Pre-hospital and in-hospital emergency dispatching method and system for serious trauma

Abstract

The invention relates to a pre-hospital and in-hospital emergency dispatching method and system for severe trauma. A pre-hospital wiring center receives accident description information and analyzes the number of people with severe trauma; the pre-hospital dispatching center dispatches an emergency ambulance; the emergency ambulance-mounted terminal obtains a camera record of a patient at an accident site for field emergency guidance of medical staff in a hospital, collects basic information, vital signs and injury information of the patient, corrects and perfects the information, and analyzes the corrected and perfected information to obtain serious trauma information; the in-hospital trauma emergency center automatically registers for the patient; the emergency ambulance-mounted terminal obtains the emergency treatment time in the hospital and informs the trauma emergency center in the hospital; the in-hospital trauma emergency center corrects and perfects the serious trauma information of the patient, inputs the to-be-examined inspection item and the predicted arrival time of the patient, notifies the inspection center, and transmits the corrected and perfected serious trauma information and the inspection and inspection result of the patient to the model for illness state pre-judgment and decision-making, so as to determine a final to-be-operated item; and informing an operating room center and an anesthesiology center.

Description

Technical Field

[0001] The present invention relates to the technical field of trauma emergency treatment, and in particular to a method and system for dispatching pre-hospital and in-hospital emergency treatment for severe trauma. Background Art

[0002] Early and effective treatment of severe trauma is the key, and time is life. The smooth green channel is one of the keys to the early and effective treatment of patients with severe trauma. The current emergency treatment process for severe trauma is: someone at the scene of the accident calls the 120 emergency number. After receiving the call, the 120 emergency call center will understand the situation and then notify the relevant personnel to arrange an ambulance to the scene. The ambulance will send the injured on the scene to the emergency department of the hospital. The emergency surgery department will open a green channel for patients with severe trauma for emergency treatment and conduct necessary auxiliary examinations such as CT examinations. However, the green channel is often blocked due to the lack of smooth information before and after the hospital, such as queuing for registration, waiting for examination, long blood transfusion time, insufficient preparation of the operating room, etc., which wastes a lot of time and seriously hinders the rescue of trauma patients. The existing implementation process is relatively scattered, which will prolong the entire emergency time, and the patient's information cannot be transmitted to the in-hospital emergency center at the accident site and on the ambulance. The in-hospital emergency center cannot make arrangements in advance and cannot help patients register in advance, resulting in a disconnection between pre-hospital emergency and in-hospital emergency, which is not conducive to timely emergency treatment of patients. Based on this, the present invention designs a pre-hospital and in-hospital emergency dispatching method and system for severe trauma, which connects various links between pre-hospital and in-hospital, strengthens the seamless connection of pre-hospital and in-hospital emergency, and realizes the effective use of medical resources. Summary of the invention

[0003] In view of the problems and shortcomings of the prior art, the present invention provides a pre-hospital and in-hospital emergency dispatching method and system for severe trauma.

[0004] The present invention solves the above technical problems through the following technical solutions:

[0005] The present invention provides a pre-hospital and in-hospital emergency dispatching method for severe trauma, which is characterized by comprising:

[0006] S1. The pre-hospital call center receives the accident description information and uses the accident trauma analysis to analyze the accident description information using a large language model to obtain the accident location and the number of serious injuries;

[0007] S2. The pre-hospital dispatch center dispatches the number of emergency vehicles and pre-hospital medical staff per vehicle to match the number of severe injuries and notifies the in-hospital trauma emergency center;

[0008] S3. The emergency vehicle terminal of each emergency vehicle obtains the departure time, the arrival time at the accident scene, and the video recording of the patient at the accident scene, and transmits them to the in-hospital trauma emergency center for in-hospital medical staff to provide on-site first aid guidance for the patient. It also collects the basic information, vital signs, and injury information of the patient for pre-hospital medical staff to revise and improve. The large language model for trauma information analysis is used to analyze the revised and improved information to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type, and severity.

[0009] S4. The in-hospital trauma emergency center automatically registers for the patient using the patient's basic information.

