P251: The Impact of Data Standards and Digital Data Flow (DDF) on Operational Efficiency
Poster Presenter
Kimberly Tableman
Founder & CEO
Espero United States
Objectives
A top-10 pharma case study to showcase the impact of how data standards and Digital Data Flow (DDF) automates data flows, and enabling integration with downstream systems, leading to faster study execution and improved data quality.
Method
In 2024 a 4 month collaborative analysis with a top-10 Sponsor was performed on the real-world impact of DDF and how it accelerates study startup timelines vs the standard way of working.
Results
Key results: DDF and Data standardization has led to automation and facilitated seamless integration with downstream systems, accelerating study start-up by up to 67 days; by automating eCRF builds and dynamically generating study documents like the ICF and CSR.
Conclusion
The potential of Digital Data Flow extends far beyond its immediate benefits. It represents a fundamental shift in how clinical trials are conducted, shaping an industry that is faster, smarter, and more connected.
Digital Data Flow represents a transformative leap in clinical research and is reshaping the landscape of clinical trials. By automating data exchange and ensuring interoperability, these initiatives are improving operational efficiency, accelerating the development of life-saving treatments, and enabling groundbreaking innovations in clinical research. The future of clinical trials is digital, automated, and standardized.
