How to Align Teams on Health AI Implementations?
Featured Speakers

Mr.Jose Garcia
Moderator

Mr.Ruban Kanapathippillai
Moderator

Mr.Miller Rajendran
Speaker

Ms.Sarah Bundy
Speaker
About this Webinar
The 18th edition of SenzMate’s ConnectingTheFuture Webinar Series explores how to align cross-functional teams to turn AI investments into measurable healthcare improvements. This session dives into practical strategies for collaboration, shared goal-setting, workflow integration, and governance frameworks that support sustainable implementation.
As healthcare organizations scale AI-driven solutions, this discussion highlights how effective change management, stakeholder buy-in, and clear accountability can determine whether projects stall or succeed.
Join industry experts as they share real-world experiences and actionable insights for building aligned teams that drive meaningful, responsible health AI deployments.
Mr.Jose Garcia
Moderator
Mr.Ruban Kanapathippillai
Moderator
Mr.Miller Rajendran
Speaker
Ms.Sarah Bundy
Speaker
Ms.Andrew Nguyen
Speaker
Mr.Archana Puthran
Speaker
Ms.Dania Amir
Speaker
Previous Webinars
Catch up on our past sessions and insights

Healthcare AI Leadership: Human Systems
The future of healthcare isn't just about smarter algorithms - it's about smarter leadership. SenzMate & UKDHC are proud to co-create Healthcare AI Leadership: Human Systems — a webinar bringing together some of the brightest minds in digital health.

Health Data & New Models of Care: Use Cases
What if the biggest barrier to better healthcare isn’t a lack of data—but the inability to turn that data into meaningful action? Across many healthcare organizations, fragmented systems and inefficient workflows make it difficult to transform health data into timely clinical insights.

How to Align Teams on Health AI Implementations?
What if the biggest barrier to successful healthcare AI isn’t technology—but team alignment? From clinicians and data scientists to IT leaders and executives, misaligned priorities and siloed communication often prevent AI initiatives from delivering real impact.
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