Generation of semantic data from guidelines for rational use of antibiotics

Abstract

Rational use of antibiotics has become an important issue in medical practice and health care. Clinical guidelines are one of the most useful knowledge resources for rational use of antibiotics. As the monitoring of rational use of antibiotics involves complex knowledge of guidelines analysis and management process, traditional way of human intervention is not sufficient to monitor rational use of antibiotics effectively. Therefore, we introduce the semantic technology to semi-automatically transform the knowledge contained in the clinical guidelines and get the semantic data. In this paper, we firstly investigate how to obtain the semantic data from the guidelines knowledge which are described in natural language, then propose an approach to transformation of guidelines knowledge into semantic data, which can be loaded into SeSRUA, a Semantically-Enabled System for Rational Use of Antibiotics. Finally we report how to implement the proposed approach in SToGRUA, a system of Semantic Transformer of guidelines for Rational Use of Antibiotics, as a tool of SeSRUA.