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KMID : 0895520160200010041
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Journal of the Korean Society of Emergency Medical Technology
2016 Volume.20 No. 1 p.41 ~ p.55
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Analysis and utilization of emergency big data
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Lee Seong-Yeon
Kwon Yu-Jin
Lim Dong-Oh
Kim Min-Gyu
Park Hee-Jin
Kwon Hay-Ran
Ju Young-Cheol
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Abstract
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Emergency statistics for cities and provinces are currently derived using simple results of comparative numerical data, but there is a limit to the ability to analyze and compare deviations relevant to a specific city and province. This study aims to derive various correlations through statistical analysis of emergency and rescue data for Gwangju Metropolitan City and to develop an analytical model that can be applied nationwide. With the new statistical model, further detailed analysis is possible beyond simple evaluation of rescue data, through links to other institutions and analyses using keywords from Internet portal sites and social networks. Second, a system which that can analyze data that are not shared is required. Through this system, a large amount of data can be automatically analysed in real time. Third, the results should flow back for application in various policies. A real-time monitoring and management system should be created for abnormal patterns of disease. In addition, the results should be available to tailor services for individuals, communities, or specific organizations.
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KEYWORD
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Emergency big data, Analysis, Utilization
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