Big data intelligent management method and system based on DRGs

Abstract

The invention discloses a big data intelligent management method and system based on DRGs. The method comprises the following steps: putting hospitalization medical record home page data of annual hospitalization cases of a hospital in a certain region into a DRG grouping device; grouping according to a DRG grouping principle (according to disease diagnosis, surgical operation, complications / complications, ages, severity degrees and the like) to obtain n DRG groups, the weight number and the case number of each DRG group, corresponding hospitalization days and cost distribution; calculating the total weight number of the hospitalized cases of the hospital; calculating a case combination index (CMI) value, wherein the CMI value is equal to the total weight number of the hospital / the total number of hospitalized cases of the hospital; calculating the relative weight RWi of the ith DRG group and analyzing the proportion of the cased with the relative weight RWi larger than 2 in the hospital to all cases in the hospital, wherein the average cost of the cases in the DRGi group represents the average cost of the ith DRG group.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to a DRGs-based big data intelligent management method and system. Background technique [0002] In recent years, with the development of society and economy, my country's medical and health services have entered a stage of rapid development, and medical expenses have risen rapidly. At the same time, there are certain unreasonable factors in the structure and growth of medical expenses, including that the expenses of urban public hospitals account for a relatively large proportion of the total medical expenses, the volume of medical services, especially inpatient services, has grown rapidly, and the inspection of drugs and large medical equipment and medical consumables accounted for a relatively high proportion of revenue. In this context, a variety of compound payment methods with DRG collection and payment as the core, comprehensively integrate medical insurance, hospita...

AI Technical Summary

Problems solved by technology

At the same time, there are certain unreasonable factors in the structure and growth of medical expenses, including that the expenses of urban public hospitals account for a relatively large proportion of the total medical expenses, the volume of medical services, especially inpatient services, has grown rapidly, and the inspection of drugs and large medical equipment and medical consumables account for a relatively high proportion of revenue, etc.

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