Hemodialysis fatigue patient-oriented health monitoring and propaganda treatment system

Abstract

The embodiment of the invention provides a hemodialysis fatigue patient-oriented health monitoring and propaganda treatment system, which comprises a cloud server and a first communication device, the patient holds the first communication device, and the cloud server comprises a health data collection module used for obtaining subjective health data and objective health data of the patient; the objective health recognition module is used for determining a first health state of the patient according to the objective health data; the subjective health recognition module is used for recognizing emotion information of the patient according to the objective health data; the reminding propaganda and education module is used for determining a pushing time point according to the living habits of the patient, the first health state and a preset treatment scheme, and pushing treatment reminding and health propaganda and education data to the first communication equipment at the pushing time point in combination with the emotion information of the patient; according to the system provided by the invention, an omnibearing and intelligent health management and adjuvant therapy platform is provided, help can be provided for the patient physiologically and psychologically at the same time, and the compliance of the patient to treatment is improved.

Description

Technical Field

[0001] This application relates to, but is not limited to, the field of medical management technology, and particularly relates to a health monitoring, publicity and treatment system for hemodialysis fatigue patients. Background Art

[0002] With the continuous development of the medical industry and the intensification of competition, in order for medical institutions to stand out in the fierce market, they must continuously innovate service models and improve the patient experience. Pre-hospital health education, as a cutting-edge service concept, is gradually becoming an important part of the winning weapon of medical institutions. Through refined and personalized services, it can not only improve the patient's medical experience, but also effectively increase the outpatient volume and the follow-up rate, thereby enhancing the hospital brand satisfaction.

[0003] Relevant research shows that more than 2 million patients with end-stage renal disease (ESRD) must receive dialysis treatment to maintain their lives. Maintenance hemodialysis (MHD), as one of the important methods for treating ESRD patients, has obvious advantages in improving renal function and prolonging life. However, it cannot completely replace the renal function, resulting in patients often suffering from physical, psychological and emotional adverse symptoms that affect their quality of life. Among them, fatigue is the most common adverse reaction in MHD patients, with a prevalence rate of 60% - 97%, seriously affecting the quality of life. Therefore, hemodialysis cannot completely replace the renal function and requires other adjuvant treatments to fill the gap.

[0004] For most patients, in addition to suffering from the adverse effects of the disease on the body, the psychological problems brought by the uncertainty of the future should also be concerned by patients and medical institutions. Therefore, how to establish a complete and efficient medical management system to intervene and guide the psychological state of patients while effectively managing the treatment of patients' diseases is a key link in improving the medical experience and treatment efficiency. Summary of the Invention

[0005] The following is an overview of the subject matter described in detail in this article. This overview is not intended to limit the scope of protection of the claims.

[0006] The embodiments of this application provide a health monitoring, publicity and treatment system for hemodialysis fatigue patients, which can provide an all-round and intelligent health management and adjuvant treatment platform and improve the patient's compliance with treatment.

[0007] To achieve the above object, a first aspect of the embodiments of the present application provides a health monitoring and publicity treatment system for hemodialysis fatigue patients, including a cloud server and a first communication device held by the patient. The cloud server includes: a health data collection module for obtaining the subjective health data and objective health data of the patient through the first communication device; an objective health identification module deployed with a pre-trained health assessment model, and the objective health identification module is used to call the health assessment model to predict the state of the objective health data and determine the first health state of the patient; a subjective health identification module for identifying the emotional information of the patient according to the objective health data; a reminder and publicity module for determining the push time point according to the patient's living habits, the first health state and a preset treatment plan, and combining the emotional information of the patient to push treatment reminders and health publicity materials to the first communication device at the push time point.

[0008] In some embodiments, it further includes a medical detection device, which is communicatively connected to the cloud server. The medical detection device is used to collect the state data of the patient and upload it to the health data collection module, and the health data collection module performs data cleaning and parsing on the state data to obtain the subjective health data and the objective health data.

[0009] In some embodiments, it further includes a second communication device, which is communicatively connected to the cloud server. The health data collection module sends the subjective health data and the objective health data to the second communication device to push relevant information to medical staff.

[0010] In some embodiments, the first communication device is communicatively connected to the second communication device, and the second communication device is further used to send medical advice information to the first communication device.

