Anesthesia outpatient intubation intelligent evaluation system

Abstract

The invention relates to the technical field of medical treatment, in particular to an anesthesia outpatient intubation intelligent evaluation system which comprises an identity recognition module, a basic feature acquisition module, an audio and video acquisition module, a voice interaction module and an evaluation report module. The identity recognition module enters a login page, and after identity recognition is completed, a picture jumps to a height and weight measurement picture; the basic feature acquisition module is used for entering a height and weight measurement picture and measuring the height, the weight and the BMI of a user; then entering a blood pressure and heart rate measurement picture, and measuring the upper pressure, the lower pressure and the heart rate of the user; then entering a blood oxygen measurement picture, and measuring the blood oxygen rate of the user; according to the invention, key indexes required by intubation evaluation can be collected, and the success rate of tracheal intubation is improved. Therefore, intelligent one-stop service of preoperative anesthesia evaluation is realized, and time and energy of doctors are greatly saved. Therefore, the invention has extremely high social value.

Description

Technical Field

[0001] The invention relates to the field of medical technology, in particular to an intelligent evaluation system for intubation in an anesthesia outpatient clinic. Background Art

[0002] Medical intubation is a common clinical procedure, which is mainly used to establish a channel inside and outside the human body for various medical operations. These operations include but are not limited to infusion, blood transfusion, drug injection, gas exchange, urine excretion, gastrointestinal emptying, etc. Common medical intubations include intravenous intubation, arterial intubation, gastric tube insertion, endotracheal intubation, urinary catheter insertion, etc.

[0003] In the category of medical intubation, endotracheal intubation is a very important surgical operation. It is mainly used for airway obstruction, severe dyspnea, or when the patient needs general anesthesia during surgery. Endotracheal intubation can ensure the patient's unobstructed breathing, and drugs can also be delivered directly to the lungs through the endotracheal intubation. The correctness and accuracy of the endotracheal intubation operation have a very important impact on the user's life safety and recovery. In addition, there are cases of difficult endotracheal intubation during the endotracheal intubation operation. Difficult endotracheal intubation refers to the situation where difficulties are encountered in routine endotracheal intubation operations, or where difficulties are predicted. This difficulty may come from the user's anatomical structure, such as a short and thick neck, small oral opening, small submandibular space, abnormal laryngeal structure, etc.; it may also come from the user's pathological condition, such as neck tumors, laryngeal inflammation, laryngeal scars, cervical spondylosis, etc.

[0004] Traditional anesthesia assessment methods mainly rely on the doctor's experience and subjective judgment, which is subject to certain subjectivity and uncertainty. The repetitive and tedious questionnaire work not only consumes a lot of doctors' time, but also often leads to missed detection and misdiagnosis due to the large outpatient volume. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an intelligent evaluation system for intubation in an anesthesia outpatient clinic, which can collect key indicators required for intubation evaluation and improve the success rate of tracheal intubation.

[0006] The present invention is implemented by the following technical scheme: an intelligent evaluation system for intubation in anesthesia clinic, the system comprising an identity recognition module, a basic feature acquisition module, an audio and video acquisition module, a voice interaction module, and an evaluation report module;

[0007] Identity recognition module: Enter the login page, and after identity recognition is completed, the screen jumps to the height and weight measurement screen;

[0008] Basic feature acquisition module: enter the height and weight measurement screen to measure the user's height, weight and BMI; then enter the blood pressure and heart rate measurement screen to measure the user's upper pressure, lower pressure and heart rate; then enter the blood oxygen measurement screen to measure the user's blood oxygen rate;

[0009] Audio and video acquisition module: enter the audio and video acquisition screen and take photos of the user from multiple angles;

[0010] Voice interaction module: enter the voice interaction screen and conduct a questionnaire survey on users;

[0011] Evaluation report module: It summarizes the data collected by the basic feature acquisition module, audio and video acquisition module, and voice interaction module to form a summary report and derive the evaluation results.

