Small emergency first-aid machine with remote video consultation function

Abstract

The invention relates to the technical field of communication, in particular to a small emergency first-aid machine with a remote video consultation function. The road surface detection unit monitors road surface conditions in real time based on a road surface detection sensor module and is used for ensuring that a patient obtains emergency rescue in the shortest time; the information acquisition unit records and manages personal information and symptom description of a patient based on the information management module; the vital sign monitoring unit is used for monitoring and analyzing vital signs of a patient by applying an anomaly detection algorithm through a portable vital sign monitoring module on the basis of the data acquired by the information acquisition unit; the video consultation unit establishes video connection with a remote doctor through a remote video module based on an analysis result of the physical sign monitoring unit, and consults the patient; and the response scheduling unit performs first-aid treatment on the patient based on the consultation result of the video consultation unit, and plans subsequent medical treatment. Professional guidance of remote doctors is obtained through video consultation, and the first-aid quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, in particular to a small emergency first aid machine with a remote video consultation function. Background Art

[0002] A small emergency first aid machine with remote video consultation function is an innovative medical device that integrates advanced robotics, communication technology, multimedia processing, artificial intelligence (AI), Internet of Things (IoT), cloud computing and medical expertise. The machine is compact and portable, and can be quickly deployed to the scene in an emergency to provide immediate medical assistance to the injured or sick. It is equipped with a high-definition camera and microphone, and through a high-speed and stable 5G network or other advanced wireless communication technology, it can achieve real-time video connection with remote experts, allowing doctors to remotely view the patient's condition and guide on-site rescuers to perform initial treatment. Built-in sensors can monitor the patient's vital signs, such as heart rate, blood pressure, blood oxygen saturation, etc., and transmit the data to the medical team in real time to help them make a more accurate diagnosis. Using AI algorithms, the machine can also analyze the collected data, identify potential health risks, and assist the decision-making process. In addition, it may integrate virtual reality (VR) or augmented reality (AR) technology to provide more intuitive visual assistance, or access the latest medical research and clinical guidelines through a cloud computing platform to ensure that the medical services provided are the latest and most appropriate. The power management system ensures long-term operation without an external power supply, which is suitable for various complex emergency scenarios. All in all, this small emergency first aid machine is a multifunctional mobile medical station designed to improve the efficiency and quality of emergency medical services, shorten response time, and save more lives.

[0003] In an existing small emergency first aid machine with remote video consultation function, in remote areas or when natural disasters occur, or when there is a delay caused by poor traffic conditions, the signal is unstable or completely interrupted, affecting the emergency rescue of remote video consultation. Although the performance of hardware devices such as high-definition cameras and sensors continues to improve, the quality of images and sounds may be reduced in complex environments, thereby affecting the doctor's accurate judgment of the patient's condition. Therefore, a small emergency first aid machine with remote video consultation function is designed. Summary of the invention

[0004] The purpose of the present invention is to provide a small emergency first aid machine with remote video consultation function, so as to solve the problem raised in the above background technology that in an existing small emergency first aid machine with remote video consultation function, when in remote areas or natural disasters occur, or when there is a delay caused by poor traffic conditions, the signal is unstable or completely interrupted, affecting the emergency rescue of remote video consultation. Although the performance of hardware equipment such as high-definition cameras and sensors is constantly improving, the quality of images and sounds may be reduced in complex environments, thereby affecting the doctor's accurate judgment of the patient's condition.

[0005] To achieve the above object, the present invention aims to provide a small emergency first aid machine with a remote video consultation function, including a road surface detection unit, which monitors the road surface conditions in real time based on a road surface detection sensor module to ensure that the patient receives emergency rescue in the shortest time;

[0006] An information collection unit, which enters and manages the patient's personal information and symptom description based on the information management module;

[0007] A vital sign monitoring unit, which monitors and analyzes the patient's vital signs by applying an abnormality detection algorithm through a portable vital sign monitoring module based on the data collected by the information collection unit;

[0008] A video consultation unit, which establishes a video connection with a remote doctor through a remote video module based on the analysis result of the vital sign monitoring unit to consult with the patient;

[0009] A response scheduling unit performs emergency treatment on the patient and plans subsequent medical treatment based on the consultation result of the video consultation unit.

