Intelligent clinical nurse pre-evaluation performance evaluation system

The intelligent clinical nurse performance evaluation system addresses inefficiencies in current systems by adjusting workload weights and incorporating intelligent evaluation and warning modules to enhance the fairness and motivation of clinical nurses.

CN119180558AInactive Publication Date: 2024-12-24TONGJI HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI TECH
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Patent Information

Application Number
CN202411255220.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-09
Publication Date
2024-12-24
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Current nurse performance evaluation systems in hospitals are inefficient, prone to errors, and lack targeted assessment of clinical nurses' diverse work contents, types, and difficulties, leading to inadequate motivation and supervision of professional skills and service quality.

Method used

An intelligent clinical nurse performance evaluation system that collects and analyzes clinical work information, adjusts workload performance weights based on content, type, and difficulty, and includes modules for data processing, intelligent evaluation, and warning to ensure fairness and motivation.

Benefits of technology

Enhances the pertinence and fairness of nurse performance evaluations, motivating clinical nurses to improve their professional skills, service attitude, and work enthusiasm through personalized scoring and comprehensive evaluation.

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Patent Text Reader

Abstract

The invention discloses an intelligent clinical nurse pre-evaluation performance evaluation system in the field of personnel management information systems. The intelligent clinical nurse pre-evaluation performance evaluation system comprises a work information acquisition module, a clinical information acquisition module, an intelligent element extraction module, a data operation processing module, an intelligent evaluation module, a warning module and a feedback module. The method is comprehensive and effective, the clinical work information is collected and analyzed, and the workload performance weight is adjusted according to the work content and the type number difficulty, so that the pertinence of the performance evaluation system to the complex work of clinical nurses is improved; and comprehensive performance scores and evaluations covering professional skills, work performance and service attitudes of clinical nurses are provided.
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Description

Technical Field

[0001] The invention belongs to the field of personnel management information systems, and in particular is an intelligent clinical nurse performance evaluation system. Background Art

[0002] Clinical nurses are a very important member of the medical and health system. They are directly involved in the daily care of patients, condition observation, treatment implementation, and health education. The roles of clinical nurses are diverse and critical, and they play an irreplaceable role in promoting patient recovery, improving medical quality, and ensuring patient safety. Therefore, a fair, just and open performance evaluation system that can comprehensively evaluate nurses' professional skills, work performance, and service attitude, thereby promoting nurses' personal growth, continuing education, improvement of nursing service quality, and stimulation of work enthusiasm and creativity is of great value to improving the quality of hospital medical services and building an excellent medical and health system.

[0003] At present, hospitals mostly use ordinary nurse workload statistics or manual statistics for performance appraisal. Such performance appraisal systems are not only inefficient and prone to errors, but simple workload performance appraisals are not targeted at the different work contents of clinical nurses. Because patient evaluations are not counted and included in the performance appraisal, and there is no performance appraisal weight attenuation for qualification certificates, there is a lack of supervision on clinical nurses in improving their service quality and nursing professional knowledge and skills. And because there is no difficulty analysis of work content and quantity and performance appraisal rewards, it is difficult to motivate clinical nurses to work actively and grow in all aspects.

[0004] Therefore, it is necessary to propose an intelligent clinical nurse performance evaluation system that can adjust the workload performance weight according to the different work contents, types, quantity and difficulty of clinical nurses, and can collect and analyze clinical work information and incorporate it into the clinical nurse performance evaluation. Summary of the invention

[0005] In order to solve the above problems, the purpose of the present invention is to provide an intelligent clinical nurse performance evaluation system, which collects and analyzes clinical work information, adjusts the workload performance weight according to the content, type, quantity and difficulty of the work, improves the performance evaluation system's pertinence to the complex work of clinical nurses, and provides a comprehensive performance score and evaluation covering the professional skills, work performance and service attitude of clinical nurses.

