Treatment inspection system

Abstract

To inspect whether beauty treatment is performed properly.SOLUTION: There is provided a medical treatment inspection system for inspecting whether the treatment in a newly acquired moving image is performed according to designated procedures using a model generated by machine learning with an image as training data. The inspection system allows compliance with the procedures to be guaranteed by automatically inspecting the progress of the treatment using machine learning, and improves safety of a patient, and quality of the treatment. Furthermore, the inspection system allows surgery to be monitored without causing an additional burden or a feeling of discomfort to the patient.SELECTED DRAWING: None

Description

[Technical field]

[0001] The present invention relates to a treatment audit system. [Background technology]

[0002] In recent years, the need for aesthetic medical treatment has increased, and various hospitals and clinics are offering a wide variety of aesthetic medical treatments. In response to this growing need, it is becoming increasingly important to provide aesthetic medical treatment more efficiently, accurately, and safely. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] Japan Society of Aesthetic Plastic Surgery, "Japan Society of Aesthetic Plastic Surgery Newsletter Aesthetic Medical Practice Guidelines (Revised Edition for 2021)," published on October 10, 2022 Summary of the Invention [Problem to be solved by the invention]

[0004] The present invention provides a method for evaluating whether cosmetic medical treatment is being performed appropriately in order to meet the need for performing cosmetic medical treatment more efficiently, more accurately, and more safely. [Means for solving the problem]

[0005] According to the present invention, there are provided an evaluation method, evaluation device, evaluation system, evaluation program, analysis method, analysis device, analysis system, analysis program, medical accident prevention method, medical accident prevention device, medical accident prevention system, medical accident prevention program, medical safety assurance method, medical safety assurance device, medical safety assurance system, and medical safety assurance program. Effect of the Invention

[0006] According to the present invention, it is possible to improve the safety and efficiency of treatment, and to ensure the support and safety of treatment by using a terminal. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0007] Embodiments of the present invention can be utilized as an evaluation method, evaluation device, evaluation system, evaluation program, analysis method, analysis device, analysis system, analysis program, medical accident prevention method, medical accident prevention device, medical accident prevention system, medical accident prevention program, medical safety assurance method, medical safety assurance device, medical safety assurance system, and medical safety assurance program, as to whether cosmetic medical care is being performed more efficiently, more accurately, and safely.

[0008] [Technology 1] This invention is a system for monitoring compliance with manuals for procedures at beauty clinics. Specifically, it captures information on the actions of medical staff during procedures and the tools they use in real time, and uses AI to determine whether the procedures are being performed according to the manual. If proper procedures are not performed, the system immediately issues an alert. This improves patient safety and reduces the possibility of medical errors.

[0009] Specifically, the present invention is a system for monitoring compliance with a manual for treatment actions in a beauty clinic. The problem that the present invention aims to solve is the deterioration of patient safety due to human error during surgery or examination or deviation from the manual. Specifically, in treatment at a beauty clinic where compliance with procedures is required, human error and non-compliance with routines are serious problems. The specific content of the present invention is a system that captures information such as the movements of medical personnel and the tools they use in real time and uses artificial intelligence (AI) to determine whether those actions conform to the manual. If appropriate actions are not taken, an alert is issued immediately, allowing appropriate responses. As an effect of the present invention, first of all, patient safety is significantly improved. By detecting deviations from the manual in real time, it is possible to prevent medical errors. In addition, the reaction of medical personnel to the generated alert and their subsequent actions are also recorded, making it possible to collect information that contributes to subsequent improvement activities. Furthermore, the present invention promotes training and ability improvement of medical personnel. Based on the generated alert, it is possible to clarify specific points for improvement, such as in what situations medical personnel tend to deviate from the manual or what procedures are difficult.

[0010] The system of the present invention includes the following elements. First, a sensor device, such as a high-resolution camera or motion sensor, is used to capture the movements of medical staff. This allows detailed recording of the doctor's movements during surgery and the operation of surgical tools. Second, an RFID (Radio Frequency Identification) tag or barcode scanner is installed to identify the tools and medicines used.

[0011] Motion sensors and high-resolution cameras capture the movements of medical professionals in real time and send the data to the AI ​​engine. For example, the moment a doctor picks up a surgical tool, his or her hand movements are captured and information is generated. Specific movement patterns during surgery (e.g., the direction and depth of the incision) are also captured as data.

