Quick Search:

Privacy-Preserving Access Control in Electronic Health Record Linkage

Lu, Yang ORCID: https://orcid.org/0000-0002-0583-2688, Sinnott, Richard O., Kain Verspoor, Kain Verspoor and Udaya Parampalli, Udaya Parampalli (2018) Privacy-Preserving Access Control in Electronic Health Record Linkage. In: 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, pp. 1079-1090

Full text not available from this repository.

Abstract

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.

Item Type: Book Section
Status: Published
DOI: https://doi.org/10.1109/TrustCom/BigDataSE.2018.00151
Subjects: H Social Sciences > HA Statistics
Q Science > Q Science (General) > Q325 Machine learning
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.9.H85 Human-Computer Interaction; Virtual Reality; Mixed Reality; Augmented Reality ; Extended Reality
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > ZA Information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases
School/Department: School of Science, Technology and Health
URI: https://ray.yorksj.ac.uk/id/eprint/5255

University Staff: Request a correction | RaY Editors: Update this record