Intelligent triage system for pediatric emergency pre-examination

Abstract

The invention discloses an intelligent triage system for pediatric emergency pre-examination, and relates to the technical field of emergency pre-examination, body surface images of child patients are collected through a visual monitoring module, invasive operation on the patients is not needed, and unnecessary pain is avoided; the image recognition module and the first intelligent evaluation module are used for performing wound detection and evaluation on the child patient, so that the medical personnel have enough time to treat the patient with more serious illness, medical resources are effectively balanced, comprehensive evaluation is further provided for the child patient through the data acquisition and processing module, potential health problems are effectively recognized, and the medical personnel experience is improved. And the AI diagnosis module combines the third evaluation result and the fourth evaluation result to carry out priority ranking on the child patients, and generates a personalized diagnosis scheme by using historical medical records and an intelligent technology, so that the night work pressure of pediatric emergency medical personnel is reduced, the child patients are processed more quickly, and medical resources are uniformly distributed.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency pre-examination, and in particular to an intelligent triage system for pediatric emergency pre-examination. Background Art

[0002] The principle of pediatric emergency pre-examination is to collect the vital signs data and medical history information of child patients, combine medical knowledge and algorithm analysis, and conduct a preliminary assessment and analysis of the disease risk and severity of child patients, so as to quickly and effectively assess the condition of child patients to determine whether emergency treatment or further examination is needed. This process includes pediatric physiology, clinical manifestations of common childhood diseases, physical examination techniques, and knowledge of basic laboratory and imaging examinations. Medical staff need to understand the characteristics of children's growth and development, and the characteristics of typical diseases, such as respiratory tract infections, fever, respiratory distress, etc. In practice, focus on the vital signs, behaviors and reactions of child patients, as well as family and medical history. By comprehensively analyzing this information, medical staff can make quick and accurate preliminary assessments to provide guidance for subsequent treatment.

[0003] However, at night, there are usually fewer medical staff in the hospital's pediatric department, so there is a shortage of medical staff for emergency pre-examination, which increases work pressure and affects the timely treatment of child patients. In addition, most child patients who seek medical treatment at night suffer from sudden illnesses, resulting in uneven distribution of medical resources when child patients with varying degrees of severity face limited medical staff. Summary of the invention

[0004] Technical issues solved

[0005] In view of the deficiencies in the prior art, the present invention provides a pediatric emergency pre-examination intelligent triage system, which solves the problems in the background technology of insufficient medical staff in pediatric emergency departments at night, uneven distribution of medical resources, and untimely treatment of child patients.

[0006] Technical Solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a pediatric emergency pre-examination intelligent triage system, including a visual monitoring module, an intelligent consultation module, an image recognition module, a first intelligent evaluation module, a data acquisition and processing module, a second intelligent evaluation module and an AI diagnosis module:

[0008] The visual monitoring module collects body surface images of the child patient being examined at night through a visual sensor and a thermal imaging device to obtain a first image;

[0009] The intelligent consultation module obtains the duration of illness and basic information of the child patient through language question-and-answer interaction between the front desk guide and the child patient;

[0010] The image recognition module pre-processes the first image, uses a convolutional neural network as a basic framework, establishes a wound recognition model and trains it, and then recognizes the wound features of the first image to obtain: wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls and wound number Skl, and uses a thermal imaging device to obtain the body temperature difference Twc and abnormal temperature area Ywm through infrared radiation technology;

[0011] The first intelligent evaluation module receives the first data set, constructs a surgical index Wk, compares the surgical index Wk with a preset threshold value A, and generates a first evaluation result and a second evaluation result;

[0012] The data acquisition and processing module is used to receive the second evaluation result, collect physical data related to the child patient in real time, and collect historical medical records of the child patient to establish a second data set, analyze and calculate the second data set to obtain: and calculate and obtain the physical index Tgz based on the second data set; the body temperature value Twz, the heart rate value Xtp, the respiratory rate value Hxp, the blood oxygen saturation value Xbz and the ear, nose and throat health value Ebh,

[0013] The second intelligent assessment module assesses the physical index Tgz by using a preset normal sickness threshold p to generate a third assessment result and a fourth assessment result;

[0014] The AI ​​diagnostic module prioritizes child patients according to the third and fourth evaluation results, and generates different diagnostic plans using AI intelligent technology in combination with the child patients' historical medical records.

