Intelligent rescue carriage emergency record filing system

Abstract

The invention relates to the technical field of data archiving, in particular to an intelligent rescue carriage emergency record archiving system. The system comprises a rescue carriage pre-first-aid self-checking module, an emergency field checking and filing module, an on-transit emergency risk updating module and a department emergency task ending and filing module. Communication electric quantity corresponding to various types of intelligent medical equipment in the intelligent rescue carriage and data storage residual capacity corresponding to a data processing terminal can be obtained, and pre-first-aid self-inspection processing is carried out, so that the intelligent equipment complete rescue carriage is generated; intelligent medical equipment is started at a first-aid site to monitor emergency physiological information of a first-aid patient in real time, basic information of the patient and symptom information of the first-aid site are input for emergency checking and preliminary filing, and meanwhile emergency physiological update information corresponding to the patient is continuously monitored on the way for emergency risk update processing and emergency record automatic filing; and generating a patient archived electronic medical record of the emergency task. According to the invention, the information record in the medical first-aid process can be optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of data archiving, and particularly to an intelligent emergency rescue vehicle emergency record archiving system. Background Art

[0002] The working process of an emergency rescue vehicle involves multiple links, including the collection of information such as patient reception, treatment process, medical operation records, and changes in the patient's condition. Timely and accurately recording these key information not only helps medical staff understand and track the patient's condition but also provides an important basis for later medical services and quality management. However, in traditional medical emergency scenarios, the information recording in the emergency rescue vehicle mostly relies on medical staff manually filling out paper documents, which is a cumbersome and error-prone process. On the one hand, in on-site first aid, every second counts, and medical staff are busy with treatment and have no time to record key information such as changes in the patient's vital signs, medication conditions, and treatment processes in detail and accurately. On the other hand, paper records are inconvenient to carry and store, are easily lost or damaged, and are difficult to organize and archive later, making it difficult to quickly query and retrieve the full-course first aid materials of a certain case, thus reducing the archiving efficiency of emergency record information. Summary of the Invention

[0003] Based on this, it is necessary for the present invention to provide an intelligent emergency rescue vehicle emergency record archiving system to solve at least one of the above technical problems.

[0004] To achieve the above object, an intelligent emergency rescue vehicle emergency record archiving system includes the following modules:

[0005] An emergency rescue vehicle pre-first-aid self-check module, configured to obtain the communication power corresponding to various intelligent medical devices in the intelligent emergency rescue vehicle and the remaining data storage capacity of the data processing terminal, and perform pre-first-aid self-check processing on the intelligent emergency rescue vehicle based on the communication power corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal to generate a rescue vehicle with complete intelligent devices;

[0006] An emergency site verification and archiving module, configured to start the intelligent medical devices in the rescue vehicle with complete intelligent devices in the emergency site to monitor the emergency physiological information of the emergency patient in real time and automatically transmit it to the data processing terminal; the medical staff synchronously asks questions and inputs the patient's basic information and emergency site symptom information into the data processing terminal in a voice input manner, and uses the data processing terminal to perform emergency verification and preliminary archiving on the emergency physiological information of the emergency patient, the patient's basic information, and the emergency site symptom information to generate a preliminary electronic medical record at the emergency site;

[0007] The in-transit emergency risk update module is used to continuously monitor the corresponding emergency physiological update information of the patient by starting the intelligent medical devices in the intelligent rescue vehicle in real time during the transfer of the patient to the hospital department, and perform emergency risk update processing on the preliminary electronic medical record at the emergency scene based on the emergency physiological update information to generate an updated electronic medical record of the emergency patient;

[0008] The department emergency task end filing module is used to obtain the time and location corresponding to the current first aid of the rescue vehicle, and automatically file the updated electronic medical record of the emergency patient according to the preset filing rules corresponding to the hospital department based on the time and location corresponding to the current first aid of the rescue vehicle, generating an electronic medical record of the patient filed for the current emergency task.

[0009] Furthermore, the pre-first-aid self-check module of the rescue vehicle includes the following functions:

[0010] Obtain the communication power corresponding to various intelligent medical devices in the intelligent rescue vehicle;

[0011] Obtain the power connection nodes and power supply line routes corresponding to various intelligent medical devices in the intelligent rescue vehicle, and perform power dependence mining analysis among various intelligent medical devices based on the power connection nodes and power supply line routes corresponding to various intelligent medical devices to generate the power dependence relationship among various intelligent medical devices;

[0012] Perform power attenuation impact analysis on the communication power corresponding to various intelligent medical devices based on the power dependence relationship among various intelligent medical devices, so as to determine the attenuation value corresponding to the communication power among various intelligent medical devices according to the power dependence relationship, and calculate the corresponding attenuation impact factor through ratio calculation to obtain the power attenuation impact factor corresponding to various intelligent medical devices;

[0013] Obtain the remaining data storage capacity corresponding to the data processing terminal in the intelligent rescue vehicle, and perform pre-first-aid self-check processing on the intelligent rescue vehicle based on the communication power and power attenuation impact factor corresponding to various intelligent medical devices and the remaining data storage capacity corresponding to the data processing terminal to generate a fully equipped intelligent device rescue vehicle.

[0014] Furthermore, the pre-first-aid self-check processing of the intelligent rescue vehicle based on the communication power and power attenuation impact factor corresponding to various intelligent medical devices and the remaining data storage capacity corresponding to the data processing terminal includes:

[0015] Obtain the generation rate and data type proportion corresponding to various physiological data in the past first-aid cases of the rescue vehicle;

[0016] Analyze the generation rate and data type proportion corresponding to various physiological data in past emergency ambulance rescue cases for data storage and cumulative analysis to obtain the cumulative amount of physiological data stored.

[0017] Based on the cumulative amount of physiological data stored, evaluate the storage cumulative pressure on the remaining storage capacity corresponding to the data processing terminal to obtain the terminal storage cumulative pressure loss.

[0018] Based on the communication power and power attenuation impact factor corresponding to various intelligent medical devices and the terminal storage cumulative pressure loss, use the intelligent device warning calculation formula to quantify the warning of the rescue vehicle equipment for the intelligent rescue vehicle to obtain the intelligent rescue vehicle equipment warning value.

[0019] Based on the intelligent rescue vehicle equipment warning value, perform pre - first - aid self - inspection on various intelligent medical devices and data processing terminals in the intelligent rescue vehicle to generate an intelligent device - complete rescue vehicle.

[0020] Further, the intelligent device warning calculation formula is specifically as follows:

[0021]

[0022] In the formula, P is the intelligent rescue vehicle equipment warning value, t is the time variable parameter, N is the total number of intelligent medical devices in the intelligent rescue vehicle, including a portable electrocardiograph, a pulse oximeter, and an intelligent sphygmomanometer, E i (t) is the communication power corresponding to the i - th intelligent medical device at time t, λ i is the power attenuation impact factor corresponding to the i - th intelligent medical device, and ε is the terminal storage cumulative pressure loss.

[0023] Further, the emergency site verification and filing module includes the following functions:

[0024] By starting the intelligent medical devices in the intelligent device - complete rescue vehicle at the emergency site to continuously monitor the physiological information of the emergency patient, the emergency physiological information of the emergency patient is obtained.

[0025] Connect to the corresponding data processing terminal in the intelligent device - complete rescue vehicle using a wireless communication protocol and automatically transmit the emergency physiological information of the emergency patient to the data processing terminal.

[0026] Through the medical staff's synchronous inquiry, input the patient's basic information and emergency site symptom information into the data processing terminal in the form of voice input.

[0027] Use a data processing terminal to perform emergency cross-checking between the emergency physiological information of the emergency patient and the symptom information at the emergency scene. If the emergency physiological information of the emergency patient shows a too-fast heart rate, compare it with the emotional agitation or drug-taking history mentioned in the interrogation in the symptom information at the emergency scene, determine whether there is information cross-correlation, and identify the information conflict or missing part to perform emergency information cross-update, generating an emergency information cross-check update result;

[0028] According to the emergency information cross-check update result and combined with the patient's basic information, perform preliminary archiving of the emergency patient information to generate a preliminary electronic medical record at the emergency scene.

[0029] Further, the emergency physiological information of the emergency patient includes the heart rate, blood pressure, blood oxygen, and blood glucose changes corresponding to the emergency patient.

[0030] Further, the emergency risk update module during transportation includes the following functions:

[0031] During the process of transporting the patient to the hospital department, start the intelligent medical devices in the rescue vehicle with intelligent devices in real time to continuously monitor the corresponding emergency physiological update information of the patient;

[0032] Perform an analysis of the emergency condition risk changes for the corresponding emergency physiological update information of the patient to obtain the emergency physiological condition risk changes corresponding to the patient, including the sudden change in the emergency heart rate and the fluctuation in the emergency blood pressure corresponding to the patient;

[0033] The medical staff adjust the emergency measures according to the corresponding emergency physiological condition risk changes of the patient, and supplement the emergency record of medication adjustment and treatment operation information to generate an emergency condition risk doctor-patient synchronous update information;

[0034] Based on the emergency condition risk doctor-patient synchronous update information, perform emergency risk update processing on the preliminary electronic medical record at the emergency scene to generate an updated record electronic medical record of the emergency patient.

