Semantic remote patient monitoring system

We propose an automated and personalized remote patient monitoring (RPM) system, which is applied to care homes and is dependent on the manipulation of semantics describing situations during patient monitoring in ontological models. Decision making in RPM is based on reasoning performed upon ontologies, which secures the delivery of appropriate e-health services in care homes. Our working experiment shows an example of preventive e-healthcare, but it can be extended to any situation that requires either urgent action from healthcare professionals or a simple recommendation during RPM. We use Semantic Web technology and OWL/SWRL-enabled ontologies to illustrate the proposal and feasibility of implementing this RPM system as a software solution in pervasive healthcare. It will be of interest to healthcare professionals, who can directly shape and populate the proposed ontological model, and software engineers, who would consider using OWL/SWRL when creating e-health services in general.