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Auxiliary diagnosis and treatment system based on artificial intelligence

A diagnosis and treatment system and artificial intelligence technology, applied in computer-aided medical procedures, medical automated diagnosis, medical data mining, etc., can solve problems such as unavailable medication data, poor curative effect, and repeated use of the same

Pending Publication Date: 2020-08-04
上海洛书医药科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Auxiliary diagnostic systems are usually not set up in small clinics, resulting in the loss of medication data used by patients in small clinics
At the same time, in reality, due to the limited experience of physicians in small clinics, the same prescription may be used repeatedly for the same disease
After multiple treatments, the patient will gradually develop resistance to the drugs in the prescription, making the prescription completely lose its therapeutic effect. Finally, after the patient's condition deteriorates, he will choose to go to a large hospital equipped with an auxiliary diagnosis and treatment system for treatment. The medical staff of the large hospital cannot know the medication data of the patient in the small clinic, which will lead to the poor efficacy of the prescriptions issued by the medical staff of the large hospital.

Method used

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  • Auxiliary diagnosis and treatment system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] Such as figure 1 As shown, the present invention provides an artificial intelligence-based assisted diagnosis and treatment system, which at least includes a patient client 1 , a medical client 2 , a database 3 and a server 4 . The patient client 1 , the healthcare client 2 and the database 3 are all communicatively coupled to the server 4 . Alternatively, the patient client 1 , the medical client 2 , the database 3 and the server 4 are communicatively coupled to each other, so that the patient client 1 , the medical client 2 , the database 3 and the server 4 can transmit data among each other. Patient Client 1 is configured for patient use. Patients can enter their identity data and medical record data through the patient client terminal 1 . Identity data are used to confirm their identity and distinguish them from other patients. Identity data may include data such as name, gender, age, and ID number. Medical record data refers to data that can be used to characte...

Embodiment 2

[0042] This embodiment is a further improvement on Embodiment 1, and repeated content will not be repeated here.

[0043] Preferably, the patient client 1 can also collect recovery data of the patient. Recovery data refers to information that characterizes a patient's treatment. The database 3 may include a fifth storage module 3e, so that recovery data can be stored in the fifth storage module 3e. For example, the recovery data can be the response information of the patient after taking the medicine, the time node information of the weakening of the disease, the time node data of the recovery of the disease, etc. By recovering the data, the server 4 is able to evaluate the patient's therapeutic effect to generate an evaluation result for adjusting the reference treatment data. Evaluation results can be divided into first level and second level. The first level indicates that the curative effect meets the expected requirements. The second level indicates that the curative ...

Embodiment 3

[0051] This embodiment is a further improvement on Embodiment 1 and Embodiment 2, and repeated content will not be repeated here.

[0052] Preferably, the identity data includes at least residence information of the patient. When the patient client 1 transmits the collected patient identity data and medical record data to the server 4, the server 4 also obtains reference treatment data and / or reference diagnosis data in the following manner:

[0053] B1: Based on the residence information of the first patient, acquire at least one second patient whose residence distance from the residence of the first patient is smaller than a set threshold.

[0054] Specifically, the data classification unit 4b of the server 4 can extract the residence information of the first patient and place it in its built-in map. Each patient's place of residence information can be placed on the map in the form of dots. The data classification unit 4b will take the residence of the first patient as the...

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Abstract

The invention relates to an auxiliary diagnosis and treatment system based on artificial intelligence. The system at least comprises: a patient client (1), a database (3), a server (4) and a medical care client (2), wherein the patient client (1) can record the residence place information of a patient; the database (3) can store medication data of a specific patient in a medication-related manner;the server (4) is configured to count the medication data of the specific patient for the same disease type so as to obtain the frequency and / or quantity of the same or similar medicines continuouslyand repeatedly taken by the specific patient within a set time period; and under the condition that the server (4) determines that the frequency and / or the quantity of the same or similar medicines continuously and repeatedly taken by the specific patient are / is greater than a set threshold based on the analysis performed by the analysis module of the server (4), the medical care client (2) and / or the patient client (1) send / sends a prompt.

Description

technical field [0001] The invention belongs to the technical field of medical equipment, in particular to an artificial intelligence-based auxiliary diagnosis and treatment system. Background technique [0002] In my country's economically underdeveloped areas, the medical resources of many hospitals are relatively backward. For example, in Xinjiang, due to the vast territory, it is very difficult to refer patients. The new idea of ​​uneven distribution is also an effective way to solve the bottleneck of medical and health development in Xinjiang, that is, to build a radiation network of medical services covering a wide range of nodes with regional medical centers, so as to improve the medical service level and radiation capacity of regional medical centers. Its important task One is to improve the ability of specialized diagnosis and treatment of common and frequently-occurring diseases. Its core technologies include computer-aided diagnosis and treatment, surgical navigatio...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/70G16H20/13G16H80/00
CPCG16H50/20G16H50/70G16H20/13G16H80/00Y02A90/10
Inventor 张继亮许玲顾锡冬魏慧军焦丽静姚嘉麟周迎春
Owner 上海洛书医药科技有限公司
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