[0006] In order to achieve the above-mentioned purpose, the technical scheme of the present invention is as follows: an intelligent clinical nurse performance evaluation system for evaluating and appraising advanced and outstanding nurses, including a work information collection module, a data calculation and processing module, an intelligent evaluation module and a warning module; the work information collection module is used to collect the working hours and the number of work documents of nurses; the data calculation and processing module is used to calculate and output the performance scores of basic performance, workload performance, professional qualification performance and work quality performance according to the performance function, that is, work performance points × work performance weight = work performance score; the intelligent evaluation module is used to analyze the authenticity and completeness of the nurse evaluation according to the performance score and clinical work information, and provide a comprehensive nurse performance evaluation in combination with the comparison of the comprehensive nurse performance evaluation and performance score of the previous stage; the warning module is used to warn the nurse's direct superior through private information based on the authenticity of the nurse evaluation.

[0007] The principle of the basic scheme is: after the work information collection module collects the nurse's working hours and the number of work documents, the data calculation and processing module adjusts the workload performance weight, professional qualification performance weight and work quality performance weight according to the preset difficulty of the scheduled work content and the number of work types, the outstanding contributions and work errors of clinical nurses, the patient's rating of clinical nurses, the time of obtaining the qualification certificate, the completion time of the scientific research project and other data information, so as to customize a personal performance weight for each clinical nurse's work content and actual situation, and calculate the personal performance score, and input the performance score into the intelligent evaluation module. The intelligent evaluation module calculates the total performance score and combines and compares the comprehensive nurse performance score of the previous stage to provide the total performance score of the nurse. In addition, the intelligent evaluation module can analyze and summarize the comprehensive nurse performance evaluation of the clinical nurse according to the clinical work information, and compare the comprehensive nurse performance evaluation of the previous stage to provide a comprehensive nurse performance evaluation. On this basis, the intelligent evaluation module can also combine the total performance score of the nurse and the comprehensive nurse performance evaluation to analyze the authenticity and completeness, and evaluate whether there is a possibility of falsification of performance. If there is such a possibility, the warning module will warn the direct superior of the clinical nurse through private information.

[0008] The beneficial effects of the basic plan are: 1. Through the data calculation and processing module, the workload performance weight is adjusted according to the analysis of the preset scheduling work content difficulty and work type quantity information, so as to enhance the pertinence of the performance evaluation of complex clinical nurses' work, so that clinical nurses with different work contents can obtain performance scores commensurate with their actual workload, thereby improving the fairness of the performance evaluation system and stimulating the work enthusiasm of clinical nurses.

[0009] 2. Through the data calculation and processing module, the work quality performance weight is adjusted according to the outstanding contributions and work errors of clinical nurses and the analysis of patients' rating information of clinical nurses, and the patients' ratings are introduced into the performance evaluation of clinical nurses, so as to urge clinical nurses to pay attention to the improvement of work performance and service attitude.

[0010] 3. Through the data calculation and processing module, the professional qualification performance weight is adjusted according to the analysis of the time of obtaining the qualification certificate and the length of employment, so as to promote clinical nurses to improve their professional skills and continuing education, thereby motivating clinical nurses to improve themselves in all aspects during the work process.

[0011] 4. By analyzing the authenticity of nurse evaluations based on performance scores and clinical work information through the intelligent evaluation module, it is possible to check whether there is false data in the collection of upstream performance evaluation scores and evaluations, thereby improving the fairness of the performance evaluation system.

[0012] 5. By comparing the comprehensive nurse performance evaluation and performance scores of the previous stage through the intelligent evaluation module, the progress information of clinical nurses can be provided in this comprehensive nurse performance evaluation, so that clinical nurses can see the progress and reflect on the regression in each performance evaluation, thereby motivating clinical nurses to continuously improve themselves.

[0013] 6. By analyzing the integrity of nurse evaluations based on performance scores and clinical work information through the intelligent evaluation module, clinical nurses can be provided with an opportunity to understand their own undiscovered qualities, thereby guiding clinical nurses to discover and develop their own unique abilities.

[0014] 7. Through the warning of the warning module, a self-inspection mechanism is provided for the performance evaluation system of clinical nurses, which can effectively curb the collection of false data and improve the fairness of the performance evaluation system.

