Medical equipment analysis method and medical equipment management platform

Abstract

The invention provides a medical equipment analysis method and a medical equipment management platform, and the method comprises the steps: obtaining the equipment related data of a plurality of pieces of medical equipment, the equipment related data comprises at least one of equipment basic information, equipment operation information, equipment fault information, equipment operation information, equipment calibration information, equipment quality control information and detection evaluation information; analyzing the equipment related data of the at least one medical equipment based on a preset health degree model to obtain a health evaluation index of the medical equipment; and when the health evaluation index of the medical equipment meets a preset early warning condition, an early warning event is sent to terminal equipment corresponding to the medical equipment, so that a user of the terminal equipment executes a corresponding processing service according to the early warning event. The health evaluation indexes of the medical equipment are determined through acquisition and analysis of related data of the equipment, early warning events are intelligently pushed and processed based on the health evaluation indexes of the medical equipment, and accurate delivery management of service resources and accurate service of the medical equipment are realized.

Description

Technical Field

[0001] The present application relates to the field of medical equipment technology, and in particular to a medical equipment analysis method and a medical equipment management platform. Background Art

[0002] Medical equipment such as in vitro diagnostic (IVD) equipment may sometimes have abnormalities during operation, and users need to passively report to the manufacturer; however, the information exchange efficiency during the repair communication process is low, and engineers are usually required to go to the site to locate and analyze the fault. Alternatively, engineers can be arranged to go to the site to inspect and analyze the medical equipment at regular intervals. At present, the service methods for such equipment are not accurate enough, which is not only time-consuming but also affects the operating efficiency of medical equipment. It is inefficient and not user-friendly and manufacturer-friendly. Summary of the invention

[0003] The present application provides a medical device analysis method and a medical device management platform, which can improve the efficiency and accuracy of medical device services.

[0004] In a first aspect, an embodiment of the present application provides a medical device analysis method for a management platform, comprising:

[0005] Acquire device-related data of each of the plurality of medical devices, wherein the device-related data includes basic information of the device and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information;

[0006] Determining at least one health evaluation indicator of the medical device according to the device-related data of the medical device;

[0007] When the health evaluation index of the medical device meets the preset warning condition, a warning event is sent to the terminal device corresponding to the medical device, so that the user of the terminal device can perform corresponding processing services according to the warning event.

[0008] In a second aspect, an embodiment of the present application provides a medical device analysis method for a management platform, comprising:

[0009] Acquire device-related data of each of the plurality of medical devices, wherein the device-related data includes basic information of the device and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information;

[0010] Determining at least one health evaluation indicator of the medical device according to the device-related data of the medical device;

[0011] When the health evaluation index of the medical device exceeds the corresponding first range, determine whether to send a warning event to the terminal device corresponding to the medical device and / or determine the priority of the warning event at least based on the type of the health evaluation index.

[0012] In a third aspect, the present application embodiment provides a medical device management platform, including:

[0013] A communication device, the communication device is used to perform encrypted data transmission with the medical device and the terminal device;

[0014] A data analysis device, wherein the data analysis device is used to execute the steps of the aforementioned medical device analysis method.

[0015] The embodiment of the present application provides a medical equipment analysis method and a medical equipment management platform, the medical equipment analysis method includes: obtaining equipment-related data of each of a plurality of medical devices, the equipment-related data including basic equipment information and at least one of the following: equipment operation information, equipment failure information, equipment operation information, equipment calibration information, equipment quality control information, and detection and evaluation information; determining at least one health evaluation index of the medical equipment according to the equipment-related data of the medical equipment; when the health evaluation index of the medical equipment meets the preset warning condition, sending a warning event to the terminal device corresponding to the medical equipment, so that the user of the terminal device can perform the corresponding processing service according to the warning event. The health evaluation index of the medical equipment is determined by acquiring and analyzing the equipment-related data of the medical equipment, and the warning event is pushed and processed intelligently based on the health evaluation index of the medical equipment, so as to realize the precise delivery management of service resources and precise service for medical equipment, improve efficiency, and save resources.

[0016] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory and cannot limit the disclosure of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is a flow chart of a medical device analysis method provided in an embodiment of the present application;

[0019] Figure 2 is a schematic diagram of an application scenario of a medical device analysis method in one embodiment;

[0020] Figure 3 is a schematic diagram of an interface for creating a first service ticket in one implementation mode;

[0021] Figure 4 This is a schematic diagram of an interface of a health level compliance rate interface in one implementation mode;

[0022] Figure 5 This is a schematic diagram of a health interface in one implementation mode;

[0023] Figure 6 is a schematic diagram of a health interface in another implementation mode;

[0024] Figure 7 This is a schematic diagram of an interface of a detailed analysis interface corresponding to time availability in an implementation manner;

[0025] Figure 8 This is a schematic diagram of an interface of a detailed analysis interface corresponding to a detection pass rate in an implementation manner;

[0026] Fig. 9 This is a schematic diagram of an interface of an early warning prompt interface in an implementation manner;

[0027] Fig.10 This is a schematic diagram of an interface of an early warning prompt interface in another implementation manner;

[0028] Fig.11 is a schematic flow chart of a medical device analysis method in one embodiment;

[0029] Fig.12 This is a schematic diagram of an interface of a one-key repair reporting interface in one implementation mode;

[0030] Fig.13 is a flow chart of a medical device analysis method provided in another embodiment of the present application;

[0031] Fig.14 is a schematic flow chart of a medical device analysis method in some embodiments of the present application;

[0032] Fig.15 is a flow chart of a medical device analysis method provided by another embodiment of the present application;

[0033] Fig.16 It is a schematic block diagram of a medical device management platform provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0036] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0037] See also Figure 1 , Figure 1 This is a flow chart of a medical device analysis method provided in an embodiment of the present application. The method can be applied in a medical device management platform to analyze device-related data of medical devices and issue early warnings to medical devices when necessary, so that users can perform corresponding processing services according to the early warnings, thereby improving the efficiency and accuracy of medical device maintenance services.

[0038] The medical equipment may include but is not limited to at least one of the following equipment or part of at least one of the following equipment: sample analysis system, ultrasonic imaging equipment, endoscope equipment, anesthesia machine, monitor, ventilator, central station; for example, the sample analysis system may be a separate sample analyzer or may be an assembly line of multiple sample analyzers, and the medical equipment may be the entire assembly line or may be a sample analyzer therein. The sample analyzer includes but is not limited to at least one of the following: a biochemical analyzer, an electrolyte analyzer, an immunoassay analyzer, a coagulation analyzer, and a urine analyzer. For ease of explanation, the embodiments of the present application are mainly described by taking the example of medical equipment including a sample analyzer.

[0039] The management platform may include a terminal and / or a server. The terminal may be a mobile phone, a tablet computer, a laptop computer, a desktop computer, a personal digital assistant, or other terminal device. The server may be an independent server or a server cluster. The management platform may be deployed by, for example, a manufacturer, seller, maintainer, or user of the medical device. In some embodiments, the management platform may be referred to as an IOT (Internet of Things) platform or an iService platform.

[0040] In some embodiments, the management platform includes a communication device for encrypted data transmission with the medical device and the terminal device. The terminal device includes, for example, a terminal device of a maintainer or user of the medical device, for example, a terminal device of a person responsible for determining whether to maintain the medical device can be called a responsible person terminal, and a terminal device of a service person responsible for maintaining the medical device can be called a service terminal.

[0041] See also Figure 2 Medical devices can communicate with the management platform through the IoT router, which has a built-in APN (Access Point Name) and IoT SIM card (Subscriber Identity Module). Encrypted data transmission is performed when medical devices, terminal devices and the management platform communicate. Only designated ports can be opened on the IoT router to prevent viruses and hacker attacks from external networks. Optionally, medical devices from the same manufacturer can be independently networked with the manufacturer's management platform, and the data transmission process is encrypted throughout. This improves the security of data transmission.

[0042] like Figure 1 As shown, the medical device analysis method of the embodiment of the present application includes steps S110 to S130.

[0043] Step S110, obtaining device-related data of each of the plurality of medical devices, wherein the device-related data includes at least one of basic device information, device operation information, device fault information, device operation information, device calibration information, device quality control information, and detection and evaluation information.

[0044] For example, see Figure 2 Medical devices can send device-related data of medical devices to the management platform in real time or periodically based on the MQTT (Message Queuing Telemetry Transport) protocol.

[0045] The basic information of the equipment includes but is not limited to at least one of the following: equipment serial number, equipment type, software version, consumable parts information, and equipment parameters. The consumable parts information can be determined based on the equipment type and maintenance records of the medical equipment, and the value of the equipment parameter can be a preset value or a value set by the user.

[0046] Equipment operation information includes but is not limited to at least one of the following: equipment operation status, equipment operation log. Equipment operation status includes, for example, standby, fault, normal operation, shutdown, etc., and equipment operation log may include equipment operation status recorded at different times. Equipment operation information may also include data collected by sensors on medical equipment, such as pressure and flow of gas and / or liquid circuits, and may also include logical operation results of equipment operation information such as pressure and flow, such as slope, coefficient of variation, median, etc. Optionally, logical operations may be performed by the medical equipment or by the management platform.

