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We are clinical trial experts dedicated to solve site challenges, improve operational efficiency by leveraging technology with caring human curation. Our mission is to enable patients to have seamless access to innovative clinical trial treatments.

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Client Satisfaction
Testimonials

We appreciate the feedback from our clients

“With our pilot project using the TrialNAV OASIS™ platform, it provided greater visibility and strategic insight to trial operations. By analyzing our actively enrolling studies, it delivered a comprehensive view of trial complexity, workload distribution, and resource utilization—showing how advanced analytics can optimize staffing and support sustainable portfolio growth. The collaboration highlights the platform’s potential to empower academic medical centers with data-driven decision-making that accelerates delivery of innovative therapies to patients.”

Wencesley A. Paez, MD, MS

Wencesley A. Paez, MD, MS

“TrialNav has figured out a way to make it tangible and translatable so that operational leaders can understand the research model of staffing appropriately. Factoring in the level of expertise of the staff based on role and level of trial complexity allows the possibility of forecasting to upsize, downsize, or redistribute.

A practical tool to utilize from an operation side rightsizing the research workforce ecosystem!”

Sarah Medina Rodriguez,MD, CCRP

Sarah Medina Rodriguez,MD, CCRP

Director of Institutional Research Yuma Regional Medical Center

“A tool to measure clinical trial workload helps us effectively determine staffing needs and budget. We selected TrialNAV due to its experienced team, web-based customization, and transparent support. The TrialNAV team has worked closely with Prisma Health to tailor this tool to our needs.

We are excited to use TrialNAV to forecast our department’s needs as we continue to grow our research portfolio!”

Julie C. Martin, DNP, AOCN,NP

Julie C. Martin, DNP, AOCN,NP

Director, Cancer Research, Prisma Health

We used TRIALNAV OASIS to objectively assess staffing needs. Data-driven FTE justification removed the guesswork. The platform quickly paid for itself.

Rachel Karlnoski, PhD

Rachel Karlnoski, PhD

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