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KMID : 0603720150210010003
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Journal of Korean Society of Medical Informatics
2015 Volume.21 No. 1 p.3 ~ p.9
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Big Data Analysis Framework for Healthcare and Social Sectors in Korea
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Song Tae-Min
Ryu See-Won
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Abstract
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Objectives: We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequently devised a framework for such an analysis in Korea.
Methods: We reviewed the status of implementing big data analysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfare of Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors at the national level. As a specific case, we designed a process and method of social big data analysis on suicide buzz.
Results: Developed countries (e.g., the United States, the UK, Singapore, Australia, and even OECD and EU) are emphasizing the potential of big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and social service sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministry of Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separately and assigned them tentative names: ‘health risk analysis center’ and ‘integrated social welfare service network’. A framework of social big data analysis is presented by applying it to the prevention and proactive detection of suicide in Korea.
Conclusions: There are some concerns with the utilization of big data in the healthcare and social welfare sectors. Thus, research on these issues must be conducted so that sophisticated and practical solutions can be reached.
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KEYWORD
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Big Data, Delivery of Health Care, Social Welfare, Suicide, Public Health Surveillance
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