Diagnosis related grouping method and system based on coding intelligent adaptation

Abstract

The invention provides a diagnosis related grouping method and system based on coding intelligent adaptation. The method comprises the following steps: (1) pretreating the case data, and separately extracting the diagnosis information and operation information of the case; (2) establishing a dynamically expanded keyword library, and intelligently matching the diagnosis information and the operation information of the case to obtain a diagnosis adapting code and an operation adapting code; (3) inputting the diagnosis adapting code as the primary or secondary diagnosis code of the case and the operation adapting code into a case grouping system; and (4) grouping the diagnosis adapting code and the operation adapting code, and outputting a diagnosis related grouping result of the case. According to the invention, the problem that the diagnosis related grouping scheme is hard to implement in medically underdeveloped areas is solved fundamentally, upper and lower layers of DRGs grouping results can be obtained according to local medical cost data, and the results better fit the local actual conditions of medical treatment while the comparability and flexibility are both realized.

Description

technical field [0001] The present invention relates to the technical field of medical information management, in particular to a diagnosis-related grouping method and system based on coding intelligent adaptation. Background technique [0002] Diagnosis Related Groups (DRGs) is one of many "case grouping methods" and has the greatest influence in the field of hospital information management. It was born in the United States in the late 1960s. It was first applied to the payment reform of American pension insurance in the 1980s, and has since been used in Europe, Australia and parts of Asia. China began to pay attention to DRGs in the late 1980s. With the advancement of a new round of health system reform, areas with better medical information technology in China (such as Beijing) began to apply DRGs to the actual work of medical management (CN-DRGs) . Its main feature is to classify inpatients with the same clinical characteristics, same length of hospital stay, and simi...

AI Technical Summary

Problems solved by technology

Due to the large gap between local medical record management and Beijing medical record management, the heterogeneity of medical information data is very prominent

In addition, whether the diagnosis-related grouping based on the medical costs of major hospitals in Beijing takes into account the actual situation in other regions of my country is still highly controversial

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