TY - GEN
T1 - Information Quality Assessment for the Medical Wearable Devices
T2 - 14th International Conference on Innovations in Information Technology, IIT 2020
AU - Alrae, Rawhi
AU - Abutalib, Manar
AU - Nasir, Qassim
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - Wearable systems are promising Internet of Things (IoT) solutions that have attracted researchers' attention in the last decade. They are getting more consideration after the COVID-19 pandemic. Information Quality (IQ) is essential for obtaining value from wearable IoT systems. In our earlier work, we proposed a complete framework that systemically developed a total IQ assessment of the IoT systems. The framework was initially validated by conducting a comparison study. Therefore, this paper aims to validate the utility of the earlier framework by using a single-case experiment. This experiment studies the use of the framework in defining IQ assessment for medical wearable IoT devices. The methodology of the experiment involves conducting literature surveys. This paper successfully uses wearable systems as a case to test the assessment processes of the IQ framework for the IoT systems. However, the case effectively indicates the importance of the framework pillars: the data quality dimensions and the IoT elements by assessing the medical wearables.
AB - Wearable systems are promising Internet of Things (IoT) solutions that have attracted researchers' attention in the last decade. They are getting more consideration after the COVID-19 pandemic. Information Quality (IQ) is essential for obtaining value from wearable IoT systems. In our earlier work, we proposed a complete framework that systemically developed a total IQ assessment of the IoT systems. The framework was initially validated by conducting a comparison study. Therefore, this paper aims to validate the utility of the earlier framework by using a single-case experiment. This experiment studies the use of the framework in defining IQ assessment for medical wearable IoT devices. The methodology of the experiment involves conducting literature surveys. This paper successfully uses wearable systems as a case to test the assessment processes of the IQ framework for the IoT systems. However, the case effectively indicates the importance of the framework pillars: the data quality dimensions and the IoT elements by assessing the medical wearables.
KW - Data Quality Dimensions
KW - Information Quality
KW - Internet of Things
KW - IoT Elements
KW - Medical Wearable Devices
KW - Quality Management Framework
UR - http://www.scopus.com/inward/record.url?scp=85099447607&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099447607&partnerID=8YFLogxK
U2 - 10.1109/IIT50501.2020.9299104
DO - 10.1109/IIT50501.2020.9299104
M3 - Conference contribution
AN - SCOPUS:85099447607
T3 - Proceedings of the 2020 14th International Conference on Innovations in Information Technology, IIT 2020
SP - 88
EP - 95
BT - Proceedings of the 2020 14th International Conference on Innovations in Information Technology, IIT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 November 2020 through 18 November 2020
ER -