Boost Patient Recruitment With Data-Centric Trial Planning

Posted by Venkat Sethuraman on Fri, Aug 16, 2019

Denise N. Bronner, Gaurav A. Singh and Ray Zhong co-wrote this blog post with Venkat Sethuraman

A common struggle for pharmaceutical companies is poor patient recruitment for clinical trials. As a consequence, 80% of clinical trials fail to meet their enrollment goals, suffer delayed timelines and absorb skyrocketing R&D costs. Ultimately, the patient suffers from delays in the release of needed therapies. Currently, pharmaceutical companies are partnering with trial matching startups to enhance clinical study design, matching and data collection. With analytics and platforms, pharmaceutical companies are beginning to streamline the clinical trial process in hopes of increasing new entrants to the market.


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Advancements in Data Science and Big Data Technologies Will Change the Way Clinical Decisions Are Made Today

Posted by Venkat Sethuraman on Wed, Apr 03, 2019

Venkat Sethuraman co-wrote this post with Jessica Rine, Sharma R D and Francine Leech

The 10th-annual Summit for Clinical Operations Executives (SCOPE) took place Feb. 18-21 in Orlando, and it drew more than 3,000 participants from life sciences companies around the world. The conference covered advanced and innovative solutions in clinical trial planning, management and operations.

While the attendees represented different functional areas within clinical operations, they were united around a common question: How can data be used to bring value, provide actionable insights and enhance the clinical trial process?


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