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A method and system for analyzing hidden dangers in clinical nursing safety in neurology department

A safety hazard, neurology technology, applied in the field of neurology clinical nursing safety hazard analysis method and system, which can solve the problems of insufficient analysis results, low efficiency, and unstable manpower analysis.

Active Publication Date: 2022-05-13
THE FIRST PEOPLES HOSPITAL OF NANTONG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The embodiment of the present application provides a method and system for analyzing potential safety hazards in neurology clinical nursing, which solves the technical problems in the prior art that the analysis results are not comprehensive enough and the efficiency is low due to the instability of human analysis. The component analysis obtains the disease information of all patients in the ward, and extracts the corresponding disease characteristics of the patients, and then builds a decision tree based on the disease characteristics, and then classifies the diseases, and obtains the corresponding safety hazard standards for different types of diseases, and finally according to the relevant The hidden danger standard analyzes the patient's condition, uses the intelligent system to improve the speed of analysis and decision-making, and achieves the technical effect of obtaining more efficient and comprehensive safety hidden danger analysis results

Method used

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  • A method and system for analyzing hidden dangers in clinical nursing safety in neurology department
  • A method and system for analyzing hidden dangers in clinical nursing safety in neurology department
  • A method and system for analyzing hidden dangers in clinical nursing safety in neurology department

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Embodiment 1

[0025] Such as figure 1 As shown, the embodiment of the present application provides a method for analyzing potential safety hazards in neurology clinical nursing, wherein the method includes:

[0026] S100: Obtain a set of pathological indicators of the first user;

[0027] Specifically, the first user refers to a patient with a neurological disease in the ward; the pathological index set of the first user refers to a set of pathological indicators that can be characterized by analyzing the first user's disease process and cause of disease. A collection of indicator information of the real-time condition of the disease of the first user. For example, without limitation, the disease of the first user is cerebral hemorrhage. Since the main cause of the cerebral hemorrhage is an acute increase in blood sugar, the pathological index information at this time mainly includes blood sugar content, proteinuria, blood pressure, and electrocardiogram. By storing the pathological indic...

Embodiment 2

[0087] Based on the same inventive concept as that of a neurology department clinical nursing safety hidden danger analysis method in the aforementioned embodiment, as figure 2 As shown, the embodiment of the present application provides a safety hazard analysis system for neurology clinical nursing, wherein the system includes:

[0088] A first obtaining unit 11, the first obtaining unit 11 is configured to obtain the pathological index set of the first user;

[0089] A second obtaining unit 12, the second obtaining unit 12 is configured to obtain the first pathological index and the second pathological index from the pathological index set of the first user according to the principal component analysis method;

[0090] A third obtaining unit 13, the third obtaining unit 13 is configured to input the first pathological index and the second pathological index into the first disease determination model, and obtain the diagnosed disease information of the first user;

[0091] ...

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Abstract

The present invention provides a method and system for analyzing potential safety hazards in neurology clinical nursing. The method includes: obtaining the first pathological index and the second pathological index from the pathological index set of the first user according to the principal component analysis method, and inputting the first pathological index to determine model to obtain the diagnosed disease information of the first user; construct a diagnosed disease data set based on the diagnosed disease information from the first user to the Nth user, obtain the characteristics of the disease's motor ability, mental state, and language ability, and obtain the characteristics of the first root node Combining the diagnostic disease data set to construct a diagnostic disease classification decision tree; according to the diagnostic disease classification decision tree, obtain the first classification result; obtain different types of neurology clinical nursing safety hidden danger standards, and obtain the neurology clinical nursing of the first user Potential safety standards, analyze and deal with potential safety hazards in the clinical care of the first user. The technical problems that the analysis results are not comprehensive enough and the efficiency is low in the prior art are solved.

Description

technical field [0001] The present invention relates to the related technical field of new generation information technology, in particular to a method and system for analyzing potential safety hazards in neurology clinical nursing. Background technique [0002] Neurology is a secondary discipline about neurology, mainly including cerebrovascular diseases, migraine, encephalitis, meningitis, myelitis, dementia, trigeminal neuralgia, epilepsy, myasthenia gravis and other diseases. The treatment and nursing of neurology-related diseases are highly valued, and its specialized nursing is an important part of clinical nursing. Qualified nursing quality is of great significance to ensure the normal treatment and good recovery of neurology patients. [0003] In clinical nursing work, nursing safety management is the focus of nursing management. Most of the patients in the neurology ward are seriously ill, have long hospital stays, poor prognosis, and high disability rate, which oft...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H20/70G16H50/20G16H10/60G06K9/62
CPCG16H20/70G16H50/20G16H10/60G06F18/2135G06F18/24323
Inventor 张瑾
Owner THE FIRST PEOPLES HOSPITAL OF NANTONG
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