[0011] In some embodiments, the second communication device is further used to send the medical advice information to the cloud server, and the reminder and publicity module adjusts the push time point, the treatment reminder and the health publicity materials according to the medical advice information.

[0012] In some embodiments, the first communication device is further used to directly send subjective health information to the second communication device.

[0013] In some embodiments, the cloud server further includes an early warning module, which is used to analyze the first health state. If the early warning module determines that the first health state meets the preset early warning conditions, the early warning module sends early warning information to the first communication device and the second communication device.

[0014] In some embodiments, the health data collection module is further configured to collect the exercise status of the patient. When the objective health identification module determines that the exercise status is abnormal, the warning module simultaneously pushes an exercise intervention reminder to the first communication device and the second communication device.

[0015] In some embodiments, when the subjective health identification module determines that the emotional information is abnormal, the warning module sends the warning information to the second communication device.

[0016] In some embodiments, the cloud server further includes a data storage module, and the data storage module is configured to store the subjective health data and the objective health data.

[0017] The embodiments of the present application at least include the following beneficial effects: The health data collection module in the cloud server is used to collect the subjective health data and the objective health data of the patient. The objective health data represents measurable and observable health information obtained through scientific means, and the objective health data has objectivity and accuracy. By integrating and analyzing the objective health data through a pre-trained health assessment model, a relatively objective and accurate health status judgment can be provided, providing a reliable basis for subsequent treatment; while the subjective health data represents the feelings, experiences, and views of the patient's own reported health status, which is a subjective description of the patient's own health problems. By combining the patient's emotional information with the first health status, the patient's health status can be grasped more accurately; Hemodialysis fatigue patients are affected by both the disease and the lost mood. The reminder and education module combines the patient's living habits, the first health status, and the emotional information, and pushes treatment reminders and health education materials to the patient at an appropriate push time point, giving the patient positive psychological hints, which can improve the patient's compliance with treatment, make health education more effective, help the patient better manage their own health, and improve their health status; The system proposed in the present application realizes intelligent health management through the cooperation of the cloud server and the first communication device. The powerful data processing and analysis capabilities of the cloud server, as well as the direct connection between the first communication device and the patient, enable functions such as health monitoring, evaluation, reminder, and education to operate efficiently and conveniently, providing the patient with an all-round and intelligent health management and assisted treatment platform, which helps to improve the utilization efficiency of medical resources and improve the patient's medical experience and treatment effect.

[0018] Other features and advantages of the present application will be described in the following specification, and, in part, will be apparent from the specification, or will be understood by implementing the present application. The objectives and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the specification, the claims, and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the technical solutions of the present application, and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solutions of the present application, and do not constitute a limitation to the technical solutions of the present application.

[0020] Figure 1 It is an optional structural schematic diagram of a cloud server provided for an embodiment of the present application; Figure 2 It is an optional system schematic diagram of a health monitoring and publicity treatment system for hemodialysis fatigue patients provided for an embodiment of the present application; Figure 3 It is an optional structural schematic diagram of a health monitoring and publicity treatment system for hemodialysis fatigue patients provided for an embodiment of the present application. Detailed implementation manners

[0021] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0022] In the description of the present application, the meaning of "several" is one or more, the meaning of "multiple" is more than two, and understandings such as "greater than", "less than", "exceeding", etc. do not include the present number, and understandings such as "above", "below", "within", etc. include the present number.

[0023] It should be noted that although the functional modules are divided in the device schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different module division in the device or a different order in the flowchart. Terms such as "first", "second", etc. in the specification, claims or the above-mentioned drawings are used to distinguish similar objects and do not have to be used to describe a specific order or sequence.

[0024] In the related art, for most patients, in addition to suffering from the adverse effects of the disease on the body, the psychological problems brought about by the uncertainty of the future should also be concerned by patients and medical institutions.

[0025] Based on this, the embodiments of the present application provide a health monitoring and publicity treatment system for hemodialysis fatigue patients, which can provide an all-round and intelligent health management and assisted treatment platform, and can improve the compliance of patients with treatment.

[0026] The health monitoring and publicity treatment system for hemodialysis fatigue patients provided by the embodiments of the present application will be specifically described through the following embodiments. First, the health monitoring and publicity treatment system for hemodialysis fatigue patients in the embodiments of the present application will be described.

