Typical medical record training system for brain operation of neurosurgery department

Abstract

The invention discloses a typical medical record training system for a neurosurgical brain operation, which relates to the technical field of neurosurgical brain operation training and considers the dynamic change of a training process, the regular calculation of a comprehensive assistance effect adaptation value and the repeated screening process. Along with student ability improvement and training key transfer, the most adaptive student list is adjusted in time. For example, the fine operation of the target student at the initial stage is prominent, and the operating room nursing student focuses on assistance; later decision-making ability needs to be enhanced, after rescreening, image subject students join cooperation, it is ensured that the auxiliary strength always meets the requirements of the students, and it is ensured that the training effect is continuously upgraded. The operation of the whole system depends on a large amount of training data, and scientific decision is made based on data from the links of index collection and evaluation to recommendation and distribution. On one hand, through redisk of previous data, a comprehensive skill evaluation value analysis model is continuously optimized, and key elements such as adaptive index weight are trained.

Description

Technical Field

[0001] The present invention relates to the technical field of neurosurgery brain surgery training, and in particular to a neurosurgery brain surgery typical case record training system. Background Art

[0002] Nowadays, neurosurgery is extremely difficult, and requires doctors to have precise operation, timely decision-making, and efficient emergency response. However, the traditional neurosurgery talent training model has many problems. In terms of teaching, it relies on master-apprentice inheritance and a small amount of clinical practice. The evaluation of trainees depends on the subjective observation of teachers and lacks quantitative indicators. For example, fine operation only looks at the time of craniotomy and ignores other key details; there is no standard for decision-making and emergency response ability evaluation, so it is difficult to know the true level of trainees and difficult to formulate targeted training plans. Therefore, a neurosurgery brain surgery typical case record training system is needed.

[0003] Prior art, such as the neurosurgery brain surgery typical case training system disclosed in the invention application patent with publication number: CN117636723A, relates to the field of surgical training technology, especially the neurosurgery brain surgery typical case training system, including a surgical training platform, a data communication module and training software; the surgical training platform includes a simulated surgical instrument with 6 degrees of freedom and a three-dimensional model of the human brain, and the surgical operation of the three-dimensional model of the human brain is performed by simulating the change of the degrees of freedom of the surgical instrument. The three-dimensional model of the human brain simulates the tissues and organs of the human brain and is used for the planning of surgical paths, preoperative feasibility verification, and deformation and cutting of organs. The training system can perform brain surgery simulation training based on typical cases, and can complete the real-time display of the position and movement of the simulated surgical instrument according to the specific case during the training process. The visualized surgical training operation is conducive to improving the surgical operation proficiency of the physician, further shortening the surgical training cycle, and improving the success rate of later brain surgery.

[0004] In view of the above scheme, the inventors of this application have found that the above technology has at least the following technical problems: 1. The existing technology often focuses on a single dimension to evaluate trainees, and may only focus on the proficiency of surgical operations, such as simply recording the length of craniotomy time, but ignores the key role of decision-making ability in complex disease judgment and emergency response to emergencies. There is a lack of a comprehensive quantitative system that integrates multiple indicators of fine operation, decision-making, and emergency response, like the comprehensive skill evaluation value analysis model. It is impossible to accurately reflect the true level of trainees and easily lead to misjudgment of trainees' abilities. At the same time, the existing evaluation mostly relies on the subjective observation of the teaching teacher, and the evaluation standards of different teachers vary greatly. For indicators such as wound suture density and diagnostic accuracy, there is a lack of unified and objective measurement standards. It is difficult to input indicators into the model like the new system to obtain accurate results, resulting in unstable assessment of trainees' training results and affecting subsequent targeted improvement plans.

[0005] 2. Existing technologies usually arrange a fixed sequence of training projects for all trainees without considering individual differences. Skilled trainees repeat basic training, wasting time and energy; unskilled trainees face difficult projects beyond their capabilities, but due to lack of prior preparation, they have many difficulties in learning. They cannot select suitable projects based on the trainees’ last training results and skill shortcomings like the new system, and achieve accurate adaptation of training difficulty and content. When selecting advanced or supplementary training projects, there is a lack of data support, and key information such as the complexity level of the training projects and the number of past training sessions is not referenced, resulting in a high degree of arbitrariness. It is not possible to make intelligent recommendations like this system, and select high-quality projects that match the trainees’ situations and have been tested in practice from the database. The targeted nature of the training is greatly reduced, slowing down the trainees’ growth rate.