[0010] S5. The emergency vehicle terminal of each emergency vehicle obtains the arrival time at the in-hospital emergency department and notifies the in-hospital trauma emergency center, enabling in-hospital medical staff to prepare for first aid.

[0011] S6. The in-hospital trauma emergency center allows in-hospital medical staff to revise and improve the severe trauma information of the patient, input the items to be examined and tested for the patient and the estimated arrival time, and respectively notify the corresponding examination and testing centers to open a green channel for the patient.

[0012] S7. The in-hospital trauma emergency center inputs the revised and improved severe trauma information and examination and testing results of the patient into the large language model for disease condition prediction and decision-making, decides the items to be operated on, and after being revised and improved by in-hospital medical staff, determines the final items to be operated on and the estimated arrival time, and respectively notifies the operating room center and the anesthesiology department center to open a green channel for the patient.

[0013] The present invention also provides a pre-hospital and in-hospital emergency dispatch system for severe trauma, characterized in that it includes a pre-hospital connection center, a pre-hospital dispatch center for vehicle departure, an emergency vehicle terminal on the emergency vehicle, an in-hospital trauma emergency center, an examination and testing center, an operating room center, and an anesthesiology department center.

[0014] The pre-hospital connection center is used to receive accident description information, and uses the large language model for accident trauma analysis to analyze the accident description information to obtain the accident location and the number of people with severe trauma.

[0015] The pre-hospital dispatch center for vehicle departure is used to dispatch the number of emergency vehicles and the number of pre-hospital medical staff in each vehicle that match the number of people with severe trauma, and notify the in-hospital trauma emergency center.

[0016] The emergency vehicle terminal of each emergency vehicle is used to obtain the departure time, the arrival time at the accident scene, and the video recording of the patient at the accident scene, and transmit them to the in-hospital trauma emergency center for in-hospital medical staff to provide on-site first aid guidance for the patient. It also collects the basic information, vital signs, and injury information of the patient for pre-hospital medical staff to revise and improve. The large language model for trauma information analysis is used to analyze the revised and improved information to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type, and the severity level.

[0017] The in-hospital trauma emergency center is used to automatically register a patient using the patient's basic information.

[0018] The emergency vehicle terminal of each emergency vehicle is used to obtain the arrival time at the in-hospital emergency department and notify the in-hospital trauma emergency center, so that the in-hospital medical staff can prepare for first aid.

[0019] The in-hospital trauma emergency center is used for in-hospital medical staff to revise and improve the severe trauma information of the patient, input the items to be examined and tested for the patient and the expected arrival time, and separately notify the corresponding inspection and testing centers to open a green channel for the patient.

[0020] The in-hospital trauma emergency center is used to input the revised and improved severe trauma information and inspection and testing results of the patient into the large language model for disease condition prediction and decision-making, decide the items to be operated on, and after being revised and improved by the in-hospital medical staff, determine the final items to be operated on and the expected arrival time, and separately notify the operating room center and the anesthesiology department center to open a green channel for the patient.

[0021] The positive and progressive effects of the present invention are as follows:

[0022] The pre-hospital connection center of the present invention uses the large language model for accident trauma analysis to analyze the received accident description information, can obtain the accident location and the number of severely injured people, and send them to the pre-hospital dispatch center for emergency vehicles at the first time. The pre-hospital dispatch center for emergency vehicles can learn about the accident and the number of severely injured people at the first time, dispatch the corresponding number of emergency vehicles at the first time, and at the same time send this message to the in-hospital trauma emergency center, so that the in-hospital trauma emergency center can learn about the accident and that there will be severely injured patients sent to the hospital, and the hospital can arrange relevant emergency personnel in time.

[0023] After the emergency vehicle of the present invention arrives at the scene, it can take pictures of the scene, and the in-hospital medical staff at the in-hospital trauma emergency center can provide on-site first aid guidance, realizing remote first aid guidance and enabling better first aid for the patient.

[0024] Before the patient arrives at the hospital, the in-hospital trauma emergency center of the present invention can automatically register the patient using the patient's basic information, shortening the entire first aid time.

