Index evaluation and analysis system for nursing subject
The indicator evaluation and analysis system addresses the uneven nursing skill assessment by constructing representative samples and evaluating workload, technical capability, and nursing quality, enhancing the accuracy and significance of nursing discipline evaluations.
Patent Information
- Application Number
- CN202411279124.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-12
- Publication Date
- 2024-12-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The uneven technical capabilities and varying skill assessment methods of nurses in different hospitals hinder accurate and comprehensive evaluation of nursing quality and efficiency, necessitating a unified and multi-dimensional assessment system.
An indicator evaluation and analysis system comprising modules for analyzing educational background, workload, practice data, technical capability, nursing quality, and nursing level of nurses, using modules such as analysis sample, workload analysis, practice data collection, technical capability analysis, nursing quality detection, and nursing level analysis to construct a representative sample and evaluate nursing performance comprehensively.
The system ensures a comprehensive and accurate evaluation of nursing discipline indicators by flexibly constructing representative samples, considering workload, technical ability, and nursing quality, thereby improving the accuracy and practical significance of nursing assessments.
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Figure CN119204811A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of indicator evaluation and analysis of nursing disciplines, and in particular to an indicator evaluation and analysis system of nursing disciplines. Background Art
[0002] As the medical field continues to develop, nursing, as an independent discipline, plays a vital role in the patient's recovery process. As a core member of the patient care team, nurses work closely with doctors and other healthcare professionals to develop and implement care plans to ensure that patients receive comprehensive and professional care;
[0003] However, the technical capabilities of nurses in different types of hospitals are uneven, and the skill assessment methods of each hospital are also different. There is an urgent need for an assessment method to conduct multi-dimensional assessment and analysis of nurses in hospitals, aiming to improve the accuracy and practical significance of the evaluation results of nursing indicators and provide patients with better nursing services.
[0004] In order to solve the above defects, a technical solution is now provided. Summary of the invention
[0005] In order to overcome the shortcomings of the background technology, the embodiment of the present invention provides an indicator evaluation and analysis system for the nursing discipline, which can effectively solve the problems involved in the above-mentioned background technology.
[0006] The purpose of the present invention can be achieved through the following technical solutions:
[0007] An indicator evaluation and analysis system for nursing disciplines, comprising:
[0008] The analysis sample module is used to identify the educational background types of nurses in the hospital nursing department, thereby constructing an analysis sample of nurses in the hospital nursing department;
[0009] The workload analysis module is used to monitor and analyze the workload of the analysis samples and obtain the workload evaluation coefficient of the analysis samples;
[0010] A practice data collection module is used to collect and analyze the practice data of the analysis sample to obtain the practice data parameters of the analysis sample;
[0011] The technical capability analysis module is used to analyze the technical capability of the analysis sample and obtain the technical capability evaluation coefficient of the analysis sample. The specific analysis is as follows: comprehensively analyze the number of timeouts, the total timeout duration and the number of equipment errors of each nurse in the analysis sample to obtain the operation evaluation index of each nurse in the analysis sample; comprehensively analyze the nursing difference patient value, the deviation of the nursing difference index number and the patient difference value of each nurse in the analysis sample to obtain the nursing effect evaluation index of each nurse in the analysis sample; comprehensively analyze the operation evaluation index and the nursing effect evaluation index of each nurse in the analysis sample to obtain the technical capability evaluation coefficient of the analysis sample;
[0012] The nursing quality detection module is used to detect the nursing quality of the analysis sample and obtain the nursing quality parameters of each nurse in the analysis sample;
[0013] The nursing quality analysis module is used to analyze the nursing quality of the analysis sample and obtain the nursing quality evaluation coefficient of the analysis sample;
[0014] The nursing level analysis module is used to analyze the hospital's nursing level and obtain the hospital's nursing level.
[0015] Furthermore, the analysis sample of nurses in the hospital nursing department is constructed in the following specific ways:
[0016] Identify the educational level of nurses in the hospital nursing department. If the educational level is ≥2, randomly select a certain number of nurses from each educational level according to the educational level. If the educational level is <2, directly randomly select a certain number of nurses from the existing educational level and integrate the selected nurses into a new list to construct an analysis sample of nurses in the hospital nursing department.
