Less training. Better trials. Sites that actually want to work with you.
ProofPilot is a featured contributor to the SCRS Cut >25 initiative — an industry-wide commitment to reduce redundant site training by at least 25%, without compromising compliance or quality. Here's how we're helping sponsors get there.
A recent industry assessment of more than 500 clinical research professionals revealed a quiet crisis hiding in plain sight — one that's slowing study start-up, draining site engagement, and adding cost before a single patient is enrolled.
Spent per person, per study on mandatory training alone
Of training content is considered redundant by site staff
Average monthly training burden, per site
What is Cut >25?
The SCRS Cut >25 initiative is the clinical research industry's formal response to training overload — a community-wide commitment to a minimum 25% reduction in redundant or inefficient training, with no compromise on protocol-critical or safety-critical content. The target isn't training itself. It's the repetitive, low-value requirements that pile up study after study.
Rebuilding the training stack around what sites actually need
The challenge that proved the model came from a sponsor running a study in NICU settings — high volumes of rotating nursing staff, unconventional workflows, and a compliance burden traditional LMS models simply couldn't handle. Keeping 25 NICU nurses per site current would require a fundamentally different approach.
We started with a deliberate rejection of conventional assumptions. Instead of treating training as a completion event, we prioritized the right resource at the right moment — contextual guidance deployed at the point of need, not weeks in advance.
1
Training reciprocity across studies
So site staff don't repeat the same modules every time
2
Role-based, competency-based pathways
Tied to actual responsibilities, not generic completion
3
Workflow-embedded contextual guidance
Bypasses the LMS entirely for routine tasks
4
eTMF integration via open API
Reliable documentation for large, rotating site populations
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