[0027] This application can be used in numerous general-purpose or special-purpose computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. For example, the cloud server proposed in the embodiments of this application can be an integrated personal computer, server computer, or multiprocessor system, etc. The first communication device, second communication device, and medical detection device proposed in the embodiments of this application can be personal computers, server computers, handheld or portable devices, tablet devices, or minicomputers, etc. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This application can also be practiced in a distributed computing environment where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0028] It should be noted that in each specific embodiment of this application, when it comes to relevant processing based on data related to the user's identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first. Moreover, the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiments of this application need to obtain the user's sensitive personal information, the user's separate permission or separate consent will be obtained through methods such as pop-up windows or redirecting to a confirmation page. After clearly obtaining the user's separate permission or separate consent, the necessary user-related data for the normal operation of the embodiments of this application will be obtained.

[0029] The following further elaborates on the embodiments of this application in conjunction with the accompanying drawings.

[0030] As Figure 1 shown, the embodiments of this application propose a health monitoring and promotional treatment system for hemodialysis fatigue patients, including a cloud server 100 and a first communication device 200. The patient holds the first communication device 200, and the cloud server 100 includes: A health data collection module 110, configured to obtain the subjective health data and objective health data of the patient through the first communication device 200; The objective health identification module 120 is deployed with a pre-trained health assessment model. The objective health identification module 120 is used to call the health assessment model and determine the first health status of the patient according to the objective health data; The subjective health identification module 130 is used to identify the emotional information of the patient according to the objective health data; The reminder and education module 140 is used to determine the push time point according to the patient's living habits, the first health status and a preset treatment plan, and combine the emotional information of the patient to push treatment reminders and health education materials to the first communication device 200 at the push time point.

[0031] It can be understood that the health data collection module 110 in the cloud server 100 is used to collect the subjective health data and objective health data of the patient. The objective health data represents measurable and observable health information obtained through scientific means. The objective health data is objective and accurate. By integrating and analyzing the objective health data through a pre-trained health assessment model, it is possible to provide a relatively objective and accurate health status judgment, providing a reliable basis for subsequent treatment; while the subjective health data represents the feelings, experiences and views of the patient's own reported health status, which is the patient's subjective description of their own health problems. By combining the patient's emotional information with the first health status, it is possible to more accurately grasp the patient's health status; the reminder and education module 140 combines the patient's living habits, the first health status and emotional information to push treatment reminders and health education materials to the patient at an appropriate push time point; the personalized push method can improve the patient's compliance with treatment. For patients with a pessimistic mood, the reminder and education module 140 can also timely push psychological counseling articles to give positive psychological hints to the patient, making the health education more effective, helping the patient better manage their own health and improve their health status; the system proposed in this application realizes intelligent health management through the cooperation of the cloud server 100 and the first communication device 200. The powerful data processing and analysis capabilities of the cloud server 100, as well as the direct connection between the first communication device 200 and the patient, enable functions such as health monitoring, assessment, reminder and education to operate efficiently and conveniently, providing a comprehensive and intelligent health management and assisted treatment platform for the patient, helping to improve the utilization efficiency of medical resources and improve the patient's medical experience and treatment effect.

[0032] It should be noted that hemodialysis fatigue patients refer to patients suffering from blood diseases who need regular hemodialysis treatment. Fatigue after dialysis refers to a subjective symptom that occurs after hemodialysis treatment in hemodialysis patients, manifested as a feeling of exhaustion and fatigue, usually lasting for several hours or even until the next day after dialysis. This fatigue is not only physical exhaustion but also mental fatigue. Patients may feel lack of vitality, difficulty in concentrating, and low mood, etc.

[0033] As Figure 2 shown, in some specific embodiments, a pre-trained large language model is deployed in the subjective health recognition module 130. The subjective health data collected by the health data collection module 110 includes symptom description questions in which patients describe their own states and feelings. The language model analyzes the symptom description text in the subjective health data, extracts symptom information representing the patient's state, and obtains the emotional information of the patient's current health state.

