Data Strategies & Transformation Study Results
Published by DIA Therapeutic Innovation & Regulatory Science
The purpose of the Tufts eClinical Solutions Data Strategies and Transformation study was to further quantify and understand the magnitude and impact that expanded data volume, sources and diversity are having on clinical trials. Specifically, the study was designed to inform how life sciences organizations are managing the growing volume and variety of clinical research data to support drug development activities and prepare for new capabilities like artificial intelligence. Read more
Beth Harper BSOT, MBA
Michael Wilkinson MPH
Raj Indupuri MBA
Sheila Rocchio MBA
Ken Getz MBA
Drug Developers Respond to Evolving Clinical Data Demands, Prepare for Digital Transformation
Respondents with a formalized data strategy reported less difficulty with data activities such as ingesting, integrating and analyzing data and a two week time cycle time advantage.
Time Increase in LPLV to DBL Cycle Time Since 2017
of Sponsors have Implemented a Formal Data Strategy
3 out of 4
Are Expanding Data Scientist Role
Learn More & Share the Tufts CSDD-eClinical Study Results
Apply insights from the study to your organization with a more personalized in-depth review of the study results. Contact us for a tailored, live presentation of the Tufts CSDD-eClinical study data for you and your colleagues.
How does your organization compare?
If you are looking for help in making a case for why your organization needs a formalized data strategy or to understand how your organization aligns with those organizations that are prepared to take advantage of advanced analytics, AI and machine learning, the data from this study can help.