Privacy-Preserving Access Control in Electronic Health Record Linkage
Y Lu, RO Sinnott, K Verspoor, U Parampalli
2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) | IEEE Explore | Published : 2018
© 2018 IEEE. Sharing aggregated electronic health records (EHRs) for integrated health care and public health studies is increasingly demanded. Patient privacy demands that anonymisation procedures are in place for data sharing. However traditional methods such as k-anonymity and its derivations are often over-generalizing resulting in lower data accuracy. To tackle this issue, we present the Semantic Linkage K-Anonymity (SLKA) approach supporting ongoing record linkages. We show how SLKA balances privacy and utility preservation through detecting risky combinations hidden in data releases.
The research reported in this paper is supported by the ADDN project funded by the Juvenile Diabetes Research Foundation and the VicHealth project funded by the Department of Health and Human Services, Victoria. We gratefully acknowledge their support.