Beyond Literal Summarization: Redefining Hallucination for Medical SOAP Note Evaluation

arXiv:2604.14829v1 Announce Type: new Abstract: Evaluating large language models (LLMs) for clinical documentation tasks such as SOAP note generation remains challenging. Unlike standard summarization, these tasks require clinical abstraction, normalization of colloquial language, and medically grounded inference. However, prevailing evaluation methods including automated metrics and LLM as judge frameworks rely on lexical faithfulness, often labeling any information not explicitly present in th