Traditional Chinese and western medicine clinical diagnosis training system

Abstract

The invention belongs to the technical field of diagnosis training, and particularly relates to a traditional Chinese and western medicine clinical diagnosis training system, which constructs diversified virtual gynecological patients by integrating gynecological case data from different hospitals, creates detailed virtual diagnosis space for each virtual patient, and on the basis of the virtual diagnosis space, provides a clinical diagnosis system for the traditional Chinese and western medicine. A gradient pressure limiting scene is set for each virtual gynecological patient, so that a student selects virtual gynecological patients in different gradient pressure limiting scenes from the constructed virtual gynecological patients for diagnosis training, diagnosis training can be closer to an actual clinical situation, more opportunities for diagnosis training under extreme conditions are provided for the student, and the diagnosis training efficiency is improved. And meanwhile, in the process of performing diagnosis training on the selected virtual gynecological patient, simulation evaluation of the training scene is performed by collecting interaction data between the student and the virtual patient, so that interaction feedback defects existing in the virtual training scene can be found in time, and the student is prevented from generating a sense of disengagement.

Description

Technical Field

[0001] The present invention belongs to the technical field of diagnostic training, and particularly relates to a clinical diagnosis training system for traditional Chinese and Western medicine. Background Art

[0002] In today's fast-paced and high-intensity work environment, the long-term stress faced by women has an adverse impact on the endocrine system, increasing the risk of gynecological problems. In addition, the common long-term sedentary behavior, lack of exercise, and the increase in high-fat, high-sugar, and processed foods in the diet in the modern work environment have also led to an increasing trend in the incidence of gynecological diseases year by year.

[0003] Regarding the clinical diagnosis of gynecological diseases, the limitations of solely relying on Western medicine methods may lie in their tendency to make specific pathological diagnoses based on symptoms and signs, sometimes ignoring the overall health status of the individual and the relationship between the individual and the natural and social environments. Therefore, in current gynecological disease diagnosis practices, the diagnostic methods of traditional Chinese medicine are often combined to achieve more comprehensive and detailed health management.

[0004] Given that the combined diagnosis of traditional Chinese and Western medicine in gynecology requires doctors to have rich clinical experience, and in the situation where experienced doctors are relatively scarce, strengthening the clinical diagnosis training of non-experienced doctors has become crucial. Such training not only helps improve doctors' diagnostic skills and comprehensive judgment abilities but also enhances their confidence and ability to handle complex cases. However, traditional clinical diagnosis training usually requires a large amount of human and material resources, especially relying on the participation of real patients. To overcome the above limitations, modern medical education reduces the dependence on training resources by introducing virtual diagnosis training.

[0005] Although the current virtual diagnosis training systems provide a preliminary diagnosis training platform for trainees by creating virtual gynecological patients and virtual diagnosis spaces with provided gynecological cases, these trainings usually ignore the scenario simulation under stress constraints. In a real clinical environment, doctors often face time pressure and limited diagnostic equipment resources. If the virtual diagnosis training does not include these stress constraints, it is easy to lead to the diagnosis training being divorced from the actual clinical situation, and trainees lose the opportunity to practice diagnosis under extreme conditions, thus affecting their decision-making ability and operation efficiency in emergency situations.

[0006] In addition, the analysis of virtual diagnosis training results in the prior art often overemphasizes the diagnostic effects of trainees while ignoring the authenticity assessment of scenario simulation. This one-sided focus makes it difficult to identify the defects existing in the virtual training scenario, especially the interactive feedback defects, which are likely to give trainees a sense of detachment and thus affect the effectiveness and authenticity of the training to a certain extent. Summary of the Invention

[0007] In view of this, the present invention aims to propose a clinical diagnosis training system for traditional Chinese and Western medicine, which can effectively solve the deficiencies existing in the prior art by adding gradient pressure limits and authenticity evaluation of scenario simulation in virtual diagnosis training.

[0008] The object of the present invention can be achieved by the following technical solutions: A clinical diagnosis training system for traditional Chinese and Western medicine, comprising the following modules: A virtual construction module, which is used to collect gynecological cases from different hospitals, extract the disease types, degree of illness, patient physique, clinical symptoms and signs of each case from the cases, and then construct virtual gynecological patients based on the patient physique, clinical symptoms and signs of each case, and create a virtual diagnosis space for each virtual gynecological patient;

[0009] A scenario setting module, which is used to set a gradient pressure limit scenario for each virtual gynecological patient, where the pressure limit includes a time limit and a resource limit.

[0010] A patient selection module, which is used for trainees to select several virtual gynecological patients from the constructed virtual gynecological patients based on the disease types and degree of illness.

[0011] A scenario simulation module, which is used to start the simulation of the scenario while the trainee wears a virtual diagnosis device and enters the virtual treatment space corresponding to the selected virtual gynecological patient, and at the same time loads the gradient pressure limit scenario.

[0012] A data acquisition module, which is used to collect the diagnosis data and patient interaction data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient through the virtual diagnosis device worn by the trainee.

[0013] A diagnosis evaluation module, which is used to conduct an emergency diagnosis evaluation based on the diagnosis data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient.

[0014] A simulation evaluation module, which is used to conduct a training scenario simulation evaluation based on the patient interaction data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention constructs diverse virtual gynecological patients by integrating gynecological case data from different hospitals, and creates a detailed virtual diagnosis space for each virtual patient. On this basis, a gradient pressure limit scenario is set for each virtual gynecological patient, allowing trainees to select virtual gynecological patients under different gradient pressure limit scenarios from the constructed virtual gynecological patients for diagnosis training, which can make the diagnosis training closer to the actual clinical situation, provide trainees with more opportunities to practice diagnosis under extreme conditions, and thus effectively improve their decision-making ability and operation efficiency in emergency situations.

[0016] 2. During the diagnostic training of selected virtual gynecological patients, the present invention conducts simulation evaluation of the training scenario by collecting the interaction data between the trainee and the virtual patient. This approach can promptly detect the interaction feedback defects in the virtual training scenario, thereby avoiding the sense of disconnection for the trainee and effectively enhancing the authenticity and effectiveness of the training. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0018] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0019] Figure 2 It is a schematic diagram of the setting of the gradient pressure limit scenario in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

[0021] The present invention provides a clinical diagnosis training system for traditional Chinese and Western medicine, including a virtual construction module, a scenario setting module, a patient selection module, a scenario simulation module, a data collection module, a diagnosis evaluation module, and a simulation evaluation module.

[0022] See Figure 1 As shown, the above-mentioned virtual construction module is connected to the scenario setting module, the scenario setting module is connected to the patient selection module, the patient selection module is connected to the scenario simulation module, the scenario simulation module is connected to the data collection module, and the data collection module is respectively connected to the diagnosis evaluation module and the simulation evaluation module.

[0023] The virtual construction module is used to collect gynecological cases from different hospitals, extract the disease types, disease severity, patient physique, clinical symptoms, and signs of each case from the cases, and then construct virtual gynecological patients based on the patient physique, clinical symptoms, and signs of each case, and create a virtual diagnosis space for each virtual gynecological patient.

[0024] By collecting real gynecological cases from different hospitals as described above, the diversity and authenticity of virtual gynecological patients are ensured. Each case is based on actual medical records and can reflect various complex clinical situations. The cases provided by different hospitals cover a wide range of gynecological disease types and severities, enabling trainees to encounter rich clinical scenarios in a virtual environment and enhancing their comprehensive ability to handle various diseases.

[0025] Furthermore, by extracting the specific physical characteristics (such as height, weight, age, etc.), clinical symptoms, and signs of patients from each case, a highly personalized virtual diagnosis space can be created for each virtual gynecological patient. This personalized setting helps to more accurately simulate the real patient situation, enabling trainees to face specific and realistic clinical scenarios during training, and thus better understand and handle practical problems.

[0026] The scenario setting module is used to set gradient pressure limit scenarios for each virtual gynecological patient, where the pressure limits include time limits and resource limits.

