A method and device for quality control in ECMO care

Abstract

This invention relates to a method and apparatus for quality control in ECMO nursing care. The apparatus includes a server and a monitoring unit. The server includes at least a processing unit; the processing unit is configured to: when medical staff are performing nursing work in the context of ECMO equipment use, and the acquisition component sends the collected ECMO equipment operating parameters and patient physiological parameters to the processing unit, establish a site parameter model corresponding to the patient's body parts and physiological parameters based on a time axis and the patient's body parts; the processing unit adjusts the ECMO equipment operating parameters through the site parameter model, and based on the determined adjustment and combined with a medical database, the processing unit generates auxiliary adjustment operations and nursing opinions for medical staff to perform. The apparatus, method, and system provided by this invention have the advantages of controlling the nursing process and ensuring treatment efficiency, and also have the effects of improving and reducing data transmission and processing volume, reducing workload, etc., meeting the high-efficiency and high-professional requirements of ECMO equipment use.

Description

Technical Field

[0001] This invention relates to the field of ECMO nursing technology, and in particular to a method and device for quality control in ECMO nursing. Background Technology

[0002] ECMO (Extracorporeal Membrane Oxygenation) is an extracorporeal support technology for the cardiopulmonary function of critically ill patients. It works by draining venous blood from the patient's body to the outside for adequate oxygenation, then returning it to the patient's body, creating postural circulation to improve oxygen delivery and sustain life. Currently, the most fatal complication of ECMO is bleeding, such as bleeding at the puncture site due to loose tubing, or bleeding caused by coagulation disorders due to prolonged extracorporeal circulation. Current nursing measures for ECMO complications include: daily observation of pupils and level of consciousness; observation of arterial pulses, skin temperature, color, sensation, and presence of edema in the limbs, especially the puncture side; monitoring room temperature; close monitoring of the tightness of tubing connections to prevent tubing dislodgement and air embolism; and observation of the ECMO circulatory system every 4-6 hours for thrombus formation, listening for abnormal sounds from the pump with a stethoscope, and shining a flashlight through the entire ECMO tubing. These nursing measures rely on manual operation by medical staff and lack a feasible automated quality control system for ECMO nursing care.

[0003] Current quality control measures for ECMO equipment care lack dual interpretation of parameters and images, as well as emergency care guidance information for unexpected situations. As the ECMO care process continues and the patient's vital signs change, the factors that could lead to quality problems in the care process increase. Existing quality control devices struggle to make accurate judgments and provide alerts, and the amount of data that needs to be processed is too large, making it difficult for medical staff to respond quickly. Furthermore, the relevant equipment is limited by the network environment.

[0004] Chinese patent CN113908362B discloses a method and system for quality control of ECMO nursing based on big data. The method includes: real-time acquisition of operating parameters and on-site video of the ECMO device; classification of the operating parameters to form indicator parameters and setting parameters; and real-time site detection of the on-site video based on a preset site category detection model; inputting the classified indicator parameters into a calibration table for calibration to obtain calibrated setting parameters; inputting the real-time site detection video into a video quality classification model for classification, the classification results output by the video quality classification model including accurate operation, operational defects, and serious operational errors; inputting the calibrated setting parameters into the ECMO device; and outputting guidance and corrective measures based on the classification results. This patent enables both automatic monitoring of the ECMO device and monitoring of the operational quality of medical personnel, improving the accuracy of ECMO nursing quality control. However, the patent has the following drawbacks: it lacks dual judgment on parameters and images, and the image supervision is limited to a single comparison stage. It does not offer a solution to the problem of large data processing volume in the whole process of image acquisition, nor does it provide a solution when medical staff lack nursing experience. The final guidance and correction effect is delayed, resulting in a decrease in the cure rate of patients.

[0005] Furthermore, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making this invention, but due to space limitations, not all details and contents were listed in detail. However, this does not mean that the present invention does not possess the features of these prior art. On the contrary, the present invention already possesses all the features of the prior art, and the applicant reserves the right to add relevant prior art to the background art. Summary of the Invention

[0006] Traditional ECMO devices are extracorporeal life support devices that replace the patient's normal lung function, allowing the lungs to rest fully. Existing technologies typically rely on the expertise of medical staff to adjust the operating parameters of the ECMO device. However, due to varying levels of expertise among medical personnel, optimal adjustments cannot always be achieved. This invention achieves automatic adjustment through monitoring the ECMO device, with assisted adjustments by medical staff. By reducing data transmission, it sends on-site information to higher-level departments or experts for guidance and prompts. Remote auxiliary control is then implemented based on the standards set by these higher-level departments or experts, providing further technical guidance and correction, thereby improving and controlling the quality of ECMO care.