[0010] As a further improvement of the present technical solution, the road surface detection unit includes a road surface detection sensor module, which is used to sense road conditions in real time, help emergency first aid machines avoid obstacles and optimize driving paths, and ensure that patients receive emergency care in the shortest time.

[0011] As a further improvement of the present technical solution, the information acquisition unit includes an information management module, and the information management module includes a data acquisition module and a data storage module;

[0012] The data acquisition module is used to collect patient personal information in real time and preliminarily process patient information and vital signs data;

[0013] The data storage module is used to store the collected data and ensure efficient retrieval and long-term preservation of the data.

[0014] As a further improvement of the technical solution, the specific steps involved in monitoring and analyzing the patient's vital signs by applying an abnormality detection algorithm through a portable vital signs monitoring module are:

[0015] S4.1. Collect and display the patient's vital signs data in real time through a portable vital signs monitoring module;

[0016] S4.2. After uploading the vital sign data, the data is analyzed through anomaly detection algorithm;

[0017] S4.3. The system issues an alarm based on the preset threshold.

[0018] As a further improvement of the technical solution, in S4.2, the specific steps involved in performing data analysis through anomaly detection algorithm after uploading the vital sign data are:

[0019] S4.21. transmitting the vital sign data collected by the portable vital sign monitoring module to a database;

[0020] S4.22, preprocessing the received vital sign data;

[0021] S4.23. Based on historical data and medical standards, a baseline model is established for each vital sign data using the isolation forest algorithm;

[0022] S4.24. Apply anomaly detection algorithms to identify data points that are outside the range of the baseline model.

[0023] As a further improvement of the technical solution, in S4.23, the steps involved in establishing a baseline model for each vital sign data by using the isolation forest algorithm according to historical data and medical standards are:

[0024] Compute the average path length:

[0025] For each data point x i , the path length in the tth isolation tree is h t (x i );

[0026] Calculate the data point x i The average path length E(h(x i ));

[0027]

[0028] Where T represents the number of isolation trees; t represents the number of isolation trees; i represents the index variable;

[0029] Standardized Scoring:

[0030] c(n)=2H(n-1)-(2(n-1) / n);

[0031] Where n represents the number of samples; H(*) represents the harmonic number; c(n) represents the standardized score;

[0032] Abnormality score:

[0033]

[0034] Among them, S(x i ,n) represents the abnormality score;

[0035] The abnormality score is combined with the medical criteria to define a composite score:

[0036]

[0037] Among them, C(x i ,j) represents the comprehensive score; j represents the index of vital signs; x i,j Represents data point x i The jth vital sign value of j represents the lower limit of the medical definition of the jth vital sign; U j represents the medically defined upper bound for the jth vital sign.

[0038] As a further improvement of the present technical solution, in S4.24, the expression involved in applying the anomaly detection algorithm to identify data points that exceed the range of the baseline model is:

[0039]

[0040] Among them, Anomalies represents the set of abnormal points; X new Represents a new dataset; represents the maximum comprehensive score; θ represents the threshold for anomaly detection.

[0041] As a further improvement of the technical solution, the specific steps involved in establishing a video connection with a remote doctor through a remote video module and consulting with the patient are:

[0042] S7.1. Determine whether to initiate a remote video consultation based on the results of the vital sign monitoring unit analysis;

[0043] S7.2. Establish a video connection with the remote doctor through the remote video module to ensure network stability and image clarity;

[0044] S7.3. The doctor observes the patient's condition through video and shares the patient's medical records and real-time vital signs data during the video conference;

[0045] S7.4. The doctor makes diagnostic comments and treatment recommendations based on the video consultation.

[0046] As a further improvement of the present technical solution, the remote video module is used to establish a high-definition video connection with a remote doctor at the emergency site, to realize remote consultation and real-time medical guidance, and to transmit high-quality audio and video data through a high-speed network, so that the remote doctor can observe the patient's condition, listen to the patient's voice, and view vital signs monitoring data in real time.

