Cross-organization traffic accident wounded person rapid rescue and treatment system and cross-organization traffic accident wounded person rapid rescue and treatment method

Abstract

The invention discloses a cross-organization traffic accident wounded person rapid rescue and treatment system and method. The system comprises a wounded person rescue and treatment resource management module, a wounded person rescue and treatment information cooperation module, a rescue and treatment quality evaluation module and a traffic accident wounded person rescue and treatment information base. The resource management module covers pre-hospital medical first aid resources, ambulance resources, treatment expert resources and medical institution resources, and has information addition, deletion, modification and checking functions. The information cooperation module has alarm receiving, police dispatching, on-site disposal, medical transferring and in-hospital treatment cooperation functions, and full-process cooperation is achieved through multi-source alarm receiving information fusion, injury condition evaluation, treatment resource selection and the like. The treatment quality evaluation module evaluates treatment resource coverage, individual case treatment quality and regional treatment capability through a plurality of indexes. According to the invention, the wounded can be timely, professionally and effectively treated.

Description

Technical Field

[0001] The present invention belongs to the technical field of medical rescue, and in particular relates to a system and method for rapidly rescuing and treating injured persons in cross-organizational traffic accidents. Background Art

[0002] The rescue and treatment of road traffic accident victims involves multiple stages, including police response, on-site handling, medical transfer, and in-hospital treatment. According to the "golden hour" emergency treatment theory, if victims receive effective treatment within one hour of the accident, the mortality and disability rates can be significantly reduced. However, currently, due to a poor cross-departmental coordination mechanism and limited technology, the following issues have led to significant delays in the efficient treatment of victims: First, during the police response phase, the location of the accident is determined solely by the caller's verbal description, making it difficult to accurately determine the accident location; second, the information received by the 120 emergency medical services and traffic management departments is out of sync, hindering coordinated response; second, during on-site handling, the selection of receiving hospitals relies solely on the experience of on-site medical staff, which may result in the victim being sent to a hospital without treatment capabilities, significantly increasing the risk of death and disability; third, during medical transfer, receiving hospitals lack access to information such as the victim's injury process and current vital signs, hindering early emergency preparations; and fourth, during in-hospital treatment, information on changes in the victim's condition and advance payments to relief funds is not readily available, leading to concerns about hospitals' investment in treatment measures. Fifth, the effectiveness of treatment is difficult to evaluate. The data on the injured collected by various departments are "independent" and difficult to correlate. It is impossible to review and analyze the problems that may exist in the treatment of accident victims, such as untimely rescue and inadequate first aid measures.

[0003] With the rapid development of intelligent driving and information and communications technology (ICT), the penetration rate of vehicles equipped with intelligent assisted driving features in my country has reached over 65% of new vehicles. These vehicles are often equipped with emergency alarms that accurately transmit information such as the vehicle's accident location to rescue centers. Furthermore, public security traffic management departments, 120 emergency services, and medical institutions have also been communicating accident locations and the condition of injured individuals through telephone, WeChat, and intercoms. However, these methods only address a specific aspect of rescue and treatment, and have limited impact on improving the efficiency of treatment. A cross-organizational collaborative approach to information management has not yet been established, encompassing the entire process of rescue and treatment, from police response, on-site handling, medical transfer, and in-hospital treatment. A systematic approach and system for the rapid rescue and treatment of traffic accident victims is urgently needed. Summary of the Invention

[0004] The present invention proposes a cross-organizational system and method for rapid rescue and treatment of traffic accident victims to solve the problems existing in the above-mentioned prior art.

[0005] To achieve the above objectives, the present invention provides a cross-organizational system for rapid rescue and treatment of traffic accident victims, comprising:

[0006] The casualty treatment resource management module is used to manage pre-hospital medical emergency resources, ambulance resources, treatment expert resources, and medical institution resources;

[0007] The patient treatment information coordination module is used to achieve coordination in alarm reception, police dispatch, on-site handling, medical transfer and in-hospital treatment;

[0008] The treatment quality assessment module is used to evaluate the coverage of treatment resources, the quality of individual case treatment, and regional treatment capabilities;

[0009] The traffic accident victim treatment information database is used to store data information of the victim treatment resource management module, the victim treatment information coordination module and the treatment quality assessment module.

