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A few years ago, prompted by my role as the primary adult child responsible for the care of my 84- and 94-year-old parents, I asked a question: Could we predict and prevent some of the most common challenges in aging—urinary tract infections (UTIs), falls, and depression? Could we develop technology to monitor an older person’s daily activities, analyze the data, and then use it to enhance their care and wellness through proactive, preventive measures?
The answer to that question was how CarePredict was born: By deploying advanced technology powered by traditional artificial intelligence of machine learning and deep learning, CarePredict can recognize and analyze everyday gestures and activities. Then, CarePredicts turns them into actionable predictive insights that can help caregivers provide proactive, personalized care every single day.
Subtle Behavioral Changes Predict Health Declines
Today, older adults are entering senior living communities with increasingly complex health needs. They are living longer and often facing chronic conditions or multiple health challenges that require more attention and care. There is a heightened demand for not only a safe and supportive environment but also for proactive, personalized care as a standard.
Caregivers rely heavily on their ability to observe changes, recognize patterns, and respond quickly. But no one can be everywhere at once. That’s why the power of human observation, partnered with autonomous AI-powered augmented observation, provides proactive rather than reactive care and improved outcomes in senior living communities.
As I mentioned earlier, CarePredict grew from the desire to predict UTIs, falls, and depression. In analyzing behaviors that correlate with health declines, we learned that the duration of activities, such as bathroom trips, provides us with valuable information beyond just frequency. We discovered that an increase in nighttime visits is a strong indicator of potential falls during the next day.
Using insights like these, we were able to train our CarePredict system to recognize subtle behavioral changes and predict health declines before they occur rather than detect them as or after they happen. Staff members would likely not be able to observe these subtle changes; CarePredict can enable caregivers to provide proactive care, which reduces hospitalizations, improves health and wellness for residents, and increases resident stay length.
Reduce Staff Turnover by Creating Efficiencies
Caregiving can be deeply rewarding, offering an opportunity to build meaningful relationships and make a real difference in the lives of seniors. However, it can also be physically and emotionally demanding, with long shifts and the need for constant attentiveness, potentially leading to fatigue and burnout. Staff shortages and high turnover rates—estimated at around 40%, according to Argentum—remain an ongoing challenge, potentially putting strain on the quality of care senior living communities provide.
The need for sustainable solutions to staff turnover is becoming more pressing every day. And while there is a widespread shortage of caregivers, the population of adults aged 85 and older is expected to more than double by 2040, reaching nearly 14 million. This rapid growth makes it clear that senior living communities must prepare now to meet the increasing demand for quality care.
CarePredict creates efficiencies that help caregivers be more effective—one study found that the use of CarePredict resulted in a 37 percent faster staff response to resident alerts. By streamlining workflow processes and reducing the need for time-consuming manual checks and paperwork, CarePredict can free up staff to focus on what inspired them to work with seniors in the first place: connecting with residents, offering personalized support, and building meaningful relationships. That leads to better job satisfaction and higher retention. Argentum found that better staff engagement led to more satisfied residents and higher occupancy rates.
At its core, this isn’t just about leveraging new technology—it’s about reimagining what care can look like. It’s also not about choosing technology over people; it’s about creating a proactive, resident-centered approach where technology and human compassion work hand in hand to deliver better outcomes for everyone involved.
Proven Results with CarePredict Technology
I take great pride in witnessing the real-life impact of CarePredict. Two cases come to mind where the technology helped caregivers detect early-stage urinary tract infections (UTIs), which account for more than 15% of hospitalizations and 6.2% of deaths among those 65 and older. Early detection is crucial for reducing hospital stays and preventing kidney damage or sepsis.
At Bickford Senior Living in Omaha, Director Jill Colling and her team saw that two residents began to exhibit subtle changes—specifically, reduced nighttime sleep and increased restroom visit duration. While it might have taken staff two to three weeks to recognize an issue, the CarePredict system flagged these deviations within just two days. Swift medical intervention prevented infections from becoming severe and resulted in a 60% reduction in recovery time.
At Vista Prairie at Copperleaf in Minnesota, paying close attention to the subtle changes flagged by CarePredict in residents most at risk for UTIs allowed the team to step in before minor concerns turned into serious issues. When the CarePredict population summary dashboard flagged a multitude of residents for risk of UTI, the care team was quickly able to take proactive steps such as increased perineal hygiene, fluid intake, and other personalized care that led to a remarkable drop in UTI cases across the community.
In both cases, it wasn’t just about following data; it was about using those insights to take meaningful, proactive actions that genuinely improved the health and comfort of residents.
Predicting Falls with Autonomous Tracking
According to the Centers for Disease Control, more than one out of four older people fall each year, yet less than half tell their doctor. And falling once doubles your chances of falling again. The United States Senate Special Committee on Aging estimates that by 2030, there will be nearly seven deaths every hour and 59,000 deaths annually due to a fall. While detecting falls is a necessity, preventing falls is the better approach.
CarePredict can help decrease those numbers. In fact, in a pilot study, our AI-powered autonomous tracking reduced annual fall rates by 69% in senior living facilities. Fewer falls mean more independence for residents, postponing moves out of the current care setting, increasing length of stay, and keeping occupancy rates high.
CarePredict can help predict fall risk, and when you can better predict falls, your community is a step ahead of your competitors in offering residents and their families more peace of mind.
Redefining and Revolutionizing Resident Care
CarePredict is setting a new standard for proactive and personalized support. Our technology provides better senior care and outcomes while easing the workload for caregivers and fostering a positive workplace culture. The bottom line is enhanced operational efficiency, creating more sustainable and thriving senior living communities where everyone—residents, staff, and operators—benefits.
I invite you to watch some takeaways from my talk at the Value-Based Care conference for a deeper understanding of how AI-powered technologies work in CarePredict’s devices.
And be sure to download our eBook for real-world examples of how our innovative AI is driving measurable outcomes in senior living communities.
