AI in Canadian Healthcare

Artificial intelligence is already making decisions inside Canada’s healthcare system. The tools doing that work were built without the people most exposed to their harm, and the results are predictable: efficiency first, the person second.

I keep a set of questions close: who shapes the logic, who carries the cost when it fails, what it actually takes to change the order of priority. This is where I work through them.

If you’re new here, start with who I am and why a patient is writing about AI governance.

If you’re asking some of these same questions, drop your email and we can explore them together.

Elsewhere

If AI scribes were the test run, Supply Ontario has lessons to learn Healthy Debate, July 2026
Two Ontario physicians on what the Auditor General's AI report actually said, beyond the scribe-hallucination headlines.
Disconnected by design: How fragmented health data is failing Canadian patients Healthy Debate, July 2026
The data-fragmentation problem underneath every AI promise: patients in rural and remote communities crossing multiple systems for basic care.
Machine learning-enabled medical devices: pre-market guidance Health Canada
The federal regulatory baseline. Worth knowing what it covers, and what it leaves out.