Emergency disposal standardized training method in batch injury hospital and related equipment

Abstract

The invention discloses a standardized training method for emergency disposal in a batch injury hospital and related equipment. The method comprises the following steps: acquiring patient identity information of an admission patient, and querying patient medical record information of the admission patient based on the patient identity information; based on the illness state indicated by the patient medical record information, associated health propaganda and education content information is selected; and sending the health propaganda and education content information to a patient user side associated with the patient identity information. The problems of high human resource consumption, high material resource consumption, low time efficiency and lack of sense of reality in training of coping with multiple wounded personnel accidents in a hospital at present can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a standardized training method for emergency response in mass casualty hospitals and related equipment. Background Art

[0002] With the rapid development of urban transportation, traffic accidents occur frequently, especially those involving multiple casualties. Such accidents exceed the response capacity of conventional emergency medical services and require hospitals to have the ability to respond quickly and collaborate efficiently.

[0003] At present, hospitals mainly rely on traditional on-site drills and training methods to deal with accidents with multiple casualties. Traditional drills require the participation of a large number of medical staff, which affects daily medical work. During the drill, a large amount of medical supplies and equipment need to be prepared, which increases the operating costs of the hospital. Drills usually take a long time to prepare and implement, and it is difficult to adapt to the rapidly changing medical environment. Traditional drills are difficult to simulate real scenarios, and it is difficult to effectively improve the emergency response capabilities and teamwork capabilities of medical staff. Summary of the invention

[0004] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0005] In order to solve the problems of large human resource consumption, high material resource consumption, low time efficiency and lack of realism in the current hospital training for dealing with accidents with multiple casualties, in the first aspect, the present invention proposes a standardized training method for emergency response in a batch casualty hospital, the method comprising:

[0006] Based on the emergency medical scenario type selected by the user, a corresponding virtual reality scenario and multiple simulated injured persons associated with the virtual reality scenario are generated, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed;

[0007] Acquire simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors, and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles;

[0008] In response to different simulated treatment information, the injury status information of the simulated injured person is updated, and the updated injury status information is synchronized to the user terminals corresponding to all medical roles associated with the ideal treatment process.

[0009] Optionally, also include:

[0010] In response to a role switching request from the user terminal, switching the role of a user associated with the user terminal;

[0011] In the case that the switched medical role is different from the real medical role associated with the user, the standard treatment information corresponding to the switched medical role in the ideal treatment process of each simulated injured person is displayed to the user.

[0012] Optionally, updating the injury status information of the simulated injured person in response to different simulated treatment information includes:

[0013] When the simulated treatment information matches the standard treatment information and the standard treatment sequence, the injury status information of the simulated injured person is updated based on the preset post-treatment status information.

[0014] Optionally, updating the injury status information of the simulated injured person in response to different simulated treatment information includes:

[0015] In the case where the simulated treatment information does not match the standard treatment information and the standard treatment sequence, the AI ​​model generates the post-treatment theoretical state information based on the current injury state information associated with the simulated injured person and the simulated treatment information;

[0016] The injury status information of the simulated injured person is updated based on the theoretical status information after treatment.

[0017] Optionally, also include:

[0018] In the case that the updated injury status information of the simulated injured person based on the post-treatment theoretical status information is worse than the earlier injury status information, querying the corresponding knowledge point based on the earlier injury status information and the associated ideal treatment process;

[0019] Sending the knowledge point to the user;

[0020] An association is established between the knowledge point and the user, so that when the user performs an emergency simulation again, target injury status information is generated for the simulated injured person based on the knowledge point, the target injury status information is different from the previous injury status information, and the diagnosis and treatment of the target injury status information requires mastering the knowledge point.

[0021] Optionally, the ideal treatment process includes an ideal treatment time, and all medical roles included in each ideal treatment process share the ideal treatment time of the ideal treatment process. The ideal treatment time, the actual time of themselves and other medical roles, and the current remaining time are synchronously displayed to all medical roles included in the same ideal treatment process.

[0022] Optionally, the execution time of the standard treatment information is less than the theoretical execution time corresponding to the real treatment, and the execution time of different types of standard treatment information is shortened in equal proportion to their corresponding theoretical execution time.

[0023] In a second aspect, the present invention further provides a standardized training device for emergency treatment in a batch hospital, comprising:

[0024] A simulation unit, for generating a corresponding virtual reality scene and a plurality of simulated injured persons associated with the virtual reality scene based on the type of emergency medical scene selected by the user, wherein each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed;

[0025] A treatment unit, used for obtaining simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles;

[0026] The synchronization unit is used to update the injury status information of the simulated injured person in response to different simulated treatment information, and synchronize the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process.

[0027] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the standardized training method for emergency response in mass casualties hospitals as described in any one of the first aspects above when executing the computer program stored in the memory.

[0028] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the standardized training method for emergency response in mass casualties hospital according to any one of the above-mentioned items in the first aspect.

