Vol. 4 No. 2 (2024): Hong Kong Journal of AI and Medicine
Articles

IoT-enabled Medication Adherence Monitoring for Chronic Disease Management

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  • Dr. Wang Lin
Dr. Wang Lin
Professor of Computer Science, Shanghai Jiao Tong University, China

Published 23-09-2024

Keywords

  • IoT,
  • Sensors
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Dr. Wang Lin, “IoT-enabled Medication Adherence Monitoring for Chronic Disease Management”, Hong Kong J. of AI and Med., vol. 4, no. 2, pp. 16–24, Sep. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://hongkongscipub.com/index.php/hkjaim/article/view/31

Abstract

The management of chronic diseases relies heavily on patients' adherence to prescribed medications. However, non-adherence remains a significant challenge, leading to poor health outcomes and increased healthcare costs. IoT-enabled systems offer promising solutions to monitor medication adherence in real-time and provide interventions to improve patient compliance. This paper presents a comprehensive review of IoT-enabled medication adherence monitoring systems for chronic disease management. We discuss the key components of these systems, including sensors, connectivity, data analytics, and user interfaces. Additionally, we explore the benefits, challenges, and future directions of IoT in improving medication adherence and enhancing the management of chronic diseases.

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