Skip to main content

ORIGINAL RESEARCH article

Front. Med.

Sec. Family Medicine and Primary Care

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1557054

This article is part of the Research Topic Digital Health Innovations for Patient-Centered Care View all 15 articles

Adoption Barriers and Facilitators of Wearable Health Devices with AI Integration: A Patient-centred Perspective

Provisionally accepted
  • Qassim University, Buraidah, Saudi Arabia

The final, formatted version of the article will be published soon.

    Wearable devices that incorporate artificial intelligence (AI) have revolutionised healthcare through continuous monitoring, early detection, and tailored management of chronic diseases. This cross-sectional study analysed patients' perceptions, trust, and awareness of AI-driven wearable health technologies, emphasising the identification of primary facilitators and barriers to adoption. A total of 455 participants, comprising individuals with chronic conditions, were recruited through convenience and stratified sampling methods. Data were collected via an online questionnaire that included demographic questions, Likert-scale items, and multiple-choice questions to evaluate awareness of particular AI features and the functionalities of wearable devices. The findings indicated predominantly positive perceptions, with most participants concurring that wearable devices improve proactive care, facilitate remote consultations, and deliver precise health insights. Concerns regarding technical failures, data accuracy, and the potential reduction of human interaction were significant. No notable demographic differences were identified; however, participants with chronic conditions expressed more favourable perceptions. The research emphasises the necessity of user education, technical reliability, and professional oversight for the successful integration of AI-powered wearables in the management of chronic diseases.

    Keywords: Wearable health devices, Artificial intelligence (AI), Chronic disease management, patient perceptions, Digital Health

    Received: 07 Jan 2025; Accepted: 21 Mar 2025.

    Copyright: © 2025 Alzghaibi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Haitham Alzghaibi, Qassim University, Buraidah, Saudi Arabia

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

    Research integrity at Frontiers

    Man ultramarathon runner in the mountains he trains at sunset

    94% of researchers rate our articles as excellent or good

    Learn more about the work of our research integrity team to safeguard the quality of each article we publish.


    Find out more