, going to the bathroom, etc.
Privacy considerations.
Since Kepler Night Nurse uses AI monitoring from live camera feeds to monitor clients, each client was given the choice of whether they wanted to be monitored this way. 100% of October facilities’ clients chose surveillance cameras in their rooms with Kepler Vision Technologies to ensure immediate response in case of a fall.
For Kepler Night Nurse:
- Patients at risk of being left for hours after fall
- Staff burned out from responding to hundreds of false alarms
- Real falls missed due to outdated systems
After introducing Kepler Night Nurse:
- Patients and families rely on immediate care after falls
- Staff is freed up to focus on other aspects of care delivery
- All true falls are identified and responded to within minutes