Intelligent case follow-up visit system based on deep learning

A deep learning and case technology, applied in the field of intelligent case follow-up system, can solve problems such as omissions, information lag, and low follow-up efficiency, so as to avoid omissions, improve certainty, and improve follow-up efficiency.

Pending Publication Date: 2021-12-10
GUANGDONG ARTIFICIAL INTELLIGENCE & DIGITAL ECONOMY LAB (GUANGZHOU)
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, with the large increase in the number of patients, the number of hospital staff is limited, and the workload of collecting, organizing and analyzing patient data and manual filing is huge, and there is bound to be a large lag in information, coupled with the randomness of follow-up manual services, Lack of clear time planning, prone to omissions, failure to follow up patients regularly, resulting in low follow-up efficiency

Method used

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  • Intelligent case follow-up visit system based on deep learning
  • Intelligent case follow-up visit system based on deep learning

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Embodiment Construction

[0024] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] Such as figure 1 In an embodiment shown, the present invention provides an intelligent case follow-up system based on deep learning, including a doctor management terminal 110, a computer device 120 and a communication device 130;

[0026] Doctor management terminal 110, used to enter and manage patient information data;

[0027] The computer device 120 is used to provide hardware equipment for running the doctor management terminal 110;

[0028] The communication device 130 is used for data transmission between the doctor manag...

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Abstract

The invention provides an intelligent case follow-up visit system based on deep learning. The intelligent case follow-up visit system comprises a doctor management terminal, a computer device and a communication device, wherein the doctor management terminal is used for inputting and managing information data of the patient; the computer device is used for providing hardware equipment for operating the doctor management terminal; and the communication device is responsible for data transmission between the doctor management terminal and the computer device. According to the invention, the determinacy of follow-up visit manual service is improved, the follow-up visit time planning is defined, omissions are avoided, follow-up visit is carried out on patients in time, and the follow-up visit efficiency is improved.

Description

technical field [0001] The invention relates to the field of visits, in particular to an intelligent case follow-up system based on deep learning. Background technique [0002] With the development and application of computer technology, the automatic construction of hospital information management system, especially the case follow-up system, is a necessary means to improve the medical environment and improve the medical level. The case follow-up system can conduct orderly follow-up visits to patients after the hospital, continuously record the changes in the patient's condition, collect and analyze the case data before and after the patient's diagnosis, and follow-up data, so that doctors can retrospectively treat patients more accurately. diagnosis and treatment. [0003] However, with the large increase in the number of patients, the number of hospital staff is limited, and the workload of collecting, sorting, analyzing and manually filing patient data is huge, and ther...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H80/00G16H10/60G16H30/20G16H50/30G16H50/20G06T7/00G06N3/08
CPCG16H80/00G16H10/60G16H30/20G16H50/20G16H50/30G06T7/0012G06N3/08G06T2207/10081G06T2207/10088G06T2207/20081G06T2207/20084
Inventor 曾栋谌高峰王子丹
Owner GUANGDONG ARTIFICIAL INTELLIGENCE & DIGITAL ECONOMY LAB (GUANGZHOU)
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