CN112102934A - Nurse standardized training examination scoring method and system - Google Patents
Nurse standardized training examination scoring method and system Download PDFInfo
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Abstract
The invention provides a nurse standardized training assessment scoring method and system, relating to the technical field of medical treatment, and aiming to obtain professional theoretical assessment information of a first user; acquiring professional skill evaluation information of the first user; obtaining a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information; obtaining a first assessment score of the first user according to the first weight ratio; obtaining first practice information of the first user at a first hospital; obtaining first work quantification information and first evaluation information of the first user according to the first practice information; judging whether the first work quantification information exceeds a first preset threshold value or not; when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information; and obtaining the comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a nurse standardized training examination scoring method and system.
Background
The nurse standardized training is divided into the interior, surgery, obstetrics and gynecology, pediatrics, ENT department, emergency department, critical medicine department and operating room nurse standardized training rules according to the characteristics of clinical nursing work, the interior, exterior, gynecology, children and ENT departments are divided into sub-departments to introduce specialized training contents and methods in detail, and the nurse standardized training is divided into three stages of basic training, general training and specialized training according to the training characteristics. The nurses enter the corresponding training stages according to the self study calendar and the assessment of each stage, the level grade of the nurses is divided through the standardized training of the three stages, and finally the level of the low-age capital executives is reached.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
the assessment scoring of the most of the existing nurse standardized training is manually scored by related training personnel or examiners, and the scoring accuracy is insufficient and the efficiency is low due to human errors.
Disclosure of Invention
The embodiment of the invention provides a nurse standardized training assessment scoring method and system, which solve the technical problems that in the prior art, most assessment scoring of nurse standardized training is manually scored by related training personnel or examiners, the scoring accuracy is insufficient due to human errors, and the efficiency is low, and achieve the technical effects of improving the assessment normalization and the scoring accuracy, improving the efficiency, having high intelligent degree and realizing the fairness of training scoring.
In view of the above problems, the embodiments of the present application are provided to provide a nurse normalized training assessment scoring method and system.
In a first aspect, the invention provides a nurse standardized training assessment scoring method, which comprises the following steps: acquiring professional theoretical evaluation information of a first user; acquiring professional skill evaluation information of the first user; obtaining a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information; obtaining a first assessment score of the first user according to the first weight ratio; obtaining first practice information of the first user at a first hospital; obtaining first work quantification information and first evaluation information of the first user according to the first practice information; judging whether the first work quantification information exceeds a first preset threshold value or not; when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information; and obtaining the comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
In a second aspect, the invention provides a nurse normalized training assessment scoring system, which comprises:
the first obtaining unit is used for obtaining professional theoretical evaluation information of a first user;
a second obtaining unit, configured to obtain professional skill evaluation information of the first user;
a third obtaining unit, configured to obtain a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information;
a fourth obtaining unit, configured to obtain a first assessment score of the first user according to the first weight ratio;
a fifth obtaining unit configured to obtain first practice information of the first user at a first hospital;
a sixth obtaining unit, configured to obtain first work quantification information and first evaluation information of the first user according to the first practice information;
the first judgment unit is used for judging whether the first work quantification information exceeds a first preset threshold value or not;
a seventh obtaining unit, configured to obtain a first assessment coefficient according to the first work quantization information and the first evaluation information when the first work quantization information exceeds a first preset threshold;
an eighth obtaining unit, configured to obtain a comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
In a third aspect, the invention provides a nurse normalized training assessment scoring system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1-7 when executing the program.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the nurse normalized training assessment scoring method and the nurse normalized training assessment scoring system provided by the embodiment of the invention obtain the first assessment score of the first user by calculating the weight ratio of the professional theoretical assessment information and the professional skill assessment information of the first user, intelligently obtain the first work quantification information of the first user and the evaluation information of the first user by obtaining the practical operation information of the user in a hospital, generate the first assessment coefficient according to the first work quantification information and the first evaluation information, further calculate the comprehensive assessment score of the first user by the first assessment coefficient and the first assessment score, achieve the purposes of improving assessment normalization and scoring accuracy, improving efficiency, having high intelligence degree, avoiding human factors, realizing the technical effect of training scoring fairness, and solving the technical problem that most of assessment scores of nurse normalized training in the prior art are scored by related personnel or examiners, the method has the technical problems of insufficient scoring accuracy and low efficiency due to human errors.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a nurse normalized training assessment scoring method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a process of obtaining professional skill evaluation information of a first user in a nurse standardized training assessment scoring method according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a process of obtaining first operation information of a first user in a nurse normalized training assessment scoring method according to an embodiment of the present invention;
