What’s new in MyRBQM Portal V6.0.6?
We’re constantly working to improve your MyRBQM Portal experience, here’s a summary of what has changed:
We have introduced three new Centralized Statistical Monitoring algorithms which aim to aid in fraud detection assessment in clinical trials:
- Digit Preference: within-study comparison – compares leading or trailing digits between user-defined groups in a clinical trial.
- Digit Preference: Benford’s law – detects fraud by checking that whether the first significant digit (FSD) frequency distribution complies with Benford’s Law, which is true for many clinical data variables.
- Digit Preference: check for uniformity – detects data collection errors and fraud by checking that the trailing digits frequency distribution is uniform.
We will demonstrate the new CSM algorithms during our free webinar on “Fraud and Sloppiness Detection in Clinical Trials” scheduled for Tuesday, 22nd October. Why don’t you join us? Register here…
A CSM summary option has been introduced in this version, where users can save the important Centralized Statistical Monitoring results from various algorithms and will be able to write a summary, put comments, open tickets for the selected results and can print the entire page.
We have also fixed certain bugs including a bug related to risk acceptance rationale restoration after every release. This issue was a complaint made by one of our users and it has been fixed in this latest version 6.0.6.
Good de-risking of your clinical trials!
– the Cyntegrity team