Peter Papadakos

Canada doesn’t have a single health system — it has twelve. Each province and territory governs its own healthcare delivery, creating structural fragmentation that challenges national coordination, interoperability, and innovation. Now is the time to invest in provincial and regional data strategies that respect jurisdictional autonomy while enabling pan. Canadian insight, performance measurement, and AI readiness. Key takeaways:

• Develop decentralized governance that enables localized data strategies
• How to align data priorities across ministries, health authorities, and care providers
• Enable interoperability and federated data models without centralization
• Data leadership strategies that drive national digital health and AI initiatives
• Privacy!!!

Drive better patient outcomes with a strategy that bridges Canada’s health data divide

In an era of growing complexity, constrained resources, and mounting demands for accountability, data is no longer optional — it’s foundational. But without committed executive leadership, even the best analytics capabilities risk being underused or misaligned. Develop healthcare executives as cultural catalysts. Take back to your organization strategies to:

• Find the right balance between short term iteration and long term data transformation to build the credibility of your data organization.
• Execute human based design strategies that accept the political realities of the healthcare system rather than resisting them.
• Incentivise frontline and clinical teams to collect and use data with purpose, not just compliance

Transform healthcare from the inside out by championing data as a core asset in organizational strategy and decision-making