Quality control management method, server, system and storage medium

Abstract

This application discloses a quality control management method for medical devices, a quality control management server, a quality control management system, and a computer-readable storage medium. The method comprises: obtaining quality control data sent by the medical device; determining the quality control status of the medical device based on the quality control data; and when the quality control status meets preset requirements, analyzing the quality control parameters of the medical device to obtain a quality control analysis result; wherein the quality control parameters include at least device parameters and environmental parameters of the medical device. In this way, quality control analysis of the medical device can be performed.

Description

Technical Field

[0001] The present application relates to the technical field of quality control management, and in particular to a quality control management method for medical equipment, a quality control management server, a quality control management system, and a computer-readable storage medium. Background Art

[0002] In the medical industry, equipment quality control operations are a very important part of its use. Although automated quality control has basically been achieved, it is impossible to accurately determine the specific cause of abnormal quality control status that occurs during automated quality control. It usually takes a lot of manpower and time to complete, resulting in low efficiency of the entire quality control operation. Summary of the Invention

[0003] In order to solve the above problems, the present application provides a quality control management method for medical equipment, a quality control management server, a quality control management system and a computer-readable storage medium, which can perform quality control analysis on medical equipment.

[0004] In order to solve the above technical problems, a technical solution adopted in this application is: to provide a quality control management method for medical equipment, which is applied to a server, and the server establishes a communication connection with multiple medical devices. The method includes: obtaining quality control data sent by the medical equipment; determining the quality control status of the medical equipment based on the quality control data; when the quality control status meets the preset requirements, analyzing the quality control parameters of the medical equipment to obtain quality control analysis results; wherein, the quality control parameters include at least the equipment parameters and environmental parameters of the medical equipment.

[0005] Among them, obtaining the quality control data sent by the medical device includes: obtaining the quality control data, statistical data and correction data sent by the medical device; among them, the statistical data is obtained by the medical device collecting statistics on the quality control data, and the correction data is obtained by the user adjusting the statistical data.

[0006] Among them, the quality control status includes under control, out of control and uncontrolled; when the quality control status meets the preset requirements, the quality control parameters of the medical equipment are analyzed to obtain the quality control analysis results, including: when the quality control status is out of control, the quality control parameters of the medical equipment are analyzed to obtain the quality control analysis results.

[0007] Among them, analyzing the quality control parameters of the medical equipment to obtain the quality control analysis results includes: obtaining the quality control parameters of the medical equipment; wherein the quality control parameters include equipment parameters and environmental parameters, the equipment parameters include at least one of the type, model, working hours, and quality control mode of the medical equipment, and the environmental parameters include at least one of the area, medical institution, and interference conditions of the medical equipment; analyzing the quality control parameters according to preset rules to obtain the quality control analysis results.

[0008] Among them, the quality control parameters are analyzed according to preset rules, including: obtaining the analysis sample setting method; if the analysis sample is a default analysis sample, the quality control parameters are analyzed according to the default analysis sample; if the analysis sample is an associated analysis sample, the quality control parameters are analyzed according to the analysis sample associated with the medical device.

[0009] Among them, the quality control parameters are analyzed according to preset rules, including: determining whether the medical device has associated analysis samples; if so, analyzing the quality control parameters according to the analysis samples associated with the medical device; otherwise, analyzing the quality control parameters according to the default analysis samples.

[0010] The method further includes: obtaining the geographic location of each medical device; establishing a quality control map based on the geographic location, and marking the location of each medical device on the quality control map based on each geographic location; wherein the marking method of the location is determined based on the quality control status of each medical device.

[0011] To solve the above technical problems, another technical solution adopted in this application is: to provide a quality control management server, which includes: a communication module for establishing a communication connection with the medical device; a memory for storing computer programs; a processor, connecting the communication module and the memory, for executing the computer program to implement the above method.

[0012] In order to solve the above technical problems, another technical solution adopted in this application is: to provide a quality control management system, which includes: multiple medical devices, each medical device is equipped with a communication module; and a quality control management server connected to multiple medical devices.

