Research Article
Hybrid Data Management System for mHealth
@INPROCEEDINGS{10.4108/icst.mobihealth.2014.257470, author={Mervat Abu-Elkheir and Najah Abu Ali and Karel Heurtefeux and Hamid Menouar}, title={Hybrid Data Management System for mHealth}, proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"}, publisher={IEEE}, proceedings_a={MOBIHEALTH}, year={2014}, month={12}, keywords={data management mhealth iot}, doi={10.4108/icst.mobihealth.2014.257470} }- Mervat Abu-Elkheir
Najah Abu Ali
Karel Heurtefeux
Hamid Menouar
Year: 2014
Hybrid Data Management System for mHealth
MOBIHEALTH
IEEE
DOI: 10.4108/icst.mobihealth.2014.257470
Abstract
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 analytically services, while supporting long-term and offline processes and deep analytic. The components of the system will be discussed, and the potential workflows will be outlined.
