A typical neurosurgical brain surgery medical record training system

Abstract

The application discloses a neurosurgery brain operation typical medical record training system and relates to the technical field of neurosurgery brain operation training. The system considers dynamic changes in the training process, regularly calculates a comprehensive assistance effect adaptation value, and repeatedly screens a process. With the improvement of the ability of trainees, the shift of training focus, and the timely adjustment of the most adaptive trainee list, for example, the short board of fine operation of the initial target trainee is prominent, and the operating room nursing trainee focuses on assistance. In the later stage, the decision-making ability needs to be strengthened, and after re-screening, the imaging science trainee joins the cooperation, so that the assistance force always matches the needs of the trainees, and the training effect is continuously upgraded. The whole system operation relies on a large amount of training data, and each link from index collection, evaluation to recommendation and distribution is based on data as the cornerstone of scientific decision-making. On the one hand, through the review of past data, the comprehensive skill evaluation value analysis model, the training adaptation index weight and other key elements are continuously optimized.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of neurosurgery brain surgery training, and particularly relates to a neurosurgery brain surgery typical case training system. BACKGROUND

[0002] Nowadays, neurosurgery is extremely difficult, and requires high precision operation, timely decision-making, and efficient emergency handling of doctors. However, the traditional neurosurgery talent training mode has many problems. In teaching, it relies on apprenticeship and a small amount of clinical practice, and the evaluation of students relies on the subjective observation of teachers, lacking quantitative indicators. For example, only the craniotomy time is considered for fine operation, and other key details are ignored; there is no standard for decision-making and emergency response evaluation, so it is difficult to know the true level of students, and it is difficult to develop targeted training plans. Therefore, a neurosurgery brain surgery typical case training system is needed.

[0003] The prior art such as the invention application patent disclosed in CN117636723A discloses a neurosurgery brain surgery typical case training system, which relates to the technical field of surgical training, especially a neurosurgery brain surgery typical case training system, comprising a surgical training platform, a data communication module and a training software. The surgical training platform includes a simulated surgical instrument with 6 degrees of freedom and a human brain three-dimensional model. The surgical operation of the human brain three-dimensional model is performed by changing the degrees of freedom of the simulated surgical instrument. The human brain three-dimensional model simulates the tissues and organs of the human brain, and is used for planning the surgical path, verifying the feasibility before the operation, and deforming and cutting the organs. The training system can simulate brain surgery training based on typical cases, and can display the position and action of the simulated surgical instrument in real time during the training process. The visualized surgical training operation is beneficial to improve the surgical operation proficiency of doctors, further shortens the surgical training period, and improves the success rate of later brain surgery.

[0004] For the above-mentioned scheme, the present application found that the above-mentioned technology at least has the following technical problems: 1. The existing technology often focuses on single dimension evaluation of students, and may only focus on surgical operation proficiency, such as simply recording the length of craniotomy time, but ignoring the key role of decision-making ability in complex condition judgment and emergency handling of unexpected situations. There is no comprehensive quantitative system that integrates fine operation, decision-making, and emergency indicators like comprehensive skill evaluation value analysis model, which cannot accurately reflect the true level of students, and is easy to misjudge the ability of students. At the same time, the existing evaluation relies on the subjective observation of the teachers, and the evaluation standards of different teachers are different. For indicators such as suture density and diagnosis accuracy, there is a lack of unified and objective measurement scale, it is difficult to input the indicators into the model to obtain accurate results like the new system, resulting in unstable evaluation of students' training results, which affects the subsequent targeted improvement plan.

[0005] 2. Existing technologies usually arrange a fixed sequence of training programs for all students without considering individual differences. Skilled students repeat basic training, wasting time and energy; unskilled students face difficult programs beyond their capabilities due to a lack of prior preparation, making it difficult to learn. They are unable to screen suitable programs based on the students' last training results and skill shortcomings, as the new system does, to accurately adapt the difficulty and content of training. When selecting advanced or supplementary training programs, there is a lack of data support, and key information such as the complexity level of the training program and the number of previous training sessions is not referenced, resulting in a high degree of arbitrariness. It is unable to make intelligent recommendations like this system, screening high-quality programs that match the students' situations and have been tested in practice from the database. The targeted nature of the training is greatly reduced, slowing down the students' growth rate.

