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Considering on De-Identification Method of Personal Information for National Medical Institute by using correlation  

Yeo, Kwang Soo (한라대학교 컴퓨터공학과)
Kim, Chul Jung (한라대학교 컴퓨터공학과)
Lee, Jae Hyun (한라대학교 컴퓨터공학과)
Kim, Soon Seok (한라대학교 컴퓨터공학과)
Publication Information
Smart Media Journal / v.5, no.4, 2016 , pp. 83-89 More about this Journal
Abstract
Guidelines for protecting personal information are already in progress in USA, UK and other countries and announced many guideline like HIPPA. However In Our national environment, we does not have specialized guideline in national medical industries. This thesis suggest De-indentification method in South Korea by referring 'bigdata De-identification Guideline by Ministry of Science, ICT and Future Planning (2015)', ICO in U. K and IHE, NIST, HIPPA in U. S. A. We suggest also correlation between Guidelines. Corelation means common techniques in three guidelines (IHE, NIST, HIPPA in U. S. A). As Point becomes closer five points, We recommend that technique to national medical institute for De-Identification. We hope this thesis makes the best use of personal information's development in National medical institute.
Keywords
Personal Health Information; De-Identification; Privacy Protection; Sensitive Information; Medical Information;
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