[0007] In view of the deficiencies of the prior art, the present invention provides a quality control device for ECMO care, which at least includes a server and a monitoring unit. Among them, the server at least includes a processing unit for quality control in nursing work; the processing unit is configured to: when medical staff perform nursing work in the usage scenario of the ECMO device, and the acquisition component of the monitoring unit sends the collected operation parameters of the ECMO device and the physiological parameters of the patient to the processing unit, establish a part parameter model corresponding to the patient's body part and physiological parameters based on the time axis and the patient's body part; the processing unit adjusts the operation parameters of the ECMO device through the part parameter model, and the processing unit generates an auxiliary adjustment operation performed by the medical staff based on the determination of the adjustment and in combination with the medical database. The present invention fully considers the objective indicators of the use of the ECMO device, including its usage scenario, quality detection points, etc., to ensure that medical staff can easily and efficiently perform nursing work according to the instructions of the server or correction prompts, effectively solving the problems in current nursing quality control, such as the lack of experienced medical staff, the high cost of full-process monitoring, and the delay in data transmission resulting in the final ECMO treatment not achieving the optimal treatment effect.

[0008] According to a preferred embodiment, the camera component of the monitoring unit is arranged in the scenario where the ECMO device is used and sends the usage scenario image to the processing unit. Among them, the processing unit identifies the usage scenario and processes the image collected by the camera component based on the ECMO device under the preset usage scenario. At least one group of the camera components is arranged in the usage scenario in such a way that the image acquisition range of the camera component covers the ECMO device and the patient's body part. The above camera component can be a camera supporting the ECMO device or a camera of a smart device carried by medical staff, so as to monitor the ECMO device and the patient's body part at any time and any place. The processing unit starts from the global time period when the patient uses the ECMO device, obtains the operation status of the ECMO device and the operation mode of the medical staff through the monitoring unit 2, so as to control the operation parameters and / or remotely guide the medical staff, in order to improve the quality of ECMO care and achieve the purpose of reducing the demand for the use of the ECMO device and monitoring the operation quality of the medical staff.

[0009] According to a preferred embodiment, the processing unit obtains the key time points for adjustment of the patient's body parts through the site parameter model, and further selects the generated adjustment operations and nursing opinions through high-frequency adjustment or segmented adjustment. High-frequency adjustment refers to the processing unit changing the adjustment frequency of ECMO device parameters when operating parameters are abnormal and / or approaching key adjustment time points. Segmented adjustment refers to the processing unit changing the adjustment precision of ECMO device parameters in different regions based on the proximity of key adjustment time points. This invention, through the processing unit's parameter regulation of key patient sites and key time points, enables medical personnel with varying levels of knowledge to improve patient cure rates and reduce their workload with the help of automatic regulation and prompts.

[0010] According to a preferred embodiment, when abnormal ECMO device operating parameters occur and / or the patient is approaching a critical adjustment time point during ECMO device use, the processing unit selects a nursing plan that can improve the patient's cure rate, or re-formulates the nursing plan, at least by adjusting parameters in a manner consistent with the patient's disease progression stage. The processing unit is further configured to: determine the parameters requiring adjustment when the processing unit acquires the ECMO device operating parameters collected by the acquisition component and / or when the processing unit determines that the patient's condition has reached a critical time point; adjust the real-time operating parameters of the ECMO device according to the determined parameters requiring adjustment and provide auxiliary nursing prompts to medical staff to achieve the requirements of the nursing plan. This invention, based on relevant historical data and / or expert advice data retrieved from a medical database, derives an adjustment and nursing plan suitable for the real-time use of the ECMO device, and then provides parameter adjustment and control schemes and provides prompts to medical staff for auxiliary adjustment operations.

[0011] According to a preferred embodiment, the processing unit generates a real-time image model for the usage scenario based on images acquired by several camera components. The processing unit compares the real-time image model with an image quality model established using pre-collected expert advice, nursing image data, and nursing plans. If differences exist between the two models, images in the real-time image model that cannot match the image quality model are marked. Based on the marked images, the processing unit retrieves stored data from the corresponding camera components and acquisition components from the previous moment to display and prompt relevant analysis results, adjustment parameters, and nursing plans to medical staff. This facilitates medical staff's understanding of the ECMO device and the patient's physiological progress, avoids potential nursing adjustment errors, and takes hazard mitigation measures.