[0034] In some specific embodiments, a pre-trained speech recognition model may also be deployed in the subjective health recognition module 130. The patient can tell the first communication device 200 about their own state information. The first communication device 200 uploads the symptom voice expression to the cloud server 100. The speech recognition module extracts text information from the voice information. The large language model extracts the symptom description text used to describe the patient's state from the text information. The symptom description text is analyzed by the large language model to obtain symptom information for the health assessment model to evaluate the patient's symptoms; at the same time, the speech recognition model can also identify the emotional information of the patient from the voice information.

[0035] In some specific embodiments, a face recognition model may also be deployed in the subjective health recognition module 130. According to some requirements of the treatment plan, the patient needs to take pictures of some body parts and upload them to the cloud server 100 for diagnosis. When the patient takes a picture containing the face, the face recognition module can identify the symptom information and emotional information of the patient from the face image information, and the symptom information is also sent to the health assessment model.

[0036] In some specific embodiments, a storage module 150 is provided in the cloud server 100. The storage module 150 is used to store subjective health data and objective health data. The storage module 150 is specifically a database integrated in the cloud server 100. After the health data collection module 110 obtains the status data generated by the medical detection device, the health data collection module 110 also stores the status data in the storage module 150. The cloud server 100 sets different access permissions for different access roles. The patient verifies his own identity through the first communication device 200 and can query his own health data and medical records through the first communication device 200. After obtaining the authorization of the patient, the medical staff team can also query the health data and medical records of the patient by accessing the cloud server 100. Generally, when a doctor-patient relationship is established between the patient and the medical staff team, it can be considered that the medical staff team has obtained the authorization of the patient.

[0037] The first communication device 200 includes but is not limited to a smart phone, a personal computer, a wearable device, a smart bracelet or a medical special device with communication function. Software including but not limited to instant messaging software, social interaction platform, medical information software or telemedicine software can be installed on the first communication device 200. The first communication device 200 can be connected to the cloud server 100 through a mobile data network, a WiFi network, a wired network or a combination of the two.

[0038] The health assessment model is obtained by the medical staff team through training and testing with historical data. Before using the historical data to train the health assessment model, the medical staff team first obtains the consent of the patients from whom the data originated; for patients defined as mild cases by the medical staff team, after obtaining the consent of the patients, the health data of the patients will be directly uploaded to the cloud server 100, and the health assessment model will analyze and diagnose the health data; for patients defined as severe cases by the medical staff team, after the objective health identification module 120 identifies the data to obtain the first health status, the cloud server 100 will send the first health status and the initial objective health data to the medical staff team, and the medical staff team will diagnose the patient again according to the specific data to determine the second health status of the patient. At this time, the reminder and education module 140 will push according to the second health status.

[0039] The medical staff team integrates relevant materials for the personalized treatment plan of the patient and uploads them to the cloud server 100. According to the differences in each treatment course of the treatment plan of the medical staff team for the patient, the large language model extracts keywords from the text descriptions of each treatment course of the treatment plan, and searches for materials that fit the current treatment course in the materials uploaded by the medical staff team. When the treatment plan is steadily advanced, the reminder and education module 140 reasonably pushes health education materials that fit the current progress of the treatment plan according to the progress of the treatment plan.

[0040] The health education materials pushed by the reminder and education module 140 include disease introductions and explanations of the treatment process, and push the basic knowledge of the diseases suffered by the patients, including the occurrence, development, symptoms, treatment methods and prognosis of the diseases. For example, the reminder and education module 140 can introduce the common symptoms that the patient may have, as well as the currently commonly used treatment methods such as drug treatment and psychological treatment, to help the patient better understand their own condition and reduce the fear and anxiety caused by the unknown. For maintenance hemodialysis patients, push some articles or videos about the principle of hemodialysis, treatment process, common complications and coping methods, so that the patient can enhance their confidence in the treatment on the basis of understanding. Moreover, the education reminder module can elaborate on the steps, cycles and precautions of the treatment, so that the patient has a clear expectation of the treatment. For example, inform the patient of the entire treatment process, possible side effects and coping methods, so that the patient is more calm when facing the treatment and reduces the pessimistic mood caused by the uncertainty of the treatment process. For maintenance hemodialysis patients, produce some illustrated brochures or videos to introduce the hemodialysis process in detail, so that the patient and their family members have a clearer understanding of the treatment and reduce the fear and anxiety caused by the unknown. On the other hand, the reminder and education module 140 can also push disease recovery cases, push some recovery cases of the same diseases as those suffered by the patients, and elaborate on the treatment process, psychological changes and post-recovery living conditions of the patients. These real cases can let the patients see the curability of the diseases, stimulate their desire and confidence in recovery, and thus change their pessimistic mentality. At the same time, the reminder and education module 140 pushes some dietary suggestions that are helpful for improving the patient's condition and mood, provides exercise methods, exercise plans suitable for the patient and methods for improving sleep, which helps the patient improve their pessimistic mood, enhance their physical fitness, improve the patient's quality of life, and reduce the occurrence of psychological problems such as depression and anxiety.

