Linda.Bunschoten

About Linda Bunschoten - Chief Marketing Officer

Linda has 25+ years of experience uncovering pain points and strategizing with companies in the healthcare industry in order to secure and retain more clients. Her chief thinking responsibilities include translating insight into strategy and ensure that all MarCom and Product Management activities contribute to our overall customer experience and meet our industry’s quality expectations.
May 2021

7 Most Important QTLs for Clinical Trials

By |2024-06-14T16:41:11+02:00May 5, 2021|Blog|Comments Off on 7 Most Important QTLs for Clinical Trials

Within the bounds of risk-based quality management, the utilization of predefined Quality Tolerance Limits (QTLs) is a way to control quality and risk in clinical trials. QTLs identify systematic risks to patients and data integrity at the study level. We've listed the 7 most commonly used QTLs that are applicable to most trials.

Mar 2021

4 Ways to Optimize Vaccine Trials in Coronavirus Variants

By |2021-12-22T17:35:37+02:00March 15, 2021|Blog, News|Comments Off on 4 Ways to Optimize Vaccine Trials in Coronavirus Variants

Learn how risk-based quality management (RBQM) helps simplify coronavirus vaccine development and helps mitigate any unnecessary burden from clinical organizations ensuring vaccines are readily available when needed.

Nov 2020

Best Case Studies for RBQM | Avoiding Regulatory Non-Acceptance

By |2021-12-22T17:37:35+02:00November 3, 2020|Blog, Case Studies|Comments Off on Best Case Studies for RBQM | Avoiding Regulatory Non-Acceptance

We've documented real-life case studies for you, illustrating how the MyRBQM® Portal helped address common risks using the principles of risk-based quality management.

Nov 2020

Best Case Studies for RBQM | Controlling the Number of Open Queries

By |2021-12-22T17:41:30+02:00November 3, 2020|Blog, Case Studies|Comments Off on Best Case Studies for RBQM | Controlling the Number of Open Queries

We've documented real-life case studies for you, illustrating how the MyRBQM® Portal helped address common risks using the principles of risk-based quality management.

Nov 2020

Best Case Studies for RBQM | Accurately Predicting Important Events

By |2021-10-25T13:55:23+02:00November 3, 2020|Blog, Case Studies|Comments Off on Best Case Studies for RBQM | Accurately Predicting Important Events

We've documented real-life case studies for you, illustrating how the MyRBQM® Portal helped address common risks using the principles of risk-based quality management.

Nov 2020

Best Case Studies for RBQM | Detecting and Mitigating a Conflict of Interest

By |2021-12-22T17:42:58+02:00November 3, 2020|Blog, Case Studies|Comments Off on Best Case Studies for RBQM | Detecting and Mitigating a Conflict of Interest

We've documented real-life case studies for you, illustrating how the MyRBQM® Portal helped address common risks using the principles of risk-based quality management.

Oct 2020

Release Notes | MyRBQM® Portal Version 6.1.0

By |2020-10-01T08:04:21+02:00October 1, 2020|News, RBQM Product Updates|Comments Off on Release Notes | MyRBQM® Portal Version 6.1.0

MyRBQM Portal V6.1.0 released! We're constantly working to improve your Risk-Based Quality Management experience. Download the summary of what has changed.

Aug 2020

Risk-based Monitoring Software Key Players Influencing the Market

By |2020-09-22T08:55:47+02:00August 26, 2020|News|Comments Off on Risk-based Monitoring Software Key Players Influencing the Market

The report provides key statistics on the market status of the leading Risk-based Monitoring (RBM) Software market players and offers key trends and opportunities in the market.

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.

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