CN115860254A - Nursing intelligent teaching system based on clinical practice - Google Patents
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Abstract
The invention discloses a nursing intelligent learning guide system based on clinical practice, which belongs to the technical field of clinical practice intelligent learning guide systems and comprises a clinical practice intelligent learning guide module, a data acquisition module, a data analysis module and a strategy optimization module, wherein the clinical practice intelligent learning guide module is connected with the data acquisition module, the data acquisition module is connected with the data analysis module, the data analysis module is connected with the strategy optimization module, and the strategy optimization module is connected with the clinical practice intelligent learning guide module. The invention can construct a domain knowledge base, a student predicament model, an interaction strategy module and a teaching strategy in the clinical practice intelligent guide system on the basis of a cognitive learning theory and a cognitive diagnosis theory, quantitatively and comprehensively evaluates students in clinical practice, helps schools and hospitals to visually recognize and evaluate clinical practice performances of students, and solves the defect that the conventional clinical practice guide system cannot comprehensively evaluate the practice performances of the students.
Description
Technical Field
The invention relates to a teaching system, in particular to a nursing intelligent teaching system based on clinical practice, and belongs to the technical field of clinical practice teaching systems.
Background
The clinical practice of students in traditional nursing major forms is influenced by different degrees, various universities or hospitals develop online practice work in combination with self teaching environment construction foundation and teacher team construction situation, through teaching of online practice teaching guidance courses, the students can know and master theories, operations, core systems, emergency plans, nursing rooms and the like related to the clinical practice before clinical practice, and the results of qualitative investigation after the practice guidance show the approval of the students to the practice guidance. Although the feedback form of teaching, post-lesson operation and test of teachers for online practice is close to clinical content, the feedback form is inevitably repeated with the teaching of theoretical courses, and the waste of teaching resources and inefficient teaching are caused; teacher who gives lessons for practice guidance comes from clinic, and unreasonable scheduling of ward managers cannot guarantee that practice guidance teaching and clinical care work are carried out synchronously; the study guide teaching resource design is unreasonable, students cannot be used as the center, and the study basis and the requirements of the students are not fully considered; the teaching mode of clinical practice cannot be innovated based on the information technology, and only the traditional teaching mode of 'knowledge teaching-consolidation test-evaluation feedback' of school theory teaching is used; the teaching management mode of clinical practice cannot be innovated based on the information technology, and all links of clinical practice are not improved and optimized in function and procedure; and a more appropriate scientific research design cannot be reasonably selected based on research problems. Aiming at the defects, the invention provides an intelligent nursing guide system based on clinical practice, which focuses on autonomous learning and personalized learning of students under a special scene and mode of clinical practice based on a teaching concept taking students as the center, introduces the guide system based on artificial intelligence technology into the clinical practice teaching of the students in nursing speciality, adopts a research paradigm based on design to solve the practical problems in the clinical practice of nursing speciality, can analyze learning sleepiness and influence factors of the students in clinical practice in the nursing speciality, establishes an explanation model, combines a subject theory and a knowledge frame of skills, can establish a field library, a student sleepiness model, an interaction strategy module and a teaching strategy in the intelligent nursing speciality system based on a cognitive learning theory and a cognitive diagnosis theory, quantitatively and comprehensively evaluates the students in the clinical practice, helps schools and hospitals to visually and comprehensively evaluate the clinical practice performance of the students, and solves the problem that the comprehensive learning performance of the students cannot be evaluated in the existing clinical practice guide system.
Disclosure of Invention
The invention mainly aims to solve the defect that the practice performance of students cannot be comprehensively evaluated in the conventional clinical practice teaching system, and provides an intelligent nursing teaching system based on clinical practice.
