Medical method, device, equipment and readable storage medium based on medical pump

Abstract

The present invention discloses a medical method, device, equipment and readable storage medium based on a medical pump. The method comprises: receiving patient pathology data sent by a remote consultation terminal, and acquiring historical diagnosis data matching the patient pathology data from a cloud server; determining first operation data of the medical pump based on the patient pathology data and the historical diagnosis data, and controlling the medical pump device to operate with the first operation data of the medical pump. The medical method based on the medical pump proposed in the present invention realizes data sharing between medical pumps of various medical institutions based on a cloud server, thereby improving the efficiency and accuracy of medical diagnosis and treatment based on the medical pump.

Description

Technical Field

[0001] The present invention relates to the medical field, and in particular to a medical method, device, equipment and readable storage medium based on a medical pump. Background Art

[0002] Currently, medical institutions use a large number of medical pump devices such as infusion pumps or injection pumps for treatment to relieve the pressure on medical staff. However, each medical pump device and each medical institution operates independently, and disease diagnosis data cannot be shared, which is not conducive to accurate diagnosis of diseases.

[0003] The above contents are only used to assist in understanding the technical solution of the present invention and do not constitute an admission that the above contents are prior art. Summary of the invention

[0004] The main purpose of the present invention is to provide a medical method, device, equipment and readable storage medium based on a medical pump, aiming to solve the technical problem that medical pump device treatment data cannot be shared between current medical pump devices.

[0005] To achieve the above object, the present invention provides a medical method based on a medical pump, which is applied to a medical system based on a medical pump. The medical system based on a medical pump includes a medical pump device and a cloud server. The medical method based on a medical pump includes the following steps:

[0006] Receiving the patient's pathological data sent by the remote consultation terminal, and obtaining historical diagnosis data matching the patient's pathological data from the cloud server;

[0007] Based on the patient pathology data and historical diagnosis data, first operation data of the medical pump is determined, and the medical pump device is controlled to operate according to the first operation data of the medical pump.

[0008] Preferably, receiving the patient pathology data sent by the remote consultation terminal, and determining the patient identity feature data corresponding to the patient pathology data;

[0009] Determining whether there is historical diagnosis data matching the patient identity feature data in the cloud server;

[0010] If so, historical diagnosis data matching the patient identity feature data is obtained from the cloud server.

[0011] Preferably, if not present, determining the pathological characteristic data corresponding to the patient's pathological data;

[0012] Determining whether there is historical diagnosis data matching the pathological feature data in the cloud server;

[0013] If so, historical diagnosis data matching the pathological feature data is obtained from the cloud server.

[0014] Preferably, the medical pump status data corresponding to the first operation data of the medical pump is monitored in real time, and the medical pump failure probability corresponding to the medical pump status data is predicted based on a medical pump failure prediction model.

[0015] Preferably, obtaining a set of medical pump failure events stored in a cloud server;

[0016] Respectively determine the medical pump status data and the medical pump failure type corresponding to each medical pump failure event in the medical pump failure event set;

[0017] The medical pump status data is input into a neural network model, and the medical pump failure type corresponding to the medical pump status data is used as an output to train the neural network model to obtain a medical pump failure prediction model.

[0018] Preferably, determining whether the medical pump failure probability corresponding to the medical pump status data exceeds a threshold;

[0019] If the medical pump failure probability corresponding to the medical pump status data exceeds a threshold, a medical pump failure warning message is output.

[0020] Preferably, if the medical pump failure probability corresponding to the medical pump status data does not exceed a threshold value, then real-time monitoring is performed to determine whether the medical pump status data exceeds a preset status indicator data;

[0021] If the medical pump status data exceeds the preset status indicator data, it is determined that a medical pump failure event occurs;

[0022] The medical pump failure type corresponding to the medical pump failure event is determined, and the medical pump status data and the medical pump failure type corresponding to the medical pump failure event are sent to the cloud server so that the cloud server updates the medical pump failure event set.