[0012] RFID tags and barcode scanners are used to identify the instruments and drugs used. For example, RFID tags or barcodes attached to syringes, scalpels, and even medicines can be scanned to record which instruments or drugs were used and when. This ensures that the right instruments and drugs are used at the right time.

[0013] This data is sent in real time to the AI ​​engine, which uses deep learning algorithms to determine whether the data is in line with the manual. This determination covers a wide range of areas, including the timing of use of various instruments, surgical procedures, and the amount and timing of drug use.

[0014] If any behavior that does not comply with the manual is detected, the AI ​​engine generates an alert and warns medical personnel. This alert is communicated in the form of a message displayed on the screen, a voice notification, or a vibration on a specific device (e.g., a smartwatch). At the same time, detailed information about the alert and appropriate responses are also provided. In this way, by combining a specific sensor device and AI technology, the present invention monitors compliance with medical procedures in beauty clinics in real time and improves patient safety.

[0015] The audit system according to this embodiment will now be described in detail.

[0016] This is a medical auditing system that uses a model generated by machine learning with information and images on the following procedures as training data to audit whether the procedures in newly acquired videos are performed according to the specified procedures: fat collection and dialysis, fat injection into the bust, running the fat dialysis system, liposuction and fat introduction into the back, clamp operation, separation of fat and lidocaine, fat washing, and fat injection using an injection cannula.

[0017] The invention aims to solve the problem of quality assurance and patient safety in beauty clinics, specifically by automatically auditing whether specific treatment procedures are followed exactly, thus preventing medical errors and improving the quality of treatments.

[0018] The present invention uses machine learning to automatically audit the progress of a procedure, ensuring compliance with procedures and improving patient safety and quality of care. Moreover, the system is capable of monitoring the procedure without causing additional strain or discomfort for the patient.

[0019] In one embodiment of the present invention, a medical audit system collects image data of steps required for a particular procedure and uses the collected data as training data to generate a machine learning model. A newly acquired video is then input into the model to determine whether the procedure in the video is being performed according to the specified steps. In addition to real-time monitoring, the system can also analyze videos of past surgeries to retrospectively verify compliance with any given step.

[0020] This is a medical auditing system that uses a model generated by machine learning with information and images on the following procedures as training data to audit whether the procedures in newly acquired videos are performed according to the specified procedures: fat collection and dialysis, fat injection into the bust, running the fat dialysis system, liposuction and fat introduction into the back, clamp operation, separation of fat and lidocaine, fat washing, and fat injection using an injection cannula.

[0021] The invention aims to solve the problem of quality assurance and patient safety in beauty clinics, specifically by automatically auditing whether specific treatment procedures are followed exactly, thus preventing medical errors and improving the quality of treatments.

[0022] The present invention uses machine learning to automatically audit the progress of a procedure, ensuring compliance with procedures and improving patient safety and quality of care. Moreover, the system is capable of monitoring the procedure without causing additional strain or discomfort for the patient.

[0023] In one embodiment of the present invention, a medical audit system collects image data of steps required for a particular procedure and uses the collected data as training data to generate a machine learning model. A newly acquired video is then input into the model to determine whether the procedure in the video is being performed according to the specified steps. In addition to real-time monitoring, the system can also analyze videos of past surgeries to retrospectively verify compliance with any given step.

[0024] The present invention is a medical auditing system for recording and auditing treatments at a beauty clinic, comprising: information indicating whether or not a first situation, in which fat is collected and dialyzed by a dialysis system, is occurring in an image of the treatment, and a first learning model created by machine learning using the image as training data; information indicating whether or not a second situation, in which highly pure fat is injected into the bust, is occurring, and a second learning model created by machine learning using the image as training data; information indicating whether or not a third situation, in which a fat dialysis system is being performed, and a third learning model created by machine learning using the image as training data; information indicating whether or not a fourth situation, in which fat is aspirated and introduced into a main body bag, and the image as training data; a fourth learning model created by machine learning using an image of the first to eighth learning models as training data, a fifth learning model created by machine learning using information indicating whether the clamp operation is properly performed or not and the image as training data, a sixth learning model created by machine learning using information indicating whether the fat and lidocaine are separated or not and the image as training data, a seventh learning model created by machine learning using information indicating whether the fat is properly washed or not and the image as training data, and an eighth learning model created by machine learning using information indicating whether the fat is injected by an injection cannula or not and the image as training data.

