Evaluation of Health Factors on Artificial Intelligence and the Internet of Things-based Older Adults Healthcare Programmes

Overview

Journal Digit Health

Specialty Medical Informatics

Date 2024 Jun 17

PMID 38882246

Authors

Jong In Kim

Gukbin Kim

Affiliations

Soon will be listed here.

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.

Citing Articles

Integrating AI·IoT-OAHPs with existing elderly care systems.

Wu Y Digit Health. 2025; 11:20552076251317378.

PMID: 39877855 PMC: 11773517. DOI: 10.1177/20552076251317378.

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