Zero-Shot Clinical Trial Patient Matching with LLMs

Matching patients to clinical trials is a key unsolved challenge in bringing new drugs to market. Today, identifying patients who meet a trial's eligibility criteria is highly manual, taking up to 1 hour per patient. Automated screening is challenging, however, as it requires understanding unstructured clinical text. Large language models (LLMs) offer a promising solution. In this work, we explore their application to trial matching. First, we design an LLM-based system which, given a patient's medical history as unstructured clinical …

automated challenge clinical clinical trial clinical trials cs.ai cs.cl drugs hour key language language models large language large language models llms patient patients per screening text understanding unsolved unstructured zero-shot