Remote follow-up visit method and system for medical equipment
Through the communication connection between terminal devices, cloud servers and doctor program control devices, real-time medical data of patients are analyzed and treatment plans are determined, which solves the problem of remote follow-up of medical equipment and achieves efficient and convenient telemedicine services.
Patent Information
- Application Number
- CN202510166896.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-14
- Publication Date
- 2025-06-03
AI Technical Summary
The prior art is difficult to achieve remote follow-up of medical equipment, especially for patients whose residence is far away from the hospital and whose mobility is not convenient, which leads to difficulty in following up.
Establish communication connections through terminal equipment, cloud server and doctor program control equipment, receive and analyze the patient's real-time medical data, combine historical data and the corresponding relationship of treatment effect, determine the current treatment effect and initial treatment plan, and send it to doctor program control equipment to achieve the determination of remote target treatment plan.
Wireless remote follow-up is achieved, which reduces the doctor's ability requirements for patient data, improves follow-up efficiency, and supports real-time monitoring of cardiac function and the probability of recurrence of heart disease, promoting long-term health management of patients.
Smart Images
Figure CN120089324A_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present application relate to the field of medical data analysis, and particularly to a method and system for remote follow-up of medical devices. Background Art
[0002] Implantable medical devices are an important type of device in the medical field for monitoring, treating, and managing patients' diseases. They are designed to be implanted inside the patient's body (or at a deeper level of the body) and communicate with external devices or doctors in various ways. For example, implantable medical devices include cardiac pacemakers, implantable defibrillators (ICDs), insulin pumps, drug delivery systems, and nerve stimulators, etc.
[0003] Although implantable devices play an increasingly important role in the medical field, helping medical staff to monitor patients' health data in real time and providing a basis for continuous medical treatment and remote monitoring, follow-up is required according to the patient's condition during or after the implantation of medical devices in order to adjust the parameters of the implantable medical devices in a timely manner. For some patients who have difficulty in going to the hospital for follow-up, such as those whose place of residence is far from the hospital, in different cities or provinces, and those who are paralyzed or have limited mobility, it will be very difficult to go to the hospital for follow-up at any time. Therefore, there is an urgent need for a method for remote follow-up of medical devices to solve this problem. Summary of the Invention
[0004] The purpose of the present application aims to solve at least one of the above technical defects.
[0005] On the one hand, the embodiments of the present application provide a method for remote follow-up of medical devices, and the method includes:
[0006] Receiving real-time medical data of a patient sent by a terminal device, where the real-time medical data includes real-time programmed parameter data of an implantable medical device corresponding to the patient and real-time disease data of the patient;
[0007] Obtaining historical medical data corresponding to the patient, the correspondence between treatment effects, and the correspondence between treatment plans, where the correspondence between treatment effects is the correspondence between treatment effects and medical data, and the correspondence between treatment plans is the correspondence between medical data and treatment plans;
[0008] Determining the current treatment effect corresponding to the patient according to the real-time medical data, the historical medical data corresponding to the patient, and the correspondence between treatment effects, and determining the initial treatment plan corresponding to the patient according to the real-time medical data of the patient and the correspondence between treatment plans;
[0009] Sending the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient to a doctor's programming device, so that the doctor can determine the target treatment plan corresponding to the patient according to the current treatment effect and the initial treatment plan.
[0010] Optionally, the real-time physiological parameter data of the patient includes the real-time electrocardiogram data of the patient. After receiving the real-time medical data of the patient sent by the receiving terminal device, it further includes:
[0011] Obtain the pre-stored correspondence of the recovery situation, where the correspondence of the recovery result is the correspondence between the recovery result of the heart function and the electrocardiogram data;
[0012] Determine the current heart function recovery result of the patient according to the real-time electrocardiogram data of the patient and the correspondence of the recovery situation;
[0013] Send the current heart function recovery result to the terminal device and the doctor programmer device so that the doctor and the patient can monitor the heart function in real time.
[0014] Optionally, after receiving the real-time medical data of the patient sent by the receiving terminal device, it further includes:
[0015] Obtain the pre-stored heart recurrence correspondence, where the heart recurrence correspondence is the correspondence between the probability of heart disease recurrence and the electrocardiogram data;
[0016] Determine the current probability of heart disease recurrence of the patient according to the real-time electrocardiogram data of the patient and the heart recurrence correspondence;
[0017] Send the current probability of heart disease recurrence of the patient to the terminal device and the doctor programmer device so that the doctor and the patient can timely know the current recurrence situation of the heart disease.
