Song Tae-Min, Ryu Seewon
Statistics and Information Research Department, Korea Institute for Health and Social Affairs, Sejong, Korea.
Department of Health Policy and Healthcare Management, Inje Institute of Advanced Studies, Seoul, Korea.
Healthc Inform Res. 2015 Jan;21(1):3-9. doi: 10.4258/hir.2015.21.1.3. Epub 2015 Jan 31.
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.
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.
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.
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.
我们回顾了发达国家医疗保健和社会服务大数据分析的应用情况,随后设计了韩国此类分析的框架。
我们回顾了发达国家实施医疗保健和社会服务大数据分析的现状,以及韩国卫生与福利部(政府3.0)所采用的策略。我们在国家层面制定了医疗保健和社会服务部门大数据的概念框架。作为一个具体案例,我们设计了自杀舆情社会大数据分析的流程和方法。
发达国家(如美国、英国、新加坡、澳大利亚,甚至经合组织和欧盟)都在强调大数据的潜力,并将其作为解决长期存在问题的工具。基于现任政府的基于信息通信技术的政策和卫生与福利部的战略目标,制定了医疗保健和社会服务部门的大数据策略。我们分别提出了医疗保健和福利服务部门大数据分析的框架,并为它们暂定了名称:“健康风险分析中心”和“综合社会福利服务网络”。通过将其应用于韩国自杀预防和主动检测,提出了社会大数据分析框架。
医疗保健和社会福利部门在大数据利用方面存在一些问题。因此,必须对这些问题进行研究,以便得出完善且切实可行的解决方案。