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

arXiv:2404.15549v1 Announce Type: new
Abstract: 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 …

abstract arxiv clinical clinical trial clinical trials cs.ai cs.cl electronic electronic health records health inclusion interpretation labor language language models large language large language models patient patients records semantic type verification