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Three Data Trends to Consider Now When Developing Your Decentralized Clinical Trial Strategy


Are you looking for ways to develop a robust clinical data management strategy for implementing decentralized clinical trials (DCTs)? The pressure will only increase as the push for rapid DCT adoption comes from all sides: the pandemic … technology … legislation ….

With DCTs here to stay, the way you capture, manage, and analyze data is more important than ever. And, with anticipation of legislation like the Diverse and Equitable Participation in Clinical Trials (DEPICT) Act aimed at boosting diversity in clinical trials, you also need to ensure better data from more representative/underserved populations. In this free webinar, you will learn how to update your clinical data strategy that ensures you can scale trials globally while decreasing the overall burden on sites and patients.

Ching Tian, Medable’s senior vice president, strategy and solutions, and Sherry Volk, eClinical Solutions’ principal portfolio lead, will explain the three key data trends shaping the industry now, so you can update your clinical data strategy to support enhanced DCT designs that drive better trial outcomes.

Webinar Takeaways

  • An understanding of the approach that cross-functional clinical teams should take as you look to incorporate DCT designs into more trials
  • Best practices and strategies for design, handling and optimizing data collection and management using DCT and modern platforms for data review and management
  • New techniques and understanding to maximize the value of your DCT data

Join us for this free webinar to learn more by registering today.

Who Will Benefit

  • Data management/data sciences professionals
  • Clinical operations/development professionals
  • Biostatistics and programming professionals
  • R&D IT/technology professionals
  • Clinical analytics and reporting professionals
  • Medical monitoring professionals
  • Digital innovation professionals
  • DCT professionals



2024 Industry Outlook: Driving Tomorrow’s Breakthroughs with Clinical Data Transformation