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UID:10000166-1746608400-1746633600@digitalhealthcanada.com
SUMMARY:Advancing Healthcare through Simulation: A Provincial Summit
DESCRIPTION:Join us for a groundbreaking event that showcases the transformative power of simulation in healthcare education\, workforce development\, and innovation. “Advancing Healthcare through Simulation: A Provincial Summit” will bring together leaders from government\, regulatory bodies\, healthcare organizations\, post-secondary institutions\, and industry to explore simulation’s pivotal role in shaping Alberta’s healthcare future. \n\nMorning Session: Enhancing Competency through Advanced Simulation in Healthcare Education – This session will focus on the use of high-fidelity simulation to enhance competencies\, meet regulatory standards\, and improve patient safety. Attendees will gain insights into simulation-based best practices and its ability to improve skill acquisition\, confidence\, and readiness through expert panels\, keynote insights\, and live demonstrations.\nMidday Session: Building a Skilled Healthcare Workforce through Simulation-Based Education – Addressing Alberta’s workforce challenges\, this session will highlight how simulation accelerates graduate readiness\, supports foreign credential recognition\, and builds a pipeline of job-ready healthcare professionals. Through keynote addresses\, expert discussions\, and breakout sessions\, stakeholders will explore strategies to enhance workforce capacity using simulation.\nAfternoon Session: Enhancing Health Innovation through Simulation and Digital Technology – Discover how CAMS is driving health innovation through services like usability testing\, validation studies\, and future digital twin technology. This session will showcase simulation’s potential to engage end users\, validate innovations\, optimize healthcare workflows\, integrate smart technologies\, and support data-driven decision-making for improved outcomes.\n\nWhy Attend?\nThis summit offers unparalleled opportunities to engage with thought leaders\, experience cutting-edge simulation technologies\, and build collaborative partnerships to advance healthcare education\, workforce readiness\, and innovation in Alberta. Morning snacks\, lunch\, and refreshments are included.
URL:https://digitalhealthcanada.com/event-calendar/advancing-healthcare-through-simulation-a-provincial-summit/
LOCATION:NAIT Feltham Centre\, 11763 106 Street\, Edmonton\, Alberta\, T5G 2R1\, Canada
ATTACH;FMTTYPE=image/png:https://digitalhealthcanada.com/wp-content/uploads/2025/03/Event-header-member-event-NAIT.png
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DTSTART;TZID=America/Toronto:20250507T120000
DTEND;TZID=America/Toronto:20250507T130000
DTSTAMP:20260317T140621Z
CREATED:20260317T140621Z
LAST-MODIFIED:20260317T140621Z
UID:10000176-1746619200-1746622800@digitalhealthcanada.com
SUMMARY:AI-Powered Clinical Decision Support Systems: Potential\, Precautions\, and Practical Considerations for Primary Care in Canada
DESCRIPTION:Webinar Wednesday Healthcare Innovation Rounds – AI-Powered Clinical Decision Support Systems: Potential\, Precautions\, and Practical Considerations for Primary Care in Canada \nJoin us for a thought-provoking webinar examining the role of AI-powered Clinical Decision Support Systems (CDSS) in primary care. While AI has the potential to influence diagnosis\, treatment planning\, and clinical workflows\, its integration into patient care raises important questions about reliability\, safety\, and clinical accountability. \nThis session will provide clinicians\, healthcare leaders\, and policymakers with a critical overview of AI-CDSS\, including their functions\, limitations\, and the current gaps in regulation. While some AI-CDSS tools are approved by Health Canada as medical devices\, many are not\, leaving questions about their safety\, effectiveness\, and accountability. By examining some examples of practical applications of AI-CDSS\, participants will explore key considerations when evaluating these tools\, including issues of bias\, transparency\, and decision-making autonomy. \nBy the end of the session\, attendees will gain a clearer understanding of how AI-CDSS function\, the risks they may introduce\, and the factors to consider when determining their role in clinical practice. This webinar is designed to support clinicians in making informed decisions about AI in primary care.
URL:https://digitalhealthcanada.com/event-calendar/ai-powered-clinical-decision-support-systems/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://digitalhealthcanada.com/wp-content/uploads/2024/12/2025-header-healthcare-innovation-rounds.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250514T120000
DTEND;TZID=America/Toronto:20250514T130000
DTSTAMP:20260317T140621Z
CREATED:20260317T140621Z
LAST-MODIFIED:20260317T140621Z
UID:10000177-1747224000-1747227600@digitalhealthcanada.com
SUMMARY:Evidence2Practice Ontario - Bridging Gaps in Care for Sickle Cell Disease in the ED
DESCRIPTION:Evidence2Practice Ontario drives digital implementations into systems across hospitals in Ontario to support clinicians in delivering high-quality care for various clinical conditions. The program partnered with four hospitals to digitize pathways in the emergency department so patients with Sickle Cell Disease can receive evidence-based treatments quickly\, effectively\, and with discrimination-free compassion.
