An effective way to control risks during a clinical trial is to anticipate events induced by human factor before the study even begins. Dr Johann Proeve's third chapter on Adaptive Monitoring talks about how human factor is complementary to numeric data.
Our online KRI (Key Risk Indicator) survey indicated that finding the right calculation method seems the most challenging aspect of the application of KRIs. In addition our survey showed that the vast majority (> 95%) makes use of KRIs. Do these results surprise you?
Blockchain technology is the biggest achievement in cryptography of the past decade. Source Data Verification (SDV), which consumes about 20–30% of the clinical trial budget nowadays, will become redundant when blockchain technology disrupts the pharma industry.
Adaptive Monitoring is not a “status quo”, it is a dynamic response to clinical research that drives monitoring scope and activities to the evolving areas of greatest need which have the most potential to positively impact. Each clinical study requires its own tailored monitoring approach ensuring risks are minimized.
Last February 28th, the FDA finalized the E6 (R2) version of the addendum to the International Council for Harmonisation's (ICH) good clinical practice (GCP) guideline. What to do now? Don’t panic, we’ve put together a simple 5-step plan to help you initiate the most urgent process adaptations.
