E-health is one of the domains which will need more and more IoT solutions in the future, as it requires short delays for life-dependency situations and safe local storage spaces for privacy matters. The emergency context demands efficient communication and computing capacities, and the cloud vision as well as traditional TCP/IP way of communication cannot really suit these requirements. New approaches are currently used : the fog computing paradigm, which describe the IoT environment in a more relevant way than the cloud vision, provides new performances as low latency, local storage opportunities, end-to-user services. E-health fogs have attracted a lot of attentions. To realize the efficient communication, E-Health systems also introduce Content-Centric Network (CCN) approach, whose characteristics include quick response, content distribution, IoT oriented technology. Nowadays, the existing E-health fog or CCN are seen as separate and autonomous networks, but many applications could require that those E-health fog computing systems exchange data, share processing results, or subscribe to each other information flux. In this paper we propose a solution for E-health systems to communicate by combining fog computing and CCN to provide communication efficiency and local storage opportunities. Finally we use simulation to evaluate the delay performances of our proposal.