[0025] In the first step, the collected fat is dialyzed by the dialysis system. This removes unnecessary components such as dead cells and aging cells, and only high-purity, high-quality fat cells containing fat cells and growth factors remain. In order to determine whether this is done properly, image data is required that captures the operation status of the dialysis system, the color tone, transparency, etc. of the fat. In the second step, the dialyzed high-purity fat is injected into the bust. This allows for bust enhancement. In order to determine whether this is done properly, image data is required that captures the injection site, injection amount, injection speed, etc. In the third step, the fat dialysis system is performed. This reduces the risk of lumps and increases the survival rate. In order to determine whether this is done properly, image data is required that captures the operation status of the fat dialysis system and the state of the fat after processing. In the fourth step, the fat is aspirated using a tulip cannula or Miranda and placed in the main body bag. In order to determine whether this is done properly, image data is required that captures the handling of the liposuction tool and the state of the aspirated fat. In the fifth step, the clamp is operated properly. Delicate operations are required, such as closing the clamp to prevent fat from leaking out. To determine whether this is done properly, image data capturing the position of the clamp and the operation status is required. In the sixth step, fat and lidocaine are separated. This ensures the purity of the fat and allows for better quality fat to be injected. To determine whether this is done properly, image data capturing the separation status of fat and lidocaine and the drainage status is required. In the seventh step, fat is properly washed. The fat is washed with lactec to remove impurities. To determine whether this is done properly, image data capturing the state of fat before and after washing and the washing process is required. In the eighth step, fat is injected through the injection cannula. Fat injection at the appropriate position and amount is required. To determine whether this is done properly, image data capturing the injection site, the operation status of the injection tool, and the state after injection are required.

[0026] In the present invention, the following advantages can be obtained by dialysis of the collected fat. Generates high-purity fat: It is possible to efficiently remove impurities and unnecessary cells and generate high-purity fat cells. This ensures the quality of the fat injected and improves safety and effectiveness. Improved safety: The selection of fat cells to be injected is more rigorous, reducing the risk of impurities such as dead or senescent cells, which reduces the risk of post-injection complications. Improved survival rate: The resulting highly pure fat is said to have a high survival rate. In other words, after being injected into the body, the fat is more likely to take root, and long-term effects can be expected. Reduced damage to tissue: The fat dialysis system minimizes damage to fat cells during the process, which reduces the risk of tissue damage and lumps after injection.

[0027] In particular, the following items may also be subject to audit by generating models: Equipment connection: Make sure that each part of the lipodialysis system is properly connected. If the connections are not made properly, the system may not perform to its full potential. Fat Cell Harvesting: Ensure that the amount of fat cells harvested is adequate. Too many can reduce the efficiency of the system and make it difficult to select the right fat cells. Filter Cleaning: Make sure the filter is properly cleaned. Improper cleaning can reduce the fat cell sorting ability and prevent the production of pure fat. Pre-fat injection checks: Double-check to ensure the fat to be injected is of high purity, ensuring the patient receives the highest quality fat cells. Equipment maintenance: Regularly maintain the equipment. Regular checks and maintenance are necessary to maintain the long-term performance of the fat dialysis system.

[0028] The system may acquire video in real time, and the auditing unit may audit the video in real time. The system may further include an alarm unit that issues an alarm when it is detected that the treatment is not being performed correctly.

[0029] The audit model used by the Audit Department is explained below. The audit model mainly uses deep learning techniques. This model judges the face band application process for each frame of video and evaluates whether the correct application process has been followed. Specifically, it uses a Convolutional Neural Network (CNN) to extract image features for each frame and a Long Short-Term Memory (LSTM) to determine temporal continuity.

[0030] Specifically, the model is generated using the following procedure: Data collection: Collect video data of correct and incorrect use of the faceband, preferably with labels for each step. Data preprocessing: Split the video into frames and organize each frame into a dataset along with its label. Model training: CNN is used to extract image features for each frame, and LSTM is used to learn temporal continuity. Model evaluation: The performance of the model is evaluated using a test dataset. Specific evaluation indicators include accuracy, precision, recall, and F1 score. Model application: The model will be applied to videos from actual medical settings to audit whether treatments are being performed properly.