FIG. 4 is a schematic flow chart illustrating identification information of a preset operation standard in a nurse standardized training assessment scoring method according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating a process of obtaining first practice information of a first user in a first hospital in a nurse standardized training assessment scoring method according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart of the method for nurse normalized training assessment scoring in the embodiment of the present invention to obtain and correct the comprehensive assessment scoring information;
fig. 7 is a schematic flow chart illustrating a process of obtaining first behavior evaluation information of the first user in a nurse normalized training assessment scoring method according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a nurse standardized training assessment scoring system according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of another exemplary electronic device in an embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a first judging unit 17, a seventh obtaining unit 18, an eighth obtaining unit 19, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the invention provides a nurse standardized training assessment scoring method and system, which are used for solving the technical problems that in the prior art, most assessment scoring of nurse standardized training is manually scored by related training personnel or examiners, the scoring accuracy is insufficient due to human errors, and the efficiency is low, so that the technical effects of improving the assessment standardization and the scoring accuracy, improving the efficiency, having high intelligent degree and realizing the fairness of training scoring are achieved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are merely some embodiments of the present application and not all embodiments of the present application, and it should be understood that the present application is not limited to the example embodiments described herein.
Summary of the application
The nurse standardized training can refine the training rules according to departments, and the nurse level is divided according to the training scores. However, most of examination scores in standardized training of nurses are scored manually by related training personnel or examiners, and the assessment scores have human errors, so that the scoring accuracy is insufficient, and the efficiency is low.
In order to solve the technical problems, the technical scheme provided by the invention has the following general idea:
the embodiment of the application provides a nurse standardized training assessment scoring method, which comprises the following steps: acquiring professional theoretical evaluation information of a first user; acquiring professional skill evaluation information of the first user; obtaining a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information; obtaining a first assessment score of the first user according to the first weight ratio; obtaining first practice information of the first user at a first hospital; obtaining first work quantification information and first evaluation information of the first user according to the first practice information; judging whether the first work quantification information exceeds a first preset threshold value or not; when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information; and obtaining the comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
After the fundamental principle of the present application is introduced, the technical solutions of the present invention are described in detail with reference to the accompanying drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Example one
Fig. 1 is a schematic flow chart of a nurse standardized training assessment scoring method in the embodiment of the invention. As shown in fig. 1, an embodiment of the present invention provides a nurse normalized training assessment scoring method, where the method includes:
step 100: and acquiring professional theoretical evaluation information of the first user.
Specifically, the first user is a specific object participating in a nurse standard training, and may specifically be a nurse in a hospital or a student in a study and care professional, which is not specifically limited herein. The professional theoretical evaluation information is an examination of a theoretical part of a first user after participating in standardized training of nurses, and mainly comprises the contents of medical clinical theories, general nursing conventions, special nursing conventions, diagnostics knowledge, nurse practice examinations and job title examinations. And answering the patent theory knowledge on a computer and other media by the first user to obtain the test result of the first user, namely the professional theoretical evaluation information of the first user.
Step 200: and acquiring professional skill evaluation information of the first user.
Specifically, the professional skill evaluation information is the evaluation content of the actual operation, such as nursing basic operation, special nursing operation, classified nursing, nursing medical record, nursing file writing, nursing ward-round record, free-hand cardio-pulmonary resuscitation, nursing scientific research, clinical teaching/ward-round record, basic nursing quantitative index and the like, after the first user participates in the standardized training of nurses. According to the embodiment of the application, the operation information of the first user is collected through machine learning and input into the training model, the operation information of the first user is compared with the identification information of the preset operation standard, the output result of the training model is obtained, and then the professional skill evaluation information of the first user is obtained by combining the writing information of the first nursing file of the first user.
