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    Digital Health Canada: AI in Healthcare Report
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    • Chris Johnston
      Chris Johnston last edited by Chris Johnston

      An interesting report compiled by Digital Health Canada that explores how 8 different Canadian health organizations are implementing AI.

      From the Executive Summary:

      This report provides a comparative analysis of AI implementation across eight leading Canadian healthcare organizations. It examines governance structures, risk management strategies, operational models, and key barriers, identifying best practices and lessons learned. The findings serve as a resource for healthcare leaders navigating AI adoption in their own institutions.

      This report highlights the diverse strategies Canadian healthcare organizations are using to adopt and
      scale AI. While each organization brings a unique context, several cross-cutting insights emerged across governance, risk, operations, and sustainability.

      The 8 organizations include:

      • Fraser Health (British Columbia)
      • Hamilton Health Sciences (Ontario)
      • Hospital for Sick Children (Sick Kids), Ontario
      • UHN (Ontario)
      • Unity Health Toronto (Ontario)
      • McGill University Health Centre (Quebec)
      • Horizon Health (New Brunswick)
      • Nova Scotia Health (Nova Scotia)

      Click to view the report

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      • Debra Turnbull
        Debra Turnbull @Chris Johnston last edited by

        @Chris-Johnston Hi Chris! This was a good read.
        My focus was on AI literacy and AI validation.

        AI literacy - how well does the general public (including clinicians) understand how this thing works.

        Validation - we know AI suffers from AI-drift. What checks & balances are in place for retraining and how often. Basically, how do we "set up the guardrails" as part of its management lifecycle.

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        • Chris Johnston
          Chris Johnston @Debra Turnbull last edited by

          @Debra-Turnbull Totally agree Deb! The other thing on my radar at the moment is erosion of critical thinking skills, particularly for clinicians, how can we assess it and mitigate it.

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          • Debra Turnbull
            Debra Turnbull @Chris Johnston last edited by

            @Chris-Johnston Oh my...! NOT something that I thought about...

            Most of the AI tools that I've seen so far have been in the 'assistant' sphere. Actually replacing decision making is something totally different. I've only seen DSS - Decision Support Systems - that are coupled from the backend of an EMR. They merely provide suggestions - and do not replace clinician note taking.

            I guess that an AI override would be something to look out for.

            The next big thing > Agentic AI: an AI tool feeding into another (different) AI tool... that is coupled with another AI tool. That being said - these things are still WAY too clunky.

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