Canada HealthSync

How can we create a healthcare system that truly connects Canadians?

Resources

Use the information on this page, as well as your own research, to inform and support your project.

  • Bill C-72 

    Bill C-72 is a piece of Canadian legislation aimed at protecting people's personal data, especially in the context of healthcare. It sets out rules about how patient data should be handled, shared, and stored to make sure it’s kept private and secure.

    The main goal of Bill C-72 is to ensure that healthcare organizations, like hospitals or clinics, respect patient privacy while sharing information when necessary. For example, if a doctor in one province needs to access a patient’s medical history from another province, this law helps ensure that data is shared securely, with the patient's consent.

    It’s all about balancing innovation (like using new technologies to improve healthcare) with the need to protect sensitive information. While we want to improve healthcare and make it more connected, Bill C-72 helps make sure that patients' rights and privacy are respected in the process.

  • An Introduction to Canada's Bill C-72, the Connected Care For Canadians Act 

  • FHIR 

    FHIR (Fast Healthcare Interoperability Resources) is a standard that makes it easier for different healthcare systems to share information with each other. Think of it like a universal translator or a set of rules that ensures all systems "speak the same language" when it comes to healthcare data, like patient records or lab results.

    Without FHIR, hospitals, clinics, and labs often struggle to exchange information because their systems are built differently. FHIR provides a framework that simplifies this by organizing data into small, reusable pieces (called "resources") that can be easily shared and understood across systems.

    It’s also designed for the modern world – FHIR works well with web technologies, making it quicker, more flexible, and easier to integrate into apps or digital tools. FHIR is about breaking down barriers so healthcare providers can work together more effectively and give patients better, more connected care.

Points to consider


System Design

  • Interoperability: Make sure healthcare systems can share information easily with one another.
  • Scalability: Design a system that can grow over time, adding more providers and regions smoothly.

 

Using AI for Better Healthcare

  • Predictive Analytics: Use AI to analyze data, spot trends, and predict potential health risks.
  • Personalized Medicine: Help create treatment plans tailored to individual patients using their specific data.

 

Keeping Data Secure

  • Encryption: Use strong security measures to keep patient data safe.
  • Access Controls: Limit who can see what data based on their role.
  • Data Sovereignty: Ensure patient data stays within provincial borders to protect privacy and meet security standards.

 

Policy Considerations

  • Data Security and Privacy: Protect patient information and make sure it’s only used with their clear consent.
  • Costs for Providers: Be aware that adding new systems can come with technical and financial challenges for healthcare providers.
  • Building Trust: Ensure patients trust the system by safeguarding their privacy and clearly explaining the benefits of data sharing.
  • AI Ethics and Accountability: Set clear rules to address biases and clarify who is responsible for decisions made by AI systems.