Patricia Thaine

Healthcare organizations are sitting on some of the richest clinical and operational datasets in the world — data that could dramatically improve patient outcomes, accelerate research, and reduce system-wide costs. Yet more than 80% goes unused, trapped behind fragmented privacy regulations such as PHIPA, Law 25, and HIPAA, outdated governance processes, and infrastructure not designed for modern analytics. The result: stalled AI pilots, research delays measured in months, and teams unable to access the data required to drive transformation. Leave with a blueprint to:

• Enable secure, privacy-preserving access to clinical and operational datasets using techniques such as automated de-identification, federated analytics, and structured data-access workflows.
• Streamline research and data-sharing processes across PHIPA, Law 25, and HIPAA using standardized governance patterns and accountable decision-making frameworks.
• Move stalled AI pilots into production by aligning privacy, security, data, and clinical teams around a shared risk model and implementation roadmap.
• Operationalize cross-border and cross-institutional data collaborations that meet regulatory obligations while unlocking major efficiency gains.

Accelerate innovation while upholding the highest standards of privacy, safety, and trust.