URL:https://digitalhealthcanada.com/event-calendar/evidence2practice-ontario-bridging-gaps-in-care-for-sickle-cell-disease-in-the-ed/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://digitalhealthcanada.com/wp-content/uploads/2024/12/2025-WW-header-3.png
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250516T083000
DTEND;TZID=America/Toronto:20250516T160000
DTSTAMP:20260317T140621Z
CREATED:20260317T140621Z
LAST-MODIFIED:20260317T140621Z
UID:10000180-1747384200-1747411200@digitalhealthcanada.com
SUMMARY:2025 Synthetic Data Summit
DESCRIPTION:The 2025 edition of the Synthetic Data Summit will focus on new developments in the area of synthetic data generation and its promise to help solve some of the difficult challenges in healthcare. The specific use cases will be privacy (data access and data sharing)\, data augmentation\, and de-biasing datasets. These will be examined for real world data and clinical trials data. The perspective taken will be applied\, with an emphasis on practical solutions\, case studies\, regulations\, adoption\, and expected future developments. With a unique combination of industry\, academic\, government\, and regulator presenters planned\, this one-day summit will provide attendees with a well-rounded look at synthetic data generation and how it may be leveraged.
URL:https://digitalhealthcanada.com/event-calendar/2025-synthetic-data-summit/
LOCATION:PHI Centre\, 407 Saint-Pierre Street\, Montreal\, QC\, H2Y 2M3\, Canada
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250521T120000
DTEND;TZID=America/Toronto:20250521T130000
DTSTAMP:20260317T140621Z
CREATED:20260317T140621Z
LAST-MODIFIED:20260317T140621Z
UID:10000178-1747828800-1747832400@digitalhealthcanada.com
SUMMARY:AI and Health Equity: Re-Imagining the Future of Clinical Decision Support
DESCRIPTION:Artificial intelligence (AI) is increasingly being explored to support a wide range of healthcare applications. Over the past decade\, a major focus has been on training machine learning models to predict clinical outcomes and risks\, with the goal of enhancing decision-making around assessment and care\, referred to as clinical decision support. The hope is that integrating predictions into the clinic at the point of decision-making will meaningfully impact patient care\, translating to more accurate assessment\, personalized treatment\, and targeted prevention or intervention. \nYet\, a growing body of evidence shows that AI models used in healthcare can reinforce or even amplify existing biases\, particularly against marginalized or underrepresented patient groups. Although clinical oversight\, or the presence of a “human in the loop”\, is often proposed as a safeguard\, it remains unclear whether this approach is sufficient to prevent AI from exacerbating health inequities when deployed. \nIn this presentation\, we explore the health equity implications of AI-based clinical decision support for assessing inpatient violence risk in acute psychiatric settings. Drawing on our interdisciplinary research at the Centre for Addiction and Mental Health (CAMH)\, we present findings from two studies that demonstrate how social and systemic biases can become embedded in training datasets\, which\, in turn\, influence AI model predictions in ways that disadvantage socially and racially marginalized patients. We also share insights from our experiments in human-computer interaction\, which suggest that clinical oversight may not be sufficient to mitigate these biases. We conclude with an overview of our future research\, which argues for the need to re-imagine how we design and deploy AI in contexts where it runs the risk of exacerbating existing health inequities.
URL:https://digitalhealthcanada.com/event-calendar/ai-and-health-equity-re-imagining-the-future-of-clinical-decision-support/
LOCATION:Online
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BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20250528T120000
DTEND;TZID=America/Toronto:20250528T130000
DTSTAMP:20260317T140620Z
CREATED:20260317T140620Z
LAST-MODIFIED:20260317T140620Z
UID:10000181-1748433600-1748437200@digitalhealthcanada.com
SUMMARY:Leveraging Technology for an Enhanced Model of Care for Treatment of Mental Health and Addictions
DESCRIPTION:Innowell is focused on transforming the way the world approaches mental health and addictions. We have developed a data-driven platform for mental health and addiction clients in individual clinical settings\, hospitals and larger health systems. The Innowell platform provides personalized\, measurement-based care\, equipping clinicians with a decision support system that enables informed clinical decision-making and allows patients to be more engaged in their mental health care – all backed by over fifteen (15) years of comprehensive research and clinical validation at the Brain and Mind Centre at the University of Sydney. Quantitative and qualitative data supports the utilization of technology in the clinical setting to improve the individualized care pathways for clients and patients. Utilizing an emental health platform allows for a better use of our health human resources and incorporates models of care that support clients in receiving the best care at the right time with the right level of intervention. \nLearning Objectives: \n\nPersonalized care using technology to provide real time MHA monitoring\nProactive decision-making using Measurement Based Care
URL:https://digitalhealthcanada.com/event-calendar/leveraging-technology-for-an-enhanced-model-of-care-for-treatment-of-mental-health-and-addictions/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://digitalhealthcanada.com/wp-content/uploads/2024/12/2025-WW-header-1.png
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