Further, by means of machine learning, the automation processing efficiency is improved, and the processing capability of the computer is improved, as shown in fig. 2, step 200 in the embodiment of the present application further includes:
step 210: obtaining first operation information of the first user;
step 220: inputting the first operation information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first operation information and identification information of a preset operation specification;
step 230: obtaining output information of the training model, wherein the output information comprises operation level information of the first user.
Step 240: obtaining first care document writing information of the first user.
Step 250: and acquiring professional skill evaluation information of the first user according to the operation level information of the first user and the first nursing file writing information of the first user.
Specifically, the training model is a Neural network model, i.e., a Neural network model in machine learning, and a Neural Network (NN) is a complex Neural network system formed by widely connecting a large number of simple processing units (called neurons), which reflects many basic features of human brain functions, and is a highly complex nonlinear dynamical learning system. Neural network models are described based on mathematical models of neurons. Artificial Neural Networks (Artificial Neural Networks) are a description of the first-order properties of the human brain system. Briefly, it is a mathematical model. Inputting first operation information of a first user into a neural network model, and outputting operation level information of the first user by the neural network model.
Further, the neural network model is obtained by training a plurality of sets of training data, each of the plurality of sets of training data including: the first operation information and the identification information of the preset operation specification. Still further, the training process is substantially a supervised learning process, the neural network model outputs operation level information of a first user by inputting the first operation information into the neural network model, and determines whether the output operation level information of the first user is consistent with an analysis result of identification information of a preset operation specification, if so, the supervised learning of the next group of data is performed; if the output operation level information of the first user is inconsistent with the analysis result of the identification information of the preset operation specification, the neural network model performs self-correction and adjustment, and when the obtained output result is consistent with the analysis result of the preset eye movement identification information and the preset emotion identification information, the learning of the group of supervision data is ended, and the next group of data supervision learning is performed; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. By inputting the first operation information of the first user in the evaluation process into the training model and based on the characteristics of continuous self optimization and correction of the training model through supervised learning, the obtained operation grade information of the first user is judged more accurately, so that the effects of improving the evaluation and evaluation accuracy and improving the evaluation efficiency are achieved.
Step 300: and obtaining a first weight ratio of the professional theoretical evaluation information and the professional skill evaluation information.
Specifically, the first weight ratio is a ratio in the total score divided according to the important component of the professional theoretical evaluation information and the professional skill evaluation information in the actual care or the degree of application to the actual care. Because the nursing professional theory is the basis of the professional skill, and the professional skill is the embodiment of the professional theory in the actual operation specification, the first weight ratio of the professional theory evaluation information to the professional skill evaluation information can be set to be 1:1 or 2:3, and the like.
Step 400: and obtaining a first assessment score of the first user according to the first weight ratio.
Specifically, the first assessment score is an assessment score calculated according to the professional theoretical assessment information and the professional skill assessment information, that is, a first assessment score result is calculated according to a first weight ratio, the professional theoretical assessment information and the professional skill assessment information, for example, the professional theoretical assessment information is 90 points, the professional skill assessment information is 95 points, the first weight ratio is 1:1, and the first assessment score is calculated to be 92.5 points.
Step 500: first practice information of the first user at a first hospital is obtained.
Step 600: and obtaining first work quantification information and first evaluation information of the first user according to the first practice information.
Specifically, the first practice information is a process of entering the first hospital practice after the first user participates in the nurse standardized training. The first hospital is again not limited and can be any class a hospital. The first practice information of the first user at the first hospital is obtained through video information or card punching record information on a medium. The first practice information is embodied, and first work quantification information of the first user can be obtained, such as the number of attendance days, the number of night shifts, the number of nursing patients and the like. And acquiring the nursing performance of the patient on the first user in the practical period, wherein the nursing performance mainly comprises evaluation information in aspects of instrument behavior, speech etiquette, responsibility center, post responsibility, service attitude and the like, and the first evaluation information is obtained by scoring the first user through the patient.
