Clinical AI adoption is growing across Canada, but organizations continue to face challenges evaluating impact and determining whether implementations are ready to continue, refine, or scale. This webinar will share findings from a pan-Canadian environmental scan of clinical AI activity before introducing the CHIEF Executive Forum Clinical AI Toolkit, a practical, flexible resource designed to support real-world evaluation.
Participants will learn about the toolkit’s Minimum Viable and Expanded Evaluation approaches, KPI Library, readiness assessment, ROI approach, decision guidance, and supporting resources. Representatives from CAMH and SE Health will also share their experiences applying the toolkit in practice, including how they have used it to structure evaluation, select measures, and support decision-making, as well as lessons learned from putting the toolkit into use.
Presented by:
Marissa Binstock, Senior Manager, CHIEF Program + Strategic Initiatives
Marissa Binstock is Senior Manager, CHIEF Program and Strategic Initiatives at Digital Health Canada. She works with senior healthcare leaders across Canada to advance digital health, leading national working groups and creating practical, experience-driven content. Marissa also designs and delivers CHIEF’s bi-annual Symposia, convening public and private sector leaders to share real-world insights, challenges, and lessons learned.
Lauren Pastor, Intern, Information Management Group, CAMH +
MSc eHealth 2027 Candidate
Lauren Pastor is an MSc eHealth candidate at McMaster University and a Research Student at the Centre for Addiction and Mental Health (CAMH), where she focuses on the evaluation of clinical AI tools and their impact on documentation and clinician experience. With a background in Health Sciences and Business from Western University’s Ivey Business School, with particular research interest in health economic evaluation, Lauren brings an analytical lens to AI evaluation.
Sponsored by:

Earn One Continuing Education Unit (CEU) for attending this webinar.
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