Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Wound and skin pressure injury auxiliary diagnosis system based on artificial intelligence technology

A technology of artificial intelligence and technology, applied in the physical field, can solve the problems of identifying and diagnosing pressure sores in stages, unmeasurable depth, difficult manual judgment and measurement, etc., to reduce the increase in diagnosis and treatment costs, make accurate and scientific nursing decisions, and improve the correct diagnosis sexual effect

Pending Publication Date: 2020-11-10
RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are potential safety hazards in the existing perioperative wound care and assessment methods such as telephone follow-up, postoperative return to the hospital for reexamination, etc.
[0004] 2. There are deficiencies in the existing pressure injury assessment and diagnosis methods
However, in the actual operation process, pressure injury wounds are usually irregular in shape and unmeasurable in depth, and it is difficult to accurately judge and measure manually. Different medical staff have different abilities to identify stages and give different understandings of nursing measures
Studies have found that clinical nurses' judgment accuracy for stage III and non-staging is 87.66% and 87.45%, respectively, which lack accuracy and standardization; lack of knowledge leads to nurses' identification and diagnosis of pressure ulcer staging errors, resulting in excessive prevention and improper prevention It mainly affects the accuracy of pressure ulcer risk assessment and the effectiveness of nursing measures
It can be seen that it is very difficult to simply observe and record with the naked eye. The method of measuring the area by cutting the film along the edge of the wound and weighing it is very cumbersome, and the human error is relatively large. There is also a lack of unified quantitative standards for evaluation records. question
[0006] 3. The problem of aging is serious, which aggravates the problems of wound stoma and pressure injury, which aggravates the pressure of elderly care

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
  • Wound and skin pressure injury auxiliary diagnosis system based on artificial intelligence technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Such as figure 1 As shown, a wound and skin pressure injury auxiliary diagnosis system based on artificial intelligence technology of the present invention includes: hospital pressure sore data system 1, pressure sore diagnosis system 2, equipment information system 3, user information system 4 and historical pressure sores Data system 5, the hospital pressure sore data system 1 is connected in communication with the pressure sore diagnosis system 2, the pressure sore diagnosis system 2 is connected in communication with the equipment information system 3, and the hospital pressure sore diagnosis system 2 is connected in communication. The data system 1 is also communicatively connected with the historical pressure sore data system 5 and the user information system 4 respectively, and the user information system 4 is communicatively connected with the historical pressure sore data system 5 .

[0020] Further, the hospital pressure sore data system 1 includes a pressure ...

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

A wound and skin pressure injury auxiliary diagnosis system based on an artificial intelligence technology comprises a hospital pressure sore data system, a pressure sore diagnosis system, an equipment information system, a user information system and a historical pressure sore data system, and the hospital pressure sore data system is in communication connection with the pressure sore diagnosis system. The pressure sore diagnosis system is in communication connection with the equipment information system, the hospital pressure sore data system is further in communication connection with the historical pressure sore data system and the user information system, and the user information system is in communication connection with the historical pressure sore data system. According to the invention, wounds of wounds and skin pressure injury patients can be quickly and timely identified and diagnosed as soon as possible, nursing decisions are accurately and scientifically made, the whole process is monitored and recorded, the diagnosis correctness and scientificity are improved, the standardization of clinical nursing behaviors is improved, and finally the effects of improving the nursing quality and improving the outcome of patients are achieved.

Description

technical field [0001] The present invention relates to the field of physics, in particular to image processing technology, in particular to an auxiliary diagnosis system for wounds and skin pressure injuries based on artificial intelligence technology. Background technique [0002] 1. There are potential safety hazards in the existing perioperative wound care and assessment [0003] With the development of health care and the improvement of medical technology, the range of patients undergoing surgery has been continuously expanded, and the restrictions on the age of patients undergoing surgery are gradually being relaxed. For the complex and unpredictable stress response and complications that may occur after surgery, perioperative care is particularly important. In particular, relevant studies have shown that nearly 20% to 50% of surgical patients are elderly patients among the existing inpatients, and due to the unique physical and psychological characteristics of the el...

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
IPC IPC(8): G16H40/60G16H50/20G16H50/50G16H50/70G16H70/60
CPCG16H40/60G16H50/20G16H50/50G16H50/70G16H70/60
Inventor 栾伟李劲朱珠蒋燕勤
Owner RENJI HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIV SCHOOL OF MEDICINE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products