e-Health25 Sponsor Symposia
Monday, June 2 from 12:30-1:30 p.m
Healthcare Leaders Driving Innovation: How TSSO, NYGH, and CAMH are Powering the Future with Oracle
Canadian healthcare organizations are embracing a new era of digital transformation powered by Oracle Health. This executive panel, featuring leaders from Transform Shared Service Organization (TSSO), North York General Hospital (NYGH), and the Centre for Addiction and Mental Health (CAMH), will explore how Oracle Cloud Infrastructure (OCI), big data, and interoperability are modernizing healthcare from front-office operations to back-office efficiencies. Learn how these organizations are leveraging Oracle’s cutting-edge technologies—including the early adoption of Clinical AI Agent—to enhance security, streamline workflows, and improve patient outcomes. Join us for an in-depth discussion on the future of connected healthcare and how Oracle is helping Canadian providers build a smarter, more efficient, and data-driven healthcare ecosystem.
Panellists: Noralyn (Lyn) Baluyot, Dr. Tania Tajirian, Duska Kennedy, and Sonia Pagliaroli
Hosted by
Exploring Real-life Examples of How Generative AI is Making a Difference in Canadian Healthcare
Join us for this enlightening panel discussion on the transformative impact and best practices for Generative AI in Canadian healthcare. This session will feature expert perspectives and lessons learned from trailblazing Canadian hospitals that have successfully integrated Generative AI to responsibly drive impact and value in healthcare. Our esteemed panel of leaders will share their journey from conceptualization to implementation, offering practical insights on how to get started, implement responsibly, and scale initiatives. Whether you are a healthcare professional, a technology enthusiast, or a policy maker, this session will provide valuable knowledge and inspiration to harness the power of Generative AI to drive innovation and improve outcomes. Don’t miss this opportunity to engage with industry leaders and we look forward to welcoming you as part of the conversation shaping the Future of Generative AI & Health in Canada!
Panellists: Niraj Dalmia; Matt LeBreton; Peter Bak
Hosted by
06/2/2025 12:30 PM 1:30 PM Sponsor Symposia 3: Hosted by Amazon Web Services (AWS) | Title Breakout Room 3
06/2/2025 12:30 PM 1:30 PM Sponsor Symposia 4: Hosted by LGI Healthcare | Collaborative Partnerships: An Essential Component in Digital Workforce Transformation Breakout Room 4 Digital workforce management isn’t just about technology—it’s about the people who use it. This panel brings together experts from long-term care and healthcare technology to discuss how Canadian healthcare institutions have overcome real-world obstacles when implementing digital workforce solutions. Drawing from decades of collective experience, the panelists will share lessons on creating sustainable success with the right mix of technology and collaboration. Walk away with expert advice to help your organization build a solid workforce strategy that enhances operational efficiency and contributes to delivering high-quality care. John Rafeletos; Mark Coburn; Anne Baldwin; Greg Reid
06/2/2025 12:30 PM 1:30 PM Sponsor Symposia 5: Hosted by Meditech | AI Applications in Healthcare: Enhancing Efficiency, Improving Care, and Empowering Clinicians Breakout Room 5 “AI holds immense promise to revolutionize healthcare by alleviating administrative burdens and empowering staff to focus on patient-centered care. Integrating AI into healthcare workflows can foster a more efficient and patient-centric system. Realizing this potential requires a commitment to responsible and iterative development, incorporation of end-user feedback, and effective integration into workflows.
This discussion outlines key considerations for AI adoption in healthcare in a safe and transparent manner and will focus on the impact of deployment for a sampling of AI use cases, including:
– Ambient listening to generate encounter notes, queue orders, and enable additional efficiencies in clinician workflow – across multiple care settings and for an evolving set of use cases.
– Leveraging LLMs for the auto-generation of clinical documentation for key transitions of care to reduce cognitive burden and improve patient care.
– Intelligent search and condition summarization across the EHR data set to reduce visit prep time, pinpoint key information quickly, and obtain a longitudinal view of the patient.
– Predictive scheduling to decrease appointment no-show rates.
– Utilizing data to measure use case value and impact.
By integrating responsible AI practices, healthcare organizations can realize the value and transformative potential of AI while safeguarding patient wellbeing and fostering trust.” Robert Molloy; Rebecca Lancaster