[0010] Optionally, the wounded treatment resource management module includes:

[0011] Pre-hospital medical emergency resource module, used to record the emergency point number, name, affiliated emergency center and site address;

[0012] The ambulance resource module is used to record the license plate number, the unit to which the vehicle belongs, the list of onboard equipment, and the activation status of the vehicle positioning equipment;

[0013] The medical expert resource module is used to record the expert's name, contact information, unit name, and field of expertise;

[0014] The medical institution resource module is used to record hospital number, hospital name, grade, hospital address, trauma center status, number of emergency beds, number of trauma intensive care unit beds, number of emergency operating rooms and MDT team status information.

[0015] Optionally, the wounded rescue information collaboration module includes:

[0016] The alarm collaboration module is used to collect, integrate and visualize multi-source alarm information and generate unified alarm task work orders;

[0017] The police dispatch coordination module is used to select rescue resources based on the accident location and severity, distribute police information, and receive feedback;

[0018] On-site coordination module, used to collect injury information, select hospitals for treatment, and apply for route access guarantees;

[0019] Transfer and medical coordination module, used to monitor the vital signs of the injured and communicate about their injuries;

[0020] The in-hospital treatment coordination module is used to record in-hospital treatment information and process applications for advance payment of relief funds.

[0021] Optionally, the alarm cooperation module includes:

[0022] Multi-source alarm information collection module, used to collect alarm information from the public security traffic control command center, 120 pre-hospital medical emergency departments and third-party rescue centers;

[0023] The multi-source alarm information fusion and matching module combines the same alarm information from different sources into a unified task work order based on time, location and accident description information;

[0024] The police situation visualization module displays alarm information based on online maps and GIS technology.

[0025] Optionally, the on-site handling coordination module includes:

[0026] The injury condition collection module is used to collect the injury condition information of the injured through the description of the reporting person;

[0027] The admitting hospital screening module is used to match and sort medical institutions based on the patient's injury information;

[0028] Route planning module, used to plan the access roads between the traffic accident site and the medical institution;

[0029] The route access guarantee module is used to send access guarantee applications to the traffic management department of the public security agency and provide feedback on the results.

[0030] Optionally, the medical transfer collaboration module includes:

[0031] The patient's vital signs monitoring module is used to collect and record the patient's vital signs information;

[0032] The audio and video communication module is used to communicate the injury status through audio and video calls.

[0033] Optionally, the in-hospital treatment coordination module includes:

[0034] The in-hospital treatment information module is used to record the information of each link of the wounded's in-hospital treatment;

[0035] The rescue fund advance payment module is used to process the application, approval and feedback of the rescue fund advance payment.

[0036] Optionally, the route planning module includes:

[0037] A real-time traffic data acquisition unit is used to obtain real-time traffic data between the accident site and the medical institution from the traffic information service platform, including road congestion, construction information, traffic accident information, and traffic control conditions;

[0038] Route planning and optimization unit, used to calculate the shortest path using the Dijkstra algorithm and adjust the weights based on real-time traffic conditions to obtain the optimal route;

[0039] Dynamic adjustment unit, used to replan routes based on real-time collected traffic data;

[0040] The route information push unit is used to push the planned route information to the rescue personnel through the navigation device, guiding them to drive according to the planned route.

[0041] Optionally, the treatment quality assessment module includes:

[0042] The medical resource coverage assessment module is used to assess the coverage of pre-hospital medical emergency and medical institutions based on GIS technology;

[0043] The individual case treatment quality assessment module is used to analyze whether the entire process of treating the wounded meets the medical standards;

[0044] The regional rescue capacity assessment module is used to evaluate the rescue capacity for traffic accident victims in a specific area.

[0045] The present invention also provides a cross-organizational method for quickly rescuing and treating traffic accident victims corresponding to the system, comprising the following steps:

[0046] Manage first aid resources, ambulance resources, expert resources and medical institution resources through the casualty treatment resource management module;

[0047] The wounded rescue information collaboration module enables coordinated operations including alarm reception, dispatch, on-site handling, transfer to medical treatment, and in-hospital treatment.

[0048] Evaluate the coverage of treatment resources, individual case treatment quality, and regional treatment capacity through the treatment quality assessment module;

[0049] All collected information is stored and managed through the traffic accident victim treatment information database.

[0050] Compared with the prior art, the present invention has the following advantages and technical effects:

[0051] The cross-organizational rapid rescue and treatment system and method for traffic accident victims of the present invention, by integrating multiple resources such as public security traffic management, 120 pre-hospital medical emergency, medical institutions and relief funds, breaks down information barriers and realizes efficient collaboration of the entire process from receiving the alarm to in-hospital treatment. The system utilizes technologies such as multi-source alarm information fusion, injury assessment, and intelligent resource allocation to significantly improve the efficiency of rescue resource utilization and the timeliness of treatment of the injured. Through GIS technology and real-time data transmission, rescue personnel can quickly and accurately reach the scene of the accident and quickly match the appropriate medical institution according to the condition of the injured. In addition, the system's treatment quality assessment module can scientifically evaluate the entire treatment process and provide data support for optimizing resource allocation and improving treatment capabilities. Practice has shown that the system can effectively reduce the mortality and disability rates of traffic accident victims, improve the efficiency of rescue and treatment, and has significant social benefits and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0053] Figure 1 is a system structure diagram of an embodiment of the present invention;

[0054] Figure 2 This is a diagram showing the relationship between the system modules of the alarm receiving and dispatching link according to an embodiment of the present invention;

[0055] Figure 3 This is a diagram showing the relationship between system modules in the medical transfer process according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0057] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0058] Example 1

[0059] like Figure 1-3 As shown, this embodiment provides a cross-organizational traffic accident victim rapid rescue and treatment system, including:

[0060] The casualty treatment resource management module is used to manage pre-hospital medical emergency resources, ambulance resources, treatment expert resources, and medical institution resources;

[0061] The patient treatment information coordination module is used to achieve coordination in alarm reception, police dispatch, on-site handling, medical transfer and in-hospital treatment;

[0062] The treatment quality assessment module is used to evaluate the coverage of treatment resources, the quality of individual case treatment, and regional treatment capabilities;

[0063] The traffic accident victim treatment information database is used to store data information of the victim treatment resource management module, the victim treatment information coordination module and the treatment quality assessment module.

[0064] The casualty treatment resource management module includes a pre-hospital medical emergency resource module, an ambulance resource module, a treatment expert resource module, and a medical institution resource module. It has the functions of adding, deleting, modifying, and querying the resource information of the above modules through a communication interface or manual input. The treatment expert resource module includes information on emergency centers (stations) and online hospitals that undertake pre-hospital medical emergency tasks. Specific content includes but is not limited to the emergency point number, name of the emergency point, affiliated emergency center, station address, address longitude, address latitude, etc.; the ambulance resource module includes specific content including but not limited to the license plate number, registration date, vehicle ownership unit, on-board equipment list, vehicle positioning device activation status, etc.; the treatment expert resource module includes specific content including but not limited to the expert's name, gender, contact information, unit name, field of expertise, and professional title. The medical institution resource module includes specific content including but not limited to the hospital number, hospital name, grade, hospital address, longitude, latitude, whether there is a trauma center, number of emergency beds, number of trauma intensive care unit beds, number of emergency operating rooms, and whether there is an MDT team.

[0065] The wounded treatment information collaboration module includes the police dispatch collaboration module, the on-site handling collaboration module, the medical transfer collaboration module, and the in-hospital treatment collaboration module. It has the functions of adding, deleting, modifying, and querying the resource information of the above modules through the communication interface or manual entry. Among them, the alarm response collaboration module includes the multi-source alarm response information collection module, the multi-source alarm response information fusion and matching module, and the alarm situation visualization module. The multi-source alarm response information collection module collects the alarm response information of the public security traffic control command center, the 120 pre-hospital medical emergency department, and the third-party rescue center through the communication interface or manual entry. The multi-source alarm response information fusion and matching module automatically merges the same alarm response information from different sources based on information such as time, location, and accident description to generate a unified alarm response task work order. Task work order information includes but is not limited to: serial number, accident location, latitude of accident, longitude of accident, time of accident, accident description, contact number of the person reporting the accident, administrative division where the accident occurred, etc.; the police information visualization module, based on online maps and GIS technology, realizes the visualization of the alarm information on the map, which is convenient for the operator to quickly verify the location and dispatch medical resources. The police coordination module includes the medical resource selection module, the police information distribution module and the police information receiving module. The medical resource selection module determines the number of ambulances dispatched by the emergency center (station) and the network hospital responsible for pre-hospital medical emergency tasks according to certain rules from the ambulance resource module in the casualty treatment resource management module based on the location and severity of the accident. The alarm distribution module sends the alarm task work order to the alarm receiving module according to the determined ambulance. The specific information includes but is not limited to: serial number, task number, license plate number, driver's contact number, medical staff's contact number; the alarm receiving module is installed on the ambulance or on the mobile phone. It can receive the alarm task information issued by the dispatch center in real time and upload the current terminal's location information in real time. At the same time, the rescue personnel can feedback relevant treatment information. The specific information includes but is not limited to: license plate number, longitude, latitude, time, accident location, etc. (For specific process, see Figure 2 ). The on-site handling coordination module includes an injury information collection module, a hospital screening module, a route planning module, and a route access guarantee module. The injury information collection module collects the injury information of the injured through the description of the alarm personnel. The specific information includes but is not limited to: task number, name / anonymous, gender, age, ID type, ID number, injury description, etc. The hospital screening module matches the medical institutions with corresponding treatment capabilities from the pre-hospital medical emergency resource medical institution resource module based on the injury information of the injured, and then arranges them from near to far for medical staff to choose.