[0013] In order to solve the above technical problems, another technical solution adopted in this application is: providing a computer-readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, it is used to implement the above method.

[0014] The beneficial effects of the embodiments of the present application are as follows: Unlike the prior art, the quality control management method provided by the present application obtains quality control data sent by medical equipment through a communication connection, determines the quality control status of the medical equipment, and further analyzes the quality control parameters of the medical equipment when the quality control status of the medical equipment meets the preset requirements, thereby obtaining a quality control analysis result corresponding to the quality control status. In this way, on the one hand, the quality control analysis of the medical equipment can be completed online, thereby improving the efficiency of the quality control work. On the other hand, the quality control analysis results can be determined based on the quality control parameters of the medical equipment, thereby optimizing the medical equipment and improving the stability of the medical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without inventive efforts. Among them:

[0016] Figure 1 This is a flow chart of an embodiment of a quality control management method for medical equipment provided by the present application;

[0017] Figure 2 This is a flow chart of another embodiment of a quality control management method for medical equipment provided by the present application;

[0018] Figure 3 It is a quality control diagram provided by this application;

[0019] Figure 4 yes Figure 2 Specific process diagram of S24;

[0020] Figure 5 yes Figure 2 Specific process diagram of S24;

[0021] Figure 6 It is a schematic diagram of the quality control map provided by this application;

[0022] Figure 7 This is a structural diagram of an embodiment of a quality control management server provided by this application;

[0023] Figure 8 This is a schematic diagram of the structure of an embodiment of the quality control management system provided by this application;

[0024] Figure 9 It is a structural diagram of an embodiment of a computer-readable storage medium provided by this application. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It will be understood that the specific embodiments described herein are only used to explain the present application, rather than to limit the present application. It should also be noted that, for ease of description, only some, rather than all, structures related to the present application are shown in the drawings. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0026] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0027] See Figure 1 , Figure 1 This is a flow chart of an embodiment of a quality control management method for medical devices provided by the present application. The method is applied to a server, and the server establishes a communication connection with multiple medical devices. The method of this embodiment specifically includes:

[0028] S11: Obtain quality control data sent by medical equipment.

[0029] Among them, medical equipment may include equipment used for treatment and diagnosis, such as immunoassay analyzers, biochemical analyzers, electrocardiographs, electroencephalographs, ventilators, anesthesia machines and other equipment. In some other embodiments, medical equipment may also include medical laboratory supplies, hospital supplies and any other drug samples or products that require quality control monitoring.

[0030] Among them, quality control data can be the actual numerical value or deviation value of the quality parameters of the medical device, etc., which is collected through active transmission or passive acquisition of the medical device, and the specific acquisition method is not limited here and should belong to the conventional means in this field.

[0031] S12: Determine the quality control status of the medical equipment based on the quality control data.

[0032] In this embodiment, the quality control data of the medical device can be summarized and analyzed according to the Westgard rule and / or the 6-Sigma rule to generate a certain form of data summary information, thereby determining the quality control status of the corresponding medical device.

[0033] Among them, the quality control status can include the controlled state, the out-of-control state and the uncontrolled state. The controlled state indicates that the medical device currently has a certain stability, the out-of-control state indicates that the medical device has an abnormality and the user needs to adjust its settings. The uncontrolled state means that the server side has not obtained the quality control data sent by the medical device, and thus cannot determine the effective quality control status.

[0034] S13: When the quality control status meets the preset requirements, the quality control parameters of the medical equipment are analyzed to obtain quality control analysis results.

[0035] Among them, the quality control parameters include at least the equipment parameters and environmental parameters of the medical equipment. The equipment parameters refer to some data of the medical equipment itself, such as model, type, etc., and the environmental parameters refer to some external data of the location of the medical equipment, such as ambient temperature.

