AI IN MEDICATION ADHERENCE AND MONITORING ABSTRACT
Praveen Kumar, D. and Jeganath, S (2025) AI IN MEDICATION ADHERENCE AND MONITORING ABSTRACT. In: ICCPPR-SPS-158, 25 & 26 September 2025.
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Abstract
Artificial intelligence (AI) is transforming medication adherence and monitoring by leveraging
advanced technologies to address the global challenge of medication non-adherence, which affects
approximately 50% of patients with chronic conditions. AI-powered systems utilize machine
learning algorithms, computer vision, and natural language processing to provide real-time
monitoring through smartphone applications, smart pill bottles, wearable sensors, and video-based
verification platforms. These technologies achieve remarkable improvements in adherence rates,
with studies demonstrating 6.7% to 32.7% increases compared to standard care approaches. AI
systems can predict future non-adherence patterns, identify high-risk patients, and deliver
personalized interventions through conversational interfaces and automated reminders. Digital
platforms using facial recognition and computer vision algorithms achieve up to 100% adherence
rates in monitored groups versus 50% in control groups. While challenges include data privacy,
implementation costs, and the need for larger long-term studies, AI represents a promising solution
for enhancing medication adherence through precision-targeted interventions and continuous
patient monitoring.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Pharmaceutical Chemistry and Analysis > Pharmaceutics |
| Domains: | Pharmaceutics |
| Depositing User: | Mr IR Admin |
| Date Deposited: | 03 Sep 2026 08:23 |
| Last Modified: | 03 Sep 2026 08:23 |
| URI: | https://ir.vistas.ac.in/id/eprint/22452 |