[0027] Specifically, as shown in Figure 2 The setting of the gradient pressure limit scenario is as follows: Extract the standard diagnosis duration and the list of examination equipment used in a standard manner from the case corresponding to each virtual gynecological patient. These data reflect the time and resources required to complete a standard diagnosis in a real clinical environment.

[0028] Determine zero diagnosis duration as the starting point, and combine this with the standard diagnosis duration corresponding to the virtual gynecological patient to form a diagnosis duration interval.

[0029] Exemplarily, for example, if the standard diagnosis duration of a certain case is 60 minutes, then the diagnosis duration interval is [0, 60] minutes.

[0030] According to the preset number of diagnosis duration gradations, evenly divide the diagnosis duration interval into several diagnosis durations.

[0031] Exemplarily, the number of diagnosis duration gradations is 4 gradations. In this example, the obtained diagnosis durations are 48 minutes, 36 minutes, 24 minutes, and 12 minutes.

[0032] Count all the examination equipment used in the list of examination equipment used in a standard manner and their usage durations, and sort the examination equipment in ascending order of usage duration.

[0033] In the example of the above operation, assume that there is a colposcope in the list of examination equipment used in a certain case, with a usage duration of 5 minutes, an ultrasonic device with a usage duration of 10 minutes, a blood test device with a usage duration of 8 minutes, and an electrocardiogram detection device with a usage duration of 15 minutes. Then the sorting result of the examination equipment is: colposcope < blood test device < ultrasonic device < electrocardiogram detection device.

[0034] It should be noted that arranging the inspection devices used in the inspection device list in ascending order of usage duration to some extent reflects the importance of the inspection devices.

[0035] According to the preset number of inspection device ladder combinations, the devices are removed one by one in the arranged order of the inspection devices, and the remaining devices are retained to form inspection device combinations corresponding to different ladders.

[0036] In the example of the above operation, assuming that the number of inspection device ladder combinations is 3 ladders, which means removing the devices four times. The devices are removed one by one in the arranged order of the inspection devices, and the remaining devices are retained to form inspection device combinations corresponding to different ladders.

[0037] For example, in the above sorted device list, first remove the colposcope with the shortest usage duration, then the blood detection device, then the ultrasonic device, and finally the electrocardiogram detection device, so as to generate multiple different combinations of inspection device configurations. The specific inspection device combinations corresponding to different ladders formed are: the first ladder: remove the colposcope and retain the blood detection device, ultrasonic device, and electrocardiogram detection device; the second ladder: remove the blood detection device and retain the ultrasonic device and electrocardiogram detection device; the third ladder: further remove the ultrasonic device and only retain the electrocardiogram examination.

[0038] By setting gradient pressure limit scenarios, the present invention can create a series of scenarios with different time pressures and resource limitations for each virtual gynecological patient, helping trainees practice diagnostic skills and emergency handling capabilities in various complex situations. This systematic setting not only improves the authenticity and challenge of training but also can effectively evaluate the performance of trainees in a high-pressure environment.

[0039] Further preferably, setting gradient pressure limit scenarios for each virtual gynecological patient further includes the following process: when setting the pressure limit scenario corresponding to the time limit, several pressure limit scenarios corresponding to the time limit are formed by combining each diagnosis duration divided in the diagnosis duration interval with the list of inspection devices used in a standard manner.

[0040] When setting the pressure limit scenario corresponding to the resource limit, several pressure limit scenarios corresponding to the resource limit are formed by combining each formed inspection device combination with the standard diagnosis duration.

[0041] When setting up the pressure limit scenario, the pressure limit scenario of time limit and resource limit is constructed by dividing the diagnostic duration interval and checking the equipment combination respectively, and it is ensured that there is only one kind of pressure presenting gradient limit under each gradient pressure limit, and the other kind has no pressure limit, which reflects the principle of single pressure limit. This can ensure that only one variable (such as time or resource) is restricted in each training, and other conditions remain constant. This enables trainees to more clearly identify the impact of specific pressure factors on the diagnostic process. In addition, according to the performance of the single pressure limit scenario, more targeted feedback can be provided to help trainees identify and improve their weak links. For example, if a trainee performs poorly under time limit, the training on time management can be emphasized.

