Case Studies.
Real-world examples of how data-driven quality management reduces risk and improves efficiency.
Reducing On-Site Monitoring by 30%
"We were drowning in travel costs. This approach didn't just save money; it helped us find the sites that actually needed help."
Reduction in on-site monitoring visits, saving approx. $450k in travel & resource costs.
Increase in critical finding detection rate compared to traditional CRA monitoring.
Rescuing a Stalled CluePoints Implementation
"We had a Ferrari engine in a go-kart. You taught us how to actually drive the car. Adoption went from 10% to 95% in two months."
User adoption rate achieved within 60 days of process re-engineering.
Reduction in "False Positive" signals by tuning thresholds to protocol specifics.
Custom Safety Dashboard for Complex Oncology
"The standard reports were useless for this protocol. Your dashboard is the first thing our Medical Monitors open every morning."
SAFETY_SIGNAL_DETECTOR_V2.0
Identified a correlation between Study Drug Dose Level 3 and Grade 3 Neutropenia two weeks earlier than standard medical review.
CSA-Based Validation Cuts Timeline by 75%
"We validated three platforms in the time it used to take us to validate one. And we found more actual bugs because testers were thinking critically instead of following scripts."
Reduction in validation timeline (6 months to 6 weeks per platform)
Reduction in documentation pages (1,200 to 150 pages per system)
Increase in actual defects found through exploratory testing
Enterprise RBQM Rollout Across 8 Therapeutic Areas
"For the first time, our CMO can see quality metrics across every trial in our portfolio on a single dashboard. That visibility has fundamentally changed how we make resource allocation decisions."
Trials onboarded to unified RBQM framework within 18 months
Reduction in audit findings across portfolio after RBQM standardization
Annual monitoring cost savings from optimized site visit scheduling
CRA adoption rate of centralized monitoring workflows within 6 months
Results Across All Engagements
Anonymized aggregate data from consulting engagements spanning pharmaceutical sponsors, CROs, and technology vendors.
