An ontology-based decision support system for interventions based on monitoring medical conditions on patients in hospital wards

Abstract

In this project we present our research and implementation of an ontology-based clinical decision support system, which is supported by Sørlandet Sykehus Kristiansand. We discuss the generic technology of designing decision support systems as well as the practical implementation in our project. Firstly, we design the system structure using UML in Eclipse, based on which, the system is built in Protégé using ontology techniques. And then patients’ information and clinical rules are added in the system as the form of individuals. Finally, SPARQL query is used to query for the decisions based on the calculation of patients’ information and the clinical rules. Our system can continuously monitor vital signs parameters of patients and calculate a risk triage at several levels. In collaboration with valuable experiences from medical expertise, our system helps medical personnel at hospital wards to improve patient care and therefore is of great values in clinics. Keywords: clinical decision support system (CDSS), ontology, OWL, Protégé, patients’ information, SPARQL query