The purpose of the invention can be achieved by adopting the following technical scheme:
the utility model provides a nursing intelligence leads learning system based on clinical practice, includes clinical practice intelligence leads learning module, data acquisition module, data analysis module and strategy optimization module, clinical practice leads learning module with data acquisition module links to each other, data acquisition module with data analysis module links to each other, data analysis module links to each other with strategy optimization module, strategy optimization module with clinical practice intelligence leads learning module links to each other, data analysis module assesses the course of study, theoretical knowledge examination and the study style test of student's clinical practice through the data that obtain, obtains process index, achievement index and style index, assesses the clinical practice and the theoretical examination of student through the comprehensive index, and the comprehensive index is the weighted sum of process index, achievement index and style index, and the evaluation formula of comprehensive index is:
D Z ＝α 1 D p +α 2 D s +α 3 D m ；
in the formula: d Z Is a comprehensive index, D p Is a process index, D s As a performance index, D m As a style index, α 1 、α 2 And alpha 3 The evaluation weights are respectively a process index, a score index and a style index and are set by experience;
wherein, the process index is positively correlated with the number of departments in which the students turn, the practice duration of the students, and the ratio of the type of basic nursing operation which the students have independently developed to the type of the preset practice task, and the evaluation formula of the process index is as follows:
in the formula: n is f The number of departments for the rotation of the students is positively correlated, m is the number of months for the students to participate in practice, i is the number of months for the students to participate in practice, and t i The duration of practice month participation with serial number i, n b Kinds of basic nursing operations that have been independently conducted for the caregiving birth, n a Presetting a type of practice task;
the result indexes are positively correlated with the mean value of the theoretical knowledge assessment results of the students participating in the students, the ratio of the difference between the highest score and the lowest score of the theoretical knowledge assessment results to the total number of the examination subjects is negatively correlated, and the evaluation formula of the result indexes is as follows:
in the formula: x is the total subject number of the life-care taking part in the theoretical knowledge examination, j is the serial number of the theoretical knowledge examination, d j Examination score with serial number j for theoretical knowledge examination, d max Examination score of the highest objective in theoretical knowledge assessment, d min Examination scores of the objective with the lowest performance in theoretical knowledge assessment are obtained;
the style index is positively correlated with the total times of taking part in rescue, critical patient nursing and operation assistance, and is positively correlated with the times of taking part in nursing ward-round and difficult and serious nursing case analysis, and the evaluation formula of the style index is as follows:
in the formula: n is o The total times of participation in rescue, critical patient nursing and operation assistance for the convalescence, n r For taking part in nursing ward and analyzing the case of difficult and serious nursing.
As a further scheme of the invention, the strategy optimization module collects process indexes, achievement indexes, style indexes and comprehensive indexes in the data analysis module, the time of a clinical practice process is customized for students according to the process indexes, the assessment question amount and assessment difficulty setting of theoretical knowledge assessment are adjusted according to the achievement indexes, the total times of emergency rescue participation, critical patient nursing and operation assistance and the times of nursing ward visit and case analysis of difficult and complicated critical nursing are adjusted according to the numerical values of the style indexes, the clinical practice of the students is classified and evaluated through the comprehensive indexes, the numerical values of the comprehensive indexes are standardized and regularized, the standardized and regularized comprehensive indexes form a comprehensive index sample value, and the comprehensive index sample value is a D sample value Z,Y The value D of the integrated index sample Z,Y As function of substitution of arguments
According to g (D) Z,Y ) The values of (a) classify the clinical practice of the convalescent student in the following way:
when in use
Recording the clinical practice evaluation result of the convalescent as A class;
when in use
In time, the clinical practice assessment results of the convalescent are scored as class B.
As a further scheme of the invention, the system further comprises a learning predicament analysis module, the learning predicament analysis module is connected with the clinical practice guidance module, the learning predicament analysis module is used for conducting interviewing on learning predicament faced in the clinical practice of the student and collecting interviewing data, influence factors of a learning predicament machine in the clinical practice of the student are combed, the data are coded and summarized based on the rooting theory, a personalized student predicament model is built, the theoretical model is subjected to saturation degree inspection, elements and logic relations in the student predicament model are explained through numerical calculation software, the learning predicament and the influence factors of the clinical practice of the student are output, and the learning predicament and the influence factors of the learning predicament are transmitted to the clinical practice guidance module to build a personalized clinical practice planning scheme.
