Patient Recruitment
Streamline Patient Identification for Site Teams
Simplify the process of identifying eligible patients for the site’s clinical research team with our expertise and technology.
The Challenge
Patient identification is a critical hurdle in clinical trials, with inefficiencies leading to increased costs and delays.
1/3
of clinical trials fail to enroll the target sample of patients, leading to extended timelines and cancellations
67%
increase in registered studies in the last five years
The Opportunity
We offer unparalleled reach into diverse patient populations, ensuring your studies benefits from broad and inclusive participant recruitment.
217M
million patients are treated annually by Q-Centrix hospital partners
Focus on Enrollment, Not Identification
With pre-screened patient lists, site teams can concentrate on engaging and enrolling patients, significantly reducing their workload and increasing efficiency.
Accelerate Your Trial Timeline
Reduce trial costs, minimize delays, and bring your product to market sooner with faster, high-quality recruitment.
Standardize Processes and Reduce Bias
Our consistent, efficient procedures are shared across our network, screening every possible patient, reducing recruitment delays, and ensuring smoother operations.
Streamline patient identification efforts by leveraging technology and expert data curation to pre-screen and identify eligible patients.
How it Works
Q-Centrix simplifies patient recruitment through seamless data access and expert-driven processes.
Thorough data curation from our partner hospitals, conducted by over 1,300 clinical data experts.
Potential participants are identified as the data is transformed into structured, actionable data sets.
Our experts collaborate with site teams to ensure candidates are pre-screened and ready for enrollment.
This streamlined approach eliminates guesswork, reduces delays, and ensures that only the most qualified patients are considered.
Why Other Solutions Don’t Work
AI solutions can be useful but only if it’s guided by clinical expertise. The vast majority of AI are not trained on enough data to replace an experienced clinical expert’s screening capability.
Software solutions deployed at the site aren’t used by hospital staff due to a lack of resourcing.
Our focus on expert talent in support of the hospital is the first steppingstone to unlocking the bottlenecks at hospitals.
Q-Centrix was able to process 3,000 patients across 5 hospitals in 6 weeks to enable abstract submission for a partner.
– unnamed clinical research coordinator
Why Q-Centrix?
Choosing Q-Centrix means partnering with the nation’s leader in clinical data management. Our track record speaks for itself—we consistently improve recruitment outcomes, helping you meet your trial goals with unparalleled access and expertise.
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Ready to Streamline Your Patient Identification?
Contact Q-Centrix today to discuss how we can help you achieve faster, more efficient trials with pre-screened, eligible patients.