Our system introduces a groundbreaking approach in clinical trial recruitment by leveraging Large Language Models (LLMs), including bespoke models and GPT-4. It serves dual functions: aiding Contract Research Organizations (CROs) in matching patient databases to active studies on clinicaltrials.gov, and uniquely, enabling pharmacies to identify the most fitting clinical trials for individual patients.

This latter capability, a novel application facilitated solely by our advanced LLM technology, places recruitment downstream in the care process, offering a more personalized and efficient approach to trial enrollment. Remarkably, the system has demonstrated high match rates and significant enrollment rates in a study with pharmacies. This presentation will explore the system’s innovative use of LLMs in patient-trial matching, its transformative impact on the recruitment landscape, and the potential future directions of this technology in clinical research.