Neat Features

May 2020

Machine Learning-Based Predictions for All Clinical Research Metrics

By |2020-09-29T05:36:15+00:00May 27, 2020|Neat Features, News|0 Comments

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.

Mar 2020

Coronavirus | COVID-19 RACT Now Available

By |2020-09-23T11:14:53+00:00March 20, 2020|Neat Features, News, RBQM Product Updates|0 Comments

Cyntegrity developed a special COVID-19 RACT that guides those involved in clinical trials on specific risks which may arise as a result of COVID-19, and how they can mitigate them. This special RACT is part of the COVID-19 rapid deployment pack for ad-hoc centralized monitoring.

Feb 2020

Healthy Volunteers – Phase 1 RACT Now Available

By |2020-09-23T11:16:28+00:00February 11, 2020|Neat Features, News, RBQM Product Updates|0 Comments

The need for a controlled research environment adds another risk dimension to the Phase 1 study design. The new Healthy Volunteers - Phase 1 RACT serves as a helpful source to ensure maximum subject safety and a reliable outcome.

Apr 2019

RBQM Software Features: What’s a Risk Flower chart?

By |2019-08-07T19:11:02+00:00April 9, 2019|Blog, Neat Features|1 Comment

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.

Nov 2018

Patient Profiles – Better Understand Your Patients

By |2020-09-30T13:30:42+00:00November 1, 2018|Blog, Neat Features, RBQM Product Updates|0 Comments

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.

May 2018

“OncoRACT” – The First Therapy Specific RACT for Clinical Trials

By |2020-09-23T10:54:27+00:00May 1, 2018|Neat Features, News, RBQM Product Updates|0 Comments

Many risks in clinical trials are therapy specific. Because of that, the currently available tools addressing those risks are now becoming therapy specific as well. The first therapy focused risk library Oncology RACT (OncoRACT) recently got available.

Feb 2018

Dr Nimita Limaye: “KRI Wiki is a Path Breaking Initiative”

By |2018-02-12T11:14:09+00:00February 7, 2018|Neat Features, News|0 Comments

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 [...]

Sep 2017

Generation of a Risk Report across Studies

By |2020-09-23T08:55:36+00:00September 18, 2017|Blog, Neat Features|0 Comments

MyRBQM® Portal's predecessor EarlyBird® RBM software deploys 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. The video [...]

Aug 2017

Predictive Analytics in Risk-Based Monitoring – Part II

By |2020-09-23T09:38:19+00:00August 8, 2017|Blog, Neat Features|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 [...]

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