[0023] Preferably, the patient status data corresponding to the first operation data of the medical pump is recorded in real time;

[0024] determining whether the patient status data exceeds a patient status threshold;

[0025] If the patient status data exceeds the patient status threshold, adjusting the first operation data of the medical pump to the second operation data of the medical pump;

[0026] The second medical pump operating data is used as the first medical pump operating data, and the step of controlling the medical pump device to operate with the first medical pump operating data is returned to be executed.

[0027] In addition, to achieve the above-mentioned objectives, the present invention also provides a medical pump-based telemedical device, on which a medical pump-based telemedical program is stored, and when the medical pump-based telemedical program is executed by a processor, the steps of the medical pump-based medical method described in any one of the above items are implemented.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also provides a readable storage medium, on which a medical pump-based remote medical program is stored. When the medical pump-based remote medical program is executed by a processor, the steps of any of the above-mentioned medical pump-based medical methods are implemented.

[0029] The medical method based on medical pump proposed in the present invention receives the patient pathology data sent by the remote consultation terminal, and obtains the historical diagnosis data matching the patient pathology data from the cloud server, then determines the first operation data of the medical pump based on the patient pathology data and the historical diagnosis data, and controls the medical pump device to operate with the first operation data of the medical pump. Based on the cloud server, data sharing between medical pumps of various medical institutions is realized, and the historical diagnosis data stored in the cloud server is used as medical reference data, which improves the accuracy and efficiency of medical pump diagnosis and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention;

[0031] Figure 2 It is a flow chart of the first embodiment of the medical method based on the medical pump of the present invention.

[0032] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0033] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0034] like Figure 1 As shown, Figure 1 It is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiment of the present invention.

[0035] like Figure 1As shown, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface). The memory 1005 may be a high-speed RAM memory, or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0036] Optionally, the terminal may also include a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. Among them, sensors include light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen according to the brightness of the ambient light, and the proximity sensor may turn off the display screen and / or backlight when the mobile terminal is moved to the ear. As a type of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally three axes), and can detect the magnitude and direction of gravity when stationary. It can be used for applications that identify the posture of the mobile terminal (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer, tapping), etc.; of course, the mobile terminal may also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which will not be repeated here.

[0037] Those skilled in the art will understand that Figure 1 The terminal structure shown in the figure does not constitute a limitation on the terminal, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0038] like Figure 1 As shown, the memory 1005 as a readable storage medium may include an operating device, equipment, a network communication module, a user interface module, and a remote medical program based on a medical pump.

[0039] exist Figure 1 In the terminal shown, the network interface 1004 is mainly used to connect to the background server and communicate data with the background server; the user interface 1003 is mainly used to connect to the client (user end) and communicate data with the client; and the processor 1001 can be used to call the medical pump-based telemedicine program stored in the memory 1005.

[0040] In this embodiment, the medical pump-based telemedicine device includes: a memory 1005, a processor 1001, and a medical pump-based telemedicine program stored in the memory 1005 and executable on the processor 1001, wherein the processor 1001 calls the medical pump-based telemedicine program stored in the memory 1005 and performs the following operations:

[0041] Receiving the patient's pathological data sent by the remote consultation terminal, and obtaining historical diagnosis data matching the patient's pathological data from the cloud server;

[0042] Determine first operation data of the medical pump based on the patient's pathological data and historical diagnosis data, and control the medical pump device to operate with the first operation data of the medical pump;

[0043] The medical pump status data corresponding to the first operation data of the medical pump is monitored in real time, and the medical pump failure probability corresponding to the medical pump status data is predicted based on a medical pump failure prediction model.

[0044] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0045] Receiving patient pathology data sent by the remote consultation terminal, and determining patient identity feature data corresponding to the patient pathology data;

[0046] Determining whether there is historical diagnosis data matching the patient identity feature data in the cloud server;

[0047] If so, historical diagnosis data matching the patient identity feature data is obtained from the cloud server.

[0048] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0049] If not, determining the pathological characteristic data corresponding to the patient's pathological data;

[0050] Determining whether there is historical diagnosis data matching the pathological feature data in the cloud server;

[0051] If so, historical diagnosis data matching the pathological feature data is obtained from the cloud server.

