INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

• The Future Of Pharmacovigilance: Integrating AI

  The use of AI in pharmacovigilance can enhance processes such as data analysis, signal detection, and case management by increasing efficiency, accuracy, and the ability to manage large datasets.

• The Promise Of IQVIA One Home For Sites: A Site CEO's Perspective

  By providing research sites with a unified, streamlined interface, we can reduce operational friction, enhance collaboration, and ultimately accelerate the development of new therapies.

• How EDC-Based SAE Reporting Reduces Time To Detection And Response

  Serious adverse events (SAEs) play a pivotal role in patient safety during clinical trials, and the right EDC system helps you efficiently track and manage the entire lifecycle of SAE reporting.

• Why Managing Direct Spend In NetSuite Leads To Commercial Success

  Centralizing direct spend with the right tools enables you to manage critical inputs within the ERP and organizations to gain visibility for accurate demand planning and supplier performance tracking.

• Clinical Data Studio: A Single Data Review Platform Fostering Unification Across Groups

  6/19/2025

  This end-to-end digital review platform can assist both your risk management team and data management team, improving speed and facilitating database lock times.

• Powering More Efficient Clinical Development With AI And ML

  7/7/2025

  Explore how AI and ML are revolutionizing clinical trials by automating data processes to accelerate research and transform data into actionable outcomes for patient care.

• Transforming Oncology Trials With Next-Gen eCOA

  6/9/2025

  With the FDA stating last fall that the “patient’s voice” is key to understanding real-world-impacts, eCOAs and ePROs are becoming quintessential tools for cancer trials.

• Monitoring Activity And Gait In Children Using DHTs

  6/13/2024

  Drug developers, researchers, patients, and regulators are recognizing the benefits of sensor-based digital health technologies for clinical research.

• Automated Evidence Generation For Regulatory-Grade RWD

  10/20/2025

  Global regulatory agencies increasingly adopt Real-World Evidence, demanding higher data quality and automated AI-driven platforms to meet evolving standards and improve drug development pathways.