MyRBQM® Portal's new Machine Learning predictive analytics model is far less sensitive to noise, it better generalizes data, and provides narrower CIs in long time series. Singular Spectrum Analysis is particularly valuable for long time series, as mostly observed in clinical trials.
Neat Features: wanting to dig a little deeper into the neat software features that make your risk-management life easy? Well, you’ve come to the right place. Learn more about Risk Flowers charts - a bunch of information.
Pharma today embraces the concept of patient-centered research. Innovators view Patients as informed collaborators whose participation is core to the overall success of clinical research. The risk-based Patient Profiles tool is a key contributor to the modern concept of patient-centered thinking, as It enables early detection and real time control of patient safety issues.
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.
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.
“There are always a million reasons not to do something” A great inspiring quote from Jan on an episode of The Office when Pam was making excuses not to go to Art school. A very recognisable habit, isn’t it? Talking ourselves out of [...]
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 [...]
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 [...]