[0006] 3. When forming interdisciplinary collaborative teams, existing technologies often rely on limited experience or simple subject allocation, without in-depth analysis of the details of the assistance capabilities of students in each auxiliary subject. Adaptation indicators such as the number of cases of assistance operation effectiveness and the accuracy of key information repetition are not considered, and it is impossible to select the auxiliary students who are most suitable for the skill shortcomings of the target students through scientific calculations, which can easily lead to low collaboration fit and difficulty in exerting team advantages. Summary of the invention

[0007] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a neurosurgery brain surgery typical case record training system.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a typical case record training system for neurosurgery brain surgery, including: a historical training result analysis module: used to obtain the training indicators corresponding to the last training project of the target trainees, and then evaluate the training results corresponding to the last training project of the target trainees, and the training results include proficient and unskilled.

[0009] Suitable training project recommendation module: It is used to analyze and recommend the recommended training projects corresponding to the target students at that time according to the training results corresponding to the last training project of the target students, and recommend the recommended training projects corresponding to the target students at that time.

[0010] Interdisciplinary collaboration allocation module: used to analyze the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student in each auxiliary discipline and each skill shortcoming type after the target student has completed the training project, and then screen out the most suitable adaptable students in each auxiliary discipline corresponding to the target student, and allocate the most suitable adaptable students in each auxiliary discipline to the training project corresponding to the target student to form an interdisciplinary collaborative training team.

[0011] Preferably, the training results corresponding to the last training project of the target trainee are evaluated, and the specific evaluation process is as follows: Z1. When the last training project of the target trainee is completed, the fine operation indicators, decision-making ability indicators and emergency treatment indicators corresponding to the last training project of the target trainee are obtained, the fine operation indicators include craniotomy time, wound suture density and craniotomy incision angle deviation, the decision-making ability indicators include diagnosis decision timeliness and diagnosis accuracy, and the emergency treatment indicators include emergency response processing time and team collaboration communication efficiency. The fine operation evaluation value, decision-making ability evaluation value and emergency treatment evaluation value corresponding to the last training project of the target trainee are analyzed and recorded as , and .

[0012] Z2. Input the fine operation assessment value, decision-making ability assessment value and emergency handling assessment value corresponding to the target trainee's last training project into the comprehensive skill assessment value analysis model, and output the comprehensive skill assessment result corresponding to the target trainee's last training project.

[0013] Z3. The comprehensive skill evaluation results include values ​​of 1 and -1. When the comprehensive skill evaluation result corresponding to the target trainee’s last training item is 1, it indicates that the training result corresponding to the target trainee’s last training item is proficient. Conversely, when the comprehensive skill evaluation result corresponding to the target trainee’s last training item is -1, it indicates that the training result corresponding to the target trainee’s last training item is unskilled.

[0014] Preferably, the analysis obtains the fine operation evaluation value, decision-making ability evaluation value and emergency handling evaluation value corresponding to the target trainee's last training program. The specific analysis process is as follows: X1. Input the craniotomy duration, wound suture density and craniotomy entry angle deviation corresponding to the target trainee's last training program into the fine operation evaluation value analysis model, and output the fine operation evaluation value corresponding to the target trainee's last training program.

[0015] X2. Input the diagnostic decision timeliness and diagnostic accuracy corresponding to the target trainee's last training project into the decision-making ability assessment value analysis model, and output the decision-making ability assessment value corresponding to the target trainee's last training project.

[0016] X3. Input the emergency response processing time and team collaboration communication efficiency corresponding to the target trainees’ last training project into the emergency processing evaluation value analysis model, and output the emergency processing evaluation value corresponding to the target trainees’ last training project.

[0017] Preferably, the analysis recommends the recommended training items corresponding to the target student at that time, and the specific recommendation process is as follows: V1. If the training result corresponding to the target student's last training item is proficient, then obtain the training item complexity level corresponding to the target student's last training item, and at the same time, obtain each training item in the database that has a higher level of complexity than the training item corresponding to the target student's last training item, and record each training item in the database that has a higher level of complexity than the training item corresponding to the target student's last training item as each training item to be recommended, count the number of training times corresponding to each training item to be recommended, and recommend each training item to be recommended with the top three training times to the target student.

[0018] V2. If the training result corresponding to the target student's last training project is unskilled, then obtain the training project complexity level corresponding to the target student's last training project. At the same time, obtain the skill shortcoming type corresponding to the target student's last training project, and compare the training project complexity level and skill shortcoming type corresponding to the target student's last training project with the training project complexity level and skill shortcoming type corresponding to each training project in the database. If the training project complexity level and skill shortcoming type corresponding to the target student's last training project are the same as the training project complexity level and skill shortcoming type corresponding to a certain training project in the database, then record the training project in the database as a training project to be recommended, and then obtain each training project to be recommended, count the number of training times corresponding to each training project to be recommended, and recommend the top three training times to the target student.

