Accepted for/Published in: JMIR Aging
Date Submitted: Apr 24, 2020
Date Accepted: Jul 28, 2020
Date Submitted to PubMed: Jul 29, 2020
“AI-Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Study.”
ABSTRACT
Background:
Wearables and AI-powered digital health platforms that utilize machine learning algorithms can autonomously measure a senior’s change in activity and behavior and may be useful tools for proactive interventions that target modifiable risk factors.
Objective:
The objective of this study was to analyze how an AI-powered digital health platform, wearable device, and location system could provide improved health outcomes for residents living in assisted living communities.
Methods:
A total of 490 older adults at six AL communities were observed over a 24-month period. Numerous facility and resident level outcomes were measured for the intervention and control group, including staff response time, hospitalization rate, fall rate, and length of stay (LOS). The intervention group consisted of 3 communities that utilized CarePredict (n=256) and the control group that consisted of 3 communities (n=234) that did not utilize CarePredict.
Results:
The data shows that CarePredict installed communities (+CP) exhibited a 40% lower hospitalization rate, 64% lower fall rate, and 67% greater length of stay than control communities (-CP). The +CP communities exhibit a 40% improvement in staff acknowledge alert time and 37% improvement in staff reach resident time.
Conclusions:
The AI-powered digital health platform provides the community staff with actionable information regarding each resident’s activities and behavior. Staff can use this information to identify seniors at increased probability for a health decline, intervene much earlier, and take pre-emptive action to protect the senior against falls, UTIs, and other conditions that left untreated could result in hospitalization. In summary, the use of this system in AL communities can contribute to faster staff response times, reduced hospitalizations and falls, and increased length of stay. Clinical Trial: Informed consent was obtained from all of the communities and participants included in the study.
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