Ottawa's emergency rooms are busy, understaffed, and under pressure — and one doctor at Queensway Carleton Hospital believes artificial intelligence could be part of the solution.
As hospitals across Canada grapple with overcrowding and long wait times, a physician at the west-end Ottawa hospital is making the case that AI has untapped potential to transform how emergency departments operate. The technology, they argue, hasn't yet shown its full capacity to save lives — but the early signals are encouraging enough to take seriously.
What AI Could Do in the ER
Artificial intelligence in emergency medicine isn't science fiction. Tools already in development and limited deployment can help triage patients faster, flag deteriorating vital signs, assist with diagnostic imaging reads, and even predict which patients are most likely to be admitted — freeing up clinical staff to focus on care rather than paperwork.
For a hospital like Queensway Carleton, which serves Ottawa's west end and surrounding communities, faster and more accurate triage could mean the difference between a patient being seen in time or slipping through the cracks during a surge.
Proponents see AI as a force multiplier for an overstretched system: not replacing nurses and physicians, but giving them sharper tools to work with.
The Fear Factor
Not everyone shares that optimism. Critics of AI in clinical settings raise legitimate concerns — about algorithmic bias, about liability when a machine gets it wrong, and about the risk of over-relying on technology in high-stakes, fast-moving environments where human judgment still matters most.
There's also the question of trust. Patients and frontline staff alike can feel uneasy handing any portion of medical decision-making to a system they don't fully understand. For emergency medicine, where seconds count and context is everything, that unease isn't unfounded.
The doctor at Queensway Carleton acknowledges the technology hasn't yet proven itself at scale — but sees that as reason for cautious optimism rather than dismissal. The gap between what AI can do today and what it might do in five years is significant.
Ottawa's Health System Needs Innovation
Ottawa has faced its share of ER pressures in recent years. Hallway medicine, ambulance offload delays, and staffing shortages have strained both major hospital networks. Any tool that can help emergency departments work smarter — not just harder — deserves a fair look.
If AI can shave minutes off a triage decision, catch a diagnosis that might otherwise be delayed, or help a nurse prioritize a crowded waiting room, the cumulative impact on patient outcomes in a city the size of Ottawa could be substantial.
The conversation happening at Queensway Carleton reflects a broader moment in Canadian healthcare: cautious curiosity about what comes next, and a recognition that the status quo isn't working well enough.
Whether AI becomes a standard fixture in Ottawa ERs will depend on evidence, investment, and the willingness of institutions and regulators to move carefully but forward.
Source: Ottawa Citizen