[0036] It can be seen from the above steps that the corresponding quality control status can be determined based on the quality control data of the medical equipment. However, when the determined quality control status meets the preset requirements, the equipment parameters and environmental parameters of the medical equipment can be further analyzed to obtain targeted quality control analysis results, thereby finding the cause of the quality control abnormality, such as whether it is a problem with the medical equipment itself, or a problem with the software, hardware or environment, thereby effectively improving the reliability of quality control. Furthermore, corresponding solutions can be obtained based on the cause, so that the results can be directly fed back to the medical equipment user end through a communication connection for early warning prompts, so that corresponding processing can be carried out in a timely manner.

[0037] The quality control status meeting the preset requirements may refer to meeting the out-of-control state or the uncontrolled state. Corresponding preset requirements may also be set according to different rules, and there is no specific restriction.

[0038] Unlike existing technologies, the quality control management method provided in this embodiment uses a communication connection to obtain quality control data sent by medical devices, determine the quality control status of the medical devices, and further analyze the quality control parameters of the medical devices when the quality control status of the medical devices meets preset requirements, thereby obtaining a quality control analysis result corresponding to the quality control status. This method, on the one hand, can complete the quality control analysis of medical devices online, improving the efficiency of quality control work, and on the other hand, can determine the quality control analysis results based on the quality control parameters of the medical devices, thereby optimizing the medical devices and improving their stability.

[0039] See Figure 2 , Figure 2 This is a flow chart of another embodiment of a quality control management method for medical devices provided by the present application. The method is applied to a server, and the server establishes a communication connection with multiple medical devices. The method of this embodiment specifically includes:

[0040] S21: Obtain quality control data, statistical data, and correction data sent by medical equipment.

[0041] Among them, statistical data is obtained by medical equipment on quality control data, and corrected data is obtained by users adjusting the statistical data.

[0042] Specifically, statistical data includes mean and standard deviation (SD). Obtaining the mean and standard deviation of quality control data typically requires a large data set. Therefore, in this embodiment, the mean and standard deviation are calculated using quality control data from a medical device spanning more than 20 time periods. Corrected data can be obtained by adjusting the statistical data based on the operating status of the medical device by the user at the medical device end. This adjusted data more accurately reflects the actual quality control status of the medical device, thereby enabling more accurate subsequent quality control analysis.

[0043] S22: Determine the quality control status of the medical device based on the quality control data.

[0044] Optionally, when using quality control data to determine the quality control status of a medical device, since the quality control rules of the medical device corresponding to the quality control data may differ from the quality control rules stored in the local server, using the quality control rules in the server for judgment may result in large errors when confirming the quality control data. Therefore, the quality control rules corresponding to the medical device can be read and used to create a quality control diagram to judge the status of the medical device. In this way, the quality control status of the medical device can be more accurately understood, thereby understanding the user needs of the medical device, and then continuously improving and optimizing the product to make it more in line with user needs.

[0045] In some application scenarios, the quality control status of the medical device can be determined according to the LJ quality control curve generated by the Westgard rules sent by the medical device, such as Figure 3 As shown, Figure 3 This is a quality control diagram provided by the present application, which includes an upper control line (UCL), a control center line (CL) and a lower control line (LCL). The settings of the three lines in the diagram are determined by the statistical data or correction data obtained in S21, wherein the mean of the quality control data can be used as the control center line, and the positive three times and negative three times of the standard deviation of the quality control data can be used as the upper control line and the lower control line respectively, that is, +3SD as UCL, -3SD as LCL, and the horizontal axis represents time, and the vertical axis represents the standard deviation of the quality control data, thereby obtaining a quality control diagram. Among them, the setting of positive and negative three times the standard deviation can be adjusted according to actual conditions, for example, the setting of the upper and lower control lines is performed with positive and negative two times the standard deviation, etc. This is only used as an example and is not specifically limited.

[0046] Continue reading Figure 3In the example, it can be clearly seen that there is at least one point outside the range of UCL and CL corresponding to +3SD, indicating that the SD value of the quality control point is greater than 3SD, then the corresponding quality control data can be determined to be abnormal, that is, it can be determined that the medical device at the time of the quality control point is out of control; and, when there is no corresponding vertical coordinate standard deviation at a certain horizontal coordinate time point in the quality control diagram, it can be determined that the medical device at the corresponding time is in an uncontrolled state; and when there is a quality control point within the range of the upper control line and the lower control line, it can usually be determined that the medical device at the time of the quality control point is in a controlled state.

