Mitigating Risk, Improving Results: A Better Approach to Protocol Deviations
Webinars
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Innovation in clinical development continues to accelerate and decentralized trial models are becoming more widely adopted. As a result, the volume of clinical trial data from a variety of sources continues to proliferate, making end-to-end clinical data flow complex. Leveraging the right technology provides an opportunity to automate end-to-end data flow for improved data quality, greater efficiency and streamlined production of submission deliverables.
The elluminate Clinical Data Cloud serves as a foundation for digital trials, providing a centralized location for all clinical and operational data, regardless of source. The elluminate Statistical Computing Environment (SCE) is fully integrated within the elluminate Clinical Data Cloud. This enables the production of submission or exploratory analysis outputs in a way that is automated, transparent, auditable and reproducible.
This webinar will cover the core capabilities of elluminate SCE. The featured speakers will highlight how built-in automation and access to data, standards and mappings can be leveraged to maximize reuse and increase programming and analysis efficiencies.
Join this webinar to learn the benefits of a clinical data platform that automates data ingestion, standardization and publishing.
Who Should Attend
- Clinical Programmers
- Statistical Programmers
- Biostatisticians
- Data Scientists
- R&D IT Leaders
What You Will Learn
- Benefits of leveraging a clinical data platform that automates the ingestion, standardization and publishing of all the clinical and operational data
- Advantages of utilizing a validated environment with built-in automation and access to all data, metadata, programs and results for the production of submission or exploratory analysis outputs
- How taking a platform approach allows greater accessibility, interoperability, reusability and automation in statistical analyses and programming processes
Presenters
Vice President, Product Management, eClinical Solutions
Nathan Johnson is Vice President of Product Management at eClinical Solutions. With 20 years of experience in clinical research, Nathan is an accomplished innovator and programmer with deep expertise in statistical analysis, SAS programming, standards development, and data management. He is passionate about revolutionizing clinical trials through digital transformation, intelligent technologies, and enhanced automation. Nathan holds a Master’s degree in Biostatistics from Case Western Reserve University.
Business Consultant, ClinLine
Berber Snoeijer started in clinical research in 1997 as a biometrician and has since then worked with clinical data in different functions. In 2001 she started a CRO, Biometrics Support, aiming at the data management, data analysis and reporting of clinical trials. She switched in 2011 to work as a R&D manager dedicated to investigate and utilize the potential of real world data from electronic health records. This resulted in many different solutions including a full reporting system to give feedback information to clinical research professionals. She is experienced with software and database engineering, process engineering, and improving efficient utilization and interactions of people based on management drivers. Nowadays, she uses these skills and knowledge to help life science companies assess, design, and improve business solutions and processes at smaller and larger scales.