Step 700: and judging whether the first work quantification information exceeds a first preset threshold value.
Step 800: and when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information.
Step 900: and obtaining the comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
Specifically, the first preset threshold is a minimum standard value for quantification of work of the first user in practice, such as 180 days or more for attendance. Comparing the first work quantization information with a first preset threshold, and when the first work quantization information exceeds the first preset threshold, converting the first work quantization information and the first evaluation information into a first assessment coefficient according to the first work quantization information and the first evaluation information, for example, setting a range grade of the first work quantization information, where the first range grade corresponds to a first coefficient of 1; the second range level corresponds to a first coefficient of 1.2; the third range level corresponds to a first coefficient of 1.5. Performing coefficient processing on the score of the first evaluation information, for example, the score of the first evaluation information is 85-90, and a second coefficient corresponding to the first evaluation information is 1; the first evaluation information is 90-95 minutes, and a second coefficient corresponding to the first evaluation information is 1.2; the first evaluation information is 95-100 points, and the second coefficient corresponding to the first evaluation information is 1.5. Furthermore, by setting the weight value of the first work quantization information and the first evaluation information to be 7:3, the first assessment coefficient may be 1, 1.06, 1.5, and the like. In the embodiment of the application, the user whose first work quantitative information does not reach the first preset threshold value is not scored. Thereby achieving the technical effects of improving the examination normalization and the scoring accuracy, improving the efficiency, having high intelligent degree and realizing the fairness of the training scoring
Further, in order to accurately obtain the operation information of the user and achieve the effect of improving the accuracy of obtaining the operation of the user, as shown in fig. 3, step 210 in the embodiment of the present application further includes:
step 211: obtaining first video information of the first user;
step 212: acquiring first infrared action information of the first user;
step 213: and acquiring first operation information of the first user according to the first video information of the first user and the first infrared action information of the first user.
Specifically, the first video information is video information in a professional skill test for actual operation of the first user after the nurse standardized training. The limb action information of the first user is acquired through the infrared sensor and the like, the first video information of the first user is combined with the first infrared action information of the first user, the first operation information of the first user is obtained through analysis, the operation information of the user can be accurately obtained, and the effect of improving the accuracy of the operation of the user is achieved.
Further, in order to achieve the effect of enabling the output result of the machine learning to be more accurate, as shown in fig. 4, step 220 in this embodiment of the present application further includes:
step 221: obtaining first action information of the first user;
step 222: obtaining first posture information of the first user;
step 223: constructing a first database according to the first action information of the first user and the first posture information of the first user;
step 224: classifying the first database to obtain first classified data information and second classified data information;
step 225: and obtaining the identification information of the preset operation specification according to the first classified data information and the second classified data information.
Specifically, the method comprises the following steps: and extracting first action information and first posture information of the first user in the operation process in the professional skill test. And constructing a first database by using the first action information of the first user and the first posture information of the first user. Classifying the first database, and dividing the database information of which the coincidence degree of the first action information and the first posture information of the first user and the standard behavior reaches 90% into first classified data information, and dividing other first action information and first posture information into second classified data information. By using the first classification data information as the identification information of the preset operation specification, the effect that the output result of machine learning is more accurate is achieved
Further, in order to ensure the real effectiveness of the user practice information and the effect of data accuracy, as shown in fig. 5, step 510 in this embodiment of the present application further includes:
step 510: obtaining the number of attendance days of the first user at a first hospital;
step 520: judging whether the attendance days of the first user in the first hospital exceed a second preset threshold value or not;
step 530: determining the workload of a first time period when the attendance days of the first user in a first hospital exceed a second preset threshold;
step 540: and obtaining the first practical information according to the attendance days and the workload of the first time period.
