Building collaboration for deeper learning and better care

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Building collaboration for deeper learning and better care

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This inaugural Symposium aims to explore the theme building collaboration for deeper learning and better care. The event will feature a panel discussion, highlighting the expertise of those working with AI from across the country. Panelists will share their experiences with AI implementation and adoption into practice, followed by an interactive discussion and Q&A from Symposium attendees.

The objectives are to:

Engage in a national dialogue on AI adoption in healthcare
Promote AI innovation in Canadian healthcare
Discuss leveraging AI to provide compassionate and high quality care

Activities

February

Feb.

Présenté by MITACS

Writing and presentation skills

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February

Feb.

Présenté by MITACS

Project and time management

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February

Feb.

Présenté by MITACS

Reconciliation & EDI

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Featured project

Detection of delirium using physiological parameters and hypovigilance monitoring: a pilot observational cohort study

Student member : Raphaëlle Giguère

Delirium is a condition that, when left unmanaged, is associated with increased mortality and longer hospitalization of patients in intensive care; therefore, its detection should be an integral part of care. It is characterized by confusion, anxiety and reduced alertness. It is estimated that 75% of delirium cases are not detected on admission to hospital. Detecting such an acute condition requires frequent monitoring of participants, which is labor intensive and requires expertise.