[0035] Further, the analysis of the emergency condition risk changes for the corresponding emergency physiological update information of the patient includes:

[0036] Draw a change trend graph for the heart rate and blood pressure changes in the corresponding emergency physiological update information of the patient to generate a heart rate change graph and a blood pressure change graph corresponding to the patient;

[0037] By performing amplitude and phase analysis on the heart rate change graph corresponding to the patient on the time axis, obtain the heart rate change amplitude and heart rate change phase corresponding to the patient;

[0038] Based on the heart rate change amplitude and heart rate change phase corresponding to the patient, perform an analysis for identifying the sudden change interval of the heart rate on the corresponding heart rate change graph to obtain the sudden change in the emergency heart rate corresponding to the patient;

[0039] Identify the blood pressure fluctuations in the blood pressure change graph corresponding to the patient to obtain the emergency blood pressure fluctuations corresponding to the patient.

[0040] Furthermore, the department emergency task end filing module includes the following functions:

[0041] Obtain the time and location corresponding to the current emergency of the rescue vehicle;

[0042] Obtain the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department, and perform mining analysis on the emergency filing template for the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department according to the preset filing rules corresponding to the hospital department, so as to generate an electronic medical record structured template corresponding to the current emergency task;

[0043] Based on the electronic medical record structured template corresponding to the current emergency task and combined with the time and location corresponding to the current emergency of the rescue vehicle, automatically file the updated record of the electronic medical record for the emergency patient to generate the electronic medical record for filing the patient of the current emergency task.

[0044] Furthermore, the automatic filing of the emergency record for the updated record of the electronic medical record of the emergency patient based on the electronic medical record structured template corresponding to the current emergency task and combined with the time and location corresponding to the current emergency of the rescue vehicle includes:

[0045] Perform a structured version conversion on the updated record of the electronic medical record for the emergency patient based on the electronic medical record structured template corresponding to the current emergency task to generate the structured electronic medical record of the patient for the current emergency task;

[0046] Perform disease type mining analysis on the structured electronic medical record of the patient for the current emergency task to obtain the disease types of the patient for the current emergency task;

[0047] Based on the disease types of the patient for the current emergency task and combined with the time and location corresponding to the current emergency of the rescue vehicle, divide the filing classification hierarchy to generate the date-region-disease type filing classification hierarchy path corresponding to the current emergency task;

[0048] Automatically file the structured electronic medical record of the patient for the current emergency task based on the date-region-disease type filing classification hierarchy path corresponding to the current emergency task to generate the electronic medical record for filing the patient of the current emergency task.

[0049] The beneficial effects of the present invention:

[0050] The intelligent rescue vehicle emergency record filing system proposed by the present invention is generally composed of a pre - first - aid self - inspection module for the rescue vehicle, an emergency site verification and filing module, an emergency risk update module during transportation, and an end - of - emergency task filing module for the department. Compared with the prior art, the beneficial effects of this application are as follows: it ensures that the intelligent rescue vehicle has stable working capabilities before the first - aid task, avoiding first - aid interruption or delay caused by equipment failure or insufficient power. Among them, various intelligent medical devices include but are not limited to electrocardiogram monitors, blood oxygen saturation monitors, portable ultrasound devices, etc. They need to maintain efficient communication and data transmission capabilities. By self - inspecting these devices, the status of the devices can be evaluated in real time to confirm whether there is a situation of insufficient power or insufficient storage space. If the device has insufficient power, the system can automatically activate the backup power supply or prompt medical staff to replace the battery. The remaining storage capacity of the data processing terminal is also checked to ensure there is enough space to process the patient's physiological data and other first - aid information, so as to be able to give timely feedback and perform necessary repair or replacement operations, providing more accurate and efficient first - aid services for patients. Secondly, through the joint work of intelligent devices and data processing terminals, real - time monitoring of the patient's physiological information and condition at the first - aid site and synchronous data entry are realized. Intelligent medical devices can continuously monitor the patient's physiological information, such as heart rate, respiratory rate, blood pressure, blood oxygen saturation, etc. All data is transmitted to the data processing terminal in real time through the communication network. Medical staff enter the patient's basic information and symptoms at the first - aid site, such as onset time, past medical history, current symptoms, etc., through voice input. This process can greatly improve the efficiency of data collection, reduce the cumbersome manual input, match and verify the patient's emergency physiological information with the basic information and symptom information, so as to generate a preliminary electronic medical record at the first - aid site, which can accurately record key information such as changes in the patient's vital signs, medication conditions, and treatment processes, and ensure the integrity and timeliness of all information. Then, during the process of transporting the patient to the hospital, continuously pay attention to the patient's emergency physiological information to ensure real - time update of the patient's status. Intelligent devices continuously monitor and feedback the patient's physiological parameters during transportation, and medical data is continuously transmitted to the data processing terminal, timely reflecting the patient's condition changes. For example, if abnormal fluctuations occur in indicators such as the patient's heart rate and blood pressure, the system can automatically prompt medical staff to perform necessary first - aid interventions and update the relevant data in the medical record. This continuous monitoring not only improves the first - aid capabilities of the rescue vehicle, but also enables the hospital reception team to understand the patient's condition in advance, so as to perform more accurate management when the patient arrives, ensuring that the situation is clear when the hospital department receives the patient, and reducing the risk of misdiagnosis or missed diagnosis caused by incomplete information or poor communication during the patient transportation process.Finally, by obtaining the time and location of the first-aid mission, combining the emergency mission of the rescue vehicle with the filing rules of hospital departments, the electronic medical records of first-aid patients are automatically filed. This process greatly improves the management efficiency and standardization of medical records. The emergency records of patients will be automatically filed into the hospital's electronic medical record system, and the filed content will be classified according to the preset standards of hospital departments. Through automated filing, errors or omissions caused by manual operations can be eliminated, ensuring the accuracy and integrity of medical records, enabling hospital departments to accurately grasp the first-aid history of each patient on the rescue vehicle, ensuring the confidentiality and security of medical data, and avoiding problems such as information loss and incorrect storage caused by manual entry or storage, thereby improving the filing efficiency of emergency record information. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments read in conjunction with the accompanying drawings:

[0052] Figure 1 It is a schematic diagram of the modules of the intelligent rescue vehicle emergency record filing system of the present invention;

[0053] Figure 2 is Figure 1 a schematic diagram of the functional flow of the pre-emergency self-check module in the rescue vehicle;

[0054] Figure 3 is Figure 1 a schematic diagram of the functional flow of the emergency site verification and filing module in. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The technical system of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts belong to the scope of protection of the present invention.

[0056] In addition, the accompanying drawings are only schematic diagrams of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0057] It should be understood that although terms such as "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0058] To achieve the above object, please refer to Figures 1 to 3 , the present invention provides an intelligent emergency rescue vehicle record filing system, and the system includes the following modules:

[0059] The pre-emergency self-check module of the rescue vehicle is used to obtain the communication power corresponding to various intelligent medical devices in the intelligent rescue vehicle and the remaining data storage capacity of the data processing terminal, and perform pre-emergency self-check processing on the intelligent rescue vehicle based on the communication power corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal to generate a rescue vehicle with complete intelligent devices;

[0060] The emergency site verification and filing module is used to start the intelligent medical devices in the rescue vehicle with complete intelligent devices in real time at the emergency site to monitor the emergency physiological information of the emergency patient and automatically transmit it to the data processing terminal; the medical staff synchronously asks questions and inputs the basic information of the patient and the emergency site symptom information into the data processing terminal in a voice input manner, and uses the data processing terminal to perform emergency verification and preliminary filing on the emergency physiological information of the emergency patient, the basic information of the patient and the emergency site symptom information to generate a preliminary electronic medical record at the emergency site;

[0061] The emergency risk update module during transportation is used to start the intelligent medical devices in the rescue vehicle with complete intelligent devices in real time during the process of transporting the patient to the hospital department to continuously monitor the updated emergency physiological information corresponding to the patient, and perform emergency risk update processing on the preliminary electronic medical record at the emergency site based on the updated emergency physiological information to generate an updated record electronic medical record of the emergency patient;

[0062] The department emergency task end filing module is used to obtain the time and location corresponding to the current emergency of the rescue vehicle, and automatically file the updated record electronic medical record of the emergency patient according to the preset filing rules corresponding to the hospital department based on the time and location corresponding to the current emergency of the rescue vehicle to generate a patient filing electronic medical record for this emergency task.

[0063] In the embodiment of the present invention, please refer to Figure 1 As shown, it is a schematic diagram of the modules of the intelligent emergency rescue vehicle record filing system of the present invention. In this example, the intelligent emergency rescue vehicle record filing system includes:

[0064] S1: A pre-first aid self-check module for a rescue vehicle, which is used to obtain the communication power corresponding to various intelligent medical devices in the intelligent rescue vehicle and the remaining data storage capacity corresponding to the data processing terminal, and to perform a pre-first aid self-check on the intelligent rescue vehicle based on the communication power corresponding to various intelligent medical devices and the remaining data storage capacity corresponding to the data processing terminal, so as to generate a rescue vehicle with complete intelligent equipment;

[0065] In an embodiment of the present invention, by starting the self-check system of the intelligent rescue vehicle, the system will communicate with all the intelligent medical devices in the vehicle to confirm the communication power status of each device. These devices include electrocardiogram (ECG), blood oxygen saturation detector, body temperature monitoring equipment, etc. Through the power monitoring function of the device itself, the battery power data of the device is obtained in real time and summarized. At the same time, the system will also check the storage capacity of the data processing terminal in the vehicle, especially the storage space for storing emergency patient information and monitoring data. The data processing terminal will scan the storage space and display the remaining available capacity. If the power or storage capacity is lower than the preset threshold, the system will issue an alarm and provide corresponding supplementary measures, such as replacing the battery, clearing the storage space, etc., to ensure that the rescue vehicle is in a complete working state. After completing the self-check, the system generates a report showing the status of all intelligent medical devices and starts the self-check end process. The rescue vehicle is considered to be in an available state and has the conditions for performing emergency tasks, and finally generates a rescue vehicle with complete intelligent equipment.