[0015] Furthermore, the intelligent clinical nurse performance evaluation system also includes a clinical information collection module and an intelligent factor extraction module; the clinical information collection module is used to collect clinical work information such as clinical call response time, clinical nursing attitude voice, patient feedback comments and nursing scores of clinical nurses; the intelligent factor extraction module is used to analyze and extract the work mentality and personality traits of clinical nurses based on clinical nursing attitude voice, patient feedback information and superior evaluation, and output clinical work evaluation.

[0016] The beneficial effects of the basic solution are: through the clinical information collection module and the intelligent factor extraction module, the clinical work information of clinical nurses can be collected, and the qualities of clinical nurses in terms of professional ability, service attitude and personality traits in the work process can be extracted from it. This is the basis for subsequent intelligent comprehensive evaluation, which enhances the comprehensiveness of the performance evaluation system and improves the fairness of the performance evaluation system.

[0017] Furthermore, the intelligent clinical nurse performance evaluation system also includes a feedback module for feeding back the comprehensive nurse performance evaluation and performance score obtained in the previous stage to the intelligent evaluation module.

[0018] The beneficial effect of the basic program is: the comprehensive nurse performance evaluation and performance score obtained are fed back to the intelligent evaluation module through the feedback module, so that the comprehensive evaluation module can analyze and evaluate the changes of clinical nurses by comparing multiple performance evaluations before and after, thereby encouraging clinical nurses to make progress and correct regression in each performance evaluation stage, and promoting the comprehensive development and progress of clinical nurses.

[0019] Furthermore, the work information collection module includes a login unit and a signature unit; the login unit is used to use biometric facial recognition technology to collect nurses' working hour information; the signature unit is used to use biometric fingerprint electronic signature technology to collect nurses' work document quantity information, identify and compare the handwritten signature and fingerprint personal information of paper work documents, and authenticate the authenticity of the work documents.

[0020] The beneficial effects of the basic solution are: through biometric facial recognition technology and fingerprint electronic signature technology, working hours and workload statistics are automatically calculated, which, on the one hand, reduces the need for statistical labor and reduces the occurrence of statistical errors and modifications; on the other hand, biometric identification and authentication technology basically eliminates false data in working hours and workload statistics, thereby improving the fairness of the performance evaluation system and maintaining the fairness of performance evaluation.

[0021] Furthermore, the data calculation and processing module includes a basic performance unit, a workload performance unit, a professional qualification performance unit and a work quality performance unit; the basic performance unit is used to calculate and output basic working hour performance points and workload performance points according to the working hours and the number of work documents collected by the work information collection module; the workload performance unit is used to adjust the workload performance weight according to the preset electronic scheduling content and the number of work types, and calculate and output the workload performance score according to the basic working hour performance points and the basic workload performance points; the professional qualification performance unit is used to adjust the professional qualification performance weight according to the clinical nurses' employment time and the time point and type of obtaining nursing profession-related certificates, calculate and output the professional qualification performance score; the work quality performance unit is used to quantify the outstanding contributions and mistakes of clinical nurses, count patients' scores of clinical nurses, adjust the work quality performance weight, and calculate and output the work quality performance score.

[0022] The beneficial effects of the basic plan are: through multiple performance units, performance scores are calculated based on multi-faceted analysis of workload and work quality and adjustment of performance weights, thereby improving the pertinence of the performance evaluation system for clinical nurses' work evaluation, improving the fairness of the performance evaluation system, motivating clinical nurses' work enthusiasm and work attitude, and promoting clinical nurses to strive to improve their professional ability and service quality.

[0023] Furthermore, the clinical information collection module includes a reaction time collection unit, a comprehensive voice collection unit, a voice comment collection unit and a nursing score collection unit; the reaction time collection unit is used to use the biometric fingerprint electronic check-in technology to collect the reaction time of the clinical nurse when receiving the call from the patient in the ward and going to the ward for nursing; the comprehensive voice collection unit is used to collect the voice of the clinical nurse when nursing in the ward; the voice comment collection unit is used to collect patient feedback comments; the nursing score collection unit is used to collect the patient's score on the clinical nurse's nursing attitude, work seriousness and work skills after receiving the clinical nurse's care for a period of time.

