Four RBQM Case Studies in Clinical Trials
Four RBQM case studies illustrate how our intelligent EarlyBird system forecasts future events and detects suspicious activity, to subsequently trigger on time preventive and corrective actions.
Adaptive Monitoring: Anticipating The Human Factor
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.
Adaptive Monitoring: Beyond Data Trends and Timely Performance
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.
Adaptive Monitoring: The First Implementation Steps in Real-Life
It is widely broadcasted that pharma companies will have to accelerate adoption of adaptive clinical trial designs to reduce study timelines and costs while increasing success rates. Risk-based Monitoring “Real RBM” integrates the Adaptive Monitoring (AM) process, which addresses all aspects of Quality Risk Management.