[0019] Preferably, the skill shortcoming type corresponding to the target student's last training project is obtained, and the specific acquisition process is as follows: the comprehensive skill evaluation value corresponding to the target student's last training project is compared with the comprehensive skill evaluation value intervals corresponding to each skill shortcoming type in the database; if the comprehensive skill evaluation value corresponding to the target student's last training project is within the comprehensive skill evaluation value interval corresponding to a certain skill shortcoming type in the database, then the skill shortcoming type in the database is recorded as the skill shortcoming type corresponding to the target student's last training project.

[0020] Preferably, the interdisciplinary collaboration allocation module further includes a training adaptation index acquisition unit.

[0021] The training adaptation index acquisition unit is used to obtain the training adaptation index corresponding to each adaptable student and each skill shortcoming type in each current auxiliary subject. The training adaptation index includes the number of assisted operation effectiveness cases, the accuracy rate of key information repetition and the problem solving feedback cycle.

[0022] Preferably, the screening out of the most suitable adaptable students in each auxiliary discipline corresponding to the target student, the specific screening process is as follows: the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary discipline and each skill shortcoming type are arranged in order from large to small, so as to obtain the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary discipline and the skill shortcoming type of the target student's last training project, and the adaptable student corresponding to the maximum comprehensive assistance effectiveness adaptation value between the current auxiliary discipline and the skill shortcoming type of the target student's last training project is recorded as the most suitable adaptable student in each auxiliary discipline corresponding to the target student.

[0023] Preferably, the database is used to store the training item complexity level and skill shortcoming type corresponding to each training item, and the database is also used to store the comprehensive skill evaluation value interval corresponding to each skill shortcoming type.

[0024] The beneficial effects of the present invention are as follows: 1. In the embodiment of the present invention, by collecting the target trainees' last training project covering multi-dimensional indicators such as fine operation, decision-making ability and emergency treatment, such as craniotomy time, diagnostic accuracy, emergency response processing time, etc., the trainees' performance can be deeply and accurately analyzed. These indicators are converted into fine operation evaluation values, decision-making ability evaluation values ​​and emergency treatment evaluation values, and input into the comprehensive skill evaluation value analysis model. The obtained training results are highly referenceable and provide guidance for subsequent personalized training. This all-round and quantitative evaluation method for trainees' abilities is far more scientific and objective than traditional subjective judgment, and accurately locates the skill level of trainees. At the same time, according to the evaluation results, the training project recommendation module customizes exclusive training paths for trainees. If the trainee's training result is proficient, the system recommends projects with advanced difficulty, selects projects with a higher complexity level and the highest number of training times from the database, and inspires trainees to challenge high difficulty and continuously expand the boundaries of skills; if not proficient, the complexity level of the training project and the type of skill shortcomings are combined to find matching project recommendations, directly hit the weak links of the trainees, avoid ineffective training, and ensure that each training is closely centered on the trainees' needs to improve, greatly improving the efficiency and pertinence of training.

[0025] 2. The embodiment of the present invention collects data of students who can adapt to each auxiliary discipline by acquiring key indicators such as the number of cases of effective unit-focused assisted operations, the accuracy of repetition of key information, and the feedback cycle of problem solving. Find the students who are most suitable for the skill shortcomings of the target students in the last training project, so that the students of the imaging discipline stand out in the ranking of adaptation values ​​by virtue of their accurate repetition of key information in assisting diagnosis many times, and the students of the anesthesia discipline stand out in the ranking of adaptation values ​​by virtue of their rapid resolution of sudden problems during surgery with a short feedback cycle, so as to match the target students with the strongest auxiliary force. The most suitable students selected are assigned to the training projects of the target students, and an interdisciplinary collaborative training team is formed. Students with different disciplinary backgrounds complement each other's strengths. The operating room nursing students assist in fine operations, the imaging students provide accurate diagnostic suggestions, and the anesthesia students ensure safety during surgery. The integration of disciplinary knowledge is promoted in training, the real surgical scene collaboration is simulated, the comprehensive surgical ability of the students is improved, the interdisciplinary collaborative ecology of neurosurgery is optimized, and a solid foundation for clinical practice is laid.

[0026] 3. In the embodiment of the present invention, taking into account the dynamic changes in the training process, the comprehensive assistance effectiveness adaptation value is calculated regularly and the screening process is repeated. As the trainees' abilities improve and the training focus shifts, the list of the most suitable trainees is adjusted in a timely manner. For example, the initial target trainees have prominent shortcomings in fine operation, and they are assisted by operating room nursing trainees; the decision-making ability in the later stage needs to be strengthened, and after re-screening, imaging discipline trainees join the collaboration to ensure that the auxiliary force always meets the needs of the trainees and the training effect is continuously upgraded. The operation of the entire system relies on a large amount of training data, from indicator collection, evaluation to recommendation and allocation, and scientific decision-making is made with data as the cornerstone. On the one hand, by reviewing past data, key elements such as the comprehensive skill evaluation value analysis model and the weight of training adaptation indicators are continuously optimized; on the other hand, detailed feedback is provided for teaching management, such as whether the difficulty coefficient of each training project is reasonable and which subject auxiliary resources need to be allocated, so as to promote the continuous optimization and improvement of the neurosurgery training system and keep up with the pace of medical development. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the connection of the system modules of the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0030] Embodiments of the present invention Figure 1 As shown, a neurosurgery brain surgery typical case record training system includes: a historical training result analysis module, a training project recommendation module, an interdisciplinary collaboration allocation module and a database.

