Big Data and Ethics: Medical Datasphere

The exponential digitization of medical data has led to a transformation of the practice of medicine. This development in particular raises new complex issues surrounding health ICT. The proper use of these communication tools - telemedicine, e-health, m-health, the medical Big data - should improve the quality of monitoring and management of patients for a system of information with a "human face". Faced with these challenges, the health information systems and ethical analyzes from an ethical angle the doctor-patient relationship, the sharing, transmission and storage of medical information, setting references for ethics for the digitization of medical information. Drawing on good practice recommendations closely related to values, this model develops tools for reflection and presents the keys to understanding the decision-making issues that take into account both technological constraints and the complex nature of human reality in medicine. 1) Initially defines Big Data applications in health2) Presents the ethical value of the medical datasphere via the description of a model of an ethical analysis of Big Data.3) Presents the recommendations and steps necessary for successful management and governance of personal health data, and determines what conditions are essential for the development of the study of Big Data.