An interactive visual exploration of medical data for evaluating health centres

It is well known that visualisation techniques are suitable for an effective exploration of large data sets. However, not much research has been carried out on applying visualisation techniques in the analysis of medical data apart from image data. Medical information systems collect a vast amount of monitored clinical data coming from specialised machines. The task of accessing and interpreting the portions of data that are relevant to the identification of a specific clinical problem can become a hard task. In order to address this problem, we propose to enhance medical information systems by providing an interactive visual exploration of large data sets. In this paper, we introduce our approach and show its use in order to enhance the quality and efficiency of health services in haemodialysis centres.