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

  • Journal of Korean Medicine for Obesity Research
  • Abbr : J Korean Med Obes Res
  • 2017, 17(1), pp.46-53
  • Publisher : The Society of Korean Medicine for Obesity Research
  • Research Area : Medicine and Pharmacy > Korean Medicine
  • Published : June 30, 2017

Kyungsun Han ORD ID 1 하인혁 2 LEE JUN HWAN ORD ID 3

1동국대학교
2자생의료재단 자생척추관절연구소
3한국한의학연구원

Accredited

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.

Citation status

* References for papers published after 2022 are currently being built.