[0006] 3. Existing technologies often rely on limited experience or simple subject assignments when forming interdisciplinary collaborative teams, without in-depth analysis of the detailed support capabilities of students in each supporting discipline. They fail to consider adaptation metrics such as the number of successful cases of assisted operation and the accuracy of key information recitation. This makes it impossible to scientifically select support students who best match the target students' skill gaps, resulting in low collaborative fit and difficulty in leveraging team strengths. 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 history 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 history 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 trainee, and then evaluate the training results corresponding to the last training project of the target trainee, and the training results include proficiency and unskillfulness.

[0009] The training program recommendation module is used to analyze and recommend the recommended training programs for the target students at that time based on the training results of the target students' last training program, and recommend the recommended training programs for the target students at that time.

[0010] Interdisciplinary collaboration allocation module: After the target students have completed their training program selection, it is used to analyze the comprehensive assistance effectiveness adaptation values ​​corresponding to each applicable student in each auxiliary discipline and each skill shortcoming type, and then select the most applicable students in each auxiliary discipline corresponding to the target students, and assign the most applicable students in each auxiliary discipline to the training program corresponding to the target students to form an interdisciplinary collaborative training team.

[0011] Preferably, the evaluation target trainee last training project corresponding training results, the specific evaluation process is as follows: Z1, when the target trainee last training project is completed, the fine operation index corresponding to the target trainee last training project, the decision-making ability index and the emergency handling index are obtained, the fine operation index includes the craniotomy time, the wound suture density and the craniotomy cutting angle deviation amount, the decision-making ability index includes the diagnosis decision-making time limit and the diagnosis accuracy, the emergency handling index includes the emergency response processing time and the team cooperation communication efficiency, the fine operation evaluation value corresponding to the target trainee last training project, the decision-making ability evaluation value and the emergency handling evaluation value are obtained by analysis, and the fine operation evaluation value corresponding to the target trainee last training project, the decision-making ability evaluation value and the emergency handling evaluation value are respectively marked as A, B and C.

[0012] Z2, the fine operation evaluation value corresponding to the target trainee last training project, the decision-making ability evaluation value and the emergency handling evaluation value are input into the comprehensive skill evaluation value analysis model, and the comprehensive skill evaluation result corresponding to the target trainee last training project is output.

[0013] Z3, the comprehensive skill evaluation result includes the numerical value of 1 and-1, when the comprehensive skill evaluation result corresponding to the target trainee last training project is 1, it indicates that the training result corresponding to the target trainee last training project is skilled, otherwise, when the comprehensive skill evaluation result corresponding to the target trainee last training project is-1, it indicates that the training result corresponding to the target trainee last training project is unskilled.

[0014] Preferably, the analysis obtains the fine operation evaluation value corresponding to the target trainee last training project, the decision-making ability evaluation value and the emergency handling evaluation value, and the specific analysis process is as follows: X1, the craniotomy time, the wound suture density and the craniotomy cutting angle deviation amount corresponding to the target trainee last training project are input into the fine operation evaluation value analysis model, and the fine operation evaluation value corresponding to the target trainee last training project is output.

[0015] X2, the diagnosis decision-making time limit and the diagnosis accuracy corresponding to the target trainee last training project are input into the decision-making ability evaluation value analysis model, and the decision-making ability evaluation value corresponding to the target trainee last training project is output.

[0016] X3, the emergency response processing time and the team cooperation communication efficiency corresponding to the target trainee last training project are input into the emergency handling evaluation value analysis model, and the emergency handling evaluation value corresponding to the target trainee last training project is output.

[0017] Preferably, the analysis recommendation corresponds to the recommended training project of the next target student, and the specific recommendation process is as follows: V1, if the training result of the last training project of the target student is skilled, the training project complexity level corresponding to the last training project of the target student is obtained, at the same time, each training project with a training project complexity level one higher than that of the last training project of the target student in the database is obtained, and each training project with a training project complexity level one higher than that of the last training project of the target student in the database is recorded as each training project to be recommended, the training times corresponding to each training project to be recommended are counted, and the top three training projects to be recommended are recommended to the target student.

[0018] V2, if the training result of the last training project of the target student is unskilled, the training project complexity level corresponding to the last training project of the target student is obtained, at the same time, the skill short board type corresponding to the last training project of the target student is obtained, and the training project complexity level and the skill short board type corresponding to the last training project of the target student are compared with the training project complexity level and the skill short board type corresponding to each training project in the database, if the training project complexity level and the skill short board type corresponding to the last training project of the target student correspond to the training project complexity level and the skill short board type corresponding to a training project in the database, the training project in the database is recorded as a training project to be recommended, and each training project to be recommended is obtained, the training times corresponding to each training project to be recommended are counted, and the top three training projects to be recommended are recommended to the target student.