[0012] According to a preferred embodiment, the comparison between the real-time image model and the image quality model refers to: extracting keyframes from the image through the processing unit, and obtaining a result by comparing the images of key parts on the keyframes to determine their conformity. Specifically, the processing unit performs grayscale and binarization processing on the extracted keyframes to extract the images of key parts on the keyframes. The processing unit then compares the processed key part images of the real-time image model with the key part images of the image quality model. If the absolute value of the compared feature values ​​is less than a preset threshold, the image is determined to be free of anomalies; if the absolute value of the compared feature values ​​is greater than the preset threshold, the image is determined to have anomalies. This invention, on the one hand, utilizes acquisition components to monitor and adjust the operating parameters of the ECMO device and the patient's vital signs; on the other hand, it performs quality supervision of actual images on-site, including quality control and correction of nursing operations by medical staff and image anomalies of the ECMO device, thereby improving the accuracy and cure rate of the ECMO device.

[0013] According to a preferred embodiment, the processing unit establishes several quality detection points in the real-time image model; the processing unit controls several camera components to perform high-precision image acquisition of the usage scene at least before, during, and after the quality detection points, and generates keyframes corresponding to the quality detection points. This device manages the quality of medical personnel's operation processes and methods for different applications of ECMO equipment, and sets several quality detection points to adjust the control parameters of the ECMO equipment and prompt medical personnel based on the images acquired by the camera components and the physiological parameters acquired by the acquisition components when quality control is needed and / or when problems occur, thereby achieving the best treatment effect and avoiding danger. This device not only has the advantages of controlling the nursing process and ensuring treatment efficiency, but also improves and reduces data transmission and processing volume, reduces workload, and meets the high-efficiency and highly professional requirements of ECMO equipment.

[0014] According to a preferred embodiment, the processing unit uses the current time point as a quality detection point based on the active activation behavior of medical staff to control several camera components to acquire high-precision images at and after the quality detection point, and generates keyframes corresponding to the quality detection point. When the processing unit determines that the image at the quality detection point is abnormal, it updates the pre-established image quality model and quality detection point using the quality detection point, enabling the updated image quality model to provide feedback on similar quality detection points, thereby adding similar quality detection points in subsequent nursing procedures. This invention improves quality control capabilities during ECMO nursing through parameter anomaly adjustment, image anomaly feedback, and active activation by medical staff. The ECMO nursing quality control device is used for both ECMO equipment operating parameter adjustment and image recording and anomaly detection, comparing and judging related images to form a multi-faceted quality control system within the ECMO equipment usage scenario. In particular, the high-precision acquisition after combining quality detection points significantly reduces data processing volume and computational costs.

[0015] This invention also relates to a method for quality control in ECMO nursing care, the method comprising at least: when medical staff perform nursing work in the context of ECMO device use, and the acquisition component of the monitoring unit sends the acquired ECMO device operating parameters and patient physiological parameters to the processing unit, establishing a site parameter model corresponding to the patient's body parts and physiological parameters based on a time axis and patient body parts; the processing unit adjusting the ECMO device operating parameters through the site parameter model; and the processing unit generating auxiliary adjustment operations and nursing opinions performed by medical staff based on the determined adjustment and in conjunction with a medical database.

[0016] According to a preferred embodiment, the method further includes: the camera component of the monitoring unit is set in the scene where the ECMO device is used, and sends the scene image to the processing unit, wherein the processing unit identifies the scene and processes the image captured by the camera component based on the ECMO device in the preset scene, and at least one group of the camera components is set in the scene such that the image acquisition range of the camera component covers the ECMO device and the patient's body parts. Attached Figure Description

[0017] Figure 1 This is a simplified module connection diagram of a preferred embodiment of the ECMO nursing quality control device provided by the present invention;

[0018] Figure 2This is a simplified schematic diagram illustrating a preferred embodiment of the ECMO nursing quality control device provided by the present invention.

[0019] List of reference numerals

[0020] 1: Server; 2: Monitoring unit; 3: Processing unit; 4: Camera component; 5: Acquisition component. Detailed Implementation

[0021] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] The following is a detailed explanation with reference to the accompanying drawings.

[0023] Server: Any type of computer or processing system, including but not limited to mobile terminals, personal computers (PCs), personal digital assistants (PDAs), mainframe computers, network devices, systems or combinations of devices having a database capable of storing and processing patient information. It is broadly defined to encompass any device or combination of devices having at least one processor that executes instructions from a storage medium.

[0024] Example 1

[0025] This invention relates to a quality control device for ECMO care. Specifically, it relates to a care quality control device for monitoring the operation of ECMO equipment and on-site images. More specifically, this invention relates to an apparatus, system, and method for improving care quality, efficiency, and treatment planning by using an ECMO equipment operating parameter acquisition component 5 and a camera component 4 based on different on-site arrangements to monitor the ECMO equipment, patients, and medical staff in real time. The camera component 4 and acquisition component 5 used in this invention include, but are not limited to, wireless devices and devices that may include wireless features.

