Fragmented to connected: Reimagining clinical workflows with AI

Clinicians today have access to more patient data than ever before, yet critical information remains scattered across disconnected systems, making it difficult to deliver coordinated, proactive care. Join clinical leaders for a discussion on how healthcare organizations are using AI to connect fragmented data, surface meaningful insights, and enable coordinated action across care teams. We'll explore where AI is delivering value today, where it still falls short, and what it takes to implement AI in ways that support clinical judgment, fit naturally into workflows, and improve patient care.

Key takeaways:

A practical framework for evaluating clinical AI across data, insight, and action
Learn how to assess AI solutions based on their ability to transform fragmented information into meaningful clinical action.

What separates evidence-based, clinically grounded AI from generic tools
Understand the characteristics of trustworthy AI and why clinical context matters for adoption and impact.

How to adopt AI in ways that drive coordinated action and support proactive care
Explore practical considerations for implementing AI within clinical workflows while preserving clinician trust and judgment.