CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability

Subhashis Das, Debashis Naskar, Sara Rodriguez Gonzalez
12/12/2024
cs.LOcs.AI

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Abstract

The rise of digital platforms has led to an increasing reliance on technology-driven, home-based healthcare solutions, enabling individuals to monitor their health and share information with healthcare professionals as needed. However, creating an efficient care plan management system requires more than just analyzing hospital summaries and Electronic Health Records (EHRs). Factors such as individual user needs and social determinants of health, including living conditions and the flow of healthcare information between different settings, must also be considered. Challenges in this complex healthcare network involve schema diversity (in EHRs, personal health records, etc.) and terminology diversity (e.g., ICD, SNOMED-CT) across ancillary healthcare operations. Establishing interoperability among various systems and applications is crucial, with the European Interoperability Framework (EIF) emphasizing the need for patient-centric access and control of healthcare data. In this paper, we propose an integrated ontological model, the Common Semantic Data Model for Social Determinants of Health (CSSDH), by combining ISO/DIS 13940:2024 ContSys with WHO Social Determinants of Health. CSSDH aims to achieve interoperability within the Continuity of Care Network.

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@article{das2024cssdh,
  title  = {CSSDH: An Ontology for Social Determinants of Health to Operational Continuity of Care Data Interoperability},
  author = {Subhashis Das and Debashis Naskar and Sara Rodriguez Gonzalez},
  year   = {2024},
  eprint = {2412.09223},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2412.09223v1}
}

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