This invention discloses a method and
system for intelligent coding review and
automated data entry of medical records, relating to the field of
data processing technology. The method acquires structured data from the
electronic medical record system, including the patient's
discharge diagnosis, treatment process,
pathology report, medication records, and cost information, through multi-source acquisition. The data is then classified and preprocessed according to
medical record type. A pre-trained
natural language processing model analyzes the text data in the
medical record homepage to understand the doctor's diagnostic descriptions and treatment process. Combined with a constructed coding rule base and
knowledge graph, a recommended coding
list and anomaly alerts are output through rule mapping and reasoning. A human-
machine collaboration mechanism is established to automatically enter the reviewed
medical record coding data into the medical
record management system. This solves the problems of excessive reliance on manual operation, insufficient coding accuracy, and low efficiency in existing medical
record coding review methods, forming a precise medical
record coding working mode based on human-
machine collaboration.