[0031] The combined training project recommendation module is connected to the historical training result analysis module and the interdisciplinary collaboration allocation module respectively, and the database is connected to the historical training result analysis module, the combined training project recommendation module and the interdisciplinary collaboration allocation module respectively.

[0032] Historical training result analysis module: used to obtain the training indicators corresponding to the target students' last training project, and then evaluate the training results corresponding to the target students' last training project. The training results include proficiency and unproficiency.

[0033] In a specific embodiment, the training results corresponding to the last training project of the target trainee are evaluated, and the specific evaluation process is as follows: Z1. When the last training project of the target trainee is completed, the fine operation indicators, decision-making ability indicators and emergency treatment indicators corresponding to the last training project of the target trainee are obtained, the fine operation indicators include craniotomy time, wound suture density and craniotomy incision angle deviation, the decision-making ability indicators include diagnosis decision timeliness and diagnosis accuracy, and the emergency treatment indicators include emergency response processing time and team collaboration communication efficiency. The fine operation evaluation value, decision-making ability evaluation value and emergency treatment evaluation value corresponding to the last training project of the target trainee are analyzed and recorded as , and .

[0034] It should be noted that in the training project, the time node when the craniotomy operation starts and the time node when the craniotomy is completed are clearly recorded. The subtraction of the two can be used to obtain the craniotomy duration. You can use professional timing equipment or the timing function in the training system to ensure the accuracy of time recording. Use professional measuring tools to measure the distance between each suture on the wound and calculate the average spacing. At the same time, record the number of sutures and quantify the suture density by the ratio of the number of needles to the length of the wound. Before training, determine the ideal craniotomy entry angle based on the condition and surgical requirements of the simulated case, and mark it on the simulated surgical instrument or related model. During the operation, use the angle measurement tool to measure the actual craniotomy entry angle in real time, calculate the difference with the ideal angle, and obtain the deviation.

[0035] It should also be noted that the time from the time when the simulated patient's symptoms appear or the relevant examination results are given to the time when the trainee makes a clear diagnosis is the diagnostic decision time. The training system can automatically record these time nodes, and compare the trainee's diagnostic results with the correct diagnostic results of the simulated cases preset in the training project one by one, and calculate the proportion of the number of accurately diagnosed cases to the total number of cases, which is the diagnostic accuracy rate.

[0036] Once again, it is necessary to explain that various emergency events are simulated during the training process, such as massive bleeding during surgery and damage to important organs. The time is counted from the moment the emergency event occurs to the time when the trainees take effective response measures and bring the situation under initial control. This is recorded as the emergency response processing time. During the training process, a special person is arranged to observe the communication between trainees' teams, including the timeliness, accuracy, and completeness of information transmission, as well as whether the communication method is appropriate, and make detailed records. Through questionnaires, the trainees' subjective feelings and evaluations on team collaboration and communication are collected to understand the problems and difficulties they encounter in communication. At the same time, the trainees are asked to conduct self-evaluation and reflect on their performance and communication efficiency in team collaboration.

[0037] Z2. Input the fine operation assessment value, decision-making ability assessment value and emergency handling assessment value corresponding to the target trainee's last training project into the comprehensive skill assessment value analysis model, and output the comprehensive skill assessment result corresponding to the target trainee's last training project.

[0038] Z3. The comprehensive skill evaluation results include values ​​of 1 and -1. When the comprehensive skill evaluation result corresponding to the target trainee’s last training item is 1, it indicates that the training result corresponding to the target trainee’s last training item is proficient. Conversely, when the comprehensive skill evaluation result corresponding to the target trainee’s last training item is -1, it indicates that the training result corresponding to the target trainee’s last training item is unskilled.

