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Empower your Customers to Support Tomorrow’s Breakthroughs

Clinical trial sponsors are counting on you to deliver more capabilities and competitive advantages. elluminate® gives you the power and flexibility to do exactly that.

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All Your Customer’s Data, In One Place, Impactfully Visualized

elluminate®’s robust data integration capabilities seamlessly aggregate data, no matter the volume or number of data sources. Even if sponsors are using EDCs and other solutions outside of elluminate®, you can still count on the platform to provide an easy-to-use, unified view of trial activities.

Solving Sponsors’ Challenges with the Full Power of elluminate:

Clinical trials are getting more complex and elluminate® is uniquely suited to handle the growing volume, variety, and velocity of clinical data. The elluminate® Clinical Data Cloud is purpose-built to support the management of complex data streams efficiently. By offering sponsors everything that elluminate® offers, you can effortlessly scale to meet the demands of any trial, irrespective of size or complexity.

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Accelerate Clinical Trial Outcomes

By leveraging elluminate®, you can help your clients significantly reduce the time-to-market for new drugs and therapies. The platform’s efficient data handling and insightful analytics empower researchers to identify trends faster, anticipate challenges, and make informed decisions.

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elluminate for CROs – Platform Features that Drive Value for Sponsors

Mapper

Powerful data transformation, unification and automation from diverse data sources and formats without programming for submission and analytic needs.

Data Central

All trial data from every source, in one place for integrated review- listings, patient profiles, analytics, queries and issue management.

Clinical Analytics

Comprehensive visualizations and reporting that support safety and efficacy decisions within and across trials. Operational analytics that help proactively manage your trial.

clinical data mgmt

2024 Industry Outlook: Driving Tomorrow’s Breakthroughs with Clinical Data Transformation

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