[0015] Preferably, the visual sensor uses a photosensitive element to detect whether there are wounds on the body surface of the child patient and the condition of the wounds;

[0016] The intelligent medical consultation module is used to obtain the age, height, weight, cause and duration of the disease of the child patient.

[0017] Preferably, the image recognition module quantifies the extent of the wound by correlating the number of pixels and the pixel area of ​​the wound tear area Slm and the wound redness and swelling area Hzm in the first image; uses a thermal imaging device to monitor the difference between the temperature around the wound and the temperature of healthy tissue, and calculates the area of ​​the temperature area beyond the normal range.

[0018] Preferably, the surgical index Wk is obtained by extracting the wound redness and swelling area Hzm, the wound tear area Slm, the wound tear depth Sls, the number of wounds Skl, the body temperature difference Twc and the abnormal temperature area Ywm, and after dimensionless processing, the surgical index Wk is calculated by the following formula:

[0019] Wk=a*Hzm+b*Slm+c*Sls+d*Skl+e*Twc+f*Ywm

[0020] Wherein, a, b, c, d, e and f are the weight values ​​of wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls, wound number Skl, body temperature difference Twc and abnormal temperature area Ywm, respectively, which are adjusted and set by the user; abnormal temperature refers to the body surface temperature above 36.5℃-37.5℃, and the abnormal temperature area Ywm is obtained.

[0021] Preferably, the first intelligent evaluation module performs evaluation through a preset threshold value A and a surgical index Wk, and the specific evaluation scheme is as follows:

[0022] When the surgical index Wk ≥ the preset threshold A, it means that the child patient has an abnormal wound on the body surface and there is a risk of infection. In this case, the child patient should be given priority to see the surgical department.

[0023] When the surgical index Wk is less than the preset threshold value A, it means that the wound on the surface of the child's body is normal but there is a risk of infection and other unknown diseases. At this time, the child is given priority for further examination.

[0024] Preferably, the data acquisition and processing module is used to collect the child patient's body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, and blood oxygen saturation value Xbz in real time through a handheld integrated sensor;

[0025] And use hearing screening instruments to monitor and obtain the hearing value Tlz of child patients;

[0026] Obtain the nasal ventilation volume Bqz of children patients through respiratory flow meter monitoring;

[0027] The pharyngeal redness and swelling area Bqz was obtained through laryngoscope monitoring;

[0028] The hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz are correlated and calculated to obtain the ear, nose and throat health value Ebh.

[0029] Preferably, the ENT health value Ebh is obtained by extracting the hearing value Tlz, the nasal ventilation volume Bqz and the pharyngeal redness and swelling area Bqz, performing dimensionless processing, and obtaining the ENT health value Ebh by correlation calculation through the following formula:

[0030]

[0031] In the formula, q1, q2 and q3 represent the weight values ​​of hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz respectively;

[0032] Among them, 0<q1<1, 0<q2<1, 0<q3<1, and q1+q2+q3=1.0.

[0033] Preferably, the data acquisition and processing module is used to perform dimensionless processing on the collected body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh according to the second data set, and calculate the physical index Tgz by the following formula:

[0034]

[0035] Where t1, t2, t3, t4 and t5 represent the weight values ​​of body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh respectively, w i It represents the weight of the i-th indicator, i represents the number of the indicator, and 1<i<5, and e represents the base function.

[0036] Preferably, the second intelligent assessment module performs assessment based on the physical index Tgz and the preset normal and sick threshold p and generates corresponding results:

[0037] When the physical index Tgz ≥ the preset normal threshold p, it means that the child's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal and exceed the preset normal threshold p, and the third assessment priority result is generated and uploaded to the AI ​​diagnosis module;

[0038] When the body index Tgz is less than the preset normal illness threshold p, it means that the child patient's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal but lower than the preset normal illness threshold p. The fourth assessment report is generated and uploaded to the AI ​​diagnosis module.

[0039] Preferably, the AI ​​diagnostic module preferentially diagnoses child patients with the third assessment result through NLP technology, confirms the cause of the disease in combination with the child patients' historical medical records, and prescribes a treatment plan, and then diagnoses the child patients with the fourth assessment result; the AI ​​diagnostic module diagnoses and prescribes a treatment plan in combination with all the information of the child patients in the first data set and the second data set.

