Clinical research teams everywhere are talking about AI in clinical trials, but many are afraid to get started. Despite having world-class technology, organizations struggle with AI adoption not because of technical limitations, but due to missing social enablers that bridge the gap between innovation and implementation.
Successful AI transformation requires more than just the right tools. It starts with intentional leadership, organizational awareness, and effective change management for artificial intelligence initiatives.
In our guide, we explore the discovery-driven approach to sustainable AI adoption in clinical trials. Here’s what you’ll learn:
- Foundation-First Strategy - Why to establish AI strategy before change management
- Strategic Discovery Framework - How to map organizational complexity and identify quick wins
- 3-Phase Implementation Approach - From assessment to foundation building to managed deployment
- Navigating Organizational Complexity - Address variation in “standardized” processes across pharma, CROs, and vendors
- …and more
