AI in Hospitals: From Hype to Implementation

AI in Hospitals: From Hype to Implementation

24-25 September 2026

Toronto

AI in Hospitals: From Hype to Implementation

24-25 September 2026, Toronto

About the Event

Most Hospitals Are Testing AI. Very Few Are Scaling It.

If your organization is:

  • Running pilots but struggling to scale
  • Unsure how to navigate privacy, liability, and regulation
  • Facing resistance from clinicians
  • Dealing with fragmented data and legacy systems

You are not alone.

But the gap between experimentation and real impact is where most hospitals fail.

Why This Matters Now

AI in hospitals is not a technology challenge.
It’s a systems, risk, and leadership challenge.

Across Canada, hospitals are stuck because:

  • Data is siloed across provinces and systems
  • Regulation is unclear and liability is undefined
  • AI literacy is low across clinical teams
  • Procurement and funding models don’t support continuous AI investment
  • Ethical risks are rising—and trust is on the line

What This Conference Will Help You Do

This is a practical, implementation-focused conference designed to help you move from pilots to real outcomes.

You will learn how to:

  • Identify AI use cases that actually deliver value
  • Build an AI strategy that works inside a public healthcare system
  • Integrate AI into clinical workflows—not around them
  • Navigate privacy, regulation, and liability with confidence
  • Get clinicians to trust and adopt AI
  • Scale successful pilots into system-wide solutions

Learn From Hospitals Already Doing It

No theory. No hype.

Real-world lessons from:

  • Women’s College Hospital
  • Alberta Health Services
  • Humber River Health
  • Hamilton Health Sciences
  • Jewish General Hospital
  • Horizon Health Network
  • Unity Health
  • The Mount Sinai Health System

The Outcome

You will leave with:

  • A clear roadmap for AI implementation
  • Practical frameworks you can apply immediately
  • Real examples of what works—and what fails

If You’re Responsible for AI, Innovation, or Transformation in a Hospital

This is where you move from experimentation to execution.

Join us in Toronto on 24–25 September.

PDF icon Brochure download (260 kB)

Speakers

Jeremy Theal

Alberta Health Services

Anne Forsyth

Women's College Hospital

Nihal Haque MD FRCPC

Royal College of Physicians and Surgeons of Canada

Jeremy Petch, PhD

Hamilton Health Sciences

Girish Nadkarni

Chief AI Officer​, The Mount Sinai Health System

Kathy Malas

University Health and Social Services Integrated Center of West Central of Montreal

Damian Jankowicz, Ph.D.

Unity Health

Gagan Grewal-Sagoo

Humber River Health

Zach Kilburn

Horizon Health Network

Elizabeth Toller

Health Canada | Santé Canada

Agenda

From Pilot to Scale: Why Most Hospital AI Projects Stall

Most hospitals are actively piloting AI, yet very few initiatives make it to full-scale implementation. This session explores why promising projects stall, breaking down the structural, cultural, and operational barriers that prevent AI from moving beyond experimentation. From fragmented data and integration challenges to clinician resistance, unclear ownership, and lack of measurable outcomes, we will examine what goes wrong and, more importantly, what leading hospitals are doing differently. The focus is on practical lessons that help you move from isolated pilots to scalable, system-wide solutions that deliver real impact.

Anne (Akanksha) Forsyth, Director, Clinical Applications and Decision Support, Women's College Hospital

Transforming Hospitals with AI Applications in Medical Education and Patient Care: A Case Study

This session explores how AI is being applied in a real hospital setting to improve both medical education and patient care. Through a detailed case study, you will learn how AI tools are supporting clinical decision-making, enhancing training for healthcare professionals, and improving patient outcomes. The session will walk through the full journey from identifying the use case to implementation, including key challenges, stakeholder alignment, and measurable results. The focus is on practical insights you can apply within your own organization to drive meaningful, scalable impact.

