PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models

Understand

Clinical trial matching is the task of identifying trials for which patients may be potentially eligible.

• Typically, this task is labor-intensive and requires detailed verification of patient electronic health records (EHRs) against the stringent inclusion and exclusion criteria of clinical trials.
• This process is manual, time-intensive, and challenging to scale up, resulting in many patients missing out on potential therapeutic options.
• Recent advancements in Large Language Models (LLMs) have made automating patient-trial matching possible, as shown in multiple concurrent research studies.