[0031] [Technology 2] The invention is an AR (Augmented Reality) device that allows medical personnel to smoothly refer to manuals when performing procedures. This device is a headset or glasses type, and displays the manual instructions directly within the field of view of the medical personnel performing surgery. This makes it possible to check the manual more efficiently and quickly than conventional paper-based or electronic manual references.

[0032] The problem that this invention aims to solve is that it is difficult to refer to the manuals required for performing medical procedures, which hinders the smooth implementation of examinations and surgeries. In particular, some procedures are complicated, and if the appropriate manuals cannot be instantly checked, the quality and efficiency of the procedures may decrease.

[0033] The specific content of this invention is a system that utilizes AI and AR (Augmented Reality) technology to provide an appropriate manual for each procedure. When a medical professional starts a procedure, the AI ​​selects the manual corresponding to that procedure from a database and displays it in real time through an AR device (e.g., AR glasses or a head-mounted display). At that time, a voice recognition system is also used, and the medical professional can request the next procedure by voice.

[0034] The effect of this invention is that it becomes much easier to refer to the manual, which results in improved quality and efficiency of medical procedures. Specifically, by visually presenting the manual in real time using AR technology, examinations and surgeries can be performed smoothly. In addition, by using a voice recognition system, it becomes possible to refer to the manual and give instructions on the progress even when one's hands are full.

[0035] Additionally, the present invention can be used in education and training, where the system of the present invention can be used to train new medical personnel and potentially increase the speed at which they learn new procedures.

[0036] As described above, the present invention plays an important role in improving the quality and efficiency of medical treatments in beauty clinics.

[0037] [Technology 3] This invention is an AI audit system that integrates the recording of medical examinations and surgeries with the evaluation of compliance with the manual. This system records video of each stage of medical treatment, and then the AI ​​evaluates the degree of compliance with the manual. The AI ​​evaluation results are used as feedback for medical staff, contributing to the provision of higher quality medical services.

[0038] The problem that this invention aims to solve is the difficulty of properly evaluating whether medical procedures are being performed according to manuals and recording and analyzing the results over the long term. If this problem cannot be solved, it may be difficult to gain insight into improving the quality of medical procedures, preventing medical errors, and improving the education of medical professionals.

[0039] The specific content of this invention is a medical procedure recording and evaluation system that utilizes AI and video recording technology. The AI ​​engine analyzes high-resolution video feeds in real time and evaluates whether each step of the procedure or examination is performed according to the manual. This evaluation is performed automatically and generates a detailed report. The report is stored in an electronic medical history system for later reference and analysis.

[0040] The invention also records high-resolution video of surgical and examination procedures, which are then automatically tagged and evaluated by AI, allowing for the recording of small details and anomalies that may be overlooked during the medical procedure to be recorded and analysed later.

[0041] The benefits of this invention include quality assurance and continuous improvement of medical procedures. Automatic evaluation by AI and high-resolution video recording make it possible to check whether examinations and surgeries are being performed according to the manual and provide appropriate feedback. In addition, the records and evaluation results are stored in an electronic medical history system, making it possible to use them for long-term trend analysis and training material.

[0042] As described above, the present invention plays an important role in improving the efficiency of recording and evaluation of medical procedures in beauty clinics and in improving quality.

[0043] [Technology 4] This invention is a system that uses robotics technology to complement or replace medical procedures in beauty clinics. This system inputs manual information into AI, and the robot performs the medical procedure based on that information. For example, robots are used for procedures that require precision and consistency, such as injections, delicate surgery, and even the application of cosmetics. This makes it possible to standardize the quality of medical care and reduce the workload of medical professionals.

[0044] The problem that this invention aims to solve is that there are limitations to the diagnosis and surgery performed by human medical professionals, and it is difficult to ensure quality and consistency, especially when high precision and delicate operations are required.

[0045] The specific content of this invention is a robotic arm that inputs information from a manual and performs medical procedures as instructed, and an AI engine that controls its movements. First, information from the manual (e.g., surgical procedures, selection and use of surgical instruments, etc.) is input into the system. The AI ​​engine then analyzes the information and generates specific operation instructions for the robotic arm. The robotic arm performs medical procedures as instructed in the manual according to the instructions received from the AI ​​engine.