[0039] In another specific embodiment, the expression of the comprehensive skill evaluation value analysis model is: , where, Indicates the comprehensive skill evaluation result corresponding to the last training item of the target trainee. is the threshold of comprehensive skill evaluation value, where , , They are the standard fine operation assessment value, standard decision-making ability assessment value, and standard emergency response assessment value corresponding to the last training project of the target trainees. , , They are the weight factors corresponding to the final training item fine operation evaluation value of the target trainees, the weight factors corresponding to the decision-making ability evaluation value, and the weight factors corresponding to the emergency handling evaluation value. , , They are the adjustment factors corresponding to the final training item fine operation evaluation value of the target trainees, the adjustment factors corresponding to the decision-making ability evaluation value, and the adjustment factors corresponding to the emergency handling evaluation value. represents a natural constant, , , They are respectively the difference in assessment value of fine operation of the last training item of the trainees according to the set licensing targets, the difference in assessment value of licensing decision-making ability, and the difference in assessment value of licensing emergency handling.

[0040] It should be noted that , , Both are greater than 0 and less than 1.

[0041] It should also be noted that the level of each operation and ability that should be achieved under ideal conditions should be determined by referring to the professional guidelines, industry standards and best practices in the field of neurosurgery. For the duration of craniotomy, the standard value can be set according to the average time calculated by a large amount of clinical data or the reasonable time range of expert consensus based on different types of surgeries and patient conditions; for the wound suture density, the suture spacing and number of needles that meet medical standards can be determined as standard evaluation values ​​based on factors such as the location, size and healing requirements of the wound; for the timeliness and accuracy of diagnostic decisions, the common diagnostic time and accuracy data summarized in the diagnostic guidelines of different diseases and clinical studies can be used to set them, and an evaluation team including neurosurgery experts, medical education experts, and evaluation experts can be organized. After discussion, the team members selected appropriate weight factors, formulated a weight factor judgment table and a weight factor calculation statistical table. Then, each expert compared the row factors and column factors based on their professional knowledge and experience and filled in the weight factor judgment table. Finally, the results filled in by the experts are counted, and the weight factor calculation statistics table is filled in and converted into the weight factor of each indicator. The performance data of previous students in the same or similar training projects are analyzed to find out the common fluctuation range and influencing factors of each evaluation indicator. Based on these historical data, combined with the group characteristics and training requirements of the current students, reasonable adjustment factors are set.

[0042] In another specific embodiment, the analysis obtains the fine operation evaluation value, decision-making ability evaluation value and emergency treatment evaluation value corresponding to the target trainee's last training project. The specific analysis process is as follows: X1. The craniotomy duration, wound suture density and craniotomy entry angle deviation corresponding to the target trainee's last training project are input into the fine operation evaluation value analysis model, and the fine operation evaluation value corresponding to the target trainee's last training project is output.

[0043] It should be noted that the analysis process of the fine operation evaluation value corresponding to the last training project of the target trainee is as follows: the craniotomy time, wound suture density and craniotomy incision angle deviation corresponding to the last training project of the target trainee are normalized, and the craniotomy time, wound suture density and craniotomy incision angle deviation corresponding to the last training project of the target trainee after processing are recorded as , and , substitute into the analytical formula , get the fine operation evaluation value corresponding to the last training item of the target trainee .

[0044] X2. Input the diagnostic decision timeliness and diagnostic accuracy corresponding to the target trainee's last training project into the decision-making ability assessment value analysis model, and output the decision-making ability assessment value corresponding to the target trainee's last training project.

[0045] It should be noted that the decision-making ability evaluation value corresponding to the target trainee's last training project is obtained by analyzing according to the analysis process of the fine operation evaluation value corresponding to the target trainee's last training project.

[0046] X3. Input the emergency response processing time and team collaboration communication efficiency corresponding to the target trainees’ last training project into the emergency processing evaluation value analysis model, and output the emergency processing evaluation value corresponding to the target trainees’ last training project.

[0047] It should be noted that the emergency handling evaluation value corresponding to the target trainee's last training item is obtained by analyzing according to the analysis process of the fine operation evaluation value corresponding to the target trainee's last training item.

[0048] Suitable training project recommendation module: It is used to analyze and recommend the recommended training projects corresponding to the target students at that time according to the training results corresponding to the last training project of the target students, and recommend the recommended training projects corresponding to the target students at that time.

[0049] In a specific embodiment, the analysis recommends the recommended training items corresponding to the target student at that time, and the specific recommendation process is as follows: V1. If the training result corresponding to the target student's last training item is proficient, then obtain the complexity level of the training item corresponding to the target student's last training item, and at the same time, obtain each training item in the database that has a higher complexity level than the training item corresponding to the target student's last training item, and record each training item in the database that has a higher complexity level than the training item corresponding to the target student's last training item as each training item to be recommended, count the number of training times corresponding to each training item to be recommended, and recommend each training item to be recommended with the top three training times to the target student.

