@inproceedings{13fa6c6242944dbb8917fb9e61a2d017,
title = "Evaluating MediBetter: A Mobile Application for Health Monitoring and Medication Management",
abstract = "This study introduces MediBetter, a mobile application designed to empower patients undergoing routine medication in health monitoring and medication adherence. It is a mobile application designed to serve as a supportive health technology for patients to monitor their health status and manage their routine medication. It offers three main features: text-based daily self health report, AI-based summarization of the health report, and medication taking reminder. To evaluate the quality of generated summaries generated by both the user and AI (ChatGPT), we conducted human expert evaluation process. Furthermore, we also evaluated the usefulness of existing features in the app. The experiment results show that ChatGPT-generated summaries outperformed user-generated ones, demonstrating superior informativeness, coherence, fluency, consistency, and contradiction handling. Participants found the app's features highly useful for health monitoring and medication adherence, with strong agreement on their utility.",
keywords = "AI, mobile application, summary, usefulness",
author = "Bian Yang and Fauzi, \{M. Ali\} and Wicaksono, \{Galih Wasis\}",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2024 ; Conference date: 27-05-2024 Through 29-05-2024",
year = "2024",
month = may,
day = "23",
doi = "10.3233/SHTI240075",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "132--136",
editor = "Mauro Giacomini and Bernd Blobel and Pierangelo Veltri",
booktitle = "pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health",
}