[0024] The beneficial effects of the basic program are: by collecting the call response time of clinical nurses, voice during clinical care, patients' feedback comments and feedback scores through the clinical information collection module, the performance evaluation pays more attention to the service quality of clinical nurses and the responsiveness of patients, so as to more comprehensively evaluate the work attitude of clinical nurses during clinical working hours, and promote clinical nurses to provide their own clinical service quality and work attitude.

[0025] Furthermore, the intelligent factor extraction module includes a mentality profiling unit and a trait extraction unit; the mentality profiling unit is used to analyze and extract descriptions and evaluations of the working mentality of clinical nurses based on the information collected by the clinical information collection module; the trait extraction unit is used to analyze and extract descriptions and evaluations of the personality traits of clinical nurses based on the information collected by the clinical information collection module and the evaluation of superiors.

[0026] The beneficial effects of the basic scheme are: the intelligent factor extraction module analyzes the voice, score and superior evaluation collected by the clinical information collection module to obtain a comprehensive description of the work attitude, and extracts the personality traits that are consistent with clinical nurses, which can be used as a strategic reference for clinical nurses to improve service quality and comprehensively improve themselves.

[0027] Furthermore, the intelligent evaluation module includes a performance scoring unit and a comprehensive evaluation unit; the performance scoring unit is used to calculate and output the total performance score based on the performance score output by the data calculation and processing module, and provide the total performance score of clinical nurses in combination with the comprehensive nurse performance score of the previous stage; the comprehensive evaluation unit is used to analyze and compare the comprehensive nurse performance evaluation of the previous stage based on the work mentality and personality traits of clinical nurses extracted by the intelligent factor extraction module, provide a comprehensive evaluation of nurse performance and analyze the authenticity and completeness of the nurse evaluation in combination with the nurse performance score.

[0028] The beneficial effects of the basic plan are: through the evaluation of the performance scoring unit and the comprehensive evaluation unit, performance scores covering the difficulty of the work content and a more comprehensive comprehensive performance evaluation can be obtained, which improves the comprehensiveness of the performance evaluation system. In addition, the performance scores and comprehensive performance evaluations of the previous stage can be compared to obtain the progress and regression of clinical nurses, and urge clinical nurses to think about how to improve their own abilities and work attitudes.

[0029] Furthermore, the workload performance unit includes electronic scheduling analysis and work type analysis; electronic scheduling analysis is used to analyze the difficulty and completion of each work content in the schedule and adjust the workload performance weight; work type analysis is used to analyze the number of types of each work in the schedule and adjust and output the workload performance weight.

[0030] The beneficial effects of the basic plan are: through electronic scheduling analysis and work type analysis, it provides a basis for adjusting the workload performance weight of different work contents, and adjusts the workload performance weight by analyzing the types of work that the same nurse is responsible for, promoting clinical nurses to develop their own professional abilities in all aspects and improving the fairness of the performance evaluation system.

[0031] Furthermore, the work quality performance unit includes merit and demerit quantification and nursing score statistics; merit and demerit quantification is used to quantify the outstanding contributions and mistakes of clinical nurses and adjust the work quality performance weights; nursing score statistics are used to adjust and output the work quality performance weights based on patients' scores of clinical nurses' nursing attitude, work seriousness and work skills.

[0032] The beneficial effects of the basic program are: through the quantification of merits and demerits and the statistics of nursing scores, the evaluation of professional ability and service attitude is added to the work quality performance evaluation, thereby improving the comprehensiveness of the performance evaluation of clinical nurses and encouraging clinical nurses to provide rigorous and smiling care. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a schematic diagram of an intelligent clinical nurse performance evaluation system according to an embodiment of the present invention.

[0034] Figure 2 It is a schematic diagram of a data operation module in the intelligent clinical nurse performance evaluation system according to an embodiment of the present invention.

[0035] Figure 3 It is a schematic diagram of a clinical information collection module in the intelligent clinical nurse performance evaluation system according to an embodiment of the present invention.

[0036] Figure 4 The present invention is a schematic diagram of a work information collection module in an intelligent clinical nurse performance evaluation system according to an embodiment of the present invention.

[0037] Figure 5 It is a schematic diagram of the intelligent factor extraction module in the intelligent clinical nurse performance evaluation system according to an embodiment of the present invention.