[0040] Beneficial Effects

[0041] The present invention provides a pediatric emergency pre-examination intelligent triage system, which has the following beneficial effects:

[0042] (1) This pediatric emergency pre-examination intelligent triage system collects surface images of child patients through a visual monitoring module, quickly completes the evaluation of child patients in a short time, and uses visual sensors and thermal imaging devices for evaluation, without the need for invasive operations on patients, thus avoiding unnecessary pain and the risk of worsening of the disease. The image recognition module and the first intelligent evaluation module are then used to detect and evaluate the wounds of child patients, thus reducing the waiting time for child patients to see a doctor, while saving the time and workload of medical staff at night, allowing medical staff to have enough time to deal with patients with more serious conditions, effectively balancing medical resources.

[0043] (2) This pediatric emergency pre-examination intelligent triage system comprehensively considers the body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh through the data acquisition and processing module, further provides a comprehensive assessment of child patients and effectively identifies potential health problems. The second intelligent assessment module then evaluates the physical index Tgz according to the preset threshold and generates corresponding assessment results, which helps doctors make diagnosis and treatment decisions more quickly and accurately, thereby improving the medical staff's consultation efficiency.

[0044] (3) This is a pediatric emergency pre-examination intelligent triage system. The AI ​​diagnosis module combines the third and fourth evaluation results to prioritize child patients and uses historical medical records and intelligent technology to generate personalized diagnosis plans, which helps to improve diagnostic accuracy and treatment effectiveness. At the same time, it reduces the nighttime work pressure of pediatric emergency medical staff, handles child patients more quickly, and evenly distributes medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 The present invention is a schematic diagram of the process framework of a pediatric emergency pre-examination intelligent triage system. DETAILED DESCRIPTION

[0046] 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.

[0047] Example 1

[0048] See also Figure 1 , a pediatric emergency pre-examination intelligent triage system, including a visual monitoring module, an intelligent consultation module, an image recognition module, a first intelligent evaluation module, a data acquisition and processing module, a second intelligent evaluation module and an AI diagnosis module:

[0049] The visual monitoring module collects body surface images of the child patient being examined at night through a visual sensor and a thermal imaging device to obtain a first image;

[0050] The intelligent consultation module obtains the duration of illness and basic information of the child patient through language question-and-answer interaction between the front desk guide and the child patient;

[0051] The image recognition module pre-processes the first image, uses a convolutional neural network as a basic framework, establishes a wound recognition model and trains it, and then recognizes the wound features of the first image to obtain: wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls and wound number Skl, and uses a thermal imaging device to obtain the body temperature difference Twc and abnormal temperature area Ywm through infrared radiation technology;

[0052] The first intelligent evaluation module receives the first data set, constructs a surgical index Wk, compares the surgical index Wk with a preset threshold value A, and generates a first evaluation result and a second evaluation result;

[0053] The data acquisition and processing module is used to receive the second evaluation result, collect physical data related to the child patient in real time, and collect historical medical records of the child patient to establish a second data set, analyze and calculate the second data set to obtain: and calculate and obtain the physical index Tgz based on the second data set; the body temperature value Twz, the heart rate value Xtp, the respiratory rate value Hxp, the blood oxygen saturation value Xbz and the ear, nose and throat health value Ebh,

[0054] The second intelligent assessment module assesses the physical index Tgz by using a preset normal sickness threshold p to generate a third assessment result and a fourth assessment result;

[0055] The AI ​​diagnostic module prioritizes child patients according to the third and fourth evaluation results, and generates different diagnostic plans using AI intelligent technology in combination with the child patients' historical medical records.

[0056] In this embodiment, through the combination of the visual monitoring module, the intelligent consultation module and the image recognition module, a comprehensive physical assessment of the child patient is helpful to discover potential health problems. At the same time, artificial intelligence technology is used to establish models and training data to achieve intelligent recognition and analysis of multiple indicators such as wound characteristics and body temperature differences, thereby improving the accuracy and efficiency of diagnosis. The system collects relevant data of child patients in real time, and combines historical medical records to establish a complete data set. Data integration helps doctors better understand changes in patients' conditions and adjust treatment plans in a timely manner. The system generates personalized diagnosis plans based on the patient's specific circumstances through the evaluation of the physical index Tgz and the application of the intelligent diagnosis module, thereby improving the pertinence and effectiveness of the treatment. At the same time, the child patients are prioritized through the AI ​​diagnosis module, and patients with more serious conditions are given priority to effectively balance medical resources.

