AI is moving rapidly from headline hype to operational reality but many organizations are still struggling to translate promise into measurable value.
In clinical research, success is less about what AI can do, and more about how effectively it is deployed, supported by strong data foundations, clear governance, and real-world application.
We hosted two exclusive AI in Clinical Research roundtable discussions, in London and Boston, to discuss these opportunities and how our industry can use AI to its best advantage. We’ve summarized the expert perspectives and real-world experience brought to the table in this report, which explores:
- Why AI adoption is constrained by data infrastructure and access
- The gap between AI pilots and scaled deployment
- Why much of the industry is still focused on promise over proven value
- How governance and digital trust are becoming competitive differentiators
- The growing importance of AI literacy across teams
- How to define effective human–AI collaboration models
- Why incremental progress drives long-term transformation
At Veramed, these themes strongly resonate with how we think about the responsible and effective use of AI in clinical research, delivering incremental value today while building towards genuinely transformative impact over time.
Our focus is on applying AI in ways that support our people, our clients, and the patients ultimately relying on clinical research outcomes.
We welcome your thoughts on where you see AI making the biggest impact to increase productivity and help accelerate clinical development timelines.
Speak to our AI experts and continue the conversation:
