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Break the Bottleneck:
Accelerate Trial Recruitment Without the Guesswork

Every missed enrollment deadline isn’t just a delay – it’s a financial hundrance and a life-threatening setback for patients waiting on new treatments.

Technology-enabled recruitment changes that – automating patient matching, removing barriers, and accelerating enrollment so trials stay on track.

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Clinical Trials Are Stuck in Slow Motion

A circular progress chart mostly filled in blue illustrates staff burnout, with the number 86% in large text at the center; a small segment is colored light beige.

of trials fail to meet
enrollment targets on time1

A blue circular progress chart showing 80 percent completion, with a small beige segment representing the remaining 20 percent—an effective way to visualize healthcare staff burnout. The center displays 80% in large blue text.

of trials miss initial
enrollment goals and timelines2

A circular progress chart highlights healthcare staff burnout, with a blue segment showing 20 percent and the rest in beige. The number 20% is displayed in large blue text at the center.

of clinical trials are terminated
early due to insufficient enrollment3

The Hidden Cost of Slow Recruitment

$500,000+

lost per day due to delays4

$5M+

added costs for every 3-month Phase III delay (~$55,000/day)4

BILLIONS

Billions in lost revenue from delayed market entry5

The 5 Biggest Enrollment Roadblocks

Icon of a clipboard with checkmarks next to the text “Strict Eligibility Criteria. Complex inclusion/exclusion criteria shrink the patient pool and can contribute to healthcare staff burnout.”.
Icon of a document with a pen, next to the text Data Silos. Manual pre-screening is slow and inefficient, contributing to healthcare staff burnout.
Icon of a megaphone next to the text: “Limited Awareness. Many eligible patients never hear about trials—often due to healthcare staff burnout.”.
A downward graph with text: Poor Retention. 85% of trials fail to keep enough patients enrolled, often worsening healthcare staff burnout.
Illustration of a car next to text: Geographic Barriers. 70% of patients live 2+ hours from a trial site, increasing travel demands and contributing to staff burnout.

The Fast Lane to Enrollment

No more recruitment bottlenecks. No more delays. Inovalon’s Clinical Research Patient FinderTM matches eligible patients instantly – so your trial moves faster, with less effort.

A light blue right-pointing triangle, resembling a play button, on a dark blue background—symbolizing action in addressing healthcare staff burnout.

Find Patients in Minutes

Monitor the EHR 24/7 for potential eligibility

A light blue right-pointing triangle, resembling a play button, on a dark blue background—symbolizing action in addressing healthcare staff burnout.

Gain Full-Site Visibility

Track patient matches, site performance, and enrollment progress

A light blue right-pointing triangle, resembling a play button, on a dark blue background—symbolizing action in addressing healthcare staff burnout.

Expand Your Patient Pool

Detect and resolve eligibility roadblocks in real time

Faster Enrollment, Lower Costs,
Bigger Impact

  • 30-50% lower recruitment costs6
  • Billions saved in earlier market entry7
  • Improved access and trial diversity8

Why Sponsors Are Racing to
AI-Driven, Real-Time Recruitment

  • Faster time-to-market for new treatments
  • Lower costs and fewer trial failures
  • Real-time insights into site and recruitment data
  • Less admin work, more time for patient care

For patients, it means one thing: faster access to life-saving treatments.

The Future of Clinical Trial Recruitment Starts Now

Every missed enrollment deadline isn’t just a delay – it’s a financial hundrance and a life-threatening setback for patients waiting on new treatments.

Clinical Research Patient Finder changes that – automating patient matching, removing barriers, and accelerating enrollment so trials stay on track.

How much faster could
your trial move?

Book a Demo Today
  1. Digital technologies used in clinical trial recruitment and enrollment including application to trial diversity and inclusion: A systematic review, Kasahara, A., Mitchell, J., Yang, J., Cuomo, R. E., McMann, T. J., & Mackey, T. K., Digital Health, March 28, 2024, https://pmc.ncbi.nlm.nih.gov/articles/PMC10981266/#bibr1-20552076241242390
  2. “Decentralized clinical trials: Are we ready to make the leap?,” Biopharma Dive, January 29, 2019, https://www.biopharmadive.com/spons/decentralized-clinical-trials-are-we-ready-to-make-the-leap/546591/
  3. Barriers to Patient Enrollment in Therapeutic Clinical Trials for Cancer: A Landscape Report. American Cancer Society Cancer Action Network; 2018. Accessed October 12, 2023. https://www.fightcancer.org/sites/default/files/National%20Documents/Clinical-Trials-Landscape-Report.pdf
  4. “How Much Does a Day of Delay in a Clinical Trial Really Cost?,” Ken Getz, Applied Clinical Trials, June 6, 2024, https://www.appliedclinicaltrialsonline.com/view/how-much-does-a-day-of-delay-in-a-clinical-trial-really-cost-
  5. “The Cost of a One-Day Delay in a Clinical Trial: Understanding the Economic, Scientific, and Human Impact,” Matthew Spot, November 19, 2024, https://www.linkedin.com/pulse/cost-one-day-delay-clinical-trial-understanding-human-matthew-qfhie/
  6. Deloitte, www2.deloitte.com/content/dam/insights/us/articles/3967_Digital-tech-in-R-and-D/3967_Digital-tech-in-RD.pdf.
  7. “How AI is revolutionizing clinical trials, drug development,” Alivia Kaylor, TechTarget, February 24, 2025, https://www.techtarget.com/pharmalifesciences/feature/How-AI-is-revolutionizing-clinical-trials-drug-development
  8. “The Role of Artificial Intelligence in Clinical Trial Design and Research with Dr. ElZarrad,” FDA Podcast, May 30, 2024, https://www.fda.gov/drugs/news-events-human-drugs/role-artificial-intelligence-clinical-trial-design-and-research-dr-elzarrad
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