[0066] The route planning module is used to plan the route between the accident site and the medical facility. It includes: a real-time traffic data acquisition unit, which obtains real-time traffic data between the accident site and the medical facility from the traffic information service platform, including road congestion, construction information, traffic accident information, and traffic control information; a route planning and optimization unit, which calculates the shortest path using the Dijkstra algorithm and adjusts weights based on real-time traffic conditions to obtain the optimal route; a dynamic adjustment unit, which replans the route based on real-time traffic data; and a route information push unit, which pushes the planned route information to emergency personnel via navigation devices to guide them along the planned route. Real-time traffic data includes: road congestion (congestion level, average speed); construction information (construction section, estimated duration); traffic accident information (accident location, number of affected lanes); and traffic control information (traffic restrictions, road closures, temporary restrictions). Combined with historical traffic data, it predicts road condition trends in the short term. Data preprocessing: Raw data is cleaned to remove outliers (such as erroneous data caused by sensor failure). Path planning algorithm: Use the Dijkstra algorithm or A* algorithm to calculate the shortest path, and adjust the weights based on real-time traffic conditions (such as congestion coefficient and construction impact). Optimization strategy: Multi-objective optimization: Consider not only the shortest distance, but also time, number of traffic lights, and road grade (giving priority to main roads). Dynamic weight adjustment: Dynamically adjust path weights based on real-time congestion conditions (such as if a certain section of road is suddenly congested, its priority will be lowered). Alternative route generation: Calculate 3 to 5 optimal alternative routes and sort them by priority (shortest time route, most stable route, detour route). Intelligent optimization method: Machine learning prediction: Use historical traffic data to train the model to predict changes in road conditions in the next 10 to 30 minutes and avoid potentially congested sections in advance. Reinforcement learning optimization: Combine the real-time vehicle location and road condition changes to dynamically adjust the path (such as simulating the time cost of different routes and selecting the optimal solution). Special scenario optimization: Emergency rescue priority: Link with the traffic signal system to adjust the traffic light timing in advance to ensure that rescue vehicles have priority. Driving in the opposite lane: In extreme congestion, calculate whether it is possible to temporarily use the opposite lane or emergency lane. Dynamic route adjustment includes: real-time monitoring and feedback: update road condition data every 30 seconds to 1 minute to detect whether the initial route is still the best. If sudden congestion, new accidents or traffic control are detected, route replanning is triggered immediately. Dynamic replanning strategy: Gradual adjustment: If the new route partially overlaps with the original route, give priority to a smooth transition solution to avoid frequent lane changes. Emergency detour: If the original route is completely impassable (such as road closure due to a major accident), immediately switch to the best alternative route. Vehicle status adaptation: Dynamically adjust the route based on the real-time position, speed and remaining time of the rescue vehicle. If time is tight, a risk-controlled radical route can be calculated (such as red light optimization, using non-motorized vehicle lanes).Spatial interpolation methods are used to supplement missing data (e.g., some road sections lack real-time monitoring equipment). Data from different sources are unified and integrated into structured data to facilitate subsequent algorithm processing.

