The Bristal at Lake Success and The Bristal at York Avenue are proud to be the first assisted living communities in New York State to implement the Foresite Predictive Health and Fall Management system.
Regular health monitoring and reducing the risk of potential falls both play a critical role in maintaining the well-being of aging seniors. The Bristal is pleased to offer the Foresite Predictive Health and Fall Management system to residents at our Lake Success and York Avenue communities.
Foresite is a cutting-edge platform that combines wireless sensors, artificial intelligence, deep machine learning, visual monitoring systems, and predictive analytics. These innovative systems and advanced technology are used to track resident health, help predict an elevated risk of falling, and provide immediate alerts should a fall ever occur.
Foresite offers a truly individualized monitoring and prevention solution for residents. The Foresite system discreetly observes each resident, learning their unique key health metrics in order to identify fall risks, as well as potential illnesses that could lead to hospitalization. The Foresite system offers residents and their families:
- INDIVIDUALIZED HEALTH MONITORING AND TREND ANALYSIS. Using artificial intelligence coupled with deep machine learning and predictive analytics, Foresite learns each resident’s unique movement patterns, as well as other key metrics such as heart and respiratory rate.
- ADVANCED WARNING. Based on data captured, Foresite is able to warn staff of potential emerging health concerns that could increase the risk of a fall or the need for hospitalization. This data allows for early intervention as needed.
- CONTINUOUS FALL DETECTION. The Foresite system includes wall-mounted sensors which immediately alerts a staff member if a fall should happen; providing peace of mind that someone is always there.
To learn more about the system, we invite you to watch this video from Foresite:
Forsesite: Frequently Asked Questions
Technology and Sensors
No, our technology is not what is traditionally referred to as a camera. The motion equipment is technically a 3D depth sensor. It only sees ‘blobs’ of colors; the image is not detailed enough to determine if a resident is a man or woman or if they are clothed or otherwise. Additionally, there is no one monitoring or watching the depth sensor images in real time.
There are 2 sensors in the rooms designed to collect data, none of them invade privacy or touch the individual. There is no person watching any data in real time. The data is sent to the computers which determine when to alert staff if there is a possible event or actual event happening so we can provide the best care earlier to our residents.
3D Depth Sensor (Fall/Motion Sensor)
These are mounted in the corner of the apartment, and also in the bathroom. They measure walking speed, the time it takes a resident to get up and move, step stride quality, and motion activity within the room – but does not depict or record actual images of the individual. The computer uses this data to determine is there is an elevated risk of a person to have a fall, or if a mobility condition is worsening, so we can intervene with preventative measure to try to reduce the risk of a fall in the near future. The depth sensors also provides an immediate alert to the staff if it detects a fall in any room so that we can respond and provide help as soon as possible.
Under the Mattress Bed Sensor
This measures heart rate, respiratory rate and sleep quality. The computer uses the data collected over time, as well as changes in new data to determine when to alert our staff if there is a possible risk of illnesses such as COVID-19, infections, or heart problems before your loved one begins showing symptoms.
The sensors use a combination of infrared technologies to accurately capture video. The depth sensor projects infrared light, not viewable to the human eye, onto objects within the depth sensor field of view and then utilizes an infrared detector to recognize these light patterns. The light patterns produce 3-dimensional (depth) images that Foresite processes to form privacy protected objects, including human silhouettes.
Institutional review boards have labeled the depth sensors as ‘privacy protecting’ since they process only depth images, not a traditional picture that you may be used to seeing from a standard motion camera. Below is a sample of what an image from our depth sensors looks likes. The silhouette of the individual can be seen here in yellow:
Note that there are no distinguishable features, and the resident’s privacy remains protected.
Foresite has enabled physical and virtual security controls to safeguard resident data in compliance with HIPAA standards. There are no identifiers and all data is transmitted via number algorithms. If an instant alert is sent to staff, it is dispatched by apartment number.
No, there is no interference with medical devices.
Yes – the under mattress sensor works on elevated bed angles. The sensor itself is thin and is positioned horizontally under the area of the resident’s upper body.
The Foresite system being down does not affect the regular day-to-day care that The Bristal regularly provides to residents. Foresite is designed to be an additional tool for the care team, and is not a diagnostic system. The sensors do rely on electricity, so if there is a loss of power to the area where the sensors are plugged in, they will not collect data or issue instant alerts during that outage.
If a piece of equipment becomes disabled, the system will alert the care team. If available, sensors from an unoccupied apartment may be used if there is immediate need. A replacement sensor will be ordered and installed on its arrival.
Predictive Health and Fall Risk Monitoring
The day-to-day operation of the system monitors predictive indicators such as heart rate, respiratory rate, restlessness, time in bed, activity patterns, and gait patterns like walking speed and stride length.
Instant alerts are dispatched by the system if a fall is detected (96% are), and if applicable to the resident, can also alert if someone exits there bed during the night.
Foresite is not a diagnostic tool. It does, however, detect even slight changes in the data that it collects – like respiratory rate, walking speed and heart rate. Based on years of collecting data and machine learning, the system is designed to determine what series of changes could potentially indicate illnesses like an infection, heart problems, pneumonia, a UTI or even COVID-19. Then the system detects these types of changes in the data that are indicative of an illness, staff is alerted.
While that is our ultimate goal, there is never a guarantee of preventing all falls or illnesses. The system analyzes that data that it collects daily, and will alert staff if there is possible risk of a fall or illness based on the changes that it detects. We can then initiate a plan to try to prevent the fall or the trip to the hospital.
Additionally, some falls and illnesses do not have early warning signs, so these are unfortunately not preventable. But if a fall or illness occurs, we will be able to share additional information about the individual that we would not know without this system.
The bed sensor may detect changes in heart rate and respiratory rate and utilize that data as a part of it’s predictive capabilities; however, it does not send real time alerts for sudden heart rate or respiratory rate changes.
The sensors send data to a computer where it is analyzed. No person is watching this data. Based on detected changes in the data, the system will alert the staff of possible elevated risk of the individual falling or of the onset of a possible health condition. This knowledge helps us intervene early and try to prevent either from occurring.
When we receive a predictive alert, we will look at the data and assess the resident. These are not diagnostic reports, they are giving the care team additional data to be able to provide the best care possible. If it is determined that intervention is needed, we will then speak to the family and/or the physician to determine what proactive care we can implement.
Should a predictive health warrant further action to adjust the course of care, the Director of Wellness or other designated staff will be able to share and review the data with you. Together with the resident’s physician, we can use the data to decide on the appropriate changes to the care plan.
Instant Alerts for Staff
Yes. One of the main capabilities of the Foresite system is to alert staff if a resident falls, based on data from the depth sensors. 96% of falls are alerted by the Foresite system.
The 3D depth sensors can detect motion, and have learned what a fall looks like. While no one is watching the images in real-time, the system is always monitoring, and the data is being processed and “read” by the system. As soon as the sensor detects a fall, alerts are sent to the staff through pagers and phones in our internal call system so that a staff member may quickly respond to the resident in need.
The two main types of alerts are immediate fall alerts and the predictive health alerts. Should a resident be at an elevated risk of a fall due to illness or injury, or if their individual care plan calls for it, the Foresite system is equipped to provide immediate alerts should a resident exit their bed during the night. This feature is available on a case-by-case basis depending on the resident’s needs.