When Manual Screening Fails: How a Clinical Trial Software Saved an Oncology Study from Collapse
Clinical trial software that turns screening setbacks into enrollment success.

What You'll Learn from This Blog:
- Why outdated clinical trial screening methods are slowing down patient enrollment
- The financial and operational impact of high screening failure rates
- How AI-powered clinical trial software helped reduce failures by 80%
- What sets Kitsa apart: explainable AI, seamless EHR integration, and zero setup complexity
- How pharma operations teams can transform site performance without increasing costs
In clinical research, time is precious, and every failed patient screen costs more than just money. It delays drug development, drains trial budgets, and leaves eligible patients unreached. Yet, many trial sites still rely on manual screening methods that overlook critical eligibility details.
This is the challenge facing Maria Evans, a Director of Clinical Trial Operations at a mid-sized pharmaceutical company in Boston with 15 years of experience. As she launched a time-sensitive oncology trial, Maria encountered a familiar obstacle: screening failures were spiraling out of control, costing the site thousands of dollars.
Keep reading to find out how a clinical trial software turned things around and provided Maria with a smarter approach to clinical trial patient enrollment.
How Manual Screening Impacts Clinical Trial Patient Enrollment
Maria's company had recently received approval to begin recruitment for a phase III oncology trial. The protocol included over 50 eligibility criteria, and to improve reach and diversity, they partnered with a mix of rural clinics, community hospitals, and independent sites.
With strict deadlines in place, Maria pushed to ramp up clinical trial patient enrollment quickly. Sites were onboarded, and clinical research coordinators (CRCs) were trained. Everything appeared ready.
But as clinical trial screening began, enrollment numbers started to lag, with only 5% success rate. Reports showed patient outreach, yet very few made it past pre-screening. The gap between effort and results was growing, and Maria knew they couldn't afford to fall behind.
When Broken Clinical Trial Screening Puts the Entire Trial at Risk
Slow starts are not uncommon in clinical software. Maria had managed enough trials to know that clinical trial screening was often imperfect, manual, tedious, and inconsistent across sites. But this time, the stakes were higher. The timeline was tighter. And the financial pressure was real.

She'd been watching the numbers dip for weeks. Emails trickled in from sites. While some said they were still reviewing the records, others said they only got a handful of matches. With each disappointing email, Maria's frustration increased.
Then came the budget checkpoint. Finance flagged the growing cost of screening failures, with hundreds of patients reviewed and only a fraction enrolled. Each failed screen meant another $1,200 lost. At this rate, they'd burn through 30% of their pre-screening budget before hitting even modest enrollment goals.
The issue wasn't outreach or effort. It was how patients were being evaluated. Sites were filtering based on what they could quickly scan: diagnosis codes, keyword flags, a handful of major criteria, because they simply didn't have the tools or time to screen deeply.
She doubled down on oversight, sent protocol clarifications, and hosted emergency calls with site leads. But it didn't matter. It was clear that she needed a more streamlined approach.
The Clinical Trial Software That Changed Everything
Maria's breakthrough came during a feasibility call with a new research site in Alameda County. The site director mentioned they were using a clinical trial software called Kitsa, a platform that automated the patient screening process using AI. Intrigued, Maria set up a follow-up demo to learn more.

Kitsa integrates directly with the site's Electronic Health Record system (EHR) and uses deep AI inferencing to evaluate over 50 eligibility criteria per patient, pulling insights not just from structured fields, but also from clinical notes, medications, and lab results. It went far beyond basic diagnosis codes or keyword searches.
What stood out to Maria was how clinical trial screening decisions were explained and backed with traceable data. Every qualified patient came with clear reasoning and source evidence, making audit readiness seamless.
Unlike tools she'd seen before, Kitsa's clinical trial software didn't require complicated setup or new workflows—it fit into existing systems with minimal disruption.
Convinced by the results and ease of implementation, Maria decided to onboard Kitsa at select trial sites. Within weeks, she saw a measurable shift: screening failures dropped by 80%, enrollment timelines accelerated, and site teams reported more confidence in patient matching. The trial, once lagging behind, was now ahead of schedule, without increasing headcount or compromising quality.
For Maria and her team, the benefits went beyond faster patient enrollment. Kitsa's built-in Marketplace opened new opportunities for trial sites to be discovered by Pharma companies planning future studies.
Why the Right Clinical Trial Software Makes All the Difference
By adopting Kitsa's clinical trial software, Maria didn't just rescue an underperforming trial; she created a repeatable model for smarter, faster enrollment. With AI-powered screening, explainable results, and seamless integration into existing EHR systems, her team reduced screening failures, improved site performance, and stayed ahead of deadlines without increasing overhead.
For sponsors and sites facing enrollment challenges, Kitsa delivers accuracy, transparency, and scale. With explainable AI, seamless EHR integration, and zero setup complexity, sites can reduce screening failures, improve performance, and stay ahead of deadlines.
And with Kitsa's Marketplace & Demand Generation capabilities, trial sites gain visibility with Pharma companies who are planning new studies by unlocking growth and creating a level playing field even for smaller or rural sites.
Ready to transform your trial sites into high-performing enrollment engines? Explore what Kitsa's clinical trial software can do for your next study.
Disclaimer
This story is a fictional account inspired by real-world situations and challenges within clinical trial operations.
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