Disease coding method and system based on regional medical big data

Abstract

The invention discloses a disease coding method and system based on regional medical big data. The method comprises the following steps: S1, collecting electronic medical record data; S2, cleaning and denoising the collected disease name data; S3, establishing a mapping relation dictionary to obtain an international disease classification mapping dictionary; S4, establishing a generality mapping model; S5, mapping the disease name data, and outputting a corresponding disease coding result; and S6, performing targeted supervision on the successfully mapped data set and the unsuccessfully mapped data set. The method and system have the beneficial effects that the efficiency, the accuracy rate and the recall rate of automatic disease coding can be effectively improved, and in addition, the complicated and changeable disease names are subjected to standard and standard classified coding, therefore, standardized processing of electronic medical record data and medical image data, inspection and other medical big data associated with the electronic medical record data can be facilitated, and the method and system can be finally applied to the fields of quality control, scientific research and artificial intelligence.

Description

technical field [0001] The present invention relates to the field of medical data processing, in particular to a disease coding method and system based on regional medical big data. Background technique [0002] After the regional medical big data platform collects the data of medical institutions in the jurisdiction, in order to make the data fully managed and further developed and utilized, it needs to manage the collected data. Among them, standardized and standardized disease names not only meet the requirements of medical insurance payment reform, but also play a vital role in the development and utilization of medical big data. Whether in the field of quality control, scientific research or artificial intelligence, when developing and utilizing medical big data, it is necessary to rely on standard disease names. [0003] The disease name on the electronic medical record is the corresponding name finally given by the clinician after classifying and identifying the dise...

AI Technical Summary

Problems solved by technology

However, neither the approximation algorithm nor the mapping model based on machine learning can perfectly solve the above problems, and the corresponding recall rate and accuracy rate basically cannot meet the practical standards.

Images