Big data-oriented potential adverse drug reaction data mining system and method

A technology of adverse reactions and data mining, which is applied in the fields of medical data mining, drug reference, patient-specific data, etc., can solve problems such as inability to perform effective analysis, inability to analyze drugs, and large amount of calculation, so as to facilitate understanding and analysis, increase The effect of large sample accuracy and large amount of calculation

Pending Publication Date: 2021-01-29
WENZHOU PEOPLES HOSPITAL
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this mining method has a large amount of calculation, and the samples are complicated, so it cannot be analyzed effectively, and it cannot be analyzed for a specific drug.

Method used

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  • Big data-oriented potential adverse drug reaction data mining system and method

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Effect test

Embodiment 1

[0043] refer to figure 1 , the present invention is a big data-oriented potential adverse drug reaction data mining system, comprising.

[0044] A plurality of acquisition terminals 10. The collection terminal 10 is set in each hospital and connected with the electronic medical record system in the hospital for data communication. It is used to network the electronic medical record systems of various hospitals and collect electronic medical records.

[0045] Electronic medical record collection module 1. Connect with collection terminal 10. It is used to network the electronic medical record systems of various hospitals. Collect electronic medical records.

[0046] Drug-Specific Data Mining Module2. It is connected with the electronic medical record collection module 1. It is used to mine patients who have taken specific medicines in the electronic medical records collected by the electronic medical record collection module 1 . Get relevant patient information.

[0047]...

Embodiment 2

[0057] The present invention is a big data-oriented potential adverse drug reaction data mining method, comprising the following steps.

[0058] Step S1. The electronic medical record system of each hospital is networked.

[0059] Step S2. Capture patients who have taken specific drugs in the electronic medical record system, establish a list of drug users, and obtain relevant patient information.

[0060] Step S3. According to the list of patients captured in step S2, the adverse event data in the patient's medical record after taking the drug is extracted, and a database of related drugs and adverse reactions after using the drug is established.

[0061] Step S4. Screen related drugs and patient data in the database of adverse reactions after using the drug, and remove some useless patient data.

[0062] Step S5. Classify by feature, classify the patient data screened in step S4 by feature, classify similar adverse reactions together, generate a database table of relat...

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Abstract

The invention discloses a big data-oriented potential adverse drug reaction data mining system and method. The system comprises a plurality of acquisition terminals, an electronic medical record acquisition module, a specific drug data mining module, a cloud terminal adverse event data processing module, a cloud generation module, a main control computer, a human-computer interaction interface anda data switch, the method comprises the following steps: S1, networking electronic medical record systems of hospitals; S2, capturing a patient who takes the specific medicine in the electronic medical record system; S3, establishing a database of related drugs and adverse reactions after the drugs are used; S4, screening data; and S5, performing feature classification. According to the invention, adverse reactions of specific drugs are analyzed by integrating electronic medical records of various hospitals, the data source is wider, various populations exist, and the analysis of reactions ofdrugs relative to various populations is facilitated. Useless data can be eliminated in the analysis process, analysis is facilitated, the data analysis workload is reduced, and the sample accuracy is improved.

Description

【Technical field】 [0001] The invention relates to the technical field of adverse drug reactions, in particular to the technical field of big data-oriented potential adverse drug reaction data mining systems and methods. 【Background technique】 [0002] An adverse drug reaction (ADR) is an unexpected and potentially harmful reaction caused by the normal use of a drug. ADR represents an important public health problem worldwide. Predicting ADR is very valuable and important for safe drug development and precision drug therapy. Although some drugs can obtain some drug-related adverse reactions after multiple related experiments, due to the limitation of experimental samples, it may not be possible to obtain all the adverse reactions of the drug. [0003] In this regard, the Chinese invention patent with the patent number CN104765947B proposes a big data-oriented potential adverse drug reaction data mining method, which includes the following steps: A. Grab the adverse drug eve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H70/40G16H10/60G16H50/70
CPCG16H10/60G16H50/70G16H70/40
Inventor 熊建华杨金招吴煜
Owner WENZHOU PEOPLES HOSPITAL
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