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Summary

Résumé de la présentation

AI is transforming how buildings are conceived. Generative design can produce hundreds of layout options overnight, and digital twins model energy, structure and circulation with remarkable precision. What these tools cannot reliably predict is how people will work inside the finished space under real operating conditions. Those answers typically arrive after handover, as workarounds, retrofits and change orders happen. Meanwhile, design decisions stall in meeting rooms as stakeholders debate drawings and renderings based on opinion and precedent rather than evidence, and schedules and budgets absorb the delay.  Immersive design methodology adds the missing human-performance layer to the longstanding traditional process. Using tabletop exercises, full-scale mock-ups and in-situ simulation, the people who will use the space put competing options through real tasks, so decisions rest on what works rather than on what looks right on paper. Grounded in our peer-reviewed work in some of the least forgiving built environments, including emergency departments and trauma rooms, the approach applies to any complex facility where human performance matters, from transit stations and labs to schools and industrial sites. This session will show how recreating authentic work (i.e. simulation) turns stalled deliberation into tested decisions, catches design flaws while they are still cost effective to fix, and increases the likelihood of getting capital decisions right the first time.

Who's Presenting

Qui présente

Andrew Petrosoniak

(Moderator)

Medical Director, Simulation Program - Unity Health Toronto | Emergency Physician and Trauma Team Leader, St. Michaels Hospital | President - Advanced Performance Healthcare Design

Medical Director, Simulation Program - Unity Health Toronto | Emergency Physician and Trauma Team Leader, St. Michaels Hospital | President - Advanced Performance Healthcare Design

Biographie

AI is transforming how buildings are conceived. Generative design can produce hundreds of layout options overnight, and digital twins model energy, structure and circulation with remarkable precision. What these tools cannot reliably predict is how people will work inside the finished space under real operating conditions. Those answers typically arrive after handover, as workarounds, retrofits and change orders happen. Meanwhile, design decisions stall in meeting rooms as stakeholders debate drawings and renderings based on opinion and precedent rather than evidence, and schedules and budgets absorb the delay.  Immersive design methodology adds the missing human-performance layer to the longstanding traditional process. Using tabletop exercises, full-scale mock-ups and in-situ simulation, the people who will use the space put competing options through real tasks, so decisions rest on what works rather than on what looks right on paper. Grounded in our peer-reviewed work in some of the least forgiving built environments, including emergency departments and trauma rooms, the approach applies to any complex facility where human performance matters, from transit stations and labs to schools and industrial sites. This session will show how recreating authentic work (i.e. simulation) turns stalled deliberation into tested decisions, catches design flaws while they are still cost effective to fix, and increases the likelihood of getting capital decisions right the first time.

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