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Accurate, timely health information is vital for Canadians, especially underserved populations. Connected health data and person-centric standards are foundational for Canada

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Area of Science:

  • Health Informatics
  • Public Health Policy
  • Data Standards

Background:

  • Effective healthcare delivery relies on accessible, timely health information for all Canadians.
  • Health data challenges in Canada disproportionately affect equity-deserving populations, creating care gaps.
  • The COVID-19 pandemic highlighted the urgent need for a connected health data ecosystem.

Purpose of the Study:

  • To emphasize the critical role of health data in improving healthcare access and quality.
  • To address the need for a unified, federally and provincially supported learning health system.
  • To highlight the importance of person-centric data content standards for data exchange.

Main Methods:

  • Analysis of existing health data challenges and their impact on underserved populations.
  • Review of the impetus for a learning health system driven by connected health data.
  • Identification of person-centric data content standards as a foundational element.

Main Results:

  • Connected health data is essential for clinical care, patient access, and system operations.
  • Standardized, person-centric data enables the creation and exchange of critical health information.
  • Addressing data gaps is crucial for equitable healthcare delivery across Canada.

Conclusions:

  • A learning health system powered by connected, person-centric data standards is fundamental for Canada's healthcare future.
  • Improved data accessibility and quality are key to meeting the needs of all Canadians, particularly equity-deserving groups.
  • Unified action at federal and provincial levels is driving the development of a robust health data infrastructure.