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Medication Management and Reminders
Dr.P.S. Vachaspati, M. Pallavi
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Abstract: Medication adherence is an important challenge among patients, as missed or incorrect doses can lead to poor treatment outcomes and medication-related errors. This paper proposes a Smart Medication Reminder System enhanced with Machine Learning to help patients take their prescribed medicines correctly and on time. The proposed system provides timely medication reminders, maintains medication history, and analyzes patient medication patterns to predict the possibility of missed doses. It also enables family members and healthcare providers to monitor medication adherence and support patients when necessary. By combining automated reminders, medication tracking, and machine learning-based prediction, the system aims to improve medication adherence, reduce missed doses and medication errors, and provide a reliable solution for different groups of patients.
How to Cite:
[1] Dr.P.S. Vachaspati, M. Pallavi, “Medication Management and Reminders,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2026.13813