[0047] Equipment fault information includes but is not limited to at least one of the following: fault unit, fault description, fault type, and fault level. The fault unit includes, for example, a component that affects the normal operation of the medical device, the fault description includes, for example, prompt information on how to solve the fault, the fault level indicates the priority of solving the fault, such as emergency or general, and the fault type includes, for example, hardware fault, software fault, etc., of course, but is not limited thereto.

[0048] Equipment operation information includes but is not limited to at least one of the following: maintenance log, maintenance time, power on / off status, and operation type. Maintenance includes at least one of the following: inspection, repair, and maintenance, which may include maintenance performed by users or maintenance performed by service personnel responsible for maintaining medical equipment.

[0049] Equipment calibration information includes but is not limited to at least one of the following: calibration time, calibration parameters, calibration results, and calibration test numbers. Equipment quality control information includes but is not limited to at least one of the following: quality control product information, quality control results, and quality control traceability information. When the calibration result is calibration failure or the quality control result is quality control failure, it can be determined that the medical device has a fault, and the faulty unit and fault type of the medical device can be further determined.

[0050] The detection evaluation information includes at least one of the following: positive rate information, gray area rate information, calibration failure rate information; the positive rate information, gray area rate information, calibration failure rate information, for example, can be a statistical probability or a positive rate score, a gray area rate score, and a calibration failure rate score.

[0051] In some embodiments, the medical device can determine the category and frequency of device-related data to be sent to the management platform according to user settings. The device-related data may include relevant data during the use of the medical device itself, the supporting equipment of the medical device, and the supporting software of the medical device; it can facilitate the management platform to analyze the device-related data and prompt relevant personnel to provide medical device services based on the analysis results, so as to improve the efficiency and accuracy of medical device services.

[0052] In some embodiments, the medical device can send the basic information of the device obtained by performing necessary field extraction and corresponding logical operations (such as slope, coefficient of variation, median, etc.) through the data acquisition software to the management platform. For example, the device operation information obtained by the logical operation includes the slope, coefficient of variation, median, etc. of the air pressure source pressure of the medical device, and the detection evaluation information obtained by the logical operation includes the median of the positive rate information, the median of the gray area rate information, the median of the calibration failure rate information, etc. By sending the basic information of the device obtained by the logical operation to the management platform, the bandwidth requirements of the management platform in the big data measurement scenario can be reduced; optionally, the basic information of the device obtained by the logical operation can also be compressed and packaged in a preset form to further reduce the bandwidth requirements.

[0053] Exemplarily, the data acquisition software of a medical device is independent of a software system that is run by the medical device to implement a corresponding medical function, wherein the data acquisition software and the software system can be independently iteratively optimized; and unexpected effects on the software system that is run by the medical device to implement a medical function can be prevented.

[0054] Optionally, when acquiring the device-related data of each of the multiple medical devices, step S110 may also perform conditional screening on at least one device-related data; for example, for a sample analyzer, only the pressure of the fluid path and other device operation information for a preset test item (such as a blood routine test) in a sample analysis scenario may be acquired. By removing unnecessary data, the accuracy of medical device analysis and early warning may be improved.

[0055] Optionally, when acquiring the device-related data of each of the multiple medical devices, step S110 may also perform a starting point evaluation on the device-related data that passes the conditional screening. If the number of results of a type of device-related data within the corresponding starting period (such as one day) is less than the corresponding starting point, continue to acquire the device-related data sent by the medical device until the number of results of the device-related data within the corresponding starting period is greater than or equal to the corresponding starting point, and then execute step S120 to analyze the device health of the medical device. For example, when the number of results of the pressure of a fluid circuit at a certain location of a medical device is greater than or equal to the corresponding starting point, execute step S120 to analyze the device health of the medical device.

[0056] Step S120: Analyze the device-related data of at least one of the medical devices based on a preset health model to obtain the device health of the medical device.

[0057] For example, the device health may include a device health percentage, which may be a value between 0% and 100%. A larger device health indicates a better health status of the medical device, wherein 100% indicates the best health status of the medical device, and 0% indicates the worst health status of the medical device. Of course, the range of the device health may also be other ranges, such as 1 to 10 points or 1 to 100 points, and the device health may be referred to as a device health score, for example.

[0058] Optionally, the management platform can obtain the equipment health scores of multiple medical devices of the same type (such as the same type of medical devices used in different hospitals) determined in at least one time period, select the largest equipment health score as the benchmark health score, and determine the equipment health percentage of each medical device based on the ratio of the equipment health score of each medical device to the benchmark health score. The health status of multiple medical devices of the same type can be used to more accurately determine the equipment health of the medical device, making the equipment health more meaningful for reference.

[0059] In some embodiments, the device-related data of at least one of the medical devices is analyzed based on a preset health model to obtain the device health of the medical device, including: analyzing the device-related data of at least one of the medical devices to obtain at least one evaluation indicator of the medical device; and determining the device health of the medical device based on the at least one evaluation indicator of the medical device.

[0060] Exemplarily, the preset evaluation index of the medical device can be determined according to the preset index determination logic and according to the device-related data of the medical device, so as to obtain the required evaluation index by analyzing the device-related data.

[0061] Exemplarily, the evaluation index includes at least one of the following: time availability, test efficiency, and test pass rate. For example, a model is established from the three dimensions of time availability, test efficiency, and test pass rate to analyze device-related data, and the health of medical devices is evaluated from the three dimensions. It should be noted that the evaluation index is not limited to the above three, for example, it can also be expanded according to the improvement of the type of device-related data, for example, it can also include the pass rate of quality control results, etc.

[0062] The time availability of medical equipment is used to characterize the reliability of the normal operation of the medical equipment. The greater the time availability, the higher the reliability of normal operation, and the greater the probability that the medical equipment can operate normally. For example, the time availability is determined according to the difference between the first preset statistical duration of the medical equipment and the fault duration (such as the downtime of the medical equipment) in the first preset statistical duration, and the ratio of the first preset statistical duration. The first preset statistical duration is, for example, a time period of a preset length such as one day, or it can be the time period between the current time and a preset event, such as the time period between the current time and the start-up of the medical equipment, or the time period between the current time and the last time an early warning event was sent; or it can also be the time period between two preset events, such as the time period between the moment of this downtime and the moment of the last downtime.

[0063] The test efficiency of medical equipment is used to characterize the reliability of medical equipment such as sample analyzers in detecting samples. The greater the test efficiency, the higher the reliability of the detection. For example, the test efficiency is determined based on the difference between the test amount of the medical equipment within the second preset statistical time length and the test amount corresponding to the test sequence affected by the fault within the second preset statistical time length, and the ratio of the test amount within the second preset statistical time length. The second preset statistical time length can be the same as the first preset statistical time length, or it can be different.

[0064] The detection qualified rate of medical equipment is used to characterize the credibility of the detection results of medical equipment such as sample analyzers. The greater the detection qualified rate, the higher the credibility of the detection results. For example, the detection qualified rate is determined according to the medical equipment detection evaluation information, for example, according to the product of the positive rate score, the gray area rate score and the calibration failure rate score. For example, it is determined according to the product of the positive rate score, the gray area rate score and the calibration failure rate score within the third preset statistical time length of the medical equipment. The third preset statistical time length can be the same as the second preset statistical time length and the first preset statistical time length, or it can be different. The positive rate score can be used to characterize the sensitivity of the sample analyzer detection. The smaller the probability of the detection result being in the gray area (i.e., the gray area rate), the larger the gray area rate score. The calibration failure rate score is determined, for example, according to the ratio of the number of medical equipment calibration failures within the third preset statistical time length to the total number of calibrations. The smaller the ratio, the larger the calibration failure rate score.

[0065] Exemplarily, the device health of the medical device is positively correlated with at least one of the following: the time availability of the medical device, the test efficiency of the medical device, the test pass rate of the medical device, the product of the time availability and the test efficiency, the product of the time availability and the test pass rate, and the product of the test efficiency and the test pass rate. For example, the device health of the medical device can be calculated based on the time availability of the medical device, the test efficiency of the medical device, and the product of the test pass rate of the medical device; of course, it is not limited to this. For example, the device health of the medical device can also be calculated based on the product of the time availability of the medical device and the test efficiency.

[0066] Exemplarily, when determining the equipment health of the medical device based on the equipment-related data of the medical device, reference may also be made to the equipment-related data of other medical devices of the same type or preset evaluation indicators determined based on the equipment-related data of other medical devices of the same type, so as to utilize the equipment-related data that can characterize the health status of medical devices of the same type to more accurately determine the equipment health of the medical device, thereby making the equipment health more meaningful for reference.

[0067] In other embodiments, the device-related data of at least one of the medical devices is analyzed based on a preset health model to obtain the device health of the medical device, including: vectorizing the device-related data of at least one of the medical devices to obtain a feature vector of the medical device; and determining the device health of the medical device according to the feature vector of the medical device based on the health model. For example, the health model can be an artificial intelligence (AI) model, such as at least one of the following: a genetic algorithm (GA) model and an artificial neural network (ANN) model.

[0068] Exemplarily, based on the preprocessing sub-model of the health model, device-related data of at least one of the medical devices is vectorized to obtain a feature vector of the medical device; the feature vector of the medical device is input into the AI ​​sub-model of the health model to obtain the device health of the medical device output by the AI ​​sub-model.

