An Ostensive Information Architecture to Enhance Semantic Interoperability for Healthcare Information Systems
Hua Guo (),
Michael Scriney () and
Kecheng Liu ()
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Hua Guo: Queen Mary University of London
Michael Scriney: Queen Mary University of London
Kecheng Liu: Queen Mary University of London
Information Systems Frontiers, 2024, vol. 26, issue 1, No 17, 277-300
Abstract:
Abstract 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.
Keywords: Healthcare information systems; Semantic interoperability; Digital healthcare; FHIR; Ostensive approach; Graph database; Ontology graph; Knowledge graph (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10796-023-10379-5
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