[0029] In summary, the standardized training method for emergency treatment of batch injuries in hospitals proposed in this application generates a corresponding virtual reality scene and multiple simulated injured persons associated with the virtual reality scene based on the type of emergency medical scene selected by the user, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed; obtains simulated treatment information of the simulated injured person by users associated with different medical role categories in the virtual emergency medical scene, the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequences of at least two medical roles; updates the injury status information of the simulated injured person in response to different simulated treatment information, and synchronizes the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process. As a result, the virtual reality scene simulation can realistically reproduce the multi-injured event in the emergency medical environment, allowing medical staff to operate in an immersive experience of multiple senses such as vision and hearing. In this way, training can be free from the constraints of real conditions, and the treatment behavior of medical staff on the wounded can be recorded in real time. The injury status of the wounded can be dynamically adjusted according to the treatment steps and quality of the medical staff, and their emergency response capabilities can be evaluated. Virtual scenes do not require the consumption of actual resources, which greatly reduces the cost of drills and does not affect the daily work of the hospital. After each operation, the system provides detailed feedback to help medical staff understand the deficiencies in the operation and make timely improvements. The multi-person collaborative training mode improves the coordination and efficiency of the team's emergency response. Different types of accidents or environments can be simulated, enabling medical staff to cope with various complex emergency scenarios.

[0030] The standardized training method for emergency treatment in mass casualties in the hospital of the present invention, and other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will also be understood by technical personnel in the field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0032] Figure 1 A schematic diagram of a standardized training method for emergency response in a mass casualty hospital provided in an embodiment of the present application;

[0033] Figure 2 A schematic diagram of a standardized training device for emergency response in a mass casualty hospital provided in an embodiment of the present application;

[0034] Figure 3A schematic diagram of the structure of an electronic device for standardized training of emergency response in mass casualty hospitals provided in an embodiment of the present application. DETAILED DESCRIPTION

[0035] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0036] In order to solve the current problems of high human resource consumption, high material resource consumption, low time efficiency and lack of realism in hospital training for dealing with multiple casualties, please refer to Figure 1 , which is a flow chart of a standardized training method for emergency response in a batch of casualties hospital provided in an embodiment of the present application, and may specifically include: steps S110 to S130.

[0037] S110, based on the emergency medical scenario type selected by the user, a corresponding virtual reality scene and a plurality of simulated injured persons associated with the virtual reality scene are generated, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed.

[0038] For example, users can select different types of emergency medical scenarios, such as car accidents, explosions, or natural disasters. Based on the selected scenario, the system generates a matching virtual reality scene. For example, a serious traffic accident is simulated, with multiple injured persons in the scene, and the positions, injuries, and accident environment of the injured persons are realistically presented. Each injured person will be associated with specific injury status information (such as fractures, blood loss, confusion, etc.), and the system background generates an ideal treatment process, that is, the best treatment sequence and measures for such injured persons.

[0039] S120, obtaining simulated treatment information of the simulated injured person by users associated with different medical role categories in the virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles.

[0040] For example, different medical roles (emergency nurses, emergency doctors, psychological counselors, etc.) will treat the wounded in the virtual scene, and the user interface records the operation steps, time and treatment methods of each medical staff. The system compares these operations with the preset ideal treatment process. For example, in the simulation scenario, the emergency doctor first performs airway management on a wounded person with shortness of breath, and the nurse is responsible for stopping the bleeding for the wounded who have lost too much blood. The psychological counselor can provide crisis intervention for those mentally traumatized wounded in the scene.

[0041] S130, updating the injury status information of the simulated injured person in response to different simulated treatment information, and synchronizing the updated injury status information to user terminals corresponding to all medical roles associated with the ideal treatment process.

[0042] For example, as each medical role handles the situation, the system dynamically updates the patient's condition based on the effectiveness of the action. If the doctor handles the situation properly, the patient's condition may improve; otherwise, it may deteriorate. For example, if the doctor does not perform airway management in time, the patient may enter respiratory failure. The system will instantly update the patient's vital signs and synchronize them to all relevant medical roles. The system will also display the correct emergency procedures so that errors can be corrected during training.

[0043] For example, the system supports multi-person collaboration, and everyone in the medical team can see the real-time updated status of the injured. This helps improve the team's collaboration and decision-making speed. For example, doctors and nurses work together through shared virtual information, doctors guide nurses in handling steps, nurses provide feedback on the latest status of the injured, and psychological counselors in the team can also adjust intervention strategies by observing the status of the injured.

[0044] For example, in a simulated car accident, three injured people have symptoms of head trauma, fractures and shock. Emergency doctors need to quickly determine the priority of treatment, nurses need to treat wounds at the same time, and psychological counselors provide emergency psychological intervention. During the training process, the system dynamically adjusts the status of the injured according to their decision-making and execution. If the priority of treatment is misjudged, the condition of the injured may worsen, thereby generating negative feedback, helping the team optimize decision-making and collaboration capabilities.

[0045] In summary, the standardized training method for emergency treatment of batch injuries in hospitals provided by the embodiment of the present application generates a corresponding virtual reality scene and multiple simulated injured persons associated with the virtual reality scene based on the type of emergency medical scene selected by the user, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed; obtains simulated treatment information of the simulated injured person by users associated with different medical role categories in the virtual emergency medical scene, the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequences of at least two medical roles; updates the injury status information of the simulated injured person in response to different simulated treatment information, and synchronizes the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process. As a result, the virtual reality scene simulation can realistically reproduce the multi-injured event in the emergency medical environment, allowing medical staff to operate in an immersive experience of multiple senses such as vision and hearing. In this way, training can be free from the constraints of real conditions, and the treatment behavior of medical staff on the wounded can be recorded in real time. The injury status of the wounded can be dynamically adjusted according to the treatment steps and quality of the medical staff, and their emergency response capabilities can be evaluated. Virtual scenes do not require the consumption of actual resources, which greatly reduces the cost of drills and does not affect the daily work of the hospital. After each operation, the system provides detailed feedback to help medical staff understand the deficiencies in the operation and make timely improvements. The multi-person collaborative training mode improves the coordination and efficiency of the team's emergency response. Different types of accidents or environments can be simulated, enabling medical staff to cope with various complex emergency scenarios.

