A virtual doctor prototype for quick diagnosis and secure health information exchange

The general field of health monitoring and health information exchange has garnered a keen research and market interest for the past few decades. This is indicated by the development of a plethora of wearable health monitoring systems, as well as research efforts and projects concerning the security issues in health information exchange. In this paper, a virtual doctor prototype for quick diagnosis and secure health information exchange is presented. The measured physiological data that are acquired by a wearable health monitoring system are modeled as words of a fuzzy formal language and are used by a trained and personalized neural network to diagnose the patient´s health status. Moreover, we present a secure architectural scheme, which secures the transmitted data and uses the medical doctors´ biometrics to authorize them and give them access to these data.