[0018] Optionally, after sending the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient to the doctor programmer device, it further includes:
[0019] Receive the video and voice signal sent by the doctor programmer device and send the video and voice signal to the terminal device so that the terminal device can establish a video and voice call with the doctor programmer device after receiving the video and voice signal.
[0020] Optionally, after sending the video and voice signal to the terminal device, it further includes:
[0021] Obtain the video and voice call content between the terminal device and the doctor programmer device and store the video and voice call content in association with the patient.
[0022] Optionally, there are corresponding interaction interfaces between the cloud server, the terminal device and the doctor programmer device, and there are corresponding user graphical interfaces and interaction controls between the terminal device and the doctor programmer device.
[0023] Optionally, the interaction interface is a Retrofit interface, and the doctor programmer device and the terminal device are respectively connected to the cloud server through the Retrofit interface.
[0024] Optionally, the method further includes:
[0025] Receiving a data acquisition instruction sent by the doctor programmer device, where the data acquisition instruction is triggered by an interaction control on the user graphical interface of the doctor programmer device;
[0026] Sending the data acquisition instruction to the terminal device so that the terminal device acquires target data corresponding to the data acquisition instruction from the implantable medical device after receiving the data acquisition instruction;
[0027] Receiving the target data sent by the terminal device and sending the target data to the doctor programmer device so that the doctor programmer device displays the target data through the included user graphical interface.
[0028] Optionally, the real-time medical data is acquired by the terminal device from the implantable medical device through low-power Bluetooth (BLE) after establishing a connection with the implantable medical device through low-power Bluetooth (BLE).
[0029] On the other hand, an embodiment of the present application provides a remote follow-up system for medical devices, including:
[0030] A cloud server, configured to receive real-time medical data of a patient sent by the terminal device, determine an initial treatment plan and a current treatment effect corresponding to the patient according to a treatment effect correspondence and a treatment plan correspondence, and send the current treatment effect and the initial treatment plan corresponding to the patient to the doctor programmer device;
[0031] A terminal device, configured to acquire real-time programming parameter data from an implantable medical device corresponding to the patient and send it to the cloud server;
[0032] A doctor programmer device, configured to receive the current treatment effect and the initial treatment plan corresponding to the patient sent by the cloud server so that the doctor determines a target treatment plan corresponding to the patient according to the current treatment effect and the initial treatment plan.
[0033] Optionally, the terminal device is further configured to:
[0034] Receive a data acquisition instruction sent by the cloud server;
[0035] Acquire target data corresponding to the data acquisition instruction from the implantable medical device and send the target data to the cloud server.
[0036] Optionally, the terminal device is further configured to:
[0037] Receive the video and voice signals sent by the cloud server, and establish a video and voice call with the doctor programmer device after receiving the video and voice signals.
[0038] Optionally, the doctor programmer device is further configured to:
[0039] Receive the data acquisition instruction triggered by the doctor through the interaction control on the user graphical interface, and send the data acquisition instruction to the cloud server;
[0040] Receive the target data corresponding to the data acquisition instruction sent by the cloud server.
[0041] Optionally, the doctor programmer device is further configured to:
[0042] Receive the video and voice signal triggered by the doctor through the interaction control on the user graphical interface, and send the video and voice signal to the terminal device, so that the terminal device establishes a video and voice call with the terminal device after receiving the video and voice signal.
[0043] On the other hand, an embodiment of the present application provides an electronic device, including a processor and a memory:
[0044] The memory is configured to store machine-readable instructions, which, when executed by the processor, cause the processor to execute any one of the methods in a remote follow-up method for medical devices.
[0045] The beneficial effects brought by the technical solution provided by the embodiment of the present application at least include:
[0046] In the embodiment of the present application, a remote wireless follow-up system is realized by establishing a communication connection among the terminal device, the cloud server, and the doctor programmer device. At this time, both the patient and the doctor can complete the relevant follow-up without leaving home, which provides great convenience for both parties. And it can automatically analyze the real-time medical data and the patient's historical medical data involved in the follow-up, and determine the corresponding current treatment effect and initial treatment plan of the patient. At this time, the doctor can determine the corresponding target treatment plan of the patient according to the current treatment effect and the initial treatment plan, reducing the doctor's ability requirements for patient data and improving the follow-up efficiency more intuitively.