As a further scheme of the invention, the intelligent clinical practice guidance module comprises a user layer, an application layer, a functional layer, a technical layer and a basic layer, wherein users of the user layer comprise schools, hospitals and students, the application layer is used for carrying out learning condition early warning, practice monitoring and intelligent guidance, the functional layer is used for carrying out field knowledge retrieval on a created field knowledge base, counting retrieved data, carrying out cognitive diagnosis, realizing personalized recommendation of field knowledge, and simultaneously carrying out theoretical knowledge testing and learning style testing on the students, the technical layer is used for realizing visualization of data and mining of student practice monitoring data, carrying out maximum entropy clustering analysis on symptoms and medication records in student practice, and realizing processing of information and construction of knowledge, and the basic layer comprises hardware equipment, an arithmetic processor and a storage facility for realizing clinical practice of convoy.
As a further scheme of the invention, the method for constructing the domain knowledge base of the functional layer comprises the following steps:
s1, field data acquisition: selecting a teaching outline, a teaching material and case set text data to perform text extraction, cleaning the data, and labeling the data;
s2, constructing a domain knowledge base: carrying out knowledge tag marking and classification analysis on the marked linguistic data, and integrating knowledge to form integrated knowledge data;
s3, field entity identification: and carrying out sequence labeling on the integrated knowledge data, and training the data by using a neural network model to realize the classification of a domain knowledge base and the identification of a domain entity.
As a further scheme of the invention, the data acquisition module is used for acquiring the number of departments in which students turn, the practice duration of the students, the types of basic nursing operations which the students have independently performed, the types of preset practice tasks, the scores of all departments in theoretical examinations, the total times of participation in rescue, critical patient nursing and operation assistance, the times of participation in nursing ward and difficult and serious nursing case analysis, which are monitored by the clinical practice intelligent learning module, and providing a data basis for the data analysis module.
The invention has the beneficial technical effects that: according to the nursing intelligent guide system based on clinical practice, an environment and a scene are provided for remote teaching, training, examination and the like of nursing education based on management and a teaching platform or a tool of new-generation information technologies such as internet, virtual reality, artificial intelligence and the like, deep fusion of modern information technologies and medical education teaching can help to explore a new form of intelligent medical education, a foundation is provided for education data sharing and teaching resource integration of schools and hospitals, the information technologies are fused, the artificial intelligence is utilized to support individualized and independent learning of students in non-school environments, problems and puzzles faced in clinical practice of students are solved asynchronously in a different place, the clinical practice effect of the students is monitored scientifically, basic data in clinical practice of the students can be captured through the arrangement of the data acquisition module, quantitative evaluation is carried out on a practice process, theoretical knowledge examination and a learning style during clinical practice of the students, comprehensive evaluation is carried out on the whole clinical practice, cooperative management of schools and hospitals is promoted, the learning difficulty in clinical practice of professional nursing practices is solved, data support is provided for clinical practice management, data support is provided, comprehensive evaluation is carried out on the current nursing practice, and high-grade learning information of students can help to provide high-grade teaching and research application of the students, and the teaching of the teaching system, and the teaching of the students can help to provide high-quality learning technology for the students.
Drawings
Fig. 1 is a block diagram illustrating a clinical practice-based intelligent nursing guidance system according to the present invention.
Detailed Description
In order to make the technical solutions of the present invention more clear and definite for those skilled in the art, the present invention is further described in detail below with reference to the examples and the accompanying drawings, but the embodiments of the present invention are not limited thereto.
