cubeRBQM by CRScube: Centralized Risk Oversight for Clinical Trials
cubeRBQM from CRScube helps sponsors and CROs identify, monitor, and respond to clinical trial risks with greater clarity. By bringing risk signals, dashboards, thresholds, and study data into one environment, teams can focus monitoring effort where it is needed most and support a more proactive approach to trial quality.
Centralized risk monitoring
cubeRBQM gives teams a clear view of risk signals across study activity, helping them identify trends, outliers, and sites that may need closer attention.
Configurable key risk indicators (KRIs)
Teams can define study-specific key risk indicators (KRIs), thresholds, and risk views to monitor areas such as enrollment, data trends, site performance, and protocol compliance.
Dashboards and data visualization
Pre-configured dashboards and flexible visual views help teams review risk data quickly, drill into specific points, and share findings through downloadable reports.
Alerts and follow up
Automated updates and alerts help surface risk signals earlier, supporting faster review and more focused follow-up across study teams.
Connected clinical data
cubeRBQM works with CRScube clinical technology, including cubeCDMS, and can also connect with iMednet to support risk profiling and quality review using current clinical data.
See it in action
Read the CRScube case study on how CMIC implemented data-driven risk-based monitoring with cubeRBQM.
Contact us for an introduction to the Mednet and CRScube eClinical ecosystem with solutions to support all study types and phases.
How does cubeRBQM support risk-based quality management?
cubeRBQM helps study teams review risk signals across sites, subjects, and study activity using configurable key risk indicators, thresholds, dashboards, and visual risk views. This supports a more focused approach to quality oversight and monitoring.
Can teams configure KRIs and thresholds in cubeRBQM?
Yes. Teams can configure key risk indicators and thresholds based on the study design, protocol priorities, and monitoring plan. This helps align risk review with the areas that matter most for each trial.
How can teams investigate a risk signal in cubeRBQM?
When a risk signal is identified, teams can review the related data in more detail, assess whether follow-up is needed, and document next steps. This helps teams move from risk detection to action more clearly.
How does cubeRBQM use clinical data for risk review?
cubeRBQM uses study data centralized in cubeCDMS to support risk review. Because clinical data converges into cubeCDMS, teams can review risk signals using current study data without relying only on manual exports or disconnected source files.
How does cubeRBQM support centralized monitoring?
cubeRBQM gives study teams a shared view of risk data across sites and studies. This helps central monitors, CRAs, project managers, and quality teams review the same information and prioritize follow-up consistently.
Can cubeRBQM support risk review meetings and reporting?
Yes. cubeRBQM provides dashboards, visual risk views, and downloadable reports that can support governance meetings, risk review discussions, and quality oversight activities.
Who is cubeRBQM designed for?
cubeRBQM is designed for sponsor and CRO study teams that need clearer visibility into trial risks and a consistent way to support risk-based monitoring, centralized monitoring, and quality oversight.
How does cubeRBQM fit within the wider CRScube ecosystem?
cubeRBQM works alongside CRScube clinical technology, including cubeCDMS, to help teams connect risk oversight more closely with clinical data. It can also support a broader workflow from risk review to follow-up action across study operations.