[0017] Furthermore, the workload of analyzing samples is monitored and analyzed, and the specific analysis is as follows:
[0018] The actual working hours and the number of nursing operations of each nurse in the analysis sample over a period of time were counted to obtain the actual working hours and the number of nursing operations of each nurse in the analysis sample over a period of time;
[0019] Match the actual working hours of each nurse in the analysis sample within a period of time with the reference nursing operation times corresponding to the set actual working hours, and obtain the reference nursing operation times of each nurse in the analysis sample within a period of time;
[0020] The number of morning shifts, mid-shifts and evening shifts of each nurse in the analysis sample over a period of time was counted, and the three values were extracted and added to obtain the total number of shifts of each nurse in the analysis sample over a period of time. The number of morning shifts, mid-shifts, evening shifts and total number of shifts of each nurse in the analysis sample over a period of time were comprehensively analyzed to obtain the shift evaluation index;
[0021] A comprehensive analysis was conducted on the actual working hours, number of nursing operations, number of reference nursing operations, and shift evaluation index of each nurse in the analysis sample over a period of time to obtain the workload evaluation coefficient of the analysis sample.
[0022] Furthermore, the practical data of the analysis samples are collected and analyzed, and the specific analysis is as follows:
[0023] By collecting the nursing operation videos of each nurse in the analysis sample within a period of time, the nursing operation videos of each nurse in the analysis sample within a period of time are obtained, and the nursing operation videos of each nurse in the analysis sample within a period of time are analyzed, thereby extracting the number of timeouts, the total timeout duration and the number of incorrect use of equipment;
[0024] By collecting the nursing data of the patients that each nurse is responsible for in the analysis sample within a period of time, the nursing data of the patients that each nurse is responsible for in the analysis sample within a period of time is obtained, and the number of abnormal data is extracted therefrom, and the number of abnormal data of the patients that each nurse is responsible for in the analysis sample within a period of time is obtained;
[0025] Thus, the practical data parameters of the analysis sample are obtained.
[0026] Furthermore, the technical capability of analyzing the sample is analyzed, and the specific analysis is as follows:
[0027] The number of timeouts, total timeout duration, and number of equipment errors of each nurse in the analysis sample were comprehensively analyzed to obtain the operation evaluation index of each nurse in the analysis sample;
[0028] Compare and analyze the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time with the preset threshold of the number of abnormal data. If the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time is greater than the preset threshold of the number of abnormal data, the patient is judged to be in an abnormal state. The number of patients that each nurse is responsible for in the analysis sample within a period of time and are judged to be in an abnormal state is counted, thereby obtaining the value of abnormal patients for each nurse in the analysis sample within a period of time;
[0029] Obtain the data values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and perform difference calculation between the data values of various indicators corresponding to the patients who are judged to be in abnormal state and the reference data values of various indicators corresponding to the preset patients in the analysis sample within a period of time, and obtain the data deviation values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and perform sum analysis on the data deviation values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and obtain the deviation values of the abnormal indicators of each nurse in the analysis sample within a period of time;
[0030] Compare and analyze the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time with the number of reference abnormal data to obtain the abnormal value of patients for each nurse in the analysis sample within a period of time;
[0031] Comprehensively analyze the nursing difference patient value, nursing difference index deviation and patient difference value of each nurse in the analysis sample to obtain the nursing effect evaluation index of each nurse in the analysis sample;
[0032] A comprehensive analysis was conducted on the operation evaluation index and nursing effect evaluation index of each nurse in the analysis sample to obtain the technical ability evaluation coefficient of the analysis sample.
[0033] Furthermore, the nursing quality of the analyzed samples is tested, and the specific test is:
[0034] Skin infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time are collected and recorded as nursing detection infection images, thereby obtaining nursing detection infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time, and identifying the area of each infection site therefrom, and comparing and analyzing the area of each infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time with the preset infection site area threshold. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is greater than the preset infection site area threshold, then the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time will be compared with the preset infection site area threshold. The infection site corresponding to the infected patients of all levels cared for by each nurse in the sample is recorded as primary infection, and the area of the primary infection is counted. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is less than or equal to the preset infection site area threshold, then the infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is recorded as secondary infection, and the area of the secondary infection is counted. Then, the number of primary infections, the total area of primary infections, the number of secondary infections, and the total area of secondary infections corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time are comprehensively counted.
