We first wrote about CarePredict in August 2014 when the company was running a crowdfunding campaign for its Tempo project. The project design was conceived as an aging-in-place solution for seniors who did not want to move from their homes to a care facility. Tempo was a system based on a wearable tracking watch detectable by sensors located in the home. Location data was transmitted to and analyzed in the cloud. After establishing a baseline for daily activities, the program’s software would alert family members or caregivers when the timing (hence “Tempo) of the wearer’s activities changed significantly.
Skip forward four and a half years and CarePredict won the Consumer Technology Association’s CTA Foundation Accessibility Award during CES 2019. The company’s basic tracking, Tempo, and cloud-based analytics and reporting concept remain the same as in 2014, now with many enhancements. CarePredict has solutions focused on Assisted Living and Memory Care, Home Care, Independent Living and CCRC’s (continuing care retirement communities), and Seniors and Their Loved Ones regardless of their place of domicile.
Now described as an end-to-end solution, CarePredict has four components: a wearable tracker, smart indoor location tracking, deep machine learning, and advanced predictive analytics. Indoor location trackers and the CarePredict system focus the analytics on the individual’s ADLs (activities of daily living). The system knows the rooms in which a users ADLs occur and how long they take. For example, Tempo builds a model of user eating, drinking, bathing, grooming, brushing teeth, toileting, walking, sitting, sleeping, and more. If the ADLs change and the wearer engages in unexpected or even inappropriate ADLs based on location, the CarePredict system takes notice and alerts involved parties. Two-way audio via the wearable allows caregivers and users to speak directly to check in or offer help. Because some seniors can tend to wander, CarePredict supports geo-fencing to send alerts when wearers get near or cross a virtual fence. Caregivers can also locate find a wandering user via the Tempo’s exact location sensor.
In a one-sentence summary statement, today’s CarePredict sounds nearly identical to the 2014 version. That model integrity underscores the logical match between problem and solution which has matured and expanded in the ensuing years.