Specifically, in order to guarantee the real effectiveness of the user practice information, whether the attendance days of the first user in the first hospital reach the minimum practice day standard or not is judged, namely the second preset threshold value is obtained. The first time period workload is the number of night shifts of the first user in the first hospital. And when the number of attendance days of the first user in the first hospital exceeds a second preset threshold, determining the workload of the first time period. The information of the number of working days of the first practice of the first user can be obtained according to the number of attendance days and the number of night shifts of the first user in the first hospital.
Further, in order to ensure the fairness of the comprehensive assessment score and improve the scoring accuracy, as shown in fig. 6, the method further includes, after step 900:
step 910: obtaining first behavior evaluation information of the first user;
step 920: judging whether the first behavior evaluation information of the first user is lower than a third preset threshold value or not;
step 930: and when the first behavior evaluation information of the first user is lower than a third preset threshold value, correcting the comprehensive assessment scoring information according to the first behavior evaluation information.
Specifically, in order to ensure the fairness and comprehensiveness of the comprehensive assessment scores, information such as behavior of the first user is acquired from the first user in the daily care process of the first hospital practice. The first behavior evaluation information comprises behavior evaluation information in multiple aspects such as foreign language communication evaluation, holding etiquette, speech etiquette, computer application and the like. The third preset threshold is the lowest standard score value of the set first behavior evaluation information. And when the first behavior evaluation information of the first user is lower than a third preset threshold value, correcting the comprehensive assessment scoring information according to the first behavior evaluation information.
Further, in order to achieve the purpose of comprehensively scoring the training results of the user and improving the effectiveness of scoring, as shown in fig. 7, step 910 of the embodiment of the present application further includes:
step 911: obtaining first speech information of the first user, wherein the first speech information is practical speech information of the first user;
step 912: obtaining a first core word according to the first speech information;
step 913: judging whether the first core word meets a preset condition or not;
step 914: when the first core word meets a preset condition, acquiring a first working environment of the first user;
step 915: and obtaining first behavior evaluation information of the first user according to the first speech information and the first working environment.
Specifically, the first speech information is speech information of the first user in practical patient care. And performing semantic analysis on the first speech information to obtain a first core word. The preset conditions are standard words, polite words, active words and the like used by nurses in nursing patients. And judging whether the first core word meets a preset condition or not, and acquiring a first working environment of the first user when the first core word meets the preset condition. The first working environment mainly comprises the cleanliness of a treatment room, a nurse station, a treatment cabinet and an instrument cabinet which are responsible for a first user. Through combining the first speech information with the first working environment, the first behavior evaluation information of the first user is obtained, so that the training results of the user are comprehensively scored, and the scoring effectiveness is improved.
Example two
Based on the same inventive concept as the nurse standardized training assessment scoring method in the previous embodiment, the invention further provides a nurse standardized training assessment scoring system, as shown in fig. 8, the system comprises:
the first obtaining unit 11 is used for obtaining professional theoretical evaluation information of a first user;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain professional skill evaluation information of the first user;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first assessment score of the first user according to the first weight ratio;
a fifth obtaining unit 15, wherein the fifth obtaining unit 15 is configured to obtain first practice information of the first user at a first hospital;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain first work quantification information and first evaluation information of the first user according to the first practice information;
a first judging unit 17, where the first judging unit 17 is configured to judge whether the first work quantization information exceeds a first preset threshold;
a seventh obtaining unit 18, wherein the seventh obtaining unit 18 is configured to obtain a first assessment coefficient according to the first work quantitative information and the first evaluation information when the first work quantitative information exceeds a first preset threshold;
an eighth obtaining unit 19, where the eighth obtaining unit 19 is configured to obtain a comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
Further, the obtaining professional skill evaluation information of the first user includes:
a ninth obtaining unit, configured to obtain first operation information of the first user;
a first training unit, configured to input the first operation information into a training model, where the training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first operation information and identification information of a preset operation specification;
a tenth obtaining unit, configured to obtain output information of the training model, where the output information includes operation level information of the first user;
an eleventh obtaining unit for obtaining first care document writing information of the first user;
a twelfth obtaining unit, configured to obtain the professional skill assessment information of the first user according to the operation level information of the first user and the first nursing document writing information of the first user.
