Proactive Care Aided by Predictive Analytics
You might think that falls, ER visits and hospitalizations are an unexpected, inevitable result of getting older. You might think it’s especially true for those suffering from Alzheimer’s disease or another form of dementia. But the truth is that many of these events are frequently predictable and avoidable. Changes in the way you walk or how you sleep may indicate an increased risk of illness or injury. With the right access to detailed, accurate and timely information, we can see what’s happening sooner and take steps to prevent a potentially tragic event from occurring.
At The Claiborne at Gulfport Highlands, we use an innovative predictive analytics solution as part of our memory care program to help us proactively manage and anticipate residents’ needs. Without ever touching or compromising a resident’s privacy, we can continuously monitor more than 30 factors to determine early on if someone is at risk for a fall or illness. They include:
- Heart rate
- Respiratory rate
- Bed Restlessness
- Gait
- Motion
- Activity
By collecting and reviewing this data on a continuing basis, we can identify someone’s risk for certain types of illnesses or potential events and make changes in a resident’s care or environment to reduce those risks. And if something does occur, our technology enables us to better understand the circumstances and determine how to make sure it doesn’t happen again.
Responding when something bad happens is important, but wouldn’t you rather prevent it from happening in the first place? We would, and that’s what we’re aiming for—because that’s what’s best for our residents.
