CN-121981861-A - Intelligent analysis and training system for nursing behaviors of on-duty nurses based on artificial intelligence

CN121981861ACN 121981861 ACN121981861 ACN 121981861ACN-121981861-A

Abstract

The invention discloses an intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence, and relates to the technical field of nursing behavior analysis. The system comprises an information acquisition module, a control module and a control module, wherein the information acquisition module acquires past nursing behavior information and acquires real-time nursing behavior information of an incumbent nurse. According to the invention, a reference library is established as a reference on the basis of past nursing behavior information through a set reference establishment method, the nursing name corresponding to the real-time nursing behavior information is judged through a behavior matching method, whether the nursing behavior of a nurse is standard or not is judged through a behavior analysis method in combination with the nursing name, information to be optimized is generated to the nurse through a behavior optimization method when the nursing behavior is not standard, intelligent analysis behavior is integrally provided, training is provided for the situation that the behavior has defects, compliance and skill gap in actual operation are continuously and objectively evaluated through systematic analysis and training, near-real-time error correction and decision support are provided, and safety and efficiency are immediately improved in a key nursing link.

Inventors

JIA YAN
WANG RONG
GAO XIN
Wei Qiaomu

Assignees

苏州科技城医院

Dates

Publication Date: 20260505
Application Date: 20260210

Claims (8)

1. An artificial intelligence based on-duty nurse care action intelligent analysis and training system, the system comprising: The information acquisition module is used for acquiring past nursing behavior information, namely acquiring real-time nursing behavior information of an incumbent nurse, wherein the past nursing behavior information comprises past video information and past action information, and the real-time nursing behavior information comprises real-time video information and real-time action information; Characterized in that the system further comprises: The information processing module is used for establishing an association relation between an incumbent nurse and the real-time nursing behavior information, classifying the past nursing behavior information based on the past nursing behavior information through a reference establishing method to obtain a reference library, wherein the reference library comprises a behavior name, a behavior time period corresponding to the behavior name, a behavior video and a behavior action; The behavior recognition module is used for obtaining a target name by a behavior matching method based on the reference library and matching with the real-time nursing behavior information, and integrating the target name and the real-time nursing behavior information to obtain information to be analyzed; the behavior analysis module is used for selecting standard nursing behavior information under the behavior name through a standard selection method based on the reference library to obtain a standard catalog, and judging whether the behaviors of the incumbent nurse are standard or not through a behavior analysis method based on the information to be analyzed and the standard catalog; and the behavior training module is used for generating standard information through a behavior optimization method based on the real-time nursing behavior information and the judging result to obtain information to be optimized when the judging result is fed back as the real-time nursing behavior information of the incumbent nurse is not standard, and feeding the information to be optimized back to the incumbent nurse.
2. The intelligent analysis and training system for care behaviors of incumbent nurses based on artificial intelligence according to claim 1 is characterized in that the reference establishing method comprises the steps of splitting past care behavior information to obtain past video information and past action information, eliminating redundant information in the video information and the action information through a redundancy elimination method based on the past video information and the past action information to obtain a behavior time period, simplifying the video information and simplifying the action information, simplifying the video information to be a behavior video, simplifying the action information to be a behavior action, obtaining names of the care behaviors based on the behavior video and the behavior action to obtain a behavior name, establishing a corresponding relation between the behavior name and the behavior time period, the behavior video and the behavior action, and establishing a reference library for storing the behavior time period, the behavior name, the behavior video and the behavior action.
3. The intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence according to claim 2, wherein the redundancy elimination method comprises obtaining behavior time periods based on the start time and the end time of the acquisition of nursing behaviors of the incumbent nurses in real time, and obtaining simplified video information and simplified action information by intercepting past video information and past action information based on the behavior time periods.
4. The intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence according to claim 1 is characterized in that the behavior matching method comprises the steps of presetting a segmentation duration based on a behavior time period, presetting a matching object, splitting the matching object based on the segmentation duration to obtain a plurality of information segments, performing similarity matching based on the information segments and behavior videos or behavior actions in a reference library, and selecting a video segment or a behavior name corresponding to the action segment with highest similarity to obtain a target name.
5. The intelligent analysis and training system for care behaviors of on-duty nurses based on artificial intelligence according to claim 1 is characterized in that the standard selection method comprises the steps of obtaining standard care information of behavior names, presetting standard time based on the behavior names, wherein the standard time is a standard time period for completing the care behaviors represented by the behavior names, screening behavior videos of the behavior time periods meeting the standard time in a reference library based on the standard time, obtaining a matching value based on similarity matching between the selection actions and the standard actions, presetting a selection threshold, extracting selection information with the matching value exceeding the selection threshold to obtain target information, establishing correlation between the behavior names and the standard information and the target information, and establishing a standard catalog for storing the behavior names, the standard information and the target information.
6. The intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence is characterized in that the behavior analysis method comprises the steps of splitting information to be analyzed to obtain a target name and real-time nursing behavior information, selecting information corresponding to the target name from a standard catalog based on the target name to obtain information to be matched, obtaining the time length of the real-time nursing behavior information to obtain the real-time length, judging whether the relationship between the real-time length and the standard time to obtain a first judgment result, judging whether the real-time nursing behavior information corresponds to the information to be matched or not to obtain a second judgment result, wherein the first judgment result and the second judgment result are judgment results, when the first judgment result is that the real-time length exceeds the standard time, the judgment result is that the real-time nursing behavior information of the incumbent nurses is not standard, and when the second judgment result is that the real-time nursing behavior information does not correspond to the information to be matched, the judgment result is that the real-time nursing behavior information of the incumbent nurses is not standard.
7. The intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence according to claim 1, wherein the behavior optimization method comprises the steps of obtaining target reasons for nonstandard reasons of real-time nursing behavior information of incumbent nurses, wherein the target reasons comprise that the real-time length exceeds standard time and the real-time nursing behavior information does not correspond to the information to be matched, extracting the information to be matched to obtain the information to be optimized when the target reasons are that the real-time length exceeds standard time, and obtaining differences between the real-time nursing behavior information and the information to be matched and integrating the information to be matched to obtain the information to be optimized when the target reasons are that the real-time nursing behavior information does not correspond to the information to be matched.
8. The intelligent analysis and training system for nursing behaviors of on-duty nurses based on artificial intelligence according to claim 1 is characterized in that abnormal behavior actions are obtained, the duration time of the abnormal behavior actions is changed to obtain derivative abnormal actions, an abnormal library is established for storing the abnormal behavior actions and the derivative abnormal actions, real-time action information consistent with the time length of the abnormal behavior actions and the derivative abnormal actions is intercepted based on real-time action information to obtain comparison information, whether the comparison information is consistent with the abnormal behavior actions and the derivative abnormal actions or not is judged to obtain comparison results, and when the comparison results are consistent with one of the abnormal behavior actions or the derivative abnormal actions, the real-time action information is marked to obtain auxiliary information.