[0046] According to some embodiments, further comprising:

[0047] In response to a role switching request from the user terminal, switching the role of a user associated with the user terminal;

[0048] In the case that the switched medical role is different from the real medical role associated with the user, the standard treatment information corresponding to the switched medical role in the ideal treatment process of each simulated injured person is displayed to the user.

[0049] For example, users can request to switch to different medical roles at any time during the virtual training process. For example, an emergency nurse can switch to an emergency doctor, and a doctor can switch to a psychological counselor, etc. The purpose of role switching is to allow medical staff to experience the responsibilities and operating procedures of different roles in a virtual environment, so as to have a deeper understanding of the overall emergency process. For example, when an emergency nurse is treating a wounded person, if she wants to understand the specific operations of the doctor in the same scene, she can issue a role switching request, and the system will switch the user from "emergency nurse" to "emergency doctor".

[0050] For example, when the medical role that the user switches to is different from the role in reality, the system will show the user the standard handling information of the switched role. This information comes from the ideal emergency handling process, and describes in detail the operation steps, sequence, priority, etc. that the role should perform. For example, if an emergency nurse switches to an emergency doctor, the system will show the user the best operation process for the doctor when dealing with each injured person, such as checking vital signs, giving priority to airway management, etc.

[0051] For example, the system not only displays the standard operating procedures, but also dynamically updates the standard treatment information according to the real-time status of the injured. Users can compare the differences between the current operation and the standard process and adjust their operations at any time. For example, after the emergency doctor switches to a psychological counselor, he sees the standard psychological intervention process displayed by the system, which helps him quickly understand the psychological state of the injured and how to intervene. At the same time, the system will dynamically adjust information, such as the emotional fluctuations or anxiety levels of the injured, and provide further guidance based on these changes.

[0052] It is understandable that medical staff can switch roles to fully understand the role of different roles in multi-injured emergency events and promote the mastery of the overall emergency process. The system provides personalized operation guidance based on the responsibilities and ideal processes of different roles, which helps medical staff to learn the emergency response skills of new roles in a targeted manner. The standard treatment information after the role switch can be updated in combination with the real-time status of the injured to ensure that users can understand the best operations in different situations, thereby improving the effectiveness and accuracy of emergency response. By switching roles, medical staff can better understand the responsibilities of other roles, enhance the tacit understanding of teamwork, and improve the overall efficiency of emergency response. For example, the emergency nurse performs hemostasis treatment for the injured in the scene, but because the injured person has the risk of internal bleeding, the nurse wants to know how the doctor will proceed with the next treatment. She sends a role switch request, and the system switches her to "emergency doctor" and shows the doctor's priority operations in the ideal process-such as stabilizing blood pressure and checking internal bleeding. Through this process, the nurse quickly understands the doctor's key treatment steps and can better cooperate with the doctor in the future. For example, after the emergency doctor switched his role to "psychological counselor", the system showed that the injured person might be anxious due to the emotional stress of the accident. The system suggested that the doctor use breathing regulation techniques to help the injured person calm down, and provided further crisis intervention plans. Through this function, the doctor learned how to deal with psychological trauma, thus enriching his knowledge system.

[0053] In some examples, updating the injury status information of the simulated injured person in response to different simulated treatment information includes:

[0054] When the simulated treatment information matches the standard treatment information and the standard treatment sequence, the injury status information of the simulated injured person is updated based on the preset post-treatment status information.

[0055] It is understandable that the system will dynamically update the injury status of the simulated injured person according to the user's simulated treatment information (i.e., the operation of the medical staff). Specifically, when the user's operation matches the preset standard treatment information and standard treatment sequence, the system will update the injury status of the injured person according to the set "ideal treatment effect". This method ensures that the user can see the corresponding recovery effect of the injured person under the correct operation, and also provides a feedback mechanism to help the user correct the wrong operation.

[0056] For example, in a virtual scene, the simulated injured person will be initialized to a specific injury state, such as blood loss, dyspnea, fracture, etc. These states can be customized according to different scenarios (such as car accidents, explosions, fires, etc.). The injury state of each injured person is associated with the ideal treatment process preset in the system background, including standard treatment steps and sequence. Only when these standard operations are met can the condition of the injured person be effectively improved.

[0057] For example, the system will monitor the user's operation in the virtual scene in real time, and record the treatment behavior, sequence and operation content of each step. Then, the system will compare this information with the standard treatment information preset in the background. For example, an emergency doctor needs to treat a wounded person with severe blood loss. The standard process preset by the system may include: first stop bleeding-rapid blood transfusion-monitor vital signs. If the user operates in this order, the system will determine that the operation matches the standard process.