[0042] The diagnostic training patient selection module is used for trainees to select a number of virtual gynecological patients from the constructed virtual gynecological patients based on the disease type and degree of illness. The specific selection is as follows:

[0043] Determine the number of selected virtual gynecological patients based on the preset number of diagnostic duration gradient levels and the number of inspection equipment gradient combinations. Specifically, in the example where the number of diagnostic duration gradient levels is 4 and the number of inspection equipment gradient combinations is 3, the number of selected virtual gynecological patients is 7, ensuring that the set gradient pressure limit scenarios can be included.

[0044] Select the virtual gynecological patients corresponding to the same disease type and the same degree of illness from the constructed virtual gynecological patients according to the number of selected virtual gynecological patients based on the disease type and degree of illness.

[0045] It should be noted that according to the determined quantity, patients with the same disease type and degree of illness are selected from the already constructed virtual gynecological patient library. Ensure that the selected patients are consistent in terms of disease type (such as uterine fibroids, ovarian cysts, etc.) and degree of illness (such as mild, moderate, severe) to ensure the comparability and consistency between different pressure limit scenarios. At the same time, pay attention to the sample balance during the selection process to ensure the diversity of the selected patients to provide a comprehensive training experience. In this way, suitable virtual gynecological patients can be systematically selected to ensure the scientificity and effectiveness of each pressure limit scenario, thereby helping trainees improve their diagnostic skills and emergency handling abilities in various complex situations.

[0046] The scenario simulation module is used for trainees to wear virtual diagnostic equipment and enter the virtual treatment space corresponding to the selected virtual gynecological patients, and at the same time load the gradient pressure limit scenario to start the simulation of the scenario. Specifically, a time limit scenario or a resource limit scenario is assigned to each selected gynecological virtual patient.

[0047] The data acquisition module is used to collect the diagnostic data and patient interaction data of trainees when the selected virtual gynecological patients are in the gradient pressure limit scenario through the virtual diagnostic equipment worn by the trainees.

[0048] Among the ways that the above solution can be implemented, the diagnostic data includes the examination items taken in each diagnostic step and the diagnostic time consumption. For specific details, refer to the following acquisition process: When the trainee enters the virtual diagnostic space, the hand movements of the trainee during the diagnostic process are monitored using virtual diagnostic equipment, and the hand movement postures each time are recorded, thereby determining the examination items taken in each diagnostic step.

[0049] When monitoring hand movements, the initial monitoring time is recorded, and whether the hand movement changes is identified. When it is identified that the hand movement changes, the change time is recorded as the end diagnostic time of the diagnostic step to which the current hand movement posture belongs. Thus, by comparing the initial monitoring time and the end diagnostic time, the diagnostic time consumption corresponding to each diagnostic step is obtained.

[0050] It should be added that the virtual diagnostic equipment includes a haptic feedback glove that can sense the hand movements of the trainee. The hand movements of the trainee can to a certain extent reflect the examination items used by the trainee. However, some complex medical operations may require the use of specific medical equipment, and the operations of these equipment cannot be fully reflected only by hand movements. For example, when using an ultrasound device, etc. Therefore, when the hand movements cannot reflect the examination items, the examination items can be reflected by the virtual medical machinery used by the trainee.

[0051] Taking the embodiment of the examination items taken in each diagnostic step determined based on hand movement sensing as the background: The trainee selects a specific virtual gynecological case (such as uterine fibroids) and enters the corresponding virtual diagnostic space, which includes medical record keeping, etc. The trainee wears a device with hand movement capture function (such as a VR glove or a gesture recognition camera), and these devices can monitor and record the hand movement postures of the trainee in real time. The system starts to record every hand movement of the trainee during the entire diagnostic process, including grasping tools, operating equipment, touching the simulated patient parts, etc. The trainee conducts a preliminary interview with the virtual patient through voice to understand basic information such as medical history, symptoms, and living habits. The system records the hand movements of the trainee, such as the handwritten notes or electronic input actions when recording the medical history.

[0052] The trainee observes the external features of the virtual patient, such as complexion and tongue coating. The system records the hand movements of the trainee, such as using a magnifying glass to observe the tongue coating.

