ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS

• The Top 5 Myths About eCOA In 2025

  Projected to grow 16.1% annually through 2030, eCOA solutions are booming. Uncover the top five myths and misconceptions about eCOAs in 2025 so your clinical teams can make evidence-based decisions.

• Proven Process For Managing Clinical Trial Changes, Data Migrations

  Explore how the Imperial College London was able to complete a successful migration of 14 ongoing studies, involving over 1,700 patients and 150,000+ forms, within a 16-month timeframe.

• Case Study: How Real-World Data Optimized An Oncology Clinical Trial Protocol

  Many challenges in running clinical trials are difficult to prepare for, but some, such as trial enrollment and study operational execution, can be proactively addressed thanks to advances in high-quality RWD.

• eTMFs Uncovered: 5 Costly Misconceptions To Avoid

  Critically examine prevalent myths surrounding electronic Trial Master Files (eTMFs) and their integration with electronic Investigator Site Files (eISFs).

• Unified Platform Supports Rapid Implementation Of Rescue Study

  Explore how these integrated solutions helped an emerging biopharma to implement a plan for study build and migration with minimal disruption to sites.

• eISF In European Clinical Trials And How eBinders Can Help

  By addressing the unique hurdles tied to regulations in European clinical trials, eBinders offer a streamlined approach to managing electronic trial documentation.

• Simple, Cost-Effective Ways To Engage Patients Using eCOA And IRT

  Today, patients are exposed to sophisticated technology, which presents a huge opportunity to elevate engagement. Consider some common elements when initiating engagement during clinical development.

• Patient-Centricity Is In Everything We Do: Designing Accessible eClinical Technology

  By prioritizing patient centricity within an eClinical platform’s design, sponsors can tailor patient engagement to achieve outcomes based on a study’s indication, patient population, and end goals.

• Come To The Dark (Mode) Side

  Many of the decisions made by a product team start as suggestions from a user community of clinical professionals. While planning the development of a recently launched CTMS, a focus group was led where clinical professionals weighed in on potential improvements for a new system.

• Realizing The Potential Of AI And Machine Learning In Clinical Research

  The life sciences industry has not yet scaled or realized the full potential of AI/ML. Here are four real-world use cases that can encourage researchers to unlock new efficiencies and insights in their studies.