Risk Based Monitoring

With a risk-based management approach, you have a better chance at ensuring site productivity and responding to site-specific issues before they become major problems. Combining statistical data checks, automated alerting, and other RBM techniques with site visits and traditional data verification gives you a powerful quality control solution.

LSAC: Risk Based Monitoring

Mouse Over For Added Detail

Touch Image for Added Detail

  • EDC
  • CTMS
  • Safety
  • Financial
  • IRT/IVRS RTSM
  • Site Performance
  • Trial Performance
  • Operations
  • Investigation
  • Lab
  • Biomarker

Governance • Curation • Harmonization Orchestration • Unified Data Model • Metrics Ad-Hoc Reporting • Conversational UX

Use Cases

  1. Portfolio & Study Oversight
  2. Risk Assessment & Categorization
  3. Automated Threshold Breach Detection & Alerting
  4. Centralized Monitoring
  5. Task & Workflow Management

Use Cases/Value Drivers

 

Portfolio and Study Oversight

With real-time access to all your study data, automated alerts, and a revolutionary Deep Learning Intelligent Assistant (DaLIA) that lets you query your data for immediate answers, Risk Based Monitoring gives you everything you need to track performance and ensure that milestones are met.

 

Risk Assessment and Categorization

Real-time dashboards identify issues within specific risk areas, utilizing visual indicators. Thresholds and weights can be adjusted to see how specific changes affect overall outcomes.

 

Automated Threshold Breach Detection and Alerting

This predictive approach identifies issues earlier, so corrective action can be taken before it’s too late.

 

Centralized Monitoring

The ability to evaluate study data remotely conserves valuable resources by eliminating the majority of physical site visits you have to make.

 

Task & Workflow Management

Collaboration tools track decisions, actions, and outcomes in a fully auditable way.

Access Out-of-the-Box Features in 4 Weeks—Guaranteed.

Saama can put you on the fast track to clinical trial process innovation.