[0053] The trainee listens to the breathing sound, voice, etc. of the virtual patient. The system records the hand movements of the trainee, such as adjusting the position of the stethoscope.

[0054] The trainee conducts pulse diagnosis and palpation, and the system records the hand movements of the trainee, such as the finger placement position, pressing force, etc.

[0055] The trainee picks up the stethoscope and places it on the chest and abdomen of the virtual patient. The system records this series of hand movements to confirm whether the trainee has performed the auscultation operation correctly.

[0056] The trainee uses a sphygmomanometer to measure the blood pressure of the virtual patient. The system records their hand movements to ensure that the operation process complies with the standards.

[0057] Colposcopy: The trainee picks up the colposcope and inserts it into the vagina of the virtual patient according to the correct operation steps. The system records the posture and sequence of each hand movement.

[0058] The trainee operates the ultrasonic probe to scan the abdomen of the virtual patient. The system records the movement trajectory of the probe and the hand movements.

[0059] In a further realizable way of the above solution, the patient interaction data includes the interaction response duration and the interaction interruption frequency. Specifically, the process of collecting patient interaction data is as follows: Collect the interaction voice between the trainee and the virtual gynecological patient, and divide it into dialogue groups according to the interaction.

[0060] Respectively extract the dialogue time of the trainee and the dialogue time of the virtual gynecological patient from each dialogue group, and thus obtain the interval duration of the dialogue between the virtual gynecological patient and the trainee in each dialogue group.

[0061] Calculate the average value of the interval durations of the dialogue between the virtual gynecological patient and the trainee in each dialogue group to obtain the interaction response duration.

[0062] Screen out the dialogue voices with the virtual gynecological patient as the dialogue subject from the dialogue voices according to the dialogue subject.

[0063] Perform interruption detection on the screened dialogue voices and count the interaction interruption frequency from them.

[0064] The diagnostic evaluation module is used to perform emergency diagnostic evaluation based on the diagnostic data of the trainee when the selected virtual gynecological patient is in a gradient pressure limit scenario. The specific evaluation is as follows:

[0065] Extract the examination items and the specified diagnostic time taken for each diagnostic step from the corresponding cases of the virtual gynecological patient selected by the trainee.

[0066] Arrange the examination items taken for each diagnostic step of each virtual gynecological patient selected by the trainee in the gradient pressure limit scenario in the order of the diagnostic steps. At the same time, arrange the examination items specified for each diagnostic step of this virtual gynecological patient in the order of the diagnostic steps.

[0067] Match the examination items corresponding to the virtual diagnosis with the examination items corresponding to the specified diagnosis according to the order of the examination items, and thus count the number of successfully matched examination items.

[0068] The diagnostic timeout degree of the inspection item corresponding to the successful match is obtained by subtracting the diagnostic time consumed from the standard diagnostic time and then dividing by the standard diagnostic time, and the average diagnostic timeout degree of the inspection item corresponding to the successful match is obtained by taking the average of these values.

[0069] Based on the number of inspection items with successful matches, calculate the proportion of the number of inspection items with failed matches, and perform a weighted average with the average diagnostic timeout degree of the inspection items corresponding to the successful matches to obtain the diagnostic defect degree of each virtual gynecological patient selected by the trainee under the gradient pressure limit scenario.

[0070] Classify each virtual gynecological patient selected by the trainee according to the gradient time limit and gradient resource limit. Arrange the virtual gynecological patients under the gradient time limit in ascending order of the number of diagnostic duration gradations, and at the same time arrange the virtual gynecological patients under the gradient resource limit in descending order of the number of inspection equipment cascade combinations.

[0071] According to the arranged order of the virtual gynecological patients, compare the diagnostic defect degrees of each virtual gynecological patient selected by the trainee under the gradient time limit scenario for adjacent virtual gynecological patients to calculate the deterioration rate of gynecological diagnostic defects under the gradient time limit.

[0072] According to the arranged order of the virtual gynecological patients, compare the diagnostic defect degrees of each virtual gynecological patient selected by the trainee under the gradient resource limit scenario for adjacent virtual gynecological patients to calculate the deterioration rate of gynecological diagnostic defects under the gradient resource limit.