[0038] Figure 6 It is a schematic diagram of the intelligent evaluation module in the intelligent clinical nurse performance evaluation system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The following is further described in detail through specific implementation methods:

[0040] Example 1

[0041] Basically as attached Figure 1 , Figure 2 , Figure 4 and Figure 6 As shown: An intelligent clinical nurse performance evaluation system includes a work information collection module, a data calculation and processing module, an intelligent evaluation module, a warning module and a feedback module.

[0042] The work information collection module is used to collect the nurses' working hours and the number of work documents. The work information collection module includes a login unit and a signature unit. The login unit is used to collect the nurses' working hours information using biometric facial recognition technology; the signature unit is used to collect the nurses' work document quantity information using biometric fingerprint electronic signature technology, identify and compare the handwritten signature and fingerprint personal information of the paper work document, and authenticate the authenticity of the work document.

[0043] The data calculation and processing module is used to calculate and output the performance scores of basic performance, workload performance, professional qualification performance and work quality performance according to the performance function, that is, work performance points × work performance weight = work performance score. The data calculation and processing module includes a basic performance unit, a workload performance unit, a professional qualification performance unit and a work quality performance unit. The basic performance unit is used to calculate and output the basic working hour performance points and workload performance points according to the working hours and the number of work documents collected by the work information collection module; the workload performance unit is used to adjust the workload performance weight according to the preset electronic scheduling content and the number of work types, and calculate and output the workload performance score according to the basic working hour performance points and the basic workload performance points. The workload performance unit includes electronic scheduling analysis and work type analysis. The electronic scheduling analysis is used to analyze the difficulty of each work content in the scheduling. The unit is used to analyze the degree and completion of each job, adjust the workload performance weight, and work type analysis is used to analyze the number of types of each job in the shift, adjust and output the workload performance weight; the professional qualification performance unit is used to adjust the professional qualification performance weight in combination with the length of time clinical nurses have been employed and the time and type of the nursing professional-related certificates obtained, and calculate and output the professional qualification performance score; the work quality performance unit is used to quantify the outstanding contributions and mistakes of clinical nurses, count the patients' scores of clinical nurses, adjust the work quality performance weight, calculate and output the work quality performance score. The work quality performance unit includes merit and demerit quantification processing and nursing score statistics. Merit and demerit quantification processing is used to quantify the outstanding contributions and mistakes of clinical nurses, adjust the work quality performance weight, and nursing score statistics are used to adjust and output the work quality performance weight based on the patients' scores of clinical nurses' nursing attitude, work seriousness and work skills.

[0044] The intelligent evaluation module is used to analyze the authenticity and completeness of the nurse evaluation based on the performance score and clinical work information, and to provide a comprehensive nurse performance evaluation by comparing the comprehensive nurse performance evaluation and performance score of the previous stage. The intelligent evaluation module includes a performance scoring unit and a comprehensive evaluation unit. The performance scoring unit is used to calculate and output the total performance score based on the performance score output by the data calculation and processing module, and to provide the total performance score of the clinical nurse by comparing the comprehensive nurse performance score of the previous stage; the comprehensive evaluation unit is used to analyze and compare the comprehensive nurse performance evaluation of the previous stage based on the work mentality and personality traits of the clinical nurses extracted by the intelligent factor extraction module, provide a comprehensive evaluation of nurse performance, and analyze the authenticity and completeness of the nurse evaluation by combining the nurse performance score.

[0045] The alert module is used to alert the clinical nurse's immediate supervisor through private messages based on the authenticity of the nurse's evaluation;

[0046] The feedback module is used to feed back the comprehensive nurse performance evaluation and performance score obtained in the previous stage to the intelligent evaluation module.