[0047] in, Figure 3 The 20 unit times are only for reference. In practice, more than 20 unit times can be counted. The statistical period of unit time can also be set. For example, reference calculation will not be performed for quality control data exceeding 100 unit times.

[0048] Among them, the rules for judging whether the medical device is out of control can be set according to actual conditions. For example, it can be that 3 consecutive points appear outside the standard deviation range, 6 consecutive points increase or decrease, or 10 consecutive adjacent points alternate up and down. This is only an example and is not specifically limited.

[0049] In this embodiment, the above-mentioned quality control diagram can be updated in real time, that is, the quality control data sent by the medical device is obtained in real time according to a certain time period, such as one day, one hour or 10 minutes. Since this embodiment establishes a communication connection with the medical device through the server, the quality control data of the medical device can be obtained more timely, and after the new quality control data is obtained, it is substituted into the above diagram for updating, so that the quality control status of the medical device at the current moment can be determined in real time, and the medical device can be monitored in real time.

[0050] In some embodiments, the proportion of quality control status can also be counted according to the quality control diagram. Specifically, the proportion of out-of-control status and uncontrolled status can be counted separately, so that users can conduct specific analysis or testing of medical equipment according to the specific situation of the proportion.

[0051] Optionally, when the quality control status of the medical device is out of control, the quality control parameters of the medical device are analyzed to obtain quality control analysis results, which can be specifically achieved through the following steps:

[0052] S23: Obtain quality control parameters of medical equipment.

[0053] Among them, quality control parameters include equipment parameters and environmental parameters. Equipment parameters include at least one of the type, model, working hours, and quality control mode of the medical equipment. Environmental parameters include at least one of the area, medical institution, and interference conditions of the medical equipment. The above parameters are only examples in this embodiment and can be set according to actual conditions.

[0054] It is understandable that medical equipment can be distributed in different medical institutions, such as hospitals (urban hospitals, rural health centers), community health centers, physical examination centers, self-service monitoring stations, etc.

[0055] Among them, device parameters refer to some data of the medical device itself, the region of the medical device indicates the region where the corresponding medical device is located. For example, the temperature in the Northeast region may cause abnormalities in the medical device. The medical institution can indicate whether the medical device is located in an urban hospital, a rural hospital or a physical examination center. Different institutions may have different quality control requirements. The interference situation indicates the impact of the location of the medical device, such as being close to a strong magnetic field, a transformer or a power plant, and the medical device will be affected if it has a magnetic detection function.

[0056] S24: Analyze the quality control parameters according to preset rules to obtain quality control analysis results.

[0057] Optionally, the quality control parameters are analyzed according to the preset rules in S24. Figure 4 The method implementation shown specifically includes:

[0058] S241a: Acquire the analysis sample setting method.

[0059] The analysis sample can be a quality control analysis data chart stored on the server or on the medical device. Specifically, the quality control parameters of the same medical device at multiple time points within a certain period of time can be statistically analyzed, and the data can be analyzed by human judgment to determine the quality control analysis results corresponding to different data, so as to establish a quality control analysis data chart corresponding to the data and results. When new quality control parameters and other data are obtained, the data is input into the chart stored on the server or medical device for corresponding search, and the quality control analysis results of the medical device can be obtained, which can also include the solution corresponding to the quality control analysis results. In some other embodiments, quality control data and quality control status can also be added for statistics.

[0060] Optionally, the analysis sample can also be a trained neural network, such as a Bayesian network. By inputting quality control parameters or quality control data, and quality control status into the Bayesian network, the probability of one or more quality control analysis results can be obtained, thereby determining the cause of the current medical device out of control.

[0061] S242a: If the analysis sample is the default analysis sample, the quality control parameters are analyzed according to the default analysis sample.

[0062] S243a: If the analysis sample is an associated analysis sample, the quality control parameters are analyzed according to the analysis sample associated with the medical device.