[0047] In the embodiment of the present application, through the correspondence between real-time electrocardiogram data and heart recurrence, the probability of the patient's heart disease recurrence can be effectively determined, and the doctor and the patient can be notified in time. This process not only helps to monitor heart health, but also provides the possibility for early intervention, promoting the long-term health management of the patient.
[0048] In an alternative embodiment of the present application, the doctor programming device can send video and voice messages to the terminal device, thereby enabling a video call between the doctor and the patient. This process not only supports telemedicine but also improves the efficiency of medical services and is greatly helpful for medical convenience.
[0049] In the present application, by reasonably designing the interaction interfaces between the cloud server, the terminal device, and the doctor programming device, as well as the corresponding user graphical interfaces and interaction controls, the user experience and system efficiency can be significantly improved, ensuring the smoothness and security of the interaction. Ultimately, patients and doctors can complete medical activities efficiently and conveniently.
[0050] In an alternative embodiment of the present application, a complete data acquisition and display process is formed from the data acquisition instruction sent by the doctor programming device to the terminal device to obtain the target data and finally displayed on the doctor programming device, ensuring that doctors can timely obtain the health data of patients and improving the effect of telemedicine. BRIEF DESCRIPTION OF THE DRAWINGS
[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0052] Figure 1 It is a schematic flowchart of a method for remote follow-up of medical devices provided by an embodiment of the present application;
[0053] Figure 2 It is a schematic architecture diagram of a remote follow-up system for medical devices provided by an embodiment of the present application;
[0054] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0055] The following details the embodiments of the present application. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below with reference to the drawings are exemplary and are only used to explain the present application and should not be construed as a limitation of the present invention.
[0056] Those skilled in the art can understand that, unless specifically stated otherwise, the singular forms "a", "an", "the" and "said" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the specification of this application means the presence of the stated features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or their groups. It should be understood that when we say an element is "connected" or "coupled" to another element, it can be directly connected or coupled to other elements, or there may also be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The phrase "and / or" used herein includes all or any unit and all combinations of one or more of the associated listed items.
[0057] To make the objectives, technical solutions and advantages of this application clearer, the following will further describe the embodiments of this application in detail with reference to the accompanying drawings.
[0058] The following will specifically describe the technical solutions of this application and how the technical solutions of this application solve the above technical problems through specific embodiments. These several specific embodiments below can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.
[0059] Specifically, as Figure 1 shown, this method can be executed by a cloud server and may include:
[0060] Step S101, receiving the real-time medical data of a patient sent by a terminal device, where the real-time medical data includes the real-time programming parameter data of an implantable medical device corresponding to the patient and the real-time physiological parameter data of the patient.
[0061] Among them, the specific form of the terminal device can be set according to actual requirements, and the embodiments of this application do not limit it. For example, the terminal device may refer to a mobile phone client that establishes a connection with the implantable medical device, and data can be transmitted between the implantable medical device and the mobile phone client through the mobile phone client. Implantable medical devices refer to devices used to treat, monitor or improve the health of patients, and they are usually implanted into the body through surgery. These devices are widely used in various medical fields, and common types include cardiac pacemakers and implantable cardioverter defibrillators, etc. The real-time medical data can be the real-time programming parameter data of the implantable medical device implanted in the patient and the real-time physiological parameter data of the patient, such as the current heart rate change and real-time electrocardiogram of the patient, etc.
[0062] In an alternative embodiment of the present application, the real-time medical data is obtained from the implantable medical device via Bluetooth Low Energy (BLE) after the terminal device establishes a connection with the implantable medical device through BLE.
[0063] Optionally, the terminal device can establish a connection with the implantable medical device via BLE and then transmit medical data with the implantable medical device via BLE. Among them, Bluetooth Low Energy (BLE) is a technology for short-range wireless communication, specifically designed for communication between low-power devices. Compared with traditional Bluetooth, BLE has lower energy consumption and longer battery life, making it very suitable for scenarios such as Internet of Things (IoT) devices, wearable devices, and health monitoring devices.
[0064] Step S102: Obtain the historical medical data corresponding to the patient, the correspondence between treatment effects, and the correspondence between treatment plans. The correspondence between treatment effects is the correspondence between treatment effects and medical data, and the correspondence between treatment plans is the correspondence between medical data and treatment plans.