[0026] Traditional ECMO devices are extracorporeal life support devices that replace the patient's normal lung function, allowing the lungs to rest fully. Existing technologies typically rely on the expertise of medical staff to adjust the operating parameters of the ECMO device. However, due to varying levels of expertise among medical personnel, optimal adjustments cannot always be achieved. This invention achieves automatic adjustment through monitoring the ECMO device, with assisted adjustments by medical staff. By reducing data transmission, it sends on-site information to higher-level departments or experts for guidance and prompts. Remote auxiliary control is then implemented based on the standards set by these higher-level departments or experts, providing further technical guidance and correction, thereby improving and controlling the quality of ECMO care.

[0027] To address the aforementioned problems, the present invention aims to provide a quality control device for ECMO nursing care. This device manages the quality of medical personnel's operational processes and methods in different applications of ECMO equipment. It sets up several quality detection points to adjust the control parameters of the ECMO equipment and prompt medical personnel based on images acquired by camera component 4 and physiological parameters acquired by acquisition component 5 when quality control is needed or when problems occur, thereby achieving optimal treatment results and avoiding dangers. This device not only has the advantages of controlling the nursing process and ensuring treatment efficiency, but also improves and reduces data transmission and processing volume, reduces workload, and meets the high-efficiency and highly professional requirements of ECMO equipment use.

[0028] Preferably, the methods and devices of the present invention can utilize wireless devices in several embodiments, including wireless terminals applied to Server 1, etc., to automatically and continuously monitor the usage scenarios and processes of ECMO devices. The objective of the present invention is to provide an ECMO care quality control device that can perform care work with high efficiency, high precision, and low requirements for work experience even in different usage scenarios such as wards, emergency rooms, ambulances, etc. Preferably, the device includes Server 1 and a monitoring unit 2. Preferably, Server 1 includes a processing unit 3 for quality control in care work. Preferably, the monitoring unit 2 includes a camera component 4 and a collection component 5. Preferably, starting from the global time period when a patient uses an ECMO device, the processing unit 3 obtains the operating status of the ECMO device and the operation methods of medical staff through the monitoring unit 2, thereby controlling the operating parameters and / or remotely guiding the medical staff to improve the quality of ECMO care and achieve the objectives of reducing the usage requirements of ECMO devices and monitoring the operation quality of medical staff. The present invention fully considers the objective indicators for the use of ECMO devices, including their usage scenarios, quality detection points, etc., to ensure that medical staff can easily and efficiently carry out care work according to the instructions or correction prompts of Server 1, effectively solving the problems in current care quality control, such as the lack of experienced medical staff, the high cost of full-process monitoring, and the delay in data transmission resulting in the final ECMO treatment not achieving the optimal treatment effect.

[0029] The processing unit 3 involved in the present invention refers to a data processor that can execute its related steps, which can be hardware, software, or a combination. The method steps corresponding to a certain unit can also be split into multiple method steps and executed by multiple units respectively. Without causing conflicts or contradictions, the whole and / or part of the preferred implementation manners of other embodiments can be used as a supplement to this embodiment.

[0030] According to a preferred implementation manner, the camera component 4 is arranged in the scenario where the ECMO device is used and sends the usage scenario image to the processing unit 3. Preferably, the processing unit 3 identifies the usage scenario and processes the image based on the preset ECMO device in this usage scenario. Preferably, at least one group of camera components 4 is arranged in the usage scenario in such a way that the image acquisition range of the camera component 4 covers the ECMO device and the patient's body part. The above camera component 4 can be a camera supporting the ECMO device or a camera of a smart device carried by medical staff, for monitoring the ECMO device and the patient's body part at any time and any place. Preferably, the smart device carried by medical staff can have an APP to call the camera of the smart device for image acquisition and transmission.