[0052] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0053] Obtain a set of medical pump failure events stored in a cloud server;

[0054] Respectively determine the medical pump status data and the medical pump failure type corresponding to each medical pump failure event in the medical pump failure event set;

[0055] The medical pump status data is input into a neural network model, and the medical pump failure type corresponding to the medical pump status data is used as an output to train the neural network model to obtain a medical pump failure prediction model.

[0056] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0057] Determining whether a medical pump failure probability corresponding to the medical pump status data exceeds a threshold;

[0058] If the medical pump failure probability corresponding to the medical pump status data exceeds a threshold, a medical pump failure warning message is output.

[0059] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0060] If the medical pump failure probability corresponding to the medical pump status data does not exceed the threshold, real-time monitoring of whether the medical pump status data exceeds the preset status indicator data;

[0061] If the medical pump status data exceeds the preset status indicator data, it is determined that a medical pump failure event occurs;

[0062] The medical pump failure type corresponding to the medical pump failure event is determined, and the medical pump status data and the medical pump failure type corresponding to the medical pump failure event are sent to the cloud server so that the cloud server updates the medical pump failure event set.

[0063] Furthermore, the processor 1001 may call a remote medical program based on a medical pump stored in the memory 1005, and further perform the following operations:

[0064] Recording in real time the patient status data corresponding to the first operation data of the medical pump;

[0065] determining whether the patient status data exceeds a patient status threshold;

[0066] If the patient status data exceeds the patient status threshold, adjusting the first operation data of the medical pump to the second operation data of the medical pump;

[0067] The second medical pump operating data is used as the first medical pump operating data, and the step of controlling the medical pump device to operate with the first medical pump operating data is returned to be executed.

[0068] The present invention also provides a medical method based on a medical pump, which is applied to a medical system based on a medical pump, wherein the medical system based on the medical pump includes a medical pump device and a cloud server. Specifically, the medical system based on the medical pump includes: a cloud server and multiple medical pump devices, wherein the multiple medical pump devices all establish a communication connection with the cloud server, wherein each of the medical pump devices includes a medical diagnostic device and a fault alarm, and the cloud server includes a medical pump diagnostic data storage device and a medical pump fault event storage device, wherein the medical pump diagnostic data storage device establishes a communication connection with the medical diagnostic device, and the medical pump fault event storage device establishes a communication connection with the fault alarm.

[0069] It should be noted that currently medical institutions use a large number of medical pump devices such as infusion pumps or injection pumps for treatment to relieve the pressure on medical staff, but each medical pump device and each medical institution operates independently, and the disease diagnosis data cannot be shared, which is not conducive to the accurate diagnosis of the disease. Therefore, in this embodiment, in order to solve the above-mentioned technical problems, the above-mentioned medical system based on medical pumps is proposed. Specifically, a cloud server is set up in the system to realize the data sharing function between multiple medical pump devices. Specifically, each medical pump device includes a medical diagnostic device, which sends the medical diagnostic data to the diagnostic data storage device in the cloud server to realize data sharing between multiple medical pump devices, provide reference for medical staff, and improve the medical diagnosis and treatment efficiency and accuracy of medical staff based on medical pumps.

[0070] Furthermore, since medical personnel cannot always pay attention to and predict in advance the operating status of the medical pump equipment, once the medical pump equipment fails, the entire medical process that relies on the medical pump equipment will be terminated. More importantly, it may pose a threat to the patient's safety. Therefore, the medical pump equipment in the above-mentioned medical pump-based medical system proposed in this embodiment also includes a fault alarm. Furthermore, in order to improve the warning success rate of the medical pump fault alarm, the cloud server also includes a medical pump fault event storage, so as to train the medical pump fault alarm through the historical medical pump failure events stored in the medical pump fault event storage, so as to improve the safety of the medical pump.

