한국인터넷방송통신학회논문지 (The Journal of the Institute of Internet, Broadcasting and Communication)

  • 제16권5호
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  • Pages.205-212
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  • 2016
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  • 2289-0238(pISSN)
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  • 2289-0246(eISSN)
한국인터넷방송통신학회 (The Institute of Internet, Broadcasting and Communication)
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한의 임상 정보의 효율적 통합을 위한 한의임상 데이터베이스 및 E-CRF 입력 시스템 구축

Implementation of database and E-CRF for efficient integration of Korean clinical data

  • 소지호 (한국한의학연구원 한의기반연구부) ;
  • 전영주 (한국한의학연구원 한의기반연구부) ;
  • 이범주 (한국한의학연구원 한의기반연구부)
  • 투고 : 2016.09.23
  • 심사 : 2016.10.07
  • 발행 : 2016.10.31
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초록

최근 의학기술의 발전과 더불어 서양의학 뿐만 아니라 한의학 분야에서도 임상 데이터에 대한 통합 및 표준화에 관한 연구가 활발히 진행 중에 있다. 유사한 임상시험 뿐만 아니라 전혀 다른 임상시험의 데이터도 하나의 표준에 맞춰 통합 구축된다면 통합된 의료데이터는 암묵적 한의의료지식 도출연구에 활용될 수 있다. 따라서 본 논문에서는 한의임상 정보를 효율적으로 저장하기 위하여 국제표준으로 널리 사용되는 CDISC 표준안을 기반으로 한의임상 데이터베이스를 구축하였고, 임상현장에서 편리한 데이터 입력을 위해 E-CRF를 구축하였다. 아울러, 실제 4개의 임상연구에 대한 데이터 저장과정을 거쳐 한의임상 데이터 통합에 대한 예를 보였다. 우리의 연구 결과는 통합된 데이터로부터 암묵적 의료지식도출을 위한 기반을 마련하였고, 데이터 통합을 통한 효율적 관리뿐만 아니라 반복적이거나 불필요한 임상시험 방지, 정제 된 데이터의 재배포를 통하여 연구의 편리성과 협업을 촉진할 수 있다.

Recently, researches for the integration and standardization of clinical data in the Western medicine and Korean medicine is in progress. If an integration of similar clinical data as well as heterogeneous clinical data is possible based on one standardization, we can able to derive implicit medical knowledge from integrated clinical data. In this paper, we implemented Korean clinical database based on internationally known CDISC standardization to efficiently store Korean clinical data and constructed E-CRF system for convenient data input in clinical sites. Furthermore, we showed example of an integration of Korean clinical data from 4 clinical sites. The results of our study will help to establish the foundation for the extraction of implicit medical knowledge from integrated clinical data. Also, our results may support efficient management through data integration, prevention of repetitive or unnecessary clinical trials, facilitation of collaborative study and convenient research through the distribution of refined clinical data.

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