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Research has shown that the general health and oral health of an individualare closely related. Accordingly, current practice of isolating the informationbase of medical and oral health domains can be dangerous and detrimental to thehealth of the individual. However, technical issues such as heterogeneous datacollection and storage formats, limited sharing of patient information and lackof decision support over the shared information are the principal reasons forthe current state of affairs. To address these issues, the following researchinvestigates the development and application of a cross-domain ontology andrules to build an evidence-based and reusable knowledge base consisting of theinter-dependent conditions from the two domains. Through example implementationof the knowledge base in Protege, we demonstrate the effectiveness of ourapproach in reasoning over and providing decision support for cross-domainpatient information.

Enhancing Automated Decision Support across Medical and Oral Health Domains with Semantic Web Technologies