[0050] V2. If the training result corresponding to the target student's last training project is unskilled, then obtain the training project complexity level corresponding to the target student's last training project. At the same time, obtain the skill shortcoming type corresponding to the target student's last training project, and compare the training project complexity level and skill shortcoming type corresponding to the target student's last training project with the training project complexity level and skill shortcoming type corresponding to each training project in the database. If the training project complexity level and skill shortcoming type corresponding to the target student's last training project are the same as the training project complexity level and skill shortcoming type corresponding to a certain training project in the database, then record the training project in the database as a training project to be recommended, and then obtain each training project to be recommended, count the number of training times corresponding to each training project to be recommended, and recommend the top three training times to the target student.

[0051] In another specific embodiment, the skill shortcoming type corresponding to the target student's last training project is obtained, and the specific acquisition process is as follows: the comprehensive skill evaluation value corresponding to the target student's last training project is compared with the comprehensive skill evaluation value interval corresponding to each skill shortcoming type in the database; if the comprehensive skill evaluation value corresponding to the target student's last training project is within the comprehensive skill evaluation value interval corresponding to a certain skill shortcoming type in the database, then the skill shortcoming type in the database is recorded as the skill shortcoming type corresponding to the target student's last training project.

[0052] Interdisciplinary collaboration allocation module: used to analyze the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student in each auxiliary discipline and each skill shortcoming type after the target student has completed the training project, and then screen out the most suitable adaptable students in each auxiliary discipline corresponding to the target student, and allocate the most suitable adaptable students in each auxiliary discipline to the training project corresponding to the target student to form an interdisciplinary collaborative training team.

[0053] In a specific embodiment, the interdisciplinary collaboration allocation module also includes a training adaptation indicator acquisition unit.

[0054] The training adaptation index acquisition unit is used to obtain the training adaptation index corresponding to each adaptable student and each skill shortcoming type in each current auxiliary subject. The training adaptation index includes the number of assisted operation effectiveness cases, the accuracy rate of key information repetition and the problem solving feedback cycle.

[0055] It should be noted that a special learning file is established for each adaptable student to record all operational practice cases related to the improvement of skill shortcomings in the process of auxiliary subject learning. The background, objectives, operation process, results and other information of the case are recorded in detail to accurately count and evaluate the number of effective cases, formulate regular assessment plans, and conduct key information repetition tests on adaptable students. Using various forms such as written tests, oral questions and answers, and information application in actual operations, students are required to accurately repeat the core concepts, important principles, key steps and other information in the auxiliary subjects they have learned, and then calculate the accuracy rate based on the standard answers or scoring standards, and use the data query function in the teaching management system to obtain the time data of student problem feedback and teacher response. The system can automatically record the time when students submit questions and the time when teachers process and respond to questions. Through data screening and analysis, statistical results of the problem-solving feedback cycle are obtained.

[0056] In another specific embodiment, the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student and each skill short board type in each auxiliary subject is analyzed. The specific analysis process is as follows: the number of assistance operation effectiveness cases, the accuracy rate of key information repetition and the problem solving feedback cycle corresponding to each adaptable student and each skill short board type in each auxiliary subject are recorded as , and , where q represents the number corresponding to each auxiliary subject, , a is any integer greater than 2, a represents the collection of auxiliary subjects, w represents the number corresponding to each adaptable student, , b is any integer greater than 2, b represents the set of adaptable students, r represents the number corresponding to each skill shortcoming type, , c is any integer greater than 2, c represents the set of skill short board types, substitute into the calculation formula: In the current auxiliary disciplines, the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student and each skill short board type is obtained. ,in, , and They are the number of standard assistance operation effectiveness cases, standard key information repetition accuracy, and standard problem solving feedback cycle that can be adapted to students and skill deficiency types in the set auxiliary subjects. , , They are the weight factors corresponding to the number of effective cases of assisted operations that can be adapted to students and skill shortcoming types in the set auxiliary disciplines, the weight factors corresponding to the accuracy of repetition of key information, and the weight factors corresponding to the problem-solving feedback cycle.

[0057] It should be noted that , , Both are greater than 0 and less than 1.

[0058] It is also necessary to check the standards and specifications of the relevant industry and the recognized best practices in the field to understand the standards of assistance operation effectiveness that auxiliary disciplines should achieve for different skill shortcomings at the professional level, analyze the characteristics of the knowledge system and key information involved in the auxiliary disciplines, and determine the importance and repetition requirements of different parts of information. For important information such as core concepts and key principles, the standard for the accuracy of repetition should be relatively high; while for some auxiliary or extended information, the standard can be appropriately lowered, classify and evaluate the problems involved in different types of skill shortcomings, set corresponding standard problem solving feedback cycles according to the complexity and urgency of the problems, and organize relevant experts, teachers or professionals to evaluate the importance of the number of assistance operation effectiveness cases in reflecting the effect of auxiliary disciplines on improving students' skill shortcomings. Scoring or ranking can be used to determine their relative importance, and then assign corresponding weight factors according to the importance.

