The invention discloses a mixed expert model-driven medical
large model discharge settlement generation method and
system, and the
system comprises an acquisition module, a labeling module, a model training module, and a generation module, and the acquisition module is used for
data acquisition and preprocessing; through rule and expert model review, the consistency and high quality of a
data labeling result are ensured; the model training module is used for training a Chinese medical
large model, and integrates a plurality of field expert networks in a large-scale pre-training
language model by adopting a
hybrid expert model technology; and the generation module is used for generating a
discharge nodule, and comprises the following steps: the
system receives the input of the patient, processes the input data of the Chinese medical
large model in the model training module, and generates a personalized
discharge nodule. By adopting the method and the system, the generation efficiency and the quality of the
hospital discharge notes are remarkably improved, the personalized
hospital discharge notes can be generated according to the specific condition of each patient, and
nursing suggestions and follow-up visit plans which better meet the requirements are provided.