[0066] S2: Emergency scene verification and archiving module, which is used to start the intelligent equipment at the emergency scene to complete the intelligent medical equipment in the rescue vehicle to monitor the emergency physiological information of the emergency patient in real time and automatically transmit it to the data processing terminal; the medical staff will enter the patient's basic information and emergency scene symptom information into the data processing terminal in the form of voice input through synchronous consultation, and use the data processing terminal to perform emergency verification and preliminary archiving of the emergency physiological information, basic information and emergency scene symptom information of the emergency patient, so as to generate a preliminary electronic medical record at the emergency scene;

[0067] In the embodiments of the present invention, when the intelligent rescue vehicle arrives at the first-aid scene, the intelligent medical devices in the vehicle are immediately activated to start real-time monitoring of the patient's physiological data. For example, the electrocardiogram device continuously monitors the patient's heart rate and electrocardiogram waveform, the oximeter records the blood oxygen saturation, and the body temperature monitor tracks the body temperature changes. These data are automatically transmitted to the data processing terminal in the vehicle through the communication system in the vehicle. At the same time, the medical staff use the voice recognition terminal configured in the vehicle to input the patient's basic information, such as name, age, medical history, etc., and the symptom information observed at the first-aid scene, such as coma, shortness of breath, bleeding, etc., through voice input. These information are synchronously transmitted to the data processing terminal together with the physiological data continuously monitored by the intelligent medical devices. The data processing terminal conducts preliminary verification and processing by integrating the patient's physiological data, basic information, and symptom information at the first-aid scene to generate an emergency electronic medical record for the first-aid patient. At this time, the electronic medical record not only includes the patient's basic information, but also records the symptom description at the first-aid scene and the physiological data monitored in real time, serving as an important basis for subsequent decision-making, and finally archiving to generate a preliminary electronic medical record for the emergency scene.

[0068] S3: An emergency risk update module during transportation, which is used to continuously monitor the corresponding emergency physiological update information of the patient by activating the intelligent medical devices in the intelligent rescue vehicle in real time during the process of transporting the patient to the hospital department, and perform emergency risk update processing on the preliminary electronic medical record of the emergency scene based on the emergency physiological update information to generate an updated record electronic medical record for the emergency patient;

[0069] In the embodiments of the present invention, during the process of transporting the patient to the hospital, the intelligent medical devices in the rescue vehicle continue to monitor and record the patient's physiological data, such as electrocardiogram, blood pressure, blood oxygen saturation, etc. If the patient's physiological state changes, the device will update the data in real time and transmit it to the data processing terminal in the vehicle. During this process, the data processing terminal will use the real-time monitored emergency physiological update information to perform risk update on the preliminary electronic medical record of the first-aid patient generated previously. For example, if the patient shows arrhythmia or an increase in shortness of breath, the system will automatically calculate and prompt potential first-aid risks. This update not only includes the patient's current physiological information, but also triggers changes in clinical decisions, such as adjustments to first-aid drugs or the need for additional vital sign monitoring. The updated electronic medical record records the latest physiological data, emergency risk assessment, and possible emergency treatment measures, providing more complete information support for doctors. The generated is an updated record electronic medical record for the emergency patient, and this medical record will be continuously updated during the patient's transportation process to ensure the real-time and accuracy of the information, and finally generate an updated record electronic medical record for the emergency patient.

[0070] S4: Department Emergency Task End Archiving Module, which is used to obtain the time and location corresponding to the current first aid of the emergency vehicle, and automatically archive the emergency records of the electronic medical records of the emergency patients based on the time and location corresponding to the current first aid of the emergency vehicle according to the preset archiving rules corresponding to the hospital departments, and generate the archived electronic medical records of the patients for this emergency task.

[0071] In the embodiment of the present invention, when the emergency vehicle approaches the hospital, the system automatically obtains the current time and location information. The time information is recorded by the clock system inside the emergency vehicle, and the location information is obtained through the GPS system to ensure that the patient records are accurately associated with the geographical location. During the process of the emergency vehicle arriving at the hospital, the system archives the updated electronic medical records of the emergency patients according to the preset archiving rules of the hospital departments. For example, different departments have different storage requirements. The emergency department may require archiving the medical records in the order of first aid treatment time, while the ICU department needs to archive according to the severity of the patient's condition. The system will automatically import the patient's electronic medical records into the hospital's electronic medical record system according to the preset rules and perform appropriate classified storage, generating the archived electronic medical records of the patients for this first aid task, which includes all the data collected during the first aid process, monitoring records, updated emergency risks, and the final first aid treatment results. These data will be stored in the hospital's electronic medical record system, and finally archived to generate the archived electronic medical records of the patients for this emergency task.

[0072] Furthermore, the pre - first - aid self - inspection module of the emergency vehicle includes the following functions:

[0073] Obtain the communication power corresponding to various intelligent medical devices in the intelligent emergency vehicle;

[0074] Obtain the power connection nodes and power supply line routes corresponding to various intelligent medical devices in the intelligent emergency vehicle, and conduct power - dependence mining and analysis among various intelligent medical devices based on the power connection nodes and power supply line routes corresponding to various intelligent medical devices to generate the power - dependence relationships among various intelligent medical devices;

[0075] Conduct power - attenuation impact analysis on the communication power corresponding to various intelligent medical devices based on the power - dependence relationships among various intelligent medical devices, so as to determine the attenuation values corresponding to the communication power among various intelligent medical devices according to the power - dependence relationships, and calculate the corresponding attenuation impact factors through ratio calculation to obtain the power - attenuation impact factors corresponding to various intelligent medical devices;

[0076] Obtain the remaining data storage capacity of the data processing terminal in the intelligent emergency vehicle, and conduct pre - first - aid self - inspection processing on the intelligent emergency vehicle based on the communication power and power - attenuation impact factors corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal to generate a fully - equipped intelligent - device emergency vehicle.

[0077] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 The function flow diagram of the self-check module before emergency rescue of the rescue vehicle is shown in FIG. 1 . In this embodiment, the functions of the self-check module before emergency rescue of the rescue vehicle include:

[0078] S11: Obtain the communication power corresponding to various intelligent medical devices in the intelligent rescue vehicle;

[0079] In the embodiment of the present invention, the current communication power of each device is obtained through the power monitoring module of various intelligent medical devices in the intelligent rescue vehicle. These devices can monitor the battery power status in real time through the built-in battery management module of the embedded system, and transmit data to the central control unit. Depending on the device, the power data collected by the battery management module will be stored in a specific format (such as percentage, volts, etc.) and transmitted to the data center for subsequent analysis. The communication power value will be updated regularly and synchronized to the central server in real time through wireless communication technology (such as Wi-Fi, Bluetooth, etc.) to ensure that the power information is accurate and reliable. Intelligent medical devices include but are not limited to monitors, ventilators, defibrillators, etc. It is necessary to obtain the communication power of each device separately, and generate a device power report, and finally obtain the communication power corresponding to various intelligent medical devices.

[0080] S12: obtaining power connection nodes and power supply line directions corresponding to various intelligent medical devices in the intelligent rescue vehicle, and performing power dependency mining and analysis between various intelligent medical devices based on the power connection nodes and power supply line directions corresponding to various intelligent medical devices, so as to generate power dependency relationships between various intelligent medical devices;

[0081] In an embodiment of the present invention, the power connection node information of each intelligent medical device is obtained through the power system design diagram or wiring diagram in the intelligent rescue vehicle. These devices are connected to the power management system in the vehicle through cables. The power connection nodes are usually distributed and powered by different power distribution devices. The power dependency relationship between each medical device is determined by detecting the power output data in the power distributor or the power management system. Subsequently, the power flow analysis algorithm (such as shortest path analysis or topology analysis) is used to analyze the direction of the power line to clarify which devices are dependent on each other in power supply. For example, some devices have a large power demand and rely on multiple power nodes, while other devices may only rely on a single node. On this basis, a power dependency diagram between devices is constructed to indicate the power supply chain between devices. This analysis result can effectively help the system identify the power dependency risk between devices, and ultimately mine and generate power dependency relationships between various types of intelligent medical devices.

[0082] S13: Analyze the impact of power attenuation on the communication power of various intelligent medical devices based on the power dependence relationship between different types of intelligent medical devices, determine the attenuation values corresponding to the communication power between various intelligent medical devices according to the power dependence relationship, and calculate the corresponding attenuation impact factors through ratio calculation for the obtained attenuation values, so as to obtain the power attenuation impact factors corresponding to various intelligent medical devices;

[0083] In the embodiment of the present invention, through the constructed power dependence relationship graph, combined with the power usage patterns and power consumption rates of each device, power attenuation impact analysis is carried out. The specific method is as follows: First, model the power consumption curve of each device, and set its power consumption rate according to the power requirements of the device in different working states (such as standby, normal operation, full-load operation, etc.). Then, by considering the reliability of power supply and the power transmission efficiency (such as factors like voltage attenuation, line impedance, etc.), quantitatively analyze the power attenuation of each device. Based on the power dependence relationship, analyze the power sharing situation among devices and its impact on the overall power attenuation, and generate the power attenuation impact factor for each device (such as the degree of power drop caused by unstable power supply or dependence on the power consumption of other devices). The determination of this factor will help evaluate the communication ability and power consumption situation of the device in case of emergencies. That is, determine the power attenuation values corresponding to the intelligent medical devices with connection relationships (such as portable electrocardiographs, pulse oximeters, intelligent sphygmomanometers) according to the power dependence relationship between various intelligent medical devices, and calculate the corresponding attenuation impact factors through ratio calculation for the obtained power attenuation values. For example, if the corresponding power dependence relationship determines that there is a connection between a portable electrocardiograph and an intelligent sphygmomanometer, and the power of the portable electrocardiograph is consumed earlier than that of the intelligent sphygmomanometer, when the power of the portable electrocardiograph attenuates, it will affect the power supply stability of the intelligent sphygmomanometer, and further affect its communication power. For example, when the power of the portable electrocardiograph drops by 10%, the communication power of the intelligent sphygmomanometer is affected and drops by 5%. Then, the power attenuation impact factor of the intelligent sphygmomanometer on the portable electrocardiograph is 0.5, and the power attenuation impact factor of the portable electrocardiograph on the intelligent sphygmomanometer is 2. Finally, obtain the power attenuation impact factors corresponding to various intelligent medical devices.

[0084] S14: Obtain the remaining data storage capacity of the data processing terminal in the intelligent rescue vehicle, and perform a pre-emergency self-check process on the intelligent rescue vehicle based on the communication power and power attenuation impact factors corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal, so as to generate a rescue vehicle with complete intelligent devices.

[0085] In an embodiment of the present invention, by obtaining in real time the remaining data storage capacity of the data processing terminal (such as an in-vehicle computer or a central control terminal) in the intelligent rescue vehicle, which can be monitored and analyzed through the storage management system inside the data processing terminal to obtain the current available storage space information. Then, the communication power and the power attenuation impact factor of each type of intelligent medical device obtained in the previous steps are combined with the remaining data storage capacity for self-check processing before first aid. This self-check process includes evaluating whether the device can operate normally under the dual constraints of power and storage capacity. During this process, the system will intelligently determine whether it is necessary to perform priority sorting or power replenishment adjustment of the device according to the power state and the remaining storage capacity of the device to ensure that the device can respond quickly and provide first aid support in an emergency. For example, if a device has too low power and insufficient storage space, the system will give an early warning and suggest taking operations such as replenishing power or cleaning data. In addition, the system will generate a status report of the "intelligent device complete rescue vehicle" to ensure that all intelligent medical devices in the rescue vehicle are in the best working state before first aid, and finally generate an intelligent device complete rescue vehicle.

[0086] Further, the pre-first-aid self-check processing of the intelligent rescue vehicle based on the communication power and the power attenuation impact factor corresponding to each type of intelligent medical device and the remaining data storage capacity of the data processing terminal includes:

[0087] Obtaining the generation rate and the data type proportion corresponding to various physiological data in the first-aid cases of past rescue vehicles;

[0088] In an embodiment of the present invention, by collecting and analyzing the physiological data in the first-aid cases of past rescue vehicles, through backtracking the historical first-aid cases, different types of physiological data (such as heart rate, blood pressure, respiratory rate, body temperature, etc.) and the generation rate of these data during the first-aid process are obtained. The data collection tools can include real-time data recorded by intelligent medical devices (such as portable electrocardiographs, pulse oximeters, sphygmomanometers, etc.) and electronic health records stored in the medical record system. The data type proportion can be determined by analyzing the proportion of various types of data in all first-aid cases. For example, the heart rate data accounts for 40% of all data types, and the blood oxygen saturation data accounts for 30%. Through data cleaning and processing, the generation rate (the amount of data generated per unit time) of various physiological data and the proportion of data types can be obtained, and finally the generation rate and the data type proportion corresponding to various physiological data are obtained.

[0089] Preferably, data storage cumulative analysis is performed according to the generation rate and the data type proportion corresponding to various physiological data in the first-aid cases of past rescue vehicles to obtain the physiological data storage cumulative amount;

[0090] In an embodiment of the present invention, a storage accumulation analysis is performed on the physiological data in past emergency cases based on the previously acquired data types and generation rates. First, by combining the generation rate of each type of physiological data (such as the amount of data generated per second or per minute) and the data type ratio, the storage requirement of each type of data during the emergency process can be calculated. The cumulative storage amount is calculated based on the data generation rate and the time period of the emergency process. For example, in an emergency process, if the generation rate of heart rate data is 0.5KB / min and the blood pressure data is 0.2KB / min, then if the emergency process lasts for 30 minutes, the storage requirement for heart rate data is 15KB and that for blood pressure data is 6KB. In this way, the total storage requirement for each type of physiological data can be calculated, and these data can be summarized to obtain the cumulative amount of physiological data storage. The analysis results are helpful in evaluating the data storage requirements during the emergency process and ultimately obtaining the cumulative amount of physiological data storage.

[0091] Preferably, based on the accumulated amount of physiological data storage, the storage accumulated pressure evaluation is performed on the remaining capacity of data storage corresponding to the data processing terminal to obtain the terminal storage accumulated pressure loss;

[0092] In an embodiment of the present invention, based on the previously calculated cumulative amount of physiological data storage, it is necessary to evaluate the remaining storage capacity of the data processing terminal and analyze the cumulative storage pressure. First, the total storage capacity of the terminal is determined, for example, the memory capacity of the data processing terminal is 2GB. Then, the previously obtained storage demand is compared with the remaining storage capacity of the terminal to calculate the storage pressure. For example, if the cumulative amount of physiological data that needs to be stored during the first aid process is 1.5GB, and the remaining capacity of the terminal is 1GB, a storage pressure of 0.5GB will be generated. Next, by further analyzing the storage pressure in combination with the corresponding cumulative amount of physiological data, that is, by quantitatively calculating the ratio between the storage pressure and the cumulative amount of physiological data, the cumulative pressure loss of the terminal physiological data storage can be obtained, which can lead to problems such as data loss, processing delays or equipment failures. The purpose of this step is to evaluate the storage pressure of the equipment in advance to prevent storage overload from affecting the smooth progress of the first aid operation, and finally obtain the terminal storage cumulative pressure loss.

[0093] Preferably, based on the communication power and power attenuation influence factors corresponding to various types of intelligent medical devices and the accumulated pressure loss of terminal storage, the intelligent device early warning calculation formula is used to quantify the equipment early warning of the intelligent rescue vehicle to obtain the equipment early warning value of the intelligent rescue vehicle;

[0094] In the embodiments of the present invention, by using the communication power consumption, power attenuation factor of various intelligent medical devices, and the cumulative pressure loss of the terminal storage, the intelligent rescue vehicle is quantitatively pre-warned through the intelligent device pre-warning calculation formula. First, for each type of intelligent medical device (such as a portable electrocardiograph, a pulse oximeter, an intelligent sphygmomanometer, etc.), its power consumption rate and battery attenuation factor are obtained. The attenuation factor reflects the degree of power reduction of the device battery over time during use. Then, the power consumption of various devices is combined with the cumulative pressure loss of the terminal storage, and the overall power of the rescue vehicle equipment is evaluated using the pre-warning calculation formula. If the device power is insufficient or the storage pressure is too high during the first aid process, the device may not work properly, thus affecting the first aid efficiency. Through the quantified pre-warning value, a device failure alarm can be issued in advance to prompt the maintenance personnel to replace the battery, clean the storage, or perform other maintenance operations in a timely manner. In addition, the intelligent device pre-warning calculation formula can also use any device anomaly pre-warning method in the field to replace the process of quantifying the pre-warning of the rescue vehicle equipment, and is not limited to this intelligent device pre-warning calculation formula.

[0095] Preferably, based on the pre-warning value of the intelligent rescue vehicle equipment, various intelligent medical devices and data processing terminals in the intelligent rescue vehicle are subjected to pre-first aid self-check processing to generate a complete rescue vehicle with intelligent devices.

[0096] In the embodiments of the present invention, based on the pre-warning value of the intelligent rescue vehicle equipment obtained in the previous step, pre-first aid self-check processing is carried out. First, for devices with a pre-warning value higher than the threshold (such as devices with excessive storage pressure or insufficient power), system self-checks are performed. The self-check process includes checking the battery power, data storage status, communication function, and whether the device is operating normally of the device. For devices with excessive storage pressure, the system will automatically prompt for storage cleaning to free up space; for devices with insufficient power, the system will charge the power or replace the battery; if there are communication problems, the system will check the connection status between devices to ensure smooth data transmission between devices. Through this series of self-check operations, it is ensured that all devices are in the best working state before first aid, avoiding unnecessary delays or errors during the first aid process due to device failures or data storage problems. The generated complete rescue vehicle with intelligent devices can provide efficient first aid services, improve the success rate of rescue, and finally generate a complete rescue vehicle with intelligent devices.

[0097] Further, the intelligent device pre-warning calculation formula is specifically:

[0098]

[0099] In the formula, P is the pre-warning value of the intelligent rescue vehicle equipment, t is the time variable parameter, N is the total number of intelligent medical devices in the intelligent rescue vehicle, including a portable electrocardiograph, a pulse oximeter, an intelligent sphygmomanometer, Ei (t) is the communication power corresponding to the i-th intelligent medical device at time t, and λ i is the power attenuation impact factor corresponding to the i-th intelligent medical device, and ε is the cumulative pressure loss of the terminal storage.

