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The OnSPARK LTC Data Platform: Leveraging interRAI to Build a Learning Health System for Long-Term Care.

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Canada's Long-Term Care (LTC) faces quality and staffing issues. The OnSPARK data platform integrates resident assessments and staffing data to improve care and support research.

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Area of Science:

  • Health Informatics
  • Gerontology
  • Health Services Research

Background:

  • Long-Term Care (LTC) in Canada experiences ongoing challenges in quality, staffing, and accountability.
  • InterRAI assessment instruments offer validated tools for resident assessment but face limitations in data access and integration.
  • Existing data systems often aggregate information at the facility level, hindering granular analysis and targeted interventions.

Purpose of the Study:

  • To describe the OnSPARK platform, Canada's largest sector-governed LTC data platform.
  • To explain how OnSPARK integrates interRAI assessments, electronic health records, and staffing data.
  • To highlight OnSPARK's role in advancing a learning health system for LTC.

Main Methods:

  • Integration of de-identified interRAI assessments, electronic health records, and staffing data from over 200 Ontario LTC homes.
  • Development of unit-level analytics and near real-time performance reporting capabilities.
  • Establishment of a secure environment for embedded research and artificial intelligence (AI) development.

Main Results:

  • OnSPARK provides unit-level analytics and near real-time performance reporting.
  • The platform facilitates the linkage of workforce data with resident outcomes.
  • OnSPARK supports AI development and collaborative initiatives within LTC.

Conclusions:

  • OnSPARK positions interRAI assessments as the foundation of a learning health system in Canadian LTC.
  • The platform enhances evidence-based decision-making through integrated data and advanced analytics.
  • OnSPARK is poised to improve care quality, operational efficiency, and research in the LTC sector.