[0071] It should be noted that the diagnostic device includes a drug syringe and a data display module, wherein the drug syringe is electrically connected to the input end of the data display module, and the output end of the data display module is communicatively connected to the medical pump diagnostic data storage device of the cloud server. For example, after the drug syringe is running, the state data such as the dripping speed of the drug inside the drug syringe and the environmental pressure in which the internal drug is located are monitored in real time, and the state data such as the dripping speed of the drug inside the drug syringe and the environmental pressure in which the internal drug is located are sent to the data display module for output and display. At the same time, the state data of the drug syringe at each diagnosis and treatment stage is recorded based on the data display module, and sent to the medical pump diagnostic data storage device of the cloud server for storage.

[0072] It should be noted that the diagnostic device also includes a parameter setting module, wherein the input end of the parameter setting module establishes a communication connection with the output end of the cloud server medical pump diagnostic data storage device, and the output end of the parameter setting module establishes an electrical connection with the drug injector. Furthermore, the input end of the parameter setting module establishes a communication connection with the output end of the remote consultation terminal, wherein the parameter setting module receives historical diagnostic data stored in the cloud server medical pump diagnostic data storage device, and receives patient pathology data sent by the remote consultation terminal, so as to determine the operating parameters of the drug injector of the medical pump based on the patient pathology data and the historical diagnostic data.

[0073] It should be noted that the fault warning device includes a fault prediction module, a medical pump fault event recording module and an alarm, wherein the fault prediction module establishes a communication connection with the medical pump fault event storage device, and the output end of the fault prediction module establishes an electrical connection with the input end of the medical pump fault event recording module and the alarm.

[0074] Based on the system structure of the medical system based on the medical pump, the medical method based on the medical pump proposed in the present invention is implemented.

[0075] Specifically, refer to Figure 2 , Figure 2 It is a flow chart of the first embodiment of the medical method based on the medical pump of the present invention.

[0076] The medical pump-based medical method comprises:

[0077] Step S10, receiving the patient pathology data sent by the remote consultation terminal, and acquiring historical diagnosis data matching the patient pathology data from the cloud server;

[0078] In this step, the remote consultation terminal first performs a pathological diagnosis on the patient. Specifically, when a consultation request initiated by the patient terminal is detected, the identity information of the patient terminal is first obtained. For example, the identity authentication message pop-up box is sent to the display screen corresponding to the remote consultation terminal for visual display, or sent to the display screen corresponding to the patient terminal for visual display, and the identity information of the patient terminal is collected based on the identity authentication message pop-up box. Furthermore, in this embodiment, the identity information of the patient terminal can also be obtained based on the fingerprint collector.

[0079] Furthermore, after collecting the identity information of the patient terminal, the intelligent voice dialogue unit in the information collection module of the remote consultation terminal obtains the patient's current condition information. Specifically, the intelligent voice dialogue unit in the information collection module obtains the current condition description audio data sent by the patient terminal; pathological features are extracted from the current condition description audio data to obtain the current patient pathology data of the patient terminal.

[0080] After the remote consultation terminal collects the patient's pathological data, the patient's pathological data is sent to the medical pump device of the medical system based on the medical pump. The processor of the medical pump device receives the patient's pathological data sent by the remote consultation terminal, and obtains historical diagnosis data matching the patient's pathological data from the cloud server. Optionally, the patient's identity feature data corresponding to the patient's pathological data is determined, and historical diagnosis data matching the patient's identity feature data is obtained from the cloud server. The pathological feature data corresponding to the patient's pathological data, i.e., the type of disease and the patient's drug allergy information, etc., is determined, and then the historical diagnosis data matching the pathological feature data is obtained from the cloud server.

[0081] Specifically, step S10 includes:

[0082] Step a, receiving the patient pathology data sent by the remote consultation terminal, and determining the patient identity feature data corresponding to the patient pathology data;

[0083] Step b, determining whether there is historical diagnosis data matching the patient identity feature data in the cloud server;

[0084] Step c: if so, obtaining historical diagnosis data matching the patient identity feature data from the cloud server.