[0058] Exemplarily, when the user's operation matches the standard treatment process and sequence, the system will update the patient's injury status according to the preset "post-treatment status information". This update reflects the ideal effect after the medical staff has operated correctly. For example, successful hemostasis will reduce the severity of bleeding, and the patient's vital signs will gradually return to a stable state. For example, the emergency doctor completed the hemostasis and blood transfusion operations according to the predetermined steps. The system will gradually restore the patient's blood pressure, heart rate and other vital signs to normal levels according to the preset effects, and show that the patient's condition has improved.

[0059] It is understandable that the preset post-treatment status information in the system is set based on medical theory and emergency treatment standards, taking into account the possible recovery trajectory of different types of injured persons and injuries. When the operation is correct, the injured person's injury status information will develop towards the preset "ideal health state"; if the operation is wrong or the order is reversed, the system may not improve the injured person's condition, and may even deteriorate further. Therefore, by comparing user operations with standard procedures, the system can provide instant feedback to let medical staff know whether they have performed the correct operation. If an error occurs, the system can immediately remind and display the standard procedure to help medical staff correct it. The injured person's injury status is dynamically adjusted according to the actual operation, making the simulation in the virtual scene closer to the real situation. The improvement in status brought about by correct operation helps to enhance the confidence and operational proficiency of medical staff. By comparing standard treatment information with actual operations, the system can effectively evaluate the training effect of medical staff and record their performance in each link. Based on these data, hospitals can develop personalized training plans to help medical staff improve their abilities.

[0060] For example, in a simulated explosion accident, the emergency doctor needs to treat the serious trauma and blood loss for the injured. The standard process requires cleaning the wound and stopping the bleeding first, then transfusing blood and stabilizing blood pressure. If the doctor follows this order, the system will detect that the operation matches the standard, and then update the injured person's blood pressure to gradually return to normal, blood loss is reduced, and vital signs are restored to stability according to the preset post-treatment status.

[0061] For example, an emergency nurse is treating a patient with a fracture. The standard procedure requires the nurse to fix the fracture first and then provide pain relief. If the nurse follows the correct steps, the system will reduce the patient's pain index and show that the patient's condition is stabilizing. However, if the nurse ignores the fixation step and directly provides pain relief, the system may not update the patient's condition and may even show that the patient's condition has worsened.

[0062] In some examples, updating the injury status information of the simulated injured person in response to different simulated treatment information includes:

[0063] In the case where the simulated treatment information does not match the standard treatment information and the standard treatment sequence, the AI ​​model generates the post-treatment theoretical state information based on the current injury state information associated with the simulated injured person and the simulated treatment information;

[0064] The injury status information of the simulated injured person is updated based on the theoretical status information after treatment.

[0065] It is understandable that when the user's simulated treatment information does not match the system's preset standard treatment information and standard treatment sequence, the system will use an artificial intelligence (AI) model to infer the possible consequences of non-standard treatment behaviors. Specifically, the AI ​​model will generate a "theoretical state after treatment" based on the current injury status of the injured person and the user's actual operation, and update the injured person's injury status information based on this theoretical state. This method allows the system to dynamically simulate the actual impact of treatment behaviors based on non-standard operations, providing a more flexible feedback mechanism.

[0066] Exemplarily, the system has an embedded AI model that has been trained with a large amount of real medical data and can predict the impact of different treatment behaviors on the patient's condition. In particular, when the medical staff's operation does not conform to the standard process, the AI ​​model will predict the possible consequences of non-standard treatment based on the current patient's condition and operation behavior. For example, if the emergency doctor does not follow the standard process to give priority to stopping the bleeding of the bleeding patient, but instead gives an infusion first, the AI ​​model will infer the negative effects that may result from this behavior, such as further blood loss or shock risk, based on the patient's bleeding condition and the delay in the treatment.

[0067] Exemplarily, the AI ​​model will generate a "theoretical state after treatment" based on non-standard operations, which is a simulation of the potential health changes of the injured after this non-standard operation. For example, if the nurse does not fix the fracture site first, but directly performs pain relief for the injured with a fracture, the AI ​​model may infer that this operation may cause further displacement of the fracture site and generate corresponding theoretical state information (such as increasing the pain level of the injured and causing secondary injury).

[0068] For example, based on the "theoretical state after treatment" generated by the AI ​​model, the system will update the patient's injury status information in real time. This status update not only reflects the impact of the current operation on the patient, but also serves as feedback to help medical staff understand the consequences of non-standard operations. For example, if a nurse does not properly handle a fractured patient, the AI ​​model predicts that this operation will cause the patient's pain to increase and the fracture to worsen. The system then updates the patient's status, increases the patient's pain index, and displays adverse changes in the patient's condition, such as worsening vital signs.

[0069] For example, the system will not only update the status of the injured in real time, but also remind medical staff of the potential risks of the current operation through feedback, and show the correct handling process. This helps medical staff learn from mistakes and improve the accuracy of emergency treatment. For example, the emergency doctor did not promptly treat the injured with airway obstruction, causing the injured person's breathing difficulties to worsen. The AI ​​model calculated that the operation would aggravate the condition of the injured, and the system immediately fed back to the doctor, and recommended re-airway management, showing the standard operating procedures.

