Measurement and calculation system and method for remaining medicine in centralized purchase

Abstract

The invention discloses a system and a method for measuring and calculating the remaining amount of medicine in centralized purchase. The method comprises the following steps: S1, acquiring basic business data of a medical institution; s2, according to the basic business data, obtaining a medicine weighted average price before collection; s3, establishing a remaining data calculation model, and obtaining a medical insurance remaining amount; and S4, according to the medical insurance remaining amount, obtaining the final medical insurance remaining amount. According to a computer system, the final medical insurance remaining amount is obtained through computer operation according to the weighted average prices of various drugs before collection and collection, the remaining amount utilization data calculation model is established, the working efficiency is greatly improved, the obtained final medical insurance remaining amount is high in reliability and credibility, and the method is suitable for popularization and application. The requirements of different users such as medical institutions and overall planning areas can be met, fair medical institutions and medical staff can be stimulated to preferentially use collected products, and smooth implementation of centralized procurement of national medical insurance drugs is promoted.

Description

technical field [0001] The invention relates to the technical field of medical big data, and in particular, to a system and method for measuring and calculating the balance of centralized drug procurement. Background technique [0002] Carrying out the centralized procurement of high-value medical consumables and medicines is an important measure to further deepen the reform of the medical and health system. Since the centralized procurement of medical consumables and drugs was launched, the prices of centralized procurement products have dropped significantly, which has effectively reduced the medical burden on patients and improved the efficiency of the use of medical insurance funds. Using part of the saved funds to motivate public medical institutions is a necessary means to guide medical institutions and medical personnel to use centralized procurement products in priority. Improve medical insurance settlement, standardize the medical insurance settlement process, and ...

AI Technical Summary

Problems solved by technology

Due to the huge amount of computing data, the standardization of basic data is extremely low, resulting in low work efficiency

Because there are multiple algorithms for multiple data elements, the data results will vary greatly, and it is impossible to provide users with a reasonable display, resulting in low reliability and credibility of the results, which cannot meet the needs of different users.

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