[0069] Exemplarily, the training process of the health model is as follows: obtaining device-related data of at least one medical device and the device health of a target medical device among the at least one medical device, wherein the device health can be manually labeled based on experience; performing vectorization processing on the device-related data of the at least one medical device based on the health model to obtain a feature vector of the target medical device, and predicting the device health of the target medical device based on the feature vector of the target medical device; adjusting the parameters of the health model based on the difference between the predicted value and the labeled value of the device health of the target medical device.

[0070] Step S130: When the device health of a medical device meets a preset warning condition, a warning event is sent to a terminal device corresponding to the medical device so that a user of the terminal device can perform a corresponding processing service according to the warning event.

[0071] By sending warning events to the terminal device corresponding to the medical device according to the device health of the medical device, warnings based on the device health can be achieved, and precise services can be provided to the medical device based on the warnings. For example, services such as remote troubleshooting and diagnosis of medical device faults, equipment maintenance, after-sales service, and subsequent product function improvement can be provided.

[0072] In some implementations, when there is a medical device whose device health is less than or equal to a first health threshold, it is determined that the device health of the medical device meets the warning condition. Whether the device health of the medical device meets the standard can be determined based on a comparison result between the device health of the medical device and a preset first health threshold.

[0073] In some embodiments, when the equipment health of a medical device satisfies a preset warning condition, a warning event is sent to a terminal device corresponding to the medical device, including: when the equipment health of a medical device satisfies a preset warning condition, a warning event is sent to a responsible person terminal corresponding to the medical device, and a user of the responsible person terminal is prompted to determine whether to create a first service work order based on the warning event, wherein the first service work order is used to instruct the service personnel of the medical device to provide service to the medical device.

[0074] Exemplarily, when the equipment health of a medical device meets the preset warning conditions, the management platform can send a warning message (such as text message or instant messaging software) to the terminal of the person in charge of the medical device. The person in charge of the medical device can directly enter the details interface of the equipment health according to the warning information, such as the text message link, and view and analyze the abnormal reasons corresponding to the warning event in the details interface, and then decide whether it is necessary to dispatch a service work order; when it is necessary to dispatch a service work order, the first service work order can be issued to the service terminal of the service personnel of the medical equipment through the FSM (Field Service Management) work order system.

[0075] For example, Figure 3 As shown, when the responsible person terminal creates the first service work order, the type of the work order can be set, such as a service that instructs the service personnel of the medical device to perform a calibration visit on the medical device. The first service work order can also include an abnormal evaluation indicator that causes the health of the device to meet the warning condition, such as a time availability rate of 49.9%, which prompts the responsible person and service personnel of the medical device that the reliability of the normal operation of the current medical device is low, so as to formulate a corresponding service type.

[0076] In other embodiments, when the device health of a medical device satisfies a preset warning condition, sending a warning event to a terminal device corresponding to the medical device includes: when the device health of a medical device satisfies a preset warning condition, sending the first service work order to a service terminal corresponding to the medical device. That is, the person in charge of the medical device does not need to decide whether to send a service work order, and the first service work order can be automatically sent to the service terminal corresponding to the medical device when the device health of the medical device satisfies the preset warning condition.

[0077] Optionally, different warning conditions can be set, such as different first health thresholds, so that when the device health of the medical device meets one of the warning conditions, it is determined to send a warning event to the responsible person terminal corresponding to the medical device and prompt the user of the responsible person terminal to determine whether to create a first service ticket based on the warning event; when the device health of the medical device meets another warning condition, the first service ticket is directly sent to the service terminal corresponding to the medical device. Different service ticket dispatching strategies can be adopted according to the device health of the medical device.

[0078] Exemplarily, the method further includes: providing the responsible person terminal and / or the service terminal with a health interface corresponding to the warning event. The responsible person and service personnel can analyze the current data performance of the medical equipment and the causes of the abnormalities on the health interface. For example, the service personnel who receive the dispatch can link to the health interface of the management platform through the FSM work order system to view the data. It should be noted that the FSM work order system and the management platform can be different system platforms, or they can be integrated on the same system platform.

[0079] Optional, such as Figure 4 As shown, the management platform can provide a health compliance rate interface to the responsible person's terminal, and the responsible person can view a list of medical devices whose health does not meet the standard (such as less than or equal to the first health threshold) on the health compliance rate interface; the health compliance rate interface can also be called an early warning prompt interface, which displays multiple early warning events, and users can view their unprocessed early warnings to make targeted improvements and follow-ups. For example, the management platform can provide the responsible person's terminal with a health interface corresponding to the medical device based on the responsible person's operation of clicking the view details control.

[0080] In some embodiments, see Figure 5 and Figure 6 The health interface includes at least one of the following: a health display area, a warning event display area, an abnormal indicator display area, and a multiple indicator display area.

[0081] The health display area is used to display at least one of the following: the health of the medical device in the current time period, the number of time periods in which the health of the medical device meets the standard, and the comparison result between the health of the medical device in the current time period and the health of the preset medical device. Figure 5 As shown, the health of the medical device is 86%. The health of the medical device reached the standard for 294 days out of the 342 days it was in operation this year. The health of the medical device is currently 9.6% lower than the health of the medical device of the same category nationwide. The health status of the medical device can be understood as a whole through the health interface.

[0082] The warning event display area is used to display at least one of the following: the warning time of the warning event, the abnormal evaluation index corresponding to the warning event, and the warning processing result of the warning event. Figure 5 As shown, the evaluation index that causes the health of the equipment to meet the warning condition, that is, the abnormal evaluation index that triggers the warning event is the time availability rate, specifically 49.9%; the warning processing result of the warning event is no response. Figure 6As shown, the abnormal evaluation index triggering the warning event is the detection qualification rate, specifically 80%, because the HBsAg positive rate fluctuates too much; the warning processing result of the warning event is no response.

[0083] The abnormal index display area is used to display the changing trend graph / table of the abnormal evaluation index in multiple time periods. Figure 5 As shown in the figure, the changing trend of time availability in multiple time periods is shown in the form of a curve; Figure 6 As shown, the changing trend of the qualified detection rate in multiple time periods is displayed in the form of a curve, which is convenient for the responsible person and service personnel to formulate targeted processing services according to the changing trend of the abnormal evaluation indicators.

[0084] The multi-indicator display area is used to display multiple evaluation indicators of the medical device in the current time period. Figure 5 and Figure 6 , showing the time availability, test efficiency, and test pass rate of the medical equipment in the current time period; it can also show the equipment-related data corresponding to each evaluation index, such as Figure 6 The test pass rate is shown as 80%, the corresponding positive rate score is 80%, and the gray area rate score is 100%. In order to comprehensively analyze the health status of medical equipment based on multiple evaluation indicators of medical equipment, targeted treatment services can be formulated.

[0085] For example, in the health interface, users can view the operation status of medical equipment this year, review past history, and analyze the recent performance of medical equipment. For example, the medical equipment has been running for 342 days this year, but only 294 days were normal operation, and there were abnormal data at other times, so targeted problem improvements need to be made.

[0086] Exemplarily, the method further includes: providing a detailed analysis interface corresponding to the abnormal evaluation index to the responsible person terminal and / or the service terminal.

[0087] For example, see Figure 5 or Figure 6 When the multi-indicator display area displays multiple evaluation indicators of the medical device, the abnormal evaluation indicator is highlighted; and according to the user's click operation on the abnormal evaluation indicator, the detailed analysis interface corresponding to the abnormal evaluation indicator is provided to the responsible person terminal and / or the service terminal, so as to further analyze the equipment-related data corresponding to the abnormal evaluation indicator, so as to formulate targeted processing services.

[0088] When the abnormal evaluation index includes time availability, the detailed analysis interface is used to display: the available time period and / or unavailable time period of the medical device, the fault type and fault time of the medical device. Figure 5 See also Figure 7 , Figure 7 Each bar in the upper bar graph represents the total time of the medical device per day, wherein the display parameters of the unavailable time period and the available time period are different, such as the upper side of the rightmost bar represents the unavailable time period in dark color, so that users can analyze the distribution of the unavailable time period of the medical device. Figure 7 The lower side displays the equipment failure information of the medical device, such as the failure unit, failure description, failure type, and failure level; based on the equipment failure information, the cause of the unavailable time period can be analyzed and located. For example, the time availability rate of the medical device on that day is 49.9%, that is, the medical device is down for more than half of the time on that day. The failure phenomenon corresponding to the unavailable time period can be located based on the time information of the unavailable time period and the equipment failure information corresponding to the time information. For example, it can be determined that the medical device is down due to an abnormality in the cup gripper unit at 12 o'clock. A first service work order for cup gripper unit maintenance can be created so that service personnel can perform maintenance services on the cup gripper unit of the medical device.

[0089] When the abnormal evaluation index includes the test pass rate, the detailed analysis interface is used to display: the degree of dispersion of the test pass rate in multiple time periods, the quality control target value graph / table, the reagent batch number, calibration curve, and cleaning execution status of each time period. For example, when the degree of dispersion, such as the standard deviation, exceeds the deviation threshold, the time when the test pass rate is abnormal can be determined, and the quality control target value graph / table, reagent batch number, calibration curve, cleaning execution status, etc. at that time can be checked to locate the cause of the abnormal test pass rate. For example, Figure 8 The target value graph on the lower left side displays auxiliary judgment information such as reagent batch number, calibration curve, cleaning execution status, etc.; it can be determined that the medical equipment has a reagent batch change and reagent calibration at that time, which may affect the test results, and the service personnel can be instructed to go to the medical equipment site to handle it.