As shown in fig. 1, the intelligent nursing guidance system based on clinical practice provided in this embodiment includes an intelligent clinical practice guidance module, a data acquisition module, a data analysis module, and a policy optimization module, where the intelligent clinical practice guidance module is connected to the data acquisition module, the data acquisition module is connected to the data analysis module, the data analysis module is connected to the policy optimization module, the policy optimization module is connected to the intelligent clinical practice guidance module, the data analysis module evaluates the learning process, theoretical knowledge assessment, and learning style test of clinical practice of students through the acquired data to acquire process indexes, achievement indexes, and style indexes, and evaluates the clinical practice and the theoretical assessment of students through the comprehensive indexes, where the comprehensive indexes are weighted sums of the process indexes, the achievement indexes, and the style indexes, and an evaluation formula of the comprehensive indexes is as follows:
D Z ＝α 1 D p +α 2 D s +α 3 D m ；
in the formula: d Z Is a comprehensive index, D p Is a process index, D s As a performance index, D m As a style index, α 1 、α 2 And alpha 3 The evaluation weights are respectively a process index, a score index and a style index and are set by experience;
wherein, the process index is positively correlated with the number of departments in which the students turn, the practice duration of the students, and the ratio of the type of basic nursing operation which the students have independently developed to the type of the preset practice task, and the evaluation formula of the process index is as follows:
in the formula: n is f The number of departments for the rotation of the students is positively correlated, m is the number of months for the students to participate in practice, i is the number of months for the students to participate in practice, and t i The duration of practice month participation with serial number i, n b Kinds of basic nursing operations that have been independently conducted for the caregiving birth, n a Presetting a type of practice task;
the result indexes are positively correlated with the mean value of the theoretical knowledge assessment results of the students participating in the students, the ratio of the difference between the highest score and the lowest score of the theoretical knowledge assessment results to the total number of the examination subjects is negatively correlated, and the evaluation formula of the result indexes is as follows:
in the formula: x is the total subject number of the life-care taking part in the theoretical knowledge examination, j is the serial number of the theoretical knowledge examination, d j Examination score with theoretical knowledge examination sequence number j, d max Examination score of objective of highest performance in theoretical knowledge assessment, d min The examination score of the objective with the lowest performance in the theoretical knowledge assessment is obtained;
the style index is positively correlated with the total times of taking part in rescue, critical patient nursing and operation assistance, and is positively correlated with the times of taking part in nursing ward-round and difficult and serious nursing case analysis, and the evaluation formula of the style index is as follows:
in the formula: n is o The total times of participation in rescue, critical patient nursing and operation assistance for the convalescence, n r For taking part in nursing ward and analyzing the case of difficult and serious nursing.
The nursing intelligent guide system based on clinical practice provided by the invention provides an environment and a scene for remote teaching, training, examination and the like of nursing education based on management and a teaching platform or a tool of new-generation information technologies such as Internet, virtual reality, artificial intelligence and the like, deep fusion of modern information technologies and medical education teaching can help to explore a new form of intelligent medical education, provides a foundation for education data sharing and teaching resource integration of schools and hospitals, fuses the information technologies, supports personalized autonomous learning of students in non-school environments by using the artificial intelligence, solves problems and puzzles faced in the clinical practice of students in a non-asynchronous manner, scientifically monitors the clinical practice effect of the students, can grab basic data in the clinical practice of the students through the arrangement of a data acquisition module, realizes quantitative evaluation of a practice process, theoretical knowledge examination and a learning style during the clinical practice of the students, comprehensively evaluates the whole clinical practice, promotes cooperative management of schools and hospitals, solves the learning puzzles in the clinical practice of nursing professionals, provides data support for the clinical practice management, provides rich data for the current nursing practice of the students, and provides a high-quality teaching tool for students, and provides a high-application path for the research of the teaching of the students in the teaching and the research of the teaching of the students.
The strategy optimization module collects process indexes, achievement indexes, style indexes and comprehensive indexes in the data analysis module, the time of a clinical practice process is customized for students according to the process indexes, assessment quantity and assessment difficulty setting of theoretical knowledge assessment are adjusted according to the achievement indexes, the total times of life care participation in rescue, critical patient nursing and operation assistance and the times of nursing ward and critical nursing case analysis are adjusted according to the values of the style indexes, the clinical practice of the students is classified and evaluated through the comprehensive indexes, the values of the comprehensive indexes are standardized and normalized, the standardized and normalized comprehensive indexes form a comprehensive index sample value, and the comprehensive index sample value is a D sample value Z,Y The value D of the integrated index sample Z,Y As function of substitution of arguments
According to g (D) Z,Y ) The values of (a) classify the clinical practice of the convalescent student in the following way:
when in use
Recording the clinical practice evaluation result of the convalescent as A class;
when in use
In time, the clinical practice assessment results of the convalescent are scored as class B.