[0059] In another specific embodiment, the screening out of the most suitable adaptable students in each auxiliary discipline corresponding to the target student, the specific screening process is as follows: the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary discipline and each skill shortcoming type are arranged in order from large to small, so as to obtain the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary discipline and the skill shortcoming type of the target student's last training project, and the adaptable student corresponding to the maximum comprehensive assistance effectiveness adaptation value between the current auxiliary discipline and the skill shortcoming type of the target student's last training project is recorded as the most suitable adaptable student in each auxiliary discipline corresponding to the target student.

[0060] In a specific embodiment, the database is used to store the training item complexity level and skill shortcoming type corresponding to each training item, and the database is also used to store the comprehensive skill evaluation value interval corresponding to each skill shortcoming type.

[0061] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A neurosurgery brain surgery typical case record training system, characterized in that: include: Historical training result analysis module: used to obtain the training indicators corresponding to the last training project of the target students, and then evaluate the training results corresponding to the last training project of the target students. The training results include proficiency and unproficiency. The training project recommendation module is used to analyze and recommend the recommended training projects corresponding to the target students at that time according to the training results corresponding to the last training project of the target students, and recommend the recommended training projects corresponding to the target students at that time; Interdisciplinary collaboration allocation module: used to analyze the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student in each auxiliary discipline and each skill shortcoming type after the target student has completed the training project, and then screen out the most suitable adaptable students in each auxiliary discipline corresponding to the target student, and allocate the most suitable adaptable students in each auxiliary discipline to the training project corresponding to the target student to form an interdisciplinary collaborative training team.

2. A neurosurgery brain surgery typical case history training system as claimed in claim 1, characterized in that: The training results of the last training project of the evaluation target trainee are as follows: Z1. When the target trainee completes the last training project, obtain the fine operation index, decision-making ability index and emergency treatment index corresponding to the last training project of the target trainee. The fine operation index includes craniotomy duration, wound suture density and craniotomy incision angle deviation. The decision-making ability index includes diagnosis decision timeliness and diagnosis accuracy. The emergency treatment index includes emergency response processing time and team collaboration communication efficiency. The fine operation evaluation value, decision-making ability evaluation value and emergency treatment evaluation value corresponding to the last training project of the target trainee are analyzed and recorded as , and ; Z2. Input the fine operation evaluation value, decision-making ability evaluation value and emergency handling evaluation value corresponding to the target trainee's last training project into the comprehensive skill evaluation value analysis model, and output the comprehensive skill evaluation result corresponding to the target trainee's last training project; Z3. The comprehensive skill evaluation results include values ​​of 1 and -1. When the comprehensive skill evaluation result corresponding to the target trainee’s last training item is 1, it indicates that the training result corresponding to the target trainee’s last training item is proficient. Conversely, when the comprehensive skill evaluation result corresponding to the target trainee’s last training item is -1, it indicates that the training result corresponding to the target trainee’s last training item is unskilled.

3. A neurosurgery brain surgery typical case history training system as claimed in claim 2, characterized in that: The expression of the comprehensive skill evaluation value analysis model is: , where, Indicates the comprehensive skill evaluation result corresponding to the last training item of the target trainee. is the threshold of comprehensive skill evaluation value, where , , They are the standard fine operation assessment value, standard decision-making ability assessment value, and standard emergency response assessment value corresponding to the last training project of the target trainees. , , They are the weight factors corresponding to the final training item fine operation evaluation value of the target trainees, the weight factors corresponding to the decision-making ability evaluation value, and the weight factors corresponding to the emergency handling evaluation value. , , They are the adjustment factors corresponding to the final training item fine operation evaluation value of the target trainees, the adjustment factors corresponding to the decision-making ability evaluation value, and the adjustment factors corresponding to the emergency handling evaluation value. represents a natural constant, , , They are respectively the difference in assessment value of fine operation of the last training item of the trainees according to the set licensing targets, the difference in assessment value of licensing decision-making ability, and the difference in assessment value of licensing emergency handling.

4. A neurosurgery brain surgery typical case history training system as claimed in claim 3, characterized in that: The analysis obtains the fine operation evaluation value, decision-making ability evaluation value and emergency handling evaluation value corresponding to the last training item of the target trainee. The specific analysis process is as follows: X1. Input the craniotomy duration, wound suture density and craniotomy incision angle deviation corresponding to the target trainee's last training project into the fine operation evaluation value analysis model, and output the fine operation evaluation value corresponding to the target trainee's last training project; X2. Input the diagnostic decision timeliness and diagnostic accuracy corresponding to the target trainee's last training project into the decision-making ability evaluation value analysis model, and output the decision-making ability evaluation value corresponding to the target trainee's last training project; X3. Input the emergency response processing time and team collaboration communication efficiency corresponding to the target trainees’ last training project into the emergency processing evaluation value analysis model, and output the emergency processing evaluation value corresponding to the target trainees’ last training project.