[0100] In the present invention, a warning calculation formula for intelligent devices is obtained through the use of a specific mathematical model and verification, which is used to quantify the warning of the rescue vehicle equipment for the intelligent rescue vehicle. This intelligent device warning calculation formula comprehensively considers parameters such as the communication power of intelligent medical devices, the power attenuation impact factor, and the storage pressure loss, helping to evaluate the operating state of the device in real time. As time goes by, the power of the device will attenuate, and at the same time, the amount of physiological data that the device needs to process will also increase with the accumulation of storage. Through warning calculations, it is possible to predict in advance situations such as insufficient power or excessive storage pressure of certain devices, and thus take timely measures. Through the comprehensive consideration of power attenuation and storage pressure correction, where power attenuation directly affects the normal operation of the device, while the physiological data storage pressure loss is related to the demand for data storage, the correction coefficient and performance load constant in the formula, etc., further consider the impact of these factors on the device load, and combine power attenuation and storage pressure for correction, which can more accurately reflect the pressure encountered by the device during first aid, and thus issue device warnings in advance. Through the calculated warning value of the intelligent rescue vehicle equipment, the rescue vehicle system can judge in advance the load, storage, power and other states of various intelligent devices, providing a quantitative basis for the health status of the devices. In this way, the operator can adjust the device usage in a timely manner during first aid to avoid device failures or inability to provide support at critical moments. Through the calculation of the device warning value, it is possible to implement pre-first aid self-check processing for all intelligent medical devices in the rescue vehicle. The warning value reflects the health status of the rescue vehicle equipment, determines whether each device in the rescue vehicle needs maintenance, and ensures that the intelligent devices in the rescue vehicle can operate smoothly during an emergency, guaranteeing the real-time transmission and processing of information during first aid. In addition, first, for the i-th intelligent medical device, its communication power is a quantity that changes with time t. In actual situations, the power of the device will gradually attenuate as the usage time increases. To describe this characteristic of power attenuation, the power attenuation impact factor λ i , and the exponential function E i (t) can well describe the natural attenuation process of power over time. When t = 0, represents that the power of the device has not attenuated at the initial moment; as t increases, the value gradually decreases, reflecting the attenuation of power, so represents the actual effective power of the i-th intelligent medical device considering the natural attenuation of power. The cumulative pressure loss in the terminal storage is a comprehensive factor, which includes the mutual interference between devices, the influence of the storage environment on device performance, etc. The term (1 + ε) takes into account the cumulative pressure loss in the terminal storage, making the calculated power more in line with the actual situation. represents the actual power situation of the i-th intelligent medical device considering power attenuation and the cumulative pressure loss in the terminal storage. At the same time, if there are N intelligent medical devices in the intelligent rescue vehicle, in order to obtain the warning value of the entire intelligent rescue vehicle equipment, it is necessary to sum up the above power situations of all devices. Therefore, Through this summation formula, the actual power situations of each device are combined to obtain the warning value of the entire intelligent rescue vehicle equipment. This can help to understand the comprehensive power status of all intelligent medical devices in the intelligent rescue vehicle in real time. During the rescue process, the stability of the device power is very important. This formula can help medical staff to timely detect whether the device power is in a dangerous state, so as to take measures in advance, such as replacing the battery or charging, etc. To sum up, this formula fully considers the warning value P of the intelligent rescue vehicle equipment, the time variable parameter t, the total number N of intelligent medical devices in the intelligent rescue vehicle, including portable electrocardiographs, pulse oximeters, intelligent sphygmomanometers, the communication power E i (t) of the i-th intelligent medical device at time t, the power attenuation influence factor λ of the i-th intelligent medical device i , and the cumulative pressure loss ε in the terminal storage. According to the mutual correlation relationship between the warning value P of the intelligent rescue vehicle equipment and the above parameters, a functional relationship is formed. This formula can realize the quantification process of the warning of the rescue vehicle equipment in the intelligent rescue vehicle, thus improving the accuracy and applicability of the warning calculation formula of intelligent devices.

[0101] Furthermore, the emergency site verification and archiving module includes the following functions:

[0102] By starting the intelligent medical devices in the intelligent device complete rescue vehicle at the emergency site to continuously monitor the physiological information of the emergency patient, the emergency physiological information of the emergency patient can be obtained;

[0103] Use the wireless communication protocol to connect with the corresponding data processing terminal in the intelligent device complete rescue vehicle and automatically transmit the emergency physiological information of the emergency patient to the data processing terminal;

[0104] Through the medical staff's synchronous inquiry, the basic information of the patient and the emergency site symptom information are input into the data processing terminal in the form of voice input;

[0105] Use a data processing terminal to perform emergency cross-checking between the emergency physiological information of an emergency patient and the symptom information at the emergency scene. If the emergency physiological information of the emergency patient shows a too-fast heart rate, compare it with the emotional agitation or medication history mentioned in the symptom information at the emergency scene during the interrogation, determine whether there is information cross-correlation, and identify the information conflict or missing part to perform emergency information cross-update, generating an emergency information cross-check update result;

[0106] Based on the emergency information cross-check update result and combined with the basic information of the patient, perform preliminary archiving of the emergency patient information to generate a preliminary electronic medical record at the emergency scene.

[0107] As an embodiment of the present invention, refer to Figure 2 shown, for Figure 1 the functional flow diagram of the emergency scene check and archive module in

[0108] S21: When at the emergency scene, start the intelligent medical devices in the rescue vehicle by activating the intelligent device to continuously monitor the physiological information corresponding to the emergency patient, so as to obtain the emergency physiological information of the emergency patient;

[0109] In the embodiment of the present invention, when at the emergency scene, when the rescue personnel determine that it is necessary to activate the intelligent device-equipped rescue vehicle, first activate the intelligent medical devices in the vehicle to continuously monitor the physiological information of the emergency patient. This device includes an electrocardiograph (ECG), a sphygmomanometer, a pulse oximeter, a blood glucose detector, etc. The device obtains and records the changes in the heart rate, blood pressure, blood oxygen saturation, and blood glucose value of the emergency patient in real time through sensors. For example, the electrocardiograph continuously monitors the electrocardiogram activity and records the heart rate changes, the sphygmomanometer continuously monitors the blood pressure fluctuations, the pulse oximeter reads and records the blood oxygen saturation, and the blood glucose detector measures the blood glucose level through the patient's blood sample. After these physiological information are collected by the device, they are stored in the form of digital data and transmitted to the data processing terminal in the vehicle for subsequent analysis and processing, and finally the emergency physiological information of the emergency patient is obtained.

[0110] S22: Connect to the corresponding data processing terminal in the intelligent device-equipped rescue vehicle using a wireless communication protocol and automatically transmit the emergency physiological information of the emergency patient to the data processing terminal;

[0111] In the embodiment of the present invention, after the physiological information of the first-aid patient is obtained through the intelligent medical device, the data processing terminal is connected to the intelligent device system in the vehicle through a wireless communication protocol (such as Wi-Fi or Bluetooth), and the real-time collected physiological information of the first-aid patient is automatically transmitted to the data processing terminal. In this process, the data processing terminal establishes a stable connection with each device through the wireless network interface to ensure the integrity and accuracy of the physiological data. During the transmission process, an encryption algorithm is used to protect the privacy of the data to prevent the data from being accessed or tampered with without authorization during the transmission. The transmitted data includes important physiological indicators such as heart rate, blood pressure, blood oxygen saturation, and blood glucose changes. These information will be compared and analyzed with the patient's symptom information in the subsequent steps.

[0112] S23: The medical staff synchronously asks questions and inputs the basic information of the patient and the symptom information at the first-aid scene into the data processing terminal in the form of voice input;

[0113] In the embodiment of the present invention, the medical staff inputs the basic information of the patient and the symptom information at the first-aid scene into the data processing terminal in the form of voice input at the first-aid scene. Specifically, during the operation, the medical staff uses the voice recognition system to clearly describe the personal information of the patient, such as name, age, gender, past medical history, etc., and at the same time describes the symptom information at the first-aid scene, including the patient's pain, dyspnea, dizziness and other symptoms. The voice recognition system converts the voice information of the medical staff into text and further confirms the accuracy of the input information through voice commands. The input information is then stored in the data processing terminal, and finally the basic information of the patient and the symptom information at the first-aid scene are obtained.

[0114] S24: Use the data processing terminal to perform an emergency cross-check between the emergency physiological information of the first-aid patient and the symptom information at the first-aid scene. If the emergency physiological information of the first-aid patient shows a too fast heart rate compared with the emotional excitement or drug-taking history mentioned in the symptom information during the interrogation at the first-aid scene, judge whether there is an information cross-correlation, and identify the information conflict or missing part and perform an emergency information cross-update to generate an emergency information cross-check update result;

[0115] In an embodiment of the present invention, after a data processing terminal receives the emergency physiological information and the emergency scene symptom information of an emergency patient, an emergency cross-checking program is started. Taking the emergency physiological information of a too-fast heart rate as an example, the program automatically searches the emergency scene symptom information to see if factors such as emotional excitement or a history of drug use that may cause a too-fast heart rate are mentioned. If emotional excitement is mentioned, it is determined that there is a cross-correlation between this information and the too-fast heart rate; if it is mentioned that a certain drug that may affect the heart rate has been taken, it is also considered that there is a correlation. If the emergency physiological information of the emergency patient shows a too-fast heart rate, but the relevant possible factors are not mentioned in the emergency scene symptom information, it is determined that there is information missing; if the factors mentioned in the symptom information do not match the physiological manifestations of a too-fast heart rate, it is determined that there is information conflict. For the information conflict or missing part, the data processing terminal reminds the medical staff to supplement or correct it by means of marking or prompting, completes the cross-update of the emergency information, and finally generates the cross-checking and update result of the emergency information.

