Use Predictive Learning Model to Tackle Data Breaches in Healthcare Domain

Healthcare data breaches are a growing problem that seriously threatens patient privacy, the reputation and trustworthiness of both public and private healthcare organizations. The aim of this paper is to elucidate the severity of healthcare data breaches, their potential impact on patient privacy and healthcare organizations, providing a predictive data breaches transformer conceptual architecture that can monitoring users actions that can result in possible system security violation and consequently in data breaches. At this regard, we introduce the description of a concept architecture for implementing a predictive data breaches transformer highlighting weakness and strengthens, and in the same time how the adoption of a predictive system can significantly limit the risk of the onset of possible data breaches by making the operator more aware in carrying out his activity in the processing of each type of data including personal health data.