AI and the Quebec Healthcare System: Where We Stand

You waited 4 hours at the ER. You forgot a prescription. You got the wrong dose because of an administrative error. Welcome to the Quebec healthcare system. And yes, AI could help. But it’s complicated.

Where can AI help? Everywhere.

Wait times? An AI can predict patient flow and optimize schedules.
Diagnostics? An AI can analyze medical images (X-rays, MRIs) as well—sometimes better—than a human.
Administration? Automate patient records, prescriptions, billing. Boom, fewer errors.

Sounds magical. But Quebec… is dragging its feet a bit.

The problem: data and infrastructure

For AI to work in healthcare, you need data. A lot. Structured patient records, high-resolution medical images, history. Quebec has all that, but it’s scattered. One hospital has one IT system. The next one has a different one. Clinics? Not even connected.

It’s like asking ChatGPT to write a novel using sentences written on different pieces of paper, in different languages, piled up randomly. Technically possible, but… not optimal.

What’s happening now

Pilot projects. The Université de Montréal (them again!) is working with hospitals. Startups are developing specialized solutions. But it’s slow. Too slow for a system that’s already overflowing.

The key thing: for it to really work, we’d need real political will to modernize the IT infrastructure. Not just implement AI “on top of” the current chaos.

Will AI cure you faster?

Maybe in 5-10 years. Not tomorrow. But the potential is enormous: fewer medical errors, faster diagnostics, less waiting. It’s just that… we need to fix the infrastructure first.

Curious to learn more about AI applied to healthcare? Sherpa has specialized info, or dig deeper on Laeka Research.