Further, the obtaining the first operation information of the first user further includes:
a thirteenth obtaining unit configured to obtain first video information of the first user;
the first acquisition unit is used for acquiring first infrared action information of the first user;
a fourteenth obtaining unit, configured to obtain first operation information of the first user according to the first video information of the first user and the first infrared action information of the first user.
Further, the identification information of the preset operation specification includes:
a fifteenth obtaining unit, configured to obtain first motion information of the first user;
a sixteenth obtaining unit, configured to obtain first posture information of the first user;
the first construction unit is used for constructing a first database according to the first action information of the first user and the first posture information of the first user;
a seventeenth obtaining unit, configured to classify the first database to obtain first classified data information and second classified data information;
and the eighteenth obtaining unit is used for obtaining the identification information of the preset operation specification according to the first classified data information and the second classified data information.
Further, the obtaining first practice information of the first user at the first hospital further includes:
a nineteenth obtaining unit for obtaining the number of days the first user went out in the first hospital;
the second judging unit is used for judging whether the attendance days of the first user in the first hospital exceed a second preset threshold value;
a first determination unit, configured to determine a first time period workload when the number of attendance days of the first user at a first hospital exceeds a second preset threshold;
a twentieth obtaining unit, configured to obtain the first practice information according to the attendance days and the first period workload.
Further, the system further comprises:
a twenty-first obtaining unit, configured to obtain first behavior evaluation information of the first user;
a third judging unit, configured to judge whether the first behavior evaluation information of the first user is lower than a third preset threshold;
the first correcting unit is used for correcting the comprehensive assessment scoring information according to the first behavior assessment information when the first behavior assessment information of the first user is lower than a third preset threshold value.
Further, the obtaining the first behavior evaluation information of the first user further includes:
a twenty-first obtaining unit, configured to obtain first speech information of the first user, where the first speech information is utterance information of the first user in practice;
a twenty-second obtaining unit, configured to obtain a first core word according to the first speech information;
a fourth judging unit, configured to judge whether the first core word meets a preset condition;
a twenty-third obtaining unit, configured to obtain a first working environment of the first user when the first core word meets a preset condition;
a twenty-fourth obtaining unit, configured to obtain the first behavior evaluation information of the first user according to the first speech information and the first working environment.
Various changes and specific examples of the nurse standardized training assessment scoring method in the first embodiment of fig. 1 are also applicable to the nurse standardized training assessment scoring system in the present embodiment, and through the foregoing detailed description of the nurse standardized training assessment scoring method, a person skilled in the art can clearly know the implementation method of the nurse standardized training assessment scoring system in the present embodiment, so for the sake of brevity of the description, detailed description is omitted here.
EXAMPLE III
Based on the same inventive concept as one of the nurse normalized training assessment scoring methods in the previous embodiments, the present invention further provides an exemplary electronic device, as shown in fig. 9, comprising a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302, wherein the processor 302, when executing the program, implements the steps of any one of the nurse normalized training assessment scoring methods described above.
