Wednesday 11 March 2026 | 10:45-11:45 In healthcare, some practices persist long after the evidence against them is clear. These \u201czombie ideas\u201d\u2014guidelines, tasks, or treatments that refuse to die\u2014consume time, resources, and energy without benefiting patients or staff. This session explores the vital work of de-implementation: how to detect and dismantle low-value practices, challenge entrenched routines, and create space for care that truly matters and build competencies and culture around de-implementation. Design is a powerful yet underused method for solving complex healthcare challenges. In this interactive workshop, participants will learn and apply core methods of human-centred design, including empathy-building, journey mapping, ideation, and prototyping, to healthcare challenges. Participants will also discover how generative AI can strengthen design work by testing ideas quickly, refining language for clarity and accessibility, translating materials to reach diverse communities, and creating visual storyboards, images, and prototypes that make ideas tangible. Together, these approaches help build solutions that are more equitable, inclusive, and effective. Through guided, hands-on activities and real examples from emergency department improvement projects, participants will explore how design injects creativity and humanity into quality improvement (QI) work, moving healthcare forward with intention and innovation. Attendees will leave equipped with practical tools and inspiration to frame persistent problems differently, engage patients and families more deeply, and bring their ideas to life in ways that matter.<\/span><\/p> After this session, participants will be able to:\u00a0<\/p> Sasha Litwin<\/a><\/strong> Attending Physician in Emergency Medicine, The Hospital for Sick Children; Canada National and regional AI strategies are crucial to focus activities and resources, but they are fast developing and struggle to keep up with the pace of adoption of emerging technologies (including AI). Many existing digitalisation strategies fail to meaningfully engage end-users in their development and, as a result, are often perceived as “top-down”, leading to issues with buy-in and adoption. There is therefore now an urgent need to develop agile ways to incorporate stakeholder views and experiences.\u202f<\/span><\/p> This session explores how generative AI (GenAI) has been used to analyse thousands of qualitative contributions from the National Health Service (NHS) AI Ambassadors network (a large national community of practice with several thousand members) to co-design a shared commitment to promote the safe adoption and implementation of AI in healthcare. Using tools like Notebook LM, we synthesised thousands of free-text responses to inform the development of a strategic framework for AI in the NHS.\u202f After this session, participants will be able to:\u00a0<\/span><\/p>
Stream: Tech innovations
Chair: <\/strong><\/em>Vibeke Rischel<\/a> <\/strong>Danish Society for Patient Safety; Denmark\u00a0<\/span><\/p>
Through practical experiences, participants will learn how to:
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Part 1: Design as a method: practical tools for human-centred healthcare improvement and how Generative AI can help<\/strong><\/p>
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Samuel Vaillancourt<\/a> <\/strong>Unity Health Toronto; Canada
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Part 2: Engagement at scale: using generative AI to co-create digitalisation strategies<\/strong><\/p>
Attendees will gain insight into how GenAI can support the development of movement-led change initiatives that include large-scale sense-making, participatory design, and strategic alignment in complex systems like the NHS.<\/span><\/p>
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