Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology

arXiv:2404.06680v1 Announce Type: new
Abstract: Retrieving information from EHR systems is essential for answering specific questions about patient journeys and improving the delivery of clinical care. Despite this fact, most EHR systems still rely on keyword-based searches. With the advent of generative large language models (LLMs), retrieving information can lead to better search and summarization capabilities. Such retrievers can also feed Retrieval-augmented generation (RAG) pipelines to answer any query. However, the task of retrieving information from EHR real-world clinical data …

abstract arxiv classifier clinical cs.cl delivery ehr generative improving information language language models large language large language models llms oncology patient questions records retrieval systems type