[0070] It is understandable that by introducing the AI ​​model, the system no longer relies on a single standard process, and can flexibly respond to various non-standard operations of medical staff and generate corresponding consequence feedback. This greatly enhances the intelligence and adaptability of the training system. The AI ​​model is trained based on a large amount of medical data, and can simulate the theoretical results under different treatment behaviors, allowing medical staff to understand the various consequences of their operations, which enhances the realism and challenge of the training. Through the theoretical status information and timely feedback generated after non-standard operations, medical staff can more intuitively understand the impact of incorrect operations, helping them to correct errors in a virtual environment, thereby improving their emergency response capabilities in real scenarios.

[0071] For example, when an emergency doctor treated a patient in shock, he did not follow the standard procedure to monitor vital signs first, but directly transfused blood. By analyzing the operation and the patient's current state, the AI ​​model inferred that this error may cause the patient's blood pressure to be unstable, and generated a theoretical state: shock worsens, blood pressure drops sharply. The system then updates this theoretical state to the patient's current state, and prompts the doctor to prioritize stabilizing vital signs.

[0072] For example, when a nurse treated a patient with multiple fractures, she did not follow the standard procedure to fix the limbs, but directly performed analgesia. The AI ​​model predicted that this operation might cause displacement or further damage to the fracture site, and generated a corresponding theoretical state, showing that the patient's pain level was aggravated. After updating the patient's status, the system immediately fed back the correct operation process and reminded the nurse to perform the fixation operation.

[0073] It is understandable that by predicting the impact of non-standard operations through AI models and generating theoretical status information, the system is able to provide medical staff with a flexible training feedback mechanism. This not only simulates complex and changeable emergency scenarios, but also helps medical staff better understand the actual consequences of their operations, providing a more challenging and realistic training experience.

[0074] In some examples, this also includes:

[0075] In the case that the updated injury status information of the simulated injured person based on the post-treatment theoretical status information is worse than the earlier injury status information, querying the corresponding knowledge point based on the earlier injury status information and the associated ideal treatment process;

[0076] Sending the knowledge point to the user;

[0077] An association is established between the knowledge point and the user, so that when the user performs an emergency simulation again, target injury status information is generated for the simulated injured person based on the knowledge point, the target injury status information is different from the previous injury status information, and the diagnosis and treatment of the target injury status information requires mastering the knowledge point.

[0078] It is understandable that the system further introduces the mechanism of "knowledge point feedback and personalized association". When the operation of medical staff causes the condition of simulated casualties to become worse, the system will automatically retrieve relevant medical knowledge points and push these knowledge points to users to help them understand incorrect operations and how to deal with them. In addition, the system will establish an association between these knowledge points and users, and generate situations related to these knowledge points in subsequent simulations, prompting users to master the corresponding knowledge and skills.

[0079] For example, when the operation of medical staff makes the updated injury status of the injured person worse than the previous status (for example, the operation error causes the condition to worsen), the system will automatically query the medical knowledge points related to this situation based on the current injury status and the ideal treatment process. For example, an emergency nurse failed to stop the bleeding in time when dealing with a wounded person with excessive blood loss, causing the wounded person to go into shock. After the system identified this erroneous operation, it queried the medical knowledge points related to excessive blood loss and shock management, and pushed these knowledge points to the nurse.

[0080] For example, the system will send the queried knowledge points to the user interface through the virtual platform to help medical staff quickly obtain the required knowledge to correct errors. For example, in the above example, the system pushes the relevant knowledge points on how to manage blood loss and prevent shock to the nurse, and describes in detail the methods of stopping bleeding, the timing of infusion, etc., to help the nurse understand the correct treatment method.

[0081] For example, the system will record the user's incorrect operations in the simulation and associate the relevant knowledge points with the user. In subsequent simulation training, the system will generate new simulation scenarios for users based on these knowledge points, forcing users to face similar medical challenges again to ensure that they master relevant knowledge and skills. For example, in the next simulation, the system may generate another scenario for the nurse of a patient with excessive blood loss, but in this scenario, the patient's symptoms will be more complicated, requiring the nurse to master the previously recommended knowledge points in order to make the correct treatment.

[0082] For example, in subsequent simulations, the system will generate "target injury status information" based on the knowledge points associated with the user. This information will be different from the injury status previously handled by the user, and the user needs to have the recommended knowledge points to effectively diagnose and treat. For example, in the above example, the next simulation scenario may involve a complex multiple trauma patient, and the nurse needs to combine the previously recommended blood loss management knowledge to quickly and effectively diagnose and treat in the new situation.

[0083] It is understandable that the system can automatically identify the user's incorrect operations in the simulation, and push relevant knowledge points according to the error scenario, realizing a personalized learning and feedback mechanism. Medical staff can correct mistakes in time and improve their operational capabilities by learning relevant knowledge. By associating knowledge points with the user's simulated operations, the system ensures that medical staff not only learn relevant content in theory, but also consolidate and master this knowledge through practice in subsequent actual simulated operations. The system can generate new target casualty status based on the user's historical operations, dynamically adjust the simulation scenario, enhance the pertinence and challenge of training, and allow medical staff to constantly deal with new problems and complex situations.

[0084] For example, the emergency doctor failed to promptly treat the patient with airway obstruction in the simulation scenario, resulting in respiratory failure. After the system identified the error, it pushed knowledge points about airway management, such as how to prioritize airway patency assessment and how to perform airway intubation. Subsequently, the system generated a complex patient with airway obstruction in the doctor's next simulation, and the doctor needed to combine the previous knowledge points to successfully treat the patient.