[0116] S25: Based on the cross-checking and update result of the emergency information and combined with the basic information of the patient, conduct preliminary archiving of the emergency patient information to generate a preliminary electronic medical record at the emergency scene.

[0117] In an embodiment of the present invention, after completing the cross-checking and update of the emergency information, the data processing terminal generates a preliminary electronic medical record of the emergency patient based on the update result and combined with the basic information of the patient. This medical record includes the personal information of the patient (name, gender, age, etc.), the physiological data collected during the emergency (such as heart rate, blood pressure, blood oxygen, blood sugar, etc.), and the symptom information obtained by the medical staff through interrogation at the emergency scene (such as mood, drug use situation, injury description, etc.). After the electronic medical record is generated by the data processing terminal, it is immediately stored in the cloud database or the local storage system to ensure that the emergency information can be retrieved at any time and provide a reference for subsequent decision support. At the same time, the data processing terminal will also automatically archive and classify the storage so that the medical staff can analyze and use it during the subsequent decision support process, and finally generate a preliminary electronic medical record at the emergency scene.

[0118] Further, the emergency risk update module during transportation includes the following functions:

[0119] During the process of transporting the patient to the hospital department, continuously monitor the corresponding emergency physiological update information of the patient by starting the intelligent medical devices in the intelligent device-equipped rescue vehicle in real time;

[0120] In the embodiments of the present invention, during the process of transporting a patient to a hospital department, various intelligent medical devices in the intelligent rescue vehicle are activated to monitor the patient's physiological information in real time. The rescue vehicle is equipped with multiple intelligent sensors, such as electrocardiogram (ECG) sensors, blood oxygen saturation (SpO2) monitors, sphygmomanometers and other devices. The physiological parameters of the patient, such as heart rate, blood pressure, body temperature, blood oxygen saturation, etc., are transmitted to the central control system in real time through a wireless data transmission module. The central control system continuously records and updates the patient's physiological state through data acquisition and real-time transmission functions, and at the same time stores all relevant information through a cloud platform to ensure data synchronization and backup. During this process, the medical team views the patient's real-time data through the intelligent monitoring screen in the vehicle, and finally continuously monitors the corresponding emergency physiological update information of the patient.

[0121] Preferably, an emergency condition risk change analysis is performed on the corresponding emergency physiological update information of the patient to obtain the corresponding emergency physiological condition risk change of the patient, including the sudden change of the patient's emergency heart rate and the fluctuation change of the emergency blood pressure.

[0122] In the embodiments of the present invention, the real-time collected emergency physiological information of the patient is processed by an analysis module in the system background, and the intelligent algorithm automatically detects abnormal fluctuations in indicators such as the patient's heart rate, blood pressure, body temperature, etc. When the system detects a large fluctuation amplitude of the heart rate, or a sharp increase or decrease in blood pressure, it is automatically recognized as a high-risk change in the emergency condition. The system generates a condition change trend chart and a warning message by integrating the patient's historical health records and real-time physiological data through a built-in risk assessment algorithm. For example, if the heart rate suddenly rises to 120 beats per minute and is accompanied by low blood pressure, the system will automatically mark it as "risk of acute cardiovascular events" and warn the medical staff through voice prompts and screen displays, reminding them to observe and intervene further. The analysis results not only monitor the independent changes of the heart rate and blood pressure, but also perform multi-dimensional analysis of them with other relevant physiological indicators, providing quick judgments for the medical staff, and finally obtaining the corresponding emergency physiological condition risk change of the patient.

[0123] Preferably, the medical staff adjusts the emergency measures according to the corresponding emergency physiological condition risk change of the patient, and supplements the emergency record of medication adjustment and disposal operation information to generate the emergency condition risk doctor-patient synchronous update information.

[0124] In the embodiments of the present invention, based on the information on the change of the emergency physiological condition risk corresponding to the patient, medical staff make timely emergency response adjustments according to the real-time data provided by the system. Specifically, assuming that the system monitors a sudden change in the patient's heart rate accompanied by fluctuations in blood pressure, the medical staff can adjust the patient's medication according to the system's suggestions, such as increasing the fast-acting antihypertensive drug or accelerating intravenous fluid replacement. At this time, the doctor directly issues a medication instruction through the intelligent operating table in the vehicle and the drug management system. The system will synchronously record key parameters such as the type of drug, dosage, and administration time, and automatically fill in the emergency record. The nursing staff can also supplement relevant operation information in the emergency record based on the physiological changes, such as adjusting the parameters of the ventilator, changing the body position, etc. The operations in the whole process are recorded in real time to ensure the synchronous update of information between doctors and patients, generate an accurate emergency condition risk management record, and finally generate the emergency condition risk doctor-patient synchronous update information.

[0125] Preferably, based on the emergency condition risk doctor-patient synchronous update information, the initial electronic medical record at the emergency site is processed for emergency risk update to generate an updated electronic medical record of the emergency patient.

[0126] In the embodiments of the present invention, after the condition is adjusted, the patient's emergency condition risk information is synchronized to the patient's electronic medical record to complete the emergency risk update. The system will regard each condition change, treatment measure, drug adjustment, and treatment plan as an independent medical record. Specifically, the operation process of the update record includes the system integrating the adjustment operation information of the medical staff (such as: drug name, dosage, administration time, etc.) with the patient's real-time physiological data (such as heart rate, blood pressure, blood oxygen), generating the emergency update part in the electronic medical record. All information is encrypted to ensure the security and privacy protection of the medical record. In this process, the system not only updates the patient's electronic medical record, but also generates a detailed updated record of the emergency patient, and automatically synchronizes it to the hospital information system through the cloud platform for further decision-making analysis by subsequent medical staff. In addition, the medical record also includes the manual records of the medical staff, such as the description of the treatment measures and the condition changes, and finally generates an updated electronic medical record of the emergency patient.

[0127] Further, the analysis of the emergency condition risk change for the emergency physiological update information corresponding to the patient includes:

[0128] Drawing a change trend graph of the heart rate and blood pressure changes in the emergency physiological update information corresponding to the patient to generate a heart rate change graph and a blood pressure change graph corresponding to the patient;

[0129] In the embodiments of the present invention, by extracting the heart rate and blood pressure data of the patient from the emergency records, which are usually collected in real time by medical monitoring devices. For the heart rate and blood pressure data, data visualization tools (such as Matplotlib, Plotly, etc.) can be used to plot the heart rate and blood pressure data into a trend chart. The heart rate data should be marked on the time axis, and the unit is usually the number of beats per minute (bpm). The blood pressure data needs to be plotted as the change curves of systolic blood pressure and diastolic blood pressure respectively. Through these tools, the change trajectories of the heart rate and blood pressure of the patient during the emergency treatment process can be accurately displayed. The horizontal axis of the chart represents time, and the vertical axis represents the heart rate or blood pressure value respectively, so as to intuitively show the change trend of the patient's physiological state, and finally generate the corresponding heart rate change chart and blood pressure change chart of the patient.

[0130] Preferably, by analyzing the change amplitude and phase of the corresponding heart rate change chart of the patient on the time axis, the corresponding heart rate change amplitude and heart rate change phase of the patient are obtained;

[0131] In the embodiments of the present invention, by analyzing the previously generated heart rate change chart, first, the amplitude analysis of the heart rate change is carried out. The amplitude analysis needs to calculate the difference between the maximum value and the minimum value of the heart rate in each time period to identify whether there is a drastic fluctuation in the heart rate. Through numerical calculation or signal processing methods (such as Fourier transform or wavelet transform), the phase analysis of the heart rate fluctuation can be further carried out to analyze the periodicity and change law of the heart rate fluctuation. The purpose of the phase analysis is to determine the change state of the heart rate in different time periods and identify the regularity of the heart rate fluctuation. This analysis will help to identify whether there is an abnormal fluctuation, and thus provide a basis for the subsequent identification of the heart rate sudden change interval, and finally obtain the corresponding heart rate change amplitude and heart rate change phase of the patient.

[0132] Preferably, based on the corresponding heart rate change amplitude and heart rate change phase of the patient, the heart rate sudden change interval identification analysis is carried out on the corresponding heart rate change chart, and the corresponding first aid heart rate sudden change of the patient is obtained;

[0133] In the embodiments of the present invention, through further abnormal analysis of the heart rate change chart, the time interval of the heart rate sudden change is identified. Based on the previously analyzed heart rate change amplitude and phase analysis results, combined with the real-time monitoring data, by applying mutation detection algorithms (such as threshold-based change detection or outlier identification methods based on statistical distribution), the sudden change moment of the heart rate can be accurately determined. Specifically, when the change amplitude of the heart rate exceeds the set critical value and there is an obvious change in the change phase, it can be marked as the time period of the heart rate sudden change. This analysis step not only depends on the data processing algorithm, but also combines machine learning models. By training a large amount of clinical data, the detection accuracy of the heart rate sudden change is optimized, and finally the corresponding first aid heart rate sudden change of the patient is obtained.