[0063] Among them, the default analysis sample is established by the server side based on the quality control parameters collected and obtained, and the associated analysis sample is established by the medical device side based on its own quality control parameters. The associated analysis samples of different medical devices are different, and the associated analysis samples of the same medical devices in different regions and institutions may also be different. Therefore, in this embodiment, it is necessary to determine the selection of analysis samples so that the server can obtain more accurate analysis results when performing quality control analysis on medical equipment.

[0064] Optionally, the quality control parameters are analyzed according to the preset rules in S24. Figure 5 The method implementation shown specifically includes:

[0065] S241b: Determine whether the medical device has associated analysis samples.

[0066] In this embodiment, since one end of the medical device is the user end and the server end is usually the medical device supplier, the user on one end of the medical device may not perform statistics on the quality control parameters of the device during use due to various reasons. For example, in the case of private users or rural health centers, the user end usually does not have this statistical capability, so it is necessary to determine whether the medical device end has its own established correlation analysis samples.

[0067] When it is determined that the medical device in S241b has an associated analysis sample, S242b is executed; when it is determined that the medical device in S241b has no associated analysis sample, S243b is executed.

[0068] S242b: Analyze quality control parameters based on analytical samples associated with the medical device.

[0069] S243b: Analyze the quality control parameters according to the default analysis samples.

[0070] In this way, various types of quality control parameters can be analyzed according to preset rules to quickly and accurately obtain quality control analysis results, thereby finding the reason why the medical device is out of control, and further obtaining corresponding solutions based on the reasons; and through communication connections, the results can be directly fed back to the medical device user end for early warning, so that corresponding processing can be carried out in a timely manner.

[0071] In other embodiments, when it is determined that a medical device is in an out-of-control state and the device parameters such as the type, model, quality control mode, etc. of the medical device are obtained, one or more identical medical devices with the same device parameters as the current medical device can be found in different areas and / or different medical institutions corresponding to the server, and the historical quality control data of these identical medical devices and the corresponding quality control status can be retrieved. The historical quality control data and quality control status can be further tracked and analyzed, for example, by accurately locating the out-of-control time period, the scope can be expanded for out-of-control analysis, thereby further judging the stability of such medical devices, and this can be used as a reference for the quality control analysis results.

[0072] S25: Obtain the geographic location of each medical device.

[0073] Among them, each medical device can be a medical device of the same type and model, or a medical device of different types and models. Different types of equipment can be marked with different symbols, such as circles, triangles, etc., and the geographical location can include the medical institutions or areas mentioned above.

[0074] S26: A quality control map is established based on the geographical location, and the quality control map marks the location of each medical device based on each geographical location.

[0075] See Figure 6 In this embodiment, the distribution of medical equipment of the same type and model is presented on the quality control map, and the position of each medical equipment is marked. The marking method of the position is determined based on the quality control status of each medical equipment. When a medical equipment is out of control, the corresponding position on the quality control map begins to flash and highlight to remind. When a medical equipment is under control, the corresponding position on the quality control map is always on to remind, and different colors can be used to distinguish different medical institutions or regions. Other corresponding markings can also be displayed on the quality control map for different types of medical equipment. For example, for sample analysis devices, markings such as reagent consumption can be added. The specific setting method is not limited. In this way, medical equipment can be monitored in real time using the quality control map, which can improve the efficiency of quality control work.

[0076] See Figure 7 , Figure 7 7 is a schematic diagram of the structure of an embodiment of a quality control management server provided in the present application. The quality control management server 70 includes a communication module 71, a memory 72, and a processor 73. The communication module 71 is used to establish a communication connection with the medical device, the memory 72 is used to store a computer program, and the processor 73 is connected to the communication module 71 and the memory 72 to execute the computer program to implement the following method:

[0077] Obtain quality control data sent by the medical device; determine the quality control status of the medical device based on the quality control data; when the quality control status meets the preset requirements, analyze the quality control parameters of the medical device to obtain quality control analysis results; wherein the quality control parameters include at least the equipment parameters and environmental parameters of the medical device.