As an important component in the health care industry, nursing work plays a very important role, the culture of nursing professional talents and the construction of nurse teams are the foundation for the development of the current health care industry, clinical practice is a core link for effectively fusing theoretical knowledge and practice, and is also a key period for the practical ability of nursing talents and the culture of clinical thinking, so that the nursing professional can help a nurse to change from a student role to a nurse role, help students to form good professional recognition, in order to enable the students to be in early and continuous clinical contact, the nursing professional must arrange not less than 40 weeks of clinical practice during a school to help the students to obtain sufficient nursing practice skills, the clinical practice of the nursing professional students is generally sent to clinical practice bases such as hospitals or community bases to participate in clinical practice, the practice tasks of scientific subjects such as internal medicine, surgery, community, pediatricolor, emergency department, intensive care department, psychiatric department, community health service center and the like are usually separated from schools in space, the learning and community modes are changed, so that the students adapt to the study environment, the teacher and the students can also encounter different learning challenges in the course of the study of the students. Through the classification evaluation of the comprehensive indexes, more visual evaluation levels can be transmitted to schools, hospitals and students, the schools can be helped to quickly know the clinical practice states and effects of the caregivers, doctors can conveniently visually recognize the clinical practice performances of the students through the numerical values of the comprehensive indexes, real-time personalized supervision and training of the hospitals to the caregivers in clinical practice are promoted, a foundation is laid for creating powerful nursing teams, self-recognition of the students can be improved, and early warning and training of single skills are enhanced.
The system also comprises a learning predicament analysis module, wherein the learning predicament analysis module is connected with the clinical practice learning guide module, the learning predicament analysis module combs learning predicament machine influence factors in the clinical practice of students by spreading interviews and collecting interview data for learning predicament faced in the clinical practice of the escort, coding and inducing the data based on the rooting theory to construct a personalized student predicament model, carrying out saturation degree inspection on the theoretical model, explaining element and logic relations in the student predicament model through numerical calculation software, outputting the learning predicament and influence factors of the clinical practice of the escort, and transmitting the learning predicament and influence factors thereof to the clinical practice learning guide module to construct a personalized clinical practice planning scheme.
Clinical practice intelligence leads to study module includes user layer, application layer, functional layer, technical layer and basic unit, the user on user layer includes school, hospital and student, the application layer is used for learning the situation early warning, practice monitoring and intelligence and leads to study, the functional layer is used for the field knowledge base of establishing to carry out the domain knowledge retrieval, and make statistics of the data of retrieval, carry out cognitive diagnosis, realize the individualized recommendation of domain knowledge, carry out theoretical knowledge test and study style test to the student simultaneously, the technical layer is used for realizing the visual of data and to the excavation of student practice monitoring data to carry out maximum entropy cluster analysis to symptom and the record of using medicine in the student practice, realize the processing of information and the construction of knowledge, the basic unit is including hardware equipment, arithmetic processor and the storage facility that is used for realizing the clinical practice of convoy.
