Hybrid data management system for mHealth

Author

Abu-Elkheir, Mervat ; Heurtefeux, Karel ; Abu Ali, Najah ; Menouar, Hamid

Author_Institution

Fac. of Comput. & Inf. Sci., Mansoura Univ., Mansoura, Egypt

fYear

2014

fDate

3-5 Nov. 2014

Firstpage

242

Lastpage

245

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.

Keywords

biomedical telemetry; body sensor networks; data analysis; health care; medical information systems; mobile computing; patient monitoring; real-time systems; telemedicine; automated evaluation; automated monitoring; data management system component; data management system workflow; deep analytics; healthcare provider; healthcare service; healthcare system cost reduction; hybrid data management system; long-term process; mHealth data management system; mobile sensing technology; offline process; real-time analytical service; real-time operational service; wearable sensing technology; Biomedical monitoring; Databases; Monitoring; Real-time systems; Sensor systems; Smart phones; IoT; data management; mHealth;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Mobile Communication and Healthcare (Mobihealth), 2014 EAI 4th International Conference on

Conference_Location

Athens

Type

conf

DOI

10.1109/MOBIHEALTH.2014.7015956

Filename

7015956