[0134] Preferably, the blood pressure fluctuation change of the patient is identified from the blood pressure change map corresponding to the patient to obtain the emergency blood pressure fluctuation change corresponding to the patient.

[0135] In the embodiment of the present invention, by identifying potential emergency blood pressure fluctuation changes from the blood pressure change map, based on the previously generated blood pressure change map, first, the blood pressure data is smoothed to reduce the interference of noise. Then, the fluctuation degree of the blood pressure is evaluated through volatility analysis (such as standard deviation calculation or root mean square error analysis). If the blood pressure fluctuates greatly within a short period of time and there is no obvious regular fluctuation, the system can automatically identify it as an emergency blood pressure fluctuation change. To improve the accuracy of identification, the historical data of the blood pressure is also combined, and through methods such as time series analysis, it is evaluated whether the current change trend of the blood pressure meets the conditions for emergency intervention, and finally the emergency blood pressure fluctuation change corresponding to the patient is obtained.

[0136] Furthermore, the department emergency task end filing module includes the following functions:

[0137] Obtain the time and location corresponding to the current emergency of the emergency vehicle.

[0138] In the embodiment of the present invention, by obtaining the current positioning data of the emergency vehicle from the in-vehicle GPS module and docking it with the task time data in the emergency task scheduling system, the system will synchronize the current position of the emergency vehicle and the time corresponding to the emergency task to the platform through the connected wireless communication network. During the operation, first, the system needs to verify the accuracy of the real-time positioning data of the in-vehicle GPS module and mark the time in the emergency task scheduling system, record the specific departure time and arrival location of each rescue task. The location data will be cross-validated through multiple sensors, such as vehicle position sensors, acceleration sensors, and environmental monitoring devices, to ensure accuracy. After this process is completed, the emergency time and location data of the emergency vehicle will be uploaded to the cloud server to generate a digital record of the time and location information, and finally the time and location corresponding to the current emergency of the emergency vehicle are obtained.

[0139] Preferably, obtain the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department, and perform emergency filing template mining analysis on the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department according to the preset filing rules corresponding to the hospital department, so as to generate an electronic medical record structured template corresponding to the current emergency task.

[0140] In the embodiments of the present invention, it is docked with the electronic health record (EHR) platform of the hospital through an interface to obtain the emergency diagnosis and treatment priorities and data collection requirements of each department in the hospital. These data include the key physiological indicators, condition assessment indicators, and clinical data necessary for the emergency department that need to be concerned by each department during the first aid process. According to the diagnosis and treatment requirements provided by the department, the system combines the nature of the emergency tasks of the ambulance, and automatically analyzes and generates a structured template for the electronic medical record related to the current first aid task through a rule engine. This template will automatically screen out the necessary fields for annotation and classification according to the collected emergency data requirements, such as the patient's vital signs (such as heart rate, respiratory rate, blood oxygen saturation, etc.), and the emergency information that needs to be recorded during the doctor's diagnosis process. The preset archiving rules will be further analyzed through data mining algorithms according to the hospital's specifications and standardized processes to generate a personalized template that meets the requirements of this task. Each field in the template will be associated with patient information, first aid diagnosis and treatment records, diagnosis process, decision-making plans, etc., to ensure that the generated structured template covers all key diagnosis and treatment data and can completely reflect various emergency treatments and decision-making information involved in the first aid process, and finally generate a structured template for the electronic medical record corresponding to the current emergency task.

[0141] Preferably, based on the structured template for the electronic medical record corresponding to the current emergency task and combined with the time and location corresponding to the current first aid of the ambulance, the emergency patient's updated electronic medical record is automatically archived for emergency recording to generate the archived electronic medical record of the patient for the current emergency task.

[0142] In the embodiments of the present invention, through the previously generated structured template for the electronic medical record, it will be combined with the patient information updated in real time by the ambulance for automatic archiving of emergency records. Specifically, the system will dock with the equipment of the ambulance to receive and parse in real time the patient's vital sign data, intervention measures during the first aid process, drug usage information, etc. during the first aid process. According to the field requirements in the template, the data will be filled into the electronic medical record in real time. These data include the patient's basic information, first aid time point, first aid location, the patient's emergency treatment record, medical equipment usage data, drug treatment record, etc. The system will ensure the accurate recording and timely archiving of each piece of data through an automatic data collection module. During this process, the system will automatically judge whether the first aid process of the patient meets the archiving requirements according to the positioning information of the ambulance. If it meets the requirements, the archiving operation will be triggered. Once the data is entered, the system will encrypt each record to ensure the security of the patient's privacy data, and upload the archived content to the hospital's electronic medical record management platform. For the electronic medical record of each first aid task, the system will automatically mark the time stamp and geographical location label to ensure the timeliness and location accuracy of all information, and automatically synchronize it to the cloud for centralized storage. The generated electronic medical record contains all the emergency process records from the ambulance to the hospital, and finally archives and generates the archived electronic medical record of the patient for the current emergency task.

[0143] Further, the automatic archiving of the emergency record of updating the electronic medical record for the emergency patient based on the structured template of the electronic medical record corresponding to the current emergency task and combining the time and location corresponding to the current first aid of the emergency vehicle includes:

[0144] Performing a structured version conversion on the updated electronic medical record of the emergency patient based on the structured template of the electronic medical record corresponding to the current emergency task to generate a structured electronic medical record of the patient for the current emergency task;

[0145] In the embodiment of the present invention, during the current emergency task, first, according to the structured template of the electronic medical record for this task, the electronic medical record information of the patient is subjected to a structured version conversion. By collecting the patient's basic information (such as name, gender, age, etc.), medical history records, emergency vehicle diagnosis information, and first aid process, etc., using the electronic medical record conversion tool of the medical information system, and performing structured coding according to the pre-set standardized fields, these fields include but are not limited to the patient's symptoms, signs, first aid results, treatment plans, etc. During the conversion process, a predefined medical record template is used to convert unstructured information such as text descriptions and handwritten doctor records into standardized fields, ensuring that the data format is unified, queryable, and meets the specification requirements, generating a structured electronic medical record of the patient that meets the requirements of the current first aid task, and finally generating a structured electronic medical record of the patient for the current emergency task.

[0146] Preferably, perform disease type mining and analysis on the structured electronic medical record of the patient for the current emergency task to obtain the disease types of the patients for the current emergency task;

[0147] In the embodiment of the present invention, after the generation of the structured version of the patient's electronic medical record is completed, next, disease type mining and analysis are performed on this structured electronic medical record. This step uses natural language processing (NLP) technology and combines machine learning models for data mining. First, the system performs semantic analysis on the emergency diagnosis information, symptom descriptions, etc. included in the medical record, extracts potential disease types. In actual operation, based on the clinical common disease and symptom library, the corresponding disease classification criteria (such as ICD-10 or ICD-9) are matched to automatically judge the disease types, and specific disease categories can be extracted from the structured data. If there are multiple disease types in the medical record, they are sorted according to the occurrence frequency and relevance, and finally the disease types of the patients for the current emergency task are obtained.

[0148] Preferably, based on the disease types of the patients for the current emergency task and combining the time and location corresponding to the current first aid of the emergency vehicle, perform an archive classification hierarchy division to generate a date-region-disease type archive classification hierarchy path corresponding to the current emergency task;

[0149] In an embodiment of the present invention, after obtaining the disease type of a patient, the system performs an archive classification hierarchy division based on the emergency task time and location of the emergency vehicle. First, the system needs to obtain the basic information of the emergency vehicle task, including the specific time when the task occurred (such as date, hour, etc.) and the treatment location (such as hospital, ambulance station, scene, etc.). By combining the disease type of the patient, the system will perform archive classification according to the following hierarchy: The first level is the date, that is, the specific date when the task occurred; the second level is the region, that is, the geographical region where the task is implemented (such as city, county, etc.); the third level is the disease type, that is, the disease type of the patient. Through this division of the structured path, the system can classify and store the emergency records of the patient according to the specific situation of the patient, ensure the whole-process recording of the task and data traceability, and finally generate the date-region-disease type archive classification hierarchy path corresponding to the current emergency task.

[0150] Preferably, based on the date-region-disease type archive classification hierarchy path corresponding to the current emergency task, the structured electronic medical record of the patient in the current emergency task is automatically archived for emergency recording, and the archived electronic medical record of the patient in the current emergency task is generated.

[0151] In an embodiment of the present invention, through the automatic archiving of the emergency records of the structured electronic medical record of the patient in the current emergency task corresponding to the above-mentioned archive classification hierarchy path of date, region, and disease type, this step is implemented through an automated archiving system. The system will automatically archive all the electronic medical record records of the emergency task patients according to the structured electronic medical record data of the patients and the archive classification path. The archiving process is based on a preset file storage standard, and all relevant documents, diagnostic records, emergency processes, drug usage situations, etc. are classified and stored in the database of the corresponding medical information system of the hospital department. When performing this operation, the system encrypts and protects different types of records through an archiving strategy to ensure the security and privacy of the data. After the automatic archiving is completed, the generated archived electronic medical record of the patient can be queried and subsequently managed through a specified path to ensure the long-term storage and traceability of the patient's emergency task data, and finally the archived electronic medical record of the patient in the current emergency task is generated.

[0152] Therefore, from any perspective, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the application document are intended to be included in the present invention.

[0153] The above are only specific embodiments of the present invention, enabling those skilled in the art to understand or implement the present invention. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features invented herein.

