Reasonable medication evaluation decision-making system based on big data

Abstract

The invention discloses a reasonable medication evaluation decision-making system based on big data. The system comprises a medication acquisition module, a medication analysis module, a controller, asignal editing module, a medicine rule processing module, a medicine rule collection module and a display screen. According to the invention, the patient condition, the illness condition and the medication condition of the same department in each hospital are combined and compared in parallel; through patient, illness state and medication data definition, range decision-making layer assignment comparison, weight decision-making formula analysis and point value range cross evaluation processing, medication supervision conditions corresponding to departments are divided in a targeted mode. Transverse and longitudinal formula combination comparison and feedback are carried out on the medication retention amount, the medication input amount and the medication output amount of a department ofthe hospital, and the reasonability of medicine use and the continuity of dose operation are guaranteed through a department medication parallel measurement mode and all-around hierarchical data processing.

Description

technical field [0001] The invention relates to the technical field of rational drug use evaluation and decision-making system, in particular to a rational drug use evaluation and decision-making system based on big data. Background technique [0002] Rational drug use is a kind of treatment guidance plan for safe, effective, economical and appropriate use of drugs based on medical theory; rational drug use emphasizes not only the effectiveness of drugs, but also the economic affordability of patients. the elements of. [0003] Most of the existing rational drug use evaluation and decision-making systems only perform data monitoring and threshold alarms on the dosage of drugs, and cannot comprehensively analyze and judge the use and operation status of drugs comprehensively. Parallel combination comparison of patient status, condition status and medication status in each same department, defined by patient, condition and medication data, range decision-making layer assignme...

AI Technical Summary

Problems solved by technology

[0007] How to solve the existing rational drug use evaluation and decision-making system based on an effective method, most of which only monitor the data of drug dosage and threshold alarms, and cannot comprehensively analyze the use and operation status of drugs Moreover, it is difficult to combine and compare the patient status, condition status and medication status of each same department in each hospital in parallel. After the definition of patient, condition and medication data, the scale decision-making layer assigns and compares, and the weight decision-making Formula analysis and point value range cross-judgment processing, to make a targeted division of the drug supervision status corresponding to the department, and make a horizontal and vertical formula for the hospital's department's drug inventory, drug input, and drug output Combining comparison and feedback to ensure the rationality of drug use and the continuity of drug dosage operation through the parallel measurement of departmental drug use and all-round hierarchical data processing

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