Improving Senior Care
As our parents and grandparents age the tempo of their lives change. The process is inexorable and subtle. When we step up to care for a loved one, we find that the human eye easily misses subtle cues that, if detected, would have spurred us to take action in providing help before a trip to the hospital was necessary. Here starts the story and the promise of CarePredict.
Whether you were an individual caregiver, like our founder, or a multi-community senior living operator, technology was failing you, until now. It was good at monitoring things – like doors opening or chairs moving – but unable to detect exactly who was doing what or identify subtle changes in a senior’s daily patterns, which could indicate a significant change in health or functional status.
Consumer wearables were a step towards personalization. But step counts, pulse rates, etc. were insufficient at revealing meaningful changes in the daily patterns of seniors, because they lacked context and only tracked limited activities.
Measuring Activities of Daily Living
Activities of Daily Living (ADLs) make up the patterns of our lives. ADLs like eating, drinking, bathing, toileting, walking, sitting, sleeping and more, all form our individual patterns; which change before many health or functional problems emerge.
CarePredict has developed a sophisticated array of sensors within a stylish, wrist-worn wearable for seniors to detect these changes – Tempo. Using 24/7 data from the Tempo wearable, coupled with smart indoor location tracking, deep machine learning and predictive data analytics, CarePredict understands the daily tempo of each individual. As subtle, but meaningful, changes occur in these daily patterns – like abnormal repetition of activities, increased bathroom use, or increased sedentary behavior – CarePredict detects and reports these shifts which could lead to health problems.
By deeply understanding the ADL patterns of each senior and the changes in those patterns, CarePredict provides powerful predictive analytics of impending declines in health or functional status. Today, these actionable insights highlight patterns that could lead to conditions, such as an increasing fall risk, urinary tract infections, malnutrition and depression.