Abstract
Researchers have focused on wearable devices as viable Internet of Things (IoT) solutions in the recent decade. After the epidemic of COVID-19, they are receiving increasing attention. Wearable Internet of Things (IoT) systems must have high information quality (IQ) to be useful. In earlier publications, we developed a comprehensive framework for systematically managing the total information quality of IoT systems. By performing a comparative study, the framework was first shown to be accurate and reliable. In the last publication, medical wearable systems were selected as a single-case experiment to test the framework’s usefulness by focusing on the assessment phase. This paper effectively uses the single case to test the rest of the framework phases: awareness and action. In addition, this work clearly illustrates the significance of the framework’s three pillars: data quality, IoT, and IQ management procedures.
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Alrae, R., Abu Talib, M., Nasir, Q. (2022). Information Quality Management for the Medical Wearable Devices: Validation Study. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer, Cham. https://doi.org/10.1007/978-3-031-14054-9_37
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