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Big Data Analysis Framework for Healthcare and Social Sectors in Korea

Title
Big Data Analysis Framework for Healthcare and Social Sectors in Korea
Author(s)

Song, Tae-Min ; Seewon Ryu

Keyword
Big Data ; Delivery of Health Care ; Social Welfare ; Suicide ; Public Health Surveillance
Publication Year
2015-01-31
Publisher
대한의료정보학회
Citation
Healthcare Informatics Research, vol. 21, no. 1, pp. 3 - 9
Abstract
Objectives: We reviewed applications of big data analysis of healthcare and social services in developed countries, and subsequentlydevised a framework for such an analysis in Korea. Methods: We reviewed the status of implementing big dataanalysis of health care and social services in developed countries, and strategies used by the Ministry of Health and Welfareof Korea (Government 3.0). We formulated a conceptual framework of big data in the healthcare and social service sectors atthe 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 potentialof big data, and using it as a tool to solve their long-standing problems. Big data strategies for the healthcare and socialservice sectors were formulated based on an ICT-based policy of current government and the strategic goals of the Ministryof Health and Welfare. We suggest a framework of big data analysis in the healthcare and welfare service sectors separatelyand assigned them tentative names: ‘health risk analysis center’ and ‘integrated social welfare service network’. A frameworkof 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 onthese issues must be conducted so that sophisticated and practical solutions can be reached.
ISSN
2093-3681
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