[0046] The effects of the present invention include improved quality and consistency of medical procedures. In particular, in surgeries that require delicate manipulation, the precise movements of the robot arm can achieve greater accuracy and consistency than human medical personnel. In addition, since the movements of the robot arm based on the manual are controlled by an AI engine, it is easy to respond to updates or changes to the manual.

[0047] Furthermore, the present invention contributes to reducing the workload of medical staff, particularly by reducing fatigue and stress caused by long surgeries and continuous medical examinations, thereby reducing the risk of medical errors.

[0048] As described above, the present invention plays an important role in improving the quality and consistency of medical procedures in beauty clinics and reducing the workload of medical staff.

[0049] Each of the above-mentioned functions (units) can be configured by, for example, hardware provided in a server device, a DSP (Digital Signal Processor), or software. For example, when configured by software, each of the above-mentioned function blocks 11 to 16 is actually configured with a CPU, RAM, ROM, etc. of a computer, and is realized by the operation of a program stored in a recording medium such as the RAM, ROM, hard disk, or semiconductor memory.

[0050] The present invention can include the following four configuration groups.

[0051] [Technology 1] <Item 1> A system that monitors whether medical procedures are being performed appropriately according to a pre-set manual and issues an alarm if inappropriate procedures are detected, A step of storing a standard manual for various medical procedures in beauty clinics in a database; A step of analyzing real-time data acquired during medical procedures and evaluating whether the procedures are being performed in accordance with a database manual; The system has a step of issuing an alarm if a deviation from the manual is detected. <Item 2> In the system of claim 2, the alarm is a combination of visual and audio signals. <Item 3> In the system described in item 1 or 2, the acquisition of real-time data includes video data from a head-mounted display, biometric information from a biosensor, and operation information of a surgical instrument. <Item 4> In the system described in any one of items 1 to 3, the analysis of the real-time data is performed by an AI engine. <Item 5> In the system described in any one of items 1 to 4, the manual describes detailed procedures for various cosmetic treatments and surgical procedures. <Item 6> In the system described in any one of items 1 to 5, the alarm is issued immediately when an action that does not conform to the manual is detected. <Item 7> In the system described in any one of items 1 to 6, after the alarm is issued, the contents of the alarm are stored as a log for review. <Item 8> In the system described in any one of items 1 to 7, if an action that does not conform to the manual continues, a continuous alarm is issued. <Item 9> In the system described in any one of items 1 to 8, the alarm issues different levels of warning depending on the type of violation and its importance. <Item 10> In the system according to any one of items 1 to 9, the manual is periodically updated, and the system performs evaluation based on the latest manual.

[0052] [Technology 2] <Item 1> A system that presents manuals as needed to medical professionals so that they can smoothly perform medical procedures, analyzing the healthcare professional's voice input and identifying an appropriate section of the manual; The system includes the step of immediately presenting the identified section of the manual. <Item 2> In the system described in item 1, the voice input analysis is performed using natural language processing techniques. <Item 3> In the system described in item 1 or 2, the voice input is analyzed not only for the spoken words of the medical professional but also for specific voice commands. <Item 4> In the system described in any one of items 1 to 3, the section of the manual is displayed on a device such as a head mounted display, a tablet, or a smartphone. <Item 5> In the system according to any one of items 1 to 4, when the identified section of the manual is displayed, necessary illustrations and related information are also displayed. <Item 6> In the system described in any one of items 1 to 5, sections of the manual are scrolled according to voice commands of a medical professional. <Item 7> In the system according to any one of items 1 to 6, past patient data and treatment results related to the section of the displayed manual can be referenced. <Item 8> In the system according to any one of items 1 to 7, when a section of the manual is displayed, a specific case study of a patient suitable for that section is also presented. <Item 9> In the system described in any one of items 1 to 8, the manual is periodically updated, and the system operates based on the latest manual. <Item 10> In the system described in any one of items 1 to 9, when a section of the manual is displayed, the document is summarized and key points are highlighted to make it easier for medical professionals to understand.

