IoT-Enabled Smart Medication Adherence Systems for Chronic Disease Management

Authors

  • Dr. John Smith Director of AI Integration in Healthcare, University of California, Davis, USA Author

Keywords:

IoT, smart medication adherence systems, chronic disease management, healthcare technology

Abstract

This paper examines the role of IoT-enabled smart medication adherence systems in enhancing chronic disease management. The growing prevalence of chronic diseases necessitates innovative approaches to improve medication adherence, which is crucial for effective treatment outcomes. IoT technology offers solutions that can significantly improve adherence rates through automated reminders, real-time monitoring, and data-driven insights. This paper discusses the key components of IoT-enabled smart medication adherence systems, their benefits, challenges, and implications for healthcare providers and patients. Additionally, it highlights the potential of these systems to revolutionize chronic disease management by empowering patients to take control of their health while enabling healthcare providers to deliver more personalized and effective care.

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References

Reddy, Byrapu, and Surendranadha Reddy. "Evaluating The Data Analytics For Finance And Insurance Sectors For Industry 4.0." Tuijin Jishu/Journal of Propulsion Technology 44.4 (2023): 3871-3877.

Pulimamidi, Rahul. "Leveraging IoT Devices for Improved Healthcare Accessibility in Remote Areas: An Exploration of Emerging Trends." Internet of Things and Edge Computing Journal 2.1 (2022): 20-30.

Venigandla, Kamala, and Venkata Manoj Tatikonda. "Optimizing Clinical Trial Data Management through RPA: A Strategy for Accelerating Medical Research."

Reddy, Surendranadha Reddy Byrapu. "Ethical Considerations in AI and Data Science-Addressing Bias, Privacy, and Fairness." Australian Journal of Machine Learning Research & Applications 2.1 (2022): 1-12.

Sasidharan Pillai, Aravind. “Utilizing Deep Learning in Medical Image Analysis for Enhanced Diagnostic Accuracy and Patient Care: Challenges, Opportunities, and Ethical Implications”. Journal of Deep Learning in Genomic Data Analysis 1.1 (2021): 1-17.

Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.

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Published

16-04-2023

How to Cite

[1]
Dr. John Smith, “IoT-Enabled Smart Medication Adherence Systems for Chronic Disease Management”, Australian Journal of Machine Learning Research & Applications, vol. 3, no. 1, pp. 12–20, Apr. 2023, Accessed: Dec. 24, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/4

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