Disease classification encoding method and system based on original diagnosis data

Abstract

The invention discloses a disease classification encoding method and system based on original diagnosis data. The method includes the steps: receiving inputted data comprising the original diagnosis data; preprocessing the inputted original diagnosis data; searching in an ICD-10 (international classification code for disease), judging whether a result is acquired or not, performing word segmentation processing, association conversion processing and searching and matching tree processing on the original diagnosis data if not, and screening an optimal result from matching tree processing results; evaluating encoding accuracy of the result, and outputting an encoding result and an accuracy evaluation result. The method effectively solves the problem of non-uniform standard diagnosis codes used by various medical institutions.

Description

technical field [0001] The present invention relates to the field of medical information technology and artificial intelligence technology, in particular to a disease classification coding method and system based on original diagnostic data. Background technique [0002] With the continuous deepening and deepening of the country's layout of public medical care and medical reform, the all-round improvement of medical services has put forward urgent requirements for medical informationization. In terms of medical insurance, public health services, and hospital informatization management, medical informatization has developed from the process automation management that completes the entire process of recording to Internet + health care; under the current background of big data and artificial intelligence, medical informatization gradually touches the core of medical care. The core business is to provide auxiliary decision-making and guidance reference for the diagnosis and trea...

AI Technical Summary

Problems solved by technology

This work is done manually, so it is subject to manpower, the quality of coders, the interpretation of standards and the grasp of the huge content of the coding dictionary, as well as the working years and experience, so the number of manual code matching is limited every day, and there are cases of misjudgment , and the degree of coding thickness and judgment standards also vary from person to person. In the comparison and exchange of data in different hospitals, these problems will be highlighted and magnified. has a difference

[0005] (2) The actual diagnosis of the doctor's personalized and custom input is not fully compatible with the standard diagnosis coding library

[0006] Because the diagnoses contained in the diagnosis coding database cannot completely cover the diagnoses actually used by doctors in their daily work, and for the same diagnosis, due to the particularity of Chinese, the expression of the same disease concept is extremely diverse and there is no uniform standard medical treatment in the industry. The standardization of terminology, the wording and structure of the diagnostic names used by different doctors are also different, varied, and the aliases used are very different; in addition, the update of the standard diagnostic dictionary takes a long time (national standard ICD10, last updated in 2009 8 years have passed since this update in 2017), which cannot cover the latest diseases and their names in time; and for the classification of specific diagnoses, the level of detail of the standard codes cannot meet the actual clinical requirements of doctors; Or when a doctor writes a diagnosis, he will add some additional detailed information when writing the diagnosis, and the standard diagnostic code library can not reflect the distinction and classification of the additional information; moreover, when the doctor writes the diagnosis, he will also use some Only abbreviations or abbreviations familiar to the industry, and these are not included in the standard diagnostic coding library

Fundamentally speaking, doctors record disease information in detail from the perspective of diagnosis and treatment, rather than for classification and coding, so the incompatibility is deeply rooted and inevitable. When filling out the diagnosis, there are many errors in using program selection or handwritten coding

[0007] (3) The version of the standard diagnostic coding library is not uniform

[0008] At present, the coding library used by various hospitals on the market is mainly derived from the 2009 edition of the national standard diagnostic coding library combined with the modification and expansion of each hospital's own needs. The modified and expanded parts are not uniformly managed and distributed by specialized organizations and institutions. The versions between hospitals are not fully compatible, and some hospitals even use an earlier national standard version modified and derived, so even if the same disease is used in different hospitals, the codes used in different hospitals cannot be guaranteed to be completely unified. The parts derived from the national standard version of each hospital cannot be guaranteed to be consistent

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