보건의료 빅데이터를 활용한 연구방법 및 한의학 레지스트리의 필요성

• 영문명: Application of Health Care Big data and Necessity of Traditional Korean Medicine Data Registry
• 발행기관: 한방비만학회
• 저자명: 한경선(Kyung sun Han) 하인혁(In hyuk Ha) 이준환(Jun hwan Lee)
• 간행물 정보: 『대한한방비만학회지』제17권 1호, 46~53쪽, 전체 8쪽
• 주제분류: 의약학 > 한의학
• 파일형태: PDF
• 발행일자: 2017.06.30

영문 초록

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.

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Evidence-based medicine Registries Big data