Clinical trials often struggle with fragmented data sources, creating inefficiencies and delays. In this webinar, the featured speakers will explore how clinical data integration unifies disparate systems to deliver actionable insights.
Attendees will discover real-world strategies for improving collaboration, accelerating trial timelines and driving smarter decisions through connected, interoperable data ecosystems.
The speakers will also discuss how integrated data platforms enable smarter, more timely decisions and ultimately support improved trial success rates.
Register for this webinar to explore how clinical data integration can support smarter trial decisions and more efficient operations.
Speakers
Jeffrey Warnick, VP of Engineering, TriNetX
Jeffrey Warnick is a graduate of Tufts University, with deep experience in life sciences and real‑world data. He currently contributes to the global healthcare research ecosystem through his work at TriNetX, a leading health analytics platform used by top pharmaceutical companies, CROs and academic institutions.
Jeffrey brings a strong academic foundation to his work, combining analytical rigor with a passion for advancing clinical research efficiency and real‑world evidence generation. His career at TriNetX reflects his commitment to enabling data‑driven insights that accelerate medical innovation and improve patient outcomes.
Known for his collaborative approach and adaptability within fast‑moving, tech‑enabled healthcare environments, Jeffrey has built a reputation as a thoughtful, solutions‑oriented contributor within the Greater Boston life sciences community.
Message Presenter
Abhishek Chatterjee, Head of Product Suite, Senior Director, Novo Nordisk
Abhishek leads initiatives focused on product innovation and integrated solutions within the life sciences domain. With a strong background in digital transformation and AI-driven strategies, Abhishek has been instrumental in advancing data interoperability and product portfolio optimization. Abhishek is recognized for turning complex concepts into practical applications, such as during industry summits where Abhishek facilitated hands-on sessions on AI planning, algorithmic governance and real-world implementation of advanced technologies for clinical and operational excellence. Abhishek’s work emphasizes strategic product development, data-driven decision-making and fostering collaboration across global teams, aligning with Novo Nordisk’s mission to deliver innovative healthcare solutions.
Message PresenterWho Should Attend?
This webinar will be of value to:
- Clinical Operations Leaders seeking to streamline workflows and reduce delays
- Data Management Professionals interested in improving data quality and integration
- Clinical Trial Sponsors and CROs looking for strategies to accelerate timelines and enhance collaboration
- IT & Technology Teams in life sciences focused on building interoperable systems for clinical research
- Regulatory and Compliance Specialists wanting to understand how integrated data supports compliance
What You Will Learn
Attendees will gain insight into:
- Why fragmented data slows clinical trials: Understand the common challenges caused by siloed systems and disconnected data sources
- How integrated data platforms create efficiency: Explore how interoperability and unified data ecosystems accelerate timelines and improve collaboration
- Real-world strategies for transformation: Gain actionable insights and best practices for implementing integrated data solutions in clinical trial operations
- Impact on decision-making and outcomes: See how connected data drives smarter decisions and improves trial success rates
Xtalks Partner
TriNetX
TriNetX is a global network of healthcare organizations and life sciences companies driving real-world research to accelerate the development of new therapies. Through its self-service, HIPAA, GDPR, and LGPD-compliant platform of federated EHR, datasets, and consulting partnerships, TriNetX puts the power of real-world data into the hands of its worldwide community to improve protocol design, streamline trial operations, refine safety signals, and enrich real-world evidence generation.
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