Calculation method for calculating medicine patent subsidy scheme

Abstract

The invention provides a calculation method for calculating a medicine patent subsidy scheme. The method comprises the following steps: collecting data which comprises patient data and market data; establishing a causal relationship between a pool entry subsidy coefficient, a permission rate and enterprise research and development investment after the government and the enterprise are added into the drug patent pool and the first drug, imitation drug enterprise profits and government drug purchase expenditure amount; S3, performing function design on related parameter variables based on the causal relationship established in the step S2; and S4, according to the established causal relationship and the parameter variables involved in the step S3, establishing a system dynamics stock flow model through vensim, and operating and analyzing changes of enterprise profits and government public health expenditures under the conditions of different drug prices, permission rates and subsidy amounts. According to the invention, enterprise pool-entering subsidy can be automatically adjusted according to parameters such as drug price, enterprise research and development investment, enterprise market occupation scale and the like, the labor investment during policy making is greatly reduced, and the labor cost is saved.

Description

technical field [0001] The invention belongs to the technical field of computer technology or patent alliance operation management, and in particular relates to a calculation method for calculating a drug patent subsidy scheme. Background technique [0002] In the existing technology, the organizers of the patent pool (patent alliance) usually realize the subsidy, drug pricing or price adjustment of each participant based on manual analysis methods, manually analyze the share data of each enterprise, historical chain data, etc., and make decisions based on the analysis results. Subsidy decision-making or assistance in the formulation of drug patent pool entry rules. However, this method requires continuous investment of professional manpower, which has high labor costs, and is mainly based on the subjective experience of experts on historical statistical data. There is no standard and reliable judgment plan and a procedural process, which makes the analysis results more subj...

AI Technical Summary

Problems solved by technology

However, this method requires continuous investment of professional manpower, which has high labor costs, and is mainly based on the subjective experience of experts on historical statistical data. There is no standard and reliable judgment plan and a procedural process, which makes the analysis results more subjective. The result data among different experts is easy to fluctuate, and ultimately cannot achieve a better effect of increasing the participation rate of the drug patent alliance

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