"Grove's data-driven AI solutions have been transformative for Celerion, significantly optimizing our clinical trial processes. We saw a 28% increase in screening pass rates for trials, and their AI agent contacted 250 participants in English and Spanish, scheduling 40 participants in just two days. This partnership has elevated our operational efficiency and enhanced participant engagement across diverse populations."

Philip Bach

Executive Vice President, Global Clinical Research

The Challenge: Reducing Costs While Driving Recruitment Efficiency

As a top Phase I clinical research organization (CRO), Celerion is a leader in participant recruitment and engagement. However, manual workflows slowed participant prescreening and scheduling, leading to:

  • High Screening Failure Costs: Significant resources were dedicated to participants who failed to meet protocol requirements.

  • Recruitment Delays: Slow prescreening and scheduling processes jeopardized tight study timelines.

  • Labor-Intensive Operations: Heavy reliance on manual effort increased costs and hindered scalability.

Celerion needed a scalable solution to optimize recruitment, lower costs, and improve screening outcomes.

Celerion Partners with Grove to Increase Screening Pass Rates

Celerion partnered with Grove AI to deploy Grace, the world’s most advanced AI clinical research agenand the Grove AI PRM™ platform to drive recruitment efficiency through data-driven automation.

Key capabilities included:

  • AI-Driven Participant Matching: Grace filtered 39,000 participants based on protocol requirements, engaging only the most eligible candidates.

  • Real-Time Engagement: Grace autonomously contacted 250 high-match participants via phone and text in English and Spanish.

  • Automated Scheduling: Grace prescreened and scheduled participants within just 2 days, streamlining workflows.

  • Cost Efficiency: Grace automated processes reduced labor costs and saved over $20,000 for one trial.

Celerion Achieves Reduced Screen Failures and Increased Efficiency

In one Phase I trial, Celerion achieved remarkable results:

  • 28% Higher Screening Pass Rates: AI-driven protocol matching reduced screening failures, cutting costs and delays.

  • 40 Participants Prescreened and Scheduled: Grace efficiently managed high volumes while ensuring participant quality.

  • 2-Day Recruitment Turnaround: All participants were identified, prescreened, and scheduled in record time.

  • $20,000+ in Cost Savings: Automation reduced staff burden and screening failures, significantly lowering trial expenses.

Using data-driven insights from the PRM, Celerion refined screening processes, optimized recruitment strategies, and expanded successful practices across trials.

Celerion Scales Efficiency Across Trials with Grove

Celerion continues to leverage Grove AI to streamline recruitment and improve efficiency across its Phase I trials. By adopting Grove’s AI-powered solutions, Celerion has set a new standard for cost-effective, scalable clinical trial recruitment.

Ready to drive efficiency across your CRO? Partner with Grove.

Ready to drive efficiency across your CRO? Partner with Grove.

Ready to drive efficiency across your CRO? Partner with Grove.

Ready to drive efficiency across your CRO? Partner with Grove.

Company Name

Celerion

Type

CRO

Therapeutic Area

Nephropathy

San Francisco, CA 94104

United States

support@grovetrials.com

© 2024 Grove AI Inc. All rights reserved.

Names and images on this website do not represent real individuals.

San Francisco, CA 94104

United States

support@grovetrials.com

© 2024 Grove AI Inc. All rights reserved.

Names and images on this website do not represent real individuals.

San Francisco, CA 94104

United States

support@grovetrials.com

© 2024 Grove AI Inc. All rights reserved.

Names and images on this website do not represent real individuals.

San Francisco, CA 94104

United States

support@grovetrials.com

© 2024 Grove AI Inc. All rights reserved.

Names and images on this website do not represent real individuals.