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- What is Risk-Based Monitoring (RBM)?
- Where is it used in clinical trials?
- How does Clinion implement it?
- What does it look like in practice?
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What is Risk-Based Monitoring (RBM)?
Risk-Based Monitoring (RBM) is an approach to overseeing clinical trials that focuses monitoring efforts on the most critical data, processes, and sites that could affect participant safety or data quality. Instead of applying the same level of monitoring to all sites or data points, RBM uses risk assessment and analytics to prioritize high-risk areas, allowing more efficient allocation of resources while maintaining study quality and compliance.
Where is it used in clinical trials?
Risk-Based Monitoring (RBM) is applied throughout the clinical trial lifecycle to focus oversight on areas that could most impact participant safety and data integrity. It is used during site selection to identify high-risk sites, throughout study conduct to prioritize critical data and processes, and to guide monitoring frequency and intensity. RBM helps sponsors and study teams allocate resources efficiently, detect potential issues early, and maintain overall study quality across all participating sites.
How does Clinion implement it?
Clinion supports RBM by providing tools to identify, assess, and prioritize risks across study sites and data points. The platform enables real-time tracking of key metrics, such as protocol deviations, missing data, and site performance, allowing monitors to focus on high-risk areas. Alerts and dashboards highlight trends and potential issues, guiding targeted monitoring visits or remote reviews. Clinion also documents all RBM activities, supporting transparency, efficient resource allocation, and consistent oversight throughout the trial.
What does it look like in practice?
In practice, Risk-Based Monitoring (RBM) means focusing on the most important parts of a clinical trial. Instead of checking everything equally, teams identify high-risk data and processes first. Data is reviewed centrally using simple dashboards to spot issues early. Site visits are then planned only when needed, mainly for higher-risk sites, making monitoring more efficient and focused.
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