Ontological Personal Healthcare Using Medical Standards

Abstract

According to The Center for Managing Chronic Diseases [1], 7 out of 10 deaths among Americans each year are from chronic diseases. Chronic diseases generally do not come with a cure, which require long-term supervision, monitoring, and various treatments that necessitate coordination among medical professionals. Information and Communication Technology (ICT) may help improve such process and be able to facilitate diverse clinical decision-making processes. In an attempt to achieve improved and evidence based care, we propose to make the connection between patients and clinicians using relevant standards. In the approach, patients collect relevant medical data periodically using personalized mobile healthcare system (PMHS) and share the data with clinical institutions to be compliant with the meaningful use of medical records. The collected medical data and measurement results are analyzed and the analysis result may be used to come up with personalized recommendations for preventing healthy people to become chronic disease patient. The ontology focuses on organizing measurement results semantically. For semantic use of the collected medical records, we have used Protégé-OWL for building ontology and used SPARQL query to retrieve meaningful information from the patient-provided medical data.

In this paper, we propose an ontology-based framework called personalized disease tracking framework (PDTF) for monitoring and managing chronic diseases such as diabetes.