[0035] Thus, the nursing quality parameters of each nurse in the analysis sample were obtained.
[0036] Furthermore, the nursing quality of the analysis samples is analyzed, and the specific analysis is as follows:
[0037] The number of first-level infections, total area of first-level infections, number of second-level infections, total area of second-level infections corresponding to the infected patients at all levels cared for by each nurse in the sample over a period of time were compared with the reference number of first-level infections, reference total area of first-level infections, reference number of second-level infections, reference total area of second-level infections corresponding to the set infected patients at all levels to obtain the nursing quality assessment coefficient of the analyzed sample.
[0038] Furthermore, the hospital's nursing level is analyzed, specifically:
[0039] The workload assessment coefficient, technical ability assessment coefficient and nursing quality assessment coefficient of the analysis sample were comprehensively analyzed to obtain the comprehensive nursing assessment coefficient of the analysis sample;
[0040] The comprehensive nursing assessment coefficient of the analysis sample is matched with the comprehensive nursing assessment threshold corresponding to each set nursing level to obtain the nursing level of the analysis sample, and thus the nursing level of the hospital.
[0041] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects:
[0042] 1. The present invention flexibly adjusts the sample selection strategy by identifying the educational background type to construct a nurse analysis sample that is both representative and meets actual needs, thereby ensuring that the selected analysis sample can fully reflect the actual situation of nurses in the hospital nursing department, providing a solid data foundation for subsequent evaluation work;
[0043] 2. The present invention, by monitoring and analyzing the workload of the analysis samples, not only covers the statistical analysis of the actual working hours and the number of nursing operations, but also deeply considers the impact of shift arrangements on the workload, providing a scientific basis for accurately evaluating the workload and efficiency of nurses, thereby ensuring the comprehensiveness and accuracy of the evaluation results, and providing strong data support for the subsequent evaluation of the hospital's nursing level;
[0044] 3. The present invention obtains the technical ability evaluation coefficient and the nursing quality evaluation coefficient by analyzing the technical ability and nursing quality of the analysis samples, thereby not only evaluating the proficiency of nurses in terms of technical ability, but also deeply considering their performance in terms of nursing quality, providing strong data support for the subsequent evaluation of the nursing level of the hospital;
[0045] 4. The present invention realizes an accurate and unified evaluation of the hospital nursing level by conducting a comprehensive analysis of the workload evaluation coefficient, technical ability evaluation coefficient and nursing quality evaluation coefficient of the analysis samples, thereby significantly improving the accuracy and practical significance of the evaluation of nursing discipline indicators. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0047] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION
[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0049] like Figure 1 As shown, a nursing subject indicator evaluation and analysis system includes: an analysis sample module, a workload analysis module, a practice data collection module, a technical capability analysis module, a nursing quality detection module, a nursing quality analysis module, a nursing level analysis module and a display terminal;
[0050] The analysis sample module is used to identify the educational background types of nurses in the hospital nursing department. If the number of educational background types identified is equal to or greater than two (i.e. educational background type ≥ 2), a certain number of nurses are randomly selected from each educational background according to the different educational background types. If the number of educational background types identified is less than two (i.e. educational background type < 2), a certain number of nurses are directly randomly selected from the existing educational background types, and the selected nurses are integrated into a new list, thereby constructing an analysis sample of nurses in the hospital nursing department. The number of nurses selected from each educational background type can be pre-set according to actual needs, or can be set according to the proportion of educational background types in the total.