[0047] The specific implementation process is as follows: within a period of time, the working hours of clinical nurses are recorded by the login unit of daily facial recognition punch-in, and the number of daily work documents is authenticated and counted by fingerprint electronic signature. The statistical results obtained during performance evaluation are converted into basic working hours points and basic workload points in the basic performance unit. Then the workload performance unit analyzes the electronic scheduling work content during this period, including the difficulty analysis of the work content, such as taking care of mild and serious patients in the ward, taking care of ophthalmology inpatients and anorectal inpatients have different difficulty levels, and the number of work types. For example, three different types of work were taken care of during this period. Since multiple types of work will involve the work energy of clinical nurses to a certain extent, taking care of multiple different types of work can obtain a higher workload performance weight. The fairness of workload performance evaluation is improved through different weight levels, and clinical nurses are encouraged to take care of different types of work, so as to improve their professional ability in all aspects. According to the above two analyses, the workload performance unit adjusts the workload performance weight, multiplies it by the basic working hours performance points and workload performance points to obtain the workload performance score after weight balance. The professional qualification performance unit adjusts the professional qualification performance weight according to the clinical nurse's length of employment, relevant professional certificates obtained, and completed scientific research projects. Clinical nurse is a profession that focuses more on professional ability. Clinical nurses can obtain multiple professional qualification certificates, such as nurse and nursing assistant qualification certificates, specialist nurse certificates, international nurse certificates, and psychological nursing certificates. Some of them are more important and necessary certificates. So if the hospital stipulates that nurses need to obtain a certain professional qualification certificate within five years after joining the job, the performance score and performance weight obtained by the professional qualification certificate in the professional qualification performance unit will decrease year by year, and clinical nurses who have exceeded the required number of years and still have not obtained the professional qualification certificate will be punished by deducting a certain performance weight. Based on such a professional qualification performance unit, clinical nurses can be urged to pay attention to improving their professional work ability and theoretical knowledge in their daily work. In addition, the work quality performance unit is mainly to quantify the outstanding contributions and mistakes made by clinical nurses during this period, and to adjust the work quality performance weights based on the clinical nurse nursing scores fed back by patients. For example, nursing operations that cause serious medical consequences, a frivolous attitude towards patients, and a lack of attention to communication will reduce the work quality performance weights. The work quality performance weights are adjusted based on both professional ability at work and service attitude towards patients, and multiplied by the basic working hour performance score and workload performance score to obtain the weighted work quality performance score.

[0048] The intelligent evaluation module calculates and outputs the total performance score based on the above performance scores. The performance score this time will be used to compare with the historical performance scores sent back by the feedback module, and the performance score change curve will be obtained and provided to clinical nurses, providing a reference for the improvement of clinical nurses' daily work and continued growth. In addition, the intelligent evaluation module will analyze the evaluation based on the evaluation of the clinical work information obtained by analysis. On the one hand, it will analyze the authenticity of the clinical work information in combination with the performance score. For example, in the evaluation of clinical work information, there is an evaluation of a patient with superb injection technology and no pain during the injection. However, the work type analysis results show that the clinical nurse did not participate in work that requires injection. Therefore, the intelligent evaluation module can judge that this evaluation is false and will not participate in the comprehensive evaluation, thereby reducing the authenticity of the comprehensive evaluation of this performance evaluation. When it is reduced to a certain level, the performance evaluation system will send a warning mode. The module can alert superiors through private messages, so that superiors can promptly urge relevant clinical nurses to correct their mistakes and maintain the fairness of performance appraisal. On the other hand, the personality traits extracted from the analysis of clinical work information evaluation will be provided to clinical nurses in the form of personality evaluation by the intelligent evaluation module. Clinical nurses can once again discover their own hidden traits through the personality evaluation summarized by comments provided by others, thereby providing a reference for the development direction of their own personality and ability. Finally, the intelligent evaluation module can also compare the comprehensive performance evaluation of this stage with the comprehensive performance evaluation of the previous stage to analyze the evaluation changes of clinical nurses and provide them to clinical nurses in the form of a report, so that clinical nurses can fully understand their own work ability and personality changes during this period, promote the all-round development of clinical nurses, and enhance the sense of belonging of clinical nurses to the hospital.

