Disruptors
Disruptors

Can AI Fix ER Wait Times?

23 June 2026 26:31 RBC Thought Leadership, John Stackhouse

Listen to episode

About this episode

Canada’s national AI strategy puts healthcare on centre stage – and for good reason. If you ask Canadians about the healthcare system, many will say they value it deeply, but that they are frustrated by wait times. In this episode of Disruptors, John Stackhouse looks at what we need to do to make artificial intelligence move the needle for wait times and quality of care.

Mara Lederman, co-founder and COO of Signal 1, explains the pressure inside hospitals: rising demand, constrained supply, long waits, and digital systems that often record care without helping the system move faster. She points to practical AI uses already emerging, including AI agents that call patients before procedures, reduce cancelled appointments and protect scarce clinical capacity.

Dr. Amol Verma and Dr. Fahad Razak of Unity Health Toronto take the conversation to the national level. Their work on VITAL – a health data platform – is aimed at connecting more than 160 hospitals across Canada. The promise is larger than one AI tool: better clinical trials, safer AI validation, more Canadian data, stronger governance and a healthcare system that can learn in near-real time.

Canada’s healthcare system generates enormous amounts of data every day. Every hospital admission can produce hundreds of thousands – even millions – of data points, from lab tests and imaging to digital vital signs and outcomes. But too much of that data remains trapped inside hospitals, provinces and systems that were not built to learn from one another.

The episode asks: if Canada has a public healthcare system, world-class research talent and hospitals generating hundreds of thousands of data points for every admitted patient, can AI finally help make the system work better for patients?

 

For more RBC Thought Leadership on AI, healthcare, productivity and Canada’s innovation economy, visit RBC Thought Leadership


Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Disruptors. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.