CSSDM Knowledge Graph to Enable Continuity of Care Data Interoperability

The swift progress of digital technologies and recent global pandemic events have intensified the focus on leveraging these technologies to improve health care service delivery and workflow, particularly during crises. Action plans that consolidate existing digital transformation programs are being re-viewed to establish core infrastructure for sustainable health care solutions. For instance, reforming health and social care to personalize home care can reduce the need for treatment in overcrowded acute hospital settings, improving experiences and outcomes for both health care professionals and service users. In this data-driven field, tackling the interoperability challenge through standards-based roadmaps is essential for establishing seamless connections between health and social care services. This strategy ensures secure and reliable data exchange across various healthcare providers. In this paper, we propose a methodology for extracting, transforming, and loading data through a semi-automated process, utilizing the Common Semantic Standardized Data Model (CSSDM) to build personalized healthcare knowledge graphs (KGs). The CSSDM is based on the formal ontology of ISO 13940 ContSys and integrates FHIR-based specifications to support the structural attributes necessary for KG creation. 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.