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With the adoption of ICH E6(R2), risk-based approaches are no longer optional—they’re essential. Clinical trials generate complex, high-volume data across diverse geographies. This makes traditional 100% source data verification (SDV) inefficient and costly. Instead, risk-based monitoring (RBM) focuses on identifying, evaluating, and mitigating risks that can impact subject safety and data integrity.
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Site selection and oversight are foundational to clinical trial success. However, not all sites are created equal. Some are more prone to protocol deviations, delayed data entry, or poor subject retention. To manage this variability, sponsors and CROs are now required to adopt risk-based approaches per ICH E6(R2) guidelines.
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The Risk Assessment and Categorization Tool (RACT) is a core component of Risk-Based Monitoring (RBM) frameworks. Endorsed by ICH E6(R2), RACT templates provide a structured methodology to identify, evaluate, and mitigate risks in clinical trials. By helping teams focus on high-priority issues—such as subject safety, protocol deviations, or investigational product handling—RACT enhances trial efficiency and inspection readiness.
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Risk-Based Monitoring (RBM) is now a regulatory expectation—not just an operational option. At the core of every effective RBM strategy is the accurate identification of Critical Data and Processes (CDPs). These are the components that, if compromised, would significantly impact subject safety or data reliability.
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In Risk-Based Monitoring (RBM), the cornerstone of effective oversight is a reliable risk assessment model. Sponsors and CROs often struggle with a common decision: Should they adopt a qualitative or quantitative approach to risk assessment—or both? Each method offers distinct strengths and limitations, and understanding when and how to apply them can elevate monitoring quality, reduce site errors, and support regulatory compliance.
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In Risk-Based Monitoring (RBM), identifying risks is only the beginning. To manage them effectively, clinical teams must categorize risks into meaningful levels. This step determines monitoring intensity, resource allocation, and mitigation strategies. Whether using qualitative tags like “High/Medium/Low” or quantitative thresholds, clear categorization transforms raw risks into actionable oversight plans.
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Risk scoring systems are essential components of Risk-Based Monitoring (RBM) strategies in clinical trials. They enable sponsors and CROs to numerically evaluate and prioritize risks based on standardized formulas. These scores guide oversight actions, including site visits, source data verification (SDV), and central monitoring interventions.
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Risk-Based Monitoring (RBM) is now a regulatory expectation under ICH E6(R2), making risk assessment training a non-negotiable part of clinical research operations. Without proper training, teams may misclassify risks, misinterpret thresholds, or apply tools inconsistently—undermining data quality and patient safety.
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Integrating risk assessment at the clinical trial start-up stage ensures that potential issues are identified and mitigated before patient enrollment begins. According to ICH E6(R2), sponsors must apply risk-based approaches throughout the trial lifecycle—including feasibility and planning. Early application of risk tools helps define oversight strategies, optimize monitoring plans, and prevent downstream quality failures.
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Conducting global clinical trials presents significant challenges related to oversight, data quality, and protocol compliance. These trials often involve multiple countries, diverse regulatory requirements, and operational variability between sites. To proactively manage risks, sponsors are now turning to structured tools such as the Risk Assessment and Categorization Tool (RACT).
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