[0019] Preferably, the skill short board type corresponding to the last training project of the target student is obtained, and the specific obtaining process is as follows: the comprehensive skill evaluation value corresponding to the last training project of the target student is compared with the comprehensive skill evaluation value interval corresponding to each skill short board type in the database, if the comprehensive skill evaluation value corresponding to the last training project of the target student is located in the comprehensive skill evaluation value interval corresponding to a skill short board type in the database, the skill short board type in the database is recorded as the skill short board type corresponding to the last training project of the target student.

[0020] Preferably, the cross-disciplinary collaboration distribution module further comprises a training adaptation index obtaining unit.

[0021] The training adaptation index obtaining unit is used to obtain the training adaptation index corresponding to each adaptable student and each skill short board type in each auxiliary discipline, and the training adaptation index comprises the number of assistance operation effectiveness cases, the key information repetition accuracy rate and the problem solving feedback period.

[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. By collecting multi-dimensional indicators from target trainees' final training project, covering fine manipulation, decision-making ability, and emergency response, such as craniotomy duration, diagnostic accuracy, and emergency response time, the present invention enables in-depth and precise analysis of trainee performance. These indicators are converted into fine manipulation assessment values, decision-making ability assessment values, and emergency response assessment values, and then input into a comprehensive skill assessment analysis model. The resulting training results are highly informative and provide guidance for subsequent personalized training. This comprehensive, quantitative assessment of trainees' abilities is far more scientific and objective than traditional subjective judgments, accurately identifying trainees' skill levels. Furthermore, based on the assessment results, a training project recommendation module customizes a customized training path for the trainee. If the trainee's training result is proficient, the system recommends projects of higher difficulty by selecting projects with a higher complexity level and the most frequent training from a database, encouraging the trainee to challenge higher levels and continuously expand their skill boundaries. If the trainee is not proficient, the system combines the complexity level of the training project with the type of skill weakness to identify matching project recommendations, directly targeting the trainee's weaknesses and avoiding ineffective training. This ensures that each training session is closely aligned with the trainee's improvement needs, significantly improving training efficiency and targeting.

[0025] 2、The embodiment of the application, by acquiring unit focus on the operation effectiveness case number, key information repetition accuracy and problem solving feedback cycle and other key indicators, collect each auxiliary discipline can adapt to student data. Find the most suitable student for the skill short board type of the target student last training project, so that the radiology student can repeat the key information accurately with the help of multiple diagnosis, the anesthesiology student can solve the problem in the operation quickly and the feedback cycle is short, and stand out in the adaptation value sorting, so as to match the strongest auxiliary force to the target student. The most suitable student selected is assigned to the target student training project, and a cross-disciplinary collaboration training team is formed. The students of different disciplines complement each other, the operating room nursing students assist in fine operation, the imaging students provide accurate diagnosis suggestions, and the anesthesiology students ensure the safety in the operation, promote the fusion of discipline knowledge in training, simulate the real operation scene cooperation, improve the comprehensive operation ability of students, and optimize the cross-disciplinary cooperation ecology of neurosurgery, and lay a solid foundation for clinical practice.

[0026] 3、The embodiment of the application, considering the dynamic change of the training process, regularly calculates the comprehensive assistance effectiveness adaptation value, and repeats the screening process. With the improvement of the ability of students, the training focus shifts, and the most suitable student list is adjusted in time. For example, the fine operation short board of the target student is prominent at the beginning, and the operating room nursing student is mainly assisted; the decision-making ability needs to be strengthened in the later period, and the imaging student joins the cooperation after re-screening, so that the auxiliary force always meets the needs of the students and ensures the continuous upgrading of the training effect. The whole system operation relies on a large amount of training data, from index collection, evaluation to recommendation, distribution of each link, and scientific decision-making based on data. On the one hand, through the review of past data, the comprehensive skill evaluation value analysis model, training adaptation index weight and other key elements 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, which discipline auxiliary resources need to be adjusted, and the neurosurgery training system is continuously optimized and improved, keeping pace with the development of medicine. BRIEF DESCRIPTION OF DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, a brief introduction will be given below to the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0028] Figure 1 It is a schematic diagram of the system module connection of the application. DETAILED DESCRIPTION

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0030] The present invention is implemented as follows 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 student's last training project, and then evaluate the training results corresponding to the target student's last training project. The training results include proficiency and unskillfulness.

