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Clinical medication decision support system

A decision support system and drug technology, applied in the field of medical devices, can solve the problem that the formulation and optimization of dosing plans do not play their due role, and achieve the effect of improving the level of clinical drug decision-making and having a targeted effect.

Inactive Publication Date: 2018-03-27
THE AFFILIATED HOSPITAL OF QINGDAO UNIV
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The functions of the traditional medication decision support system mainly focus on standardizing the physician's prescription behavior, correcting the physician's wrong doctor's order, and avoiding medication errors.

Method used

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  • Clinical medication decision support system

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Embodiment Construction

[0031] The present invention provides a clinical medication decision support system, which includes the following five main modules:

[0032]The basic biological information preprocessing module of the patient is used for the collection and preprocessing of the basic information of the patient that needs to be adjusted by the decision-making system. , part of the data can be obtained through the docking of the hospital information system, and the rest of the data that cannot be obtained through the information system can be obtained manually. This module processes and organizes the obtained data to meet the system requirements, and at the same time classifies the patients entering the system , select the appropriate calculation module and formula;

[0033] The routine drug regimen module is used to formulate and adjust the drug regimen for general patients. The system calculates the basic treatment plan based on the patient's height, weight, body surface area, age, liver and k...

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Abstract

The invention provides a clinical medication decision support system, and the system comprises a patient basic information preprocessing module which is used for collecting and preprocessing the biological basic information of a patient who needs to adjust a medication scheme through a decision system; a routine dosage regimen module which is used for formulating and adjusting a common patient dosage regimen; a formula calculation module which is used for formulating and adjusting a medicine and group dosage regimen meeting a formula calculation condition; a model prediction module which is used for setting an initial scheme of a special patient and predicting the treatment effect or blood concentration; and an artificial intelligence module which is an advanced function and is used for the prediction of the overall treatment scheme of an individual concerned patient. The levels of the above function modules are set from the bottom to the top, the complexity of the above function modules is also gradually improved and the requirements for the parameters of the above function modules are also increased gradually. For most of patients, the modules at the low level can achieve the expected treatment effect. For the patients who have the complex diseases and need to be attended specially, the advanced modules are needed for support.

Description

technical field [0001] The invention belongs to the technical field of medical devices, and in particular relates to a clinical medication decision support system. Background technique [0002] With the development of the times, the explosion of knowledge has posed severe challenges to medical work. Physicians are increasingly finding it difficult to keep up with the rapid pace of medical development. Although clinical division helps to alleviate this contradiction, it is by no means a fundamental solution. Because even the update and growth of knowledge in a very professional medical field is beyond the learning and mastery of doctors, and a large amount of information and data make doctors at a loss. With the help of the huge storage capacity and processing power of the computer, it is possible to change this situation, so the clinical drug decision support system came into being. The diversity of drugs and the different pathological characteristics of patients complica...

Claims

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Application Information

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IPC IPC(8): G16H20/10G16H50/20
Inventor 荆凡波徐文李祥鹏孙加琳全香花曲海军
Owner THE AFFILIATED HOSPITAL OF QINGDAO UNIV
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