[0025] When the emergency ambulance of the present invention arrives at the hospital, it will promptly notify the in-hospital trauma emergency center, enabling the in-hospital medical staff to make preparations for first aid.

[0026] When the present invention determines that the patient needs to undergo examinations, the in-hospital trauma emergency center will promptly notify the corresponding examination and inspection centers of the examinations and inspection items to be performed on the patient and the estimated arrival time, allowing the examination and inspection centers to open a green channel for the patient and make preparations for the examinations in advance.

[0027] When the present invention determines that the patient needs to undergo surgery, the in-hospital trauma emergency center will promptly notify the corresponding operating room center and anesthesiology department center of the surgical procedures and the estimated arrival time of the patient, allowing the operating room center and anesthesiology department center to open a green channel for the patient and make preparations before the surgery and before anesthesia in advance.

[0028] The present invention utilizes a large language model to accurately analyze relevant trauma information and improve the overall first aid efficiency.

[0029] The in-hospital trauma first aid team of the present invention makes effective dispatching based on the number of traumas and the severity of traumas at the accident scene, and guides the on-site first aid personnel to carry out first aid work.

[0030] The present invention strengthens the seamless connection between pre-hospital and in-hospital first aid and realizes the effective utilization of medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a structural block diagram of a pre-hospital and in-hospital first aid dispatching system according to a preferred embodiment of the present invention.

[0032] Figure 2 It is a flowchart of a pre-hospital and in-hospital first aid dispatching method according to a preferred embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0034] As Figure 1 and Figure 2 shown, this embodiment provides a pre-hospital and in-hospital first aid dispatching method for severe traumas, which is realized by information interaction among a pre-hospital connection center, a pre-hospital dispatch center for ambulances, an emergency vehicle terminal on the ambulance, an in-hospital trauma emergency center, an examination and inspection center, an operating room center, an anesthesiology department center, and a general control center.

[0035] AsFigure 2 As shown in Figure 2 , the pre - hospital and in - hospital emergency dispatch method for severe trauma specifically includes the following steps:

[0036] Step 101: The pre - hospital connection center receives accident description information, analyzes the accident description information using a large - language model for accident trauma analysis, and obtains the accident location, the number of injured people, and the number of severely injured people.

[0037] In this step, the pre - hospital connection center receives accident description information in voice form, uses speech recognition technology to generate accident description information in text form, corrects the accident description information in text form to generate standard text - form accident description information, analyzes the standard text - form accident description information using a large - language model for accident trauma analysis, obtains the accident location, the number of injured people, and the number of severely injured people, and transmits them to the pre - hospital ambulance dispatch center;

[0038] In this step, when the pre - hospital connection center obtains the number of injured people and the number of severely injured people, if the number of severely injured people ≥ the first set number or the number of injured people ≥ the second set number, the accident information of this time is reported to the relevant responsible person or relevant department, and the second set number > the first set number. For example, if the number of severely injured people is greater than or equal to 2 or the number of injured people is greater than or equal to 5, it is considered that a mass incident has occurred and needs to be reported.

[0039] In this step, the pre - hospital connection center uploads the connection time, accident description information, accident location, the number of injured people, and the number of severely injured people to the total control center for summary storage.

[0040] In this step, the large - language model for accident trauma analysis is a large - language model trained using historical accident description information and corresponding historical accident trauma extraction information. Moreover, the accident description information, the corresponding accident location, the number of injured people, and the number of severely injured people in this step are regularly input into the large - language model for accident trauma analysis to train and update the model, so that the extraction and analysis ability of the large - language model for accident trauma analysis becomes better and better.

[0041] Step 102: Judge whether the number of severely injured people is not zero. If it is, enter Step 103; if not, enter Step 103'.

[0042] Step 103: The pre - hospital ambulance dispatch center dispatches the number of ambulances and the number of pre - hospital medical staff per vehicle that is the same as the number of severely injured people for severe trauma; for non - severe trauma, it dispatches n ambulances and the number of pre - hospital medical staff per vehicle, and notifies the in - hospital trauma emergency center, where n = the number of non - severely injured people at the accident scene / the preset number of non - severely injured patients that can be accommodated per vehicle, the number of non - severely injured people at the accident scene = the number of injured people at the accident scene - the number of severely injured people. When n is a non - positive integer, n = the integer part of n plus 1, and then enter Step 104.