[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 diagnostic decision timeliness and diagnostic 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 A, B and C respectively.

[0034] It should be noted that in the training program, 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 also needs to be explained that, from the time point given by the appearance of the patient's symptoms or related examination results, to the time when the student makes a definite diagnosis, this time is the diagnosis decision-making time. The training system can automatically record these time nodes, compare the student's diagnosis results with the correct diagnosis results of the simulation cases preset in the training project, and calculate the proportion of the number of accurate diagnosis cases to the total number of cases, which is the diagnosis accuracy.

[0036] Again, it needs to be explained that in the training process, various emergency events are simulated, such as massive bleeding and important organ damage during surgery. From the time of the emergency event, to the time when the student takes effective measures and controls the situation, the time is recorded as the emergency response processing time. In the training process, special personnel are arranged to observe the communication between the student team, including the timeliness, accuracy, completeness of information transmission, and whether the communication method is appropriate, and make detailed records. Through questionnaire survey, the subjective feelings and evaluation of the students on team cooperation and communication are collected, and the problems and difficulties encountered in communication are understood. At the same time, the students are asked to evaluate themselves, reflect on their performance and communication efficiency in team cooperation.

[0037] Z2, input the fine operation evaluation value, decision-making ability evaluation value and emergency handling evaluation value corresponding to the last training project of the target student into the comprehensive skill evaluation value analysis model, and output the comprehensive skill evaluation result corresponding to the last training project of the target student.

[0038] Z3, the comprehensive skill evaluation result includes the values of 1 and -1. When the comprehensive skill evaluation result corresponding to the last training project of the target student is 1, it means that the training result corresponding to the last training project of the target student is skilled, otherwise, when the comprehensive skill evaluation result corresponding to the last training project of the target student is -1, it means that the training result corresponding to the last training project of the target student is unskilled.

[0039] In another specific embodiment, the expression of the comprehensive skill evaluation value analysis model is: In the formula, wherein, a represents the comprehensive skill evaluation value result corresponding to the last training project of the target trainee, λ' is the set comprehensive skill evaluation value threshold, A', B', C' are respectively the set standard fine operation evaluation value, standard decision-making ability evaluation value, standard emergency handling evaluation value corresponding to the last training project of the target trainee, Ξ1, Ξ2, Ξ3 are respectively the set weight factor corresponding to the fine operation evaluation value, the weight factor corresponding to the decision-making ability evaluation value, the weight factor corresponding to the emergency handling evaluation value of the last training project of the target trainee, Ω1, Ω2, Ω3 are respectively the set adjustment factor corresponding to the fine operation evaluation value, the adjustment factor corresponding to the decision-making ability evaluation value, the adjustment factor corresponding to the emergency handling evaluation value of the last training project of the target trainee, ΔA, ΔB, ΔC are respectively the set permitted fine operation evaluation value difference, the permitted decision-making ability evaluation value difference, and the permitted emergency handling evaluation value difference of the last training project of the target trainee.

[0040] It should be noted that Ξ1, Ξ2, Ξ3 are all greater than 0 and less than 1.

[0041] It should also be noted that according to the professional guidelines, industry standards and best operation specifications in the field of neurosurgery, the level that each operation and ability should reach in the ideal state is determined. For the duration of craniotomy, the standard value can be set according to the average time or reasonable time range of expert consensus based on a large amount of clinical data statistics according to different types of surgery and patient conditions; for the wound suture density, the suture interval and needle number range that meet the medical standard can be determined as the standard evaluation value according to factors such as the location, size and healing requirements of the wound; for the diagnosis decision-making timeliness and accuracy, the common diagnosis time and accuracy data can be set by referring to the diagnosis guidelines and clinical research of different diseases, and an evaluation group including neurosurgery experts, medical education experts, evaluation experts, etc. is organized. After discussion, the group members select appropriate weight factors, develop a weight factor judgment table and a weight factor calculation and statistics table. Then, each expert compares the row factors and column factors according to their professional knowledge and experience and fills in the weight factor judgment table. Finally, the results filled in by the experts are counted, the weight factor calculation and statistics table is filled in, and the weight factor of each index is converted, the performance data of previous trainees in the same or similar training projects are analyzed, and the common fluctuation range and influencing factors of each evaluation index are found out. According to these historical data, combined with the group characteristics and training requirements of the current trainees, reasonable adjustment factors are set.