[0065] Optionally, after receiving the real-time medical data of the patient, the cloud server can obtain the historical medical data bound to the patient, the correspondence between treatment effects and medical data, and the correspondence between medical data and treatment plans stored in advance. Among them, the historical medical data can include the medical data of the patient obtained previously, or the patient's previous treatment plans, medication data, and disease conditions, etc. The embodiments of the present application do not make limitations in this regard.
[0066] Treatment effects generally refer to the improvement and outcomes of a patient's health status after receiving specific treatments. By collecting and analyzing medical data, doctors can evaluate the treatment effects of previous similar patients and thus predict the possible outcomes of the current patient. For example, the treatment effects of a heart disease patient can be evaluated by monitoring data such as electrocardiograms and cardiac markers. Treatment plans refer to the specific intervention measures formulated based on medical data. Based on medical data, doctors can select the most appropriate treatment plan. For example, the tumor stage, genetic characteristics, and general health status of a cancer patient will all affect the treatment plan used (such as surgery, chemotherapy, or radiotherapy).
[0067] Step S103: Determine the current treatment effect corresponding to the patient based on the real-time medical data, the historical medical data corresponding to the patient, and the correspondence between treatment effects, and determine the initial treatment plan corresponding to the patient based on the real-time medical data of the patient and the correspondence between treatment plans.
[0068] Optionally, since the pre-stored correspondence between treatment effects represents the treatment effects achieved by different medical data, at this time, the target medical data corresponding to the patient can be obtained through comprehensive evaluation of the real-time medical data and historical medical data of the patient, and then based on the correspondence between treatment effects, the treatment effect achieved by the patient can be determined. Similarly, for the pre-stored correspondence between treatment plans, which represents the treatment plans required for different medical data, at this time, the treatment plan currently required by the patient can also be determined based on this correspondence between treatment plans. Among them, the correspondence between treatment effects and the initial correspondence between treatment plans can be obtained through intelligent model data analysis based on a large amount of medical data, treatment effects, and treatment plans.
[0069] For example, after a patient undergoes a certain heart surgery, in order to know the effect of the surgery, an implantable medical device is implanted for monitoring. At this time, the feedback data (i.e., historical medical data) of the implantable medical device in the recent period can be combined with the current follow-up data (i.e., real-time medical data) to judge the quality of the treatment effect through the correspondence between treatment effects. Similarly, for different types of heart diseases, such as ventricular tachycardia, ventricular bradycardia, asystole, and atrial fibrillation, different treatment plans (i.e., the correspondence between treatment plans) can be default prepared and stored in the database of the cloud server, and corresponding flags can be set. When the data analysis triggers the corresponding flag, the cloud server can retrieve the correspondence between treatment plans to determine the initial treatment plan.
[0070] Step S104: Send the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient to the doctor's programmer device, so that the doctor can determine the target treatment plan corresponding to the patient according to the current treatment effect and the initial treatment plan.
[0071] Optionally, after the cloud server determines the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient, the current treatment effect and the initial treatment plan corresponding to the patient can be sent to the doctor's programmer device for the doctor's reference. At this time, the doctor can determine the target treatment plan corresponding to the patient according to the received current treatment effect and the initial treatment plan.
[0072] In the embodiment of the present application, a remote wireless follow-up model is realized by establishing a communication connection among the terminal device, the cloud server, and the doctor's programmer device. At this time, both the patient and the doctor can complete the relevant follow-up without leaving home, which provides great convenience for both parties. And for the programming parameters and disease data (i.e., real-time medical data) involved in the follow-up, as well as the historical medical data uploaded by the patient to the cloud recently, an automated chart trend analysis is performed to determine the current treatment effect and the initial treatment plan corresponding to the patient, so that the doctor can determine the target treatment plan corresponding to the patient according to the current treatment effect and the initial treatment plan, reducing the doctor's ability requirements for patient data and improving the follow-up efficiency more intuitively.
[0073] In an alternative embodiment of the present application, the real-time physiological parameter data of the patient includes the real-time electrocardiogram data of the patient. After receiving the real-time medical data of the patient sent by the receiving terminal device, it further includes:
[0074] Obtain the pre-stored correspondence between recovery conditions, where the correspondence between recovery results is the correspondence between the recovery results of cardiac function and electrocardiogram data;
[0075] Determine the current cardiac function recovery result of the patient according to the real-time electrocardiogram data of the patient and the correspondence between recovery conditions;
[0076] Send the current cardiac function recovery result to the terminal device and the doctor programmer device so that the doctor and the patient can monitor the cardiac function in real time.