[0051] It should be noted that if there are two types of educational qualifications but one of them is extremely rare with only one or two, then only the main educational qualification type will be considered to ensure the representativeness of the analysis group;
[0052] The workload analysis module is used to monitor and analyze the workload of the analysis sample. The specific analysis process is as follows:
[0053] The actual working hours (i.e. normal working hours + overtime hours) and the number of nursing operations of each nurse in the analysis sample over a period of time were counted, and the actual working hours and the number of nursing operations of each nurse in the analysis sample over a period of time were obtained, which were marked as Lsc j and Lhc j , where j represents the number of each nurse in the analysis sample, and j = 1, 2, 3…m, and m represents the total number of nurse numbers in the analysis sample;
[0054] The actual working hours of each nurse in the analysis sample within a period of time are matched with the reference nursing operation times corresponding to the set actual working hours, and the reference nursing operation times of each nurse in the analysis sample within a period of time are obtained and calibrated as Lhc j * ;
[0055] The number of morning shifts, mid-shifts and evening shifts of each nurse in the analysis sample over a period of time is counted to obtain the number of morning shifts, mid-shifts and evening shifts of each nurse in the analysis sample over a period of time, and the three values are extracted and added to obtain the total number of shifts of each nurse in the analysis sample over a period of time. The number of morning shifts, mid-shifts, evening shifts and total number of shifts of each nurse in the analysis sample over a period of time are marked as Ba, respectively. j , Bb j , Bc j and Bd j , according to the formula: Get the shift evaluation index Lbs j , where q1, q2, and q3 represent the set weight coefficients;
[0056] According to the formula: The workload evaluation coefficient δ1 of the analysis sample is calculated, where x1, x2, and x3 represent the set weight coefficients, β1 and β2 represent the weight coefficients of the workload evaluation index and the shift evaluation index, respectively, and β1>β2, Lsc j * represents the reference actual working hours of each nurse in the analysis sample;
[0057] The practice data collection module is used to collect and analyze the practice data of the analysis sample. The specific collection and analysis process is as follows:
[0058] The nursing operation videos of each nurse in the analysis sample within a period of time are collected by a high-definition camera, and the nursing operation videos of each nurse in the analysis sample within a period of time are obtained. The nursing operation videos of each nurse in the analysis sample within a period of time are analyzed, and the number of timeouts, the total timeout duration, and the number of equipment errors are extracted from them, and are marked as HC1 respectively. j HC2 j and HC3 j ;
[0059] By collecting the nursing data of the patients in charge of each nurse in the analysis sample within a period of time, the nursing data of the patients in charge of each nurse in the analysis sample within a period of time is obtained, and the number of abnormal data is extracted from it, and the number of abnormal data of the patients in charge of each nurse in the analysis sample within a period of time is obtained, and marked as HY jf ; f represents the number of patients that each nurse is responsible for in the analysis sample within a period of time, and f = 1, 2, 3...h, h represents the total number of patient numbers that each nurse is responsible for in the analysis sample within a period of time;
[0060] The technical capability analysis module is used to analyze the technical capabilities of the analysis samples. The specific analysis process is as follows:
[0061] The number of overtimes, total timeout duration, and number of equipment errors of each nurse in the analysis sample were normalized and their values were taken according to the formula: Calculate the operation evaluation index CZN1 of each nurse in the analysis sample j , where R represents a natural constant, μ1, μ2, and μ3 represent the weight coefficients corresponding to the set number of timeouts, total timeout duration, and number of device erroneous usages, respectively;
[0062] The number of abnormal data of the patients that each nurse is responsible for in the analysis sample within a period of time is compared and analyzed with the preset abnormal data number threshold. If the number of abnormal data of the patients that each nurse is responsible for in the analysis sample within a period of time is greater than the preset abnormal data number threshold, the patient is judged to be in an abnormal state. The number of patients that are judged to be in an abnormal state in the analysis sample within a period of time is counted, thereby obtaining the abnormal patient value of each nurse in the analysis sample within a period of time and calibrating it as HYhy j ;