[0090] When the abnormal evaluation index includes test efficiency, the detailed analysis interface is used to display: the test sequence affected by the fault, the fault type and fault time of the medical device, so as to locate the fault affecting the test efficiency and carry out targeted processing.

[0091] For example, Fig. 9 The management platform shown can provide an early warning prompt interface, and service personnel can view their unprocessed warnings and enter the health interface corresponding to the medical device by clicking to view details.

[0092] For example, Fig.10As shown, after the service personnel has completed processing the service corresponding to the first service work order, they can also view the processed first service work order and the follow-up status of the first service work order in the early warning prompt interface, such as the service order number, executor, work order status, completion confirmation time and other information.

[0093] In some embodiments, see Fig.10 When the health of the medical device meets the preset warning conditions, the priority of the warning event can also be determined according to the health of the device. For example, when the health of the device is low, it is determined as a warning event with a higher priority, such as a Class A warning event; when the health of the device is high, it is determined as a warning event with a lower priority, such as a Class C warning event. Warning events of different severity levels can be triggered according to the size of the health of the medical device. Warning events with higher priority can be sent and processed to the terminal device corresponding to the medical device in priority.

[0094] Optionally, when sending a warning event to a terminal device corresponding to the medical device, the event type of the warning event can also be classified, and the warning event can be sent to the terminal device of the corresponding role user according to the event type. For example, the event type can be determined based on the abnormal evaluation index of the warning event and / or the device-related information, such as the event type is an abnormality of the medical device itself, the supporting equipment of the medical device, the supporting software of the medical device, etc. The role user can include, for example, at least one of the following: the person in charge of the medical device, the service personnel of the medical device, and the service personnel can be a technical service engineer or a clinical service engineer, etc. The warning event can be accurately sent to the corresponding role user to improve the processing efficiency of the warning event.

[0095] Exemplarily, after receiving the warning event, each role user can perform operations according to the actual situation, such as refusing to process the service, keeping observation, accepting the processing service, etc. Optionally, the management platform can provide processing suggestions for the warning event based on the abnormal evaluation indicators of the warning event and / or equipment-related information, so that the corresponding role user can determine the operation to be performed. The processing service may include remote service processing of the medical device, or on-site processing service. After the processing service of the medical device is completed, the health of the medical device can be continuously monitored; when the person in charge determines to keep observing the operation, the first service work order may not be created, and the health of the medical device can be continuously monitored. When the role user chooses to refuse to process the service, the warning event can be closed, or other role users can be waited for to refuse to process the service, keep observing, accept the processing service, etc.

[0096] In some embodiments, the method further includes: if the first service work order is not created based on the warning event or within a preset time (such as one week or one month) after the medical device ends the service, when the device health of the medical device meets the warning condition again, sending a warning event to the terminal device corresponding to the medical device again, and upgrading the priority of the warning event.

[0097] For example, in the process of continuously monitoring the health of medical equipment, when the health of the medical equipment meets the warning condition again, the priority of the warning event can be upgraded to prompt the corresponding role user to handle the warning event as soon as possible. The priority of the warning event can be converted according to the number of times the warning event is triggered.

[0098] In some embodiments, when the device health of a medical device satisfies a preset warning condition, step S130 sends a warning event to a terminal device corresponding to the medical device, including: when the device health of a medical device is greater than or equal to a health threshold, determining whether the device health of the medical device in multiple time periods satisfies the continuous monitoring warning condition; when the device health of the medical device in the multiple time periods satisfies the continuous monitoring warning condition, sending a warning event to the terminal device corresponding to the medical device.

[0099] By determining whether to trigger a warning event based on the device health of the medical device in multiple time periods, the accuracy of determining the warning event can be improved, for example, preventing temporary abnormalities from triggering warning events, and improving the precise delivery and management of service resources and precise services for medical equipment.

[0100] Exemplarily, the equipment health of the medical device in the multiple time periods satisfies the continuous monitoring warning condition, including: the discrete degree of the equipment health of the medical device in the multiple time periods satisfies the discrete condition, and / or the changing trend of the equipment health of the medical device in the multiple time periods satisfies the trend condition. The discrete degree of equipment health, such as when the standard deviation is greater than or equal to the discrete threshold, can determine that the health of the medical device is not stable enough, and the medical device can be maintained by triggering a warning event and executing a corresponding processing service. Or when the equipment health has a rapid downward trend, the medical device can also be maintained by triggering a warning event and executing a corresponding processing service.

[0101] Optionally, the method also includes: when the device health of the medical device meets the preset warning condition for at least one time period after it is determined that the device health of the medical device meets the warning closing condition, a warning closing event is sent to the terminal device corresponding to the medical device.

[0102] Exemplarily, after determining that the device health of a medical device meets the preset warning conditions, the warning event may not be closed when the user accepts the processing service and executes the processing service. For example, after sending the warning event, the device health of the medical device is continuously monitored; when the device health meets the warning closing condition, the warning event can be automatically closed, and the role user who does not need to perform the processing service can determine whether the fault has been resolved; the corresponding role user can also be notified that the warning event has been closed, for example, no further processing service is required or the medical device has reached a healthy state after the service. It should be noted that the device health of the medical device can be continuously monitored when the user executes the corresponding processing service according to the warning event or after executing the corresponding processing service, or the device health of the medical device can be continuously monitored when the user has not yet executed the corresponding processing service in time, and the warning event can be automatically closed when the device health meets the warning closing condition.

[0103] For example, when the device health of the medical device is less than or equal to the first health threshold, it is determined that the device health of the medical device meets the warning condition; if after sending the warning event to the terminal device corresponding to the medical device, the device health of the medical device is greater than or equal to the second health threshold, it is determined that the device health of the medical device meets the warning closing condition; wherein the second health threshold is greater than or equal to the first health threshold. The second health threshold is greater than the first health threshold, that is, the condition for closing the warning event is stricter than the condition for triggering the warning event. For example, the warning event can be closed before the corresponding processing service is executed to make the device health of the medical device higher than the processing service, so as to ensure the quality of the processing service.

[0104] Exemplarily, the method also includes: when there is a medical device whose equipment health satisfies a preset warning condition, determining the abnormal evaluation index that causes the equipment health to satisfy the warning condition; and after sending the warning event to the terminal device corresponding to the medical device and before sending the warning shutdown event to the terminal device corresponding to the medical device, when the equipment health of the medical device satisfies the warning condition again and the abnormal evaluation indexes that cause the equipment health to satisfy the warning condition are the same, no longer sending a warning event to the terminal device corresponding to the medical device.

[0105] For example, in the process of sending a warning event and continuously monitoring the device health of the medical device, when the newly determined device health meets the warning condition again, and the abnormal evaluation index that causes the device health to meet the warning condition is the same as the abnormal evaluation index that previously triggered the warning event, it can be determined as a warning event of the same type or type; there is an inhibition relationship between warning events, and the same type or type of warning events are not triggered repeatedly, and there is no need to send the warning event again to prevent interference to the user.

[0106] See also Fig.11 In some implementations, after receiving the pushed warning event, when the role user chooses to accept the processing service, he can view the suggestions for the processing service of the current warning event through relevant links and information, and choose to remotely guide the user to repair the equipment or go to the site to repair the equipment according to the suggestions and his own situation. When choosing to keep observing, the device health of the medical device is continuously monitored according to the warning event, and when the device health still meets the preset warning conditions during the continuous monitoring process, the priority of the warning event can be upgraded. When the role user chooses to refuse the processing service, the warning event is closed, and the next round of device operation status monitoring is continued, such as re-acquiring and analyzing the device-related data of the medical device to determine whether the newly determined device health meets the preset warning conditions.

[0107] In some embodiments, the method further includes: adjusting the warning conditions corresponding to the medical devices according to the device health of at least one of the medical devices, and the historical warning events and / or the historical first service work orders of each of the medical devices.

[0108] Exemplarily, the investment of service resources for the medical device can be determined based on the historical warning events and / or the historical first service work orders of the medical device, and the warning conditions can be adjusted based on the relationship between the investment and the device health of the medical device to optimize the investment of service resources.

[0109] Exemplarily, when the device health of the medical device is greater than or equal to the third health threshold, and the number of warnings of historical warning events of the medical device is greater than or equal to the first number threshold and / or the number of historical first service work orders is greater than or equal to the first number threshold, the first health threshold corresponding to the warning condition is raised. When the device health of the medical device is high and the investment in service resources is still relatively high, the warning condition for triggering the warning event can be adjusted to be more stringent, that is, more difficult to be triggered, and the frequency of triggering the warning event can be appropriately reduced.

[0110] Exemplarily, when the device health of the medical device is less than or equal to the fourth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to the second number threshold and / or the number of historical first service work orders is less than or equal to the second number threshold, the first health threshold corresponding to the warning condition is lowered. When the device health of the medical device is low and the investment in service resources is still relatively low, the warning conditions for triggering the warning event can be adjusted to be more relaxed, that is, easier to be triggered, so as to increase the frequency of triggering warning events and processing services, and ensure that the medical device is in a higher device health.

[0111] In some embodiments, the method further includes: when the device health of the medical device is less than or equal to the fifth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to the third number threshold and / or the number of historical first service work orders is less than or equal to the third number threshold, creating a second service work order, the second service work order is used to instruct the medical device to be serviced. For example, when the device health of the medical device is low, when the frequency of processing services based on warning events is low, a second service work order can be created based on the overall performance of the medical device to perform maintenance on the medical device by adding manual intervention.

