Adverse Event (AE) reporting, identified by the FDA as one of the most important challenges in clinical research, is known to be prone to under and over-reporting. When starting a project and considering the various ways available to capture the adverse event data, it’s important to ask yourself some analytical questions that help you improve AE and SAE capturing and reporting.
The dramatic expansion of prescription drug deaths inspired this year's theme "driving insights to action". Insights that could be deployed through novel disruptive technologies such as Risk-based Quality Management (RBQM). Cyntegrity's Johann Proeve and Nimita Limaye were in Boston and share their observations with us.
The EU MDR is setting the stage for busy times ahead. The continuous need for clinical evidence, the increasing complexity of new medical devices, and the size and global nature of medical device trials introduce a greater potential for error. Learn how a risk-based approach enables MedTech manufacturers to better understand, manage and mitigate the growing uncertainties.
By design, the traditional spot-checking type of audits leave a blind spot on systemic quality threats. Key Risk Indicators however, form the core of a widely applicable concept that captures all relevant risks in scope and provides project managers and QM experts targeted and objective updates on actionable issues and trends.
Many risks in clinical trials seem therapy specific. To illustrate this, Dr Johann Proeve shares real life use cases he experienced during his years as Head of Global Data Management at Bayer HealthCare.
Many risks in clinical trials are therapy specific. Because of that, the currently available tools addressing those risks are now becoming therapy specific as well. The first therapy focused risk library Oncology RACT (OncoRACT) recently got available.
Yes you can stay on-budget! Read how Risk Based Budgeting (RBB) can help you keeping your clinical trial on-budget.
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?
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.
