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.
Frankfurt – Cyntegrity, a German provider of proprietary Risk-based Monitoring (RBM) cloud services for the Life Sciences industry, today announced the rollout of “@RACT-Pro” – simple and affordable risk assessment and mitigation tool. There is even a free version. This online SaaS (software as [...]
Quality is a business decision. Everyone instinctively knows that poor quality doesn't come cheap, however until now no attempt was made to calculate the real difference between good and poor quality in clinical trials. Most of the issues that impact cost and expenses are lurking just below the tip of the iceberg.
Are your role connected with the controlling the quality, performance or risks of clinical trials? We are delighted to invite you along to this exclusive live webinar and Q&A session on February 23rd, 2018.
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.
We are pleased to welcome Dr Nimita Limaye, Project Lead KRI Wiki, to the Cyntegrity team! Key Risk Indicators (KRIs) play a fundamental role in managing risk, you could say they are the “traffic lights” of clinical monitoring. When appropriately selected and calibrated KRIs [...]
There is a rapidly growing amount of information to process in clinical research. You could argue whether it adds value viewing and verifying the reliability of each single data point. Dirty data and frauds have always existed but can eventually be marginalised by responsive people and processes.
More than ever before, well-designed clinical trials are essential to maximize chances of success.
100% SDV...seriously, who DOES this? Start 2018 with an easier way to manage your clinical risks.
