ENFORCING PATIENT PRIVACY ASSURANCE POLICY: A PRIVACY VIOLATION DETECTION AND RESPONSE SYSTEM.

We discuss the design of a patient privacy assurance system through the development of a privacy violation detection and response system (pvdrs) generator. This design collects evidence on patient privacy violations throughout an e-health environment and involves a belief fuser, a classifier, and a memoryless fuzzy incident responder. The telemedicine system’s privacy assurance policy, its current risk profile, and training data constitute input streams feeding the pvdrs. The system is designed to produce an incident response that health providers feasibly adopt to improve the e-health system's risk position as indicated in the system’s privacy assurance policy. We do not present a prototype for the pvdrs generator but we provide sufficient details on the credal and pignistic schemes for the fuser and the classifier, needed to develop the pvdrs generator.