Hybrid data management system for mHealth
| Author | Abu-Elkheir, Mervat |
| Author | Heurtefeux, Karel |
| Author | Ali, Najah Abu |
| Author | Menouar, Hamid |
| Available date | 2025-10-16T08:33:55Z |
| Publication Date | 2015-01-20 |
| Publication Name | Proceedings of the 2014 4th International Conference on Wireless Mobile Communication and Healthcare Transforming Healthcare Through Innovations in Mobile and Wireless Technologies Mobihealth 2014 |
| Identifier | http://dx.doi.org/10.1109/MOBIHEALTH.2014.7015956 |
| Citation | M. Abu-Elkheir, K. Heurtefeux, N. A. Ali and H. Menouar, "Hybrid data management system for mHealth," 2014 4th International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare Through Innovations in Mobile and Wireless Technologies (MOBIHEALTH), Athens, Greece, 2014, pp. 242-245, doi: 10.4108/Mobihealth33544.2014.7015956. |
| ISBN | 978-1-63190-014-3 |
| Abstract | Mobile and wearable sensing technology stands to provide a wealth of information to healthcare providers, and allows them to envision systems with reduced costs, automated monitoring and evaluation, and overall improved healthcare services. However, the volume of data produced by such mobile and sensing technologies needs to be managed efficiently and continuously so as to realize its full potential in providing cutting-edge services. In this paper, we propose a mHealth data management system with the aim to provide near real-time operational an analytical services, while supporting long-term and offline processes and deep analytics. The components of the system will be discussed, and the potential workflows will be outlined. |
| Sponsor | This work was made possible by NPRP grant #NPRP4-553-2-210 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors. |
| Language | en |
| Publisher | IEEE |
| Subject | Data management IoT MHealth |
| Type | Conference |
| Pagination | 242-245 |
Files in this item
This item appears in the following Collection(s)
-
QMIC Research [307 items ]