[0067] Machine learning prediction includes: 1. Data preparation and feature engineering; Data sources: Historical traffic data: traffic flow, average speed, and congestion event records for the past 3-6 months. Real-time sensor data: from cameras, geomagnetic sensors, and GPS floating car data. External influencing factors: weather (rain, snow, fog), holidays, large-scale events, and school start and end times. Road topology data: number of lanes, traffic light distribution, and intersection complexity. Key feature extraction: Temporal features: hour, day of the week, and whether it is peak time. Spatial features: road section ID, upstream and downstream related sections. Dynamic features: current speed, congestion index, and real-time accident reporting data. Event features: construction plan, temporary traffic control (obtained through government APIs). 2. Model selection and training; Candidate models: Time series prediction model: LSTM (Long Short-Term Memory Network): captures the temporal dependencies of traffic flow. Transformer: handles long sequence predictions and is suitable for city-level road networks. Graph Neural Network (GNN): STGNN (Spatiotemporal Graph Neural Network): models road network topology and dynamic traffic changes. Integration method: XGBoost / LightGBM: Fusion of static features (such as road grade) and dynamic features. Training optimization: Sliding window training: with 10-minute intervals, input the data of the past hour and predict the status of the next 30 minutes. Loss function: MAE (mean absolute error) + congestion penalty term (increased penalty for misjudgment of congestion). Online learning: Incrementally update the model every day to adapt to changes in traffic patterns. 3. Prediction output and application; prediction target: section-level traffic speed (next 10 / 20 / 30 minutes). Congestion probability (0-1 value, threshold >0.7 triggers an early warning). Risk of propagated congestion (such as upstream accidents may cause downstream congestion). Real-time decision support: Avoid in advance: If the probability of congestion on a certain section of road is predicted to be >80% in 10 minutes, plan a detour in advance. Dynamic Weight Adjustment: In the path planning algorithm, the predicted congestion coefficient is incorporated into the cost function: Path Cost = Distance × (1 + Predicted Congestion Coefficient) + Number of Traffic Lights × 0.5; Emergency Coordination: When congestion is predicted around the hospital, traffic police are notified in advance to facilitate traffic flow. 4. Verification and Iteration; Offline Evaluation: Metrics: RMSE (speed prediction error) and congestion detection F1-score. Comparison with Baselines: Improved performance compared with ARIMA and traditional Kalman filters. Online A / B Testing: Control Group: Routes are planned using only real-time data. Experimental Group: Combined with the prediction model, the average reduction in rescue time is calculated. Feedback Loop: The difference between actual congestion and prediction is recorded and incorporated into the next round of training data. Special events (such as sudden rainstorms) are manually annotated to enhance model robustness. 5. Expanded Application Scenarios; Traffic Light Optimization: Predict traffic peaks and dynamically adjust green light durations. Resource Scheduling: Based on prediction results, rescue vehicles are deployed in advance to high-risk areas. Public Service: Provide prediction data to common navigation apps to divert potential congestion. When encountering a cold start problem (new road section with no historical data): use transfer learning from similar road sections, or initialize default values ​​based on road levels.Real-time requirements: Lightweight models (such as a distilled Tiny-LSTM) with inference time <100ms. Data sparsity: A graph diffusion model is used to fill in sensorless road data. Through the above methods, the system can upgrade from passive response to active prediction, significantly improving rescue efficiency. In practical implementation, data integration with traffic management departments is required, and prediction accuracy must be continuously optimized. The route access guarantee module supports automatic or manual triggering. Ambulance medical personnel use this module to submit a route access guarantee application to the public security traffic management department. The route access guarantee results are then fed back to the in-vehicle terminal or mobile phone. Specific information includes, but is not limited to, license plate number, mission number, route, route type, mission ID, and application result. The transfer and medical coordination module includes a patient vital signs monitoring module and an audio and video communication module. The patient vital signs monitoring module collects patient vital signs information, including but not limited to license plate number, pulse, heart rate, respiration, systolic blood pressure, diastolic blood pressure, blood oxygen saturation, and acquisition time, through a communication interface or manual input. The audio and video communication module, based on the WEBRTC series technology, supports access to a variety of mainstream standard protocols, including but not limited to GB / T 28181, RTSP, Onvif, RTMP, JT / T808, and GA / T 1400, as well as manufacturer-specific protocols and SDKs. It also supports H.264 / H.265 video compression technology and can distribute video streams in formats such as RTMP, RTSP, HTTP-FLV, WebSocket-FLV, HLS, WebRTC, WS-FMP4, and HTTP-FMP4. This enables multi-party audio and video calls between ambulance medical staff, hospital emergency personnel, and personnel at the public security traffic control command center, allowing for timely communication about the patient's injury progress and current vital signs. (For detailed procedures, see [link]). Figure 3 ). The in-hospital rescue coordination module includes the in-hospital rescue information module and the rescue fund advance payment module. The in-hospital rescue module supports communication interface or manual input method to record the information of each link of the injured person's in-hospital treatment, including but not limited to: transfer to ICU, transfer to general ward, discharge, death, emergency observation, transfer and other links and changes in injury condition. The rescue fund advance payment module supports communication interface or manual input method to apply for, approve and feedback rescue fund advance payment information, including but not limited to: application number, relationship between applicant and victim, applicant's name, applicant's contact number, traffic management department / case handling unit to which the case belongs (place of danger), application time, victim information, victim number, victim's name, victim's gender, victim's ID number, victim's age, victim's contact number, fee type name, fee amount, rescue fee exceeding 7 days (number of rescue days), name of the treatment hospital, advance payment amount, etc.

