The Web technology has made the exchange of information among heterogeneous platforms possible with no added cost to end-users. Adding to this, it made it possible to access databases residing on servers in different geographic locations giving thus conceptors and programmers the possibility of making distributed applications with a fraction of the time needed before. This technology is therefore very well suited to medical applications which are normally multi-user, multiplatform, and data-intensive. In this paper, we present an application for epidemiological studies based on the Web technology and the reuse of common concepts in epidemiology to produce a generic model that can be parameterisable by the end-user to suit the needs of his study. This model is then applied to develop an application to optimise the collection and processing of nutritional data for a nation-wide epidemiological study concerning renal failure patients.