[0077] Optionally, the cloud server also stores the correspondence between recovery conditions, which represents the correspondence between the recovery results of cardiac function and electrocardiogram data. At this time, the current cardiac function recovery result of the patient can also be automatically determined according to the real-time electrocardiogram data included in the real-time physiological parameter data of the patient and the correspondence between recovery conditions. Further, the current cardiac function recovery result can be sent to the terminal device and the doctor programmer device so that the doctor and the patient can monitor the cardiac function in real time. For example, after the patient undergoes surgery or takes medicine, the cloud server can evaluate the recovery of cardiac function by analyzing data such as electrocardiograms through AI methods, give specific data indicators, and then send the specific data indicators to the terminal device and the doctor programmer device. The doctor and the patient can monitor the cardiac function of the patient in real time through the specific data indicators.
[0078] In an alternative embodiment of the present application, after receiving the real-time medical data of the patient sent by the receiving terminal device, it further includes:
[0079] Obtain the pre-stored cardiac recurrence correspondence, where the cardiac recurrence correspondence is the correspondence between the probability of cardiac disease recurrence and electrocardiogram data;
[0080] Determine the current probability of cardiac disease recurrence of the patient according to the real-time electrocardiogram data of the patient and the cardiac recurrence correspondence;
[0081] Send the current probability of cardiac disease recurrence of the patient to the terminal device and the doctor programmer device so that the doctor and the patient can timely know the current recurrence situation of the cardiac disease.
[0082] In practical applications, the monitoring and management of the recurrence of heart diseases are crucial parts of cardiovascular health management. In the embodiments of the present application, through the analysis of historical case data, a correlation model (such as a regression model, a machine learning model) can be established to characterize the correspondence between the probability of heart disease recurrence and electrocardiogram data for predicting the probability of heart recurrence.
[0083] Correspondingly, after receiving the real-time electrocardiogram data of a patient, based on this correspondence of heart recurrence, the current probability of heart disease recurrence of the patient can be determined, such as a value within a certain range of recurrence probability from 0% to 100%. In practical applications, high-risk, medium-risk, and low-risk classifications of the recurrence probability can also be set according to clinical requirements for subsequent processing. To ensure the accuracy and consistency of the data, denoising and standardization processing are performed on the received real-time electrocardiogram data.
[0084] Furthermore, through a secure communication protocol, the current probability of heart disease recurrence can be sent to the intelligent terminal device of the patient (such as a mobile application, a health monitoring device, etc.) to ensure that the patient receives the information in a timely manner. And the same data is also sent to the doctor's programming device to facilitate the doctor's management and decision-making. Real-time notifications can also be set. If the recurrence probability reaches a certain high-risk level, the system can automatically push an alarm to remind the doctor and the patient.
[0085] In the embodiments of the present application, through real-time electrocardiogram data and an accurate correspondence of heart recurrence, the probability of heart disease recurrence of the patient can be effectively determined and the doctor and the patient can be notified in a timely manner. This process not only helps to monitor heart health but also provides the possibility for early intervention, promoting the long-term health management of the patient.
[0086] In the embodiments of the present application, after sending the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient to the doctor's programming device, it further includes:
[0087] Receiving the video and voice signal sent by the doctor's programming device and sending the video and voice signal to the terminal device so that the terminal device can establish a video and voice call with the doctor's programming device after receiving the video and voice signal.
[0088] Optionally, the medical programming device can be configured with a camera and headphones. When the doctor needs to conduct a follow-up communication with the patient, the doctor can send a video and voice signal to the terminal device through the doctor's programming device. At this time, after receiving the video and voice signal sent by the doctor's programming device, the cloud server sends the video and voice signal to the terminal device, and the terminal device can establish a video and voice call with the doctor's programming device after receiving the video and voice signal, thus facilitating the follow-up communication between the doctor and the patient.
[0089] In an alternative embodiment of the present application, the doctor's programming device can successfully send video and voice signals to the terminal device, thereby enabling a video call between the doctor and the patient. This process not only supports telemedicine but also greatly helps to improve the efficiency and convenience of medical services.
[0090] In an alternative embodiment of the present application, after sending the video and voice signals to the terminal device, it further includes:
[0091] Obtain the video and voice call content between the terminal device and the doctor's programming device, and store the video and voice call content in association with the patient.
