Operation classification coding method based on original operation data

Abstract

The invention relates to the technical field of medical informatization and the technical field of artificial intelligence, in particular to an operation classification encoding method and system based on original operation data. The method comprises following steps: recieving orginal operation data; preprocessing the input original operation data; carrying out retrieval and judgment by using an international operation standard classification code ICD-9-CM-3; inquiring a hospital admission record, a disease course record and a hospital discharge record; and encoding according to the preprocessed original operation data and the acquired information in the medical record of the patient by using a bidirectional operation data entity identification model and a neural entity weight relationshipdiscrimination network, and outputting an encoding result and an accuracy evaluation result. Compared with manual coding, automatic coding is more efficient and faster, classification is stable, large-batch coding and classification of original medical records can be achieved in a short time, and data can be quickly prepared and sorted for big data application and artificial intelligence in the medical field.

Description

technical field [0001] The present invention relates to the field of medical information technology and artificial intelligence technology, in particular to a surgical classification coding method and system based on raw surgical data. Background technique [0002] With the continuous deepening of the national medical reform and the comprehensive medical layout. The informatization of medical data greatly limits the improvement of medical reform and medical services in all aspects. In the period of comprehensive development of medical big data and artificial intelligence, medical data informatization has begun to show signs, and it has begun to provide auxiliary decision-making and information support for the diagnosis and treatment process, which can help doctors improve efficiency and greatly reduce the work of doctors. In the evolutionary history of medical informatization, the standardization of medical data has always been a difficult problem to be solved and improved....

AI Technical Summary

Problems solved by technology

[0003] (1) Hospital coding personnel have uneven understanding of standard surgical coding, resulting in differences in coding results

[0004] The coding and classification work of surgical coding in hospitals is done manually, because of the limited manpower (even many hospitals do not have coders), the quality of coders is uneven, and the coders' interpretation of standards and the degree of grasp of the huge content of coding dictionaries uneven

Therefore, the number of manual code matching in the hospital is limited every day, and there are some cases of misjudgment

The coding thickness and judgment standards of coders also vary from person to person. These problems will be very obvious when the data of different hospitals are reported, reviewed, and communicated together. period, the encoding results also differ

[0005] (2) The actual operation performed by the doctor's personalization and custom input is not fully compatible with the standard operation coding library

The above-mentioned various reasons lead to great troubles in the actual business of the hospital when most doctors use the program to select the operation or write the operation by the doctor himself when filling out the operation.

[0007] (3) The standard operation coding standards in each hospital are not uniform

[0010] The imperfection and inconsistency of medical information greatly restrict the construction of medical information platforms and medical information warehouses

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