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Interoperability and automation: How we handle the increasing complexity of data sources

In the last few years, the evolvement in decentralized trials, patient reported outcomes and real world evidence studies resulted in an increasing volume and complexity of data. While the adoption of new and modern data exchange techniques was slow in our industry, it now becomes evident that these techniques are necessary to maintain the oversight, quality and traceability of data. What has changed in interoperability and the corresponding automation? And why is this relevant for the statistical programmer and analyst? In this 30-minute webinar, we will also dive into the question whether we can do without any human intervention in the clinical data ingestion and transformation process. This presentation will be illustrated by Achilleas Zaras with examples of the eClinical elluminate platform.


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