[0057] Example 2

[0058] The visual sensor uses photosensitive elements to detect whether there are wounds on the surface of the child patient's body and the condition of the wound;

[0059] The intelligent medical consultation module is used to obtain the age, height, weight, cause and duration of the disease of the child patient.

[0060] The image recognition module quantifies the extent of the wound by correlating the number of pixels and the pixel area of ​​the wound tear area Slm and the wound redness and swelling area Hzm in the first image; uses a thermal imaging device to monitor the difference between the temperature around the wound and the temperature of healthy tissue, and calculates the area of ​​the temperature area beyond the normal range.

[0061] In this embodiment, the visual sensor detects basic information about wounds on the surface of the child patient's body. The intelligent consultation module is used to collect basic information about the child patient, such as age, height, weight, and the cause and duration of the illness, so that the doctor can have a clearer understanding of the patient's overall health status and possible disease risks; the image recognition module is mainly used to conduct a more in-depth assessment of the wound, by quantifying the extent of the wound in the first image, using a thermal imaging device to monitor the difference between the temperature around the wound and the temperature of healthy tissue, and the area of ​​the temperature area beyond the normal range, so as to promptly discover potential infection areas and analyze the wound condition in detail so that the doctor can quickly formulate a more effective treatment plan.

[0062] Example 3

[0063] The surgical index Wk is obtained by extracting the wound redness and swelling area Hzm, the wound tear area Slm, the wound tear depth Sls, the number of wounds Skl, the body temperature difference Twc and the abnormal temperature area Ywm, and after dimensionless processing, the surgical index Wk is calculated by the following formula:

[0064] Wk=a*Hzm+b*Slm+c*Sls+d*Skl+e*Twc+f*Ywm

[0065] Wherein, a, b, c, d, e and f are the weight values ​​of wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls, wound number Skl, body temperature difference Twc and abnormal temperature area Ywm, respectively, which are adjusted and set by the user; abnormal temperature refers to the body surface temperature above 36.5℃-37.5℃, and the abnormal temperature area Ywm is obtained.

[0066] The first intelligent evaluation module performs evaluation through a preset threshold value A and a surgical index Wk. The specific evaluation scheme is as follows:

[0067] When the surgical index Wk ≥ the preset threshold A, it means that the child patient has an abnormal wound on the body surface and there is a risk of infection. In this case, the child patient should be given priority to see the surgical department.

[0068] When the surgical index Wk is less than the preset threshold value A, it means that the wound on the surface of the child's body is normal but there is a risk of infection and other unknown diseases. At this time, the child is given priority for further examination.

[0069] In this embodiment, the wound condition is quantified by calculating the surgical index Wk, and then the surgical index Wk is compared with the preset threshold value A. First, it is determined whether the patient needs to visit the surgery department or the internal medicine department first. When the surgical index Wk is higher than the threshold, it means that the wound on the patient's body surface is abnormal and there is a risk of infection. Therefore, the patient is given priority to visit the surgery department to treat the wound. When the surgical index is lower than the threshold, it means that there is no wound on the patient's body surface or the wound is very small, but there is a risk of infection or other potential diseases. At this time, the patient is given priority to visit the internal medicine department to check for other potential diseases.

[0070] Example 4

[0071] The data acquisition and processing module is used to collect the child patient's body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, and blood oxygen saturation value Xbz in real time through a handheld integrated sensor;

[0072] And use hearing screening instruments to monitor and obtain the hearing value Tlz of child patients;

[0073] Obtain the nasal ventilation volume Bqz of children patients through respiratory flow meter monitoring;

[0074] The pharyngeal redness and swelling area Bqz was obtained through laryngoscope monitoring;

[0075] The hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz are correlated and calculated to obtain the ear, nose and throat health value Ebh.

[0076] The ear, nose and throat health value Ebh is obtained by extracting the hearing value Tlz, the nasal ventilation volume Bqz and the pharyngeal redness and swelling area Bqz, performing dimensionless processing, and obtaining the ear, nose and throat health value Ebh by correlation calculation through the following formula:

[0077]

[0078] In the formula, q1, q2 and q3 represent the weight values ​​of hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz respectively;

[0079] Among them, 0<q1<1, 0<q2<1, 0<q3<1, and q1+q2+q3=1.0.

[0080] The data acquisition and processing module is used to perform dimensionless processing on the collected body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh according to the second data set, and calculate the physical index Tgz through the following formula:

[0081]

[0082] Where t1, t2, t3, t4 and t5 represent the weight values ​​of body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh respectively, w i It represents the weight of the i-th indicator, i represents the number of the indicator, and 1<i<5, and e represents the base function.

