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

보건의료 빅데이터를 활용한 연구방법 및 한의학 레지스트리의 필요성

  • 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)
  • 한경선 (한국한의학연구원 임상연구부) ;
  • 하인혁 (자생의료재단 자생척추관절연구소) ;
  • 이준환 (한국한의학연구원 임상연구부)
  • Received : 2017.05.10
  • Accepted : 2017.05.30
  • Published : 2017.06.30

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

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