As an important link of practice teaching, clinical practice needs to actively explore an optimization path of practice management aiming at practical problems in current clinical practice, develop practice education and teaching reform to perfect a practice result evaluation system, guarantee clinical practice effects, improve talent culture quality, enable education informatization to be endogenous power of higher education system reform, comprehensively promote concept reform, system reconstruction, capability remodeling and resource allocation of higher online education treatment, support and guide modernization of higher education system and treatment capability, and enable application development of information technology in education and teaching to be an important opportunity of medical education innovation. Traditional clinical practice is that the student gets into the hospital according to the overall arrangement of school practice teaching, practice assignment, practice turns, examination evaluation etc. are accomplished according to the practice task requirement by the hospital, during the practice, the school is confirmed or is examined through clinical practice base, clinical practice inspection, student practice information feedback, mode realization practice teaching management such as graduation practice appraisal, the hospital often adopts the department of nursing to be responsible for principal and subordinate-the long-third cooperation of teacher of giving a lesson teaching management mode, the application of information technology in traditional clinical practice mainly relies on the WeChat, the information-based system and the self-built comprehensive information-based platform of specific function, wherein: the application target of the information technology relying on WeChat focuses on assisting traditional practice teaching, the practice teaching effect of a specific department is improved, the basic mode is that WeChat groups are established, learning materials or learning tasks are sent, interaction or evaluation feedback is carried out, wherein the learning materials or the learning tasks are selected or formulated by the department with teaching or with the group of teachers for discussion under the meridian, and the learning content relates to the types of common diseases and critical diseases of the current department, disease emphasis, difficult knowledge and the like; the application target of the informatization system or tool with specific functions focuses on optimizing the management of a certain link of clinical practice or improving the teaching effect of a certain theory and skill; the application of the self-built comprehensive informatization platform focuses on comprehensively realizing informatization management of each link of clinical practice and integrating the teaching of practice content into modules of teaching resource pushing, score evaluation and the like. Through the arrangement of the intelligent clinical practice teaching module, a teaching concept of 'learning by students as a center' is fully practiced, the learning basis and the requirement of the students are considered on the design of teaching resources, the students are converted into the role of active learning, the teaching management mode of clinical practice is innovated based on information technology, the convenient operation and the efficient evaluation of education management are realized, and the optimization is realized on the functions and programs of all links.
The method for constructing the domain knowledge base of the functional layer comprises the following steps:
s1, field data acquisition: selecting a teaching outline, a teaching material and case set text data to perform text extraction, cleaning the data, and labeling the text;
s2, constructing a domain knowledge base: carrying out knowledge tag marking and classification analysis on the marked linguistic data, and integrating knowledge to form integrated knowledge data;
s3, field entity identification: and carrying out sequence labeling on the integrated knowledge data, and training the data by using a neural network model to realize the classification of a domain knowledge base and the identification of a domain entity.
The field knowledge base is constructed, so that students can conveniently retrieve and recognize knowledge in the field during clinical practice, the students can learn and care knowledge better, error methods and actions generated in the practice process are corrected, and the nursing service capacity and the specialty of the students are improved conveniently.
The data acquisition module is used for acquiring the department number of the student turns, the practice duration of the student, the type of basic nursing operation independently carried out by the student, the type of the preset practice task, the score of each department of the theoretical examination, the total times of rescue participation, critical patient nursing and operation assistance, the times of nursing ward visit and difficult and serious nursing case analysis, which are monitored in the clinical practice intelligent learning guide module, and providing a data base for the data analysis module.
Through the arrangement of the data acquisition module, the data required by the data analysis module can be acquired, and some abnormal values and outliers in the data are removed and optimized, so that abnormal evaluation caused by errors of hardware facilities and faults of storage equipment is avoided, and the scientificity of an evaluation result is improved.
In summary, in this embodiment, according to the intelligent nursing guidance system based on clinical practice of this embodiment, through the classification evaluation of the comprehensive indexes, a more intuitive evaluation level can be transmitted to the school, the hospital and the student, so as to help the school to quickly know the clinical practice state and effect of the caregiver, and also facilitate the doctor to intuitively perceive the clinical practice performance of the student through the numerical values of the comprehensive indexes, so as to promote the hospital to supervise and train the caregiver of the clinical practice in real time and individually, thereby laying a foundation for creating a powerful nursing team, also being beneficial to the student to improve self-cognition, and enhancing the early warning and training of individual skills. Through the arrangement of the intelligent clinical practice teaching module, a teaching concept of 'learning by students as a center' is fully practiced, the learning basis and the requirement of the students are considered on the design of teaching resources, the students are converted into the role of active learning, the teaching management mode of clinical practice is innovated based on information technology, the convenient operation and the efficient evaluation of education management are realized, and the optimization is realized on the functions and programs of all links. The field knowledge base is constructed, so that students can conveniently retrieve and recognize knowledge in the field during clinical practice, the students can learn and care knowledge better, error methods and actions generated in the practice process are corrected, and the nursing service capacity and the specialty of the students are improved conveniently. Through the arrangement of the data acquisition module, the data required by the data analysis module can be acquired, and some abnormal values and outliers in the data are removed and optimized, so that abnormal evaluation caused by errors of hardware facilities and faults of storage equipment is avoided, and the scientificity of an evaluation result is improved.
