an ontology based approach in health information systems: blood test ontology example
Abstract
Health domain is a complex and distributed research area, where different institutions and people take and provide service, at the same time. Therefore, the health data about a patient is completely distributed among doctors, clinics, hospitals, pharmacies and insurance companies. To share and reuse the distributed, well-structured and semantically rich clinical data with the appropriate permissions from anywhere is one of the major areas that the research of information systems focused in healthcare domain in recent years. The semantic web provides a technological infrastructure with representing the meaning of data and reasoning new information from the existing knowledge for the healthcare domain. The blood, as the life fluid, gives hints to the clinicians about a patient's general health status by analyzing the ingredients in. The results of blood tests contain lots of information that can be used by different clinics. In the diagnostic phase, analyzing the blood for the same tests repeatedly delays to start the treatment process and increases the cost. The Blood Test Ontology is developed to model the blood tests semantically that is done in the health field and also to define information related with the blood and the blood tests as well as the relationships between them. The ontology in this work is developed with the aim to be used in the health information system, which should provide the querying, sharing and reusing the personalized the blood test result of the patients, as a knowledge base. The Blood Test Ontology is supported by the medical information standards to be able to interoperable with the other medical ontologies that are developed in the health.
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