[0041] In addition, in some embodiments of the present application, the health monitoring and publicity treatment system for hemodialysis fatigue patients further includes a medical detection device, the medical detection device is communicatively connected to the cloud server 100, and the medical detection device is used to collect the status data of the patient and upload it to the health data collection module 110, and the health data collection module 110 performs data cleaning and parsing on the status data to obtain the subjective health data and the objective health data.

[0042] Specifically, medical detection devices include, but are not limited to, thermometers, sphygmomanometers, blood glucose meters, pulse oximeters, step detectors, and uric acid detectors. After a patient obtains their own status data through a medical detection device, they can input the status data into the first communication device 200 by themselves, and the first communication device 200 uploads the status data to the cloud server 100 through the network; or, the medical detection device is connected to the first communication device 200. After the patient detects themselves through the medical detection device, the medical detection device can transmit the real-time data to the first communication device 200, and the first communication device synchronizes the status data and uploads the status data to the cloud server 100; or, the medical detection device can also be directly connected to the cloud server 100 through the network. After the patient generates status data through the medical detection device, the medical detection device transmits the status data to the cloud server 100 for diagnosis, and the medical detection device also transmits the status data to the first communication device 200 for the patient to view. For example, after a maintenance hemodialysis patient wears a step detector, the step detector can obtain the number of steps the patient walks within a certain period of time. The step detector is connected to the first communication device 200, and the first communication device 200 uploads the number of steps to the cloud server 100. According to the number of steps, the fatigue state of the patient can be judged, and the number of steps can also be used as a common reference for subjective and objective health data.

[0043] The patient inputs a description of their own status into the first communication device 200 to obtain status data containing emotional information, and the first communication device 200 also uploads the status data to the cloud server 100 at the same time.

[0044] In addition, referring to Figure 2 and Figure 3 As shown, in some embodiments of the present application, the health monitoring and publicity treatment system for hemodialysis fatigue patients further includes a second communication device 300. The second communication device 300 is communicatively connected to the cloud server 100. The health data collection module 110 sends the subjective health data and the objective health data to the second communication device 300 to push relevant information to medical staff.

[0045] Specifically, the second communication device 300 is held by medical staff. The second communication device 300 can also receive the first health status obtained through the health assessment model by the objective health identification module 120, the emotional information obtained by the subjective health identification module 130, and the treatment reminders and health publicity materials pushed by the reminder and publicity module 140. The medical staff team judges the above information and can directly adjust the patient's medical records and treatment reminders. The reminder and publicity module 140 immediately sends the updated treatment reminders to the first communication device 200, thereby reminding the patient to receive treatment with a new course of treatment.

[0046] The second communication device 300 includes, but is not limited to, a smart phone, a personal computer, a wearable device, a video interaction terminal, or a medical care terminal with communication functions. Software including, but not limited to, instant messaging software, medical information software, or remote medical software can be installed on the second communication device 300. The second communication device 300 can be connected to the cloud server 100 via a mobile data network, a WiFi network, a wired network, or a local area network.

[0047] Similarly, the second communication device 300 can be communicatively connected to the first communication device 200 via a mobile data network, a WIFI network, or a wired network. The same medical staff communication software is installed on the first communication device 200 and the second communication device 300. The first communication device 200 and the second communication device 300 can perform instant messaging via the medical staff communication software.

