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Review
. 2024 Jun 14:10:20552076241258663.
doi: 10.1177/20552076241258663. eCollection 2024 Jan-Dec.

Evaluation of health factors on artificial intelligence and the internet of things-based older adults healthcare programmes

Jong In Kim  1 , Gukbin Kim  2
Affiliations
Review

Evaluation of health factors on artificial intelligence and the internet of things-based older adults healthcare programmes

Jong In Kim et al. Digit Health. .

Abstract

Objective: This study evaluates Artificial intelligence and the Internet of Things-based older adults' healthcare programmes (AI·IoT-OAHPs), which offer non-face-to-face and face-to-face health management to older adults for health promotion.

Methods: The study involved 146 participants, adults over 60 who had registered in AI·IoT-OAHPs. This study assessed the health factors as the outcome of pre- and post-health screening and health management through AI·IoT-OAHPs for six months.

Results: Preand post-health screening and management through AI·IoT-OAHPs were evaluated as significant outcomes in 14 health factors. Notably, the benefits of post-cognitive function showed a twofold increase in older female adults through AI·IoT-OAHPs. Adults over 70 showed a fourfold increase in post-walking days, a threefold in post-dietary practice, and a twofold in post-cognitive function in the post-effects compared with pre via AI·IoT-OAHPs.

Conclusions: AI·IoT-OAHPs seem to be an effective program in the realm of face-to-face and non-face-to-face AI·IoT-based older adults' healthcare initiatives in the era of COVID-19. Consequently, the study suggests that AI·IoT-OAHPs contribute to the upgrade in health promotion of older adults. In future studies, the effectiveness of AI·IoT-OAHPs can be evaluated as a continuous project every year in the short term and every two years in the long term.

Keywords: Artificial intelligence and internet of things; health factors; health screening and management; older adults.

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Conflict of interest statement

The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
The framework of this study.
Figure 2.
Figure 2.
The 6-step process of artificial intelligence and the internet of things-based older adults’ healthcare programmes (AI·IoT-OAHPs).
Figure 3.
Figure 3.
Pre & post-health factors as a measure of artificial intelligence and the internet of things-based older adults’ healthcare programmes (AI·IoT-OAHPs).
Figure 4.
Figure 4.
Weight & Weight1.
Figure 5.
Figure 5.
Body mass index and body mass index1.
Figure 6.
Figure 6.
Grip strength and grip strength1.
Figure 7.
Figure 7.
Equilibrium and equilibrium1.
Figure 8.
Figure 8.
Systolic blood pressure and systolic blood pressure1.
Figure 9.
Figure 9.
Diastolic blood pressure and diastolic blood pressure1.
Figure 10.
Figure 10.
Blood sugar and blood sugar1.
Figure 11.
Figure 11.
Walking days for 30 min and walking days for 30 min1.
Figure 12.
Figure 12.
Moderate-intensity activity and moderate-intensity activity1.
Figure 13.
Figure 13.
Strength training of days and strength training of days1.
Figure 14.
Figure 14.
Dietary practice and dietary practice1.
Figure 15.
Figure 15.
Overall frailty and overall frailty1.
Figure 16.
Figure 16.
Social frailty and social frailty_1.
Figure 17.
Figure 17.
Cognitive fuction and cognitive fuction_1.
See this image and copyright information in PMC

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