[0085] In this step, it can be understood that the medical pump device proposed in the present invention uploads the patient's diagnosis and treatment data to the cloud server for storage after each diagnosis and treatment process. Specifically, the patient's identity feature data and the patient's diagnostic data are associated and uploaded to the cloud server for storage as reference data for subsequent diagnosis.

[0086] After receiving the patient pathology data sent by the remote consultation terminal, the patient identity feature data corresponding to the patient pathology data is determined, and the cloud server is queried whether there is historical diagnosis data matching the patient identity feature data, that is, whether there is a historical diagnosis record of the current patient. If so, the historical diagnosis data matching the patient identity feature data is obtained from the cloud server and output for display, so that the doctor terminal can determine the medical pump operating parameters based on the historical diagnosis data.

[0087] Furthermore, after step b, the method further comprises:

[0088] Step c, if not present, determining the pathological characteristic data corresponding to the patient's pathological data;

[0089] Step d, determining whether there is historical diagnosis data matching the pathological feature data in the cloud server;

[0090] Step e: if any, obtain historical diagnosis data matching the pathological feature data from the cloud server.

[0091] If there is no historical diagnosis data matching the patient's identity feature data in the cloud server, continue to query whether there is historical diagnosis data matching the pathological feature data in the cloud server, that is, whether there are diagnosis and treatment records of other patients with similar conditions to the current patient, so as to use the diagnosis and treatment records of other patients with similar conditions to the current patient as reference data to improve the accuracy of the doctor's diagnosis.

[0092] Step S20, determining first operation data of the medical pump based on the patient's pathological data and historical diagnosis data, and controlling the medical pump device to operate with the first operation data of the medical pump.

[0093] In this step, after obtaining the patient's pathological data and historical diagnostic data, the historical diagnostic data is used as reference data to analyze the patient's pathological data to determine the first operating data of the medical pump that matches the patient's pathological data. For example, the historical diagnostic data is the historical diagnostic data of the current patient, and the current patient's drug treatment history and drug allergy information are determined based on the current patient's historical diagnostic data. The first operating data of the current medical pump is determined based on the current patient's drug treatment history and drug allergy information, wherein the first operating data of the medical pump includes the drug dripping rate in the medical pump and the medical pump pressure parameters, and the medical pump device is controlled to operate with the first operating data of the medical pump.

[0094] Furthermore, after step S20, the method further includes:

[0095] Step f, recording in real time the patient status data corresponding to the first operating data of the medical pump;

[0096] Step g, determining whether the patient status data exceeds a patient status threshold;

[0097] Step h, if the patient status data exceeds the patient status threshold, adjusting the first operation data of the medical pump to the second operation data of the medical pump;

[0098] Step i: using the second operating data of the medical pump as the first operating data of the medical pump, and returning to execute the step of controlling the medical pump device to operate with the first operating data of the medical pump.

[0099] It should be noted that the medical pump device proposed in this embodiment is connected to body status monitoring instruments such as a pulse detector and an electrocardiograph. After the medical pump device operates with the first operating data, a monitoring instruction is sent to the body status monitoring instruments such as the pulse detector and the electrocardiograph to control the body status monitoring instruments such as the pulse detector and the electrocardiograph to automatically start operating, and send the pulse signal and the electrocardiograph signal to the medical pump device in real time, so that the medical pump device can record the patient status data corresponding to the first operating data of the medical pump in real time, that is, the patient's pulse data and electrocardiograph data under the first operating data of the medical pump, and judge whether the patient status data exceeds the patient status threshold, such as judging whether the currently monitored pulse data value exceeds the maximum value of the patient's pulse beat. If it exceeds the patient status threshold, the first operating data of the medical pump is adjusted to the second operating data of the medical pump, for example, the drug drip rate and the medical pump pressure parameters in the medical pump are reduced, and the above-mentioned step of controlling the medical pump device to operate with the first operating data of the medical pump is returned to execute.

[0100] The medical method based on the medical pump proposed in this embodiment receives the patient's pathological data sent by the remote consultation terminal, and obtains the historical diagnosis data matching the patient's pathological data from the cloud server, and then determines the first operation data of the medical pump based on the patient's pathological data and the historical diagnosis data, and controls the medical pump device to operate with the first operation data of the medical pump, thereby realizing data sharing between medical pumps of various medical institutions, and thus improving the efficiency and accuracy of medical diagnosis and treatment based on the medical pump.