[0031] According to a preferred embodiment, the acquisition component 5 is connected to the ECMO device. Preferably, the processing unit 3 records the parameters of the ECMO device during operation acquired by the acquisition component 5. These ECMO device operating parameters include at least: arterial / venous oxygen saturation, hematocrit, blood flow rate, the dosage and rate of automatic drug injection by the pump, and oxygen concentration. It should be noted that, in addition to the aforementioned parameters, the parameters acquired by this invention can also include other data from the real-time operation of the ECMO device and related data such as gas flow rate and pressure. Preferably, the processing unit 3 is further configured to: when medical personnel perform corresponding nursing work in the ECMO device usage scenario, and the acquisition component 5 sends the acquired parameters to the processing unit 3, establish a site parameter model corresponding to the patient's body parts and physiological parameters based on the time axis and the patient's body parts; the processing unit 3 adjusts the operating parameters of the ECMO device using this site parameter model; and based on this adjustment and in conjunction with a medical database, the processing unit 3 generates auxiliary adjustment operations and nursing opinions for medical personnel; wherein the processing unit 3 establishes the accuracy of the adjustment at least by accessing a medical database and / or transmitting it to a higher-level department. Preferably, the processing unit 3 obtains the time points when the patient's body part needs to be adjusted by using a site parameter model, and further selects the generated adjustment operations and nursing opinions through high-frequency adjustment or segmented adjustment. The aforementioned site parameter model refers to a model of parameter changes in the parts of the body that require close attention during ECMO care. The parts that require close attention include at least: the neck insertion point, the femoral exit point, and the membrane lung. It should be noted that these parts include not only parts of the patient's body but also key parts of the ECMO device, such as the pre-pump blood collection point and tubing. The aforementioned time points when the patient needs to adjust these parameters refer to the time points in the nursing process that require focused quality control and / or are closely related to improving treatment effectiveness, such as the time points for adjusting drug dosage and injection rate, oxygen concentration and gas flow rate, blood flow rate, and the execution status of each port of the ECMO device. In this invention, parameter control is a very important technical means to improve the cure rate, especially in the nursing work of medical staff, particularly in the care of real-time ECMO devices that require high precision and high efficiency. This invention uses processing unit 3 to adjust parameters for key areas and key time points of the patient, enabling medical staff with different levels of knowledge to improve the cure rate of patients and reduce the workload of medical staff with the help of automatic control and prompts.Compared to existing technologies that require medical staff to constantly monitor patients' physiological data and combine this with blood gas analysis to assess the patient's current condition and make real-time adjustments, especially for critically ill patients using ECMO devices, which need to be used continuously for tens of days or even hundreds of days, and whose physical condition is constantly changing, requiring medical staff to make corresponding adjustments and treatments in real time, this invention greatly reduces the workload of medical staff, prevents the patient's condition from deteriorating due to delays, and solves the problem of inconsistent adjustment and treatment effects caused by the lack of experience among medical staff.

[0032] Specifically, for example, when abnormal ECMO device operating parameters occur during patient use and / or when a critical adjustment time point is approaching, processing unit 3 selects a nursing plan that can improve the cure rate, or re-formulates the nursing plan, at least in accordance with the adjustment plan for that stage. This reselection or reconstruction of the nursing plan allows the parameters that need adjustment to be adjusted according to the patient's current condition to be quickly adjusted to normal, thereby improving treatment efficiency. Preferably, when processing unit 3 acquires the ECMO device operating parameters collected by acquisition component 5 and / or when processing unit 3 determines that the patient's condition has reached a critical time point, it determines the parameters that need adjustment; based on the determined parameters that need adjustment, it adjusts the real-time operating parameters of the ECMO device and provides auxiliary nursing prompts to medical staff to achieve the requirements of the nursing plan. The aforementioned nursing plan refers to the corresponding adjustment rules for each parameter that needs to be performed. The nursing plan can be preset into a medical database, which includes nursing plans related to coagulation time and drug dosage and rate, nursing plans related to blood gas parameters and oxygen concentration and flow rate, etc. The medical database stores knowledge, data, relevant nursing experience proposed by experts, and operational prompts derived from relevant nursing experience related to ECMO devices. In several uses of the ECMO nursing quality control device, the medical database also stores knowledge representations, weights, and ECMO device usage and nursing plans obtained from long-term practical work by medical staff. Processing unit 3 controls the operation of each actuator of the ECMO device based on the nursing plan. This invention retrieves relevant historical data and / or expert advice data from the medical database to derive an adjustment and nursing plan suitable for the real-time use of the ECMO device, thereby providing parameter adjustment and control schemes and prompting medical staff to perform auxiliary adjustment operations.

[0033] According to a preferred embodiment, the processing unit 3 further selects the generated adjustment operations and nursing opinions through high-frequency adjustment or segmented adjustment. Preferably, the processing unit 3 changes the adjustment frequency of the ECMO device parameters when the operating parameters are abnormal and / or close to a key adjustment time node, or the processing unit 3 changes the adjustment precision of the ECMO device parameters in different regions based on the proximity to the key adjustment time node. For example, if the ECMO device or the patient's vital signs become abnormal and / or the time is close to a key time node in the nursing process during the patient's use of the ECMO device, the processing unit 3 correspondingly increases the adjustment frequency of the nursing plan to complete the nursing quality control of the ECMO device with high precision in the above situation. Through the above preferred embodiment of the present invention, before and during the time when the ECMO device or the patient's vital signs become abnormal and / or the time is close to a key time node in the nursing process, before and during the time when the processing unit 3 performs the pre-determined adjustment of each execution device of the ECMO device based on the nursing plan by the server 1, the processing unit 3 adjusts the ECMO device parameters at a high frequency. This is particularly beneficial for remote experts or higher-level departments to retrieve and view the status of the ECMO device operating parameters before and during the adjustment using devices such as smart devices from the server 1. Processing unit 3 adjusts ECMO device parameters only within specific time periods, thus achieving parameter adjustments with low transmission volume and low computational cost. This avoids the high computational load and subsequent delays caused by adjusting ECMO device parameters throughout the entire process. The variability of ECMO device usage scenarios leads to unstable network communication. Therefore, performing adjustments at critical time points significantly reduces data processing and transmission volume. In particular, applying the calculation process to processing unit 3 while only transmitting the specific data required for adjustment is a crucial technical approach.

