Emergency treatment and pre-hospital emergency treatment information real-time sharing platform

Abstract

The invention relates to the technical field of medical treatment, and discloses an emergency treatment and pre-hospital emergency treatment information real-time sharing platform, which comprises an ambulance station management module for recording and updating the ambulance state of each ambulance station in real time, recording the historical execution task information of each ambulance station, and predicting the number of calls possibly received by each ambulance station in a future period of time; the pre-hospital first-aid module is used for acquiring basic information, position information and current situation description of a patient through an alarm person; the in-hospital emergency treatment module is used for managing medical resource information of hospitals, historical medical record information of patients and position information of the hospitals; the central scheduling module is used for judging the disease level of the patient, setting a rescue time range, distributing a target hospital according to the disease level of the patient, the position information and the medical resource distribution condition, and screening and scheduling the most suitable ambulance to execute a task according to matching factors; the problem that in the prior art, due to the empty car phenomenon, large pre-hospital first-aid resource waste is caused is solved.

Description

Technical Field

[0001] The present invention relates to the field of medical technology, and particularly to a real-time information sharing platform for emergency and pre-hospital first aid. Background Art

[0002] In the modern medical first aid system, ambulances, as an important link connecting ambulance stations, hospitals, and dispatch centers, play a crucial role. Traditional emergency response dispatch systems mainly rely on steps such as telephone acceptance, manual dispatch, and vehicle tracking. When receiving an emergency call for help, the operator at the dispatch center needs to answer the call within 1 minute and initially understand the situation of the call for help. If there is an available ambulance in the nearby area, the dispatcher needs to immediately send the vehicle and ensure that the vehicle departs within 1 minute. If there is no vehicle in the nearby area, the dispatcher needs to quickly allocate a vehicle from the adjacent area and explain the situation to the caller. This process requires the dispatcher to have the ability to quickly judge and make decisions to ensure the effective utilization of first aid resources.

[0003] In pre-hospital first aid, the empty vehicle phenomenon refers to the situation where the ambulance returns empty after arriving at the scene to execute the rescue instruction without encountering the rescue object. There are various reasons for this situation, including but not limited to:

[0004] Patients go to the hospital by themselves: Some patients or their families choose to go to the hospital by themselves for various reasons (such as too long waiting time, remission of the condition, etc.) after calling an ambulance, resulting in the ambulance running empty. False reporting or misreporting: Some non-emergency or prank calls may cause the ambulance to be wrongly dispatched to a location without actual rescue needs. Patients refuse to accept services: Some patients or their families refuse to accept services due to economic reasons or other considerations after the ambulance arrives, resulting in the ambulance running empty. Inaccurate information: Due to inaccurate information obtained by the dispatch center, such as wrong address, incorrect judgment of the condition, etc., it may also cause the ambulance to run empty.

[0005] The empty return of ambulances not only causes great economic losses but also wastes pre-hospital first aid resources. As a scarce resource, ambulances cannot provide services to other patients in need of first aid during the empty running process. This not only wastes valuable first aid resources but also reduces the overall rescue efficiency. In an emergency, the timely arrival of an ambulance can often save the life of a patient. However, the empty vehicle phenomenon may cause the ambulance to fail to reach the scene where first aid is truly needed in time, thus delaying the best rescue opportunity. The empty running of an ambulance means an increase in fuel consumption and vehicle wear, but no corresponding income is generated. For first aid institutions, this is a significant economic burden and is not conducive to the development of the first aid industry. Summary of the Invention

[0006] The present invention aims to provide a real-time information sharing platform for emergency and pre-hospital first aid to solve the problem of large waste of pre-hospital first aid resources caused by the empty vehicle phenomenon in the prior art.

[0007] To achieve the above object, the present invention adopts the following technical solutions: An emergency and pre-hospital first aid information real-time sharing platform, comprising:

[0008] An ambulance station management module, including an ambulance status management unit, a historical task recording unit, and a call prediction unit. The ambulance status management unit is used to record and update the status of ambulances at each ambulance station in real time, including the idle status and the task status, and dynamically adjust based on the task execution situation. The historical task recording unit is used to record the historical task execution information of each ambulance station and predict the time required for the ambulance to execute the current task and return to the station. The call prediction unit is used to build a call prediction model to predict the number of calls that each ambulance station may receive in a future period of time.