[0012] Preferably, the identity recognition module is further specified as follows: the user logs in to the page through the medical insurance card or ID card, the front end calls the back end card reading start interface, and obtains the card reading result through polling. After waiting for the card reading result to be obtained, the card number is displayed in the input box and the name information in the card is recorded for display on the subsequent pages. If there is no name information, the name on the subsequent page will be displayed with the card number; after waiting for 1-2 seconds, it will automatically jump to the height and weight measurement screen.

[0013] Preferably, while waiting for the card reading result, the patient can also directly enter the card number and click the next button to jump to the height and weight measurement screen.

[0014] Preferably, the basic feature acquisition module is further specified as follows: when measuring the height, weight and BMI of the user, the back end provides a height and weight measurement start interface, calls the hardware dll dynamic link library, starts the height and weight measuring device, and monitors the measurement results. After obtaining the measurement results, it is returned to the front end, and the measurement results are saved in the vital signs measurement result table.

[0015] Preferably, the basic feature acquisition module is further specified as follows: when measuring the user's upper pressure, lower pressure and heart rate, the back end provides a blood pressure measurement start interface, calls the hardware's dll dynamic link library, starts the blood pressure meter, and monitors the measurement results until the measurement results are obtained and returned to the front end, and the measurement results are saved in the vital signs measurement result table.

[0016] Preferably, the basic feature acquisition module is further specified as follows: when measuring the blood oxygen rate of the user, the back end provides a blood oxygen measurement start interface, calls the hardware dll dynamic link library, starts the blood oxygen meter, and monitors the measurement results until the measurement results are obtained and returned to the front end, and the measurement results are saved in the vital signs measurement result table.

[0017] Preferably, the audio and video acquisition module is further specified as follows: taking photos of the user in four postures: sitting frontally, sitting frontally with mouth open, tilting the head back, and tilting the head back with mouth open; waiting for the user to adjust the position and press the photo button; the front end transmits the acquired photos and photo serial numbers to the back end for storage.

[0018] Preferably, the voice interaction module is further specified as follows: the questionnaire survey includes: whether you usually have syncope; whether you snore at night; whether you have loose teeth or non-fixed dentures; whether you feel chest tightness or shortness of breath when climbing three flights of stairs; whether you have chronic diseases; whether you have a history of allergies; if you are a woman, whether you are currently pregnant; whether there are other situations that need to be explained;

[0019] Start displaying the first question and playing the audio of the question synchronously. After the patient has made his or her choice, the question and answer will be transferred to the backend for storage.

[0020] Preferably, the evaluation report module is further specified as follows: the evaluation results are three types, namely, red code, yellow code and green code;

[0021] The evaluation result is determined by the following factors:

[0022] (1) When the patient opens his mouth, the distance between the upper and lower incisors is greater than 3 cm, which is excellent; 2-3 cm is good; and less than 2 cm is poor;

[0023] (2) When the patient raises his head, the distance from the chin tip to the Adam's apple is greater than 6.5 cm for excellent, 4.5-6.5 cm for good, and less than 4.5 cm for poor.

[0024] (3) When the patient leans back, the angle between the back of the head and the neck is less than 120 degrees (excellent), 120-180 degrees (good), and greater than 180 degrees (poor);

[0025] Case 1: If the results of these three factors are all excellent, the evaluation result is green and the endoscopy front desk directly passes;

[0026] Case 2: If any one of the three factors is poor, the evaluation result will be red and further evaluation will be conducted by the associate chief physician.

[0027] Case 3: If the results of the three factors fall into neither Case 1 nor Case 2, the assessment result is a yellow code and further assessment is performed by the resident doctor.

[0028] Preferably, the evaluation report module is further specified as follows: if the resident doctor or deputy chief physician believes that the evaluation result is inconsistent with the actual situation of the user, the resident doctor or deputy chief physician can modify the evaluation result.