[0047] As a further improvement of the technical solution, the specific steps involved in providing first aid treatment to the patient and planning subsequent medical treatment are:

[0048] S10.1. Immediately call emergency medical services and provide the exact location and condition of the patient;

[0049] S10.2. Adjust emergency measures at any time according to the patient's condition;

[0050] S10.3. During the transport process, continuously monitor the patient's vital signs and record any changes;

[0051] S10.4. Develop a rehabilitation plan after the patient's condition stabilizes.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. This small emergency first aid machine with remote video consultation function monitors road conditions in real time, optimizes the driving path, avoids obstacles and uneven roads, reduces transportation time, and ensures that patients receive emergency care in the shortest time. Doctors can access this information through the remote video consultation unit, prepare in advance, and improve consultation efficiency. Continuously monitor the patient's body temperature, heart rate, blood pressure, blood oxygen saturation and other key vital signs, detect abnormal conditions in time, and guide first aid measures. The portable design allows the monitoring module to be used in any scenario, making it convenient for first aid personnel to keep track of the patient's status at any time on site or during transportation.

[0054] 2. This small emergency first aid machine with remote video consultation function can obtain professional guidance from remote doctors through video consultation to improve the quality of first aid. During the video consultation, the patient's medical records, vital signs data and imaging data can be shared in real time to help doctors fully understand the condition and make accurate judgments. According to the patient's real-time condition, the first aid measures and subsequent treatment plans can be flexibly adjusted to ensure the continuity and efficiency of the treatment process. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is the overall flow chart of the present invention;

[0056] The meaning of each number in the figure is:

[0057] 1. Road surface detection unit; 11. Road surface detection sensor module; 2. Information acquisition unit; 21. Information management module; 211. Data acquisition module; 212. Data storage module; 3. Vital sign monitoring unit; 31. Portable vital sign monitoring module; 4. Video consultation unit; 41. Remote video module; 5. Response dispatch unit. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0059] Example

[0060] See also Figure 1 As shown, a small emergency first aid machine with a remote video consultation function is provided, including a road surface detection unit 1, wherein the road surface detection unit 1 monitors the road surface conditions in real time based on a road surface detection sensor module 11, so as to ensure that the patient receives emergency rescue in the shortest time;

[0061] In this example, the road surface detection unit 1 includes a road surface detection sensor module 11, which is used to sense road conditions in real time, help emergency rescue machines avoid obstacles and optimize driving paths, and ensure that patients receive emergency care in the shortest time.

[0062] Specifically, the road detection sensor module 11 is used to sense the road conditions in real time, helping the small emergency first aid machine to avoid obstacles and optimize the driving path, ensuring that the machine can reach the patient's location smoothly and quickly, thereby providing emergency care to the patient in the shortest time. Through accurate road condition monitoring and intelligent path planning, the unit significantly improves the speed and safety of emergency response, especially on complex or uneven roads, ensuring that patients can receive timely medical assistance within the golden rescue time.

[0063] The small emergency first aid machine with remote video consultation function also includes an information collection unit 2, which enters and manages the patient's personal information and symptom description based on the information management module 21;

[0064] In the embodiment, the information acquisition unit 2 includes an information management module 21, and the information management module 21 includes a data acquisition module 211 and a data storage module 212;

[0065] The data collection module 211 is used to collect patient personal information in real time and preliminarily process patient information and vital signs data;

[0066] The data storage module 212 is used to store the collected data and ensure efficient retrieval and long-term storage of the data.

[0067] Specifically, the data acquisition module 211 is responsible for real-time collection and preliminary processing of the patient's personal information and vital signs data, ensuring that emergency personnel can quickly and accurately record the patient's key information; while the data storage module 212 is used to safely store this data and support efficient retrieval and long-term preservation so that it can be quickly called when needed. Through this unit, the small emergency first aid machine can quickly obtain and manage patient information at the first aid site, provide accurate and comprehensive data support for remote video consultations, and help doctors make timely and accurate diagnosis and treatment decisions, thereby improving first aid efficiency and the patient's treatment success rate.

