Automating an End-to-End Clinical Data Workflow with a Platform Approach

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.

Speakers

Nathan Johnson, Vice President, Digital Innovation at eClinical Solutions

Nathan is an experienced SAS programmer with expertise in statistical analysis and reporting, standards development and data management for clinical research. He is passionate about rethinking data mapping and transformations through increased standardization and automation. Nathan is interested in asking the right questions and finding innovative and creative solutions, making the complex simple, and helping every process become more efficient and more effective.

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Berber Snoeijer, 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, Biometric 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. For efficient processes and use of the data, she experienced and used the skills of technical (software and database) engineering, process engineering and improving efficient utilization and interactions of people based on management drives. Nowadays, she uses these skills and knowledge to assess, design and improve business solutions and processes on smaller and larger scale.

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