k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Auditing compliance with a Hippocratic database
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
A Formalization of HIPAA for a Medical Messaging System
TrustBus '09 Proceedings of the 6th International Conference on Trust, Privacy and Security in Digital Business
XPref: a preference language for P3P
Computer Networks: The International Journal of Computer and Telecommunications Networking - Web security
On Privacy-aware Delegation of Personal Data using Digital Watermarking
IIH-MSP '09 Proceedings of the 2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
IEEE Transactions on Knowledge and Data Engineering
Usability Failures and Healthcare Data Hemorrhages
IEEE Security and Privacy
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In this paper, the authors present a novel Web based architecture of a medical registry with enhanced protection of personal data of the patients. The goal of a medical registry is to gather experience from clinical practice concerning a disease or treatment e.g., hip replacement and to improve the future treatments by applying adequate methods and selecting optimal products. The processing of health data is strictly regulated by laws protecting patients' privacy. The presented solution is based on the physical separation of identity related data and clinical data and combining the information from both sources on the screen of the user, according to their permissions. The anonymized clinical data can be used for research whereas the risk of de-anonymizing the patient is significantly reduced. This solution has been verified by an operation of a deployed real-life application.