An Ontology-based Compliance Audit Framework for Medical Data Sharing across Europe

被引:2
|
作者
Rahmouni, Hanene [1 ,3 ]
Munir, Kamran [1 ]
Essefi, Intidhar [3 ]
Mont, Marco [2 ]
Solomonides, Tony [4 ]
机构
[1] Univ West England, Dept Comp Sci & Creat Technol, Bristol, Avon, England
[2] Hewlett Packard Labs, Cloud & Secur Lab, Palo Alto, CA USA
[3] Univ Tunis El Manar, Higher Inst Med Technol, Res Lab Biophys & Med Technol Tunis, Tunis, Tunisia
[4] NorthShore Univ Hlth Syst, Res Inst, Outcomes Res Network, Evanston, IL USA
关键词
Privacy; regulation; verification; audit; compliance; ontology; SWRL; health data; public clouds; GDPR;
D O I
10.34028/iajit/18/2/4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Complying with privacy in multi-jurisdictional health domains is important as well as challenging. The compliance management process will not be efficient unless it manages to show evidences of explicit verification of legal requirements. In order to achieve this goal, privacy compliance should be addressed through "a privacy by design" approach. This paper presents an approach to privacy protection verification by means of a novel audit framework. It aims to allow privacy auditors to look at past events of data processing effectuated by healthcare organisation and verify compliance to legal privacy requirements. The adapted approach used semantic modelling and a semantic reasoning layer that could be placed on top of hospital databases. These models allow the integration of fine-grained context information about the sharing of patient data and provide an explicit capturing of applicable privacy obligation. This is particularly helpful for insuring a seamless data access logging and an effective compliance checking during audit trials.
引用
收藏
页码:158 / 169
页数:12
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