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

[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: the craniotomy time length, wound suture density and craniotomy incision angle deviation amount corresponding to the last training project of the target trainee are normalized, and the processed craniotomy time length, wound suture density and craniotomy incision angle deviation amount corresponding to the last training project of the target trainee are respectively denoted as T, G and M, and substituted into the analysis formula to obtain the fine operation evaluation value A corresponding to the last training project of the target trainee.

[0044] X2, input the diagnosis decision-making timeliness and diagnosis accuracy rate corresponding to the last training project of the target trainee into the decision-making ability evaluation value analysis model, and output the decision-making ability evaluation value corresponding to the last training project of the target trainee.

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

[0046] X3, input the emergency response processing time and team cooperation communication efficiency corresponding to the last training project of the target trainee into the emergency treatment evaluation value analysis model, and output the emergency treatment evaluation value corresponding to the last training project of the target trainee.

[0047] It should be noted that the emergency treatment evaluation value corresponding to the last training project of the target trainee is obtained according to the analysis process of the fine operation evaluation value corresponding to the last training project of the target trainee.

[0048] The training project recommendation module is used to analyze and recommend the recommended training project corresponding to the target trainee according to the training result corresponding to the last training project of the target trainee, and recommend the recommended training project corresponding to the target trainee.

[0049] In a specific embodiment, the analysis recommendation corresponds to a recommended training project for the next target student, and the specific recommendation process is as follows: V1, if the training result of the last training project of the target student is skilled, the training project complexity level corresponding to the last training project of the target student is obtained, at the same time, each training project with a training project complexity level one higher than that of the last training project of the target student in the database is obtained, and each training project with a training project complexity level one higher than that of the last training project of the target student in the database is recorded as each training project to be recommended, the training times corresponding to each training project to be recommended are counted, and the top three training projects to be recommended are recommended to the target student.

[0050] V2, if the training result of the last training project of the target student is unskilled, the training project complexity level corresponding to the last training project of the target student is obtained, at the same time, the skill short board type corresponding to the last training project of the target student is obtained, and the training project complexity level and the skill short board type corresponding to the last training project of the target student are compared with the training project complexity level and the skill short board type corresponding to each training project in the database, if the training project complexity level and the skill short board type corresponding to the last training project of the target student correspond to the training project complexity level and the skill short board type corresponding to a certain training project in the database, the training project in the database is recorded as a training project to be recommended, and each training project to be recommended is obtained, the training times corresponding to each training project to be recommended are counted, and the top three training projects to be recommended are recommended to the target student.

[0051] In another specific embodiment, the skill short board type corresponding to the last training project of the target student is obtained, and the specific obtaining process is as follows: the comprehensive skill evaluation value corresponding to the last training project of the target student is compared with the comprehensive skill evaluation value interval corresponding to each skill short board type in the database, if the comprehensive skill evaluation value corresponding to the last training project of the target student is located in the comprehensive skill evaluation value interval corresponding to a certain skill short board type in the database, the skill short board type in the database is recorded as the skill short board type corresponding to the last training project of the target student.

[0052] The interdisciplinary cooperation distribution module is used for analyzing the comprehensive assistance effect adaptation values corresponding to each adaptable student and each skill short board type in each auxiliary discipline when the target student selects a training project to be completed, screening out the most adaptable students in each auxiliary discipline corresponding to the target student, and distributing the most adaptable students in each auxiliary discipline to the training project corresponding to the target student to form an interdisciplinary cooperation training team.

[0053] In a specific embodiment, the interdisciplinary cooperation distribution module further comprises a training adaptation index acquisition unit.

[0054] The training adaptation index acquisition unit is configured to acquire training adaptation indexes corresponding to each adaptable student and each skill short board type in each auxiliary subject, wherein the training adaptation indexes include the number of assistance operation effectiveness cases, the key information repetition accuracy rate, and the problem solving feedback period.