[0068] The small emergency first aid machine with remote video consultation function also includes a vital sign monitoring unit 3, which monitors and analyzes the patient's vital signs based on the data collected by the information collection unit 2 through a portable vital sign monitoring module 31 using an abnormality detection algorithm;

[0069] In the embodiment, the specific steps involved in monitoring and analyzing the patient's vital signs by applying an abnormality detection algorithm through the portable vital sign monitoring module 31 are:

[0070] S4.1. Real-time collection and display of the patient's vital sign data by the portable vital sign monitoring module 31;

[0071] S4.2. After uploading the vital sign data, the data is analyzed through anomaly detection algorithm;

[0072] Specifically, vital signs data include heart rate, blood pressure, respiratory rate, body temperature, blood oxygen saturation (SpO2), etc.

[0073] In this example, the specific steps involved in uploading the vital signs data and analyzing it through the anomaly detection algorithm are:

[0074] S4.21. transmitting the vital sign data collected by the portable vital sign monitoring module to a database;

[0075] S4.22, preprocessing the received vital sign data;

[0076] S4.23. Based on historical data and medical standards, a baseline model is established for each vital sign data using the isolation forest algorithm;

[0077] In this example, the steps involved in establishing a baseline model for each vital sign data using the Isolation Forest algorithm based on historical data and medical standards are:

[0078] Compute the average path length:

[0079] For each data point x i , the path length in the tth isolation tree is h t (x i );

[0080] Calculate the data point x i The average path length E(h(x i ));

[0081]

[0082] Where T represents the number of isolation trees; t represents the number of isolation trees; i represents the index variable;

[0083] Standardized Scoring:

[0084] c(n)=2H(n-1)-(2(n-1) / n);

[0085] Where n represents the number of samples; H(*) represents the harmonic number; c(n) represents the standardized score;

[0086] Abnormality score:

[0087]

[0088] Among them, S(x i ,n) represents the abnormality score;

[0089] The abnormality score is combined with the medical criteria to define a composite score:

[0090]

[0091] Among them, C(x i ,j) represents the comprehensive score; j represents the index of vital signs; x i,j Represents data point x i The jth vital sign value of j represents the lower limit of the medical definition of the jth vital sign; U j represents the medically defined upper bound for the jth vital sign.

[0092] Specifically, through this process, the vital signs monitoring unit can not only monitor the patient's vital signs in real time, but also accurately identify abnormal conditions based on historical data and medical standards, issue alarms in a timely manner, and provide detailed analysis results. This provides scientific and reliable data support for remote video consultations, helping doctors make more accurate diagnosis and treatment decisions, and significantly improving emergency treatment efficiency and patient treatment success rates.

[0093] S4.24. Apply anomaly detection algorithms to identify data points that are outside the range of the baseline model.

[0094] In this example, the expression involved in applying the anomaly detection algorithm to identify data points that are outside the range of the baseline model is:

[0095]

[0096] Among them, Anomalies represents the set of abnormal points; X new Represents a new dataset; represents the maximum comprehensive score; θ represents the threshold for anomaly detection.

[0097] Specifically, the examples are:

[0098]

[0099]

[0100] First, the collected vital signs data is transferred to the database to ensure the safe storage and subsequent processing of the data; then, the received data is preprocessed to remove noise and outliers to ensure the accuracy and consistency of the data; then, based on historical data and medical standards, the isolation forest algorithm is used to establish a baseline model for each vital sign to define the normal range; finally, the anomaly detection algorithm is applied to identify data points that exceed the range of the baseline model, and potential critical situations are discovered in time and alarms are issued. This process not only ensures real-time monitoring and accurate analysis of patients' vital signs, but also provides reliable data support for remote video consultations, helping doctors make timely and accurate diagnosis and treatment decisions, significantly improving the efficiency of emergency treatment and the success rate of patient treatment.

[0101] S4.3. The system issues an alarm based on the preset threshold.

[0102] Specifically, the patient's vital signs data, such as heart rate, blood pressure, blood oxygen saturation, etc., are collected and displayed in real time through the portable vital signs monitoring module 31, and these data are uploaded to the system for abnormal detection algorithm analysis. Once the monitored vital signs exceed the preset normal threshold, the system will immediately issue an alarm to alert emergency personnel and remote doctors to potential critical situations. This process ensures that the patient's vital signs are continuously and accurately monitored, helps the emergency team to detect and deal with abnormal conditions in a timely manner, and provides reliable data support for remote video consultations, thereby improving emergency efficiency and the success rate of patient treatment.

