Introducing big data analysis using data from National Health Insurance Service
- Authors
- Ahn, EunJin
- Issue Date
- Jun-2020
- Publisher
- KOREAN SOC ANESTHESIOLOGISTS
- Keywords
- Cohort; Correlation; Customized research database; Database; Korea; National Health Insurance; Operational definition; Public health service; Sample research database; Statement
- Citation
- KOREAN JOURNAL OF ANESTHESIOLOGY, v.73, no.3, pp 205 - 211
- Pages
- 7
- Journal Title
- KOREAN JOURNAL OF ANESTHESIOLOGY
- Volume
- 73
- Number
- 3
- Start Page
- 205
- End Page
- 211
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/44177
- DOI
- 10.4097/kja.20129
- ISSN
- 2005-6419
2005-7563
- Abstract
- Among the different providers of health care big data in Korea, the data provided by the National Health Insurance Database include the medical information of all the citizens who have subscribed to medical insurance. As such, the data have representativeness and completeness. In order to conduct research using these National Health Insurance Database data, it is necessary to understand the characteristics of the claim data to avoid various biases, and to control confounding variables when making various operational definitions in the planning stage of the research. Moreover, without a proper understanding of the big data, it is possible during the analysis and data interpretation to mistakenly interpret the correlation between variables as a causal relationship. Therefore, in order to help advanced medical science, which reflects the medical reality such as medical expenses and number of hospital visits by clearly recognizing and analyzing the characteristics and limitations of health care big data, this author has dealt with the use of data sharing services provided by the National Health Insurance Database.
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