Research on Multidimensional Modelling for Personal Health Record

Personal Health Records (PHRs) have characteristics of continuous high speed growth and rich value, which are the prerequisite and foundation for implementing services of intelligent health care, personalized medicine, remote treatment, disease prevention and prediction, and the strong support for the hospital, health care institutions, insurance companies and other organizations to maintain personal health. PHR contents have multidimensional features such as time, region, population and role orientation, which have different semantic meaning and application value. As the fundamental element of semantic web technology architecture, ontology provides an expressive framework for reusing, sharing, representing and reasoning knowledge, and has been widely applied in modelling biological, medicine and health care fields. This paper analyzes the multidimensional features of PHRs, and investigates an approach for modelling PHRs based on current existing health record standards by using ontology modelling methods and theoretical frameworks.