Implementation of the IoT-Based Technology on Patient Medication Adherence: A Comprehensive Bibliometric and Systematic Review

• Main Authors: Ghozali, Muhammad Thesa, Addli, Mohammad Aasim, Osman, Maizura, Di, Yang
• Format: Article
• Language: English
• Published: Universiti Utara Malaysia Press 2023
• Subjects: T Technology (General)
• Online Access: https://repo.uum.edu.my/id/eprint/29904/1/JICT%2022%2004%202023%20503-544.pdf; https://doi.org/10.32890/jict2023.22.4.1; https://repo.uum.edu.my/id/eprint/29904/; https://e-journal.uum.edu.my/index.php/jict/article/view/20437; https://doi.org/10.32890/jict2023.22.4.1

The dynamic field of the Internet of Things (IoT) is constantly increasing, providing a plethora of potential integration across various sectors, most notably healthcare. The IoT represents a significant technological leap in healthcare management systems, coinciding with the rising preference for personalized, proactive, cost-effective treatment techniques. This review aimed to thoroughly assess the existing literature through a systematic review and bibliometric analysis, identifying untapped research routes and possible domains for further exploration. The overarching goal was to provide healthcare professionals with significant insights into the impact of IoT technology on Patient Medication Adherence (PMA) and related outcomes. An extensive review of 314 scientific articles on the deployment of IoT within pharmaceutical care services revealed a rising trend in publication volume, with a significant increase in recent years. Pertinently, from the 33 publications finally selected, substantial data support the potential of the IoT to improve PMA, particularly among senior patients with chronic conditions. This paper also comments on various regularly implemented IoT-based systems, noting their unique benefits and limitations. In conclusion, the critical relevance of PMA is highlighted, arguing for its emphasis in future discussions. Furthermore, the need for additional research endeavors is proposed to face and overcome existing constraints and establish the long-term effectiveness of IoT technologies in maximizing patient outcomes.