[0009] A pre-hospital first aid module, including a patient information collection unit, which is used to obtain the basic information, location information, and current situation description of the patient through the alarm caller.

[0010] An in-hospital emergency module, including a medical resource management unit, a patient medical record management unit, and a hospital location information unit. The medical resource management unit is used to manage the medical resource information of each hospital. The patient medical record management unit is used to store and manage the historical medical record information of the patient. The hospital location information unit is used to provide the location information of each hospital and traffic condition monitoring data.

[0011] A central dispatching module, including a patient condition level judgment unit, a destination hospital allocation unit, and an ambulance dispatching unit. The patient condition level judgment unit is used to judge the patient condition level and set a rescue time range. The destination hospital allocation unit is used to allocate a destination hospital according to the patient condition level, location information, and medical resource distribution. The ambulance dispatching unit is used to screen and dispatch the most suitable ambulance to execute the task according to matching factors, and the matching factors include: the urgency of the patient and the acceptable waiting time, as well as the current location, task status, and return path of the ambulance.

[0012] The principle and advantages of this solution are: Through a highly integrated and intelligent information system, seamless connection and information sharing among ambulance stations, pre-hospital first aid, in-hospital emergency, and the dispatching center are realized. Ambulance station management module: Real-time track the status of ambulances, use historical task data to predict future needs, and thus plan vehicle resources in advance. Pre-hospital first aid module: Quickly collect patient information and provide accurate basis for dispatching. In-hospital emergency module: Integrate medical resource information, optimize patient allocation, and ensure treatment efficiency. Central dispatching module: Comprehensively evaluate the patient condition, location, resources, and vehicle status to achieve precise dispatching.

[0013] By predicting the real-time updated ambulance status and historical mission data, the platform can allocate ambulance resources more effectively. In particular, when an ambulance completes its first mission, the system can immediately evaluate its location, status, and return route, automatically match and assign possible second missions, greatly reducing the situation of returning empty. The platform not only considers the urgency of patients and rescue time but also comprehensively considers the cost-effectiveness of ambulances, such as driving distance, fuel consumption, maintenance costs, etc., to ensure that each dispatch can maximize the utilization efficiency of ambulances, undertake more call missions, and at the same time control operating costs.

[0014] By integrating hospital resource information and patient medical records, the platform can intelligently allocate patients to the most suitable hospitals, taking into account both the balanced utilization of medical resources and the improvement of the success rate of treatment. Through precise dispatching and efficient utilization of ambulance resources, the present invention significantly reduces resource waste caused by empty running, misassignment, etc., ensuring that every first-aid resource can play its role when it is most needed.

[0015] Preferably, as an improvement, the ambulance status management unit includes:

[0016] When the ambulance is waiting to receive a mission, it is marked as the idle state, including the ambulance queuing in the ambulance station waiting to receive a new mission, and the ambulance failing to send the patient to the hospital during the first mission and waiting to return to the ambulance station.

[0017] After the ambulance receives a mission, its status changes to the mission state. It is not until the ambulance executes the mission, effectively sends the patient to the hospital, and returns to the ambulance station to replenish consumables that its status changes back to the idle state.

[0018] When the ambulance is still on its second mission and has not yet sent the patient to the hospital, the ambulance must return to the ambulance station to replenish consumables and remains in the mission state during the return journey.

[0019] The beneficial effect of this improvement is that by subdividing the status of the ambulance into the idle state (including waiting in the station and on the way back when the first mission is not completed), the mission state (executing the mission until effectively sending the patient to the hospital and returning to the station), and a special mission state where the ambulance is on a mission but has not yet sent the patient and still needs to return to replenish consumables, the system can more precisely grasp the real-time dynamics and availability of each ambulance. This refined status management enables the dispatching center to consider more factors when allocating missions, such as the specific location of the ambulance, remaining fuel, consumable stock, etc., thus making more scientific and reasonable dispatching decisions, reducing empty running and waiting time, and improving the response speed and efficiency of first-aid services.

[0020] The improved status management ensures that the ambulance can return to the station in time to replenish necessary consumables such as medical supplies and fuel after completing a mission, so as to get ready for the next mission. By requiring ambulances that have not sent patients to the hospital during the second mission to return to the ambulance station to replenish consumables, the system avoids mission interruptions or delays caused by insufficient resources, ensuring the continuity and stability of the emergency service. At the same time, this also promotes the effective utilization of ambulances, reducing resource waste and inefficiency caused by resource shortages.

