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Dynamic Integration of Mobile JXTA with Cloud Computing for Emergency Rural Public Health Care

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 f...

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Detalles Bibliográficos
Autores principales: Rajkumar, Rajasekaran, Sriman Narayana Iyengar, Nallani Chackravatula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845228/
https://www.ncbi.nlm.nih.gov/pubmed/24298441
http://dx.doi.org/10.1016/j.phrp.2013.09.004
Descripción
Sumario: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 N(0) which controls N(1), N(2), and N(3) 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 N(0) to the relay peers which connected to the N(1), N(2), and N(3) nodes, controlled by the cloud controller through a JXTA network.