Neat Features

Jun 2024

Understanding Time-Series Data in MyRBQM® Portal Introduction

By |2024-06-24T20:19:55+02:00June 24, 2024|Blog, Neat Features, News|Comments Off on Understanding Time-Series Data in MyRBQM® Portal Introduction

Discover how the MyRBQM® Portal uses advanced time-series data storage to preserve every data point in its original context, enhancing Risk-Based Quality Management (RBQM) by allowing you to track study progress and understand past decisions.

Jun 2024

5 Questions to Ask When Comparing RBQM Systems

By |2024-07-11T18:28:10+02:00June 20, 2024|Blog, Neat Features, News|Comments Off on 5 Questions to Ask When Comparing RBQM Systems

When evaluating Risk-Based Quality Management (RBQM) systems, asking the right questions is crucial to ensure you choose a solution that meets your needs and aligns with regulatory guidelines. This post outlines five key questions to consider.

Mar 2024

Enhancing Clinical Trial Efficiency with API Integration in the MyRBQM Portal

By |2024-03-12T21:17:05+02:00March 7, 2024|Blog, Neat Features, News, Product Updates, RBQM Product Updates|Comments Off on Enhancing Clinical Trial Efficiency with API Integration in the MyRBQM Portal

In the ever-evolving landscape of clinical trial risk management, effective communication between various systems is crucial for streamlined operations and regulatory compliance. The MyRBQM Portal, a leading risk-based quality management (RBQM) tool, introduces advanced API integration capabilities tailored to clinical operations and risk management [...]

Dec 2022

Cyntegrity Integrates KRI Wiki into the MyRBQM Portal

By |2024-02-27T21:44:08+02:00December 15, 2022|Neat Features, News|Comments Off on Cyntegrity Integrates KRI Wiki into the MyRBQM Portal

Discover KRI Wiki, the only Key Risk Indicator resource out there that provides a compliant by-design approach to clinical trial risk management.  

Nov 2022

New Video Tutorial Series for the MyRBQM Portal

By |2022-12-15T16:33:56+02:00November 25, 2022|Neat Features, News|Comments Off on New Video Tutorial Series for the MyRBQM Portal

The Help section of the MyRBQM Portal now features over 30 “How to…” video tutorials that guide the platform operator through key operations within the Portal.

May 2020

AI-Enhanced Machine Learning Predictions for All Clinical Research Metrics

By |2024-05-10T17:02:08+02:00May 27, 2020|AI in Clinical Trials, Neat Features, News|Comments Off on AI-Enhanced Machine Learning Predictions for All Clinical Research Metrics

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 |2022-07-21T12:15:31+02:00March 20, 2020|Neat Features, News, RBQM Product Updates|Comments Off on Coronavirus | COVID-19 RACT Now Available

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+02:00February 11, 2020|Neat Features, News, RBQM Product Updates|Comments Off on Healthy Volunteers – Phase 1 RACT Now Available

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.

Dec 2019

Heart Failure RACT Now Available

By |2020-09-23T11:21:31+02:00December 19, 2019|Neat Features, News, RBQM Product Updates|Comments Off on Heart Failure RACT Now Available

Heart Failure (HF) is a complex clinical syndrome. Our CSO, Dr Johann Proeve, explains the challenges associated with the conduct of clinical studies in the various heart failure stages.

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