One of the major challenges in clinical trials persists in patient recruiting, which typically results in research time delays. Which strategies are often utilized by CRAs and CROs to improve selection? What effects do geography, culture, and medical conditions have on the success of recruitment? Are these problems being addressed by new ideas or innovative solutions (such as virtual trials)?
Virtual trials and telemedicine have certainly bolstered the inclusivity of recruitment, but another promising development is the use of real-world data (RWD) and artificial intelligence (AI) to select subjects more efficiently. There are CROs who are now increasingly partnering with hospitals and electronic health record (EHR) systems to flag eligible patients based on clinical data in real-time. This expedites the recruitment process and ensures more representative study populations, as there would previously be bias as certain populations would be more inclined to find trial opportunities and then volunteer for them.
This also addresses cultural factors as in some regions, mistrust in research due to historical/systemic issues have dissuaded patients from joining clinical trials. However, to more directly address this issue and remove access barriers, sponsors now are implementing community engagement initiatives--ensuring added transparency about trial benefits and risks.
Based on this discussion, what do you think about relying on digital and AI-driven recruitment? Is this a good solution on including underrepresented populations, making trials more representative? Or is there need for improvement? More specifically, how can other underserved populations (e.g., elderly people with unreliable internet access) be more included?
I think digital tools and AI are helping find eligible patients faster, but one challenge that still gets overlooked is the actual burden of participating. Even if someone wants to join, things like transportation, work schedules, childcare, or needing a caregiver can make it really hard.
CROs and CRAs could help by making trials more patient-friendly, such as offering flexible appointment times, transportation support, or occasional at-home check-ins. Also, building trust through ongoing partnerships with local clinics and community groups can make people more comfortable joining in the first place.
So while virtual trials and AI are great, they work best when paired with real, human-centered support that makes participation realistic for everyone, not just those with easy access.
While virtual trials can help with reaching as many patients as possible, this approach has drawbacks to it as well. The main benefit of virtual trials is of course, the ability to reach the maximum number of possible participants across a much more diverse population as opposed to one which is fixed to a single location may only be able to recruit from the local city and towns. This does result in the ability to ensure a diverse and hopefully less biased participant group to avoid unknown bias that may result in recruiting from a single area. However, virtual trials may prove much more difficult to manage than in person ones. It will likely be much more difficult to ensure patients properly follow instructions, and patients will likely feel less engaged in a virtual setting compared to a in person one. So while, you will be able to reach a larger participant pool it may be necessary to select people who are more eager or willing to actively participate and provide honest feedback. Ultimately, in a virtual trial it may be more effort for the CROs and CRAs to ensure active participation.