[0043] In this step, the pre-hospital dispatch center uploads the dispatch time, the number of ambulances dispatched for severe trauma and the number of pre-hospital medical staff per ambulance, the number of ambulances dispatched for non-severe trauma and the number of pre-hospital medical staff per ambulance to the general control center for centralized storage.

[0044] Step 103’: The pre-hospital dispatch center dispatches n ambulances and the number of pre-hospital medical staff per ambulance for non-severe trauma and notifies the in-hospital trauma emergency center, then enters Step 104’.

[0045] In this step, the pre-hospital dispatch center uploads the dispatch time, the number of ambulances dispatched for non-severe trauma and the number of pre-hospital medical staff per ambulance to the general control center for centralized storage.

[0046] Step 104: The in-ambulance terminal of each ambulance obtains the departure time, the arrival time at the accident scene and the video record of the patient at the accident scene and transmits them to the in-hospital trauma emergency center for in-hospital medical staff to conduct on-site first aid guidance for the patient. It also collects the basic information, vital signs and injury information of the patient with severe trauma and provides them for pre-hospital medical staff to revise and improve. The large language model for trauma information analysis is used to analyze the revised and improved information to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type and severity. For non-severe trauma, the basic information of the patient is collected, and then enters Step 105.

[0047] In this step, the basic information includes gender, identity information, etc., and the vital signs include blood pressure, blood oxygen, heart rate, etc. For patients with severe trauma, their basic information, vital signs and injury information are collected, and the severe trauma information of the patient is obtained; for patients with non-severe trauma, only their basic information is collected.

[0048] In this step, the in-ambulance terminal directly inputs or scans the patient's ID card information or medical insurance card information to obtain the patient's identity information. Or, the in-ambulance terminal uses face recognition technology to identify the patient's face information and uploads it to the general control center, and the general control center calls the face database to match the patient's face information to obtain the patient's identity information. Or, the in-ambulance terminal uses fingerprint recognition technology to identify the patient's fingerprint information and uploads it to the general control center, and the general control center calls the fingerprint database to match the patient's fingerprint information to obtain the patient's identity information.

[0049] In this step, the vital signs and injury information of the patient can be collected by voice and revised and improved by pre-hospital medical staff.

[0050] In this step, the large language model for trauma information analysis is a large language model trained using the basic information, vital signs, injury information of historical patients, and corresponding historical trauma information. Moreover, the basic information, vital signs, injury information, and corresponding severe trauma information corrected and improved in this step will be regularly input into the large language model for trauma information analysis to train and update the model, making the extraction and analysis ability of the large language model for trauma information analysis better and better.

[0051] In this step, each first aid vehicle terminal uploads its departure time, arrival time at the accident scene, video recording of the patient at the accident scene, basic information, vital signs, injury information, severe trauma information of the patient before and after correction and improvement, arrival time at the in-hospital emergency department, and information notifying the in-hospital trauma emergency center to the central control center for summary storage.

[0052] Step 104’: The first aid vehicle terminal of each first aid vehicle corresponding to non-severe trauma obtains the departure time, arrival time at the accident scene, and video recording of the patient at the accident scene and transmits them to the in-hospital trauma emergency center for on-site first aid guidance by in-hospital medical staff. The first aid vehicle terminal collects the basic information of the patient and enters Step 105’.

[0053] Step 105: The in-hospital trauma emergency center automatically registers the patient using the patient's identity information and enters Step 106.

[0054] In this step, the patient is automatically registered before arriving at the hospital, saving first aid time.

[0055] Step 105’: The in-hospital trauma emergency center automatically registers the patient using the patient's identity information and enters Step 106’.

[0056] Step 106: The first aid vehicle terminal of each first aid vehicle obtains the arrival time at the in-hospital emergency department and notifies the in-hospital trauma emergency center to enable in-hospital medical staff to prepare for first aid.

