QUALITATIVE EVALUATION OF DISTRIBUTED CLINICAL SYSTEMS SUPPORTING RESEARCH TEAMS WORKING ON LARGE-SCALE DATA

Abstract

In this paper, five contemporary scalable systems to support medical research teams are presented. Their functionalities extend from heterogeneous unstructured data acquisition through large-scale data storing, to on-the-fly analyzing by using robust methods. Such kinds of systems can be useful in the development of new medical procedures and recommendation rules for decision support systems. A short description of each of them is provided. Further, a set of the most important features is selected, and a comparison based-on it is performed. The need for high performance computing is emphasized. A general discussion how to improve the existing solutions or develop new ones in the future is also presented.