Clinical decision-making system and method based on cognitive task analysis, medium and terminal

A technology for clinical decision-making and task analysis, applied in electronic clinical trials, medical data mining, patient-specific data, etc., and can solve problems such as difficult thinking patterns

Pending Publication Date: 2022-05-20
河北省人民医院 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the integrity and coherence of thinking, it seems ver

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
  • Clinical decision-making system and method based on cognitive task analysis, medium and terminal
  • Clinical decision-making system and method based on cognitive task analysis, medium and terminal
  • Clinical decision-making system and method based on cognitive task analysis, medium and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] The clinical decision-making method based on cognitive task analysis provided by the embodiments of the present invention includes:

[0070] Step 1. Use the input device to obtain relevant information, examination data, vital sign data, and other data of the user; body temperature, pulse, respiration, blood pressure, blood oxygen, consciousness, skin and mucous membranes, urine output, pain, spirit, and pupils, based on the obtained Information and data to judge the criticality of patients; for critical diseases that may be life-threatening, adopt safe, appropriate, and cheap laboratory tests and bedside examinations first, understand the pathophysiological changes of patients in advance, diagnose in advance, and clarify the direction of the cause of the disease earlier. Thereby preempting treatment and achieving the purpose of preemptively saving lives. Non-critically ill patients do not emphasize the urgency of time, but "layered titration" diagnosis;

[0071] Step 2. B

Embodiment 2

[0076] The steps in decision-making systems thinking are shown in Table 2.

[0077] Table 2

[0078]

[0079] The present invention shortens the diagnosis time, reduces the misdiagnosis rate, and forms an emergency homogeneous diagnosis and treatment process. The paper Observation of the Effectiveness of a Diagnostic Model for Acute Abdominal Pain Based on the Etiology Checklist and Process Thinking. Risk Manag HealthcPolicy. 2021 Feb 26; 14: 835-845. Impact factor 3.2. Apply the method provided by the invention to reflect on a misdiagnosed case published in New England Journal (Led Astray.New England Journal of Medicine.2020; 383.578-583.DOI:10.1056 / NEJMcps1900799.), get the correct result quickly, and publish the paper Reflectionson the article "Led Astray": Thinking checklist to improve the diagnostic process of abdominal pain[J]. Asian Journal of Surgery, 2021. Impact factor 2.767.

[0080] The method provided by the invention is used for teaching, and young doctors gr

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 belongs to the technical field of intelligent decision-making, and discloses a clinical decision-making system and method based on cognitive task analysis, a medium and a terminal.The clinical decision-making system and method based on cognitive task analysis are characterized in that a data acquisition module acquires related information, examination data, vital sign data and other data of a user through input equipment; the degree judgment module performs degree judgment based on the acquired information and data; the true and false judgment module carries out true and false judgment based on the acquired information and carries out classification based on a true and false judgment result; the reason analysis module performs reason analysis based on a classification result established by the expert thinking model, and determines contained reason categories; the category matching module carries out matching on the basis of the reason category and related data stored in a database, and outputs a preliminary matching result; and the comprehensive analysis module performs comprehensive analysis in combination with the obtained information and classification and judgment results, judges whether other omissions exist or not, and obtains a comprehensive analysis result. According to the invention, a comprehensive and accurate decision scheme based on objective data can be provided.

Description

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

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
Owner 河北省人民医院
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