[0048] The second communication device 300 can include multiple communication device entities. The medical staff team includes doctors and nurses in multiple different medical fields. For example, the medical staff team can be composed of doctors and nurses in fields such as nutrition, psychology, and sports science. Each communication device entity belongs to doctors and nurses in different medical fields in the medical staff team. Doctors and nurses in different medical fields can communicate through their respective communication device entities, combine the health data and medical records in the cloud server 100, jointly discuss the most effective intervention strategies, and provide personalized treatment plans and management services for patients.

[0049] The reminder and education module 140 comprehensively considers the patient's living habits, the first health status, and the preset treatment plan to determine the push time point. For a patient who needs to take medicine regularly, the reminder and education module 140 selects a suitable time point to push a medicine-taking reminder to the patient according to the patient's medicine-taking schedule, daily routine, and current health status. In addition, after the patient receives the treatment reminder and follows the treatment plan for treatment, the patient punches in on the first communication device 200, and the punch-in message is uploaded to the cloud server 100 and updated in the patient's medical record. When the cloud server 100 does not receive the patient's punch-in message after a certain period of time of pushing the treatment reminder, the reminder and education module 140 will send the treatment reminder to the first communication device 200 again.

[0050] Meanwhile, the reminder and education module 140 also selects the push time points of health education materials according to the patient's living habits and health status to ensure that patients can better receive and understand this information. For example, for a patient with cardiovascular disease, if the first health status shows that blood pressure control is poor, the reminder and education module 140 can push some education materials on hypertension diet control and lifestyle adjustment before the patient goes to bed at night, so that the patient can better manage themselves the next day. In addition, the reminder and education module 140 also adjusts the push time points of health education materials according to the time when the patient uses the first communication device 200 and actually clicks on the health education materials, so as to ensure that patients can receive notifications of health education materials during their free time and avoid patients forgetting them.

[0051] When the patient punches in through the first communication device 200, the status data obtained by the medical detection device will also be uploaded to the cloud server 100 as the punch-in message. The second communication device 300 can query the patient's treatment plan and punch-in message from the cloud server 100. The medical staff team can clearly understand whether the patient is following the treatment plan based on the patient's punch-in message, and update the patient's treatment plan according to the status data feedback by the medical detection device. For example, after a maintenance hemodialysis patient completes the treatment set by the treatment plan, the medical detection device worn by the patient will simultaneously collect the patient's status data. For example, the smart bracelet worn by the patient is used to obtain the swing amplitude and frequency of the patient's wrist within a certain period of time to detect the patient's pulse, or the step detector equipped by the patient is used to obtain the number of steps of the patient within a certain period of time, so as to judge the patient's exercise status within a certain period of time. This exercise status is uploaded to the cloud server 100 and updated to the subjective health data and objective health data in real time. The medical staff team queries the patient's health data through the second communication device 300. Doctors and nurses in different medical fields communicate through their respective communication device entities to formulate a personalized treatment plan for the patient and timely intervene in the patient's medication, exercise and mental state, so as to effectively relieve the fatigue state of maintenance hemodialysis patients and improve the patient's quality of life.

[0052] When the subjective health recognition module 130 determines that the patient's emotional information is abnormal, the cloud server 100 sends a warning message to the second communication device 300. After receiving the warning message, the medical team communicates with the patient in a timely manner to comfort the patient. For example, the pulse information obtained through the smart bracelet worn by the patient can be used to determine the patient's heart rate, and the patient's subjective health data can be determined from the patient's heart rate. When the patient's heart rate tends to be normal, it indicates that the patient's mood is calm. When the patient's heart rate is high, it indicates that the patient is emotionally excited at this time. After the subjective health recognition module 130 recognizes the excited emotional information, it sends a warning message to the second communication device 300 through the warning module, timely notifying the medical team to intervene. In the case of abnormal patient emotional information, the warning module does not send a warning message to the first communication device 200 to avoid further extreme behavior by the patient.

[0053] Similarly, when the objective health recognition module 120 determines that the patient's first health status is abnormal, the warning module simultaneously sends warning messages to the first communication device 200 and the second communication device. The warning message includes the patient's current first health status and a preliminary treatment plan based on the first health status.

