Medical data correction method and device, computer equipment and storage medium

Abstract

The embodiment of the invention belongs to the technical field of big data, is applied to the field of smart medical treatment, and relates to a medical data correction method and device, computer equipment and a storage medium. The method comprises the steps of receiving disease data which comprises disease names and disease codes; cleaning and merging the disease names to obtain a local disease name; respectively determining the number of each disease code associated with the local disease name, taking the disease code with the largest number as a local disease code, and generating a matching library based on the local disease code and the corresponding local disease name; and receiving a standard code library and medical data, wherein the medical data comprises to-be-coded names, the to-be-coded names are matched based on the standard code library and / or the matching library, target codes are obtained, and the target codes are associated with the to-be-coded names. The matching library may be stored in a blockchain. According to the invention, accurate coding of the to-be-coded name is realized so as to correct the original coded data of the to-be-coded name.

Description

technical field [0001] The present application relates to the technical field of big data, in particular to a medical data correction method, device, computer equipment and storage medium. Background technique [0002] With the deepening of the reform of the medical and health system and the continuous innovation of medical insurance methods, the requirements for how to make good use of disease data have become increasingly strong, and the quality of its coding has become a key factor for the correct and effective use of diagnostic medical record information. Realizing the standard coding of disease data in various medical institutions can continuously improve the level of disease classification. [0003] However, due to the non-standard writing and naming of diagnostic medical record information, such as random writing of disease names and codes, typos in disease diagnosis, incomplete and irregular writing of diagnoses, random abbreviations, abbreviated disease names and co...

AI Technical Summary

Problems solved by technology

[0003] However, due to the non-standard writing and naming of diagnostic medical record information, such as random writing of disease names and codes, typos in disease diagnosis, incomplete and irregular writing of diagnoses, random abbreviations, abbreviated disease names and codes, and merging of multiple disease names Written into a situation, etc., will directly affect the matching of the disease name to the correct code

And because the disease classification standards adopted by various cities are not the same, it is difficult to compare horizontally and vertically, and it also increases the difficulty of standardization of coding matching. It is necessary to code the names to be coded in the disease data to be corrected to realize the treatment. When correcting the correction of disease data, it is difficult to achieve accurate correction

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