
Research Article
IoMT and Data Privacy in Alzheimer’s Care for Older Adults: A Systematic Review
@ARTICLE{10.4108/eetpht.11.6170, author={Md Mehedi Hasan and Fahim Islam Anik and Juan Rodriguez-Cardenas and Richard Beiswanger and Masrura Tasnim and Mary Ramos and Nazmus Sakib}, title={IoMT and Data Privacy in Alzheimer’s Care for Older Adults: A Systematic Review}, journal={EAI Endorsed Transactions of Pervasive Health and Technology}, volume={11}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2025}, month={9}, keywords={Data Privacy, Smart Health, Alzhemier's , Older Adults, Internet of Medical Things (IoMT)}, doi={10.4108/eetpht.11.6170} }
- Md Mehedi Hasan
Fahim Islam Anik
Juan Rodriguez-Cardenas
Richard Beiswanger
Masrura Tasnim
Mary Ramos
Nazmus Sakib
Year: 2025
IoMT and Data Privacy in Alzheimer’s Care for Older Adults: A Systematic Review
PHAT
EAI
DOI: 10.4108/eetpht.11.6170
Abstract
INTRODUCTION: The use of medical Internet of Things (IoT) devices becomes essential in everyday healthcare routines as the older adults confront an increasing risk of cyber victimization because of Alzheimer's illness. Despite the myriad benefits of IoT devices, escalating concerns about data privacy and cybersecurity loom larger, given the cognitive and physical decline associated with Alzheimer's. OBJECTIVES: Focusing on the challenges faced by older adults, especially those with Alzheimer's, this study aims to investigate the data privacy and security risks and advocates for specialized education and user-friendly interfaces to narrow the digital divide. METHODS: Eighteen peer-reviewed articles were selected based on predefined inclusion criteria, focusing on older adults or Alzheimer's patients, IoMT in healthcare, and data privacy or security concerns. Searches were conducted in PubMed and IEEE Xplore, following PRISMA 2020 guidelines. A structured data extraction matrix informed by Grounded Theory was used to chart and analyze key themes across selected studies, including types of vulnerabilities, consequences, and proposed solutions. RESULTS: Recurring vulnerabilities included social engineering, data breaches, weak authentication, and poor access control. Effective mitigation strategies identified include patient and caregiver education, improved informed consent procedures, robust encryption, and data governance reforms. CONCLUSION: Smart home technology and the digitization of the healthcare field have shown great promise in caring for Alzheimer's patients, positively affecting their ability to live on their own safely. They also create new challenges with the need to protect the sensitive information they gather. Our research emphasizes developing strategies that can create awareness and educate patients and their caregivers to further reduce the risks related to data security.
Copyright © 2025 Md Mehedi Hasan et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.