IQVIA at SCDM
Raleigh Convention Center
September 14-17, 2026
Booth #219
Harness the power of Human Data Science - the intersection of healthcare and technology
For information or to schedule a meeting:
Visit IQVIA at Booth #219 to meet with our Data Science, Safety and Medical (DSSM) experts and explore how we’re supporting pharma partners with smarter, faster and more connected approaches to Data Management and Clinical Data Flow.
We’d be delighted to walk you through our Data Flow Ecosystem, including:
- Connected Data Review (CDR) for unified, intelligent data insights
- Real‑time Data Cleaning (RTDC) for continuous quality improvement
- Push Button Start-Up (PBSU) to accelerate study activation
- Electronic Data Capture Recommender (EDCR) for optimized build strategies
- Client Patient Tracker for enhanced patient visibility and operational efficiency

Attend our session on Tuesday, September 15th 11:30am-12:30pm
AI in Clinical Data: Hype vs. Reality—What’s Working, What’s Not?
Artificial Intelligence (AI) is everywhere in clinical data management—promising to revolutionize everything from data cleaning and patient safety to trial efficiency and regulatory compliance. But how much of this promise is real, and how much is simply hype? Are we truly seeing transformative results, or are we still navigating a landscape of inflated expectations and unproven solutions?
This highly interactive Fishbowl session invites you to step into the center of the conversation. We’ll break down the barriers between speakers and audience, creating a dynamic forum where anyone can join the discussion, share experiences, ask tough questions, or challenge prevailing assumptions about AI in clinical data.
We’ll kick off with a few real-world stories—both successes and setbacks—from practitioners who have implemented AI solutions in clinical data management. From there, the conversation is open:
What’s actually working with AI in clinical data, and what’s not?
How do you separate marketing promises from meaningful results?
What are the biggest barriers to adoption—technology, people, process, or something else?
How do you measure the true impact of AI on data quality, compliance, and trial outcomes?
What ethical, regulatory, or operational risks should we be talking about more openly?
Whether you’re an AI enthusiast, a skeptic, or simply curious, this session is designed to surface honest insights, practical lessons, and new perspectives. You’ll hear from peers who have tried, failed, and succeeded with AI—and you’ll have the chance to add your own voice to the mix.
By the end of the session, you’ll walk away with a clearer understanding of where AI is delivering value in clinical data management, what pitfalls to avoid, and what skills and strategies are needed to move from hype to reality. Join us for a lively, no-holds-barred conversation that promises to challenge, inform, and inspire.
Speaker

John Gabra
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