Evolving Your SCE to Accelerate Clinical Trials

Clinical trial data continues to grow in complexity and variety, and the use of data continues to expand beyond submission-pathway statistical analyses. Maximizing the value of data while maintaining regulatory rigor and reducing cycle times is an increasing challenge for data managers, biostatisticians, statistical programmers, and data scientists. A statistical computing environment (SCE) is a necessary step to ensure that results are generated in a way that is transparent, auditable, and secure. However, as the needs evolve, so must our understanding of the technology used to support those needs.

Meet the increasing demands of modern clinical trials using elluminate and learn more on SCE within the elluminate Clinical Data Cloud and how it provides an analytic environment fully integrated with an end-to-end data platform, allowing teams to leverage data, metadata, standards, and code in a way that can evolve at pace with today’s trials. In this webinar, you will learn more about how the elluminate SCE takes advantage of a platform approach to increase automation, maximize data value, and accelerate trials.

What You Will Learn

Join this 30-minute webinar to learn how elluminate SCE:

• Increases development efficiency by providing access to all data and metadata across studies from a single location
• Streamlines workflows by tracking data dependencies and scheduling programs to execute automatically upon updates to data
• Increases rigor by enabling traceability and reproducibility of results through unified version tracking of code, data, metadata, and execution environment

Watch the recording

Who Should Attend?

• Clinical Programmers
• Biostatistics
• Data Standards Specialists
• External Data Leaders

Presenter

Nathan Johnson

Vice President, Digital Innovation, eClinical Solutions

Nathan Johnson is Vice President, Digital Innovation at eClinical Solutions. Nathan has 20 years experience in clinical research as an innovator and programmer with expertise in statistical analysis and reporting, SAS programming, standards development, and data management. He is passionate about reshaping clinical trials through digital transformation, intelligent technology, and increased automation. Nathan has a Masters in biostatistics from Case Western Reserve University.