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VIEW ROLESUnlocking greater potential through richer context, enhanced capabilities and intelligent initiative that complement human expertise
The clinical research landscape is evolving rapidly, and with it, the expectations for how data is managed and operationalized. In this webinar, the featured speaker will explore how sponsors and CROs can embed AI directly into clinical workflows to drive smarter, faster decisions and empower every functional role with real-time visibility and control.
This session highlights how agentic AI streamlines processes to reduce manual effort, enhance collaboration and optimize data flow. By digitizing core business information and operational processes, organizations create a harmonized environment where AI can act with greater context and precision, facilitating a broader scope of task automation and empowering human experts to make more informed decisions.
Attendees will see how AI-enabled systems are transforming clinical data management by enabling intelligent automation, reducing administrative burden and unlocking new levels of agility across teams.
Register now to explore how organizations can benefit from a more transparent, efficient and robust data strategy in study startup.
Key takeaways:
- Unified Data Flow, Unified Vision
- Break down silos and connect every stage of the data lifecycle — from collection to submission — within a unified, AI-embedded ecosystem
- Empowering Human Expertise
- By reducing administrative workload and transparently embedding AI into workflows, allowing data reviewers and medical monitors to focus on high-value, decision-critical tasks
- Empower data reviewers
- with streamlined, cross-functional visibility and tools that support faster, more iterative review cycles — enabling earlier risk identification and more agile decision-making
- Foundation for Future-Ready RBQM
- This model supports a harmonized view of trial risk, enabling proactive risk management and setting a new benchmark for quality and compliance
Speakers:
John Gabra,
Director of Data Science & Innovation, IQVIA
For more information and to register, click here.