[0112] In some implementations, the management platform can also provide a one-click repair service for medical devices. For example, a one-click repair button is added to the display interface of the medical device, and the user of the medical device can trigger the one-click repair button to control the medical device to enter the one-click repair interface, such as Fig.12 As shown, the management platform can obtain the contact person selected by the user, fault type and other repair information through the one-click repair reporting interface; the management platform can, based on the repair information, for example, send a repair event to the responsible person terminal corresponding to the medical device, and prompt the user of the responsible person terminal to create a corresponding service work order based on the repair event to follow up and handle the problem in a timely manner.

[0113] The medical equipment analysis method provided in the embodiment of the present application includes: obtaining equipment-related data of each of a plurality of medical devices, the equipment-related data including at least one of basic equipment information, equipment operation information, equipment fault information, equipment operation information, equipment calibration information, equipment quality control information, and detection and evaluation information; analyzing the equipment-related data of at least one of the medical devices based on a preset health model to obtain the equipment health of the medical device; when the equipment health of a medical device meets the preset warning conditions, sending a warning event to the terminal device corresponding to the medical device, so that the user of the terminal device can perform the corresponding processing service according to the warning event. The equipment health of the medical device is determined by obtaining and analyzing the equipment-related data of the medical device, and the warning event is pushed and processed intelligently based on the equipment health of the medical device, so as to realize the precise delivery management of service resources and precise services for medical equipment, improve efficiency, and save resources.

[0114] Compared with the related art of maintaining medical equipment at fixed times, or passively reporting repairs by users of medical equipment after equipment operation abnormalities, the embodiments of the present application can achieve precise management of service resources and precise services for medical equipment; in some implementations, users of terminal devices can understand the cause of equipment abnormalities through the interface provided by the management platform, and perform fault location analysis to improve the efficiency of executing corresponding processing services and reduce the impact on the operating efficiency of the equipment.

[0115] Please refer to the above examples. Fig.13 , Fig.13 1 is a flow chart of a medical device analysis method in some other embodiments of the present application. The analysis method may not be limited to monitoring and warning the health of the device.

[0116] like Fig.13 As shown, the medical device analysis method of the embodiment of the present application includes steps S210 to S230.

[0117] Step S210, obtaining device-related data of each of the plurality of medical devices, wherein the device-related data includes basic device information and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information.

[0118] Step S220: Determine at least one health evaluation index of the medical device according to the device-related data of the medical device.

[0119] In some implementations, step S220 may include: analyzing device-related data of at least one of the medical devices based on a preset health model to obtain the device health of the medical device.

[0120] In some embodiments, the health evaluation index may include an index that can characterize the working condition of the medical device, for example, it may include positive rate information, gray area rate information, calibration failure rate information, and / or it may include data collected by certain sensors on the medical device, and / or it may include the logical operation results of one or more device-related data. Optionally, the health evaluation index may include an index used to characterize the health of the medical device, and / or include an index used to characterize the degree of abnormality of the medical device.

[0121] Step S230: When the health evaluation index of the medical device meets the preset warning condition, a warning event is sent to the terminal device corresponding to the medical device, so that the user of the terminal device can perform corresponding processing services according to the warning event.

[0122] In some implementations, step S230 may include: when the health evaluation index of the medical device exceeds the corresponding first range, sending a warning event to the terminal device corresponding to the medical device. Exemplarily, when the device health of the medical device is less than or equal to the first health threshold, sending a warning event to the terminal device corresponding to the medical device.

[0123] In some embodiments, see Fig.14 Step S230 may include: when the health evaluation index of the medical device is within the corresponding first range, determining whether the health evaluation index of the medical device meets the continuous monitoring warning conditions within multiple time periods; when the health evaluation index of the medical device meets the continuous monitoring warning conditions within the multiple time periods, sending a warning event to the terminal device corresponding to the medical device.

[0124] Exemplarily, the health evaluation index of the medical device is within the corresponding first range, including: the device health of the medical device is greater than or equal to the first health threshold. When the device health of the medical device is greater than or equal to the first health threshold, determine whether the device health of the medical device in multiple time periods meets the continuous monitoring warning condition; when the device health of the medical device in the multiple time periods meets the continuous monitoring warning condition, send a warning event to the terminal device corresponding to the medical device.

[0125] By determining whether to trigger a warning event based on the health evaluation indicators of the medical equipment in multiple time periods, the accuracy of determining warning events can be improved. For example, temporary abnormalities (such as excessive gas source pressure or temporary abnormalities in health evaluation indicators) can be prevented from triggering warning events, thereby improving the precise delivery and management of service resources and the precise service to medical equipment.

[0126] Exemplarily, the health evaluation indicators of the medical device in the multiple time periods satisfy the continuous monitoring warning conditions, including: the degree of discreteness of the health evaluation indicators of the medical device in the multiple time periods satisfies the discrete conditions, and / or the change trend of the health evaluation indicators of the medical device in the multiple time periods satisfies the trend conditions. The degree of discreteness of the health evaluation indicators, such as when the standard deviation is greater than or equal to the discrete threshold, can determine that the health of the medical device is not stable enough, and the medical device can be maintained by triggering a warning event and executing a corresponding processing service. Or when the health evaluation indicators have a faster downward trend or a faster upward trend, the medical device can also be maintained by triggering a warning event and executing a corresponding processing service.

[0127] Optionally, the cumulative target value may be used as a reference to determine whether the health evaluation index of the medical device in multiple time periods meets the continuous monitoring warning condition. For example, when the discrete degree of the deviation between the health evaluation index of the medical device and the cumulative target value in multiple time periods meets the discrete condition, and / or the change trend of the deviation meets the trend condition, it is determined that the health evaluation index of the medical device in the multiple time periods meets the continuous monitoring warning condition.

[0128] Optional, see Fig.14 , the cumulative target value can be obtained by processing the device-related data of each of the multiple medical devices obtained in step S210. For example, the abnormal data (such as the maximum value and the minimum value) in the device-related data of each of the multiple medical devices are eliminated, and after the elimination is completed, the remaining data is logically operated to obtain the corresponding cumulative target value. The time range (such as seven days) of the device-related data used to determine the cumulative target value can be greater than the time range (such as one day) of the device-related data used to determine the health evaluation index; optionally, the device-related data used to determine the cumulative target value can come from multiple medical devices of the same type. The cumulative target value determined in this way can improve the accuracy of determining whether the continuous monitoring warning conditions are met.

[0129] In some embodiments, see Fig.14 , step S230 may include: when the health evaluation index of the medical device exceeds the corresponding first range, at least according to the type of the health evaluation index, determining whether to send an early warning event to the terminal device corresponding to the medical device, and / or determining the priority of the early warning event. By adopting different early warning strategies according to the type of health evaluation index, the accuracy of sending early warning events and the priority of early warning events can be improved, and the precise delivery management of service resources and precise service for medical equipment can be achieved, thereby improving efficiency and saving resources.

[0130] For example, Fig.14As shown, the health evaluation index includes at least a first type of index and a second type of index, and when the health evaluation index of the medical device exceeds the corresponding first range, at least according to the type of the health evaluation index, determining whether to send a warning event to the terminal device corresponding to the medical device includes: when the first type of index of the medical device exceeds the corresponding first range, determining whether to send a warning event to the terminal device corresponding to the medical device according to the degree to which the first type of index exceeds the first range. When the second type of index of the medical device exceeds the corresponding first range, sending a warning event to the terminal device corresponding to the medical device.

[0131] When the second type indicator exceeds the corresponding first range, a warning event may be directly sent. For example, when the device health of the medical device is less than or equal to the first health threshold, a warning event is sent to the terminal device corresponding to the medical device.

[0132] When the first type of indicator exceeds the corresponding first range, different warning strategies can be adopted according to the degree to which the first type of indicator exceeds the corresponding first range, which can improve the accuracy of sending warning events and warning event priorities, realize accurate delivery management of service resources and accurate services for medical equipment, improve efficiency, and save resources. For example, when the first type of indicator exceeds the corresponding first range to a large extent, a warning event is sent to the terminal device corresponding to the medical device; when the first type of indicator exceeds the corresponding first range to a small extent, no warning event is sent to the terminal device corresponding to the medical device, or continuous monitoring can be performed.

[0133] The first range corresponding to the first type indicator includes a first sub-range and a second sub-range, and the second sub-range is between the first range and the first sub-range; when the first type indicator is located in the first sub-range, it can be determined that the first type indicator exceeds the corresponding first range to a greater extent, and when the first type indicator is located in the second sub-range, it can be determined that the first type indicator exceeds the corresponding first range to a lesser extent.

[0134] For example, see Fig.14, when the first type indicator of the medical device exceeds the corresponding first range, determine whether to send a warning event to the terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range, including: when the first type indicator is within the first sub-range, send a warning event to the terminal device corresponding to the medical device; when the first type indicator is within the second sub-range, determine whether the first type indicator of the medical device meets the continuous monitoring warning conditions within multiple time periods, and when the first type indicator of the medical device meets the continuous monitoring warning conditions within the multiple time periods, send a warning event to the terminal device corresponding to the medical device.