[0049] Example 2

[0050] The difference from the above embodiment is that, as shown in the attached Figure 1 , Figure 3 and Figure 5 As shown: an intelligent clinical nurse performance evaluation system, which also includes a clinical information collection module and an intelligent factor extraction module;

[0051] The clinical information collection module is used to collect clinical work information such as clinical call response time, clinical nursing attitude voice, patient feedback comments and nursing scores of clinical nurses. The clinical information collection module includes a response time collection unit, a comprehensive voice collection unit, a voice comment collection unit and a nursing score collection unit; the response time collection unit is used to use biometric fingerprint electronic sign-in technology to collect the response time of clinical nurses going to the ward for nursing after receiving a call from a patient in the ward; the comprehensive voice collection unit is used to collect the voice of clinical nurses when providing nursing care in the ward; the voice comment collection unit is used to collect patient feedback comments; the nursing score collection unit is used to collect the patient's score on the clinical nurse's nursing attitude, work seriousness and work skills after receiving care from the clinical nurse for a period of time.

[0052] The intelligent factor extraction module is used to analyze and extract the working mentality and personality traits of clinical nurses based on clinical nursing attitude voice, patient feedback information and superior evaluation, and output clinical work evaluation. The intelligent factor extraction module includes a mentality profiling unit and a trait extraction unit; the mentality profiling unit is used to analyze and extract the description and evaluation of the working mentality of clinical nurses based on the information collected by the clinical information collection module; the trait extraction unit is used to analyze and extract the description and evaluation of the personality traits of clinical nurses based on the information collected by the clinical information collection module and the superior evaluation.

[0053] The specific implementation process is as follows: The clinical information collection module and the intelligent factor extraction module are mainly used to collect clinical work information of clinical nurses, including patient call response time, clinical work voice, patient feedback comments and patient care scores. The collection can be completed through an integrated call terminal equipped with fingerprint recognition. That is, after the patient calls the clinical nurse in the ward, the clinical nurse goes from the duty room to the ward. After arriving at the ward, the clinical nurse needs to use fingerprints to sign in electronically. This period of time is the patient call response time. The difference between the current response time and the evaluation response time is used to obtain the clinical nurse's patient call response speed level. Both the clinical work voice and patient feedback comments can be entered by the integrated call terminal. Finally, before the patient is about to be discharged, the patient can complete the scoring selection of the nursing attitude, work seriousness and work technology with the clinical nurse to which he belongs in the integrated call terminal. The patient care score will be directly output to the work quality performance unit to participate in the adjustment of the work quality performance weight.

[0054] After collecting these clinical work information, the intelligent factor extraction module will analyze the changes in speech speed and emotional color of clinical nurses in nursing work in the recording according to the clinical work voice and patient call response speed level, and obtain the work attitude evaluation of clinical nurses in clinical nursing work. The intelligent factor extraction module can also extract keywords describing the work attitude of clinical nurses, such as patience, kindness, friendly attitude, etc., and keywords of personality traits, such as cheerfulness, politeness, etc., based on the patient feedback comments collected by the clinical information collection module and the superior evaluation. Combined with the work attitude evaluation in clinical nursing work, the work mentality and potential personality trait results of clinical nurses in clinical work are obtained, and these results are output to the intelligent evaluation module for the next step of comprehensive performance evaluation.

[0055] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0056] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent clinical nurse performance evaluation system, characterized by: It includes work information collection module, data calculation and processing module, intelligent evaluation module and warning module; Work information collection module, used to collect nurses’ working hours and the number of work documents; The data calculation and processing module is used to calculate and output the performance scores of basic performance, workload performance, professional qualification performance and work quality performance according to the performance function, that is, work performance points × work performance weight = work performance score; Intelligent evaluation module, which is used to analyze the authenticity and completeness of nurse evaluations based on performance scores and clinical work information, and provide comprehensive nurse performance evaluations by comparing the comprehensive nurse performance evaluations and performance scores of the previous stage; The warning module is used to warn the clinical nurse's immediate superior through private messages based on the authenticity of the nurse's evaluation.

2. The intelligent clinical nurse performance evaluation system according to claim 1 is characterized by: It also includes a clinical information acquisition module and an intelligent element extraction module; Clinical information collection module, used to collect clinical work information such as clinical call response time, clinical nursing attitude voice, patient feedback comments and nursing scores of clinical nurses; The intelligent factor extraction module is used to analyze and extract the working mentality and personality traits of clinical nurses based on clinical nursing attitude voice, patient feedback information and superior evaluation, and output clinical work evaluation.

