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An ostensive information architecture to enhance semantic interoperability for healthcare information systems
Semantic interoperability establishes intercommunications and enables data
sharing across disparate systems. In this study, we propose an ostensive information
architecture for healthcare information systems to decrease ambiguity caused by using
signs in different contexts for different purposes. The ostensive information architecture
adopts a consensus-based approach initiated from the perspective of information systems
re-design and can be applied to other domains where information exchange is required
between heterogeneous systems. Driven by the issues in FHIR (Fast Health
Interoperability Resources) implementation, an ostensive approach that supplements the
current lexical approach in semantic exchange is proposed. A Semantic Engine with an
FHIR knowledge graph as the core is constructed using Neo4j to provide semantic
interpretation and examples. The MIMIC III (Medical Information Mart for Intensive
Care) datasets and diabetes datasets have been employed to demonstrate the effectiveness
of the proposed information architecture. We further discuss the benefits of the separation
of semantic interpretation and data storage from the perspective of information system
design, and the semantic reasoning towards patient-centric care underpinned by the
Semantic Engine