[0135] Exemplarily, the health evaluation indicators of the medical device within the multiple time periods satisfy the continuous monitoring and early warning conditions, including: the discrete degree of the health evaluation indicators of the medical device within the multiple time periods satisfies the discrete condition, and / or the changing trend of the health evaluation indicators of the medical device within the multiple time periods satisfies the trend condition.

[0136] By continuously monitoring the first type of indicator when the degree to which the first type of indicator exceeds the corresponding first range is small, the accuracy of determining the warning event can be improved. For example, temporary anomalies (such as excessive gas source pressure) can be prevented from triggering warning events, thereby improving the precise delivery and management of service resources and the precise service for medical equipment.

[0137] Exemplarily, the first type of indicator includes data collected by sensors on the medical device, and the second type of indicator includes at least one of the following: the slope of the first type of indicator, the coefficient of variation of the first type of indicator, and the median of the first type of indicator. For example, the first type of indicator includes information such as the pressure and flow rate of the gas circuit and / or liquid circuit of the medical device, but is certainly not limited to this. Optionally, the first type of indicator can be data directly detected by the medical device from a sensor or other device, and the second type of indicator can be data obtained through logical operations based on the first type of indicator and / or other device-related numbers, such as the health of the device.

[0138] In some embodiments, the second type of indicator can more comprehensively reflect the status of the medical device compared to the first type of indicator. By directly sending a warning event when the second type of indicator exceeds the corresponding first range, the warning efficiency can be improved.

[0139] In some implementations, the priority of the warning event sent when the first type of indicator is within the first sub-range is higher than the priority of the warning event corresponding to the continuous monitoring warning condition; and / or the priority of the warning event corresponding to the second type of indicator is higher than the priority of the warning event corresponding to the continuous monitoring warning condition. Fig.14 , when the first type of indicator exceeds the corresponding first range to a large extent, the warning event sent is a red warning; when the first type of indicator exceeds the corresponding first range to a small extent and the first type of indicator in multiple time periods meets the continuous monitoring warning conditions, the warning event sent is a yellow warning; the warning event corresponding to the second type of indicator is a red warning, and the warning event sent when the first type of indicator and the second type of indicator are in the corresponding first range and meet the continuous monitoring warning conditions is a yellow warning. By determining the priority of the warning event according to the type of health evaluation indicator and / or the degree of exceeding the corresponding first range, the precise delivery management of service resources and the precise service of medical equipment can be improved; for example, a higher priority warning event can be sent and processed to the terminal device corresponding to the medical device in priority, and the prompt effect of the higher priority warning event can also be improved to prompt the corresponding role user to handle the higher priority warning event as soon as possible.

[0140] In some embodiments, the method also includes: determining whether the health evaluation index of the medical device obtained in at least one time period after the warning event is sent to the terminal device corresponding to the medical device meets the warning closing condition; when it is determined that the health evaluation index of the medical device obtained in the at least one time period meets the warning closing condition, sending a warning closing event to the terminal device corresponding to the medical device.

[0141] Exemplarily, the determination of whether the health evaluation index of the medical device obtained in at least one time period after the early warning event is sent to the terminal device corresponding to the medical device satisfies the early warning closing condition includes: when the health evaluation index of the medical device is within the corresponding first range in at least one time period after the early warning event is sent, and the health evaluation index of the medical device does not meet the continuous monitoring early warning condition in multiple time periods after the early warning event is sent, it is determined that the health evaluation index of the medical device meets the early warning closing condition.

[0142] Exemplarily, the determination of whether the health evaluation index of the medical device obtained in at least one time period after the warning event is sent to the terminal device corresponding to the medical device meets the warning closing condition includes: when the health evaluation index satisfies the preset warning condition, including that the health evaluation index is less than or equal to a first threshold, when the health evaluation index of the medical device is greater than or equal to a second threshold, determining that the health evaluation index of the medical device meets the warning closing condition; the second threshold is greater than or equal to the first threshold.

[0143] For example, when the device health of the medical device is less than or equal to a first health threshold, it is determined that the device health of the medical device meets the preset warning condition and a warning event is sent to the terminal device corresponding to the medical device; if after sending the warning event to the terminal device corresponding to the medical device, the device health of the medical device is greater than or equal to a second health threshold, it is determined that the device health of the medical device meets the warning closing condition; wherein, the second health threshold is greater than or equal to the first health threshold.

[0144] Exemplarily, the determination of whether the health evaluation index of the medical device obtained in at least one time period after the warning event is sent to the terminal device corresponding to the medical device meets the warning closing condition includes: when the health evaluation index satisfies the preset warning condition, including that the health evaluation index is greater than or equal to a third threshold, when the health evaluation index of the medical device is less than or equal to a fourth threshold, determining that the health evaluation index of the medical device meets the warning closing condition; the fourth threshold is less than or equal to the third threshold.

[0145] Exemplarily, after determining that the device health of a medical device meets the preset warning conditions, the warning event may not be closed when the user accepts the processing service and executes the processing service. For example, after sending the warning event, the device health of the medical device is continuously monitored; when the device health meets the warning closing condition, the warning event can be automatically closed, and the role user who does not need to perform the processing service can determine whether the fault has been resolved; the corresponding role user can also be notified that the warning event has been closed, for example, no further processing service is required or the medical device has reached a healthy state after the service. It should be noted that the device health of the medical device can be continuously monitored when the user executes the corresponding processing service according to the warning event or after executing the corresponding processing service, or the device health of the medical device can be continuously monitored when the user has not yet executed the corresponding processing service in time, and the warning event can be automatically closed when the device health meets the warning closing condition.

[0146] The condition for closing the warning event is stricter than the condition for triggering the warning event to ensure the quality of processing services.

[0147] In some embodiments, the method further includes: when there is a medical device whose device health satisfies the warning condition, determining an abnormal evaluation index that causes the device health to satisfy the warning condition; after sending the warning event to the terminal device corresponding to the medical device, when the device health of the medical device satisfies the warning condition again, and the abnormal evaluation indexes that cause the device health to satisfy the warning condition are the same, no longer sending a warning event to the terminal device corresponding to the medical device. Warning events of the same kind or type are not triggered repeatedly, and there is no need to send the warning event again to prevent interference to the user.

[0148] In some embodiments, sending a warning event to a terminal device corresponding to the medical device includes: sending a warning event to a responsible person terminal corresponding to the medical device, and prompting a user of the responsible person terminal to determine whether to create a first service work order based on the warning event, wherein the first service work order is used to instruct the service personnel of the medical device to provide service to the medical device; or sending the first service work order to a service terminal corresponding to the medical device.

[0149] In some embodiments, the method also includes: when the first service work order is not created based on the warning event or within a preset time after the medical device ends the service, when the health evaluation index of the medical device meets the corresponding warning condition again, the warning event is sent again to the terminal device corresponding to the medical device, and the priority of the warning event is upgraded.

[0150] In some embodiments, the method also includes: providing a health interface corresponding to the warning event to the responsible person terminal and / or the service terminal, and the health interface includes at least one of the following: a health evaluation indicator display area, a warning event display area, an abnormal indicator display area, and a multiple indicator display area.

[0151] Among them, the health evaluation index display area is used to display at least one of the following: the health evaluation index of the medical equipment in the current time period, the number of time periods in which the equipment health meets the standard, and the comparison result between the equipment health of the medical equipment in the current time period and the equipment health of the preset medical equipment; the early warning event display area is used to display at least one of the following: the warning time of the early warning event, the corresponding abnormal evaluation index of the early warning event, and the early warning processing result of the early warning event; the abnormal indicator display area is used to display the change trend graph / table of the abnormal evaluation index in multiple time periods; the multi-indicator display area is used to display multiple evaluation indicators of the medical equipment in the current time period.

[0152] Exemplarily, the method also includes: providing a detailed analysis interface corresponding to the abnormal evaluation index to the responsible person terminal and / or the service terminal; wherein, when the abnormal evaluation index includes time availability, the detailed analysis interface is used to display: the available time period and / or unavailable time period of the medical device, the failure type and failure time of the medical device; when the abnormal evaluation index includes test efficiency, the detailed analysis interface is used to display: the test timing affected by the failure, the failure type and failure time of the medical device; when the abnormal evaluation index includes the detection pass rate, the detailed analysis interface is used to display: the discrete degree of the detection pass rate in multiple time periods, the quality control target value graph / table, the reagent batch number of each time period, the calibration curve, and the cleaning execution status.

[0153] In some embodiments, the method further includes: adjusting a first range corresponding to the health evaluation indicator of the medical device according to at least one health evaluation indicator of the medical device, and historical warning events and / or historical first service orders of each medical device.

[0154] Exemplarily, when the device health of the medical device is greater than or equal to a third health threshold, and the number of warnings of historical warning events of the medical device is greater than or equal to the first number threshold and / or the number of historical first service orders is greater than or equal to the first number threshold, the first health threshold corresponding to the warning condition is raised; and / or when the device health of the medical device is less than or equal to a fourth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to the second number threshold and / or the number of historical first service orders is less than or equal to the second number threshold, the first health threshold corresponding to the warning condition is lowered.

[0155] In some embodiments, the method also includes: when the device health of the medical device is less than or equal to a fifth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to a third number threshold and / or the number of historical first service orders is less than or equal to a third number threshold, creating a second service order, wherein the second service order is used to instruct service to be performed on the medical device.

