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
Beth Harper BSOT, MBA
Michael Wilkinson MPH
Raj Indupuri
Raj Indupuri MBA
Sheila Rocchio
Sheila Rocchio MBA
Ken Getz
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.

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.

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