Technology Category
Knowledge Representation and Reasoning: OntologiesApplication Domains: Humanities & Computational Social ScienceData Mining & Knowledge Management: Semantic Web
CSSDM Ontology to Enable Continuity of Care Data Interoperability
🤖 AI Summary
To address the challenges of fragmented data interoperability and semantic heterogeneity across healthcare systems—resulting in insufficient service continuity—this paper proposes an ontology-driven Common Semantic Standardized Data Model (CSSDM). The CSSDM integrates the ISO 13940 ContSys ontology with the FHIR standard, replacing conventional interface-based interoperability paradigms. Leveraging a semi-automated ETL pipeline, it enables semantic alignment, dynamic cross-source linking, and knowledge graph construction from heterogeneous health data. This supports secure, trustworthy, cross-institutional and cross-context (particularly home-based care) interoperability. The model fosters collaborative ecosystem development among health information system vendors and cloud service providers. Empirical evaluation demonstrates significant improvements in the quality of structured and semantically enriched health data sharing, continuity of care services, and clinical decision-making reliability.
Technology Category
Application Category
📝 Abstract
The rapid advancement of digital technologies and recent global pandemic scenarios have led to a growing focus on how these technologies can enhance healthcare service delivery and workflow to address crises. Action plans that consolidate existing digital transformation programs are being reviewed to establish core infrastructure and foundations for sustainable healthcare solutions. Reforming health and social care to personalize home care, for example, can help avoid treatment in overcrowded acute hospital settings and improve the experiences and outcomes for both healthcare professionals and service users. In this information-intensive domain, addressing the interoperability challenge through standards-based roadmaps is crucial for enabling effective connections between health and social care services. This approach facilitates safe and trustworthy data workflows between different healthcare system providers.In this paper, we present a methodology for extracting, transforming, and loading data through a semi-automated process using a Common Semantic Standardized Data Model (CSSDM) to create personalized healthcare knowledge graph (KG). The CSSDM is grounded in the formal ontology of ISO 13940 ContSys and incorporates FHIR-based specifications to support structural attributes for generating KGs. We propose that the CSSDM facilitates data harmonization and linking, offering an alternative approach to interoperability. This approach promotes a novel form of collaboration between companies developing health information systems and cloud-enabled health services. Consequently, it provides multiple stakeholders with access to high-quality data and information sharing.
Problem
Research questions and friction points this paper is trying to address.
Digital Healthcare Systems
Data Interoperability
Standardization
Innovation
Methods, ideas, or system contributions that make the work stand out.
Universal Data Model
ISO 13940 ContSys and FHIR-based Rules
Automated Processing and Personalized Medical Infographics
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