[0085] For example, when dealing with a wounded person with severe emotional fluctuations, the psychological counselor failed to use effective psychological intervention techniques, which led to the deterioration of the wounded person's mental state. The system pushed knowledge points about psychological intervention, introducing how to deal with post-traumatic stress disorder (PTSD) and how to conduct crisis intervention. In the next simulation, the system generated another situation of a wounded person with psychological trauma, and the psychological counselor needed to apply the knowledge learned previously to conduct correct intervention.

[0086] It is understandable that the system helps medical staff to continuously learn and improve their operation skills in simulation operations through knowledge point feedback and personalized association. The system not only provides instant feedback, but also associates knowledge points with user operations, prompting users to master relevant skills in subsequent simulations and improve their comprehensive emergency response capabilities.

[0087] In some examples, the ideal treatment process includes an ideal treatment time, and all medical roles included in each ideal treatment process share the ideal treatment time of the ideal treatment process. The ideal treatment time, the actual time of themselves and other medical roles, and the current remaining time are synchronously displayed to all medical roles included in the same ideal treatment process.

[0088] It is understandable that the ideal treatment process not only includes standard treatment steps and sequences, but also incorporates the concept of ideal treatment time to ensure that each medical role in the team can complete their respective tasks within the specified time, thereby improving overall treatment efficiency. The system will simultaneously display the ideal treatment time, the actual time of each role, and the current remaining total time, allowing the team to more intuitively understand their performance and the gap with the ideal state.

[0089] For example, the ideal treatment process not only includes the standard steps that each medical role should perform, but also assigns a common ideal treatment time to the entire team, which is the time frame set by the system to complete the task under the best circumstances. For example, in a multi-casualty accident, the system sets the ideal total treatment time to be 10 minutes. Emergency doctors need to check vital signs within 2 minutes, nurses need to stop bleeding within 3 minutes, and psychologists need to provide mental intervention within 5 minutes. The cumulative time should not exceed 10 minutes.

[0090] For example, the system records the operation time of each medical role in the actual simulation and compares it with the ideal treatment time. At the same time, the system also displays the actual time and the total time currently remaining for each medical role to ensure the overall time management of the team. For example, if the emergency doctor spends 3 minutes instead of 2 minutes to check the vital signs of the injured, the system will synchronously display the doctor's actual time and remind the team that the remaining time has been reduced to 7 minutes. Nurses and psychological counselors can also see this change and adjust their operation speed.

[0091] For example, the system will synchronize the operation time of all medical roles to everyone in the team. This means that each team member can not only see their own time, but also the actual time and remaining total time of other roles. In this way, medical staff can better coordinate and cooperate, and speed up or optimize the process when the treatment time is about to run out. For example, in an emergency scenario, the emergency nurse completes the hemostasis operation 1 minute faster than expected, and other members of the team will receive this information synchronously, so that they can better use the extra 1 minute for further treatment.

[0092] For example, after the simulation is over, the system will generate a detailed time management feedback report based on the comparison of each role's actual time with the ideal time. This report can help the medical team understand their strengths and weaknesses in time management, prompting them to optimize treatment time in future simulations. For example, if the emergency team spends too much time on a certain step in a simulation, the system will suggest in the feedback report how to complete the relevant operations faster in the next simulation, helping the team to be more efficient in overall time management.

[0093] It is understandable that by synchronously displaying the actual time, ideal time, and remaining time of each team member, the system prompts each medical role to be more time-conscious, helping them to cooperate efficiently in emergency response, shorten ineffective time, and improve overall emergency efficiency. Team members can view each other's operation time in real time, allowing them to better adjust their own operation speed, cooperate with the progress of other members, and ensure the overall optimization of the team's treatment time. Real-time time feedback and comparison allow medical staff to adjust their operations instantly in the simulation, helping them make faster and more effective decisions in complex emergency scenarios.

[0094] For example, in a traffic accident simulation, emergency doctors, nurses, and psychologists need to complete the treatment process within 10 minutes. The ideal process requires doctors to check vital signs within 2 minutes, nurses to stop bleeding within 3 minutes, and psychologists to comfort traumatized patients within 5 minutes. If the doctor takes 3 minutes to check vital signs, the system will synchronously update the remaining time, showing that the team has 7 minutes left, and other members will also see this change and speed up their operations.

[0095] For example, in a simulation of a multi-casualty accident, if the emergency nurse completes the hemostasis operation 1 minute ahead of schedule, the system will immediately synchronize this information, showing that the team currently has an extra minute of operation time. Other members can adjust their operation sequence or perform more inspections in a timely manner based on this situation.

[0096] It is understandable that by introducing the "ideal treatment time" and displaying the operation time of each medical role in real time, the system not only helps the team improve time management capabilities, but also enhances the collaboration and cooperation between medical staff. This mechanism can effectively optimize the overall emergency response process and improve the team's response speed and efficiency in emergency situations.

[0097] In some examples, the execution time of the standard treatment information is less than the theoretical execution time corresponding to the real treatment, and the execution time of different types of standard treatment information is proportionally shortened relative to their corresponding theoretical execution time.