[0103] The small emergency first aid machine with remote video consultation function also includes a video consultation unit 4, which establishes a video connection with a remote doctor through a remote video module 41 based on the analysis result of the vital sign monitoring unit 3 to consult with the patient;

[0104] In the embodiment, the specific steps involved in establishing a video connection with a remote doctor through the remote video module 41 and consulting with the patient are:

[0105] S7.1. Determine whether to initiate a remote video consultation based on the analysis results of the vital sign monitoring unit 3;

[0106] S7.2. Establishing a video connection with a remote doctor through the remote video module 41 to ensure network stability and image clarity;

[0107] In this example, the remote video module 41 is used to establish a high-definition video connection with a remote doctor at the emergency site, realize remote consultation and real-time medical guidance, and transmit high-quality audio and video data through a high-speed network, so that the remote doctor can observe the patient's condition, listen to the patient's voice, and view vital signs monitoring data in real time.

[0108] Specifically, the module transmits high-quality audio and video data, enabling remote doctors to clearly observe the patient's condition, hear the patient's voice, and view vital sign monitoring data in real time. This not only provides professional medical support at the emergency scene, ensuring that patients receive accurate diagnosis and treatment advice as soon as possible, but also significantly improves emergency efficiency and treatment success rate, especially in resource-limited or remote areas, greatly expanding the coverage of high-quality medical services.

[0109] S7.3. The doctor observes the patient's condition through video and shares the patient's medical records and real-time vital signs data during the video conference;

[0110] S7.4. The doctor makes diagnostic comments and treatment recommendations based on the video consultation.

[0111] Specifically, through this process, the video consultation unit not only provides patients with timely professional medical support, but also ensures the scientificity and effectiveness of emergency measures, significantly improving the efficiency of emergency treatment and the success rate of patient treatment. This remote collaboration method is particularly suitable for remote areas or situations with limited resources, greatly expanding the coverage of high-quality medical services.

[0112] The small emergency first aid machine with remote video consultation function also includes a response scheduling unit 5. The response scheduling unit 5 performs first aid treatment on the patient based on the consultation result of the video consultation unit 4 and plans subsequent medical treatment.

[0113] In an embodiment, the specific steps involved in providing first aid treatment to a patient and planning subsequent medical treatment are:

[0114] S10.1. Immediately call emergency medical services and provide the exact location and condition of the patient;

[0115] S10.2. Adjust emergency measures at any time according to the patient's condition;

[0116] S10.3. During the transport process, continuously monitor the patient's vital signs and record any changes;

[0117] S10.4. Develop a rehabilitation plan after the patient's condition stabilizes.

[0118] Specifically, through this series of steps, the response dispatch unit not only ensures the safety and effective treatment of patients at the emergency site and during the transfer process, but also provides a scientific basis for subsequent rehabilitation treatment, significantly improving the efficiency and quality of the entire emergency process. This integrated emergency system is particularly suitable for resource-limited or remote areas, greatly expanding the coverage of high-quality medical services and improving patients' survival rate and rehabilitation effects.

[0119] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A small emergency first aid machine with remote video consultation function, characterized in that: It comprises a road surface detection unit (1), wherein the road surface detection unit (1) monitors the road surface condition in real time based on a road surface detection sensor module (11), so as to ensure that the patient receives emergency rescue in the shortest possible time; An information collection unit (2), wherein the information collection unit (2) inputs and manages the patient's personal information and symptom description based on the information management module (21); A vital sign monitoring unit (3), which monitors and analyzes the patient's vital signs based on the data collected by the information collection unit (2) through a portable vital sign monitoring module (31) using an abnormality detection algorithm; The specific steps involved in monitoring and analyzing the patient's vital signs by applying an abnormality detection algorithm through the portable vital sign monitoring module (31) are: S4.

1. collecting and displaying the patient's vital sign data in real time through a portable vital sign monitoring module (31); S4.