[0092] Optionally, when a video and voice call is established between the terminal device and the doctor's programming device, the terminal device (doctor's programming device) can initiate a call recording function, which typically includes synchronous recording of the video stream and audio stream. For example, the recording function provided by standard video call APIs or SDKs (such as WebRTC, Zoom SDK, etc.) can be used. After recording is completed, the call content is stored in a suitable format (such as MP4, AAC, WAV, etc.) to ensure convenient subsequent access and playback. Then, the recorded video and audio files are uploaded to a cloud storage service (such as AWS S3, Google Cloud Storage) and the storage path of the files is obtained. The information of the above call content is inserted into the database together with the basic information of the patient (such as patient ID, doctor ID, etc.).
[0093] Optionally, to ensure data security, it can be ensured that the call recording files are encrypted during storage and transmission, and permission control is implemented to ensure that only authorized doctors or relevant personnel can access and manage these call records to protect patient privacy. When managing data subsequently, the stored data is audited regularly to ensure that it complies with privacy policies and compliance requirements, and the data that is no longer needed is processed.
[0094] In an embodiment of the present application, storing the obtained call content in association with patient information, through reasonable data storage and protection strategies, not only helps to improve the quality and efficiency of medical services but also ensures that patient privacy is fully protected.
[0095] In an alternative embodiment of the present application, there are corresponding interaction interfaces between the cloud server, the terminal device, and the doctor's programming device, and there are corresponding user graphical interfaces and interaction controls between the terminal device and the doctor's programming device.
[0096] In practical applications, establishing an efficient interaction interface among the cloud server, the terminal device, and the doctor's programming device, and ensuring a friendly user graphical interface and interaction controls between the terminal device and the doctor's programming device are important design aspects for optimizing system functions and user experience. Optionally, there are corresponding user graphical interfaces and interaction controls between the terminal device and the doctor's programming device, that is, the terminal device and the doctor's programming device will have the same user graphical interface and interaction controls for each function, facilitating data display and operation by patients or doctors.
[0097] In an alternative embodiment of the present application, the interaction interface is a retrofit interface, and the doctor's programming device and the terminal device are respectively connected to the cloud server through the retrofit interface.
[0098] That is to say, in the present application, by reasonably designing the interaction interface among the cloud server, the terminal device, and the doctor's programming device, and carefully creating the user graphical interface and interaction controls, the user experience and system efficiency can be significantly improved, ensuring the smoothness and security of the interaction, and ultimately enabling patients and doctors to complete medical activities efficiently and conveniently.
[0099] In an alternative embodiment of the present application, the method further includes:
[0100] Receiving a data acquisition instruction sent by the doctor's programming device, where the data acquisition instruction is triggered by an interaction control on the user graphical interface of the doctor's programming device;
[0101] Sending the data acquisition instruction to the terminal device, so that the terminal device can obtain the target data corresponding to the data acquisition instruction from the implantable medical device after receiving the data acquisition instruction;
[0102] Receiving the target data sent by the terminal device and sending the target data to the doctor's programming device, so that the doctor's programming device can display the target data through the included user graphical interface.
[0103] Optionally, in order to facilitate monitoring the patient's condition at any time, the doctor can trigger a data acquisition instruction through an interaction control on the user graphical interface of the doctor's programming device to obtain some current data of the patient. For example, the data acquisition instruction can be a real-time electrocardiogram instruction for obtaining electrocardiogram data, or a real-time heart rate instruction for obtaining heart rate data, etc.
[0104] Correspondingly, after receiving the data acquisition instruction sent by the doctor programmer device, the cloud server sends the data acquisition instruction to the terminal device. After receiving the data acquisition instruction, the terminal device can obtain the target data corresponding to the data acquisition instruction from the implantable medical device, and then send the target data to the cloud server. After receiving the target data sent by the terminal device, the cloud server sends the target data to the doctor programmer device, and the doctor programmer device displays the target data through the included user graphical interface, so that the doctor can know the current health condition of the patient according to the target data.
[0105] In the embodiment of the present application, from the data acquisition instruction sent by the doctor programmer device to the terminal device obtaining the target data, and then to the final display on the doctor device, a complete data acquisition and display process is formed, ensuring that the doctor can timely obtain the health data of the patient and improving the effect of remote medical treatment.
