An Intelligent Inference Engine using Ontology based Clinical Pathways for Diagnosis and Management of Diabetes

Abstract

'Clinical pathways' for Diabetes Management has attracted the attention of researchers in the last decade. Ontologies have been in use to represent knowledge pertaining to clinical pathways and to arrive at critical patient-specific decisions. This paper proposes an ontological framework to represent the diabetes related data. The main contribution of the paper is in developing an inference model that helps a General Practitioner (GP) to arrive at the most appropriate clinical pathway for a patient specific condition. The mobile application developed for this purpose makes it very useful for a medical practitioner in a remote rural location to follow a systematic process to arrive at patient specific decisions, based on the Ontological inferences received from the remote server.