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A multi-prescription pharmacist dispensing method

A dispensing method and technology for pharmacists, applied in the field of multi-prescription pharmacist dispensing, to achieve the effects of reducing cost, optimizing quality and efficiency, and improving practicability and practical value

Active Publication Date: 2021-01-08
ZHEJIANG SHUREN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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  • A multi-prescription pharmacist dispensing method
  • A multi-prescription pharmacist dispensing method
  • A multi-prescription pharmacist dispensing method

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Embodiment 1

[0029] The multi-prescription pharmacist distribution method of the present invention is mainly divided into two stages, the model training stage and the model application stage, the main process is as follows figure 1 Shown:

[0030] In the model training phase, in order to build a model for automatically distributing traditional Chinese medicine pharmacists, we first need to manually extract some features from the raw data of prescriptions and pharmacists. The extracted features need to be able to represent the relationship between each prescription and each pharmacist . Specifically, the following categories are included:

[0031] a) For each pharmacist, there are some characteristics as follows: pharmacist's experience, pharmacist's status.

[0032] b) For each prescription, there are some characteristics as follows: the type of prescription, which medicines are included in the prescription and the dosage of each medicine.

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Abstract

The invention discloses a multi-prescription pharmacist distributing method which comprises the following steps of (1), acquiring data of the prescription and the pharmacists; (2), performing characteristic extraction on the obtained data; (3), based on the extracted characteristic in the step (2), constructing a characteristic matrix; (4), turning the constructed characteristic matrix in the step(3) to a data format, and inputting into an LambdaMART model for training; and (5), after performing characteristic extraction on a new prescription, inputting the new prescription into the trained LambdaMART model, obtaining the score of each pharmacist, wherein the pharmacist with highest score is the pharmacist which is most suitable for the prescription. According to the multi-prescription pharmacist distributing method, a learning-to-rank algorithm is firstly introduced into a traditional Chinese medicine pharmacist distributing problem. Through the learning-to-rank algorithm, an effectof automatically distributing a most appropriate pharmacist can be realized. The multi-prescription pharmacist distributing method has advantages of reducing manpower distribution cost, and optimizingquality and efficiency of steps such as medicine filling, weighing and packaging of the prescription.

Description

technical field [0001] The invention relates to the technical field of intelligentization of traditional Chinese medicine, in particular to a multi-prescription pharmacist distribution method. Background technique [0002] Medical and health care is a major livelihood issue related to the healthy life of tens of millions of people, and it is also a basic element for maintaining social stability and development. The development of traditional Chinese medicine has a long history of thousands of years. It has the characteristics of good curative effect, less side effects, and less environmental pollution. It especially plays an important role in preventive health care and disease rehabilitation. [0003] At present, the demand for traditional Chinese medicine is increasing, and there are thousands of types of traditional Chinese medicine, and the requirements for pharmacists are also getting higher and higher. At present, in most Chinese pharmacies, Chinese medicine prescripti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H40/20
Inventor 吕何新戴国勇杨昕立邱宁石声波虞飞华
Owner ZHEJIANG SHUREN UNIV