[0083] In this embodiment, the handheld integrated sensor consists of a body temperature sensor, a heart rate sensor, a respiratory sensor and a blood oxygen saturation sensor, which are used to collect the physiological parameters of the child patient in real time, and promptly detect abnormal conditions such as fever, abnormal heart rate, abnormal breathing and insufficient oxygen supply in the child patient; at the same time, the calculation of the body index Tgz comprehensively considers multiple physiological parameters such as body temperature, heart rate, respiratory rate, blood oxygen saturation and ear, nose and throat health values. At the same time, the doctor quickly judges the severity of the child patient's condition based on the physical index Tgz, and decides whether the patient needs to be cooled down, given heart and respiratory system support, and whether the patient needs oxygen therapy according to the condition.

[0084] Example 5

[0085] The second intelligent assessment module evaluates the body index Tgz and the preset normal and sick threshold p and generates corresponding results:

[0086] When the physical index Tgz ≥ the preset normal threshold p, it means that the child's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal and exceed the preset normal threshold p, and the third assessment priority result is generated and uploaded to the AI ​​diagnosis module;

[0087] When the body index Tgz is less than the preset normal illness threshold p, it means that the child patient's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal but lower than the preset normal illness threshold p. The fourth assessment report is generated and uploaded to the AI ​​diagnosis module.

[0088] The AI ​​diagnostic module uses NLP technology to prioritize diagnosing child patients with the third assessment result, and confirms the cause of the disease in combination with the child patients' historical medical records, and prescribes a treatment plan, and then diagnoses the child patients with the fourth assessment result; the AI ​​diagnostic module combines all information of the child patients in the first data set and the second data set to diagnose and prescribe a treatment plan.

[0089] In this embodiment, an assessment is performed based on a preset ratio threshold value P and a physical index Tgz, and a corresponding assessment result is generated. By evaluating the physical index of the child patient, it is quickly determined whether the child patient has a serious abnormality, which provides an important reference for subsequent diagnosis and treatment, shortens the time for diagnosis and treatment, and improves work efficiency. The NLP technology is used to give priority to diagnosing the child patient with the third assessment result, and the cause of the disease is confirmed in combination with the child patient's historical medical records, and a treatment plan is prescribed. Then the same operation is performed on the child patient with the fourth assessment result. The AI ​​technology is used to quickly and accurately diagnose the assessment results, and combined with the child patient's historical medical records, the accuracy of the diagnosis and the targeted treatment are improved, which provides more diagnosis and treatment references for medical staff, and helps to improve the treatment effect of child patients.

[0090] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A pediatric emergency pre-examination intelligent triage system, characterized by: It includes visual monitoring module, intelligent consultation module, image recognition module, first intelligent evaluation module, data acquisition and processing module, second intelligent evaluation module and AI diagnosis module: The visual monitoring module collects body surface images of the child patient being examined at night through a visual sensor and a thermal imaging device to obtain a first image; The intelligent consultation module obtains the duration of illness and basic information of the child patient through language question-and-answer interaction between the front desk guide and the child patient; The image recognition module pre-processes the first image, uses a convolutional neural network as a basic framework, establishes a wound recognition model and trains it, and then recognizes the wound features of the first image to obtain: wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls and wound number Skl, and uses a thermal imaging device to obtain the body temperature difference Twc and abnormal temperature area Ywm through infrared radiation technology; The first intelligent evaluation module receives the first data set, constructs a surgical index Wk, compares the surgical index Wk with a preset threshold value A, and generates a first evaluation result and a second evaluation result; The data acquisition and processing module is used to receive the second evaluation result, collect physical data related to the child patient in real time, and collect historical medical records of the child patient to establish a second data set, analyze and calculate the second data set to obtain: and calculate and obtain the physical index Tgz; body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh based on the second data set; The second intelligent assessment module assesses the physical index Tgz by using a preset normal sickness threshold p to generate a third assessment result and a fourth assessment result; The AI ​​diagnostic module prioritizes child patients according to the third and fourth evaluation results, and generates different diagnostic plans using AI intelligent technology in combination with the child patients' historical medical records.

2. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The visual sensor uses photosensitive elements to detect whether there are wounds on the surface of the child patient's body and the condition of the wound; The intelligent medical consultation module is used to obtain the age, height, weight, cause and duration of the disease of the child patient.

3. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The image recognition module quantifies the extent of the wound by correlating the number of pixels and the pixel area of ​​the wound tear area Slm and the wound redness and swelling area Hzm in the first image; uses a thermal imaging device to monitor the difference between the temperature around the wound and the temperature of healthy tissue, and calculates the area of ​​the temperature area beyond the normal range.

4. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The surgical index Wk is obtained by extracting the wound redness and swelling area Hzm, the wound tear area Slm, the wound tear depth Sls, the number of wounds Skl, the body temperature difference Twc and the abnormal temperature area Ywm, and after dimensionless processing, the surgical index Wk is calculated by the following formula: Wk=a*Hzm+b*Slm+c*Sls+d*Skl+e*Twc+f*Ywm Wherein, a, b, c, d, e and f are the weight values ​​of wound redness and swelling area Hzm, wound tear area Slm, wound tear depth Sls, wound number Skl, body temperature difference Twc and abnormal temperature area Ywm, respectively, which are adjusted and set by the user; abnormal temperature refers to the body surface temperature above 36.5℃-37.5℃, and the abnormal temperature area Ywm is obtained.

5. The pediatric emergency pre-examination intelligent triage system according to claim 4, characterized in that: The first intelligent evaluation module performs evaluation through a preset threshold value A and a surgical index Wk. The specific evaluation scheme is as follows: When the surgical index Wk ≥ the preset threshold A, it means that the child patient has an abnormal wound on the body surface and there is a risk of infection. In this case, the child patient should be given priority to see the surgical department. When the surgical index Wk is less than the preset threshold value A, it means that the wound on the surface of the child's body is normal but there is a risk of infection and other unknown diseases. At this time, the child is given priority for further examination.

6. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The data acquisition and processing module is used to collect the child patient's body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, and blood oxygen saturation value Xbz in real time through a handheld integrated sensor; And use hearing screening instruments to monitor and obtain the hearing value Tlz of child patients; Obtain the nasal ventilation volume Bqz of children patients through respiratory flow meter monitoring; The pharyngeal redness and swelling area Bqz was obtained through laryngoscope monitoring; The hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz are correlated and calculated to obtain the ear, nose and throat health value Ebh.

7. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The ear, nose and throat health value Ebh is obtained by extracting the hearing value Tlz, the nasal ventilation volume Bqz and the pharyngeal redness and swelling area Bqz, performing dimensionless processing, and obtaining the ear, nose and throat health value Ebh by correlation calculation through the following formula: In the formula, q1, q2 and q3 represent the weight values ​​of hearing value Tlz, nasal ventilation volume Bqz and pharyngeal redness and swelling area Bqz respectively; Among them, 0<q1<1, 0<q2<1, 0<q3<1, and q1+q2+q3=1.

0.

8. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The data acquisition and processing module is used to perform dimensionless processing on the collected body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh according to the second data set, and calculate the physical index Tgz through the following formula: Where t1, t2, t3, t4 and t5 represent the weight values ​​of body temperature value Twz, heart rate value Xtp, respiratory rate value Hxp, blood oxygen saturation value Xbz and ear, nose and throat health value Ebh respectively, w i It represents the weight of the i-th indicator, i represents the number of the indicator, and 1<i<5, and e represents the base function.

9. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The second intelligent assessment module evaluates the body index Tgz and the preset normal and sick threshold p and generates corresponding results: When the physical index Tgz ≥ the preset normal threshold p, it means that the child's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal and exceed the preset normal threshold p, and the third assessment priority result is generated and uploaded to the AI ​​diagnosis module; When the body index Tgz is less than the preset normal illness threshold p, it means that the child patient's body temperature, heart rate, respiratory rate, blood oxygen content and ear, nose and throat are abnormal but lower than the preset normal illness threshold p. The fourth assessment report is generated and uploaded to the AI ​​diagnosis module.

10. The pediatric emergency pre-examination intelligent triage system according to claim 1, characterized in that: The AI ​​diagnostic module uses NLP technology to prioritize diagnosing child patients with the third assessment result, and confirms the cause of the disease in combination with the child patients' historical medical records, and prescribes a treatment plan, and then diagnoses the child patients with the fourth assessment result; the AI ​​diagnostic module combines all information of the child patients in the first data set and the second data set to diagnose and prescribe a treatment plan.

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