[0156] The medical device analysis method provided in the embodiment of the present application determines the health evaluation index of the medical device by acquiring and analyzing the device-related data of the medical device, and intelligently pushes and processes early warning events based on the health evaluation index of the medical device, thereby realizing accurate delivery and management of service resources and accurate service for medical equipment, improving efficiency and saving resources.

[0157] Please refer to the above examples. Fig.15 , Fig.151 is a flow chart of a medical device analysis method in some other embodiments of the present application. The analysis method may not be limited to monitoring and warning the health of the device.

[0158] like Fig.15 As shown, the medical device analysis method of the embodiment of the present application includes steps S310 to S330.

[0159] Step S310, obtaining device-related data of each of the plurality of medical devices, wherein the device-related data includes basic device information and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information.

[0160] Step S320: Determine at least one health evaluation index of the medical device according to the device-related data of the medical device.

[0161] Step S330: When the health evaluation index of the medical device exceeds the corresponding first range, determine whether to send a warning event to the terminal device corresponding to the medical device and / or determine the priority of the warning event at least based on the type of the health evaluation index.

[0162] By adopting different early warning strategies according to the type of health evaluation indicators, the accuracy of sending early warning events and the priority of early warning events can be improved, and precise delivery and management of service resources and precise service for medical equipment can be achieved, thereby improving efficiency and saving resources.

[0163] In some embodiments, the health evaluation indicators include at least a first type of indicator and a second type of indicator. When the health evaluation indicator of the medical device exceeds the corresponding first range, it is determined whether to send a warning event to the terminal device corresponding to the medical device at least based on the type of the health evaluation indicator, including: when the first type of indicator of the medical device exceeds the corresponding first range, determining whether to send a warning event to the terminal device corresponding to the medical device based on the degree to which the first type of indicator exceeds the first range; when the second type of indicator of the medical device exceeds the corresponding first range, sending a warning event to the terminal device corresponding to the medical device.

[0164] Exemplarily, the first range corresponding to the first type indicator includes a first sub-range and a second sub-range outside the first range, and the second sub-range is between the first range and the first sub-range.

[0165] Exemplarily, when the first type indicator of the medical device exceeds the corresponding first range, it is determined whether to send a warning event to the terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range, including: when the first type indicator is within the first sub-range, sending a warning event to the terminal device corresponding to the medical device; when the first type indicator is within the second sub-range, determining whether the first type indicator of the medical device meets the continuous monitoring warning condition within multiple time periods, and when the first type indicator of the medical device meets the continuous monitoring warning condition within the multiple time periods, sending a warning event to the terminal device corresponding to the medical device.

[0166] For example, the first type of indicator includes data collected by the sensor on the medical device, and the second type of indicator includes at least one of the following: the slope of the first type of indicator, the coefficient of variation of the first type of indicator, and the median of the first type of indicator.

[0167] Exemplarily, the warning event sent when the first type indicator is within the first sub-range has a higher priority than the warning event corresponding to the continuous monitoring warning condition; and / or the warning event sent when the second type indicator exceeds the corresponding first range has a higher priority than the warning event corresponding to the continuous monitoring warning condition.

[0168] By determining the priority of the warning event according to the type of health evaluation indicator and / or the degree of exceeding the corresponding first range, the precise delivery management of service resources and the precise service to medical equipment can be improved; for example, higher priority warning events can be sent and processed preferentially to the terminal device corresponding to the medical device, and the prompt effect of higher priority warning events can also be improved to prompt the corresponding role user to handle the higher priority warning events as soon as possible.

[0169] Please refer to the above examples. Fig.16 , Fig.16 is a schematic block diagram of a management platform 10 for medical devices in one embodiment.

[0170] like Fig.16 As shown, the medical equipment management platform 10 at least includes a communication device 11 and a data analysis device 12 .

[0171] The communication device 11 is used for encrypting data transmission with the medical device and the terminal device;

[0172] The data analysis device 12 is used to execute the steps of the medical device analysis method of the embodiment of the present application.

[0173] For example, the data analysis device 12 of the management platform includes one or more processors, and the one or more processors work individually or collectively to execute the steps of the medical device analysis method.

[0174] Among them, the processor can be used to execute a computer program stored in the memory, and when executing the computer program, implement the steps of the medical device analysis method provided in the embodiment of the present application.

[0175] The specific principles and implementation methods of the medical device management platform provided in the embodiment of the present application are similar to the medical device analysis method in the aforementioned embodiment, and will not be repeated here.

[0176] It should be understood that the terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0177] It will also be understood that the term "and / or" as used in this application and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0178] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for analyzing medical equipment, It is characterized in that For a management platform, the method comprises: Acquire device-related data of each of the plurality of medical devices, wherein the device-related data includes basic information of the device and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information; Determining at least one health evaluation indicator of the medical device according to the device-related data of the medical device; When the health evaluation index of the medical device meets the preset warning condition, a warning event is sent to the terminal device corresponding to the medical device, so that the user of the terminal device can perform corresponding processing services according to the warning event.

2. The device analysis method according to claim 1, It is characterized in that When the health evaluation index of the medical device meets the preset warning condition, sending a warning event to the terminal device corresponding to the medical device includes: When there is a health evaluation index of the medical device within the corresponding first range, determining whether the health evaluation index of the medical device in multiple time periods meets the continuous monitoring warning condition; When the health evaluation index of the medical device meets the continuous monitoring warning condition within the multiple time periods, a warning event is sent to a terminal device corresponding to the medical device.

3. The device analysis method according to claim 1, It is characterized in that Determining at least one health evaluation index of the medical device according to the device-related data of the medical device includes: Analyze the device-related data of at least one of the medical devices based on a preset health model to obtain the device health of the medical device; The health evaluation index of the medical device is within the corresponding first range, including: the device health of the medical device is greater than or equal to a first health threshold.

4. The device analysis method according to claim 3, It is characterized in that The analyzing the device-related data of at least one of the medical devices based on the preset health model to obtain the device health of the medical device includes: Analyze the device-related data of at least one of the medical devices to obtain at least one evaluation index of the medical device, wherein the evaluation index includes: time availability, test efficiency, and test pass rate; The device health of the medical device is determined according to the at least one evaluation indicator of the medical device.

5. The device analysis method according to claim 4, It is characterized in that The time availability is determined according to a ratio of a difference between a first preset statistical duration of the medical device and a fault duration in the first preset statistical duration to the first preset statistical duration; and / or The test efficiency is determined according to the ratio of the difference between the test amount of the medical device within the second preset statistical time length and the test amount corresponding to the test sequence affected by the fault within the second preset statistical time length, to the test amount within the second preset statistical time length; and / or The detection pass rate is determined based on the product of the positive rate score, the gray area rate score and the calibration failure rate score of the medical device.

6. The device analysis method according to claim 4, It is characterized in that The device health of the medical device is positively correlated with at least one of the following: the time availability of the medical device, the test efficiency of the medical device, the detection pass rate of the medical device, the product of the time availability and the test efficiency, the product of the time availability and the detection pass rate, and the product of the test efficiency and the detection pass rate; and / or, The device health of the medical device is calculated based on the product of the time availability of the medical device, the test efficiency of the medical device and the detection qualification rate of the medical device.

7. The device analysis method according to claim 3, It is characterized in that The analyzing the device-related data of at least one of the medical devices based on the preset health model to obtain the device health of the medical device includes: performing vectorization processing on device-related data of at least one of the medical devices to obtain a feature vector of the medical device; Based on the health model, the device health of the medical device is determined according to the feature vector of the medical device.

8. The device analysis method according to claim 2, It is characterized in that The health evaluation index of the medical device in the multiple time periods meets the continuous monitoring warning condition, including: The degree of discreteness of the health evaluation index of the medical device within the multiple time periods satisfies a discrete condition, and / or the change trend of the health evaluation index of the medical device within the multiple time periods satisfies a trend condition.

9. The device analysis method according to claim 3, It is characterized in that When the health evaluation index of the medical device meets the preset warning condition, sending a warning event to the terminal device corresponding to the medical device also includes: When the device health of the medical device is less than or equal to a first health threshold, a warning event is sent to a terminal device corresponding to the medical device.

10. The device analysis method according to any one of claims 1 to 9, It is characterized in that When the health evaluation index of the medical device meets the preset warning condition, sending a warning event to the terminal device corresponding to the medical device includes: When the health evaluation index of the medical device exceeds the corresponding first range, determine whether to send a warning event to the terminal device corresponding to the medical device and / or determine the priority of the warning event at least based on the type of the health evaluation index.

11. The device analysis method according to claim 10, It is characterized in that The health evaluation index includes at least a first type of index and a second type of index, and when the health evaluation index of the medical device exceeds the corresponding first range, determining whether to send a warning event to a terminal device corresponding to the medical device at least according to the type of the health evaluation index includes: When the first type indicator of the medical device exceeds the corresponding first range, determining whether to send a warning event to the terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range; When the second type indicator of the medical device exceeds the corresponding first range, a warning event is sent to a terminal device corresponding to the medical device.

12. The device analysis method according to claim 11, It is characterized in that The first range corresponding to the first type indicator includes a first sub-range and a second sub-range, and the second sub-range is between the first range and the first sub-range; When the first type indicator of the medical device exceeds the corresponding first range, determining whether to send a warning event to a terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range includes: When the first type indicator is within the first sub-range, sending a warning event to a terminal device corresponding to the medical device; When the first type of indicator is within the second sub-range, determine whether the first type of indicator of the medical device meets the continuous monitoring warning conditions within multiple time periods. When the first type of indicator of the medical device meets the continuous monitoring warning conditions within the multiple time periods, send a warning event to the terminal device corresponding to the medical device.