[0021] Preferably, as an improvement, the call prediction unit includes:

[0022] Record the number of currently idle ambulances in a certain ambulance station as N; use historical data and real-time road condition information to predict the time T1 required for the ambulances in the mission state at this ambulance station to complete the mission and the time T2 required to return to the original ambulance station from the destination hospital; based on historical mission information, use statistical methods to predict the possible call data M received within the future time period of T1 + T2; combine the number N of currently idle vehicles in the ambulance station, as well as the deployable capabilities of other ambulance stations and the support capabilities in case of emergencies, and comprehensively evaluate whether the currently idle ambulances in the ambulance station meet the requirements.

[0023] The beneficial effect of this improvement is that by comprehensively considering the number N of currently idle ambulances, the execution and return times T1 and T2 of ambulances in the mission state, and the possible call data M received within the future time period, the call prediction unit can more accurately predict the call demands of each ambulance station within a certain period of time in the future. This enables the dispatching center to plan resources in advance, reasonably arrange the dispatching and task allocation of ambulances, effectively reduce the phenomenon of empty running, and avoid the situation where the calls near the location of the original ambulance station cannot be supported due to the ambulance performing a second call mission during the return journey, ensuring rapid response during peak hours or emergencies and meeting the first-aid needs of patients.

[0024] Preferably, as an improvement, the matching factors are set according to the screening levels, and the screening levels include:

[0025] The first level, the urgency of the patient: When receiving multiple call missions, classify according to the urgency of the patient's condition to determine the rescue time range for each patient, and determine the call missions that meet the rescue time range based on the distance between the ambulance and the patient; and give priority to taking on patients with a higher level of urgency.

[0026] The second level, set the patient distance level, where the patient distance level is to classify the distance between the patient and the ambulance. The higher the patient distance level, the closer the patient is to the ambulance, and give priority to assigning call missions with a higher patient distance level to the ambulance.

[0027] The third level, based on the second level, sets the hospital distance level. The hospital distance level is to classify the distance between the destination hospital of each call task and the ambulance station of the ambulance. The higher the hospital distance level, the closer the destination hospital of the call task is to the original ambulance station of the ambulance. Priority is given to allocating call tasks with a higher hospital distance level to the ambulance.

[0028] The fourth level, when the first task of the current ambulance has not been sent to the hospital and the ambulance is currently idle outside the ambulance station, evaluate the impact of the ambulance's response ability to call tasks at the ambulance station after completing the second task according to the number N of idle vehicles in the ambulance station of the ambulance and the predicted call data volume M of the ambulance station; select call tasks where N is greater than or equal to M.

[0029] The fifth level, based on the first three levels, if there are multiple ambulances meeting the conditions, priority is given to considering ambulances whose first task has not been sent to the hospital to undertake call tasks.

[0030] The beneficial effects of this improvement are as follows: By setting the patient's emergency level as the screening factor at the first level, the system can quickly identify and prioritize the treatment of patients with a higher emergency level, ensuring that they can receive treatment in the shortest possible time. The subsequent settings of the patient distance level and hospital distance level further refine the basis for dispatching decisions, enabling the system to more accurately evaluate the response ability of ambulances and the rationality of task allocation, thereby improving the dispatching efficiency and accuracy. The setting of the screening levels enables the system to comprehensively consider multiple factors, including the patient's emergency level, distance, the current status and task situation of the ambulance, so as to make more scientific and reasonable dispatching decisions. This helps to reduce the empty running and waiting time of ambulances, improve the utilization efficiency of resources, ensure that each ambulance can play its role when it is most needed, and ensure that patients can receive treatment in the shortest possible time.

[0031] Preferably, as an improvement, the medical resource management unit monitors the operating status of medical devices in real time through Internet of Things technology; the patient medical record management unit establishes a cross-hospital and cross-department medical record information sharing mechanism.

[0032] The beneficial effects of this improvement are as follows: Monitoring the operating status of medical devices in real time can promptly detect and handle equipment failures and anomalies, ensuring that the equipment is always in good working condition, thereby improving the utilization efficiency of medical devices. Through Internet of Things technology, the usage and distribution of medical devices can be grasped in real time, providing decision-making support for hospital management, optimizing the allocation of medical resources, and avoiding resource waste.