[0101] Based on the above first embodiment, a second embodiment of the present invention is proposed. In this embodiment, after step S20, the following steps are further included:

[0102] Step S30, monitoring the medical pump status data corresponding to the first operation data of the medical pump in real time, and predicting the medical pump failure probability corresponding to the medical pump status data based on a medical pump failure prediction model;

[0103] In this step, it is understandable that medical personnel cannot always pay attention to and predict in advance the operating status of the medical pump equipment. Once the medical pump equipment fails, the entire medical process that relies on the medical pump equipment will be terminated. More importantly, it may pose a threat to the patient's safety. Therefore, when using the medical pump, it is necessary to prevent the failure of the medical pump in advance. Specifically, the medical pump status data corresponding to the first operating data of the medical pump, such as the pressure value of the medical pump and other medical pump status data, is monitored in real time. The medical pump status data is then transmitted to the medical pump failure prediction model to obtain the corresponding medical pump failure probability, and based on the medical pump failure probability, it is determined whether the medical pump equipment has a failure event during use. Optionally, the medical pump status data is obtained once at a preset time, and the medical pump status data is input into the medical pump failure prediction model to obtain the corresponding medical pump failure probability.

[0104] Specifically, before step S30, the method further includes:

[0105] Obtain a set of medical pump failure events stored in a cloud server;

[0106] Respectively determine the medical pump status data and the medical pump failure type corresponding to each medical pump failure event in the medical pump failure event set;

[0107] The medical pump status data is input into a neural network model, and the medical pump failure type corresponding to the medical pump status data is used as an output to train the neural network model to obtain a medical pump failure prediction model.

[0108] In this step, it can be understood that in order to improve the prediction accuracy of the medical pump failure prediction model, the medical pump failure event set stored in the cloud server is used as training data to train the neural network model to obtain a medical pump failure prediction model that fits the medical pump equipment. Specifically, the medical pump status data corresponding to the medical pump failure event in the medical pump failure event set is used as input, and the medical pump failure type corresponding to the medical pump status data is used as output, and the neural network model is continuously trained until the loss function of the training neural network model reaches a preset convergence condition.

[0109] Step S40, determining whether the medical pump failure probability corresponding to the medical pump status data exceeds a threshold;

[0110] Step S50: If the medical pump failure probability corresponding to the medical pump status data exceeds a threshold, a medical pump failure warning message is output.

[0111] It should be noted that if it is detected based on the medical pump fault prediction model that the medical pump failure probability corresponding to the current medical pump status data exceeds a threshold, an alarm instruction is sent to the fault warning device corresponding to the current medical pump equipment to output a medical pump failure warning message based on the fault warning device, such as sending an alarm prompt sound, thereby prompting medical personnel to replace the medical pump equipment in advance or troubleshoot the medical pump equipment, etc., so that emergency processing can be carried out in time when the medical pump equipment fails. Furthermore, after detecting that the medical pump failure probability corresponding to the current medical pump status data exceeds a threshold, the current medical pump status data and the predicted fault type corresponding to the current medical pump status data can also be obtained, and the current medical pump status data and the predicted fault type corresponding to the current medical pump status data are sent to the cloud server, so that the cloud server can update the medical pump failure event set.

[0112] Furthermore, after step S50, the method further includes:

[0113] Step S60, if the medical pump failure probability corresponding to the medical pump status data does not exceed the threshold, real-time monitoring of whether the medical pump status data exceeds the preset status indicator data;

[0114] Step S70, if the medical pump status data exceeds the preset status indicator data, it is determined that a medical pump failure event occurs;

[0115] Step S80, determining the medical pump failure type corresponding to the medical pump failure event, and sending the medical pump status data and the medical pump failure type corresponding to the medical pump failure event to the cloud server, so that the cloud server can update the medical pump failure event set.