Description

Intelligent analysis and training system for nursing behaviors of on-duty nurses based on artificial intelligence Technical Field The invention relates to the technical field of nursing behavior analysis, in particular to an intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence. Background The nurse nursing action is to ensure the safety, comfort and honour of the patient by a series of ordered activities such as observation, communication, evaluation, treatment and recording based on professional knowledge and skills in clinical scenes. It encompasses aseptic procedures, medication management, vital sign monitoring, condition assessment, assisted exercise and care procedures, emotional support and communication, patient education and health promotion, and behavioral patterns following care procedures and occupational specifications. The training management method for improving the nursing information competence of nurses comprises the following steps of S1, S2, introducing high-fidelity simulation equipment into a physical simulation module through investigation and demand analysis, S3, establishing a dynamically updated case library, S5, establishing a physical simulation module, S6, organizing teaching and learning special training and a remote tutoring mechanism of a staff, S7, introducing an artificial intelligence-based personalized learning recommendation system into a training platform, and S8, combining real-time data provided by the physical simulation module through the artificial intelligence recommendation system. Through carrying out special training, nurses not only can master theoretical knowledge in the simulation environment, but also can improve the ability of coping with complex clinical situations through situation exercise and actual operation, and nurses can understand nursing theory deeply and improve theoretical support and practical knowledge of nurses in the training process. The training method based on the above and similar principles aims to provide a passive learning process for nurses, is inconvenient for correcting errors for nurses to optimize training in nursing behaviors of nurses, has limitations, namely the method based on the above and similar principles does not have the effect of performing intelligent analysis on nursing behaviors and then performing training, and has the main defects that compliance and skill gaps in actual operation cannot be continuously and objectively evaluated, so that training and improvement lack pertinence, manual observation and self-reporting are relied on, subjective deviation, fatigue and working pressure influence are prone to occur, high-frequency and large-scale quality feedback is difficult to achieve, real-time or near-real-time error correction and decision support are lacked, and safety and efficiency cannot be immediately improved in a key nursing link, so that the invention is provided. Disclosure of Invention The invention aims to provide an intelligent analysis and training system for nursing behaviors of incumbent nurses based on artificial intelligence so as to solve the problems in the background technology. In order to achieve the purpose, the invention provides the technical scheme that the intelligent analysis and training system for the nursing behaviors of the incumbent nurses based on artificial intelligence comprises the following components: The information acquisition module is used for acquiring past nursing behavior information, namely acquiring real-time nursing behavior information of an incumbent nurse, wherein the past nursing behavior information comprises past video information and past action information, and the real-time nursing behavior information comprises real-time video information and real-time action information; The information processing module is used for establishing an association relation between an incumbent nurse and the real-time nursing behavior information, classifying the past nursing behavior information based on the past nursing behavior information through a reference establishing method to obtain a reference library, wherein the reference library comprises a behavior name, a behavior time period corresponding to the behavior name, a behavior video and a behavior action; The behavior recognition module is used for obtaining a target name by a behavior matching method based on the reference library and matching with the real-time nursing behavior information, and integrating the target name and the real-time nursing behavior information to obtain information to be analyzed; the behavior analysis module is used for selecting standard nursing behavior information under the behavior name through a standard selection method based on the reference library to obtain a standard catalog, and judging whether the behaviors of the incumbent nurse are standard or not through a behavior analysis method based on the information to be a