[0063] The data values of various indicators corresponding to the patients who are judged to be in abnormal state and are taken care of by each nurse in the analysis sample within a period of time are obtained, and the data values of various indicators corresponding to the patients who are judged to be in abnormal state and are taken care of by each nurse in the analysis sample within a period of time are calculated by difference with the reference data values of various indicators corresponding to the preset patients, and the data deviation values of various indicators corresponding to the patients who are judged to be in abnormal state and are taken care of by each nurse in the analysis sample within a period of time are obtained, and are calibrated as HYspj dk , the data deviation values of various indicators corresponding to the patients who were diagnosed as abnormal by each nurse in the analysis sample within a period of time were summed and analyzed according to the summation formula: Calculate the deviation of the number of nursing abnormality indicators of each nurse in the analysis sample within a period of time, where θ represents the correction factor, d represents the number of patients who are judged to be in abnormal state and are responsible for each nurse in the analysis sample within a period of time, and d=1, 2, 3...h1, h1 represents the total number of patient numbers who are judged to be in abnormal state and are responsible for each nurse in the analysis sample within a period of time, k represents the number of each indicator corresponding to the patient who is judged to be in abnormal state and is responsible for each nurse in the analysis sample within a period of time, and k=1, 2, 3...h2, h2 represents the total number of each indicator corresponding to the patient who is judged to be in abnormal state and is responsible for each nurse in the analysis sample within a period of time;
[0064] According to the formula: Calculate the nursing effectiveness evaluation index CZN2 of each nurse in the analysis sample j , among which, HY jf * It represents the number of reference abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time. μ4, μ5 and μ6 represent the weight coefficients corresponding to the set patient abnormality value, nursing abnormality patient value and nursing abnormality index deviation value respectively;
[0065] According to the formula: The technical ability evaluation coefficient δ2 of the analysis sample was calculated, where β3 and β4 represent the weight coefficients of the operation evaluation index and nursing effect evaluation index of each nurse in the analysis sample, respectively, and β3 < β4;
[0066] The nursing quality detection module is used to detect the nursing quality of the analysis sample. The specific detection method is as follows:
[0067] Skin infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time are collected and recorded as nursing detection infection images, thereby obtaining nursing detection infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time, and identifying the area of each infection site therefrom, and comparing and analyzing the area of each infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time with the preset infection site area threshold. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is greater than the preset infection site area threshold, then the infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is recorded as primary infection, and the area of the primary infection is counted. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is less than or equal to the preset infection site area threshold, then the infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is recorded as secondary infection, and the area of the secondary infection is counted, and then the number of primary infections GR corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is comprehensively counted. jt 一级 , Level 1 total infection area GM jt 一级 , secondary infection number GR jt 二级 , Secondary infection total area GM jt 二级 ; t represents the number of infected patients at each level, and t = 1, 2, 3...h3, h3 is the total number of infected patients at each level;
[0068] Thus, the nursing quality parameters provided by each nurse in the analysis sample were obtained;
[0069] The nursing quality analysis module is used to analyze the nursing quality of the analysis samples. The specific analysis process is as follows:
[0070] The reference level 1 infection number, reference level 1 infection total area, reference level 2 infection number, and reference level 2 infection total area corresponding to the set level 1 infection patients are marked as *GR jt 一级 , *GM jt 一级 , *GR jt 二级 and *GM jt 二级 ;
[0071] According to the formula: Calculate the impact index Δ1 of the number of primary infections cared for by each nurse in the analysis sample j , where Q1 represents the natural constant, v1 and v2 represent the set correction factors respectively;
[0072] According to the formula: Calculate the total area impact index of primary infection cared for by each nurse in the analysis sample Δ2 j , where Q2 is a natural constant, v3 and v4 are set correction factors respectively;
[0073] According to the formula: Calculate the impact index of the number of secondary infections cared for by each nurse in the analysis sample Δ3 j , where Q3 is a natural constant, v5 and v6 are set correction factors respectively;
[0074] According to the formula: Calculate the total secondary infection area impact index Δ4 of each nurse in the analysis sample j , where Q4 represents the natural constant, v7 and v8 represent the set correction factors respectively;
[0075] According to the formula: The nursing quality assessment coefficient δ3 of the analysis sample was calculated, where β5, β6, β7 and β8 represent the weight coefficients of the primary infection quantity impact index, the primary infection total area impact index, the secondary infection quantity impact index and the secondary infection total area impact index, respectively, and β5>β6>β7>β8;
[0076] The nursing level analysis module is used to analyze the nursing level of the hospital. The specific analysis process is as follows:
[0077] According to the formula: The comprehensive nursing evaluation coefficient HDJ of the analysis sample was calculated, where η1, η2, and η3 represent the coefficient factors corresponding to the workload evaluation coefficient, technical ability evaluation coefficient, and nursing quality evaluation coefficient, respectively;
[0078] The comprehensive nursing assessment coefficient of the analysis sample is matched with the comprehensive nursing assessment threshold corresponding to each set nursing level to obtain the nursing level of the analysis sample, thereby obtaining the nursing level of the hospital and displaying it on the display terminal.