[0034] The aforementioned segmented adjustment refers to dividing the time before, during, and after the key adjustment time node into several time periods, and using different frequencies and precisions of adjustment within each time period. This allows the processing unit 3 to perform corresponding adjustments based on the weights required for parameter adjustment within each time period. Preferably, the processing unit 3 divides the time before, during, and after the key adjustment time node into several time periods. Preferably, the processing unit 3 adjusts several parameters of the ECMO device at different frequencies and with different precisions within each time period, based on the weights of ECMO device parameter adjustment and the divided time periods. For example, patient physiological parameters and drug dosage and injection rate adjustment schemes have higher weights, so these types of parameters are adjusted preferentially within each time period. The aforementioned frequency division refers to the adjustment process at different frequencies based on the different weights of various parameters. The aforementioned precision division refers to adjusting with high or low precision based on the different physiological conditions of the patient represented by various parameters at different stages of disease development. The reason for having low-precision adjustment is that certain parameters, such as blood gas parameters, are difficult to detect and have low precision. Low precision can also provide the remaining computing power saved to the calculation of parameters that require high precision, reducing the amount of data calculation and latency, and preventing data redundancy.

[0035] In this invention, when approaching critical time points, while the processing unit 3 provides intuitive displays to on-site medical personnel via corresponding display modules, it is often necessary for medical personnel to report to higher-level departments and / or consult experts to determine emergency measures. Since there are numerous ECMO device parameters on-site, if the parameter changes of the relevant ECMO devices cannot be reported quickly and with low transmission volume, it is difficult for higher-level departments or experts to provide corresponding decision-making solutions remotely. Utilizing the aforementioned design scheme of this invention, high-frequency adjustment and / or segmented adjustment are used to regulate the parameters of each actuator of the ECMO device. Adjustment is only performed when operating parameters are abnormal and / or near key adjustment time points; real-time monitoring is conducted during other time periods, rather than continuous adjustment. This achieves the transmission of specific data requiring adjustment at specific times, reducing data processing and transmission volume, enabling higher-level departments or experts to make rapid and accurate decisions.

[0036] According to a preferred embodiment, the processing unit 3 generates a real-time image model for the usage scenario based on images acquired by a plurality of camera components 4. The camera components 4 can monitor areas of the patient requiring close attention and the tubing and / or ports of the ECMO device. Preferably, the processing unit 3 compares the real-time image model with an image quality model established using pre-collected expert advice, nursing image data, and nursing plans, and marks images in the real-time image model that cannot match the image quality model if differences exist between the two models. The aforementioned real-time image model and image quality model can be derived by the processing unit 3 through training the acquired images or pre-collected data using a convolutional neural network. Preferably, the processing unit 3 compares the previously acquired data from the plurality of camera components 4 and acquisition components 5 with the image quality model to analyze potential parameter anomalies in the ECMO device and / or the patient over time, abnormalities in medical staff operations, and nursing plans that need to address these issues. Preferably, the processing unit 3 also retrieves the data collected by the corresponding number of camera components 4 and acquisition components 5 from the previous moment based on the marked image, so as to display and prompt the relevant analysis results, adjustment parameters and nursing plans to the medical staff, thereby making it easier for the medical staff to grasp the progress of the ECMO equipment and the patient's physiological condition, avoid possible nursing adjustment errors, and take risk avoidance measures.

[0037] Preferably, the comparison between the real-time image model and the image quality model refers to: extracting keyframes from the image through the processing unit 3, and drawing corresponding conclusions by comparing the images of key parts on the keyframes. The keyframes are, for example, a frame or segment of an image showing medical personnel performing actual operations. The key parts include the patient's membrane lung features, light characteristics, and shadow characteristics. For example, in actual operations, when medical personnel need to check for blood clots in the patient's membrane lung, they need to use a light-emitting device to irradiate the patient's membrane lung. The camera component 4 acquires this image, and the processing unit 3 determines whether the irradiation angle and operation of the medical personnel in the image conform to nursing operation standards, to determine whether the medical personnel have fully observed the blood clots present in the membrane lung, avoiding misjudgments due to irradiation angle and operation issues, and providing a prompt to the medical personnel. This prompt includes audio playback and / or image flashing using an audio module or display module. Preferably, the processing unit 3 performs grayscale and binarization processing on the extracted keyframes and thereby extracts the images of key parts on the keyframes. Preferably, the processing unit 3 compares the key part images of the processed real-time image model with the key part images of the image quality model. If the absolute value of the compared feature value is less than a preset threshold, it is determined that there is no abnormality in the image at that location. If the absolute value of the compared feature value is greater than the preset threshold, it is determined that there is an abnormality in the image at that location. This invention, on the one hand, utilizes the acquisition component 5 to monitor and adjust the operating parameters of the ECMO device and the patient's vital signs; on the other hand, it performs quality supervision of the actual images on site, including quality control and correction of nursing operations by medical staff and image abnormalities of the ECMO device, thereby improving the accuracy and cure rate of the ECMO device.

