After more than 20 years working in patient recruitment across clinical trials, one of the most consistent patternsI've seen is this: even studies supported by strong feasibility can perform differently once recruitment begins. That's because the reality of enrolling patients often introduces factors that feasibility data alone can't fully predict.
On paper, we have never been in a stronger position. We have access to vast datasets, real-world evidence, detailed site intelligence, and increasingly sophisticated tools to identify where patients are, what treatments they are on, and which physicians are treating them. We can map patient geographies, understand referral pathways, and deploy highly targeted digital campaigns to reach potential participants at scale.
At the same time, patient recruitment remains one of the most persistent challenges in clinical trials. The reality is that while data has transformed how we plan recruitment, successful enrollment still depends on factors that data alone cannot predict.
Looking Beyond Traditional Feasibility
A key issue lies in how we interpret feasibility. Feasibility assessments often provide a positive picture with large numbers of potentially eligible patients identified through databases, site estimates that appear achievable, and a sense that recruitment won’t be a major barrier.
Feasibility provides valuable insight into how many patients may meet specific clinical criteria and where they may be located. What it doesn’t tell us, at least not with the same level of confidence, is how many of those patients are accessible, interested, eligible after full screening, and willing and able to participate. The drop-off between these stages can be significant. A database might suggest hundreds or thousands of potential patients, but the number who ultimately consent to participate is often a fraction of that.
This doesn't diminish the value of feasibility; it highlights the importance of complementing data with an understanding of patient behaviour, site capabilities, and the practical realities of participation. At Novotech, we've seen that recruitment strategies are often more effective when feasibility data is combined with practical insight into patients, sites, and what influences a patient's decision to participate.
Data Has Transformed Recruitment Planning But Human Factors Still Matter
These tools have undoubtedly improved how we identify potential patients. But identification is only one part of the equation. Recruitment success is still largely determined by something data alone cannot solve whether trials are realistically designed, accessible, and acceptable to patients.
Over the past two decades, we’ve seen a transformation in the availability and sophistication of data:
- Real-world data platforms providing insights into disease prevalence and treatment patterns
- Digital advertising enabling targeted outreach to highly specific patient populations
- Advanced analytics identifying high-potential sites and investigators
- Greater visibility into referral networks and specialist hubs
Many recruitment challenges arise not from identifying patients, but from whether those patients are willing and able to participate. Common factors include:
- Protocol complexity: protocols are becoming increasingly complex, with strict inclusion/exclusion criteria that significantly narrow the eligible population.
- Patient burden: frequent visits, long visits, invasive procedures, and multiple assessments can be overwhelming. For many patients, particularly those managing chronic conditions or balancing work and family commitments, the burden is too high.
- Complex patient journey: from initial awareness to enrollment, patients may face multiple steps, online forms, screening calls, pre-screening assessments and site visits. At every step, there is drop-off.
- Medical jargon: study materials are often not written in a way that is clear or meaningful for patients. If patients don’t fully understand what’s involved, they are less likely to proceed.
- Limited engagement with Patient Advocacy Groups: Patient Advocacy Groups are one of the most trusted channels for reaching and engaging patients, yet they are not consistently or early enough embedded into recruitment strategies.
One of the most important lessons from experience is that recruitment is not purely a data challenge; it is also a human one. Data helps identify potential participants, but successful enrollment depends on trust, clear communication, practical study design, and the overall patient experience. These factors ultimately influence whether a patient chooses to participate and remain engaged throughout the trial.
What Hasn’t Changed in 20 Years
Despite all the technological progress, three key factors continue to determine recruitment success:
- Trust: patients need to feel confident in the study, the site, and the purpose of the research.
- Burden: the more participation disrupts a patients daily life, the less likely they are to enroll and stay enrolled.
- Human Behavior: decisions about trial participation are influenced by emotion, perception, convenience and personal circumstance.
This is not to say that data hasn't added tremendous value. It has fundamentally improved how sponsors identify patients, select sites, and plan more informed recruitment strategies. The real opportunity lies in combining these powerful data-driven insights with patient insights and thoughtful study design to create studies that are not only scientifically robust, but also practical and appealing for patients.
At Novotech, we've found that recruitment outcomes are often stronger when feasibility data is combined with a deeper understanding of patients’ needs, motivations, barriers and real-world experiences. By integrating patient perspectives early, Sponsors can make informed decisions about protocol design, visit schedules, recruitment tools, and support services that reduce burden and improve participation.
Novotech’s Patient Engagement team works alongside Sponsors and study teams from the earliest stages of study planning to help bridge the gap between data and patient reality. By combining data-based feasibility with patient advocacy partnerships, patient pathway analysis, patient focused protocol recommendations, communication strategies, and targeted outreach approaches, we help Sponsors develop recruitment plans that are both evidence-based and focused on successful recruitment.
The most effective recruitment strategies are rarely driven by a single solution. They are built on the combination of robust data, meaningful patient insights, strong site engagement, a patient communication plan and thoughtful protocol design. When these elements come together, studies are better positioned to reach the right patients, reduce recruitment risk, and improve enrolment performance.
After more than 20 years in this field, the biggest lesson is this: successful recruitment is not just about finding eligible patients – it’s about creating clinical trials that patients can understand, access and feel confident in deciding to participate.
The future of patient recruitment is promising. We now have more data, more technology, and more opportunities to understand and engage patients. When these capabilities are combined with patient insight, patient-centric study design and a clear plan, recruitment becomes more predictable, more efficient and more successful.
The studies that achieve the best recruitment outcomes recognize that data and human insight are not competing approaches – they’re most powerful when working together.