Data integration for clinical decision support

초록

The key challenges in integration of biomedical data is to enable semantic interoperability between different types of medical records, healthcare information, sensing data and lifelog data. For the interoperability between data, it is common way to follow worldwide information standards and standards terminologies such as HL7/SNOMED CT. For the collection of data from different data sources we suggest integrated system architecture using Web Ontology Language (OWL) to generate intelligent biomedical knowledge base. To build an intelligent biomedical database, automatic knowledge curation method is used for auto correction and knowledge updates. These integrated smart knowledge base checks recent biomedical information in real-time and integrates new knowledge. © 2016 IEEE.

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