[0029] Beneficial effects of the present invention:

[0030] The present invention can collect key indicators required for intubation assessment and improve the success rate of tracheal intubation. Thus, it can realize intelligent one-stop service for preoperative anesthesia assessment, saving a lot of doctors' time and energy. Therefore, the social value of the present invention is extremely high. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a system principle block diagram of the present invention. DETAILED DESCRIPTION

[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] See also Figure 1 ,The present invention provides an intelligent evaluation system for intubation in anesthesia clinic, the system includes an identity recognition module, a basic feature acquisition module, an audio and video acquisition module, a voice interaction module, and an evaluation report module;

[0034] Identity recognition module: mainly responsible for obtaining patient identity information and comparing it with the database; enter the login page, and after identity recognition is completed, the screen jumps to the height and weight measurement screen;

[0035] Basic feature collection module: mainly completes the collection and collection of various patient information, including height, blood oxygen content and other information; enters the height and weight measurement screen to measure the user's height, weight and BMI; then enters the blood pressure and heart rate measurement screen to measure the user's upper pressure, lower pressure and heart rate; then enters the blood oxygen measurement screen to measure the user's blood oxygen rate;

[0036] Audio and video acquisition module: collects audio and video information of patients from multiple angles, such as images of patients opening and closing their mouths, images of their airways, etc.; enters the audio and video acquisition screen and takes photos of the user from multiple angles;

[0037] Voice interaction module: completes the voice guidance of the patient throughout the medical treatment process to improve the interaction efficiency; enters the voice interaction screen and conducts a questionnaire survey on the user;

[0038] Evaluation report module: Based on the patient's measurement values ​​and image data, the entire evaluation report is summarized and green, yellow and red suggestions are given; the data collected by the basic feature acquisition module, audio and video acquisition module and voice interaction module are summarized to form a summary report and obtain the evaluation results.

[0039] The present invention will be further described below in conjunction with a specific embodiment:

[0040] An intelligent evaluation system for intubation in anesthesia clinic, the system comprising an identity recognition module, a basic feature acquisition module, an audio and video acquisition module, a voice interaction module, and an evaluation report module;

[0041] Identity recognition module: enter the login page, after identity recognition is completed, add a new measurement record of the user in the measurement information table (there is no measurement result at this time), and then jump to the height and weight measurement screen;

[0042] Enter the login page, the front-end calls the back-end card reading start interface, and obtains the card reading result through polling or websocket. Wait until the card reading result is obtained, display the card number in the input box and write down the name information in the card for display on the following pages. If there is no name information, the name on the following page will be displayed with the card number. After waiting for 1-2 seconds, it will automatically jump to the height and weight measurement screen. While waiting for the card reading result, the patient can also directly enter the card number and click the next button to jump to the height and weight measurement screen.

[0043] Before leaving this screen, the front end calls the back end card reading end interface to inform the back end to stop calling the card reader.

[0044] The backend provides a card reading start interface, calls the hardware dll, turns on the card reader, and starts an independent thread to poll or monitor the card reading results until the card reading results are obtained and returned to the frontend. At the same time, the current patient ID and current measurement record ID saved in the memory are cleared.

[0045] The backend provides a card reading end interface, calls the hardware dll, stops the card reader, and ends the card reading monitoring thread. At the same time, the card reading result is used to insert / update the patient information table, and a new measurement record of the patient is added to the measurement information table (there is no measurement result at this time, and it mainly records the user's measurement time and other information). The ID of the current patient and the ID of the current measurement record are recorded in the memory for use in subsequent steps.

[0046] Basic feature acquisition module: enter the height and weight measurement screen to measure the user's height, weight and BMI; then enter the blood pressure and heart rate measurement screen to measure the user's upper pressure, lower pressure and heart rate; then enter the blood oxygen measurement screen to measure the user's blood oxygen rate;

[0047] (1) Height and weight

[0048] Enter the screen, play the guidance voice and guidance animation, the front end calls the back end height and weight measurement start interface, and obtains the measurement results through polling or websocket. Wait until the measurement results are obtained and displayed on the front end screen and the measurement end voice is played. After waiting for 1-2 seconds, it automatically jumps to the blood pressure measurement screen.

