September 27, 2017 | Written by: Susann Keohane
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Every room in your home reveals unique insights about your daily activities.
By leveraging a network of connected devices, sensors and AI-based systems, we have solved the old adage, “If those walls could talk.” Now, they now can’t stop talking.
We can learn about individual patterns for sleeping, eating, exercising, cooking, bathing, and how often you connect with family, friends, and the community – all balanced with security and privacy.
IBM believes it is these patterns that will help improve care for our aging population. By leveraging cognitive eldercare solutions we can transform the way seniors age in place and prolong their independence.
The aging of society will have unprecedented effects on healthcare, the economy, and individual quality of life.
For the first time in history, people over 65 will outnumber children under five. Nearly 40 percent of older adults develop disabilities, and many more suffer from chronic physical and mental diseases that require intensive monitoring and care.
Technology and Eldercare
The Internet of Things and artificial intelligence will help us improve proactive care, reduce risk of injury, and increase the ability for elders to remain where they are most familiar and content – in their homes.
With inexpensive, consumer-grade sensors placed throughout a home, we can now capture the heartbeats of daily living. For instance, if you could see or hear an elder running the water, opening the refrigerator, lighting the stove, and walking repeatedly across the kitchen, what would you conclude?
They’re cooking, of course. That’s an obvious deduction, but with important implications.
Knowing an elder is cooking could say a lot about his or her nutrition and social life, and enables us to draw conclusions about whether they’re entertaining or feeling isolated.
Keeping Our Loved Ones Safe
The challenge comes from trying to scale such insights to make similar observations for every room throughout the home.
At IBM, my job is to determine which sensors to deploy and where to place the sensors, then analyze the sensor data, correlate it with any other dataset available, search for patterns, and identify warning signals. If I am successful, then we’ll enable family and professionals to more effectively monitor elders from afar and keep them safe and independent.
Senior care providers, such as our partner Avamere Family of Companies, want a solution that generates new insights that could reduce risk, lower cost of care, and significantly improve the elder’s quality of life.
To meet these objectives, research tells us there are six Activities of Daily Living (ADLs) patterns – toileting, bathing, eating/cooking, sleeping, “transferring”/mobility, and dressing – that are key to understanding how well an elder is managing aging in place and the right level of care required.
For instance, it’s amazing what we have been able to learn from an elder’s toileting.
Understanding toileting behavior and routines isn’t just about diagnosing incontinence or dehydration, it’s about making connections from certain behaviors to an increased risk of developing afflictions, such as urinary tract infections. Early detection may reduce emergency room visits, which keeps residents from costlier skilled nursing facilities.
By using the information from flush and motion sensors, we can now detect when the event happened, and can also predict when we expect it to happen again – per individual – and look for anomalies and outliers that give us warning signals.
Internet of “Caring” Things
Realizing what we can model and analyze with consumer-grade sensors – even those placed in a bathroom – illustrates the power of “listening to the walls”…for elders, caregivers, and families.
Unfortunately, these sensors are not going to help anyone stay young, but our they can help keep our loved one’s safer and more independent for as long as possible.
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