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Preserving Privacy in E-health Systems Using Hippocratic Databases
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Safeguarding patients’ private information is one of the most challenging issues in the design and implementation of modern e-Health systems. Recent advances in Hippocratic Databases (HDB) show a promising direction towards the enforcement of privacy policies in e-Health systems. This paper tackles issues in applying the HDB design to e-Health systems. More specifically, we design an architecture for integrating APPEL preferences with HDB; we extend the original HDB design to support fine-grained privacy authorizations demanded by patients; we adapt the design to a multi-dimensional model; we also propose a design for hierarchical authorizations. Finally, we discuss implementation issues and justify our designs with experimental results.
Citation:
Yuan Hong, Shuo Lu, Qian Liu, Lingyu Wang, Rachida Dssouli, "Preserving Privacy in E-health Systems Using Hippocratic Databases," compsac,pp.692-697, 2008 32nd Annual IEEE International Computer Software and Applications Conference, 2008
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