[0049] Before leaving this screen, the front end calls the height and weight measurement completion interface to inform the back end that the height and weight measurement is completed.

[0050] The backend provides a height and weight measurement start interface, calls the hardware dll, starts the height and weight measuring device, monitors the measurement results, returns the measurement results to the frontend after obtaining them, and saves the measurement results to the vital signs measurement result table. There are three measurement results here: height, weight, and BMI. BMI = weight ÷ height squared (weight unit: kilograms; height unit: meters). When the database saves the measurement results, the associated current patient ID and current measurement record ID are obtained from the memory.

[0051] The backend provides a height and weight measurement end interface to end the height and weight measurement monitoring.

[0052] (2) Blood pressure and heart rate measurement

[0053] Enter the screen, play the guidance voice and guidance animation, the front end calls the back end blood pressure measurement start interface, and obtains the measurement result through polling or websocket, waits until the measurement result is obtained and displayed on the front end screen and plays the measurement end voice, and automatically jumps to the blood oxygen measurement screen after waiting for 1-2 seconds.

[0054] Before leaving this screen, the front end calls the blood pressure measurement end interface to inform the back end that the blood pressure measurement is finished.

[0055] The backend provides a blood pressure measurement start interface, calls the hardware dll, starts the blood pressure meter, and monitors the measurement results until the measurement results are obtained and returned to the frontend. At the same time, the measurement results are saved in the vital signs measurement result table. There are three measurement results here: upper pressure, lower pressure, and heart rate.

[0056] The backend provides a blood pressure measurement end interface to end blood pressure measurement monitoring.

[0057] (3) Blood oxygen measurement

[0058] Enter the screen, play the guidance voice and guidance animation, the front end calls the back end blood oxygen measurement start interface, and obtains the measurement result through polling or websocket, waits until the measurement result is obtained and displayed on the front end screen and plays the measurement end voice, waits for 1-2 seconds and automatically jumps to the airway assessment screen.

[0059] Before leaving this screen, the front end calls the blood oxygen measurement end interface to inform the back end that the blood oxygen measurement is finished.

[0060] The backend provides a blood oxygen measurement start interface, calls the hardware dll, turns on the blood oxygen meter, and monitors the measurement results until the measurement results are obtained and returned to the frontend. At the same time, the measurement results are saved in the vital signs measurement result table. There is only one measurement result here, blood oxygen rate.

[0061] The backend provides a blood oxygen measurement end interface to end the blood oxygen measurement monitoring.

[0062] Audio and video acquisition module: enter the audio and video acquisition screen and take photos of the user;

[0063] The screen plays a guiding voice, calls the front camera, and waits for the user to get in the right position - sit facing forward and press the photo button. The front end transmits the acquired photos and photo serial numbers to the back end for storage.

[0064] Then it automatically goes to the next photo-taking scene - sitting upright with mouth open, plays a guiding voice, calls the front camera, waits for the user to position himself and press the photo button, and the front end transmits the acquired photos and photo serial numbers to the back end for storage.

[0065] Then it automatically switches to the next photo-taking scene - tilt the head back as much as possible, play the guiding voice, call the left and right cameras, wait for the user to adjust the position and press the photo button, and the front end transmits the obtained photos and photo serial numbers to the back end for storage.

[0066] Finally, it automatically switches to the next photo scene - tilt the head back as far as possible and open the mouth, play the guidance voice, call the left and right cameras, wait for the user to position himself and press the photo button, and the front end transmits the obtained photos and photo serial numbers to the back end for storage. After the end, it automatically jumps to the questionnaire screen.

[0067] The backend provides an interface for saving collected images, saving the collected images to the local hard disk, and saving the image path to the airway image collection table.

[0068] Voice interaction module: enter the voice interaction screen and conduct a questionnaire survey on users;

[0069] Enter the screen, get all the questionnaire questions and questionnaire audio, start displaying from the first question and play the audio of the question synchronously, wait for the patient to make a selection, and then transfer the question ID and answer to the backend for storage. Then automatically switch to the next question, until the last question is answered and automatically jump to the end screen.