[0057] Step 106’: The first aid vehicle terminal of each first aid vehicle corresponding to non-severe trauma obtains the arrival time at the in-hospital emergency department and notifies the in-hospital trauma emergency center to enable in-hospital medical staff to prepare to receive first aid, and the process ends.

[0058] Step 107: The in-hospital trauma emergency center enables in-hospital medical staff to correct and improve the severe trauma information of the patient, input the pending examination and test items of the patient and the expected arrival time, and respectively notify the corresponding examination and test centers to open a green channel for the patient.

[0059] In this step, voice interaction can be carried out between the in-hospital trauma emergency center and the examination and testing center. The in-hospital trauma emergency center allows in-hospital medical staff to input the examination and testing items to be performed on the patient and the estimated arrival time by voice, and can notify the corresponding examination and testing center by voice to open a green channel for the patient and make preparations in advance.

[0060] After a severely injured patient arrives at the in-hospital trauma emergency center, effective rescue measures are immediately taken: electrocardiogram monitoring, oxygen inhalation, artificial airway, etc. If a whole-body CT examination, radiology imaging examination, blood transfusion test, etc. are required, the imaging center, testing center, and blood transfusion department can be notified in advance by voice to make corresponding preparations.

[0061] Step 108: The in-hospital trauma emergency center inputs the revised and improved severe trauma information and examination and testing results of the patient into the large language model for disease condition prediction and decision-making. The surgical items to be performed are decided, and after being revised and improved by in-hospital medical staff, the final surgical items to be performed and the estimated arrival time are determined, and the operating room center and the anesthesiology department center are respectively notified to open a green channel for the patient, and the process ends.

[0062] In this step, the in-hospital trauma emergency center uploads the registration information of each patient, the examination and testing items to be performed and their estimated arrival time, the revised and improved severe trauma information, the examination and testing results, the disease condition prediction and decision-making information, the surgical items to be performed, and the information notifying the operating room center and the anesthesiology department center to the central control center for storage.

[0063] In this step, the large language model for disease condition analysis is a large language model trained using historical severe trauma information, examination and testing results, and corresponding historical disease condition analysis results. Regularly input the revised and improved severe trauma information and examination and testing results and the corresponding revised and improved disease condition prediction and decision-making information in this step into the large language model for disease condition analysis to train and update the model, so that the extraction and analysis ability of the large language model for disease condition analysis becomes better and better.

[0064] In this step, voice interaction can be carried out between the in-hospital trauma emergency center, the operating room center, and the anesthesiology department center. The in-hospital trauma emergency center allows in-hospital medical staff to notify the operating room center and the anesthesiology department center by voice to open a green channel for the patient and make preparations in advance.

[0065] Based on the patient's condition and combined with imaging examination results, etc., the injured part and the severity are clarified. If a trauma patient has an emergency surgical indication, the operating room and the anesthesiology department can be notified in advance by voice to make corresponding surgical preparations. By inputting relevant data on severe trauma and through intelligent analysis, the disease condition prediction and decision-making for severely injured patients are completed, providing clinical reference and review.

[0066] This embodiment also provides a pre-hospital and in-hospital emergency dispatch system for severe trauma, which includes a pre-hospital connection center, a pre-hospital ambulance dispatch center, an emergency vehicle terminal on the ambulance, an in-hospital trauma emergency center, an examination and testing center, an operating room center, an anesthesiology department center, and a general control center.

[0067] The pre-hospital connection center is used to receive accident description information, analyze the accident description information using a large language model for accident trauma analysis to obtain the accident location and the number of people with severe trauma. The pre-hospital connection center is used to upload the connection time, accident description information, accident location, and the number of people with severe trauma to the general control center for storage.

[0068] The pre-hospital ambulance dispatch center is used to dispatch the number of ambulances and the number of pre-hospital medical staff per vehicle that match the number of people with severe trauma and notify the in-hospital trauma emergency center. The pre-hospital ambulance dispatch center is used to upload the dispatch time, the number of ambulances dispatched, and the number of pre-hospital medical staff per vehicle to the general control center for storage.

