News / Press
Beyond Awareness: Rethinking Patient Trust And Engagement In The Age Of Decentralized Trials
The Missing Link In Equal Access: Why Community-Rooted Recruitment Is The Future Of Clinical Trials
From The Front Lines To First-In-Patient: How CSSi’s Local Enrollment Specialists Are Redefining Recruitment Readiness
4 Proven Strategies To Optimize Patient Enrollment And Avoid Rescue Trials
Articles
From Transactional To Transformative: Improving The Patient Experience In Clinical Research
The Future Of Clinical Research Enrollment: A Patient-Centric Approach
Harnessing Predictive Modeling To Overcome Clinical Trial Enrollment Challenges
White Papers
2025 Trends In Patient Recruitment: From Disruption To Precision
Shattering The Status Quo: How CSSi’s AI-Powered Strategy Is Redefining Patient Recruitment Performance
The clinical research industry has long suffered from a problem no one seems able to solve: trials launch late, enroll slowly, and fail to meet recruitment goals—over and over again. For nearly two decades, the metrics have barely moved. Until now.
CSSi—one of the oldest and most experienced patient recruitment companies in the world—is no longer playing by the old rules. We’re rewriting them.
With the strategic launch of our AI-powered platform, in collaboration with HumanTrue, CSSi has formally shifted to a performance-based pricing model that prioritizes speed, precision, and measurable outcomes. This isn’t just a tech upgrade—it’s a categorical reset of the industry’s expectations around what “successful enrollment” really means.
For 20+ years, sponsors and CROs have relied on static marketing, templated outreach, and trial-and-error enrollment plans. Recruitment delays remain the #1 driver of budget overruns and trial extensions.
We’ve seen enough. It’s time to fix it—with intelligence, not instinct.
CSSi’s investment in HumanTrue’s AI platform (CLARA) allows us to do what no one else in the industry can:
- Deliver fully certified screeners in minutes, not weeks
- Translate all study content instantly, to the literacy and language level of the patient population
- Auto-generate study-ready materials (ICFs, lab manuals, study guides, etc.) tailored to each protocol
- Match patients to trials at scale using AI and human insight combined
For the first time, CSSi can offer a performance-based pricing model grounded in data and automation, not guesswork. Because we can now pre-build trial materials, pre-match patients, and digitally screen at scale, we don’t need months of setup or bloated budgets to “try and see.”
We operate on outcomes, not inputs.
- You pay for what works: No more speculative budgets. Sponsors pay for qualified referrals, ICFs, or randomizations—driven by predictive performance.
- You launch faster: Our clients are positioned to cut trial launch timelines in half compared to industry averages.
- You reach deeper: Through AI-enabled, multilingual patient engagement, we’re meeting patients where they are—culturally, educationally, and geographically.
Imagine a trial where:
- Your screeners are finalized the same week as the protocol.
- Your translated ICFs are done before your first investigator meeting.
- Your site staff has automated study guides that simplify startup.
- Your patient funnel is live—with pre-qualified matches—before FPI.
This isn’t a dream scenario. This is the CSSi model, live and in motion.
With CLARA’s AI infrastructure and CSSi’s boots-on-the-ground Local Enrollment Specialists, you gain the best of both worlds: automation and human trust, speed and empathy, performance and partnership.
As the saying goes, insanity is doing the same thing over and over again and expecting different results.
That’s where our industry has been stuck for 20 years.
But not anymore.
With this AI transformation, CSSi is delivering a new standard for global enrollment—one that shatters timelines, expands access, and puts true performance at the heart of every recruitment strategy.
We’re not just accelerating trials. We’re accelerating the industry.
Let us show you what intelligent, performance-based recruitment really looks like.