Leveraging Big Data to Optimize Study Planning and Speed Patient Enrollment
Sponsored by: Covance
- Big Data
- Clinical Trials
- Patient Recruitment
Date: 13 October
Time: 4PM London/11AM New York
Patient recruitment and enrollment is one of the most critical opportunities to improve the clinical trial execution process. Twenty to sixty percent of the total clinical development timeline is spent on identifying and recruiting the right patients.
Through Covance's proprietary Xcellerate® knowledgebase with over 175,000 individual investigators and our LabCorp patient database with over 70 million de-identified patients, we are able to leverage the two databases to significantly improve our study planning and increase our site optimization towards faster patient enrollment
Join our webinar as we highlight solutions to overcome the enormous challenge of study planning and patient recruitment. You'll hear case studies and see walkthroughs of how we apply investigative performance insights and match up patient densities to address the challenge of adequate and quality recruitment. Learn how deep, broad data throughout a trial's implementation can create significant advantages to drive your optimization.
Caroline Morvan-Beccavin, PhD,
Senior Director, Covance Clinical Development Services
Dr. Morvan-Beccavin leads high quality end-to-end business development strategies at Covance to help drive and implement therapeutic area-specific initiatives and achieve results in global, virtual and complex environments. She has worked with Covance since 2006, starting with global clinical trial management where she controlled a portfolio of phase I-IV clinical trials from setup to closure, mainly in oncology, infectious and cardiovascular diseases for a wide variety of pharmaceutical companies.
Key Learning Objectives
- Find out how you can optimize your study placement
- Understanding how we can efficiently identify patient densities
- Hear how investigator performance can be matched to recruited patients
- Learn how to pressure test your protocol design using aggregate data
- Clinical Operations
- Regulatory Affairs
- Clinical Outsourcing
- Project Managers