[0033] Preferably, as an improvement, the hospital location information unit accurately marks the locations of each hospital through geographic information system technology and monitors the traffic conditions around each hospital in real time.

[0034] The beneficial effects of this improvement are as follows: The sharing of medical record information across hospitals and departments helps dispatchers and doctors comprehensively understand the patient's condition and treatment history, thereby formulating more scientific and reasonable diagnosis and treatment plans and classifying the emergency level of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic structural diagram of an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The following is a further detailed description through specific embodiments:

[0037] Embodiment

[0038] Basically as shown in the Figure 1 drawings, a real-time sharing platform for emergency and pre-hospital emergency information includes: an ambulance station management module, a pre-hospital emergency module, an in-hospital emergency module, and a central dispatching module.

[0039] The ambulance station management module includes an ambulance status management unit, a historical task recording unit, and a call prediction unit.

[0040] The ambulance status management unit is used to record and update the status of ambulances at each ambulance station in real time. The ambulance status includes an idle status and a task status. When an ambulance is waiting to receive a task, it is marked as the idle status. The idle status includes that the ambulance is queuing in the ambulance station waiting to receive a new task, and the ambulance is waiting to return to the ambulance station after failing to send a patient to the hospital during the first task. After receiving a task, the ambulance status changes from the idle status to the task status; when the ambulance executes a task and effectively sends a patient to the hospital, the ambulance is still in the task status. After the ambulance returns to the ambulance station and replenishes consumables, it changes from the task status to the idle status again. Dynamically adjust the ambulance status according to the task execution situation (such as whether the patient needs to be sent to the hospital).

[0041] When the ambulance still fails to send a patient during the second task, the ambulance must return to the ambulance station to replenish consumables. During the return journey of the ambulance from the destination of the second task patient to the ambulance station, the ambulance remains in the task status.

[0042] The historical task recording unit records the historical task execution information of each ambulance station, including the current number of idle vehicles, task execution time, task return time, etc. Real-time statistics and display the current number of idle ambulances at each ambulance station. Based on historical data and real-time road condition information, predict the time required for the ambulance to execute the current task and return to the station.

[0043] The call prediction unit constructs a call prediction model to predict the number of calls and the emergency level that each ambulance station may receive in the future period of time, and evaluate the ambulance resource requirements in the areas of each ambulance station according to the prediction results.

[0044] Specifically, record the current number of idle ambulances at a certain ambulance station as N; and use historical data and real-time traffic information to predict the time required for ambulances in the task state at this ambulance station to perform tasks in sequence. The predicted time includes: the time T1 required for the ambulance to perform the current task and the time T2 required for the ambulance to return from the destination hospital to the original ambulance station. Based on historical task information, use statistical methods, such as time series analysis, machine learning models and other models, to predict the call data M that may be received within the future time period of T1 + T2.

[0045] Based on the predicted data M, consider the number of idle vehicles N in the current ambulance station, as well as the deployable capabilities of other ambulance stations and the support capabilities in emergency situations, and comprehensively evaluate whether the ambulance resources meet the requirements.

[0046] The pre-hospital emergency module includes a patient information collection unit, which obtains the patient's basic information, location information and current situation description through the alarm caller, providing data support for subsequent dispatching and treatment.

[0047] The patient's basic information includes the patient's name, age, gender, contact information, past medical history, etc.; so that the dispatcher can quickly judge the critical condition of the patient and the required medical resources. Through modern communication technologies, such as mobile phone positioning, GPS, etc., quickly and accurately obtain the patient's location information, providing convenience for the dispatching and navigation of emergency vehicles. The alarm caller will provide the current condition of the patient, such as whether the patient is conscious, whether there are symptoms such as bleeding or difficulty breathing. These information help the dispatcher initially judge the critical condition of the patient's condition.

[0048] The in-hospital emergency module includes a medical resource management unit, a patient medical record management unit and a hospital location information unit.

[0049] The medical resource management unit manages the medical resource information of each hospital, including the number of beds, medical equipment, medical staff, etc., providing basic data for dispatching decisions. Based on the real-time information of resources such as the number of beds, medical equipment and medical staff, combined with the urgency of the patient's condition, it provides intelligent support for dispatching decisions.