[0053] [Technology 3] <Item 1> A system for automating the recording and evaluation of medical examinations and surgical procedures in a beauty clinic, comprising: obtaining and storing a high resolution video recording of the medical procedure; analyzing the video recording with an AI engine to evaluate whether the actions were performed according to the manual; The system includes storing the results of the assessment in an electronic medical history system. <Item 2> In the system described in item 1, the real-time video and audio are recorded using a head-mounted display, a body camera, or the like. <Item 3> In the system described in item 1 or 2, the video and audio recording covers all medical procedures. <Item 4> In the system described in any one of items 1 to 3, the analysis of the real-time video and audio data is performed using an AI engine. <Item 5> In the system according to any one of items 1 to 4, the analysis result indicates whether or not an action consistent with a specific manual has been performed. <Item 6> In the system according to any one of items 1 to 5, after the medical procedure is completed, the recorded data is stored as a log for evaluation and review. <Item 7> In the system according to any one of items 1 to 6, the evaluation and review are performed by the medical professional himself, a colleague, or a superior. <Item 8> In the system described in any one of items 1 to 7, the results of the evaluation and review are used as feedback for improvement or training material. <Item 9> In the system according to any one of items 1 to 8, the manual is periodically updated, and the system performs evaluation based on the latest manual. <Item 10> In the system described in any one of items 1 to 9, the AI ​​engine analyzes video and audio data using a machine learning algorithm including deep learning.

[0054] [Technology 4] A system for performing medical procedures according to a manual using a robot arm, inputting medical procedure manual information into the system; The AI ​​engine analyzes the manual information and generates operation commands for the robot arm; A system comprising a step in which a robotic arm performs a medical procedure according to the generated motion command. <Item 2> In the system described in item 1, the robot arm is capable of movement with six or more degrees of freedom. <Item 3> In the system described in item 1 or 2, the robot arm has a high-precision position adjustment function for accurately reproducing specific treatment procedures. <Item 4> In the system described in any one of items 1 to 3, the robot arm detects the body movement of the patient and adjusts its position accordingly. <Item 5> In the system described in any one of items 1 to 4, the robot arm utilizes real-time sensor feedback to respond to various situations that arise during treatment. <Item 6> In the system described in any one of items 1 to 5, the robot arm has an advanced control algorithm for performing delicate medical procedures. <Item 7> In the system described in any one of items 1 to 6, the AI ​​engine controls the robot arm by utilizing a machine learning algorithm including deep learning. <Item 8> In the system described in any one of items 1 to 7, the robot arm can be remotely operated and can be monitored and operated in real time by a specialized medical professional. <Item 9> In the system described in any one of items 1 to 8, the manual is periodically updated, and the system controls the robot arm based on the latest manual. <Item 10> In the system described in any one of items 1 to 9, the operation results of the robot arm are recorded and stored for later review and feedback.

[0055] The above-described embodiment is merely an example for facilitating understanding of the present invention, and is not intended to limit the present invention. The present invention can be modified or improved without departing from the spirit of the present invention, and it goes without saying that the present invention includes equivalents thereof.

Claims

1. A medical audit system for recording and auditing treatments at beauty clinics, comprising: In the images taken during the treatment, A first learning model created by machine learning using information indicating whether or not a first situation is occurring in which fat has been collected and is being dialyzed by a fat dialysis system and the image as training data; A second learning model created by machine learning using information indicating whether or not a second situation is occurring in which high-purity fat is injected into the bust and the image as training data; and A third learning model created by machine learning using information indicating whether the fat dialysis system is in a third situation or not and the image as training data; A fourth learning model created by machine learning using information indicating whether or not a fourth situation in which fat is aspirated and introduced into the main body bag and the image as training data; A fifth learning model created by machine learning using information indicating whether or not a fifth situation is being performed appropriately and the image as training data; and A sixth learning model created by machine learning using information indicating whether or not a sixth situation in which fat and lidocaine are separated and the image as training data; and A seventh learning model created by machine learning using information indicating whether or not a seventh situation in which fat is properly washed and the image as training data; and an eighth learning model created by machine learning using information indicating whether or not an eighth situation is occurring in which fat is being injected through an injection cannula and the image as training data. A learning model storage unit that stores the An acquisition unit for acquiring a video of the treatment; An auditing unit that audits whether the treatment is being performed correctly by providing the video to the first to eighth learning models and determining whether the video is in the first to eighth situations; A medical audit system that includes:

2. 2. The audit system according to claim 1, The acquisition unit acquires the video moving image in real time, The auditing unit audits the video footage in real time; The medical audit system further comprises an alarm unit that issues an alarm if it is detected that the treatment method is not being performed correctly.