Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction

ArXi:2605.06191v1 Announce Type: new The work in this paper evaluates zero-shot and few-shot large language models (LLMs) for safety-critical clinical action extraction using the CLIP discharge-note dataset, with particular emphasis on transitions of care and post-discharge patient safety. To manage the complexity of clinical documentation, we