[0050] Update and display the bed numbers and their usage status in each department in real time, including the status of empty beds, occupied beds, reserved beds, etc. Through data analysis, predict the bed demand in the future for a period of time to provide data support for scheduling decisions. Establish a detailed medical equipment list, including the name, model, quantity, location, usage status (such as available, under repair, scrapped, etc.) of the equipment, as well as the maintenance records. Through Internet of Things technology, monitor the running status of the equipment in real time to ensure that the required equipment can be quickly found and called in case of emergency. Record and manage the personal information, professional skills, work schedules, contact information, etc. of medical staff. Through an intelligent scheduling system, reasonably arrange emergency duty personnel according to the work experience and skill levels of medical staff to ensure that a professional first aid team can be quickly assembled in case of emergency.

[0051] Patient medical record management unit, store and manage the historical medical record information of patients for the reference of the central scheduling module when judging the patient's condition level. Establish a cross-hospital and cross-department medical record information sharing mechanism to ensure that the complete medical record information of patients can be quickly obtained in case of emergency, providing a reference for medical resource allocation.

[0052] Provide a convenient medical record information input interface, supporting multiple methods such as manual input, scanning and uploading, and docking with the electronic medical record system. Ensure the integrity, accuracy, and timeliness of medical record information. Quickly query the historical medical record information of patients through key information such as patient name, ID number, and medical record number. Support fuzzy query and advanced query functions to meet the query needs in different scenarios. Integrate and analyze the historical medical record information of patients to form a complete medical record file. Through data mining and machine learning technologies, discover potential disease risks and treatment rules to provide data basis for emergency treatment and resource scheduling and allocation.

[0053] Hospital location information unit, provide the location information of each hospital, including longitude, latitude, traffic conditions, etc., providing a basis for ambulance route planning. Share the hospital location information and traffic condition monitoring data with relevant departments and institutions, such as the emergency center, traffic management department, etc. Realize cross-departmental information sharing and collaborative work to improve the emergency treatment efficiency and service quality.

[0054] Through Geographic Information System (GIS) technology, accurately mark the locations of each hospital. Include basic information such as the name, address, longitude, and latitude of the hospital. Real-time monitor the traffic conditions around each hospital, including road congestion, traffic control information, construction sections, etc. Through data analysis, predict the traffic change trend in the future for a period of time to provide a reference for ambulance route planning. Based on the hospital location information and traffic condition monitoring data, provide the optimal route planning scheme for ambulances. Consider factors such as road congestion, traffic control, and distance to ensure that ambulances can quickly and accurately reach the target hospital.

[0055] The central dispatching module includes a patient condition level judgment unit, a destination hospital allocation unit, and an ambulance dispatching unit.

[0056] The patient condition level judgment unit judges the patient's condition level according to the current situation description and historical medical records of the patient, and sets the corresponding rescue time range. Formulate a patient condition level standard (such as mild, moderate, severe, critical, etc.), and set a reasonable rescue time range for each level.

[0057] Receive the current situation description of the patient from the alarm caller or the first aid scene, including symptoms, signs, consciousness status, etc. Access the patient medical record management unit to obtain the patient's historical medical record information, including past medical history, allergy history, surgical history, etc. Integrate the current condition and historical medical records to form a comprehensive patient condition assessment report.

[0058] Formulate a clear patient condition level standard, such as mild, moderate, severe, critical, etc. Each level should correspond to different condition characteristics and possible treatment needs. Mild level: The symptoms are relatively light, the patient's vital signs are stable, and no emergency treatment is required. Moderate level: The symptoms are obvious, but the vital signs are still stable, and certain medical interventions are needed. Severe level: The symptoms are severe, the vital signs are unstable, and immediate treatment is required. Critical level: The condition is extremely serious and life-threatening, and immediate advanced life support is required. According to the patient condition level, set a reasonable rescue time range. For example, patients at the critical level need immediate treatment, and the rescue time should be shortened as much as possible; while patients at the mild level can have the rescue time appropriately extended. Apply an algorithm or an expert system to judge the patient's condition level. Output the patient condition level judgment result, including the condition level and the rescue time range.

[0059] The destination hospital allocation unit allocates the destination hospital to which the patient should be sent according to the patient's location, condition level, and medical resource distribution, and synchronizes the patient information to the hospital so that the hospital can prepare first aid measures in advance.