[0116] It can be understood that in order to avoid the medical pump failure prediction model from being unable to fully and accurately predict the failure of the medical pump device, after detecting that the medical pump failure probability corresponding to the medical pump status data does not exceed the threshold based on the medical pump failure prediction model, the medical pump status data is monitored in real time to see if it exceeds the preset status indicator data, that is, the preset status indicator data when the medical pump device fails when the medical pump developer customizes the device. If the monitored medical pump status data exceeds the preset status indicator data, it is determined that a medical pump failure event has occurred, and after determining the medical pump failure type corresponding to the medical pump failure event, the medical pump status data and medical pump failure type corresponding to the medical pump failure event are sent to the cloud server so that the cloud server can update the medical pump failure event set.

[0117] The medical method based on the medical pump proposed in this embodiment monitors the medical pump status data corresponding to the first operating data of the medical pump in real time, predicts the medical pump failure probability corresponding to the medical pump status data based on a medical pump failure prediction model, and finally determines whether the medical pump failure probability corresponding to the medical pump status data exceeds a threshold; if the medical pump failure probability corresponding to the medical pump status data exceeds the threshold, a medical pump failure warning message is output, thereby improving the medical safety of the medical pump.

[0118] In addition, the present invention also provides a remote medical device based on a medical pump, the remote medical device based on a medical pump comprising:

[0119] A receiving module, used to receive the patient pathology data sent by the remote consultation terminal, and obtain historical diagnosis data matching the patient pathology data from the cloud server;

[0120] The control module is used to determine first operation data of the medical pump based on the patient's pathological data and historical diagnosis data, and control the medical pump device to operate with the first operation data of the medical pump.

[0121] In addition, an embodiment of the present invention also proposes a medical pump-based telemedical device, characterized in that a medical pump-based telemedical program is stored on the medical pump-based telemedical device, and when the medical pump-based telemedical program is executed by a processor, the steps of the above-mentioned medical pump-based medical method are implemented.

[0122] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, device or equipment including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, device or equipment. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article, device or equipment including the element.

[0123] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0124] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0125] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A medical method based on a medical pump, characterized in that: Applied to a medical system based on a medical pump, the medical system based on the medical pump includes a medical pump device and a cloud server, and the medical method based on the medical pump includes the following steps: Receiving the patient's pathological data sent by the remote consultation terminal, storing it in a cloud server, and obtaining historical diagnosis data matching the patient's pathological data from the cloud server; Determine first operation data of the medical pump based on the patient's pathological data and historical diagnosis data, and control the medical pump device to operate with the first operation data of the medical pump; The step of receiving the patient pathology data sent by the remote consultation terminal, storing it in a cloud server, and obtaining historical diagnosis data matching the patient pathology data from the cloud server includes: Receiving patient pathology data sent by the remote consultation terminal, and determining patient identity feature data corresponding to the patient pathology data, wherein the patient pathology data is obtained by extracting pathology features from audio data describing the current condition sent by the patient terminal by the information collection module of the remote consultation terminal; Determining whether there is historical diagnosis data matching the patient identity feature data in the cloud server; If so, obtaining historical diagnosis data matching the patient identification feature data from the cloud server; If not, determining the pathological characteristic data corresponding to the patient's pathological data, and obtaining historical diagnosis data matching the pathological characteristic data from the cloud server, wherein the pathological characteristic data includes: disease type and patient drug allergy information; Wherein, after the step of controlling the medical pump device to operate with the first operating data of the medical pump, the method further includes: monitoring the medical pump status data corresponding to the first operation data of the medical pump in real time, and predicting the medical pump failure probability corresponding to the medical pump status data based on a medical pump failure prediction model, wherein the medical pump failure prediction model is trained by a medical pump failure event set in the cloud server; Determining whether a medical pump failure probability corresponding to the medical pump status data exceeds a threshold; If the medical pump failure probability corresponding to the medical pump status data exceeds a threshold, outputting a medical pump failure warning message; If the medical pump failure probability corresponding to the medical pump status data does not exceed a threshold, a failure determination is performed based on the medical pump status data, and the medical pump failure event set is updated based on the determination result.