Claims

1. An intelligent emergency rescue vehicle recording and archiving system, characterized in that, It includes the following modules: The pre - emergency self - inspection module of the emergency rescue vehicle is used to obtain the communication power corresponding to various intelligent medical devices in the intelligent emergency rescue vehicle and the remaining data storage capacity of the data processing terminal, and perform pre - emergency self - inspection processing on the intelligent emergency rescue vehicle based on the communication power corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal to generate a rescue vehicle with complete intelligent devices; among them, the pre - emergency self - inspection module of the rescue vehicle includes the following functions: Obtain the communication power corresponding to various intelligent medical devices in the intelligent emergency rescue vehicle; Obtain the power connection nodes and power supply line routes corresponding to various intelligent medical devices in the intelligent emergency rescue vehicle, and conduct power - dependence mining analysis among various intelligent medical devices based on the power connection nodes and power supply line routes corresponding to various intelligent medical devices to generate the power - dependence relationship among various intelligent medical devices; Conduct power - attenuation impact analysis on the communication power corresponding to various intelligent medical devices based on the power - dependence relationship among various intelligent medical devices, so as to determine the attenuation values corresponding to the communication power among various intelligent medical devices according to the power - dependence relationship, and calculate the corresponding attenuation impact factors through ratio calculation to obtain the power - attenuation impact factors corresponding to various intelligent medical devices; Obtain the remaining data storage capacity of the data processing terminal in the intelligent emergency rescue vehicle, and perform pre - emergency self - inspection processing on the intelligent emergency rescue vehicle based on the communication power and power - attenuation impact factors corresponding to various intelligent medical devices and the remaining data storage capacity of the data processing terminal to generate a rescue vehicle with complete intelligent devices; among them, the pre - emergency self - inspection processing includes: Obtain the generation rate and data - type proportion corresponding to various physiological data in past emergency rescue cases of rescue vehicles; Conduct data - storage cumulative analysis according to the generation rate and data - type proportion corresponding to various physiological data in past emergency rescue cases of rescue vehicles to obtain the physiological - data storage cumulative amount; Evaluate the storage cumulative pressure on the remaining data storage capacity of the data processing terminal based on the physiological - data storage cumulative amount to obtain the terminal storage cumulative pressure loss; Quantify the equipment warning of the intelligent emergency rescue vehicle based on the communication power and power - attenuation impact factors corresponding to various intelligent medical devices and the terminal storage cumulative pressure loss using the intelligent - device warning calculation formula to obtain the intelligent - rescue - vehicle equipment warning value; among them, the intelligent - device warning calculation formula is specifically: Wherein, P is the warning value of the intelligent rescue vehicle equipment, t is the time variable parameter, N is the total number of intelligent medical devices in the intelligent rescue vehicle, including a portable electrocardiograph, a blood oxygen meter, and an intelligent sphygmomanometer, and E i (t) is the communication power corresponding to the i-th intelligent medical device at time t, and λ i is the power attenuation influence factor corresponding to the i-th intelligent medical device, and ε is the cumulative pressure loss of the terminal storage; Conduct pre - emergency self - inspection processing on various intelligent medical devices and the data processing terminal in the intelligent emergency rescue vehicle based on the intelligent - rescue - vehicle equipment warning value to generate a rescue vehicle with complete intelligent devices; The emergency scene verification and archiving module is used to start the intelligent medical devices in the rescue vehicle through the intelligent device when at the first aid scene, and real-time monitor the emergency physiological information of the first aid patient and automatically transmit it to the data processing terminal; through the medical staff's synchronous inquiry, input the patient's basic information and the first aid scene symptom information into the data processing terminal in the form of voice input, and use the data processing terminal to conduct emergency verification and preliminary archiving of the emergency physiological information of the first aid patient, the patient's basic information and the first aid scene symptom information, so as to generate a preliminary electronic medical record of the emergency scene; The emergency risk update module during transportation is used to start the intelligent medical devices in the rescue vehicle through the intelligent device in real time when transporting the patient to the hospital department, continuously monitor the corresponding emergency physiological update information of the patient, and perform emergency risk update processing on the preliminary electronic medical record of the emergency scene based on the emergency physiological update information, so as to generate an updated record electronic medical record of the emergency patient; The department emergency task end archiving module is used to obtain the time and location corresponding to the current first aid of the rescue vehicle, and automatically archive the updated record electronic medical record of the emergency patient according to the preset archiving rules corresponding to the hospital department based on the time and location corresponding to the current first aid of the rescue vehicle, and generate the patient archiving electronic medical record of the current emergency task.

2. The intelligent emergency rescue vehicle emergency record archiving system according to claim 1, characterized in that, The emergency scene verification and archiving module includes the following functions: Start the intelligent medical devices in the rescue vehicle through the intelligent device when at the first aid scene, and real-time monitor the corresponding physiological information of the first aid patient to obtain the emergency physiological information of the first aid patient; Connect to the corresponding data processing terminal in the rescue vehicle with the intelligent device through the wireless communication protocol and automatically transmit the emergency physiological information of the first aid patient to the data processing terminal; Through the medical staff's synchronous inquiry, input the patient's basic information and the first aid scene symptom information into the data processing terminal in the form of voice input; Use the data processing terminal to conduct emergency cross-verification between the emergency physiological information of the first aid patient and the first aid scene symptom information. If the emergency physiological information of the first aid patient shows a too fast heart rate, compare it with the emotional excitement or drug-taking history mentioned in the inquiry in the first aid scene symptom information, judge whether there is information cross-correlation, and identify the information conflict or missing part to execute emergency information cross-update, and generate an emergency information cross-verification update result; According to the emergency information cross-verification update result and combined with the patient's basic information, conduct preliminary archiving of the emergency patient information to generate a preliminary electronic medical record of the emergency scene.

3. The intelligent rescue vehicle emergency record filing system according to claim 2, wherein, The emergency physiological information of the first aid patient includes the corresponding heart rate, blood pressure, blood oxygen and blood sugar changes of the first aid patient.

4. The intelligent rescue vehicle emergency record filing system according to claim 1, wherein The emergency risk update module during transportation includes the following functions: Start the intelligent medical devices in the rescue vehicle through the intelligent device in real time when transporting the patient to the hospital department, and continuously monitor the corresponding emergency physiological update information of the patient; Conduct an emergency condition risk change analysis on the corresponding emergency physiological update information of the patient to obtain the corresponding emergency physiological condition risk change of the patient, including the sudden change of the first aid heart rate and the fluctuation change of the first aid blood pressure of the patient; Medical staff adjust emergency measures according to the changes in the emergency physiological condition risks corresponding to the patients, and supplement the emergency record with medication adjustments and treatment operation information to generate emergency condition risk doctor-patient synchronous update information; Based on the emergency condition risk doctor-patient synchronous update information, perform emergency risk update processing on the preliminary electronic medical record at the emergency scene to generate an updated electronic medical record of the emergency patient.

5. The intelligent rescue vehicle emergency record filing system according to claim 4, wherein The analysis of the changes in the emergency condition risks for the corresponding emergency physiological update information of the patient includes: Draw change trend graphs for the heart rate and blood pressure changes in the corresponding emergency physiological update information of the patient to generate a heart rate change graph and a blood pressure change graph corresponding to the patient; By analyzing the change amplitude and phase of the heart rate change graph corresponding to the patient on the time axis, obtain the heart rate change amplitude and the heart rate change phase corresponding to the patient; Based on the heart rate change amplitude and the heart rate change phase corresponding to the patient, perform heart rate sudden change interval identification and analysis on the corresponding heart rate change graph to obtain the emergency heart rate sudden change corresponding to the patient; Identify the blood pressure fluctuation changes in the blood pressure change graph corresponding to the patient to obtain the emergency blood pressure fluctuation changes corresponding to the patient.

6. The intelligent emergency rescue vehicle emergency record filing system according to claim 1, characterized in that The department emergency task end filing module includes the following functions: Obtain the time and location corresponding to the current emergency of the emergency cart; Obtain the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department, and perform emergency filing template mining and analysis on the emergency diagnosis and treatment key points and data collection requirements corresponding to the hospital department according to the preset filing rules corresponding to the hospital department to generate an electronic medical record structured template for the current emergency task; Based on the electronic medical record structured template for the current emergency task and combined with the time and location corresponding to the current emergency of the emergency cart, perform automatic emergency record filing on the updated electronic medical record of the emergency patient to generate the patient filing electronic medical record for the current emergency task.

7. The intelligent rescue vehicle emergency record filing system according to claim 6, characterized in that, The performing automatic emergency record filing on the updated electronic medical record of the emergency patient based on the electronic medical record structured template for the current emergency task and combined with the time and location corresponding to the current emergency of the emergency cart includes: Perform structured version conversion on the updated electronic medical record of the emergency patient based on the electronic medical record structured template for the current emergency task to generate the structured electronic medical record of the patient for the current emergency task; Perform disease type mining and analysis on the structured electronic medical record of the patient for the current emergency task to obtain the disease types of the patients for the current emergency task; Based on the disease types of the patients for the current emergency task and combined with the time and location corresponding to the current emergency of the emergency cart, perform filing classification hierarchy division to generate the date-region-disease type filing classification hierarchy path for the current emergency task; Based on the date-region-disease type filing classification hierarchy path for the current emergency task, perform automatic emergency record filing on the structured electronic medical record of the patient for the current emergency task to generate the patient filing electronic medical record for the current emergency task.

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