[0060] Receive the patient condition level, rescue time range, and location information of the patient from the patient condition level judgment unit. Access the medical resource management unit to obtain the medical resource distribution of each hospital, including the number of beds, medical equipment, medical staff, etc. Integrate the patient condition, location information, and medical resource distribution to form a comprehensive hospital allocation assessment report. Apply an algorithm or an intelligent system to comprehensively consider factors such as the patient condition level, rescue time range, hospital medical resource distribution, and traffic conditions to allocate the best destination hospital for the patient. Give priority to hospitals with sufficient medical resources, strong treatment capabilities, and relatively close distances to the patient. Synchronize the patient information, condition level, rescue time range, and allocation result to the destination hospital. Notify the hospital to prepare first aid measures in advance, including arranging medical staff, preparing medical equipment, and reserving beds.

[0061] The ambulance dispatching unit screens and dispatches the most suitable ambulance to perform tasks based on factors such as the urgency of the patient, the acceptable waiting time, the current location of the ambulance, its task status, and the return path.

[0062] The matching factors between the ambulance and the call task include: the urgency of the patient, the distance between the ambulance and the patient, the distance for the ambulance to return from the destination hospital to the original ambulance station, the current call response ability of the ambulance station, and whether the ambulance is on its second task.

[0063] Set the matching factors according to the screening levels, and screen multiple ambulances and multiple call tasks step by step according to the matching factors to assign corresponding ambulance responses to the call tasks.

[0064] The specific screening levels of the matching factors include:

[0065] The first level, the urgency of the patient: When multiple call tasks are received, first divide according to the urgency of the patient's condition, and according to the rescue time range of each patient, determine the call tasks that meet the rescue time range based on the distance between the ambulance and the patient; and give priority to taking on patients with a higher level of urgency.

[0066] The second level, the ambulance-patient distance: Set the patient distance level, that is, classify the distance between the patient and the ambulance. Different patient distances correspond to different levels. Give priority to assigning call tasks with a higher distance level between the ambulance and the patient to the ambulance. The higher the patient distance level, the closer the patient is to the ambulance.

[0067] The third level, the ambulance return distance: On the basis of the second level, set the hospital distance level, that is, classify the distance between the destination hospital of each call task and the ambulance station of the ambulance. Different hospital distances correspond to different levels. Give priority to assigning call tasks with a higher hospital distance level to the ambulance. The higher the hospital distance level, the closer the destination hospital of the call task is to the original ambulance station of the ambulance, so as to reduce the return time and improve the subsequent response efficiency.

[0068] The fourth level, the response ability of the ambulance station: When the current ambulance is on its first trip and has not sent the patient to the hospital and is idle outside the original ambulance station, evaluate the impact of the ambulance's ability to respond to call tasks at the original station after completing the second task based on the number N of idle vehicles in the original station and the predicted call data volume M. Select call tasks where the number N of idle vehicles in the original station is greater than or equal to the predicted call data volume M to ensure the continuous response ability of the ambulance station.

[0069] The fifth level, the task status of the ambulance: On the basis of the first three levels, if there are multiple ambulances that meet the conditions, give priority to considering those vehicles that have not sent the patient to the hospital on the first task to improve the overall rescue efficiency and resource utilization rate.

[0070] The patient information collection unit of the pre-hospital first aid module transmits information to the disease severity judgment unit of the central dispatching module. After the disease severity judgment unit makes a judgment, it transmits the information to the destination hospital allocation unit. The destination hospital allocation unit allocates the destination hospital according to the data of the hospital location information unit and transmits the information to the ambulance dispatching unit. The ambulance dispatching unit dispatches a suitable ambulance to the patient's location according to the data of the ambulance station management module. During the execution of the task, the status of the ambulance is monitored in real time by the ambulance status management unit and updated to the system. After the patient arrives at the hospital, the medical resource management unit and the patient medical record management unit provide necessary support and information to ensure that the patient receives timely and effective treatment.