[0079] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.
Claims
1. A nursing indicator evaluation and analysis system, characterized in that: include: The analysis sample module is used to identify the educational background types of nurses in the hospital nursing department, thereby constructing an analysis sample of nurses in the hospital nursing department; The workload analysis module is used to monitor and analyze the workload of the analysis samples and obtain the workload evaluation coefficient of the analysis samples; A practice data collection module is used to collect and analyze the practice data of the analysis sample to obtain the practice data parameters of the analysis sample; The technical capability analysis module is used to analyze the technical capability of the analysis sample and obtain the technical capability evaluation coefficient of the analysis sample. The specific analysis is as follows: comprehensively analyze the number of timeouts, the total timeout duration and the number of equipment errors of each nurse in the analysis sample to obtain the operation evaluation index of each nurse in the analysis sample; comprehensively analyze the nursing difference patient value, the deviation of the nursing difference index number and the patient difference value of each nurse in the analysis sample to obtain the nursing effect evaluation index of each nurse in the analysis sample; comprehensively analyze the operation evaluation index and the nursing effect evaluation index of each nurse in the analysis sample to obtain the technical capability evaluation coefficient of the analysis sample; The nursing quality detection module is used to detect the nursing quality of the analysis sample and obtain the nursing quality parameters of each nurse in the analysis sample; The nursing quality analysis module is used to analyze the nursing quality of the analysis sample and obtain the nursing quality evaluation coefficient of the analysis sample; The nursing level analysis module is used to analyze the hospital's nursing level and obtain the hospital's nursing level.
2. According to claim 1, a nursing subject indicator evaluation and analysis system is characterized in that: The specific construction method of constructing the analysis sample of nurses in the hospital nursing department is as follows: Identify the educational level of nurses in the hospital nursing department. If the educational level is ≥2, randomly select a certain number of nurses from each educational level according to the educational level. If the educational level is <2, directly randomly select a certain number of nurses from the existing educational level and integrate the selected nurses into a new list to construct an analysis sample of nurses in the hospital nursing department.
3. The indicator evaluation and analysis system for nursing discipline according to claim 1 is characterized in that: The workload of analyzing samples is monitored and analyzed, and the specific analysis is as follows: The actual working hours and the number of nursing operations of each nurse in the analysis sample over a period of time were counted to obtain the actual working hours and the number of nursing operations of each nurse in the analysis sample over a period of time; Match the actual working hours of each nurse in the analysis sample within a period of time with the reference nursing operation times corresponding to the set actual working hours, and obtain the reference nursing operation times of each nurse in the analysis sample within a period of time; The number of morning shifts, mid-shifts and evening shifts of each nurse in the analysis sample over a period of time was counted, and the three values were extracted and added to obtain the total number of shifts of each nurse in the analysis sample over a period of time. The number of morning shifts, mid-shifts, evening shifts and total number of shifts of each nurse in the analysis sample over a period of time were comprehensively analyzed to obtain the shift evaluation index; A comprehensive analysis was conducted on the actual working hours, number of nursing operations, number of reference nursing operations, and shift evaluation index of each nurse in the analysis sample over a period of time to obtain the workload evaluation coefficient of the analysis sample.
4. The indicator evaluation and analysis system for nursing discipline according to claim 1 is characterized in that: The practical data of the analysis samples are collected and analyzed, and the specific analysis is as follows: By collecting the nursing operation videos of each nurse in the analysis sample within a period of time, the nursing operation videos of each nurse in the analysis sample within a period of time are obtained, and the nursing operation videos of each nurse in the analysis sample within a period of time are analyzed, thereby extracting the number of timeouts, the total timeout duration and the number of incorrect use of equipment; By collecting the nursing data of the patients that each nurse is responsible for in the analysis sample within a period of time, the nursing data of the patients that each nurse is responsible for in the analysis sample within a period of time is obtained, and the number of abnormal data is extracted therefrom, and the number of abnormal data of the patients that each nurse is responsible for in the analysis sample within a period of time is obtained; Thus, the practical data parameters of the analysis sample are obtained.