[0055] It should be noted that a special learning file is established for each adaptable student to record all operation practice cases related to skill short board improvement during the learning process of the auxiliary subject. The background, target, operation process, and result of the case are recorded in detail to accurately count and evaluate the number of effectiveness cases, develop a regular examination plan, and test the key information repetition of the adaptable student. Various forms such as written test, oral answer, and information application in actual operation are adopted to require the student to accurately repeat the core concept, important principle, and key step of the learned auxiliary subject, and then calculate the accuracy rate according to the standard answer or scoring standard. The time data of student problem feedback and teacher reply are obtained by using the data query function of the teaching management system. The system can automatically record the time when the student submits the problem and the time when the teacher processes and replies to the problem. Through data screening and analysis, the statistical result of the problem solving feedback period is 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, and the specific analysis process is as follows: the number of assistance operation effectiveness cases, the key information repetition accuracy rate, and the problem solving feedback period corresponding to each adaptable student and each skill short board type in each auxiliary subject are respectively denoted as D qwr , E qwr , and F qwr , wherein q represents the number corresponding to each auxiliary subject, q = 1, 2,..., a, a is any integer greater than 2, a represents the set of auxiliary subjects, w represents the number corresponding to each adaptable student, w = 1, 2,..., b, b is any integer greater than 2, b represents the set of adaptable students, r represents the number corresponding to each skill short board type, r = 1, 2,..., c, c is any integer greater than 2, c represents the set of skill short board types, and the calculation formula is: , wherein the comprehensive assistance effectiveness adaptation value corresponding to each adaptable student and each skill short board type in each auxiliary subject is obtained. , wherein D', E', and F' are the set of indexes corresponding to the adaptable student and the skill short board type in the auxiliary subject, respectively.

[0057] The number of assistance operation effect cases, the standard key information repetition accuracy rate, the standard problem solving feedback period, xi, x2, x3 are weight factors corresponding to the number of assistance operation effect cases of the adaptive students in the auxiliary subject, the weight factor corresponding to the key information repetition accuracy rate, and the weight factor corresponding to the problem solving feedback period.

[0058] It should be noted that xi, x2, x3 are greater than 0 and less than 1.

[0059] It should also be noted that the standard specifications of the relevant industry and the best practice cases recognized in the field are queried to understand the assistance operation effect standards that the auxiliary subject should achieve in the professional field for different skill short boards, the characteristics of the knowledge system and key information involved in the auxiliary subject are analyzed, and the importance and repetition requirements of different parts of information are determined. For important information such as core concepts and key principles, the standard of repetition accuracy rate should be relatively high; and for some auxiliary or extended information, the standard can be appropriately lowered. The problems involved in different skill short board types are classified and evaluated, and the standard problem solving feedback period is set according to the complexity and urgency of the problems. Relevant experts, teachers or professionals are organized to evaluate the importance of the number of assistance operation effect cases in reflecting the effect of the auxiliary subject on the skill short board improvement of the students. Scoring or sorting can be used to determine the relative importance, and then the corresponding weight factor is given according to the importance.

[0060] In another specific embodiment, the most adaptive students in the adaptive students in each auxiliary subject corresponding to the target student are screened out, and the specific screening process is as follows: the comprehensive assistance effect adaptation values of each adaptive student in each auxiliary subject and each skill short board type are arranged in descending order, thereby obtaining the comprehensive assistance effect adaptation values of each adaptive student in each auxiliary subject and the skill short board type of the last training project of the target student, and the adaptive student corresponding to the maximum comprehensive assistance effect adaptation value of each auxiliary subject and the skill short board type of the last training project of the target student is recorded as the most adaptive student in each auxiliary subject corresponding to the target student.

[0061] In one specific embodiment, the database is used to store the training project complexity level and skill short board type corresponding to each training project, and the database is also used to store the comprehensive skill evaluation value interval corresponding to each skill short board type.

[0062] The above is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or use similar ways to replace them, as long as they do not deviate from the concept of the present application or exceed the scope defined in the specification, which shall fall within the protection scope of the present application.

