1. Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness using a Personalized Second-generation Digital System.
- Author
-
Bayatra A, Nasserat R, and Ilan Y
- Subjects
- Humans, Chronic Disease drug therapy, Precision Medicine methods, Reminder Systems, Medication Adherence, Artificial Intelligence
- Abstract
Introduction: Low adherence to chronic treatment regimens is a significant barrier to improving clinical outcomes in patients with chronic diseases. Low adherence is a result of multiple factors., Methods: We review the relevant studies on the prevalence of low adherence and present some potential solutions., Results: This review presents studies on the current measures taken to overcome low adherence, indicating a need for better methods to deal with this problem. The use of first-generation digital systems to improve adherence is mainly based on reminding patients to take their medications, which is one of the reasons they fail to provide a solution for many patients. The establishment of a second-generation artificial intelligence system, which aims to improve the effectiveness of chronic drugs, is described., Conclusion: Improving clinically meaningful outcome measures and disease parameters may increase adherence and improve patients' response to therapy., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)
- Published
- 2024
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