The above description is only for the purpose of illustrating the present invention and is not intended to limit the scope of the present invention, and any person skilled in the art can substitute or change the technical solution of the present invention and its conception within the scope of the present invention.
Claims (6)
1. The nursing intelligent learning guide system based on clinical practice is characterized by comprising a clinical practice intelligent learning guide module, a data acquisition module, a data analysis module and a strategy optimization module, wherein the clinical practice learning guide module is connected with the data acquisition module, the data acquisition module is connected with the data analysis module, the data analysis module is connected with the strategy optimization module, the strategy optimization module is connected with the clinical practice intelligent learning guide module, the data analysis module evaluates the learning process, theoretical knowledge assessment and learning style test of the clinical practice of a student through the acquired data to acquire process indexes, achievement indexes and style indexes, evaluates the clinical practice and the theoretical assessment of the student through comprehensive indexes, the comprehensive indexes are weighted sum of the process indexes, the achievement indexes and the style indexes, and the evaluation formula of the comprehensive indexes is as follows:
D Z ＝α 1 D p +α 2 D s +α 3 D m ；
in the formula: d Z Is a comprehensive index, D p Is a process index, D s As a performance index, D m As a style index, α 1 、α 2 And alpha 3 The evaluation weights are respectively a process index, a score index and a style index and are set by experience;
wherein, the process index is positively correlated with the number of departments in which the students turn, the practice duration of the students, and the ratio of the type of basic nursing operation which the students have independently developed to the type of the preset practice task, and the evaluation formula of the process index is as follows:
in the formula: n is f The number of departments for the rotation of the students is positively correlated, m is the number of months for the students to participate in practice, i is the number of months for the students to participate in practice, and t i The duration of practice month participation with serial number i, n b Kinds of basic nursing operations that have been independently conducted for the caregiving birth, n a Presetting a type of practice task;
the result indexes are positively correlated with the mean value of the theoretical knowledge assessment results of the students participating in the students, the ratio of the difference between the highest score and the lowest score of the theoretical knowledge assessment results to the total number of the examination subjects is negatively correlated, and the evaluation formula of the result indexes is as follows:
in the formula: x is the total subject number of the life-care taking part in the theoretical knowledge examination, j is the serial number of the theoretical knowledge examination, d j Examination score with serial number j for theoretical knowledge examination, d max Examination score of the highest objective in theoretical knowledge assessment, d min Examination scores of the objective with the lowest performance in theoretical knowledge assessment are obtained;
the style index is positively correlated with the total times of taking part in rescue, critical patient nursing and operation assistance, and is positively correlated with the times of taking part in nursing ward-round and difficult and serious nursing case analysis, and the evaluation formula of the style index is as follows:
in the formula: n is o The total times of participation in rescue, critical patient nursing and operation assistance for the convalescence, n r For taking part in nursing ward and analyzing the case of difficult and serious nursing.
2. The intelligent nursing guidance system based on clinical practice as claimed in claim 1, wherein the strategy optimization module collects the process index, achievement index, style index and comprehensive index in the data analysis module, customizes the time of the clinical practice process for students according to the process index, adjusts the examination question amount and examination difficulty setting of theoretical knowledge examination according to the achievement index, adjusts the total number of times of the caregivers participating in rescue, critical patients nursing and operation assistance and the number of times of taking care of ward rounds and critical nursing cases analysis according to the numerical value of the style index, performs classification evaluation on the clinical practice of students through the comprehensive index, standardizes and regularizes the numerical value of the comprehensive index, and forms the standardized and regularized comprehensive index into a comprehensive index sample value, wherein the comprehensive index sample value is a D sample value Z,Y The value D of the integrated index sample Z,Y As function of substitution of arguments
According to g (D) Z,Y ) The values of (a) classify the clinical practice of the convalescent student in the following way:
when in use
Recording the clinical practice evaluation result of the convalescent as A class;
when in use
In time, the clinical practice assessment results of the convalescent are scored as class B.
