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Medication scheme generation system and method

A technology of medication plan and generation system, applied in the field of big data, can solve the ethical challenges of pediatric patients, obtain children and other problems, and achieve the effects of ensuring safety and effectiveness, reducing the number, and improving the sense of experience

Pending Publication Date: 2022-01-11
联仁健康医疗大数据科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] At present, the phenomenon of off-label drug use is common in the pediatric population around the world. The main reason is that there are many difficulties including ethical challenges in conducting clinical trials for pediatric patients, and it is difficult to obtain research data on children through large-scale confirmatory clinical trials to support its use. Safety and efficacy in each specific age group

Method used

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  • Medication scheme generation system and method
  • Medication scheme generation system and method

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Experimental program
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Effect test

Embodiment 1

[0028] figure 1 A schematic structural diagram of a system for generating a medication regimen provided in Embodiment 1 of the present invention, as shown in figure 1 As shown, the medication regimen generation system provided by this embodiment includes a front-end interaction module 11 and a background processing module 12; wherein, the front-end interaction module 11 is used to display the medication regimen generation interface, and obtain the user's information on the medication regimen generation interface. The model selection operation, manual selection operation and dose setting operation are executed, and the model selection operation, the manual selection operation and the dose setting operation are sent to the background processing module 12; the background processing module 12, It is used to determine the pharmacokinetic and pharmacokinetic model to be transferred to the pharmacokinetic model library selected by the user based on the model selection operation, and ...

Embodiment 2

[0041] Figure 2A It is a schematic structural diagram of a system for generating a medication regimen provided by Embodiment 2 of the present invention. On the basis of the above embodiments, in this embodiment, optionally, the background processing module includes a model processing unit and a medication regimen determination unit; wherein, The model processing unit is configured to determine, based on the model selection operation, the pharmacokinetic model to be converted corresponding to the first group selected by the user in the pharmacokinetic model library, and according to the pharmacokinetic model to be converted The model and the characteristic data of the second population determine the target pharmacokinetic pharmacokinetic model corresponding to the second population, and determine the individual pharmacokinetic pharmacokinetic model corresponding to the target medication individual based on the target pharmacokinetic model and the individual data of the target m...

Embodiment 3

[0068] image 3 It is a schematic flowchart of a method for generating a medication regimen provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation where the optimal medication regimen is automatically generated according to the user's model selection operation, instruction manual selection operation, and dose setting operation. The method can be applied to a drug regimen generation system, and the method specifically includes the following steps:.

[0069] S310, displaying the medication regimen generation interface, and acquiring the model selection operation, instruction manual selection operation and dose setting operation performed by the user on the medication regimen generation interface.

[0070] S320. Based on the model selection operation, determine the pharmacokinetic and pharmacokinetic model to be transferred to the pharmacokinetic model library selected by the user, and determine the target drug instruction sheet selected...

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Abstract

The embodiment of the invention discloses a medication scheme generation system and method. The system comprises a front-end interaction module and a background processing module, through the front-end interaction module, a model selection operation, a specification selection operation and a dose setting operation executed by a user on a displayed medication scheme generation interface are obtained, through the background processing module, a to-be-transferred pharmacokinetic model selected by the user in the pharmacokinetic model library, a target drug specification selected by the user in the drug specification library and dose range information are determined respectively, a target medication scheme is generated based on the to-be-transferred pharmacokinetic model, the target drug specification and the dose range information and fed back to the front-end interaction module, therefore, the front-end interaction module displays the target medication scheme on the medication scheme generation interface, the medication information of other people is determined by using the existing data, the medication test on other people is avoided, and the efficiency of generating the medication scheme is improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of big data technology, and in particular to a system and method for generating a medication plan. Background technique [0002] At present, the phenomenon of off-label drug use is common in the pediatric population around the world. The main reason is that there are many difficulties including ethical challenges in conducting clinical trials for pediatric patients, and it is difficult to obtain research data on children through large-scale confirmatory clinical trials to support its use. Safety and efficacy in each specific age group. Therefore, maximizing the use of existing data, reducing the number of subjects in pediatric drug clinical trials as much as possible, and improving and enriching medication information for pediatric populations through data extrapolation to guide clinical medication are the most effective ways to improve the safety and effectiveness of drug use in children. o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H70/40G16H80/00
CPCG16H70/40G16H80/00
Inventor 杨铭刘寒
Owner 联仁健康医疗大数据科技股份有限公司
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