[0073] Compare the deterioration rate of gynecological diagnostic defects under the gradient time limit and the deterioration rate of gynecological diagnostic defects under the gradient resource limit with the preset allowable deterioration rate respectively. If there is any deterioration rate of gynecological diagnostic defects under the gradient pressure limit higher than the allowable deterioration rate, it is evaluated that the gynecological clinical diagnosis training does not meet the standard.

[0074] When the deterioration rates of gynecological diagnostic defects under the gradient time and gradient resource limits are both higher than the allowable deterioration rate, compare the deterioration rates of gynecological diagnostic defects under the gradient time and gradient resource limits to identify the direction of gynecological diagnostic defects under the gradient pressure limit. Specifically, when the deterioration rate of gynecological diagnostic defects under the gradient time limit is higher than the deterioration rate of gynecological diagnostic defects under the gradient resource limit, the direction of gynecological diagnostic defects is the time limit; when the deterioration rate of gynecological diagnostic defects under the gradient resource limit is higher than the deterioration rate of gynecological diagnostic defects under the gradient time limit, the direction of gynecological diagnostic defects is the resource limit.

[0075] The simulation evaluation module is used to perform simulation evaluation of the training scenario based on the patient interaction data of the trainee when the selected virtual gynecological patients are under the gradient pressure limit scenario. The specific process is as follows: Use the expression for the patient interaction data of each virtual gynecological patient selected by the trainee when under the gradient pressure limit scenario Calculate the interaction detachment degree IL, where T and F respectively represent the interaction response duration and interaction interruption frequency of the virtual gynecological patient, T0 and F0 respectively represent the ideal interaction response duration and ideal interaction interruption frequency of the diagnostic simulation, and e represents the natural constant.

[0076] It should be understood that in the interaction feedback between the trainee and the virtual gynecological patient, the interaction response duration and interaction interruption frequency of the patient will cause a sense of detachment from the trainee's diagnosis. This is mainly because these factors directly affect the trainee's perception of the authenticity and immersion of the virtual environment. Specifically, if the virtual patient takes too long to respond when answering questions or showing symptoms (for example, several seconds or even longer), this will make the trainee feel unnatural. In the actual clinical environment, the patient's response is usually immediate, and even if there is some delay, it is within a reasonable range. An overly long response duration will break the trainee's immersion and make it difficult for them to regard the virtual environment as a real diagnosis and treatment scenario. If the virtual patient frequently interrupts during the conversation (such as suddenly stopping speaking, freezing, etc.), this phenomenon will make the trainee feel confused and uneasy. In the actual clinical environment, patients usually do not frequently interrupt their expressions unless there are special reasons (such as being emotionally excited or physically uncomfortable). Frequent interruptions will disrupt the trainee's concentration and reduce their trust in the virtual environment.

[0077] Assign weight values to each virtual gynecological patient according to each virtual patient being in a gradient pressure limit scenario.

[0078] Combine the weight values of each virtual gynecological patient selected by the trainee with the interaction detachment degree of the virtual gynecological patient in the gradient pressure limit scenario and perform a weighted average calculation to obtain the comprehensive interaction detachment degree of the virtual gynecological patient. Then, compare it with the preset allowable interaction detachment degree. If the comprehensive interaction detachment degree is higher than the allowable interaction detachment degree, it is evaluated that the training scenario simulation does not meet the standard.

[0079] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technology can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A clinical diagnosis training system for traditional Chinese and Western medicine, characterized in that , including the following modules: A virtual construction module, which is used to collect gynecological cases from different hospitals, extract the disease types, degree of illness, patient physique, clinical symptoms and signs of each case from the cases, and then construct virtual gynecological patients based on the patient physique, clinical symptoms and signs of each case, and create a virtual diagnosis space for each virtual gynecological patient; A scenario setting module, which is used to set a gradient pressure limit scenario for each virtual gynecological patient, where the pressure limit includes a time limit and a resource limit; A patient selection module, which is used for trainees to select several virtual gynecological patients from the constructed virtual gynecological patients based on the disease type and degree of illness; A scenario simulation module, which is used to start the simulation of the scenario when the trainee wears a virtual diagnosis device and enters the virtual treatment space corresponding to the selected virtual gynecological patient, and at the same time loads the gradient pressure limit scenario; A data collection module, which is used to collect the diagnosis data and patient interaction data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient through the virtual diagnosis device worn by the trainee; A diagnosis evaluation module, which is used to conduct an emergency diagnosis evaluation based on the diagnosis data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient; A simulation evaluation module, which is used to conduct a training scenario simulation evaluation based on the patient interaction data of the trainee in the gradient pressure limit scenario of the selected virtual gynecological patient.

