- Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care
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Rajasekaran Rajkumar, Nallani Chackravatula Sriman Narayana Iyengar
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Osong Public Health Res Perspect. 2013;4(5):255-264. Published online October 31, 2013
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DOI: https://doi.org/10.1016/j.phrp.2013.09.004
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10,712
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11
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 Abstract
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- Objectives
The existing processes of health care systems where data collection requires a great deal of labor with high-end tasks to retrieve and analyze information, are usually slow, tedious, and error prone, which restrains their clinical diagnostic and monitoring capabilities. Research is now focused on integrating cloud services with P2P JXTA to identify systematic dynamic process for emergency health care systems. The proposal is based on the concepts of a community cloud for preventative medicine, to help promote a healthy rural community. We investigate the approaches of patient health monitoring, emergency care, and an ambulance alert alarm (AAA) under mobile cloud-based telecare or community cloud controller systems.
Methods
Considering permanent mobile users, an efficient health promotion method is proposed. Experiments were conducted to verify the effectiveness of the method. The performance was evaluated from September 2011 to July 2012. A total of 1,856,454 cases were transported and referred to hospital, identified with health problems, and were monitored. We selected all the peer groups and the control server N0 which controls N1, N2, and N3 proxied peer groups. The hospital cloud controller maintains the database of the patients through a JXTA network.
Results
Among 1,856,454 transported cases with beneficiaries of 1,712,877 cases there were 1,662,834 lives saved and 8,500 cases transported per day with 104,530 transported cases found to be registered in a JXTA network.
Conclusion
The registered case histories were referred from the Hospital community cloud (HCC). SMS messages were sent from node N0 to the relay peers which connected to the N1, N2, and N3 nodes, controlled by the cloud controller through a JXTA network.
- JXTA: A Technology Facilitating Mobile P2P Health Management System
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Rajasekaran Rajkumar, Narayana Iyengar Nallani Chackravatula Sriman
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Osong Public Health Res Perspect. 2012;3(3):165-169. Published online June 30, 2012
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DOI: https://doi.org/10.1016/j.phrp.2012.04.008
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1,380
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19
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2
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Abstract
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- 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.
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