Product Overview
Leverage cutting-edge advancements in statistics and Machine Learning (ML) with AI-powered clinical trial solutions that go beyond traditional data analysis. By adhering to FDA and ICH guidelines and regulations, we accelerate result delivery to research teams, facilitating prompt issue resolution. Our RBQM technology identifies data outliers and anomalies in real time, offering researchers a better way to identify and manage clinical trial risks.
Proactive Risk Detection & Documentation
Leverage cutting-edge advancements in statistics and Machine Learning (ML) with AI-powered clinical trial solutions that go beyond traditional data analysis. By adhering to FDA and ICH guidelines and regulations, we accelerate result delivery to research teams, facilitating prompt issue resolution. Our RBQM technology identifies data outliers and anomalies in real time, offering researchers a better way to identify and manage clinical trial risks.
Deployment
- Web based
- Cloud Hosted
Pricing
- Subscription
- License Fee
More Information
- Key Risk Indicators (KRIs): Rank clinical research sites based on performance and tolerance metrics, uncovering ‘at-risk’ locations in need of proactive corrective action.
- Quality Tolerance Limits (QTLs): Identify systematic issues, monitor key metrics, and document deviations from pre-defined QTLs to ensure accountability and compliance throughout clinical trials.
- Central Statistical Monitoring: Test all collected clinical research data, including both clinical and operational, exposing atypical data patterns that indicate operational challenge
About the company
CluePoints is the premier RBQM and data quality oversight solutions provider, leveraging the potential of artificial intelligence using advanced statistics and machine learning to transform platform solutions into positive outcomes for those developing innovative therapies.
Our journey is one of continuous evolution, marked by pioneering advancements in statistical methods, machine learning, natural language processing (NLP), and deep learning. As we introduce future applications, we remain committed to delivering AI-powered solutions.