Claims

1. A neurosurgery brain surgery typical case history training system, characterized by: include: Historical training result analysis module: used to obtain the training indicators corresponding to the target trainee's last training project, and then evaluate the training results corresponding to the target trainee's last training project, including proficiency and unproficiency; Training program recommendation module: used to analyze and recommend the recommended training program for the target student based on the training results of the target student's last training program, and recommend the recommended training program for the target student; Interdisciplinary collaboration allocation module: After the target students have completed their training program selection, it is used to analyze the comprehensive assistance effectiveness adaptation values ​​corresponding to each applicable student in each auxiliary discipline and each skill shortcoming type, and then select the most applicable students in each auxiliary discipline corresponding to the target students, and assign the most applicable students in each auxiliary discipline to the training program corresponding to the target students 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 item of the target student are evaluated. The specific evaluation process is as follows: Z1. After the target trainee completes the last training program, obtain the fine operation index, decision-making ability index, and emergency treatment index corresponding to the target trainee's last training program. The fine operation index includes craniotomy duration, wound suture density, and craniotomy incision angle deviation. The decision-making ability index includes diagnostic decision timeliness and diagnostic accuracy. The emergency treatment index includes emergency response processing time and team collaboration and communication efficiency. Analyze and obtain the fine operation evaluation value, decision-making ability evaluation value, and emergency treatment evaluation value corresponding to the target trainee's last training program, and record the fine operation evaluation value, decision-making ability evaluation value, and emergency treatment evaluation value corresponding to the target trainee's last training program as A, B, and C, respectively. 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 student's last training item is 1, it indicates that the training result corresponding to the target student's last training item is proficient. Conversely, when the comprehensive skill evaluation result corresponding to the target student's last training item is -1, it indicates that the training result corresponding to the target student'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: Wherein, α represents the comprehensive skill evaluation value result corresponding to the target trainee's last training project, λ′ is the set comprehensive skill evaluation value threshold, A′, B′, and C′ are respectively the standard fine operation evaluation value, standard decision-making ability evaluation value, and standard emergency handling evaluation value corresponding to the set target trainee's last training project, Ξ1, Ξ2, and Ξ3 are respectively the weight factors corresponding to the fine operation evaluation value of the target trainee's last training project, the weight factors corresponding to the decision-making ability evaluation value, and the weight factors corresponding to the emergency handling evaluation value, Ω1, Ω2, and Ω3 are respectively the adjustment factors corresponding to the fine operation evaluation value of the target trainee's last training project, the adjustment factors corresponding to the decision-making ability evaluation value, and the adjustment factors corresponding to the emergency handling evaluation value, ΔA, ΔB, and ΔC are respectively the set permitted fine operation evaluation value difference, permitted decision-making ability evaluation value difference, and permitted emergency handling evaluation value difference of the target trainee's last training project.

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 target trainee's last training project. 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-making time efficiency 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 trainee's last training project into the emergency processing evaluation value analysis model, and output the emergency processing evaluation value corresponding to the target trainee's 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 training items corresponding to the target students. The specific recommendation process is as follows: V1. If the training result of the target student's last training item is proficient, obtain the training item complexity level corresponding to the target student's last training item. At the same time, obtain each training item in the database that has a higher level of complexity than the target student's last training item, and record each training item in the database that has a higher level of complexity than the target student's last training item as a training item to be recommended. Count the number of training times corresponding to each training item to be recommended, and recommend the top three training items with the highest number of training times to the target student. V2. If the training result of 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 projects to be recommended 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 weakness type corresponding to the target trainee's last training project is as follows: Compare the comprehensive skill evaluation value corresponding to the target student's last training item 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 item 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 will be 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 the current auxiliary disciplines. 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 applicable student and each skill shortcoming 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 discipline are recorded as D qwr 、E qwr and F qwr , where q represents the number corresponding to each auxiliary subject, q = 1, 2...a, a is an arbitrary integer greater than 2, a represents the collection of each auxiliary subject, w represents the number corresponding to each adaptable student, w = 1, 2...b, b is an arbitrary integer greater than 2, b represents the collection of each adaptable student, r represents the number corresponding to each skill short board type, r = 1, 2...c, c is an arbitrary integer greater than 2, c represents the collection of each skill short board type, 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. Among them, D′, E′ and F′ are respectively the number of standard assistance operation effectiveness cases corresponding to the types of adaptable trainees and skill shortcomings in the set auxiliary disciplines, the standard key information repetition accuracy rate, and the standard problem-solving feedback cycle; ξ1, ξ2, and ξ3 are respectively the weight factors corresponding to the number of assistance operation effectiveness cases corresponding to the types of adaptable trainees and skill shortcomings in the set auxiliary disciplines, the weight factors corresponding to the key information repetition accuracy rate, 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 specific screening process for selecting the most suitable students in each auxiliary subject corresponding to the target student is as follows: Arrange the comprehensive assistance effectiveness adaptation values ​​corresponding to each adaptable student and each skill shortcoming type in the current auxiliary disciplines 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.

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