Risk-Based De-Identification of Health Data

被引：26
作者：
El Emam, Khaled [1 ,2 ]
机构：
[1] Childrens Hosp Eastern Ontario, Res Inst, Ottawa, ON, Canada
[2] Univ Ottawa, Fac Med, Ottawa, ON K1N 6N5, Canada
来源：
IEEE SECURITY & PRIVACY | 2010年 / 8卷 / 03期
关键词：
REIDENTIFICATION;
D O I：
10.1109/MSP.2010.103
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article describes a method for assessing the overall risk of re-identification for a health data set and how that risk information can be used to decide how much to de-identify the data before it's disclosed. Such an approach ensures that the amount of distortion to the data is proportionate to the risk involved in disclosing a particular data set to a particular data recipient. © 2006 IEEE.
引用
收藏
页码：64 / 67
页数：4
相关论文
共 9 条
[1]  
[Anonymous], 2008, 25237 ISOTS
[2]  
DANKAR F, 2010, WORKSH PRIV AN INF S
[3]   Protecting privacy using k-anonymity [J].
El Emam, Khaled ;
Dankar, Fida Kamal .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2008, 15 (05) :627-637
[4]   A method for managing re-identification risk from small geographic areas in Canada [J].
El Emam, Khaled ;
Brown, Ann ;
AbdelMalik, Philip ;
Neisa, Angelica ;
Walker, Mark ;
Bottomley, Jim ;
Roffey, Tyson .
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2010, 10
[5]  
El Emam Khaled., 2009, OVERVIEW TECHNIQUES
[6]  
ELEMAM K, 2010, P WORKSH HIPAA PRIV
[7]  
Emam Khaled El, 2009, Can J Hosp Pharm, V62, P307
[8]  
Ochoa S., 2001, Reidentification of Individuals in Chicago's Homicide Database: A Technical and Legal Study
[9]  
SWEENEY L, 2001, COMPUTATIONAL DISCLO
1