[0069] The emergency vehicle terminal on each ambulance is used to obtain the departure time, the time of arrival at the accident scene, and a video record of the patients at the accident scene and transmit them to the in-hospital trauma emergency center for in-hospital medical staff to provide on-site first aid guidance for the patients. It also collects the basic information, vital signs, and injury information of the patients and provides them for pre-hospital medical staff to revise and improve. Using a large language model for trauma information analysis to analyze the revised and improved information to obtain the severe trauma information of the patients, and the severe trauma information includes the severe trauma site, its type, and severity. Each emergency vehicle terminal is used to upload its departure time, the time of arrival at the accident scene, the video record of the patients at the accident scene, the basic information, vital signs, and injury information of the patients before and after revision, the severe trauma information, the time of arrival at the in-hospital emergency department, and the information notifying the in-hospital trauma emergency center to the general control center for storage.

[0070] The in-hospital trauma emergency center is used to automatically register the patients using their basic information.

[0071] The emergency vehicle terminal on each ambulance is used to obtain the time of arrival at the in-hospital emergency department and notify the in-hospital trauma emergency center to enable in-hospital medical staff to prepare for first aid.

[0072] The in-hospital trauma emergency center is used to provide in-hospital medical staff with the opportunity to revise and improve the severe trauma information of the patients, input the pending examination and testing items and the estimated arrival time of the patients, and separately notify the corresponding examination and testing centers to open a green channel for the patients.

[0073] The in-hospital trauma emergency center is used to input the revised and improved severe trauma information and examination and test results of the patient into the large language model for disease condition prediction and decision-making, decide on the surgical items to be performed, and after being revised and improved by the in-hospital medical staff, determine the final surgical items to be performed and the estimated arrival time, and separately notify the operating room center and the anesthesiology center to open a green channel for the patient. The in-hospital trauma emergency center is used to upload the registration information of each patient, the examination and test items to be performed and their estimated arrival time, the revised and improved severe trauma information, the examination and test results, the disease condition prediction and decision-making information, the surgical items to be performed, and the information notifying the operating room center and the anesthesiology center to the general control center for storage.

[0074] Although the specific implementation manners of the present invention have been described above, those skilled in the art should understand that these are only examples, and the protection scope of the present invention is defined by the appended claims. Without departing from the principle and essence of the present invention, those skilled in the art can make various changes or modifications to these implementation manners, but these changes and modifications all fall within the protection scope of the present invention.

Claims

1. A pre-hospital and in-hospital emergency dispatch method for severe trauma, characterized in that, Including: S1. The pre-hospital connection center receives the accident description information, and uses the large language model for accident trauma analysis to analyze the accident description information to obtain the accident location and the number of severely injured people. S2. The pre-hospital dispatch center dispatches the number of ambulances and the number of pre-hospital medical staff per vehicle that match the number of severely injured people, and notifies the in-hospital trauma emergency center. S3. The emergency vehicle terminal of each ambulance obtains the departure time, the arrival time at the accident scene, and the video record of the patients at the accident scene, and transmits them to the in-hospital trauma emergency center for in-hospital medical staff to give on-site first aid guidance for the patient. It also collects the basic information, vital signs, and injury information of the patient for pre-hospital medical staff to revise and improve. The large language model for trauma information analysis is used to analyze the revised and improved information to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type, and the severity. S4. The in-hospital trauma emergency center automatically registers the patient using the patient's basic information. S5. The emergency vehicle terminal of each ambulance obtains the arrival time at the in-hospital emergency department and notifies the in-hospital trauma emergency center, so that the in-hospital medical staff can prepare for first aid. S6. The in-hospital trauma emergency center provides the in-hospital medical staff to revise and improve the severe trauma information of the patient, input the pending examination and test items and the estimated arrival time of the patient, and respectively notify the corresponding examination and test centers to open a green channel for the patient. S7. The in-hospital trauma emergency center inputs the revised and improved severe trauma information and examination and test results of the patient into the large language model for condition prediction and decision-making, decides the pending surgical items, and after being revised and improved by the in-hospital medical staff, determines the final pending surgical items and the estimated arrival time, and respectively notifies the operating room center and the anesthesiology department center to open a green channel for the patient.

2. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 1, wherein In S1, the pre-hospital connection center uses the large language model for accident trauma analysis to analyze the accident description information to obtain the accident location, the number of injured people, and the number of severely injured people. Between S1 and S2, it includes: judging whether the number of severely injured people is not zero. If it is yes, enter S2; if it is no, enter S2'. S2. The pre-hospital dispatch center dispatches the number of ambulances and the number of pre-hospital medical staff per vehicle that are consistent with the number of severely injured people for severe trauma, and dispatches n ambulances and the number of pre-hospital medical staff per vehicle for non-severe trauma, and notifies the in-hospital trauma emergency center, where n = the number of non-severely injured people at the accident scene / the preset number of non-severely injured patients that can be accommodated per vehicle, the number of non-severely injured people at the accident scene = the number of injured people at the accident scene - the number of severely injured people. When n is a non-positive integer, n = the integer part of n plus 1. S2'. The pre-hospital dispatch center dispatches n ambulances and the number of pre-hospital medical staff per vehicle for non-severe trauma, and notifies the in-hospital trauma emergency center.

3. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 2, wherein, In S3, for severe trauma, collect the basic information, vital signs, and injury information of the patient for pre-hospital medical staff to revise and improve. Use the large language model for trauma information analysis to analyze the revised and improved information to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type, and the severity. For non-severe trauma, collect the basic information of the patient. S3’. For each emergency vehicle terminal corresponding to non-severe trauma, it obtains the departure time, the arrival time at the accident scene, and the video recording of the patient at the accident scene and transmits them to the in-hospital trauma emergency center for in-hospital medical staff to provide on-site first aid guidance for the patient. The emergency vehicle terminal collects the basic information of the patient. S4’. The in-hospital trauma emergency center automatically registers the patient using the patient's basic information. S5’. For each emergency vehicle terminal corresponding to non-severe trauma, it obtains the arrival time at the in-hospital emergency department and notifies the in-hospital trauma emergency center, enabling the in-hospital medical staff to prepare to receive the emergency treatment. End.

4. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 2, wherein, In S1, the pre-hospital connection center obtains the number of trauma patients and the number of severe trauma patients. When the number of severe trauma patients ≥ the first set number or the number of trauma patients ≥ the second set number, it reports the accident information to the relevant responsible person or relevant department, where the second set number > the first set number.

5. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 1, characterized in that, In S1, the pre-hospital connection center receives the accident description information in voice form, uses speech recognition technology to generate the accident description information in text form, corrects the accident description information in text form to generate the standard text form of the accident description information, analyzes the standard text form of the accident description information using the large language model for accident trauma analysis, obtains the accident location and the number of severe trauma patients, and transmits them to the pre-hospital dispatch center. In S3, the emergency vehicle terminal collects the injury information of the patient by voice for pre-hospital medical staff to revise and improve.

6. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 1, wherein, In S3, the emergency vehicle terminal directly inputs or scans the ID card information or medical insurance card information of the patient to obtain the patient's identity information. Or the emergency vehicle terminal uses face recognition technology to identify the face information of the patient and uploads it to the central control center. The central control center calls the face database to match the face information of the patient to obtain the patient's identity information. Or the emergency vehicle terminal uses fingerprint recognition technology to identify the fingerprint information of the patient and uploads it to the central control center. The central control center calls the fingerprint database to match the fingerprint information of the patient to obtain the patient's identity information. In S4, the in-hospital trauma emergency center automatically registers the patient using the patient's identity information.

7. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 1, characterized in that, The pre-hospital connection center uploads the connection time, accident description information, accident location, and the number of severe trauma patients to the central control center for storage. The pre-hospital dispatch center uploads the dispatch time, the number of dispatched vehicles, and the number of pre-hospital medical staff in each vehicle to the central control center for storage. Each emergency vehicle terminal uploads its departure time, arrival time at the accident scene, video recording of the patient at the accident scene, the basic information of the patient before and after revision and improvement, vital signs and injury information, severe trauma information, arrival time at the in-hospital emergency department, and the information notifying the in-hospital trauma emergency center to the central control center for storage. The in-hospital trauma emergency center uploads the registration information of each patient, the items to be examined and tested and their estimated arrival times, the revised and improved severe trauma information, examination and test results, condition prediction and decision-making information, items to be operated on, and the information notifying the operating room center and the anesthesiology center to the central control center for storage.

