This invention discloses a method and
system for generating
medical ward round records based on a large
language model. Specifically, it includes: transcribing the speech of a doctor-patient
ward round to generate initial speech text containing speaker identifiers; inputting the text into a first
processing agent for preprocessing, including terminology
standardization, temporal expression
standardization, and preliminary semantic normalization; inputting the preprocessing results along with patient medical data into a second generation agent; constructing structured prompts through the synergistic effect of long-term and short-
term memory; and calling a large
language model fine-tuned from the medical corpus for semantic reconstruction to generate a structured
ward round record; establishing a cross-stage consistency constraint mechanism between terminology
standardization, temporal expression standardization, and semantic reconstruction; verifying entity association paths in the generated results using a
knowledge graph; and generating a consistency feedback
signal. The feedback
signal is then sent back to the first
processing agent and the second generation agent for iterative correction.