Hospital follow-up visit method and device based on multi-source data and terminal equipment

A multi-source data and data technology, applied in the field of artificial intelligence, can solve problems such as the unusability of large amounts of data, the reduction of data value, and the inability to obtain effective data in a timely manner.

Active Publication Date: 2022-06-03
SUN YAT SEN UNIV CANCER CENT
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are many problems in obtaining the survival status of patients, such as: low follow-up rate, little follow-up information, and poor quality; data is not shared, repeated follow-up between research groups, serious waste of personnel; patients are frequently disturbed, poor experience, A vicious circle that causes patients to be less willing to receive follow-up; insufficient follow-up makes a large amount of data unusable and reduces the value of data; researchers cannot obtain effective data in a timely manner, making it difficult to carry out scientific research
At present, there are some intelligent applications in the field of follow-up, such as robot intelligent follow-up, etc., but they are all limited by the traditional follow-up framework, and cannot achieve the purpose of obtaining follow-up information efficiently, accurately, and labor-saving
[0004] Therefore, there is an urgent need for a medical follow-up strategy to solve the problem of cumbersome and inaccurate follow-up of patients outside the hospital.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hospital follow-up visit method and device based on multi-source data and terminal equipment
  • Hospital follow-up visit method and device based on multi-source data and terminal equipment
  • Hospital follow-up visit method and device based on multi-source data and terminal equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] see figure 1 , figure 1 is a schematic flowchart of a method X provided by an embodiment of the present invention, such as figure 1 As shown, this embodiment includes steps 101 to 103, and each step is as follows:

[0045] Step 101: Obtain the first information input by the user, and generate the patient's life status data outside the hospital according to the internal data of the hospital and the external data of the hospital; wherein, the first information includes the identity information of all patients; the external data of the hospital includes: epidemic investigation data , medical insurance data and provincial death population information data; and the life state data includes: first state data and second state data.

[0046] In this embodiment, step 101 is specifically: according to the patient's ID number input by the staff, compare and query the pre-stored hospital internal data and hospital external data, and the hospital internal data and hospital externa...

Embodiment 2

[0059] see figure 2 , figure 2 It is a schematic structural diagram of a hospital follow-up device based on multi-source data provided by an embodiment of the present invention, including: a first screening module 201, a second screening module 202, and an output module 203;

[0060] The first screening module 201 is used to obtain the first information input by the user, and generate the patient's life status data outside the hospital according to the hospital internal data and the hospital external data; wherein, the first information includes the identity information of all patients; the The external data of the hospital includes: epidemic investigation data, medical insurance data and provincial death population information data; and the life state data includes: first state data and second state data;

[0061] The second screening module 202 is configured to screen out the patients corresponding to the second status data according to the vital status data, and obtain t...

Embodiment 3

[0079] see Figure 4 , Figure 4 It is a schematic structural diagram of a terminal device provided by an embodiment of the present invention.

[0080] A terminal device of this embodiment includes: a processor 401 , a memory 402 , and a computer program stored in the memory 402 and executable on the processor 401 . When the processor 401 executes the computer program, it implements the steps of the above-mentioned multi-source data-based hospital follow-up methods in the embodiments, for example, figure 1 All steps shown for a multi-source data-based approach to hospital follow-up. Alternatively, when the processor executes the computer program, the functions of each module in the foregoing device embodiments are implemented, for example: figure 2 All modules of the multi-source data-based hospital follow-up device shown.

[0081] In addition, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hospital follow-up visit method and device based on multi-source data and terminal equipment, and aims to perform life state analysis and judgment on internal and external data of a hospital and obtain follow-up visit data according to the data obtained through judgment, so that human intervention is avoided, life states of a large number of patients can be automatically judged, and the follow-up visit efficiency is improved. The consumption of manpower in manual follow-up visit is greatly reduced, the follow-up visit efficiency is improved, and the output of follow-up visit results is greatly accelerated. Compared with the prior art, by integrating medical data from multiple sources for automatic analysis, the precision and accuracy of follow-up visit data can be improved, scientific researchers can conduct effective research according to the obtained data, the medical level is further improved, meanwhile, direct contact with patients can be reduced, and the patient experience is improved. Therefore, the situation that the patient is disturbed due to follow-up visit is reduced, and the experience feeling of the patient is greatly improved.

Description

technical field [0001] The invention relates to the field of artificial intelligence, and in particular to a method, device and terminal equipment for hospital follow-up based on multi-source data. Background technique [0002] In the existing medical services, after the patients complete the diagnosis and treatment, the patients are often followed up, so as to obtain the level of medical services and carry out scientific research. By understanding the survival situation and survival period of patients, it can provide some positive feedback for the medical methods adopted by doctors in the process of treating patients, so as to conduct relevant scientific research to improve the medical methods. [0003] In order to understand the survival of patients outside the hospital, medical staff mostly communicate with patients or relatives through phone calls, text messages, WeChat and other methods to obtain relevant information. However, there are many problems in obtaining the s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H10/60G16H50/30G16H20/60G16H80/00G06Q50/22
CPCG16H50/70G16H10/60G16H50/30G16H20/60G16H80/00G06Q50/22Y02A90/10
Inventor 李超峰冯晨阳何仲廉何荣孙颖
Owner SUN YAT SEN UNIV CANCER CENT
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap