Ontology Driven Smart Health Service Integration

The massive increase, in the Internet of Things applications, has greatly evolved technological aspects of human life. The drastic development of IoT based smart healthcare services have layout the smart process models to facilitate all stakeholders (e.g. patients, doctors, hospitals etc.) and made it an important social-economic concern. There are variety of smart healthcare services like remote patient monitoring, diagnostic, disease specific remote treatments and telemedicine. Many trending Internet of Health Things research and development are done in a very disjoint and independent fashion providing solutions and guidelines for variant diseases, medical resources and remote services management. These expositions work over many shared resources such as health facilities for patient and human in healthcare system.

This research discusses the ontology for merging methods to form an integrated platform with shared knowledge of smart healthcare services. The proposed process model creates an ontological framework of integrated healthcare services, which are firstly defined using ontologies and lately integrated over similarities, differences, dependencies and other semantic relations. The data and process requirements for service integration facility is derived from various smart healthcare services.

The proposed model is evaluated using two-step ontological modeling testing method, applied at the ontological framework of integrated smart health services. First evaluation step has targeted the model consistency validation using reasoning tool while querying tools are used to validate the retrieved data entities and relations among them for predefined use-cases.

The research concluded with a novel approach for smart health service integration using ontological modeling and merging techniques. The model efficiency enhancement and query optimization methods are listed in future tasks of the research.