A Benchmark of Domain-Adapted Large Language Models for Generating Brief Hospital Course Summaries

arXiv:2403.05720v1 Announce Type: cross
Abstract: Brief hospital course (BHC) summaries are common clinical documents generated by summarizing clinical notes. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare applications such as BHC synthesis have not been shown. To enable the adaptation of LLMs for BHC synthesis, we introduce a novel benchmark consisting of a pre-processed dataset extracted from MIMIC-IV notes, encapsulating clinical note, and brief hospital course (BHC) pairs. We assess the performance …

abstract applications arxiv benchmark capabilities clinical course cs.ai cs.cl cs.lg documents domain generated healthcare hospital language language models large language large language models llms notes summarizing synthesis tasks type world