[0068] The treatment quality assessment module includes a treatment resource coverage assessment module, a case treatment quality assessment module, and a regional treatment capacity assessment module. The treatment resource coverage assessment module is based on the pre-hospital medical emergency resource module and the medical institution resource module in the pre-hospital medical emergency resources. It uses GIS technology to calculate the coverage of pre-hospital medical emergency and medical institutions according to the urban and rural ambulance arrival time standards (for example: not less than 15 minutes in urban areas, not less than 25 minutes in rural areas, etc.), and uses red, yellow, and green colors to mark the sections that exceed the specified time by 30 minutes, exceed the specified time but less than 30 minutes, and meet the specified time. The case treatment quality assessment module analyzes the entire process information of the individual injured patient treatment collected by the injured patient treatment information coordination module, and analyzes whether each link of the individual injured patient treatment meets the normal standards based on medical rules. Specifically, it includes a pre-hospital medical emergency quality indicator module and an in-hospital treatment quality indicator module. Specific indicators of the pre-hospital medical emergency quality indicator module include but are not limited to: 120 call answering time, ambulance dispatch time, ambulance arrival time, ambulance departure time, medical treatment principles, ambulance arrival time at the hospital, whether the patient died on the way to the hospital, etc. Specific indicators of the in-hospital treatment quality indicator module include but are not limited to: emergency preparation time (minutes), the interval from the arrival of severely traumatized patients (patients with an ISS score ≥16 and a single-site injury AIS score ≥3) at the designated hospital to the start of rescue by the trauma treatment team, the time from the arrival of severely traumatized patients at the designated hospital emergency department to the completion of full-body rapid CT, chest X-ray, pelvic X-ray and FAST examinations, emergency blood transfusion preparation time (minutes), artificial airway establishment time (minutes), emergency surgery preoperative preparation time (minutes), emergency department stay time (minutes), etc. The regional rescue capacity assessment module is based on the traffic accident victim treatment information database and evaluates the traffic accident victim treatment capacity within a certain spatial range. Specific indicators include but are not limited to: accident victim treatment success rate (1-(number of deaths due to ineffective rescue / total number of people sent to the hospital on site)), 10-second 120 call answering rate (the ratio of dispatchers answering calls within 10 seconds after the emergency call enters the programmable switching system), daily emergency call satisfaction rate (the ratio of the number of vehicles dispatched by 120 dispatchers for emergency-related incidents to the number of ambulances required for emergency incidents generated by callers dialing emergency calls within 0-24 hours of the same day), 3-minute dispatch rate (the ratio of the number of dispatches with a time interval of less than or equal to 3 minutes between the time when the ambulance receives the dispatch order and the time when it starts driving to the scene), average emergency response time (the average time period from the time the dispatcher picks up the phone to the time the ambulance arrives at the agreed waiting location), pre-hospital information warning ratio (the ratio of trauma patients whose patient information is transmitted to the hospital before they are transferred to the designated hospital emergency department via pre-hospital emergency medical institutions), and fatality rate of patients with severe trauma (the ratio of the number of deaths due to severe trauma to the total number of patients with severe trauma).

