Weekly RBM Feature

Jan 2018

Fake news, fake likes, fake quotes: who or what can I trust these days?

By | 2018-01-04T16:25:54+00:00 January 4, 2018|Blog, Library, Weekly RBM Feature|0 Comments

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.

Nov 2017

Implementing RBM – Moving out of your comfort zone

By | 2017-12-06T06:52:04+00:00 November 23, 2017|Blog, Library, Weekly RBM Feature, White Paper|0 Comments

  “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 [...]

Sep 2017

Generation of a Risk Report across Studies

By | 2017-10-10T17:05:02+00:00 September 18, 2017|Blog, Weekly RBM Feature|0 Comments

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 [...]

Aug 2017

Predictive Analytics in RBM (cont.)

By | 2017-09-18T19:55:38+00:00 August 8, 2017|Blog, Library, RBM Product Updates, Weekly RBM Feature, White Paper|0 Comments

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 [...]

Aug 2017

Predictive Analytics in RBM

By | 2017-10-04T17:01:30+00:00 August 2, 2017|Blog, Library, Weekly RBM Feature, White Paper|0 Comments

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 [...]

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