Knowledge graph and artificial intelligence-based surgical coding and additional coding method and system

Abstract

The invention provides an operation coding and other coding method and system based on a knowledge graph and artificial intelligence, and the method comprises the steps: obtaining a marked corpus according to an operation record, carrying out the word segmentation of the marked corpus, and obtaining a word segmentation result; performing information completion on the word segmentation result by utilizing an entity recognition operation recombination technology; judging whether additional coding is needed or not according to the complemented word segmentation result; if additional coding is needed, another code which is not coded is searched from the medical record, and if an operation needing additional coding exists in the operation record, but coding is not carried out, prompting is carried out, so that additional coding is completed. According to the method, the operation written by a clinical doctor can be converted into the operation name conforming to the operation code for coding, meanwhile, accurate reminding can be carried out according to the operation and operation which are performed by the clinical doctor in the operation process but do not have the code, missed coding and less coding of the operation code are reduced, and the quality of a home page of a medical record is improved.

Description

technical field [0001] The invention belongs to the technical field of medical informatization and artificial intelligence, and in particular relates to a method and system for surgical coding based on knowledge maps and artificial intelligence. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the continuous deepening of national medical reform and the comprehensive development of medical layout, the state requires that the quality of medical records in hospitals needs to be effectively improved, and the internal scientific research and statistics of hospitals also pose new challenges to the quality of medical records. High-quality medical records mainly reflect Completeness and accuracy of information in medical records. [0004] Therefore, with the continuous development of artificial intelligence technology, medical big data plays ...

AI Technical Summary

Problems solved by technology

[0006] (1) Missing other codes caused by inaccurate information filled in by doctors

After filling in the information on the first page of the medical record, the doctor is generally required to fill in the operation and operation information together, but the doctor does not understand the operation coding system, so the operation code filled in may not conform to the operation coding specification, resulting in errors in the coding; and there will be errors Insufficient writing or omission of writing makes it difficult for subsequent coders to perform fast and accurate coding

[0007] (2) The coder did not code according to the standard, resulting in the lack of another code

Because coders need to deal with different tasks in daily work, different tasks cannot be taken care of at the same time during the coding process, and the coders in each hospital have different coding understandings, and some coders have limited coding skills and cannot standardize correctly encoding and re-encoding

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