Ken Getz of Tufts CSDD and Steve Young of CluePoints Discuss Stand Out Results from Recent RBQM Study
In part 2 of this video interview series, Ken Getz, executive director and research professor, Tufts Center for the Study of Drug Development, Tufts University School of Medicine and Steve Young, chief science officer, CluePoints highlight what stood out to them from the results of a recent study on RBQM adoption.
Ken Getz of Tufts CSDD Discusses RBQM Study Conducted with CluePoints and PwC
In part 1 of this video interview series with Ken Getz, executive director and research professor, Tufts Center for the Study of Drug Development, Tufts University School of Medicine and Steve Young, chief science officer, CluePoints, Getz touches on the findings from a recent study on RBQM adoption.
Clinical Research 2.0 Must Embrace Change
We are at a tipping point in the adoption of Clinical Research 2.0. The evolution of risk-based quality management (RBQM), wider adoption of artificial intelligence (AI) and regulatory updates have set the scene for a new holistic approach to data management.
SCOPE 2024: Steve Young of CluePoints Discusses RBQM and Key Risk Indicators
In an interview with ACT editor Andy Studna at SCOPE, Young, Chief Science Officer, CluePoints discusses where the industry is currently adopting RBQM and the level of comfort that comes with it.
Does Central Statistical Monitoring Improve Data Quality? An Analysis of 1,111 Sites in 159 Clinical Trials
Central monitoring aims at improving the quality of clinical research by pro-actively identifying risks and remediating emerging issues in the conduct of a clinical trial that may have an adverse impact on patient safety and/or the reliability of trial results.
Trendspotting: What’s Coming for Clinical Trials and Research in 2024
We spoke with leaders and experts in the Clinical Research community about their predictions for 2024.
Ukraine War’s Impact on Clinical Research: Evidence from Key Risk Indicators
Key risk indicators (KRIs) are commonly used as an important component of central monitoring to enable study teams to detect emerging quality issues of interest during a clinical trial. Given the large volume of KRI-related information now available for global clinical trials on the CluePoints risk-based quality management (RBQM) platform, we decided to take the […]
Using Machine Learning and NLP to Improve Central Monitoring Documentation
Central monitoring helps sponsors to proactively identify and remediate data quality issues during the conduct of clinical trials.
DIA Global Forum: Statistics Powering Risk-Based Quality Management
CluePoints Co-Founder and Chief Product & Technology Officer François Torche discusses the challenges of collecting clinical trial data with digital or remote tools (eCOA, ePRO, etc.) without putting the quality of that collected data at risk in the below interview.
Solving the Rubik’s Cube of Competing Forces to Realize the Future of Clinical Research
Artificial intelligence (AI) has massive potential to advance clinical research.
