Smart Medication Reminder System For Patient Using Internet Of Things

Medication adherence has grown into an important issue with the fast pace of modern living, often resulting in forgetfulness and failing to comply with recommended therapy schedules. This problem has been shown to have a negative impact on patient recovery time and overall treatments performance....

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Bibliographic Details
Main Author: Myrell Nicole, Roland
Format: Final Year Project Report
Language:English
English
Published: Universiti Malaysia Sarawak (UNIMAS) 2023
Subjects:
Online Access:http://ir.unimas.my/id/eprint/43018/1/Myrell%20Nicole%20Roland%20%2824pgs%29.pdf
http://ir.unimas.my/id/eprint/43018/2/Myrell%20Nicole%20Roland%20%28Fulltext%29.pdf
http://ir.unimas.my/id/eprint/43018/
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Summary:Medication adherence has grown into an important issue with the fast pace of modern living, often resulting in forgetfulness and failing to comply with recommended therapy schedules. This problem has been shown to have a negative impact on patient recovery time and overall treatments performance. Simple approaches, including electronic reminders, have demonstrated potential in improving adherence to medicines. However, current approaches of monitoring patient medication adherence rely mainly upon patient self-reporting or manual recording methods, which lack precision and real-time data on consumption time. The objective of this research project is to develop a smart medication reminder system that solves those patient compliance problems. There are three objectives to this project. First, existing medication reminder systems will be investigated to learn more regarding their capabilities and constraints. Secondly, a contrast study will be conducted to evaluate the feasibility of the proposed smart medication reminder system in comparing to existing approaches. Moreover, a user-friendly and effective smart pill box will be designed, which will be integrated with the Blynk platform and a mobile application in order to provide patients with a comprehensive medication reminder system. This system designed using Arduino IDE, Android Studio and Blynk platform. As a result, the proposed approach aims to improve patient adherence by giving appropriate and timely medication while also allowing caregivers to monitor medication adherence. This complete strategy is expected to improve health outcomes, ways of life, and overall standard of life for patients. Therefore, this research will bring an innovative approach to the issues associated with medication adherence, ultimately helping patients as well as doctors.