Innovative Design of Artificial Intelligence Enhanced App Functions for Remote Medication Reminders for Smart Wearable Devices

This study aims to design a remote medication reminder APP function for smart wearable devices for the elderly, and to enhance the personalized reminder and smart monitoring functions through artificial intelligence (AI). Its core objective is to solve the common problem of missed and misdosed medications in the elderly. This paper analyzes the limitations of existing medication reminders and proposes an innovative design concept. Emphasis is placed on a simple and intuitive user interface as well as artificial intelligence-driven remote monitoring and personalization. At the technical implementation level, this paper details the connectivity technology between the smart wearable device and the APP, the application of machine learning in personalized reminders, and the design of the database structure, and technical measures to protect user privacy. By combining aging-friendly design concepts with advanced technologies including AI and cloud computing, the safety and traceability of the medication process is ensured, which has a broad application prospect and social value.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icid64166.2024.11025094
Primary Topic
Advanced Computing and Algorithms
Type
article
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article

Innovative Design of Artificial Intelligence Enhanced App Functions for Remote Medication Reminders for Smart Wearable Devices

Tianshuang Zhang, Yalin Song
Advanced Computing and Algorithms
article

Innovative Design of Artificial Intelligence Enhanced App Functions for Remote Medication Reminders for Smart Wearable Devices

Tianshuang Zhang, Yalin Song
article en

Abstract

This study aims to design a remote medication reminder APP function for smart wearable devices for the elderly, and to enhance the personalized reminder and smart monitoring functions through artificial intelligence (AI). Its core objective is to solve the common problem of missed and misdosed medications in the elderly. This paper analyzes the limitations of existing medication reminders and proposes an innovative design concept. Emphasis is placed on a simple and intuitive user interface as well as artificial intelligence-driven remote monitoring and personalization. At the technical implementation level, this paper details the connectivity technology between the smart wearable device and the APP, the application of machine learning in personalized reminders, and the design of the database structure, and technical measures to protect user privacy. By combining aging-friendly design concepts with advanced technologies including AI and cloud computing, the safety and traceability of the medication process is ensured, which has a broad application prospect and social value.

Shenyang Jianzhu University (CN)
Openalex Percentile: Top 48%
Advanced Computing and Algorithms
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Innovative Design of Artificial Intelligence Enhanced App Functions for Remote Medication Reminders for Smart Wearable Devices — Tianshuang Zhang, Yalin Song · (2024) | TGRS Research Map | TGRS