PreprintCited by 7Internet of Things and AITechnology Use by Older AdultsIoT and Edge/Fog Computing

IoT-based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Open access
Ali, Syed Adnan, Khan, Rehan·2023·International Journal of Artificial Intelligence and Machine Learning

Abstract

This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyses the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.

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Crossref · 10.20944/preprints202303.0088.v1

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230 of 230 references verified0 citation errors · 0 not checkable

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  • A smart home system with IoT-enabled sensors permits patients with dementia to be monitored online, reducing hospital visits and improving their quality of life.

    “A smart home system with IoT-enabled sensors permits patients with dementia to be monitored online, reducing hospital visits and improving their quality of life.”

    From Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration (2024) · cites this paper as [97]

    Section 4.5 describes an IoT care system with a smart-home sensor that tracks a patient's location and alerts a caretaker if the patient wanders off; section 4.6 also discusses smart-home sensors for in-house monitoring. These passages support sensor-based home monitoring, but do not establish that it reduces hospital visits or improves quality of life for patients with dementia. (LLM, conf=0.83)

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Cites

2 retracted

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Research works printed but not linked: 8

  1. J. A. Leja, "Review of Vision and Aging: Crossroads for Service Delivery.
  2. I. of M. (US) D. of H. P. and D. Prevention, R. L. Berg, and J. S. Cassells, Falls in Older Persons: Risk Factors and Prevention. National Academies Press (US), 1992. Accessed: Jul. 07, 2022. [Online]. Available: https://www.ncbi.nlm.nih.gov/books/NBK235613/
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  7. 225"Pancreas Cancer-Associated Weight Loss | The Oncologist | Oxford Academic." https://academic.oup.com/oncolo/article/24/5/691/6439151 (accessed Jul. 08, 2022).
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Cited by

Authors
Ali, S. A., & Khan, R.
Affiliations
United Arab Emirates University (AE)
Corresponding author
Ali, Syed Adnan
Venue
International Journal of Artificial Intelligence and Machine Learning
Publisher
MDPI AG
Published
2023-03-06
Volume
4
Issue
1
Pages
94-121
ISSN
2789-2557 (ISSN-L)
OpenAlex
W4391695399
Cited by
7
References
230
Citations by year
2025: 3 · 2024: 3 · 2023: 1
FWCI
2.25
Type
journal article
Language
en
Open access
Locations
  • International Journal of Artificial Intelligence and Machine Learning (publishedVersion)
  • Preprints.org (acceptedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
Internet of Things, elderly healthcare, elderly care, remote patient monitoring, telemedicine, fall detection, medication management, data privacy, data security, population aging, quality of life

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