A Semantic System for Diagnoses Suggestion and Clinical Record Management

This is the authors' abstract. We don't add key points for this paper.

The increasing life expectations together with the low birth rates lead to radically change the demographic structure in European Union. The increasing average life expectancy is increasing the number of healthy elderly people and consequently the incidence of chronic diseases with a dramatic increase of healthcare costs. The demographic changes heavily impact on the public budgets, a decreasing number of health personnel, higher incidence of chronic diseases and growing demands and expectations from citizens for higher quality services and social care. The main outcome is that e-Health applied to the existing healthcare systems can increase their efficiency, improve quality of life and reduce costs providing alternatives to the traditional disease management and allowing disease prevention. Several research efforts are devoted to provide innovative and not-intrusive e-Health systems. In this work we present a methodology for diagnosis decision supporting based on big data analysis of available medical data. This methodology is aimed to assist medical personnel in the patients diagnosis making.