3. The intelligent nursing guidance system based on clinical practice as claimed in claim 1, further comprising a learning predicament analysis module, wherein the learning predicament analysis module is connected with the clinical practice guidance module, the learning predicament analysis module is used for conducting interviewing on learning predicament faced in the clinical practice of the student and collecting interview data, combing learning predicament machine influence factors in the clinical practice of the student, coding and summarizing the data based on the rooting theory, constructing a personalized student predicament model, conducting saturation degree inspection on the theoretical model, explaining elements and logic relations in the student predicament model through numerical calculation software, outputting the learning predicament and influence factors of the clinical practice of the student, and transmitting the learning predicament and influence factors to the clinical practice guidance module to construct a personalized clinical practice planning scheme.
4. The intelligent nursing guidance system based on clinical practice as claimed in claim 1, wherein the intelligent clinical practice guidance module comprises a user layer, an application layer, a functional layer, a technical layer and a basic layer, the users of the user layer comprise schools, hospitals and students, the application layer is used for performing learning condition early warning, practice monitoring and intelligent guidance, the functional layer is used for performing domain knowledge retrieval on the created domain knowledge base, performing statistics on the retrieved data, performing cognitive diagnosis, realizing personalized recommendation of domain knowledge, and simultaneously performing theoretical knowledge testing and learning style testing on the students, the technical layer is used for realizing data visualization and mining on student practice monitoring data, performing maximum entropy clustering analysis on disease and drug record in student practice, realizing information processing and knowledge construction, and the basic layer comprises hardware equipment, an arithmetic processor and a storage facility for realizing clinical practice of an escort.
5. The intelligent nursing guidance system based on clinical practice as claimed in claim 4, wherein the method for constructing the domain knowledge base of the functional layer comprises the following steps:
s1, field data acquisition: selecting a teaching outline, a teaching material and case set text data to perform text extraction, cleaning the data, and labeling the text;
s2, constructing a domain knowledge base: carrying out knowledge tag marking and classification analysis on the marked linguistic data, and integrating knowledge to form integrated knowledge data;
s3, field entity identification: and carrying out sequence labeling on the integrated knowledge data, and training the data by using a neural network model to realize the classification of a domain knowledge base and the identification of a domain entity.
6. The intelligent nursing guidance system based on clinical practice as claimed in claim 1, wherein the data collection module is used to collect the number of departments in which students turn, the duration of practice of students, the types of basic nursing operations that students have independently performed, the types of preset practice tasks, the scores of all departments in theoretical examinations, the total times of emergency rescue participation, critical patient nursing and surgical assistance, the times of taking care of ward rounds and critical nursing case analysis, which are monitored by the intelligent clinical practice guidance module, and provide a data base for the data analysis module.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116189866A (en) * | 2023-04-28 | 2023-05-30 | 青岛市第五人民医院 | Remote medical care analysis system based on data analysis |
| CN116523704A (en) * | 2023-04-03 | 2023-08-01 | 广州市德慷电子有限公司 | Medical practice teaching decision method based on big data |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116523704A (en) * | 2023-04-03 | 2023-08-01 | 广州市德慷电子有限公司 | Medical practice teaching decision method based on big data |
| CN116523704B (en) * | 2023-04-03 | 2023-12-12 | 广州市德慷电子有限公司 | Medical practice teaching decision method based on big data |
| CN116189866A (en) * | 2023-04-28 | 2023-05-30 | 青岛市第五人民医院 | Remote medical care analysis system based on data analysis |
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