Method for establishing disease risk adjustment model

Abstract

The invention discloses a disease risk regulation model establishment method. According to the method, for historical data of patients in a hospital or all hospitals in a region, accompanying complications of the patients during hospitalization, population characteristics of patient individuals, hospitalization state sources and the like are integrated into affecting variable factors of disease treatment, and statistic models are established according to the DRG type of a disease diagnosis related group and final treatment information of the patients respectively for performing numerical prediction and analysis on the death rate, the hospitalization period and the hospitalization medical cost of the hospital patients. According to a risk regulation model, the complications and other hospitalization information variables of the patients during hospitalization are innovatively utilized, a check and regression method in classical statistics is adopted, and modeling is carried out in combination with an LASSO method, so that over-fitting caused by too many variables is avoided, the death rate, the hospitalization period and the hospitalization cost of the patients are quantitatively predicted, and new means and way are created for medical analysis and hospital management.

Description

technical field [0001] The present invention relates to a method for establishing a disease risk adjustment model. Background technique [0002] In recent years, due to the rapid development of domestic hospital IT technology, the accumulation of original data on patients and diseases has been preliminarily completed. However, due to the lack of methodology, these data cannot be effectively refined into guiding information and decision-making basis for hospital management, resulting in absolutely no method. Most of the data can only be stored in the hospital's data warehouse, wasting resources. If we can fully learn from the successful model and excellent methodology of the US government in hospital management, and then make localized improvements, it will not only allow domestic medical management institutions to increase effective monitoring methods and means, but also promote hospitals to speed up the transformation from extensive to The pace of transformation of the ref...

AI Technical Summary

Problems solved by technology

However, the calculation method based on CMI has its inherent deficiencies in evaluating medical quality, operating efficiency, and rational drug use. First, this model does not take into account the characteristics of the disease itself and other clinically relevant factors, and does not conform to medical laws; Secondly, the inflated cost of treatment itself caused by over-examination and treatment will also increase the instability of the model, resulting in biased judgment results

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