Nihal Haque MD FRCPC, Data and Informatics Governance Committee (DIGC) Member, Royal College of Physicians and Surgeons of Canada

Building an AI Strategy That Works Inside a Public Healthcare System

Developing an AI strategy in a publicly funded healthcare system comes with unique constraints — from limited resources and complex governance structures to strict accountability and risk management requirements. This session explores how hospital and health system leaders are building practical, implementable AI strategies that align with clinical priorities, funding realities, and regulatory expectations. You will learn how to prioritize the right use cases, define clear ownership, secure internal buy-in, and create a roadmap that moves beyond experimentation to sustainable, system-wide impact.

Jeremy Theal, Chief Medical Information Officer, Alberta Health Services

AI in Healthcare: Improving Outcomes While Reducing Costs

This session explores how AI is being applied across healthcare to improve patient outcomes while addressing cost pressures. Using real-world examples, we will look at how AI supports earlier diagnosis, more efficient workflows, and better decision-making. The session will focus on practical lessons, what’s working today, and what healthcare communicators need to understand to support and communicate these initiatives effectively.

Jeremy Petch, PhD, Founder, CREATE (CentRE for dAta science and digiTal hEalth), Hamilton Health Sciences

AI Implementation in Canada: What’s Slowing Us Down?

This session explores the “imagination gap” holding Canadian healthcare back from scaling AI beyond isolated pilots. While tools like AI scribes are gaining traction, structural barriers—ranging from a national compute deficit to unclear liability frameworks—continue to delay high-impact clinical adoption. Moving beyond the hype, we will examine the real constraints shaping AI implementation, including procurement models, infrastructure investment, and organizational readiness. The session will provide a practical roadmap for overcoming risk aversion, closing the AI literacy gap, and enabling scalable, enterprise-wide AI integration across the healthcare system.

Gagan Grewal-Sagoo, Transformation Lead, Humber River Health

Real-World Outcomes on the Path to Canada’s First Fully AI-Integrated Hospital

This session explores how the Jewish General Hospital is moving beyond AI experimentation to deliver real-world outcomes on the path to becoming Canada’s first fully AI-integrated hospital. Through practical case studies, it will demonstrate how AI is being embedded across clinical and operational workflows—from predictive tools and workflow optimization to virtual care and the Hospital@Home model—to improve patient outcomes while reducing system pressure. The session will also outline the principles of responsible innovation, including human-centered design, ethics, and sustainability, and share actionable lessons on how healthcare organizations can scale AI from isolated use cases to system-wide impact.

Kathy Malas, MPO, GCHlthMgt , Chief Quality, Innovation, Artificial Intelligence and Value Officer; Director of OROT, University Health and Social Services Integrated Center of West Central of Montreal

Building Internal AI Capability: Do You Train, Hire, or Partner?

Building AI capability inside a hospital is no longer optional, but how you do it will define success or failure. This session explores the key decision every organization faces: do you train your existing teams, hire new talent, or partner externally? We will break down the trade-offs between speed, cost, control, and long-term sustainability, and examine how leading hospitals are structuring their AI capability models. The focus is on practical decision making, what works, what does not, and how to build an approach that can scale.

Zach Kilburn, Chief Digital Officer, Horizon Health Network

Building the Foundations for AI at Scale: A Federal Perspective on Data, Readiness, and System Transformation

Scaling AI in healthcare requires more than technology. It depends on strong data foundations, system readiness, and coordinated action across jurisdictions. This session will provide a federal perspective on AI in healthcare, outlining progress to date, highlighting innovation across Canada, and examining what is required to move from isolated pilots to system wide implementation. The focus will be on the critical role of data governance, infrastructure, and organizational readiness in enabling AI at scale, with practical insights for healthcare leaders navigating this transition.

Elizabeth Toller, Director General, Health Care Strategies, Health Canada | Santé Canada

Partners

Don’t miss anything

Want This Program for Your Team?

This program can also be delivered as a tailored in-house training for your organization. We adapt the content to your industry, objectives, and level of maturity, focusing on real challenges your teams face and the decisions they need to make. In-house formats allow your people to align on a shared approach, work through relevant scenarios, and build skills they can apply immediately.

If you’re exploring an in-house option, tell us a bit about your team, priorities, and timing, and we’ll recommend the right format.

Contact us about in-house training

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