Reliable medical recommendation systems with patient privacy
Proceedings of the 1st ACM International Health Informatics Symposium
AdPriRec: a context-aware recommender system for user privacy in MANET services
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
USAB'11 Proceedings of the 7th conference on Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society: information Quality in e-Health
Reliable medical recommendation systems with patient privacy
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
| Hi-index | 0.00 |
Advances in e-health bring new challenges with regard to the protection of sensitive patient data; an increasing number of applications require to share data with consumer healthcare services. Typically the providers of those services reside outside the traditional health care domain, where medical data protection laws (such as HIPAA) do not apply. Instead, technical means of protection should safeguard critical health data that is shared with third parties. In this paper, we show that cryptographic privacy-enhancing protocols are a key tool to protect the privacy of patients in upcoming consumer e-health services. In particular we focus on services offering health advice, allowing to locate specialists and supporting the formation of patient communities.