[0038] According to a preferred embodiment, the processing unit 3 generates a real-time image model for the usage scenario based on images acquired by several camera components 4, and establishes several quality detection points in the real-time image model. These quality detection points refer to the time points in the ECMO care process that the processing unit 3 determines require focused quality control. Preferably, the processing unit 3 controls several camera components 4 to perform high-precision image acquisition of the site at least before, during, and after the quality detection point, and generates keyframes corresponding to the quality detection point. Preferably, the processing unit 3 controls the camera components 4 to perform high-precision image acquisition at the moment before, the current moment, and the moment after the quality detection point. Because the comprehensive and high-definition image acquisition of the site by the camera components 4 results in a large amount of data transmission and processing, and the variability of ECMO device usage scenarios necessitates specific data reduction requirements for its data processing; otherwise, the network environment and data processing environment of a specific site cannot handle the large amount of data transmission and processing work. The processing unit 3 of this invention controls the camera component 4 to perform high-precision image acquisition at least before, during, and after a preset quality detection point, thereby concentrating computing power on the time point near the quality detection point, achieving precise quality control and data processing with a significantly reduced order of magnitude. ECMO devices for critically ill patients are often used for tens of days, making it difficult for the camera component 4 and processing unit 3 to maintain high-precision operation for extended periods. Even if they do maintain this state, there is still significant latency in processing data of this magnitude. Therefore, this invention sets several quality detection points to precisely control the time domain that requires focused attention during ECMO care.

[0039] Furthermore, medical staff can judge whether there are any abnormalities in the device based on their personal experience. They can also actively activate the processing unit 3 to report abnormalities to the server 1. This allows the processing unit 3 to control several camera components 4 to acquire high-precision images of the current time point and subsequent times, based on the medical staff's active activation. Preferably, the processing unit 3 can also retrieve data from the previous moment acquired by the several camera components 4 and the acquisition component 5 at that time point. Preferably, the processing unit 3 controls several camera components 4 to acquire high-precision images of the scene based on the medical staff's active activation and generates keyframes corresponding to that time point. Preferably, when the processing unit 3 determines that an image matching a certain nursing abnormality exists at that point, it determines that an abnormality has occurred in the nursing process, prompting the medical staff. The processing unit 3 then uses this time point to update the pre-established image quality model and several quality detection points, enabling the updated image quality model to respond to similar time points, thus adding similar quality detection points in subsequent nursing processes. Compared to existing technologies, this invention improves quality control during ECMO care by adjusting abnormal parameters, providing feedback on image anomalies, and enabling proactive activation by medical staff. The ECMO care quality control device is used for both adjusting ECMO equipment operating parameters and recording and identifying anomalies in images. It also compares and contrasts relevant images, thus forming a multi-faceted quality control system within the ECMO equipment usage scenario. In particular, the high-precision acquisition achieved through the integration of quality detection points significantly reduces data processing volume and computational costs. Existing ECMO equipment care quality control lacks dual judgment of parameters and images, as well as emergency care guidance information for unexpected situations. As the ECMO care process continues and patient vital signs change, the factors that could lead to quality problems increase. Existing quality control devices struggle to accurately judge and alert, and the large amount of data required for processing makes it difficult for medical staff to respond quickly. Furthermore, these devices are limited by network conditions. Here, medical staff can proactively activate the device, combining its judgment with human-computer interaction to improve the accuracy and real-time nature of quality control during the care process.

[0040] Throughout the text, the features indicated by “preferred” are only optional and should not be construed as mandatory. Therefore, the applicant reserves the right to abandon or delete the relevant preferred features at any time.

[0041] It should be noted that the specific embodiments described above are exemplary. Those skilled in the art can devise various solutions inspired by the disclosure of this invention, and these solutions all fall within the scope of this invention and its protection. Those skilled in the art should understand that this specification and its accompanying drawings are illustrative and not intended to limit the scope of the claims. The scope of protection of this invention is defined by the claims and their equivalents. This specification contains multiple inventive concepts; terms such as "preferredly," "according to a preferred embodiment," or "optionally" indicate that the corresponding paragraph discloses an independent concept. The applicant reserves the right to file divisional applications based on each inventive concept.