5. The indicator evaluation and analysis system for nursing discipline according to claim 4 is characterized in that: The technical capabilities of analyzing samples are analyzed, specifically: The number of timeouts, total timeout duration, and number of equipment errors of each nurse in the analysis sample were comprehensively analyzed to obtain the operation evaluation index of each nurse in the analysis sample; Compare and analyze the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time with the preset threshold of the number of abnormal data. If the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time is greater than the preset threshold of the number of abnormal data, the patient is judged to be in an abnormal state. The number of patients that each nurse is responsible for in the analysis sample within a period of time and are judged to be in an abnormal state is counted, thereby obtaining the value of abnormal patients for each nurse in the analysis sample within a period of time; Obtain the data values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and perform difference calculation between the data values of various indicators corresponding to the patients who are judged to be in abnormal state and the reference data values of various indicators corresponding to the preset patients in the analysis sample within a period of time, and obtain the data deviation values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and perform sum analysis on the data deviation values of various indicators corresponding to the patients who are judged to be in abnormal state and are in charge of each nurse in the analysis sample within a period of time, and obtain the deviation values of the abnormal indicators of each nurse in the analysis sample within a period of time; Compare and analyze the number of abnormal data of patients that each nurse is responsible for in the analysis sample within a period of time with the number of reference abnormal data to obtain the abnormal value of patients for each nurse in the analysis sample within a period of time; Comprehensively analyze the nursing difference patient value, nursing difference index deviation and patient difference value of each nurse in the analysis sample to obtain the nursing effect evaluation index of each nurse in the analysis sample; A comprehensive analysis was conducted on the operation evaluation index and nursing effect evaluation index of each nurse in the analysis sample to obtain the technical ability evaluation coefficient of the analysis sample.
6. The indicator evaluation and analysis system for nursing discipline according to claim 1 is characterized in that: The nursing quality of the analysis sample is tested, and the specific test is: Skin infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time are collected and recorded as nursing detection infection images, thereby obtaining nursing detection infection images of infected patients of all levels cared for by each nurse in the sample analyzed over a period of time, and identifying the area of each infection site therefrom, and comparing and analyzing the area of each infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time with the preset infection site area threshold. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is greater than the preset infection site area threshold, then the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time will be compared with the preset infection site area threshold. The infection site corresponding to the infected patients of all levels cared for by each nurse in the sample is recorded as primary infection, and the area of the primary infection is counted. If the area of a certain infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is less than or equal to the preset infection site area threshold, then the infection site corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time is recorded as secondary infection, and the area of the secondary infection is counted. Then, the number of primary infections, the total area of primary infections, the number of secondary infections, and the total area of secondary infections corresponding to the infected patients of all levels cared for by each nurse in the sample analyzed over a period of time are comprehensively counted. Thus, the nursing quality parameters of each nurse in the analysis sample were obtained.
7. The indicator evaluation and analysis system for nursing discipline according to claim 6 is characterized in that: The nursing quality of the analysis samples is analyzed, and the specific analysis is as follows: The number of first-level infections, total area of first-level infections, number of second-level infections, total area of second-level infections corresponding to the infected patients at all levels cared for by each nurse in the sample over a period of time were compared with the reference number of first-level infections, reference total area of first-level infections, reference number of second-level infections, reference total area of second-level infections corresponding to the set infected patients at all levels to obtain the nursing quality assessment coefficient of the analyzed sample.
8. The indicator evaluation and analysis system for nursing discipline according to claim 1 is characterized in that: The above analysis of the hospital's nursing level is as follows: The workload assessment coefficient, technical ability assessment coefficient and nursing quality assessment coefficient of the analysis sample were comprehensively analyzed to obtain the comprehensive nursing assessment coefficient of the analysis sample; The comprehensive nursing assessment coefficient of the analysis sample is matched with the comprehensive nursing assessment threshold corresponding to each set nursing level to obtain the nursing level of the analysis sample, and thus the nursing level of the hospital.
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