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http://dx.doi.org/10.15429/jkomor.2017.17.1.46

Application of Health Care Big data and Necessity of Traditional Korean Medicine Data Registry  

Han, Kyungsun (Clinical Research Division, Korea Institute of Oriental Medicine)
Ha, In-Hyuk (Jaseng Spine and Joint Research Institute, Jaseng Medical Foundation)
Lee, Jun-Hwan (Clinical Research Division, Korea Institute of Oriental Medicine)
Publication Information
Journal of Korean Medicine for Obesity Research / v.17, no.1, 2017 , pp. 46-53 More about this Journal
Abstract
Health care big data is thought to be a promising field of interest for disease prediction, providing the basis of medical treatment and comparing effectiveness of different treatments. Korean government has begun an effort on releasing public health big data to improve the quality and safety of medical care and to provide information to health care professionals. By studying population based big data, interesting outcomes are expected in many aspects. To initiate research using health care big data, it is crucial to understand the characteristics of the data. In this review, we analyzed cases from inside and outside the country using clinical data registry. Based on successful cases, we suggest research method for evidence-based Korean medicine. This will provide better understanding about health care big data and necessity of Korean medicine data registry network.
Keywords
Evidence-based medicine; Registries; Big data;
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