Claims

1. A quality control device for ECMO care, characterized in that, It includes a server (1) and a monitoring unit (2). The server (1) includes a processing unit (3) for quality control in nursing work. The camera component (4) of the monitoring unit (2) is set in the scene where the ECMO device is used, and sends the scene image to the processing unit (3). The processing unit (3) generates a real-time image model of the scene based on the images collected by the camera component (4), and establishes several quality detection points in the real-time image model. The processing unit (3) is configured to: when medical staff are performing nursing work in the scenario of ECMO equipment use, and the acquisition component (5) of the monitoring unit (2) sends the collected ECMO equipment operating parameters and patient physiological parameters to the processing unit (3), establish a site parameter model corresponding to the physiological parameters and patient body parts based on the time axis and patient body parts. The site parameter model refers to the parameter change model of the parts that the patient needs to pay attention to during ECMO nursing. The parts that the patient needs to pay attention to include: neck entry position, thigh exit position, membrane lung, pre-pump blood collection position and tubing. The processing unit (3) adjusts the operating parameters of the ECMO device through the site parameter model. The processing unit (3) generates auxiliary adjustment operations to be performed by medical staff based on the determination of the adjustment and in combination with the medical database. The processing unit (3) obtains the time points when the patient's body parts need to be adjusted by the site parameter model, and selects the generated auxiliary adjustment operations by means of high-frequency adjustment or segmented adjustment. The high-frequency adjustment refers to the processing unit (3) changing the adjustment frequency of the ECMO device parameters when the operating parameters are abnormal and / or close to the key adjustment time points. The segmented adjustment refers to the processing unit (3) changing the adjustment precision of the ECMO equipment parameters in different regions based on the situation near the key adjustment time node.

2. The ECMO nursing quality control device according to claim 1, characterized in that, The processing unit (3) identifies the usage scenario and processes the images acquired by the camera component (4) based on the ECMO device under the preset usage scenario. At least one set of the camera components (4) is set in the usage scenario in such a way that the image acquisition range of the camera components (4) covers the ECMO device and the patient's body parts.

3. The ECMO nursing quality control device according to claim 1, characterized in that, In the event of abnormal ECMO device operating parameters and / or nearing the critical adjustment time point when the patient is using ECMO device, the processing unit (3) shall at least select a nursing plan that can improve the patient's cure rate in a manner that conforms to the adjustment parameters of the patient's disease development stage, or reformulate the nursing plan. The processing unit (3) is further configured to: When the processing unit (3) acquires the ECMO device operating parameters collected by the acquisition component (5) and / or when the processing unit (3) determines that the patient's condition has reached an important time node, it determines the parameters that need to be adjusted; based on the determined parameters that need to be adjusted, it adjusts the real-time operating parameters of the ECMO device and provides nursing care tips to medical staff to achieve the requirements of the nursing plan.

4. The ECMO nursing quality control device according to claim 1, characterized in that, The processing unit (3) compares the real-time image model with an image quality model established using pre-collected expert advice, nursing image data, and nursing plans, and marks the images in the real-time image model that cannot be matched with the image quality model when there are differences between the two models.

5. The ECMO nursing quality control device according to claim 4, characterized in that, The comparison between the real-time image model and the image quality model refers to: extracting key frames from the image by the processing unit (3), and obtaining the result by comparing the image conformity of the key parts on the key frames. The processing unit (3) performs grayscale and binarization processing on the extracted key frames and thereby extracts the images of the key parts on the key frames. The processing unit (3) compares the key part image of the processed real-time image model with the key part image in the image quality model. If the absolute value of the compared feature value is less than a preset threshold, it is determined that the image does not have any abnormality; if the absolute value of the compared feature value is greater than the preset threshold, it is determined that the image has an abnormality.

6. The ECMO nursing quality control device according to claim 5, characterized in that, The processing unit (3) controls several camera components (4) to perform high-precision image acquisition of the usage scene at least before, during and after the quality detection point, and generates keyframes corresponding to the quality detection point.

7. The ECMO nursing quality control device according to claim 6, characterized in that, The processing unit (3) uses the current time point as a quality detection point based on the active activation behavior of medical staff to control several camera components (4) to acquire high-precision images at and after the quality detection point, and generates keyframes corresponding to the quality detection point. When the processing unit (3) determines that there is an anomaly in the key frame at the quality detection point, the processing unit (3) uses the quality detection point to update the pre-established image quality model and quality detection point, so that the updated image quality model can provide feedback on similar quality detection points, thereby adding similar quality detection points in the subsequent nursing process.

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