[0078] See Figure 8 , Figure 8 It is a structural diagram of an embodiment of the quality control management system provided in this application. The quality control management system 80 includes multiple medical devices 81 and a quality control management server 82, wherein each medical device 81 is provided with a communication module, and the quality control management server 82 is connected to multiple medical devices 81.

[0079] See Figure 9 , Figure 9 1 is a schematic diagram of the structure of an embodiment of a computer-readable storage medium provided by the present application. The computer-readable storage medium 90 of this embodiment is used to store a computer program 91. When the computer program 91 is executed by a processor, it is used to implement the following method steps:

[0080] Obtain quality control data sent by the medical device; determine the quality control status of the medical device based on the quality control data; when the quality control status meets the preset requirements, analyze the quality control parameters of the medical device to obtain quality control analysis results; wherein the quality control parameters include at least the equipment parameters and environmental parameters of the medical device.

[0081] It should be noted that the method steps executed by the computer program 91 of this embodiment are based on the above method embodiments, and their implementation principles and steps are similar. Therefore, when the computer program 91 is executed by the processor, it can also implement other method steps in any of the above embodiments, which will not be repeated here.

[0082] When the embodiments of the present application are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0083] The above description is only an implementation method of the present application and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made according to the contents of the description and drawings of this application, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A quality control management method for medical equipment, characterized in that: The method is applied to a server, wherein the server establishes a communication connection with a plurality of medical devices, and the method comprises: Acquiring quality control data sent by the medical device; wherein the quality control data is the actual value or deviation value of the quality parameter of the medical device; determining a quality control status of the medical device according to the quality control data; When the quality control status meets the preset requirements, obtaining the quality control parameters of the medical device; Wherein, the quality control parameters include at least equipment parameters and environmental parameters of the medical equipment; Analyze the quality control parameters according to preset rules to obtain quality control analysis results; The analyzing of the quality control parameters according to preset rules includes: Obtaining an analysis sample setting mode; if the analysis sample is a default analysis sample, analyzing the quality control parameter according to the default analysis sample; if the analysis sample is an associated analysis sample, analyzing the quality control parameter according to the analysis sample associated with the medical device; Alternatively, determine whether the medical device has an associated analysis sample; if so, analyze the quality control parameter according to the analysis sample associated with the medical device; otherwise, analyze the quality control parameter according to a default analysis sample.

2. The method according to claim 1, characterized in that The obtaining of quality control data sent by the medical device includes: Obtain quality control data, statistical data and correction data sent by medical equipment; The statistical data is obtained by the medical device collecting statistics on the quality control data, and the corrected data is obtained by the user adjusting the statistical data.

3. The method according to claim 2, characterized in that The quality control status includes controlled, out of control and uncontrolled; When the quality control status meets the preset requirements, the quality control parameters of the medical device are analyzed to obtain quality control analysis results, including: When the quality control state is out of control, the quality control parameters of the medical device are analyzed to obtain quality control analysis results.

4. The method according to claim 1, wherein The equipment parameters include at least one of the type, model, working hours, and quality control mode of the medical equipment, and the environmental parameters include at least one of the area, medical institution, and interference situation of the medical equipment.

5. The method according to claim 1, wherein The method further comprises: Obtaining a geographic location of each of the medical devices; Establishing a quality control map according to the geographical location, wherein the quality control map marks the location of each medical device according to each geographical location; The marking method of the position marking is determined based on the quality control status of each of the medical devices.

6. A quality control management server, characterized in that: The quality control management server includes: Communication module, used to establish communication connection with medical equipment; memory for storing computer programs; A processor, connected to the communication module and the memory, configured to execute the computer program to implement the method according to any one of claims 1 to 5.

7. A quality control management system, characterized in that: The quality control management system includes: A plurality of medical devices, each of the medical devices being provided with a communication module; A quality control management server is connected to the plurality of medical devices, and the quality control management server is the quality control management server according to claim 6.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program is used to implement the method according to any one of claims 1 to 5.

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