The data from this study can help you understand how clinical data sources are growing, how that is impacting the industry and how to mitigate disruption.
Tufts-eClinical Solutions
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
Authors
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.
40%
Time Increase in LPLV to DBL Cycle Time Since 2017
Only 1/3
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
Live Presentation
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.
Infographic (.pdf)
The Evolution of Clinical Data Strategies & Digital Transformation
December 2020
The evolving eClinical landscape:
“Companies with a formal data strategy are faring better”
Learn more study insights from the Tufts-eClinical Solutions Data Strategies & Transformation Study Manager, Beth Harper, in this short video interview.
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.