LLM surpasses pre-screening capabilities of traditional NLP and rule-based algorithms

Privacy-by-design clinical trial pre-screening combines event-driven patient selection, data minimisation, and pseudonymisation to identify eligible patients accurately while protecting their privacy and reducing unnecessary exposure of sensitive health data.

AI-driven pre-screening technology has the potential to streamline patient recruitment for clinical trials, but only if it adapts to how clinical teams actually work. Expecting teams to change their workflow for the technology is rarely effective. This principle became clear during our recent pilot with the cardiology department at AZ Klina.