5. A neurosurgery brain surgery typical case history training system as claimed in claim 4, characterized in that: The analysis recommends the recommended training items corresponding to the target students at that time. The specific recommendation process is as follows: V1. If the training result corresponding to the last training item of the target student is proficient, then obtain the complexity level of the training item corresponding to the last training item of the target student, and at the same time, obtain each training item in the database that has a higher complexity level than the training item corresponding to the last training item of the target student, and record each training item in the database that has a higher complexity level than the training item corresponding to the last training item of the target student as each training item to be recommended, count the number of training times corresponding to each training item to be recommended, and recommend each training item to be recommended with the top three training times to the target student; V2. If the training result corresponding to the target student's last training project is unskilled, then obtain the training project complexity level corresponding to the target student's last training project. At the same time, obtain the skill shortcoming type corresponding to the target student's last training project, and compare the training project complexity level and skill shortcoming type corresponding to the target student's last training project with the training project complexity level and skill shortcoming type corresponding to each training project in the database. If the training project complexity level and skill shortcoming type corresponding to the target student's last training project are the same as the training project complexity level and skill shortcoming type corresponding to a certain training project in the database, then record the training project in the database as a training project to be recommended, and then obtain each training project to be recommended, count the number of training times corresponding to each training project to be recommended, and recommend the top three training times to the target student.

6. A neurosurgery brain surgery typical case history training system as claimed in claim 5, characterized in that: The specific process of obtaining the skill shortcoming type corresponding to the last training item of the target trainee is as follows: The comprehensive skill evaluation value corresponding to the target student's last training item is compared with the comprehensive skill evaluation value range corresponding to each skill shortcoming type in the database. If the comprehensive skill evaluation value corresponding to the target student's last training item is within the comprehensive skill evaluation value range corresponding to a certain skill shortcoming type in the database, then the skill shortcoming type in the database is recorded as the skill shortcoming type corresponding to the target student's last training item.

7. A neurosurgery brain surgery typical case history training system as claimed in claim 6, characterized in that: The interdisciplinary collaboration allocation module also includes a training adaptation index acquisition unit; The training adaptation index acquisition unit is used to obtain the training adaptation index corresponding to each adaptable student and each skill shortcoming type in each current auxiliary subject. The training adaptation index includes the number of assisted operation effectiveness cases, the accuracy rate of key information repetition and the problem solving feedback cycle.

8. A neurosurgery brain surgery typical case history training system as claimed in claim 7, characterized in that: The analysis of the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student and each skill short board type in each auxiliary subject is as follows: The number of assistance operation effectiveness cases, key information retelling accuracy and problem solving feedback cycle corresponding to each adaptable student and each skill short board type in each auxiliary subject are recorded as , and , where q represents the number corresponding to each auxiliary subject, , a is any integer greater than 2, a represents the collection of auxiliary subjects, w represents the number corresponding to each adaptable student, , b is any integer greater than 2, b represents the set of adaptable students, r represents the number corresponding to each skill shortcoming type, , c is any integer greater than 2, c represents the set of skill short board types, substitute into the calculation formula: In the current auxiliary disciplines, the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student and each skill short board type is obtained. ,in, , and They are the number of standard assistance operation effectiveness cases, standard key information repetition accuracy, and standard problem solving feedback cycle that can be adapted to students and skill deficiency types in the set auxiliary subjects. , , They are the weight factors corresponding to the number of effective cases of assisted operations that can be adapted to students and skill shortcoming types in the set auxiliary disciplines, the weight factors corresponding to the accuracy of repetition of key information, and the weight factors corresponding to the problem-solving feedback cycle.

9. A neurosurgery brain surgery typical case history training system as claimed in claim 8, characterized in that: The most suitable students in each auxiliary subject corresponding to the target student are screened out, and the specific screening process is as follows: Arrange the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary disciplines and each skill shortcoming type in order from large to small, so as to obtain the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student in the current auxiliary disciplines and the skill shortcoming type of the target student's last training project, and record the adaptable student corresponding to the maximum comprehensive assistance effectiveness adaptation value between the current auxiliary disciplines and the skill shortcoming type of the target student's last training project as the most suitable adaptable student in each auxiliary discipline corresponding to the target student.

10. A neurosurgery brain surgery typical case history training system as claimed in claim 9, characterized in that: The database is used to store the training item complexity level and skill shortcoming type corresponding to each training item, and the database is also used to store the comprehensive skill evaluation value interval corresponding to each skill shortcoming type.

Images