[0098] It is understandable that the execution time of the standard disposal information set in the system (i.e., the ideal execution time) is proportionally shortened compared to the theoretical execution time in reality. The purpose of this design is to speed up the pace in the simulation scenario and enhance the training effect, while ensuring that the proportion of shortening the time for different types of disposal tasks is consistent, ensuring that the time allocation between tasks is reasonable and in line with the logic of actual emergency operations.

[0099] Exemplarily, the system sets a standard execution time for each treatment task, which is the time required to complete the task under ideal circumstances. The standard execution time is proportionally shortened compared to the theoretical execution time in reality (i.e., the average time to actually complete the task in a real medical environment). For example, in reality, it may take 10 minutes for an emergency doctor to perform a preliminary examination and complete hemostasis for a bleeding patient. In a simulation scenario, the standard treatment time can be set to 6 minutes, a 40% reduction.

[0100] For example, different types of treatment tasks (such as preliminary examination, hemostasis, fracture fixation, infusion, etc.) will be shortened in the same proportion. This ensures that the rhythm of the entire simulation process remains consistent, and the overall rhythm will not be disrupted because a certain type of task is too long or too short. For example, in a multi-injured emergency treatment scenario, the execution time of all tasks such as the doctor's vital signs check, the nurse's wound dressing, and the psychological counselor's intervention is shortened by 40% compared to the theoretical time, making the entire simulation process compact but not losing authenticity.

[0101] For example, shortening the execution time can increase the sense of urgency in simulation training, prompting medical staff to respond and make decisions quickly in a high-pressure environment. This helps them improve their time management and task handling capabilities in actual emergencies. For example, in a standard scenario, an emergency doctor may have ample time to carefully check the vital signs of the injured, but in a simulation environment, due to the shortened execution time, the doctor must complete the inspection work efficiently in a shorter time, thereby improving the speed of emergency response.

[0102] For example, the system will provide feedback on time management based on the user's actual performance after each simulation. If the user fails to complete the task under shortened time, the system will analyze its operation steps and provide optimization suggestions to help the user better allocate time in the next training. For example, if the nurse fails to complete the hemostasis treatment within the prescribed standard time, the system will provide feedback and suggest how to select hemostasis tools faster and simplify the operation steps to improve efficiency.

[0103] It is understandable that by proportionally shortening the execution time of different disposal tasks, the system creates a tense emergency atmosphere in the simulation, prompting medical staff to improve their emergency response speed under pressure and adapt to the work rhythm in a high-pressure environment. The proportional shortening of the execution time of different types of tasks ensures the consistency of the rhythm of the entire emergency disposal process, and does not affect the overall training effect due to the extreme adjustment of a certain task time. This design ensures the continuity of training and the reasonable allocation of tasks. The time-shortening mechanism allows medical staff to quickly identify their shortcomings in time management, and with the feedback and guidance of the system, improve their operations and decisions in a targeted manner, and improve efficiency in future simulations and actual work.

[0104] For example, in a simulation of emergency response to a serious car accident, the emergency doctor needs to complete a full-body examination of the injured and start a hemostasis procedure within a standard shortened time (such as 6 minutes). In reality, this operation may take 10 minutes, but the shortened time allows doctors to operate under higher pressure and train their quick response and decision-making abilities. At the same time, the task time of nurses and psychological counselors is also shortened accordingly to ensure that the overall time rhythm of the team is consistent.

[0105] For example, in a simulated scenario of dealing with an explosion accident, the system shortened the psychological intervention time of a counselor from 20 minutes in theory to 12 minutes. Although the time is reduced, counselors still need to complete key intervention tasks within a limited time, such as comforting the wounded and assessing psychological trauma. This time pressure prompts counselors to improve their efficiency and learn how to make emergency psychological decisions quickly in a high-pressure environment.

[0106] See also Figure 2 , an embodiment of a standardized training device for emergency treatment in a batch hospital of the present application may include:

[0107] The simulation unit 21 is used to generate a corresponding virtual reality scene and a plurality of simulated injured persons associated with the virtual reality scene based on the emergency medical scene type selected by the user, each simulated injured person being associated with specific injury status information for display and an ideal treatment process that is not displayed;

[0108] The treatment unit 22 is used to obtain simulated treatment information of the simulated injured person by users associated with different medical role categories in the virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles;

[0109] The synchronization unit 23 is used to update the injury status information of the simulated injured person in response to different simulated treatment information, and synchronize the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process.

[0110] In summary, the standardized training device for emergency treatment of batch injuries in hospitals provided by the embodiment of the present application generates a corresponding virtual reality scene and multiple simulated injured persons associated with the virtual reality scene based on the type of emergency medical scene selected by the user, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed; obtains simulated treatment information of the simulated injured person by users associated with different medical role categories in the virtual emergency medical scene, the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequences of at least two medical roles; updates the injury status information of the simulated injured person in response to different simulated treatment information, and synchronizes the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process. As a result, the virtual reality scene simulation can realistically reproduce the multi-injured event in the emergency medical environment, allowing medical staff to operate in an immersive experience of multiple senses such as vision and hearing. In this way, training can be free from the constraints of real conditions, and the treatment behavior of medical staff on the wounded can be recorded in real time. The injury status of the wounded can be dynamically adjusted according to the treatment steps and quality of the medical staff, and their emergency response capabilities can be evaluated. Virtual scenes do not require the consumption of actual resources, which greatly reduces the cost of drills and does not affect the daily work of the hospital. After each operation, the system provides detailed feedback to help medical staff understand the deficiencies in the operation and make timely improvements. The multi-person collaborative training mode improves the coordination and efficiency of the team's emergency response. Different types of accidents or environments can be simulated, enabling medical staff to cope with various complex emergency scenarios. .