[0071] The above are only embodiments of the present invention. Specific technical solutions and / or common knowledge such as characteristics well known in the art are not described in detail herein. It should be noted that for those skilled in the art, without departing from the technical solution of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be subject to the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. Real-time sharing platform for emergency and pre-hospital emergency information, characterized by: include: The ambulance station management module includes an ambulance status management unit, a historical task recording unit and a call prediction unit. The ambulance status management unit is used to record and update the ambulance status of each ambulance station in real time, including the idle status and the task status, and dynamically adjust based on the task execution status; the historical task recording unit is used to record the historical execution task information of each ambulance station and predict the time required for the ambulance to execute the current task and return to the station; the call prediction unit is used to build a call prediction model to predict the number of calls that each ambulance station may receive in the future period of time; The pre-hospital emergency module includes a patient information collection unit, which is used to obtain the patient's basic information, location information and current status description through the caller; The in-hospital emergency module includes a medical resource management unit, a patient medical record management unit and a hospital location information unit. The medical resource management unit is used to manage the medical resource information of each hospital, the patient medical record management unit is used to store and manage the patient's historical medical record information, and the hospital location information unit is used to provide the location information of each hospital and traffic condition monitoring data; The central dispatch module includes a condition level judgment unit, a destination hospital allocation unit and an ambulance dispatch unit. The condition level judgment unit is used to judge the patient's condition level and set the rescue time range. The destination hospital allocation unit is used to allocate the destination hospital according to the patient's condition level, location information and medical resource distribution. The ambulance dispatch unit is used to screen and dispatch the most suitable ambulance to perform the task according to matching factors. The matching factors include: the patient's urgency and acceptable waiting time, as well as the ambulance's current location, mission status and return path.

2. The real-time sharing platform for emergency and pre-hospital emergency information according to claim 1 is characterized in that: The ambulance status management unit comprises: When an ambulance is waiting to receive a task, it is marked as idle, including when the ambulance is waiting in line at the ambulance station to receive a new task, and when the ambulance fails to deliver a patient during the first task and is waiting to return to the ambulance station; After the ambulance receives the mission, its status changes to mission status. It will not change to idle status until the ambulance completes the mission, delivers the patient effectively, and returns to the rescue station to replenish consumables. When the ambulance fails to deliver a patient after performing the second mission, the ambulance must return to the rescue station to replenish consumables and remain in mission status on the way back.

3. The real-time sharing platform for emergency and pre-hospital emergency information according to claim 2 is characterized in that: The call prediction unit comprises: The number of currently idle ambulances in a certain ambulance station is recorded as N; using historical data and real-time traffic information, predict the time T1 required for the ambulances in the mission state of the ambulance station to perform the mission and the time T2 required to return to the original ambulance station from the destination hospital; based on historical mission information, use statistical methods to predict the call data M that may be received in the future T1+T2 time period; combined with the number of idle vehicles N in the current ambulance station, as well as the deployment capacity of other ambulance stations and the support capacity in emergency situations, comprehensively evaluate whether the ambulances currently idle in the ambulance station meet the demand.

4. The real-time sharing platform for emergency and pre-hospital first aid information according to claim 3 is characterized by: The matching factors are set according to the screening level, which includes: The first level is the degree of urgency of the patient: when multiple calls are received, they are divided according to the degree of urgency of the patient's condition to determine the rescue time range for each patient. The distance between the ambulance and the patient determines the call task that meets the rescue time range; and patients with higher urgency are given priority; The second level is to set the patient distance level, which is used to classify the distance between the patient and the ambulance. The higher the patient distance level, the closer the patient is to the ambulance, and the ambulance will be given priority in allocating call tasks with a higher patient distance level. The third level is to set the hospital distance level based on the second level. The hospital distance level is to classify the distance between the destination hospital of each call task and the ambulance's rescue station. The higher the hospital distance level, the closer the destination hospital of the call task is to the original rescue station of the ambulance. The ambulance will be given priority in allocating call tasks with a higher hospital distance level. At the fourth level, when the current ambulance has not delivered a patient in its first mission and is currently idle outside the ambulance station, the impact of the ambulance's second mission on the ambulance station's ability to respond to call tasks is evaluated based on the number of idle vehicles N in the ambulance station and the predicted call data volume M of the ambulance station; select call tasks with N greater than or equal to M; At the fifth level, based on the first three levels, if there are multiple ambulances that meet the requirements, the ambulance that failed to deliver a patient in the first mission will be given priority to take over the call.

5. The real-time sharing platform for emergency and pre-hospital first aid information according to claim 4 is characterized by: The medical resource management unit monitors the operating status of medical equipment in real time through the Internet of Things technology; the patient medical record management unit establishes a medical record information sharing mechanism across hospitals and departments.

6. The real-time sharing platform for emergency and pre-hospital first aid information according to claim 5 is characterized by: The hospital location information unit uses geographic information system technology to accurately mark the location of each hospital and monitor the traffic conditions around each hospital in real time.

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