Canada’s healthcare system is still struggling with a basic challenge: patient information doesn’t always move easily between providers.
According to insights referenced in TELUS Health’s new Agentic AI discussion paper, 71% of physicians say interoperability across data and records would significantly reduce administrative burden. Yet many electronic medical record systems still function primarily as digital filing cabinets – storing information rather than helping care teams coordinate it.
The paper explores how AI-powered EMRs could help bridge that gap. By connecting data across providers, pharmacies, virtual care platforms, and health authorities, AI tools can help clinicians track longitudinal patient information, surface relevant insights, and coordinate care more effectively across settings.
For clinicians managing hundreds or even thousands of patients, that kind of system support can be critical – helping identify care gaps, monitor trends, and reduce the manual work required to piece together fragmented patient histories.
The discussion paper also examines how these systems can operate within Canada’s strict healthcare privacy frameworks. Solutions are designed to work within regulated environments governed by legislation such as PHIPA and PIPEDA, while supporting secure collaboration across care teams.
You can read the discussion paper here:
EN: https://go.telushealth.com/hubfs/whitepapers/telus-health-agentic-ai-discussion-paper-en.pdf
FR: https://go.telushealth.com/hubfs/whitepapers/telus-health-agentic-ai-discussion-paper-fr.pdf
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This entry was posted on April 28, 2026 at 9:23 am and is filed under Commentary with tags Telus. You can follow any responses to this entry through the RSS 2.0 feed.
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Canada’s fragmented health records – could AI help connect them?
Canada’s healthcare system is still struggling with a basic challenge: patient information doesn’t always move easily between providers.
According to insights referenced in TELUS Health’s new Agentic AI discussion paper, 71% of physicians say interoperability across data and records would significantly reduce administrative burden. Yet many electronic medical record systems still function primarily as digital filing cabinets – storing information rather than helping care teams coordinate it.
The paper explores how AI-powered EMRs could help bridge that gap. By connecting data across providers, pharmacies, virtual care platforms, and health authorities, AI tools can help clinicians track longitudinal patient information, surface relevant insights, and coordinate care more effectively across settings.
For clinicians managing hundreds or even thousands of patients, that kind of system support can be critical – helping identify care gaps, monitor trends, and reduce the manual work required to piece together fragmented patient histories.
The discussion paper also examines how these systems can operate within Canada’s strict healthcare privacy frameworks. Solutions are designed to work within regulated environments governed by legislation such as PHIPA and PIPEDA, while supporting secure collaboration across care teams.
You can read the discussion paper here:
EN: https://go.telushealth.com/hubfs/whitepapers/telus-health-agentic-ai-discussion-paper-en.pdf
FR: https://go.telushealth.com/hubfs/whitepapers/telus-health-agentic-ai-discussion-paper-fr.pdf
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This entry was posted on April 28, 2026 at 9:23 am and is filed under Commentary with tags Telus. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.