Method for quantifying complexity and difficult degree of case

Abstract

The invention discloses a method for quantifying case complexity and difficult degree, the method for quantifying case complexity and difficult degree adopts relative weight to calculate case complexity and difficult degree based on disease diagnosis related grouping, and the method comprises the following steps: 1, collecting sample data, the medical record data of the cases are input into a DRG grouping device for grouping calculation, and each case enters a DRG group; 2, weight parameters of the cases are obtained and subjected to standardization processing, wherein the weight parameters include the first-level nursing proportion pA, the death rate pB, the average hospitalization day pC and the cost pD, and the weight parameters include the first-level nursing proportion pA, the death rate pB, the average hospitalization day pC and the cost pD; and step 3, calculating weight values RW of case complexity and difficulty degree according to the weight parameters in the step 2. According to the method, parameters are selected from the criticality degree, the complexity degree, occupied human resources and consumed medical resources of the disease, and the performance weight of the disease group is calculated by using weighting, so that the weight value quantification problem which is close to clinic and reflects the complexity and difficulty degree of cases is solved.

Description

technical field [0001] The invention relates to the technical field of medicine, in particular to a method for quantifying case complexity and difficulty. Background technique [0002] The reform of hospital workload performance assessment requires the change from the original assessment based on quantity (number of people) to assessment based on quality (complexity and difficulty of cases). It is necessary to quantify the complexity and difficulty of cases in order to facilitate performance. assessment. The existing technologies all use cost to measure the complexity and degree of difficulty of the case, but the treatment cost of the case is composed of bed fee, examination fee, laboratory test fee, drug fee, consumable material fee, treatment fee, operation fee, nursing fee, etc. , treatment fees, etc. Due to the current situation in the country, the pricing does not fully reflect the technical value of doctors and nurses. For the same case, the cost of medicines and con...

AI Technical Summary

Problems solved by technology

[0008] The existing DRG grouper is applied to the payment of medical insurance expenses, which is different from clinical practice. It mainly considers that patients with the same disease and the same treatment method are divided into the same DRG group. If there is a large difference in expenses within the group, it may be split into Multiple subdivided groups according to the number of days of hospitalization can be applied to medical insurance payment in order to achieve the goal of small cost differences within the DRG group. The application of the DRG grouper, which mainly considers the cost of payment, to the application of performance will itself be inadaptable. It does not conform to the clinical reality; at the same time, the average total cost or sub-item cost weighting method is used as the weight (CW), which only reflects the cost difference. The same disease has the same diagnosis and treatment process, and the drugs and consumables with the same curative effect and different manufacturers are used. There are huge differences, but for clinicians, the severity of the disease, the complexity of treatment, and the consumption of medical resources are all the same. CW cannot fully reflect the severity of the case, the complexity of the diagnosis and treatment process, and the consumption of medical resources

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