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.
Press Release: Cyntegrity Rolls out SaaS Application to Help Pharma Organisations Bring Regulatory Guidance into Practice
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.
Dr. Artem Andrianov, the Cyntegrity's CEO, will be presenting on the recent publication in Applied Clinical Trials at MCC's next meeting on 11-Dec-2017 at 10am EST. Registration link below. The link to the peer-reviewed Applied Clinical Trials article: http://www.appliedclinicaltrialsonline.com/pueks-project-process-innovation-clinical-trial-monitoring Registration (for MCC members only): https://metricschampion.webex.com/metricschampion/j.php?RGID=r606bfad2af43d9dcd6c74b1eb9b80ff7 [...]
The RBM software EarlyBird® obtains a powerful and flexible system for ad-hoc reporting of risk-relevant data. It can be used to explore clinical data in more detail, prepare centralized monitoring reports, and build up a risk overview across studies. An example of such a [...]
Cyntegrity employees were happy to contribute to the new peer reviewed article in Applied Clinical Trials: "The PUEKS Project: Process Innovation in Clinical Trial Monitoring" http://www.appliedclinicaltrialsonline.com/pueks-project-process-innovation-clinical-trial-monitoring
In our previous "predictive analytics in RBM" article, we started a discussion about algorithms of machine learning (ML), predictive analytics, and artificial intelligence. We also covered that a risk software needs to calculate forecasts of Key Risk Indicators (KRIs) proactively and alerts when they [...]
Predictive analytics is a very useful tool in the risk-based monitoring and overall risk-based study management. It increases the proportion of correct decisions, as the decisions start being more data-driven. It also helps to understand for a central CRA or study manager the trending [...]
Today the ICH GCP Addendum E6 R2 comes into operation. Therefore, we summarized the useful resources for your kind perusal: GCP E6 R2 Addendum itself - http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Efficacy/E6/E6_R2__Step_4.pdf PDF Mindmap of all GCP E6 R2 changes - https://cyntegrity.com/ich-gcp-addendum-e6-r2-mind-map-pdf-for-download/ ICH GCP Goes Risk Based - a [...]
Weekly RBM Feature: this is a series of articles, where we want to describe some innovative RBM features and our approach in dealing with analysis, presentation, and mitigation of risks in clinical trials. Last time we took a look at the Risk Flower chart and [...]