2. A Chinese and Western medicine clinical diagnosis training system as claimed in claim 1, characterized in that: The process of setting the gradient pressure limit scenario for each virtual gynecological patient is as follows: Extract the standard diagnosis duration and the list of examination devices used standardly from the cases corresponding to each virtual gynecological patient: Determine zero diagnosis duration as the starting point, and combine this with the standard diagnosis duration corresponding to the virtual gynecological patient to form a diagnosis duration interval; Evenly divide the diagnosis duration interval into several diagnosis durations according to the preset number of diagnosis duration gradations; Count all the examination devices used in the list of examination devices used standardly and their usage durations, and sort the examination devices in ascending order of usage duration; Remove devices in turn according to the preset number of examination device ladder combinations according to the arrangement order of the examination devices, and retain the remaining devices to form examination device combinations corresponding to different ladders.

3. The clinical diagnosis training system for traditional Chinese and Western medicine according to claim 2, characterized in that: The process of setting the gradient pressure limit scenario for each virtual gynecological patient also includes the following process: When setting the pressure limit scenario corresponding to the time limit, the diagnosis durations divided from the diagnosis duration interval and the list of examination devices used standardly form several pressure limit scenarios corresponding to the time limit; When setting the pressure limit scenario corresponding to the resource limit, the formed examination device combinations and the standard diagnosis duration form several pressure limit scenarios corresponding to the resource limit.

4. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 2, wherein: The implementation of selecting several virtual gynecological patients is as follows: Determine the number of selected virtual gynecological patients based on the preset number of diagnosis duration gradations and the number of examination device ladder combinations; Select virtual gynecological patients corresponding to the same disease type and the same degree of illness based on the selected number of virtual gynecological patients from the constructed virtual gynecological patients based on the disease type and degree of illness.

5. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 4, characterized in that: The operation of loading the gradient pressure limit scenario to start the simulation of the scenario is as follows: Assign a time limit scenario or a resource limit scenario to each selected virtual gynecological patient.

6. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 1, characterized in that: The diagnostic data includes the examination items taken in each diagnostic step and the diagnostic time consumption. For details, please refer to the following acquisition process: When the trainee enters the virtual diagnostic space, the hand movements of the trainee during the diagnostic process are monitored using virtual diagnostic equipment, and the hand movement postures each time are recorded, thereby determining the examination items taken in each diagnostic step; When monitoring the hand movements, the initial monitoring time is recorded, and whether the hand movements are changed is identified. When the hand movements are identified to be changed, the change time is recorded as the end diagnostic time of the diagnostic step to which the current hand movement posture belongs. Thus, by comparing the initial monitoring time and the end diagnostic time, the diagnostic time consumption corresponding to each diagnostic step is obtained.

7. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 1, characterized in that: The patient interaction data includes the interaction response duration and the interaction interruption frequency. Specifically, the patient interaction data acquisition process is as follows: Collect the interaction voices of the trainee and the virtual gynecological patient, and divide them into dialogue groups according to the interactions; Respectively extract the dialogue time of the trainee and the dialogue time of the virtual gynecological patient from each dialogue group, thereby obtaining the interval duration of the dialogue between the virtual gynecological patient and the trainee in each dialogue group; Calculate the mean value of the interval durations of the dialogue between the virtual gynecological patient and the trainee in each dialogue group to obtain the interaction response duration; Screen out the dialogue voices with the virtual gynecological patient as the dialogue subject from the dialogue voices according to the dialogue subject; Perform interruption detection on the screened dialogue voices, and count the interaction interruption frequency therefrom.

8. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 6, characterized in that: The emergency diagnosis evaluation refers to the following process: Based on the virtual gynecological patient selected by the trainee, extract the examination items and the standard diagnostic time consumption taken in each diagnostic step from the corresponding case; Arrange the examination items taken in each diagnostic step corresponding to each virtual gynecological patient selected by the trainee in the gradient pressure limit scenario in the order of the diagnostic steps, and at the same time arrange the examination items taken in each diagnostic step corresponding to this virtual gynecological patient according to the standard in the order of the diagnostic steps; Match the examination items corresponding to the virtual diagnosis with the examination items corresponding to the standard diagnosis according to the order of the examination items, and thus count the number of successfully matched examination items; Divide the difference between the diagnostic time consumption corresponding to the successfully matched examination items and the standard diagnostic time consumption by the standard diagnostic time consumption to obtain the diagnostic overtime degree corresponding to the successfully matched examination items, and take the mean value thereof to obtain the average diagnostic overtime degree corresponding to the successfully matched examination items; Calculate the proportion of the number of unmatched examination items based on the number of successfully matched examination items, and perform weighted averaging with the average diagnostic overtime degree corresponding to the successfully matched examination items to obtain the diagnostic defect degree of each virtual gynecological patient selected by the trainee in the gradient pressure limit scenario.

9. The clinical diagnosis training system of traditional Chinese and Western medicine according to claim 8, wherein: The emergency diagnosis evaluation further includes the following process: Classify each virtual gynecological patient selected by the trainee according to the gradient time limit and the gradient resource limit, arrange the virtual gynecological patients under the gradient time limit in ascending order of the diagnostic duration gradation numbers, and at the same time arrange the virtual gynecological patients under the gradient resource limit in descending order of the number of examination equipment cascade combinations; Calculate the deterioration rate of gynecological diagnosis defects under gradient time limit by comparing the diagnosis defect degrees of each selected virtual gynecological patient of the trainee in the gradient time limit scenario in the order of arrangement of virtual gynecological patients for adjacent virtual gynecological patients; Calculate the deterioration rate of gynecological diagnosis defects under gradient resource limit by comparing the diagnosis defect degrees of each selected virtual gynecological patient of the trainee in the gradient resource limit scenario in the order of arrangement of virtual gynecological patients for adjacent virtual gynecological patients; Compare the deterioration rate of gynecological diagnosis defects under gradient time limit and the deterioration rate of gynecological diagnosis defects under gradient resource limit with the preset allowable deterioration rate respectively. If the deterioration rate of gynecological diagnosis defects under any gradient pressure limit is higher than the allowable deterioration rate, it is evaluated that the gynecological clinical diagnosis training does not meet the standard; When the deterioration rates of gynecological diagnosis defects under gradient time and gradient resource limits are both higher than the allowable deterioration rate, compare the deterioration rates of gynecological diagnosis defects under gradient time and gradient resource limits to identify the direction of gynecological diagnosis defects under gradient pressure limit.

10. A clinical diagnosis training system of traditional Chinese and Western medicine according to claim 7, characterized in that: The training scenario simulation evaluates the following process: Using the expression for the patient interaction data of each virtual gynecological patient selected by the trainee in the gradient pressure limit scenario calculate the interaction detachment degree IL, where T and F represent the interaction response duration and interaction interruption frequency of the virtual gynecological patient respectively, T0 and F0 represent the ideal interaction response duration and ideal interaction interruption frequency of the diagnostic simulation respectively, and e represents the natural constant; Assign weights to each virtual patient according to each virtual gynecological patient in the gradient pressure limit scenario; Calculate the weighted average of the weight values of each selected virtual gynecological patient of the trainee combined with the interaction detachment degree of the virtual gynecological patient in the gradient pressure limit scenario to obtain the comprehensive interaction detachment degree of the virtual gynecological patient, and then compare it with the preset allowable interaction detachment degree. If the comprehensive interaction detachment degree is higher than the allowable interaction detachment degree, it is evaluated that the training scenario simulation does not meet the standard.

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