[0069] The above are merely preferred embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A cross-organizational traffic accident victim rapid rescue and treatment system, characterized by: include: The casualty treatment resource management module is used to manage pre-hospital medical emergency resources, ambulance resources, treatment expert resources, and medical institution resources; The patient treatment information coordination module is used to achieve coordination in alarm reception, police dispatch, on-site handling, medical transfer and in-hospital treatment; The treatment quality assessment module is used to evaluate the coverage of treatment resources, the quality of individual case treatment, and regional treatment capabilities; The traffic accident victim treatment information database is used to store data information of the victim treatment resource management module, the victim treatment information coordination module and the treatment quality assessment module.

2. The system according to claim 1, wherein: The wounded treatment resource management module includes: Pre-hospital medical emergency resource module, used to record the emergency point number, name, affiliated emergency center and site address; The ambulance resource module is used to record the license plate number, the unit to which the vehicle belongs, the list of onboard equipment, and the activation status of the vehicle positioning equipment; The medical expert resource module is used to record the expert's name, contact information, unit name, and field of expertise; The medical institution resource module is used to record hospital number, hospital name, grade, hospital address, trauma center status, number of emergency beds, number of trauma intensive care unit beds, number of emergency operating rooms and MDT team status information.

3. The system according to claim 1, wherein: The wounded treatment information collaboration module includes: The alarm collaboration module is used to collect, integrate and visualize multi-source alarm information and generate unified alarm task work orders; The police dispatch coordination module is used to select rescue resources based on the accident location and severity, distribute police information, and receive feedback; On-site coordination module, used to collect injury information, select hospitals for treatment, and apply for route access guarantees; Transfer and medical coordination module, used to monitor the vital signs of the injured and communicate about their injuries; The in-hospital treatment coordination module is used to record in-hospital treatment information and process applications for advance payment of relief funds.

4. The system according to claim 3, characterized in that The alarm cooperation module includes: Multi-source alarm information collection module, used to collect alarm information from the public security traffic control command center, 120 pre-hospital medical emergency departments and third-party rescue centers; The multi-source alarm information fusion and matching module combines the same alarm information from different sources into a unified task work order based on time, location and accident description information; The police situation visualization module displays alarm information based on online maps and GIS technology.

5. The system according to claim 3, wherein: The on-site handling collaborative module includes: The injury condition collection module is used to collect the injury condition information of the injured through the description of the reporting person; The admitting hospital screening module is used to match and sort medical institutions based on the patient's injury information; Route planning module, used to plan the access roads between the traffic accident site and the medical institution; The route access guarantee module is used to send access guarantee applications to the traffic management department of the public security agency and provide feedback on the results.

6. The system according to claim 3, wherein: The medical transfer collaboration module includes: The patient's vital signs monitoring module is used to collect and record the patient's vital signs information; The audio and video communication module is used to communicate the injury status through audio and video calls.

7. The system according to claim 3, wherein: The in-hospital treatment coordination module includes: The in-hospital treatment information module is used to record the information of each link of the wounded's in-hospital treatment; The rescue fund advance payment module is used to process the application, approval and feedback of the rescue fund advance payment.

8. The system according to claim 5, wherein: The route planning module includes: A real-time traffic data acquisition unit is used to obtain real-time traffic data between the accident site and the medical institution from the traffic information service platform, including road congestion, construction information, traffic accident information, and traffic control conditions; Route planning and optimization unit, used to calculate the shortest path using the Dijkstra algorithm and adjust the weights based on real-time traffic conditions to obtain the optimal route; Dynamic adjustment unit, used to replan routes based on real-time collected traffic data; The route information push unit is used to push the planned route information to the rescue personnel through the navigation device, guiding them to drive according to the planned route.

9. The system according to claim 1, wherein: The treatment quality assessment module includes: The medical resource coverage assessment module is used to assess the coverage of pre-hospital medical emergency and medical institutions based on GIS technology; The individual case treatment quality assessment module is used to analyze whether the entire process of treating the wounded meets the medical standards; The regional rescue capacity assessment module is used to evaluate the rescue capacity for traffic accident victims in a specific area.

10. A cross-organizational method for rapid rescue and treatment of traffic accident victims, characterized in that: The following steps are involved: Manage first aid resources, ambulance resources, expert resources and medical institution resources through the casualty treatment resource management module; The wounded rescue information collaboration module enables coordinated operations including alarm reception, dispatch, on-site handling, transfer to medical treatment, and in-hospital treatment. Evaluate the coverage of treatment resources, individual case treatment quality, and regional treatment capacity through the treatment quality assessment module; All collected information is stored and managed through the traffic accident victim treatment information database.

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