Design and Implementation of Personal Health Record Systems based on Knowledge Graph

Personal health records (PHRs) present an increasing significance for individual healthcare management. However, Lack of an effective personal health record (PHR) system prohibits the widespread use of PHRs. In this paper, we propose a novel approach to design the knowledge graph of medical information and to implement an effective PHR system to support individual healthcare management. Compared to other studies, this paper pays more attention to the implementation of the PHR system rather than theoretical research. Semantic transformation methods are provided to transform the rational medical records in hospitals' database to the semantic data. Semantic integration methods are proposed to realize the data integration between the PHR system and other hospital information systems. Applying web ontology language and Jena rules, six parts of the medical data are represented in the knowledge graph based on existing related ontologies and clinical data in hospitals. Upon the knowledge graph, system architecture is proposed for the implementation of the PHR system.