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JXTA: A Technology Facilitating Mobile P2P Health Management System
Rajasekaran Rajkumar, Narayana Iyengar Nallani Chackravatula Sriman
Osong Public Health Res Perspect. 2012;3(3):165-169.   Published online June 30, 2012
DOI: https://doi.org/10.1016/j.phrp.2012.04.008
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  • 2 Crossref
AbstractAbstract PDF
Objectives
Mobile JXTA (Juxtapose) gaining momentum and has attracted the interest of doctors and patients through P2P service that transmits messages. Audio and video can also be transmitted through JXTA. The use of mobile streaming mechanism with the support of mobile hospital management and healthcare system would enable better interaction between doctors, nurses, and the hospital. Experimental results demonstrate good performance in comparison with conventional systems. This study evaluates P2P JXTA/JXME (JXTA functionality to MIDP devices.) which facilitates peer-to-peer application+ using mobile-constraint devices. Also a proven learning algorithm was used to automatically send and process sorted patient data to nurses.
Methods
From December 2010 to December 2011, a total of 500 patients were referred to our hospital due to minor health problems and were monitored. We selected all of the peer groups and the control server, which controlled the BMO (Block Medical Officer) peer groups and BMO through the doctor peer groups, and prescriptions were delivered to the patient’s mobile phones through the JXTA/ JXME network.
Results
All 500 patients were registered in the JXTA network. Among these, 300 patient histories were referred to the record peer group by the doctors, 100 patients were referred to the external doctor peer group, and 100 patients were registered as new users in the JXTA/JXME network.
Conclusion
This system was developed for mobile streaming applications and was designed to support the mobile health management system using JXTA/ JXME. The simulated results show that this system can carry out streaming audio and video applications. Controlling and monitoring by the doctor peer group makes the system more flexible and structured. Enhanced studies are needed to improve knowledge mining and cloud-based M health management technology in comparison with the traditional system.

Citations

Citations to this article as recorded by  
  • Optimal mobile device selection for round-robin data exchange via adaptive multi-criteria decision analysis
    Young-Long Chen, Chih-Kun Ke
    Computers & Electrical Engineering.2016; 54: 119.     CrossRef
  • An Optimal Mobile Service for Telecare Data Synchronization using a Role-based Access Control Model and Mobile Peer-to-Peer Technology
    Chih-Kun Ke, Zheng-Hua Lin
    Journal of Medical Systems.2015;[Epub]     CrossRef

PHRP : Osong Public Health and Research Perspectives