2. The medical method based on the medical pump according to claim 1, characterized in that: After the step of determining whether the medical pump failure probability corresponding to the medical pump status data exceeds a threshold, the method further includes: If the medical pump failure probability corresponding to the medical pump status data does not exceed the threshold, real-time monitoring of whether the medical pump status data exceeds the preset status indicator data; If the medical pump status data exceeds the preset status indicator data, it is determined that a medical pump failure event occurs; The medical pump failure type corresponding to the medical pump failure event is determined, and the medical pump status data and the medical pump failure type corresponding to the medical pump failure event are sent to the cloud server so that the cloud server updates the medical pump failure event set.

3. The medical method based on the medical pump according to claim 1, characterized in that: Before the step of predicting the medical pump failure probability corresponding to the medical pump status data based on the medical pump failure prediction model, the step further includes: Obtain a set of medical pump failure events stored in a cloud server; Respectively determine the medical pump status data and the medical pump failure type corresponding to each medical pump failure event in the medical pump failure event set; The medical pump status data is input into a neural network model, and the medical pump failure type corresponding to the medical pump status data is used as an output to train the neural network model to obtain a medical pump failure prediction model.

4. The medical method based on a medical pump according to any one of claims 1 to 3, characterized in that: After the step of controlling the medical pump device to operate with the first operating data of the medical pump, the method further includes: Recording in real time the patient status data corresponding to the first operation data of the medical pump; determining whether the patient status data exceeds a patient status threshold; If the patient status data exceeds the patient status threshold, adjusting the first operation data of the medical pump to the second operation data of the medical pump; The second medical pump operating data is used as the first medical pump operating data, and the step of controlling the medical pump device to operate with the first medical pump operating data is returned to be executed.

5. A remote medical device based on a medical pump, characterized in that: The medical pump-based telemedicine device comprises: A receiving module, used for receiving the patient pathology data sent by the remote consultation terminal, storing it in a cloud server, and obtaining historical diagnosis data matching the patient pathology data from the cloud server; A control module, configured to determine first operation data of a medical pump based on the patient's pathological data and historical diagnosis data, and control the medical pump device to operate with the first operation data of the medical pump; The receiving module is further used to receive the patient pathology data sent by the remote consultation terminal, and determine the patient identity feature data corresponding to the patient pathology data, wherein the patient pathology data is obtained by extracting the pathology features of the current condition description audio data sent by the patient terminal by the information acquisition module of the remote consultation terminal; determine whether there is historical diagnosis data matching the patient identity feature data in the cloud server; if so, obtain the historical diagnosis data matching the patient identity feature data from the cloud server; The receiving module is further used to determine the pathological characteristic data corresponding to the patient's pathological data if it does not exist, and obtain historical diagnosis data matching the pathological characteristic data from the cloud server, wherein the pathological characteristic data includes: disease type and patient drug allergy information; The control module is also used to monitor the medical pump status data corresponding to the first operating data of the medical pump in real time, and predict the medical pump failure probability corresponding to the medical pump status data based on a medical pump failure prediction model, wherein the medical pump failure prediction model is trained by the medical pump failure event set in the cloud server; determine whether the medical pump failure probability corresponding to the medical pump status data exceeds a threshold; if the medical pump failure probability corresponding to the medical pump status data exceeds the threshold, output a medical pump failure warning message; if the medical pump failure probability corresponding to the medical pump status data does not exceed the threshold, perform a fault judgment based on the medical pump status data, and update the medical pump failure event set based on the judgment result.

6. A remote medical device based on a medical pump, characterized in that: A medical pump-based remote medical program is stored on the medical pump-based remote medical device, and the medical pump-based remote medical program implements the steps of the medical pump-based medical method according to any one of claims 1 to 4 when executed by the processor.

7. A readable storage medium, characterized in that: The readable storage medium stores a medical pump-based telemedicine program, which, when executed by a processor, implements the steps of the medical pump-based medical method according to any one of claims 1 to 4.

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