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Enabling Person-Centric Care using linked data technologies.

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Patient-Centric Care needs integrated data across health and social domains. Our Linked Data system improves access to this complex information for better individual and population health insights.

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Area of Science:

  • Health Informatics
  • Data Science
  • Social Care Systems

Background:

  • Patient-Centric Care necessitates a holistic view of individuals and populations, integrating medical, behavioral, and social data.
  • Current systems are often heterogeneous and siloed, hindering coordinated care across diverse stakeholders (government, NGOs) in health and social sectors.

Purpose of the Study:

  • To develop and evaluate a system that enhances accessibility and usability of cross-domain information for Patient-Centric Care.
  • To address the challenge of integrating heterogeneous data from medical, behavioral, and social domains.

Main Methods:

  • Implementation of a system leveraging Linked Data technologies.
  • Utilizing minimal data structure and open vocabularies for broad applicability.
  • Evaluation through user studies to assess system effectiveness and usability.

Main Results:

  • Demonstrated feasibility of using Linked Data to integrate disparate health and social care information.
  • User studies indicated improved accessibility and fitness-for-use of cross-domain data.
  • The system facilitates a more comprehensive understanding of patient strengths and vulnerabilities.

Conclusions:

  • Linked Data technologies offer a viable approach to unifying fragmented health and social care data.
  • The developed system represents a foundational step towards more effective, data-driven Patient-Centric Care.
  • Further development can enhance coordination and insights across multiple care domains.