2. After uploading the vital sign data, the data is analyzed through anomaly detection algorithm; S4.3, the system issues an alarm based on the preset threshold; In S4.2, the specific steps involved in performing data analysis using anomaly detection algorithms after uploading the vital sign data are: S4.

21. transmitting the vital sign data collected by the portable vital sign monitoring module to a database; S4.22, preprocessing the received vital sign data; S4.

23. Based on historical data and medical standards, a baseline model is established for each vital sign data using the isolation forest algorithm; S4.

24. Apply anomaly detection algorithms to identify data points that are outside the range of the baseline model; A video consultation unit (4), wherein the video consultation unit (4) establishes a video connection with a remote doctor through a remote video module (41) based on the analysis result of the vital sign monitoring unit (3) to conduct a consultation on the patient; A response scheduling unit (5) performs emergency treatment on the patient and plans subsequent medical treatment based on the consultation result of the video consultation unit (4).

2. A small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: The road surface detection unit (1) comprises a road surface detection sensor module (11), and the road surface detection sensor module (11) is used to sense road surface conditions in real time, helping emergency first aid machines to avoid obstacles and optimize driving paths, thereby ensuring that patients receive emergency care in the shortest possible time.

3. The small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: The information collection unit (2) comprises an information management module (21), and the information management module (21) comprises a data collection module (211) and a data storage module (212); Wherein, the data acquisition module (211) is used to collect patient personal information in real time and preliminarily process patient information and vital sign data; The data storage module (212) is used to store the collected data and ensure efficient retrieval and long-term storage of the data.

4. The small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: In S4.23, the steps involved in establishing a baseline model for each vital sign data using the isolation forest algorithm based on historical data and medical standards are: Compute the average path length: For each data point x i , the path length in the tth isolation tree is h t (x i ); Calculate the data point x i The average path length E(h(x i )); Where T represents the number of isolation trees; t represents the number of isolation trees; i represents the index variable; Standardized Scoring: c(n)=2H(n-1)-(2(n-1) / n); Where n represents the number of samples; H(*) represents the harmonic number; c(n) represents the standardized score; Abnormality score: Among them, S(x i ,n) represents the abnormality score; The abnormality score is combined with the medical criteria to define a composite score: Among them, C(x i ,j) represents the comprehensive score; j represents the index of vital signs; x i,j Represents data point x i The jth vital sign value of j represents the lower limit of the medical definition of the jth vital sign; U j represents the medically defined upper bound for the jth vital sign.

5. The small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: In S4.24, the expression involved in applying the anomaly detection algorithm to identify data points that are beyond the range of the baseline model is: Among them, Anomalies represents the set of abnormal points; X new Represents a new dataset; represents the maximum comprehensive score; θ represents the threshold for anomaly detection.

6. The small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: The specific steps involved in establishing a video connection with a remote doctor through the remote video module (41) and consulting with the patient are: S7.

1. Determine whether to initiate a remote video consultation based on the results of the analysis by the vital sign monitoring unit (3); S7.

2. Establishing a video connection with a remote doctor through a remote video module (41) to ensure network stability and image clarity; S7.

3. The doctor observes the patient's condition through video and shares the patient's medical records and real-time vital signs data during the video conference; S7.

4. The doctor makes diagnostic comments and treatment recommendations based on the video consultation.

7. A small emergency first aid machine with remote video consultation function according to claim 6, characterized in that: In S7.2, the remote video module (41) is used to establish a high-definition video connection with a remote doctor at the emergency scene, realize remote consultation and real-time medical guidance, and transmit high-quality audio and video data through a high-speed network, so that the remote doctor can observe the patient's condition, listen to the patient's voice, and view vital sign monitoring data in real time.

8. The small emergency first aid machine with remote video consultation function according to claim 1, characterized in that: The specific steps involved in providing first aid treatment to the patient and planning subsequent medical treatment are: S10.

1. Immediately call emergency medical services and provide the exact location and condition of the patient; S10.

2. Adjust emergency measures at any time according to the patient's condition; S10.

3. During the transport process, continuously monitor the patient's vital signs and record any changes; S10.

4. Develop a rehabilitation plan after the patient's condition stabilizes.

Images