Where in fig. 9 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the nurse standardized training assessment scoring method and system, professional theoretical assessment information of a first user is obtained; acquiring professional skill evaluation information of the first user; obtaining a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information; obtaining a first assessment score of the first user according to the first weight ratio; obtaining first practice information of the first user at a first hospital; obtaining first work quantification information and first evaluation information of the first user according to the first practice information; judging whether the first work quantification information exceeds a first preset threshold value or not; when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information; according to the first assessment coefficient and the first assessment score, the comprehensive assessment score of the first user is obtained, so that the technical problems that in the prior art, assessment scores of most of nurse standardized training are scored manually by related training personnel or examinees, the scoring accuracy is insufficient due to human errors, and the efficiency is low are solved, the assessment normalization and the scoring accuracy are improved, the efficiency is improved, the intelligent degree is high, and the training scoring fairness is achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A nurse normalized training assessment scoring method, wherein the method comprises the following steps:
acquiring professional theoretical evaluation information of a first user;
acquiring professional skill evaluation information of the first user;
obtaining a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information;
obtaining a first assessment score of the first user according to the first weight ratio;
obtaining first practice information of the first user at a first hospital;
obtaining first work quantification information and first evaluation information of the first user according to the first practice information;
judging whether the first work quantification information exceeds a first preset threshold value or not;
when the first work quantitative information exceeds a first preset threshold value, obtaining a first assessment coefficient according to the first work quantitative information and the first evaluation information;
and obtaining the comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
2. The method of claim 1, wherein said obtaining expertise assessment information of the first user comprises:
obtaining first operation information of the first user;
inputting the first operation information into a training model, wherein the training model is obtained by training a plurality of sets of training data, and each set of training data in the plurality of sets comprises: the first operation information and identification information of a preset operation specification;
obtaining output information of the training model, wherein the output information comprises operation level information of the first user;
obtaining first care file writing information of the first user;
and acquiring professional skill evaluation information of the first user according to the operation level information of the first user and the first nursing file writing information of the first user.
3. The method of claim 2, wherein the obtaining first operation information of the first user further comprises:
obtaining first video information of the first user;
acquiring first infrared action information of the first user;
and acquiring first operation information of the first user according to the first video information of the first user and the first infrared action information of the first user.
4. The method of claim 2, wherein the identification information of the preset operation specification comprises:
obtaining first action information of the first user;
obtaining first posture information of the first user;
constructing a first database according to the first action information of the first user and the first posture information of the first user;
classifying the first database to obtain first classified data information and second classified data information;
and obtaining the identification information of the preset operation specification according to the first classified data information and the second classified data information.
5. The method of claim 1, wherein said obtaining first practice information of said first user at a first hospital further comprises:
obtaining the number of attendance days of the first user at a first hospital;
judging whether the attendance days of the first user in the first hospital exceed a second preset threshold value or not;
determining the workload of a first time period when the attendance days of the first user in a first hospital exceed a second preset threshold;
and obtaining the first practical information according to the attendance days and the workload of the first time period.
6. The method of claim 1, wherein the method further comprises:
obtaining first behavior evaluation information of the first user;
judging whether the first behavior evaluation information of the first user is lower than a third preset threshold value or not;
and when the first behavior evaluation information of the first user is lower than a third preset threshold value, correcting the comprehensive assessment scoring information according to the first behavior evaluation information.
7. The method of claim 6, wherein the obtaining first behavior assessment information for the first user further comprises:
obtaining first speech information of the first user, wherein the first speech information is practical speech information of the first user;
obtaining a first core word according to the first speech information;
judging whether the first core word meets a preset condition or not;
when the first core word meets a preset condition, acquiring a first working environment of the first user;
and obtaining first behavior evaluation information of the first user according to the first speech information and the first working environment.
8. A nurse normalized training assessment scoring system, the system comprising:
the first obtaining unit is used for obtaining professional theoretical evaluation information of a first user;
a second obtaining unit, configured to obtain professional skill evaluation information of the first user;
a third obtaining unit, configured to obtain a first weight ratio of the professional theoretical evaluation information to the professional skill evaluation information;
a fourth obtaining unit, configured to obtain a first assessment score of the first user according to the first weight ratio;
a fifth obtaining unit configured to obtain first practice information of the first user at a first hospital;
a sixth obtaining unit, configured to obtain first work quantification information and first evaluation information of the first user according to the first practice information;
the first judgment unit is used for judging whether the first work quantification information exceeds a first preset threshold value or not;
a seventh obtaining unit, configured to obtain a first assessment coefficient according to the first work quantization information and the first evaluation information when the first work quantization information exceeds a first preset threshold;
an eighth obtaining unit, configured to obtain a comprehensive assessment score of the first user according to the first assessment coefficient and the first assessment score.
9. A nurse normalized training assessment scoring system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1-7 when executing the program.
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