[0106] The embodiment of the present application provides a remote follow-up system for medical devices, as Figure 2 shown. The remote follow-up system for medical devices may include: a cloud server (i.e., the cloud system in the figure), a terminal device (i.e., the customer mobile phone terminal in the figure), and a doctor programmer device (i.e., the doctor programmer terminal in the figure). Among them, the doctor programmer terminal and the customer mobile phone terminal are respectively connected to the cloud system through a real-time network connection, and can respectively implement two-way transmission of video and voice signals and interaction instructions with the cloud system, while the customer mobile phone terminal is connected to the embedded medical device (i.e., the implantable medical device) to implement data transmission. Specifically:
[0107] The cloud server is used to receive the real-time medical data of the patient sent by the terminal device, and determine the initial treatment plan and the current treatment effect corresponding to the patient according to the treatment effect correspondence and the treatment plan correspondence, and send the current treatment effect and the initial treatment plan corresponding to the patient to the doctor programmer device;
[0108] The terminal device is used to obtain the real-time programming parameter data corresponding to the patient from the implantable medical device corresponding to the patient and send it to the cloud server;
[0109] The doctor programmer device is used to receive the current treatment effect and the initial treatment plan corresponding to the patient sent by the cloud server, so that the doctor can determine the target treatment plan corresponding to the patient according to the current treatment effect and the initial treatment plan.
[0110] Optionally, the terminal device is further used for:
[0111] Receiving the data acquisition instruction sent by the cloud server;
[0112] Obtain the target data corresponding to the data acquisition instruction from the implantable medical device, and send the target data to the cloud server.
[0113] Optionally, the terminal device is further configured to:
[0114] Receive the video and voice signal sent by the cloud server, and establish a video and voice call with the doctor programmer device after receiving the video and voice signal.
[0115] Optionally, the doctor programmer device is further configured to:
[0116] Receive the data acquisition instruction triggered by the doctor through the interaction control on the user graphical interface, and send the data acquisition instruction to the cloud server;
[0117] Receive the target data corresponding to the data acquisition instruction sent by the cloud server.
[0118] Optionally, the doctor programmer device is further configured to:
[0119] Receive the video and voice signal triggered by the doctor through the interaction control on the user graphical interface, and send the video and voice signal to the terminal device, so that the terminal device establishes a video and voice call with the terminal device after receiving the video and voice signal.
[0120] The remote follow-up of the medical device in this embodiment can execute the remote follow-up method of the medical device shown in the embodiments of the present application, and its implementation principle is similar, which will not be elaborated here.
[0121] The embodiments of the present application provide an electronic device. The electronic device in the embodiments of the present application includes: a processor; and a memory, where the memory is configured to store machine-readable instructions, and when the instructions are executed by the processor, the processor executes the remote follow-up method of the medical device.
[0122] The embodiments of the present application provide an electronic device, as Figure 3 shown, Figure 3 The electronic device shown includes a processor 2001 and a memory 2003. Among them, the processor 2001 and the memory 2003 are connected, such as through a bus 2002. Optionally, the electronic device 2000 may further include a transceiver 2004. It should be noted that in practical applications, the transceiver 2004 is not limited to one, and the structure of the electronic device 2000 does not constitute a limitation to the embodiments of the present application.
[0123] The processor 2001 can be a CPU, a general-purpose processor, a DSP, an ASIC, an FPGA or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute various exemplary logic blocks, modules, and circuits described in connection with the disclosure of this application. The processor 2001 can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.
[0124] The bus 2002 can include a path for transmitting information between the above components. The bus 2002 can be a PCI bus or an EISA bus, etc. The bus 2002 can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.
[0125] The memory 2003 can be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, or it can also be an EEPROM, a CD-ROM, or other optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.
[0126] The memory 2003 is used to store the application program code for implementing the solution of this application and is controlled by the processor 2001 for execution. The processor 2001 is used to execute the application program code stored in the memory 2003 to implement Figure 2 the actions of the medical device remote follow-up system provided by the illustrated embodiment.
[0127] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the indication of the arrows, these steps do not necessarily have to be executed in the order indicated by the arrows. Unless there is a clear indication in this application, the execution of these steps does not have a strict order limit, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages. These sub-steps or stages do not necessarily have to be executed at the same moment, but can be executed at different moments, and their execution order does not necessarily have to be sequential, but can be executed alternately or in turn with at least a part of other steps or sub-steps or stages of other steps.
[0128] The above are only some embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.