8. The pre-hospital and in-hospital emergency dispatch method for severe trauma according to claim 1, wherein The large language model for accident trauma analysis is trained using historical accident description information and corresponding historical accident trauma extraction information; regularly input the accident description information in S1, the corresponding accident location, and the number of severe traumas into the large language model for accident trauma analysis to train and update the model; The large language model for trauma information analysis is trained using historical patient basic information, vital signs, injury information, and corresponding historical trauma information; regularly input the corrected and improved basic information, vital signs, injury information, and corresponding severe trauma information in S3 into the large language model for trauma information analysis to train and update the model; The large language model for disease analysis is trained using historical severe trauma information, examination and test results, and corresponding historical disease analysis results; regularly input the corrected and improved severe trauma information and examination and test results in S7, and the corresponding corrected and improved disease prediction and decision-making information into the large language model for disease analysis to train and update the model.

9. A pre-hospital and in-hospital emergency dispatch system for severe trauma, characterized in that, It includes a pre-hospital call center, a pre-hospital dispatch center for ambulance trips, an emergency vehicle terminal on the ambulance, an in-hospital trauma emergency center, an examination and test center, an operating room center, and an anesthesiology center; The pre-hospital call center is used to receive accident description information and analyze the accident description information using the large language model for accident trauma analysis to obtain the accident location and the number of severe traumas; The pre-hospital dispatch center for ambulance trips is used to dispatch the number of ambulances and the number of pre-hospital medical staff per vehicle that match the number of severe traumas and notify the in-hospital trauma emergency center; The emergency vehicle terminal on each ambulance is used to obtain the departure time, the time of arrival at the accident scene, and the video record of the patient at the accident scene and transmit it to the in-hospital trauma emergency center for in-hospital medical staff to provide on-site first aid guidance for the patient. It also collects the basic information, vital signs, and injury information of the patient for pre-hospital medical staff to correct and improve, and analyzes the corrected and improved information using the large language model for trauma information analysis to obtain the severe trauma information of the patient. The severe trauma information includes the severe trauma site, its type, and severity; The in-hospital trauma emergency center is used to automatically register the patient using the patient's basic information; The emergency vehicle terminal on each ambulance is used to obtain the time of arrival at the in-hospital emergency department and notify the in-hospital trauma emergency center to enable in-hospital medical staff to prepare for first aid; The in-hospital trauma emergency center is used for in-hospital medical staff to correct and improve the severe trauma information of the patient, input the items to be examined and tested for the patient and the estimated arrival time, and respectively notify the corresponding examination and test center to open a green channel for the patient; The in-hospital trauma emergency center is used to input the corrected and improved severe trauma information and examination and test results of the patient into the large language model for disease analysis for disease prediction and decision-making, decide on the items to be operated on, and after correction and improvement by in-hospital medical staff, determine the final items to be operated on and the estimated arrival time, and respectively notify the operating room center and the anesthesiology center to open a green channel for the patient.

10. The pre-hospital and in-hospital emergency dispatch system for severe trauma according to claim 9, characterized in that, The system also includes a general control center; The pre-hospital call center is used to upload the call time, accident description information, accident location, and the number of severe traumas to the general control center for storage; The pre-hospital dispatch center is used to upload the dispatch time, the number of ambulances dispatched, and the number of pre-hospital medical staff in each ambulance to the general control center for storage; Each emergency vehicle on-board terminal is used to upload its departure time, arrival time at the accident scene, video records of patients at the accident scene, basic information, vital signs, injury information, severe trauma information of patients before and after correction and improvement, arrival time at the in-hospital emergency department, and information on notifying the in-hospital trauma emergency center to the general control center for storage; The in-hospital trauma emergency center is used to upload the registration information of each patient, items to be examined and tested and their estimated arrival times, severe trauma information after correction and improvement, examination and test results, disease prognosis and decision-making information, items to be operated on, and information on notifying the operating room center and the anesthesiology center to the general control center for storage.

Images