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Success Stories
A fully virtual, direct-to-patient study just closed enrollment three months ahead of schedule.
TrialScreen Inc. and Castor connected awareness, self-screening, consent, enrollment, and ePRO into one automated pipeline. 2,402 participants enrolled through TrialScreen outreach, 96.7% actively used the Castor ePRO system, and 93.8% completed every study element.
Read the case study: https://lnkd.in/egW7cd-d
Industry-leading data extraction accuracy, in an approach built to survive a sponsor audit.
Human reviewers accepted more than 99 percent of what the AI extracted from source records, across studies in five countries. First to market, and built so people stay in control.
See what we announced ➡️ https://lnkd.in/ebbZNb2Y
Does how a patient enrolls change what happens to the data afterward?
New research from Castor and Thermo Fisher Scientific examines patient-led digital enrollment in RWE studies, and whether letting patients self-enroll and self-serve affects downstream data completeness.
The early signal, from a preliminary matched analysis: patient-led digital enrollment reached half of a study's enrollment in a median of one month, versus six months for site-based recruitment, with long-run engagement holding up. Roughly six times faster to the halfway mark.
It points to the shift we are building toward: patient-led enrollment, eConsent, and pulling electronic medical record (EMR) data straight into the CRF, all aimed at cutting burden for sites and participants alike.
Presenting at ICPE 2026
- Poster: Board A-007, Session A
- Co-authors: Susan Oliveria, Christine Varner, Derk Arts, MD PhD, Sebastiaan Knijnenburg
- In Milan? Come talk RWE with Floris Morang and Dualtagh Franklin-Charlesworth. Not there? The full write-up is here: https://lnkd.in/eCJVPnFH.
Conclusion
"Data can tell us what is happening. It doesn't always tell us why."
That line from Matthew Gordon of Aptitude Health framed the whole debate with Derk on the future of real-world evidence. The record shows a treatment switch. It rarely shows the reason behind it.
So where does that leave AI, and the physician? Read the recap below.
Watch back on the full discussion here: https://lnkd.in/ekQ-XUfV
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