[0111] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any one of the above-mentioned methods for standardized training of emergency treatment in batches of injured hospitals are implemented:

[0112] Based on the emergency medical scenario type selected by the user, a corresponding virtual reality scenario and multiple simulated injured persons associated with the virtual reality scenario are generated, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed;

[0113] Acquire simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors, and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles;

[0114] In response to different simulated treatment information, the injury status information of the simulated injured person is updated, and the updated injury status information is synchronized to the user terminals corresponding to all medical roles associated with the ideal treatment process.

[0115] Since the electronic device introduced in this embodiment is a device used to implement a standardized training device for emergency treatment in a batch of casualties hospital in the embodiment of this application, based on the method introduced in the embodiment of this application, the technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of this application is not introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of this application is within the scope of protection of this application.

[0116] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation method in the corresponding embodiment:

[0117] Based on the emergency medical scenario type selected by the user, a corresponding virtual reality scenario and multiple simulated injured persons associated with the virtual reality scenario are generated, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed;

[0118] Acquire simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors, and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles;

[0119] In response to different simulated treatment information, the injury status information of the simulated injured person is updated, and the updated injury status information is synchronized to the user terminals corresponding to all medical roles associated with the ideal treatment process.

[0120] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0121] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0122] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0123] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0124] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0125] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of standardized training for emergency response in mass casualties hospital in the corresponding embodiment.

[0126] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0127] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0129] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0130] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0131] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0132] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A standardized training method for emergency response in mass casualty hospitals, characterized in that: include: Based on the emergency medical scenario type selected by the user, a corresponding virtual reality scenario and multiple simulated injured persons associated with the virtual reality scenario are generated, each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed; Acquire simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors, and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles; In response to different simulated treatment information, the injury status information of the simulated injured person is updated, and the updated injury status information is synchronized to the user terminals corresponding to all medical roles associated with the ideal treatment process.

2. The method according to claim 1, characterized in that Also includes: In response to a role switching request from the user terminal, switching the role of a user associated with the user terminal; In the case that the switched medical role is different from the real medical role associated with the user, the standard treatment information corresponding to the switched medical role in the ideal treatment process of each simulated injured person is displayed to the user.

3. The method according to claim 1, characterized in that The updating of the injury status information of the simulated injured person in response to different simulated treatment information includes: When the simulated treatment information matches the standard treatment information and the standard treatment sequence, the injury status information of the simulated injured person is updated based on the preset post-treatment status information.

4. The method according to claim 1, characterized in that The updating of the injury status information of the simulated injured person in response to different simulated treatment information includes: In the case where the simulated treatment information does not match the standard treatment information and the standard treatment sequence, the AI ​​model generates the post-treatment theoretical state information based on the current injury state information associated with the simulated injured person and the simulated treatment information; The injury status information of the simulated injured person is updated based on the theoretical status information after treatment.

5. The method according to claim 4, characterized in that Also includes: In the case that the updated injury status information of the simulated injured person based on the post-treatment theoretical status information is worse than the earlier injury status information, querying the corresponding knowledge point based on the earlier injury status information and the associated ideal treatment process; Sending the knowledge point to the user; An association is established between the knowledge point and the user, so that when the user performs an emergency simulation again, target injury status information is generated for the simulated injured person based on the knowledge point, the target injury status information is different from the previous injury status information, and the diagnosis and treatment of the target injury status information requires mastering the knowledge point.

6. The method according to any one of claims 1 to 5, characterized in that The ideal treatment process includes an ideal treatment time. All medical roles included in each ideal treatment process share the ideal treatment time of the ideal treatment process. The ideal treatment time, the actual time of themselves and other medical roles, and the current remaining time are synchronously displayed to all medical roles included in the same ideal treatment process.

7. The method according to any one of claims 1 to 5, characterized in that The execution time of the standard processing information is shorter than the theoretical execution time corresponding to the real processing, and the execution time of different types of standard processing information is shortened in equal proportion to the corresponding theoretical execution time.

8. A standardized training device for emergency treatment in batches of injured people in hospitals, characterized in that: include: A simulation unit, for generating a corresponding virtual reality scene and a plurality of simulated injured persons associated with the virtual reality scene based on the type of emergency medical scene selected by the user, wherein each simulated injured person is associated with specific injury status information for display and an ideal treatment process that is not displayed; A treatment unit, used for obtaining simulated treatment information of the simulated injured person by users associated with different medical role categories in a virtual emergency medical scene, wherein the medical role categories include emergency nurses, emergency doctors and psychological counselors, and each of the ideal treatment processes includes standard treatment information and standard treatment sequence of at least two medical roles; The synchronization unit is used to update the injury status information of the simulated injured person in response to different simulated treatment information, and synchronize the updated injury status information to the user terminals corresponding to all medical roles associated with the ideal treatment process.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the standardized training method for emergency treatment in mass casualties hospitals as described in any one of claims 1-7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the standardized training method for emergency treatment in mass casualties hospital as described in any one of claims 1-7.

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