Agenda - Day 2

Gain insight into today’s sessions so you can get the most out of your conference experience.

Mental health data represents one of healthcare’s most valuable yet underutilized resources, characterized by unprecedented complexity, fragmentation, and unique governance challenges that traditional healthcare frameworks cannot address. Move beyond data collection toward data activation by creating trusted infrastructures that accelerate discovery, enable precision mental health interventions, and build the foundation for responsible AI innovation. Master the success factors to:

• Navigate the distinctive challenges of sensitive data, from managing privacy concerns and reducing stigma to handling the inherent heterogeneity that makes this data both powerful and problematic.
• Execute successful multi-modal data integration to develop more holistic pictures of your patients.
• Build stakeholder trust while maximizing data utility.

Achieve mental health innovation by transforming fragmented data into meaningful, equitable, and actionable insight.

Canadian health systems are rapidly evolving beyond data warehousing and dashboarding — toward real-time intelligence that supports day-to-day clinical and operational decisions. Embed insights directly into workflows across emergency departments, surgical units, and community health settings. Take back to your office strategies to:

• Embed real-time analytics into clinical and administrative decision-making processes.
• Shift governance and design toward operational outcomes, not just reporting metrics.
• Navigate the cultural and technical challenges of moving from centralized reporting to distributed intelligence.
• Build cross-functional teams that accelerate adoption of insights across the organization.

Advance your organization from passive data collection to active, insight-driven operations that deliver faster, safer, and more equitable care.

Take a deep dive down the innovation rabbit hole in one of our roundtable discussions. Share common challenges and best practices with your healthcare data peers on a topic of your choosing:

1. The Role of Patients as Data Stewards: Explore new models for engaging patients in the governance, access, and stewardship of their own data — from consent design to co-ownership and dynamic permissions.
2. Scaling AI Ethics Oversight without Slowing Innovation: Discuss practical ways to build lean, scalable AI governance frameworks that manage risk while keeping innovation timelines intact.
3. Safe Entry Points for Generative AI in Healthcare
   What GenAI use cases are emerging in Canadian healthcare? Explore low-risk, high-value pilots (e.g. summarization, document classification, patient comms) and the governance required to scale safely.
4. Future Metrics —Measuring Value, Not Just Volume: Rethink performance and success metrics for healthcare data initiatives, prioritizing equity, outcomes, experience, and long-term system value over traditional activity-based KPIs.
5. Making Insight Flow —Reducing Friction from Insight to Action in Clinical & Admin Settings. Bridge the final mile between analytics and operational change by identifying barriers to adoption, workflow misalignment, and credibility gaps.

• Explore the latest data analytics technologyand strategies with our industry-leading sponsors.
• Share your challenges with the biggest innovatorsin the business.
• Schedule one-to-one private meetingsfor personalized advice.

Hôpital Montfort began its data transformation with a clear-eyed assessment of its current state: fragmented governance, limited scalability, and inconsistent data literacy. To address these gaps, Montfort designed a strategic roadmap anchored by a robust governance framework, phased policy development, and technology modernization. Adopt best practices to:

• Establish a centralized data governance model by defining clear roles and responsibilities and implementing a Microsoft Fabric Lakehouse architecture for scalable, real-time analytics.
• Optimize an AI-ready, compliant, and agile data ecosystem — enabling advanced analytics, responsible AI deployment, and continuous innovation across the organization.

Master your healthcare data strategy with a governance-first approach that enables innovation while ensuring trust, compliance, and scalability.

Privacy in healthcare is no longer just a legal checkbox — it’s a strategic imperative that shapes public trust, system design, and the future of AI adoption. With sweeping reforms like Bill C-27 and evolving provincial frameworks (PHIPA, HIA), healthcare organizations must rethink how privacy is embedded across people, processes, and platforms. Create a roadmap to:

• Build privacy-by-design into AI models, analytics platforms, and health data pipelines.
• Implement advanced de-identification techniques while protecting data utility.
• Introduce algorithmic transparency, auditability, and AI impact assessments.
• Empower patients with consent tools, access rights, and data portability features.
• Optimize data sharing through CIHI and interoperability through the Charter of Rights.

Adapt healthcare privacy from a compliance exercise into a foundation for trusted, human-centred innovation.

As the demand for evidence-based care and research accelerates, healthcare organizations are increasingly looking to empower clinicians and researchers with direct access to the data they need — without relying on overburdened technical teams. Build modern self-service analytics platforms that enable frontline staff and researchers to query, visualize, and model data — safely and at speed. Receive a blueprint to:

• Build intuitive data access tools that align with clinical workflows and research protocols
• Implement governance frameworks that support safe self-service use of sensitive health data
• Curate reusable data assets, definitions, and query templates to reduce duplication
• Enable responsible innovation by embedding ethics, privacy, and reproducibility into platform design

Transform self-service into it’s a strategic lever for unlocking the full value of health data while protecting what matters most.

Sunnybrook Hospital has embarked on an ambitious journey to elevate its analytics maturity by building out a modern reporting infrastructure that supports both real-time decision-making and long-term forecasting. Leverage Power BI, predictive modelling techniques, and DAHC’s ETL querying capabilities to integrate data from multiple clinical and operational systems. Get a blueprint to:

• Integrate millions of rows of data across multiple systems to enable real-time and retrospective analysis
• Streamline reporting using Power BI for both technical users and frontline decision-makers
• Built predictive modelling capabilities to support operational and clinical planning
• Overcame the complexities of healthcare-specific data formats and reporting hierarchies

Empower technical teams to scale reporting pipelines for diverse internal stakeholders.

With over 100,000 cases registered in its system, Acclaim Mobility is turning disability and absence data into a proactive tool for healthcare workforce resilience. In a sector already strained by physical and mental health challenges, this session explores how data-driven insights can help predict, prevent, and manage employee disabilities—from repetitive strain to mental health-related absences. Take back to your organization strategies to:

• Use trend analysis to identify and address high-risk roles and conditions early
• Build predictive models that reduce avoidable absences and lost productivity
• Apply mental health data to shape more responsive employer supports
• Translate frontline case data into actionable workforce strategies

Empower HR, health and safety, and clinical leaders to act on data—not just react to it—by building systems of care that support those who deliver care.

As a growing healthtech startup, Dr. Bill set out with a bold vision: give physicians more time with patients and less time wrestling with billing. But to do that, they needed to build an internal analytics capability from the ground up—one that could serve the business today while scaling for the future. Leave with a practical strategy to:

• Build foundational internal data assets and dashboards in a lean environment
• Prioritize early use cases that deliver measurable business impact
• Support physicians with data-informed tools that reduce administrative burden
• Evolve toward predictive capabilities while keeping patient experience at the centre

Fuel smarter healthcare delivery and better outcomes for patients with a practical roadmap for your analytics practice

Review the key solutions and takeaways from the conference. Source a summary of action points to implement in your work.