Journal article

Semantic privacy-preserving framework for electronic health record linkage

Yang Lu, Richard O Sinnott

TELEMATICS AND INFORMATICS | ELSEVIER | Published : 2018

Abstract

The combination of digitized health information and web-based technologies offers many possibilities for data analysis and business intelligence. In the healthcare and biomedical research domain, applications depending on electronic health records (EHRs) identify privacy preservation as a major concern. Existing solutions cannot always satisfy the evolving research demands such as linking patient records across organizational boundaries due to the potential for patient re-identification. In this work, we show how semantic methods can be applied to support the formulation and enforcement of access control policy whilst ensuring that privacy leakage can be detected and prevented. The work is i..

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Grants

Funding Acknowledgements

The ADDN project is funded by the Juvenile Diabetes Research Foundation. The AURIN project is funded by the Australian Government Department of Innovation. We gratefully acknowledge their support.