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Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems


Thien-An Nguyen, Nhien-An Le-Khac, Tahar Kechadi

Publication Type: 
Refereed Conference Meeting Proceeding
Privacy preservation is an essential requirement for information systems and also it is regulated by law. However, existing solutions for privacy protection during data analysis have some limitations when applied to data-driven electronic health record (EHR) systems such as data distortion and flexibility. This paper presents a novel approach to deal with this issue that is a privacy-aware protocol for healthcare data analysis. This approach uses special secured views. For the compatibility with data-driven EHR systems, the protocol is proposed together with a high-level middleware architecture. The suggested solution is discussed based on system requirements and specification to demonstrate its advantages.
Conference Name: 
International Conference on Future Data and Security Engineering
Digital Object Identifer (DOI): 
Publication Date: 
National University of Ireland, Dublin (UCD)
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