[0070] The backend provides an interface for obtaining all questionnaire titles and voice responses. All questionnaire-related data can be retrieved from the questionnaire form.

[0071] The backend provides a questionnaire saving interface to save the questionnaire's question ID, question, question number and answer to the questionnaire result table.

[0072] Evaluation report module: It summarizes the data collected by the basic feature acquisition module, audio and video acquisition module, and voice interaction module to form a summary report and derive the evaluation results.

[0073] There are three types of evaluation results: red code, yellow code and green code;

[0074] The red, yellow and green codes will take into account factors such as the patient's age, weight, and blood oxygen content, especially: (1) Ask the patient to open his mouth, and the camera will measure the distance between the upper and lower incisors; (2) Ask the patient to raise his head, and the camera will measure the distance from the tip of the chin to the Adam's apple; (3) Ask the patient to face the camera sideways, tilt his head back as much as possible, and measure the angle between the back of the head and the neck.

[0075] The evaluation result is determined by the following factors:

[0076] (1) When the patient opens his mouth, the distance between the upper and lower incisors is greater than 3 cm, which is excellent; 2-3 cm is good; and less than 2 cm is poor;

[0077] (2) When the patient raises his head, the distance from the chin tip to the Adam's apple is greater than 6.5 cm for excellent, 4.5-6.5 cm for good, and less than 4.5 cm for poor.

[0078] (3) When the patient leans back, the angle between the back of the head and the neck is less than 120 degrees (excellent), 120-180 degrees (good), and greater than 180 degrees (poor);

[0079] Case 1: If the results of these three factors are all excellent, the evaluation result is green and the endoscopy front desk directly passes;

[0080] Case 2: If any one of the three factors is poor, the evaluation result will be red and further evaluation will be conducted by the associate chief physician.

[0081] Case 3: If the results of the three factors fall into neither Case 1 nor Case 2, the assessment result is a yellow code and further assessment is performed by the resident doctor.

[0082] If the resident doctor or deputy chief physician believes that the evaluation result is inconsistent with the user's actual situation, the resident doctor or deputy chief physician can modify the evaluation result.

[0083] The front end displays the details of the assessment report in a grid format, including the patient's basic information, vital signs measurement results, questionnaire results, airway assessment collection pictures, and final test assessment results (red code, yellow code, green code).

[0084] Click the Modify button to jump to the evaluation report modification screen.

[0085] Click the Export button to download the assessment report.

[0086] Click the Close button to close this pop-up window.

[0087] The backend provides an interface for querying evaluation report details and a report download interface. Based on the test ID, all relevant data of the test result can be queried from the database.

[0088] The front end can modify the patient's vital sign measurement results and questionnaire results and save them to the database.

[0089] Click the Save button to save the changes and jump to the evaluation report details screen.

[0090] Click the Cancel button to jump to the evaluation report details screen.

[0091] The above description is only a preferred embodiment of the present invention and should not be construed as limiting the present application. All equivalent changes and modifications made within the scope of the patent application of the present invention should fall within the scope of the present invention.

Claims

1. An intelligent assessment system for intubation in anesthesia clinic, characterized by: The system includes an identity recognition module, a basic feature collection module, an audio and video collection module, a voice interaction module, and an evaluation report module; Identity recognition module: Enter the login page, and after identity recognition is completed, the screen jumps to the height and weight measurement screen; Basic feature acquisition module: enter the height and weight measurement screen to measure the user's height, weight and BMI; then enter the blood pressure and heart rate measurement screen to measure the user's upper pressure, lower pressure and heart rate; then enter the blood oxygen measurement screen to measure the user's blood oxygen rate; Audio and video acquisition module: enter the audio and video acquisition screen and take photos of the user from multiple angles; Voice interaction module: Enter the voice interaction screen and conduct a questionnaire survey on users; Evaluation report module: It summarizes the data collected by the basic feature acquisition module, audio and video acquisition module, and voice interaction module to form a summary report and obtain the evaluation results.

2. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The identity recognition module is further specified as follows: the user logs in to the page through the medical insurance card or ID card, the front end calls the back end card reading start interface, and obtains the card reading result through polling. After waiting for the card reading result to be obtained, the card number is displayed in the input box and the name information in the card is recorded for display on the subsequent pages. If there is no name information, the name on the subsequent page will be displayed with the card number; after waiting for 1-2 seconds, it will automatically jump to the height and weight measurement screen.

3. The intelligent assessment system for intubation in anesthesia clinic according to claim 2, characterized in that: While waiting for the card reading results, the patient can also directly enter the card number and click the next button to jump to the height and weight measurement screen.

4. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The basic feature acquisition module is further specified as follows: when measuring the user's height, weight and BMI, the back end provides a height and weight measurement start interface, calls the hardware's dll dynamic link library, starts the height and weight measuring device, and monitors the measurement results. After obtaining the measurement results, it is returned to the front end, and the measurement results are saved in the vital signs measurement result table.

5. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The basic feature acquisition module is further specified as follows: when measuring the user's upper pressure, lower pressure and heart rate, the back end provides a blood pressure measurement start interface, calls the hardware's dll dynamic link library, starts the blood pressure meter, and monitors the measurement results until the measurement results are obtained and returned to the front end, and the measurement results are saved in the vital signs measurement result table.

6. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The basic feature acquisition module is further specified as follows: when measuring the user's blood oxygen rate, the back end provides a blood oxygen measurement start interface, calls the hardware's dll dynamic link library, starts the blood oxygen meter, and monitors the measurement results until the measurement results are obtained and returned to the front end, and the measurement results are saved in the vital signs measurement result table.

7. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The audio and video acquisition module is further specified as follows: taking photos of the user in four postures: sitting frontally, sitting frontally with mouth open, tilting the head back, and tilting the head back with mouth open; waiting for the user to get into position and press the photo button; the front end transmits the acquired photos and photo serial numbers to the back end for storage.

8. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The voice interaction module is further specified as follows: the questionnaire survey includes: whether you usually have syncope; whether you snore during sleep at night; whether you have loose teeth or non-fixed dentures; whether you feel chest tightness or shortness of breath when climbing three flights of stairs; whether you have chronic diseases; whether you have a history of allergies; if you are a woman, whether you are currently pregnant; whether there are other situations that need to be explained; Start displaying the first question and playing the audio of the question synchronously. After the patient has made his or her choice, the question and answer will be transferred to the backend for storage.

9. The intelligent assessment system for intubation in anesthesia clinic according to claim 1, characterized in that: The evaluation report module is further specified as follows: the evaluation results are of three types, namely, red code, yellow code and green code; The evaluation result is determined by the following factors: (1) When the patient opens his mouth, the distance between the upper and lower incisors is greater than 3 cm, which is excellent; 2-3 cm is good; and less than 2 cm is poor; (2) When the patient raises his head, the distance from the chin tip to the Adam's apple is greater than 6.5 cm for excellent, 4.5-6.5 cm for good, and less than 4.5 cm for poor. (3) When the patient leans back, the angle between the back of the head and the neck is less than 120 degrees (excellent), 120-180 degrees (good), and greater than 180 degrees (poor); Case 1: If the results of these three factors are all excellent, the evaluation result is green and the endoscopy front desk directly passes; Case 2: If any one of the three factors is poor, the evaluation result will be red and further evaluation will be conducted by the associate chief physician. Case 3: If the results of the three factors fall into neither Case 1 nor Case 2, the assessment result is a yellow code and further assessment is performed by the resident doctor.

10. The intelligent assessment system for intubation in anesthesia clinic according to claim 9, characterized in that: The evaluation report module is further specified as follows: if the resident doctor or deputy chief physician believes that the evaluation result is inconsistent with the actual situation of the user, the resident doctor or deputy chief physician can modify the evaluation result.

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