Claims
1. A remote follow-up method for medical equipment, characterized in that: The method is executed by a cloud server, and the method includes: Receiving real-time medical data of a patient sent by a terminal device, the real-time medical data including real-time program-controlled parameter data of an implantable medical device corresponding to the patient and real-time physiological parameter data of the patient; Acquire historical medical data, treatment effect correspondence, and treatment plan correspondence corresponding to the patient, wherein the treatment effect correspondence is the correspondence between the treatment effect and the medical data, and the treatment plan correspondence is the correspondence between the medical data and the treatment plan; Determine the current treatment effect of the patient according to the real-time medical data, the historical medical data of the patient and the corresponding relationship between the treatment effects, and determine the initial treatment plan of the patient according to the corresponding relationship between the real-time medical data of the patient and the treatment plan; The current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient are sent to the doctor's programming device, so that the doctor can determine the target treatment plan corresponding to the patient based on the current treatment effect and the initial treatment plan.
2. The method according to claim 1, characterized in that The real-time physiological parameter data of the patient includes the real-time electrocardiogram data of the patient. After receiving the real-time medical data of the patient sent by the terminal device, the method further includes: Acquiring a pre-stored recovery status correspondence relationship, wherein the recovery result correspondence relationship is a correspondence relationship between a recovery result of cardiac function and electrocardiogram data; Determining the patient's current cardiac function recovery result according to the corresponding relationship between the patient's real-time electrocardiogram data and the recovery status; The current heart function recovery result is sent to the terminal device and the doctor programmable device, so that the doctor and the patient can monitor the heart function in real time.
3. The method according to claim 2, characterized in that After receiving the real-time medical data of the patient sent by the terminal device, the method further includes: Acquiring a pre-stored heart recurrence correspondence relationship, wherein the heart recurrence correspondence relationship is a correspondence relationship between a heart disease recurrence probability and electrocardiogram data; Determining the patient's current heart disease recurrence probability according to the patient's real-time electrocardiogram data and the heart recurrence correspondence; The patient's current heart disease recurrence probability is sent to the terminal device and the doctor's programmable instrument device, so that the doctor and the patient can know the current heart disease recurrence situation in time.
4. The method according to claim 1, characterized in that: After sending the current treatment effect corresponding to the patient and the initial treatment plan corresponding to the patient to the doctor's programmable device, the method further includes: Receive the video and voice signal sent by the doctor's programmer device, and send the video and voice signal to the terminal device, so that the terminal device establishes a video and voice call with the doctor's programmer device after receiving the video and voice signal.
5. The method according to claim 4, characterized in that After sending the video and voice signals to the terminal device, the method further includes: The video and voice call content between the terminal device and the doctor programming device is obtained, and the video and voice call content is associated and stored with the patient.
6. The method according to claim 1, characterized in that There are corresponding interactive interfaces between the cloud server, the terminal device and the doctor programming device, and there are corresponding user graphical interfaces and interactive controls between the terminal device and the doctor programming device.
7. The method according to claim 6, characterized in that The interactive interface is a retrofit interface, and the doctor programming device and the terminal device respectively establish connections with the cloud server through the retrofit interface.
8. The method according to claim 6, characterized in that The method further comprises: Receiving a data acquisition instruction sent by the doctor program control device, wherein the data acquisition instruction is triggered by an interactive control on a user graphical interface of the doctor program control device; Sending the data acquisition instruction to the terminal device, so that the terminal device acquires target data corresponding to the data acquisition instruction from the implantable medical device after receiving the data acquisition instruction; The target data sent by the terminal device is received, and the target data is sent to the doctor programming device, so that the doctor programming device displays the target data through the included user graphical interface.
9. The method according to claim 1, characterized in that: The real-time medical data is obtained from the implantable medical device via the low-power Bluetooth BLE after the terminal device establishes a connection with the implantable medical device via the low-power Bluetooth BLE.
10. A medical equipment remote follow-up system, characterized in that: include: The cloud server is used to receive the real-time medical data of the patient sent by the terminal device, and determine the initial treatment plan and the current treatment effect corresponding to the patient according to the treatment effect correspondence relationship and the treatment plan correspondence relationship, and send the current treatment effect and the initial treatment plan corresponding to the patient to the doctor's programmable instrument device; A terminal device, used for acquiring the real-time program-controlled parameter data from the implantable medical device corresponding to the patient and sending the data to the cloud server; The doctor programming device is used to receive the current treatment effect and the initial treatment plan corresponding to the patient sent by the cloud server, so that the doctor can determine the target treatment plan corresponding to the patient based on the current treatment effect and the initial treatment plan.