Pan-Canadian Health Data Content Framework

March 7, 2024 — The Pan-Canadian Health Data Content Framework defines the health data required to enable connected care across Canada.

Open review

We are seeking your input to validate draft content from the Pan-Canadian Health Data Content Framework. We invite you to explore this page to learn about the framework, access downloadable content and share your feedback.  

We are holding an open review period from March 7 to May 6, 2024. Feedback obtained during this review period will be considered for release 1.0 of the Pan-Canadian Health Data Content Framework (to be released in September 2024). Feedback obtained after the open review period will be considered for subsequent releases.  

Additional content will be made available for public review over time. If you would like to receive updates when new content is added, please email connectedcare@cihi.ca to be added to our stakeholder notification list.

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Information model

The information model is a high-level model that establishes subject areas for organizing and showing relationships between the data elements in the data content standard.

Download the information model (PDF)

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Explore the Pan-Canadian Health Data Content Framework

The Pan-Canadian Health Data Content Framework defines and models person-centric health data.

Once fully implemented in digital health solutions, the framework will enable standardized and high-quality data to be exchanged across care settings to create a connected learning health system in Canada — one where data flows seamlessly for clinical care planning and management, program planning and resource allocation, health system measurement and pan-Canadian comparability, and population and public health.

The framework is technology-agnostic, which means it will support data being exchanged across various technologies and systems.

Benefits

The framework will benefit patients, health care providers, health systems and industry.

  • Patients will have improved access to and control over their own health information, which will empower them to make informed decisions about their care, minimize errors and enhance transitions in care.  
  • Health care providers will benefit from access to timely and comprehensive patient health information, which will reduce administrative burden; improve efficiency, accuracy and care coordination; and enhance confidence in clinical decision-making.
  • Health system decision-makers will be able to harness consistent and standardized data to support evidence-based health system management and planning, which will reduce duplication, optimize care delivery and workflows, and provide greater value for money.
  • Industry will have access to pan-Canadian standards, which will reduce the need to navigate variable requirements across the country, accelerate time to market, reduce expenses and free up resources for innovation.

Deliverables of the Pan-Canadian Health Data Content Framework

The Pan-Canadian Health Data Content Framework packages a series of individual products, which together ensure that health system technology developers can align their technical solutions with the foundational health concepts identified.

The first release of the framework focuses on health data that would be captured in a primary health care setting. Over time, the framework will also define the health data captured in hospitals, emergency departments, long-term care and other health domains.

This image is described below

Pan-Canadian Health Data Content Framework

This figure describes the main components of the Pan-Canadian Health Data Content Framework. There is a backdrop of an image of a map of Canada with connected lines across cities to illustrate health data interoperability. The components of the framework and their purpose are as follows:

Business context model: Describes the scope of the framework

Data models: Provides reference data architecture that establishes all the concepts and relationships needed to represent health data

Data content standard: Defines the data elements and their permitted values, which together can be grouped to form data sets

Business glossary: Provides definitions for all business terms used across the framework

Metadata: Provides descriptive and contextual information about the framework

Data content standard

The data content standard defines the data elements and value sets necessary for connected care.  

The data content standard specifies the data to be collected (e.g., diagnosis), as well as the language (e.g., SNOMED CT) and formats to be used (e.g., 44054006 | Type 2 diabetes mellitus). By doing so, the data content standard ensures accuracy, compatibility, uniformity and consistency in how health data is collected, interpreted and exchanged.  

Value sets are lists of specific values assigned to a data element. If eye colour was a data element, the value set might contain values such as brown, blue, hazel, amber and green. Value sets ensure that the same set of valid values is used across different systems, which reduces the risk of misinterpretation, enables information to be meaningfully exchanged across different systems and improves the quality and opportunity for reuse of exchanged data.

Information model

The information model is a high-level model that highlights the key real-world concepts important to understanding a person’s health and how they relate. The information model establishes subject areas for organizing concepts in the data models.  

Future releases

Additional content — including data models, data sets, a business context model, a business glossary and metadata — will be added to future releases of the framework.

Timeline

The Pan-Canadian Health Data Content Framework will be released in September 2024. It will focus on primary health care data captured in a patient summary and primary health care data for clinical consultation or referral. Release 1.0 will be made available to the public on this page.


Collaborative development process

The framework has been developed following a transparent and collaborative process that included

  • Leveraging existing data content standards across Canada and internationally as a foundation
  • Conducting gap analyses
  • Documenting clinical scenarios, workflows and use cases
  • Conducting targeted engagement and consultation
  • Harnessing expertise and experience of a wide community of partners that included persons with lived experience, clinicians and care providers, Indigenous communities, industry, researchers, provincial and territorial governments, federal departments, and pan-Canadian health organizations such as Canada Health Infoway
  • Making the framework available for comment and feedback through open reviews

Contact us

Connected care

If you have questions about connected care or would like to participate in our consultations, please email us:

connectedcare@cihi.ca 

 

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