The present application relates to the field of medical
informatization and
artificial intelligence technology, and specifically provides a
medical record connotation
quality control method and device based on a large
language model, which has the following steps: S1,
medical record document
data access, document content preprocessing; S2, clear
quality control content, construct
quality control rule
library; S3, construct
medical knowledge base: based on clinical guidelines and evidence-based
medicine evidence base, establish diagnosis standard,
drug, treatment project, inspection project
knowledge base; S4, entity extraction: use a large
language model to extract diagnosis,
drug, treatment project and inspection project name; S5, model reasoning: query the
relevant information of the extracted entity in the
knowledge base, according to the quality control rules, combine the queried
relevant information with the medical document and submit them to the
large model for reasoning to give the quality control result; S6, problem collection, model optimization. Compared with the prior art, the present application can significantly improve the intelligent level of
medical record connotation quality control, effectively assist clinical doctors and quality control personnel to improve the quality of medical
record writing, ensure
medical safety, and improve hospital
management efficiency.