INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• Top HEOR Trends

  Real-world evidence (RWE) offers insights into the effectiveness of medical treatments in everyday settings, with various stakeholders utilize RWE to enhance healthcare.

• The Benefits Of Real-Time ePRO/eCOA In Clinical Trials

  TrialKit addresses data management issues in clinical trials through its innovative ePRO and eCOA tools, which facilitate real-time data collection and reporting.

• Uncovering The Root Cause Of Clinical Trial Troubles

  Discover essential strategies to prevent clinical trials from reaching a crisis while gaining a deeper understanding of the importance of addressing systemic issues early.

• Central eSource Is The Latest In Sponsor Provided Site Offerings

  For decades, sponsors have provided tools to help clinical sites work more efficiently. Central eSource is the latest evolution in this trend.

• Customizing EDC Workflows For Specialty Pharma, Rare Disease Trials

  10/9/2025

  Rare disease and specialty pharma trials demand a level of flexibility with electronic data capture systems that can adapt dynamically without sacrificing data integrity.

• eCOA Best Practices For Crohn's And UC Trials

  1/27/2025

  Around 200 trials annually use tools like the Crohn’s Disease Activity Index (CDAI) and Modified Mayo Score (mMS) to measure clinical remission. Implementing these in eCOA systems requires careful planning.

• Cracking The Code: Strategies For Success In Complex Trials

  8/27/2024

  Navigating the complexities of modern clinical trials requires advanced technology and strategic planning. Learn what goes into managing a challenging, decentralized rare disease trial.

• A Long COVID Study Sponsor Adopts Integrated eCOA And Cognitive Assessment Solution

  8/18/2025

  eCOA tools used in a long COVID study enabled remote, real-time symptom tracking, cognitive testing, and patient-reported outcomes, ensuring high-quality data while minimizing patient burden.

• The AI Revolution In Clinical Trials

  11/13/2025

  AI is reshaping clinical trials by accelerating patient recruitment, optimizing protocol design, and improving data quality—driving faster, more efficient, and more inclusive research outcomes.