13. The device analysis method according to claim 11, It is characterized in that The first type of indicator includes data collected by the sensor on the medical device, and the second type of indicator includes at least one of the following: the slope of the first type of indicator, the coefficient of variation of the first type of indicator, and the median of the first type of indicator.

14. The device analysis method according to claim 12, It is characterized in that The priority of the warning event sent when the first type indicator is within the first sub-range is higher than the priority of the warning event corresponding to the continuous monitoring warning condition; and / or The priority of the warning event corresponding to the second type of indicator is higher than the priority of the warning event corresponding to the continuous monitoring warning condition.

15. The device analysis method according to any one of claims 1 to 9, It is characterized in that The method further comprises: Determining whether a health evaluation index of the medical device obtained at least one time period after sending a warning event to a terminal device corresponding to the medical device meets a warning closing condition; When it is determined that the health evaluation index of the medical device obtained in the at least one time period meets the early warning closing condition, a early warning closing event is sent to a terminal device corresponding to the medical device.

16. The device analysis method according to claim 15, It is characterized in that The determining whether the health evaluation index of the medical device obtained in at least one time period after the early warning event is sent to the terminal device corresponding to the medical device satisfies the early warning closing condition includes: When the health evaluation index of the medical device is within the corresponding first range in at least one time period after the warning event is sent, and the health evaluation index of the medical device does not meet the continuous monitoring warning condition in multiple time periods after the warning event is sent, it is determined that the health evaluation index of the medical device meets the warning closing condition; and / or In the case where the health evaluation index satisfies the preset warning condition including that the health evaluation index is less than or equal to a first threshold, when the health evaluation index of the medical device is greater than or equal to a second threshold, it is determined that the health evaluation index of the medical device satisfies the warning closing condition; the second threshold is greater than or equal to the first threshold; and / or When the health evaluation indicator satisfies the preset warning conditions, including that the health evaluation indicator is greater than or equal to the third threshold, when the health evaluation indicator of the medical device is less than or equal to the fourth threshold, it is determined that the health evaluation indicator of the medical device satisfies the warning closing condition; the fourth threshold is less than or equal to the third threshold.

17. The device analysis method according to claim 9, It is characterized in that When the device health of the medical device is less than or equal to a first health threshold, determining that the device health of the medical device meets a preset warning condition and sending a warning event to a terminal device corresponding to the medical device; If after the warning event is sent to the terminal device corresponding to the medical device, the device health of the medical device is greater than or equal to the second health threshold, it is determined that the device health of the medical device meets the warning closing condition; wherein, the second health threshold is greater than or equal to the first health threshold.

18. The device analysis method according to claim 15, It is characterized in that The method further comprises: When the device health of a medical device satisfies the warning condition, determining an abnormal evaluation index that causes the device health to satisfy the warning condition; After sending the warning event to the terminal device corresponding to the medical device, when the device health of the medical device meets the warning conditions again and the abnormal evaluation indicators that cause the device health to meet the warning conditions are the same, the warning event will no longer be sent to the terminal device corresponding to the medical device.

19. The device analysis method according to any one of claims 1 to 9, It is characterized in that The sending of the warning event to the terminal device corresponding to the medical device includes: Sending a warning event to a responsible person terminal corresponding to the medical device, and prompting a user of the responsible person terminal to determine whether to create a first service work order based on the warning event, wherein the first service work order is used to instruct a service person of the medical device to provide service for the medical device; or Send the first service work order to a service terminal corresponding to the medical device.

20. The device analysis method according to claim 19, It is characterized in that The method further comprises: If the first service work order is not created based on the warning event or within a preset time after the medical device ends the service, when the health evaluation index of the medical device meets the corresponding warning condition again, the warning event is sent again to the terminal device corresponding to the medical device, and the priority of the warning event is upgraded.

21. The device analysis method according to claim 19, It is characterized in that The method further comprises: Providing a health interface corresponding to the warning event to the responsible person terminal and / or the service terminal, wherein the health interface includes at least one of the following: a health evaluation index display area, a warning event display area, an abnormal index display area, and a multiple index display area; The health evaluation index display area is used to display at least one of the following: the health evaluation index of the medical device in the current time period, the number of time periods in which the device health meets the standard, and the comparison result between the device health of the medical device in the current time period and the device health of the preset medical device; The warning event display area is used to display at least one of the following: the warning time of the warning event, the abnormal evaluation index corresponding to the warning event, and the warning processing result of the warning event; The abnormal index display area is used to display a graph / table showing the changing trend of the abnormal evaluation index in multiple time periods; The multi-indicator display area is used to display multiple evaluation indicators of the medical equipment in the current time period.

22. The device analysis method according to claim 21, It is characterized in that The method further comprises: Providing a detailed analysis interface corresponding to the abnormal evaluation index to the responsible person terminal and / or the service terminal; Wherein, when the abnormal evaluation index includes time availability, the detailed analysis interface is used to display: the available time period and / or unavailable time period of the medical device, the fault type and fault time of the medical device; When the abnormal evaluation index includes test efficiency, the detailed analysis interface is used to display: the test timing affected by the fault, the fault type and fault time of the medical device; When the abnormal evaluation index includes the detection pass rate, the detailed analysis interface is used to display: the discrete degree of the detection pass rate in multiple time periods, the quality control target value graph / table, the reagent batch number of each time period, the calibration curve, and the cleaning execution status.

23. The device analysis method according to any one of claims 1 to 9, It is characterized in that The method further comprises: According to at least one health evaluation indicator of the medical device, and historical warning events and / or historical first service work orders of each of the medical devices, the first range corresponding to the health evaluation indicator of the medical device is adjusted.

24. The device analysis method according to claim 3, It is characterized in that When the device health of the medical device is greater than or equal to the third health threshold, and the number of warnings of historical warning events of the medical device is greater than or equal to the first number threshold and / or the number of historical first service work orders is greater than or equal to the first number threshold, the first health threshold corresponding to the warning condition is increased; and / or When the device health of the medical device is less than or equal to the fourth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to the second number threshold and / or the number of historical first service orders is less than or equal to the second number threshold, lower the first health threshold corresponding to the warning condition.

25. The device analysis method according to any one of claims 1 to 9 and 24, It is characterized in that The method further comprises: When the device health of the medical device is less than or equal to the fifth health threshold, and the number of warnings of historical warning events of the medical device is less than or equal to the third number threshold and / or the number of historical first service orders is less than or equal to the third number threshold, a second service order is created, and the second service order is used to instruct to provide service to the medical device.

26. A medical device analysis method, It is characterized in that For a management platform, the method comprises: Acquire device-related data of each of the plurality of medical devices, wherein the device-related data includes basic information of the device and at least one of the following: device operation information, device failure information, device operation information, device calibration information, device quality control information, and detection and evaluation information; Determining at least one health evaluation indicator of the medical device according to the device-related data of the medical device; When the health evaluation index of the medical device exceeds the corresponding first range, determine whether to send a warning event to the terminal device corresponding to the medical device and / or determine the priority of the warning event at least based on the type of the health evaluation index.

27. The device analysis method according to claim 26, It is characterized in that The health evaluation index includes at least a first type of index and a second type of index, and when the health evaluation index of the medical device exceeds the corresponding first range, determining whether to send a warning event to a terminal device corresponding to the medical device at least according to the type of the health evaluation index includes: When the first type indicator of the medical device exceeds the corresponding first range, determining whether to send a warning event to the terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range; When the second type indicator of the medical device exceeds the corresponding first range, a warning event is sent to a terminal device corresponding to the medical device.

28. The device analysis method according to claim 27, It is characterized in that The first range corresponding to the first type indicator includes a first sub-range and a second sub-range, and the second sub-range is between the first range and the first sub-range; When the first type indicator of the medical device exceeds the corresponding first range, determining whether to send a warning event to a terminal device corresponding to the medical device according to the degree to which the first type indicator exceeds the first range includes: When the first type indicator is within the first sub-range, sending a warning event to a terminal device corresponding to the medical device; When the first type of indicator is within the second sub-range, determine whether the first type of indicator of the medical device meets the continuous monitoring warning conditions within multiple time periods. When the first type of indicator of the medical device meets the continuous monitoring warning conditions within the multiple time periods, send a warning event to the terminal device corresponding to the medical device.

29. The device analysis method according to claim 27, It is characterized in that The first type of indicator includes data collected by the sensor on the medical device, and the second type of indicator includes at least one of the following: the slope of the first type of indicator, the coefficient of variation of the first type of indicator, and the median of the first type of indicator.

30. The device analysis method according to claim 28, It is characterized in that The priority of the warning event sent when the first type indicator is within the first sub-range is higher than the priority of the warning event corresponding to the continuous monitoring warning condition; and / or The priority of the warning event sent when the second type indicator exceeds the corresponding first range is higher than the priority of the warning event corresponding to the continuous monitoring warning condition.

31. A management system for medical equipment. It is characterized in that include: A communication device, the communication device is used to perform encrypted data transmission with the medical device and the terminal device; A data analysis device, wherein the data analysis device is used to execute the steps of the medical device analysis method as described in any one of claims 1-30.

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