Authors: Dr. Harika Prasad
Abstract: AI technologies are transforming medication adherence by enabling personalized, real-time interventions that address the complex factors influencing patients’ ability to follow prescribed regimens. By leveraging machine learning, predictive modeling, natural language processing, and data integration from diverse sources—including electronic health records, wearable devices, and patient-reported outcomes—AI systems can monitor adherence patterns, predict patients at risk of non-compliance, and deliver tailored reminders and support through virtual health coaches and chatbots. These innovations improve patient engagement, facilitate early intervention, and empower healthcare providers with actionable insights, ultimately enhancing treatment outcomes and reducing healthcare costs. However, successful implementation requires careful consideration of ethical, privacy, and regulatory challenges to ensure fairness, transparency, and patient trust. As AI continues to evolve, its integration into medication adherence management promises to revolutionize personalized care, offering scalable solutions that improve quality of life for millions worldwide.
DOI: http://doi.org/10.61137/ijsret.vol.11.issue3.127