3. The intelligent clinical nurse performance evaluation system according to claim 2 is characterized by: It also includes a feedback module for feeding back the comprehensive nurse performance evaluation and performance score obtained in the previous stage to the intelligent evaluation module.

4. The intelligent clinical nurse performance evaluation system according to claim 1 is characterized by: The work information collection module includes a login unit and a signature unit; A login unit for collecting nurses’ work hours information using biometric facial recognition technology; The signature unit is used to collect the number information of nurses' work documents using biometric fingerprint electronic signature technology, identify and compare the handwritten signature and fingerprint personal information on paper work documents, and authenticate the authenticity of the work documents.

5. The intelligent clinical nurse performance evaluation system according to claim 4 is characterized by: The data calculation and processing module includes basic performance unit, workload performance unit, professional qualification performance unit and work quality performance unit; The basic performance unit is used to calculate and output basic working hour performance points and workload performance points based on the working hours and the number of work documents collected by the work information collection module; The workload performance unit is used to adjust the workload performance weight according to the preset electronic shift schedule content and the number of work types, and calculate and output the workload performance score according to the basic working hour performance points and the basic workload performance points; The professional qualification performance unit is used to adjust the professional qualification performance weight, calculate and output the professional qualification performance score based on the length of time clinical nurses have been employed and the time and type of nursing professional-related certificates obtained; The work quality performance unit is used to quantify the outstanding contributions and mistakes of clinical nurses, count patients' scores of clinical nurses, adjust work quality performance weights, and calculate and output work quality performance scores.

6. The intelligent clinical nurse performance evaluation system according to claim 2 is characterized by: The clinical information collection module includes a reaction time collection unit, a comprehensive voice collection unit, a voice comment collection unit and a nursing score collection unit; A response time collection unit is used to collect the response time of clinical nurses going to the ward for nursing care after receiving a call from a patient in the ward using biometric fingerprint electronic sign-in technology; Integrated voice acquisition unit, used to collect the voice of clinical nurses during ward care; Voice comment collection unit, used to collect patient feedback comments; The nursing score collection unit is used to collect the patient's score on the clinical nurse's nursing attitude, work seriousness and work skills after receiving clinical nurse care for a period of time.

7. The intelligent clinical nurse performance evaluation system according to claim 2 is characterized by: The intelligent factor extraction module includes a mentality profiling unit and a trait extraction unit; The mentality profiling unit is used to analyze and extract the description and evaluation of the working mentality of clinical nurses based on the information collected by the clinical information collection module; The trait extraction unit is used to analyze and extract the description and evaluation of the personality traits of clinical nurses based on the information collected by the clinical information collection module and the evaluation of the superior.

8. The intelligent clinical nurse performance evaluation system according to claim 1 is characterized by: The intelligent evaluation module includes a performance scoring unit and a comprehensive evaluation unit; The performance scoring unit is used to calculate and output the total performance score based on the performance score output by the data operation processing module, and provide the total performance score of the clinical nurse by combining and comparing the comprehensive nurse performance score of the previous stage; The comprehensive evaluation unit is used to analyze and compare the comprehensive nurse performance evaluation of the previous stage based on the work mentality and personality traits of clinical nurses extracted by the intelligent factor extraction module, provide a comprehensive evaluation of nurse performance and analyze the authenticity and completeness of the nurse evaluation in combination with the nurse performance score.

9. The intelligent clinical nurse performance evaluation system according to claim 8 is characterized by: The workload performance unit includes electronic scheduling analysis and work type analysis; Electronic shift analysis is used to analyze the difficulty and completion of each work content in the shift schedule and adjust the workload performance weight; Work type analysis is used to analyze the number of types of work in the shift schedule, adjust and output workload performance weights.

10. The intelligent clinical nurse performance evaluation system according to claim 9 is characterized by: The work quality performance unit includes the quantification of merits and demerits and nursing score statistics; Merit and demerit quantification is used to quantify the outstanding contributions and mistakes of clinical nurses and adjust the weight of work quality performance; Nursing score statistics are used to adjust and output work quality performance weights based on patients' scores on clinical nurses' nursing attitude, work seriousness and work skills.

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