[0054] When the objective health recognition module 120 determines from the objective health data that the patient's exercise status is abnormal, for example, the patient should be resting, but the exercise status reflects that the patient has undergone intense exercise, or the patient should perform appropriate exercise to enhance recovery, but the exercise status reflects insufficient exercise by the patient, the warning module pushes an exercise intervention reminder to the first communication device 200, thereby reiterating to the patient the treatment plan given by the medical team again. The warning module also pushes an exercise intervention reminder to the second communication device 300, thereby notifying the medical team to timely understand the specific situation of the patient and conduct further treatment of the patient according to the actual situation.

[0055] The first communication device 200 and the second communication device 300 are communicatively connected through a network. The patient can directly inform the second communication device 300 of the medical team of his own physical information through the first communication device 200. The medical team communicates with the patient through the second communication device 300 and gives real-time suggestions for adjusting the body to the patient. At the same time, the medical team can also conduct interviews with the patient through the second communication device 300 regularly by means of remote meetings, video chats or text chats, etc., to understand the patient's psychological state and conduct psychological counseling for the patient immediately.

[0056] When the patient feels unwell, the first communication device 200 is also used to directly send subjective health information to the second communication device 300. The subjective health information represents the patient's feelings about their own state. The medical team analyzes the patient's health status and emotional state based on the subjective health information, synchronizes the health status to the objective health data in the cloud server 100, and synchronizes the emotional state to the subjective health data of the cloud server 100. The medical team can also communicate with the patient through the second communication device 300 to provide medical advice to the patient.

[0057] The medical team regularly accesses the cloud server 100 through the second communication device 300 to query the patient's health data within a certain period of time. For specific health data, the medical team can upload medical order information to the cloud server 100 through the second communication device 300. The server updates the patient's medical record according to the medical order information. At the same time, the medical team can also send the medical order information and education materials to the patient through the second communication device 300 and communicate with the patient immediately based on the patient's health data.

[0058] The embodiments described in the embodiments of the present application are for more clearly explaining the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application. Those skilled in the art know that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of the present application are also applicable to similar technical problems.

[0059] Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations.

[0060] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and the above drawings of the present application are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or devices.

[0061] It should be understood that in this application, "at least one (item)" means one or more, and "a plurality" means two or more. "And / or" is used to describe the association relationship of associated objects and indicates that three relationships may exist. For example, "A and / or B" may mean: only A exists, only B exists, and both A and B exist at the same time. Here, A and B can be singular or plural. The character " / " generally indicates an "or" relationship between the associated objects before and after. "At least one (item) of the following" or its similar expressions refer to any combination of these items, including any combination of single item (item) or plural items (items). For example, at least one (item) of a, b, or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a, b, and c", where a, b, and c can be single or plural.

[0062] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the above division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of devices or units can be in electrical, mechanical, or other forms.

[0063] The units described above as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0064] In addition, in each embodiment of this application, the functional units can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0065] The preferred embodiments of the embodiments of this application have been described above with reference to the drawings, but this does not limit the scope of rights of the embodiments of this application. Any modifications, equivalent replacements, and improvements made by those skilled in the art without departing from the scope and essence of the embodiments of this application shall be within the scope of rights of the embodiments of this application.

Claims

1. A health monitoring and promotion treatment system for hemodialysis fatigue patients, characterized in that: The system comprises a cloud server and a first communication device, wherein the patient holds the first communication device, and the cloud server comprises: A health data collection module, used to obtain the subjective health data and objective health data of the patient through the first communication device; An objective health identification module is deployed with a pre-trained health assessment model, and the objective health identification module is used to call the health assessment model to perform state prediction on the objective health data to determine the first health state of the patient; A subjective health recognition module, used to recognize the patient's emotional information based on the objective health data; The reminder and education module is used to determine the push time point according to the patient's living habits, the first health status and the preset treatment plan, and to push treatment reminders and health education materials to the first communication device at the push time point in combination with the patient's emotional information.

2. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 1 is characterized in that: It also includes a medical detection device, which is communicatively connected to the cloud server. The medical detection device is used to collect the patient's status data and upload it to the health data collection module. The health data collection module cleans and analyzes the status data to obtain the subjective health data and the objective health data.

3. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 1 is characterized in that: It also includes a second communication device, which is communicatively connected to the cloud server, and the health data collection module sends the subjective health data and the objective health data to the second communication device to push relevant information to medical staff.

4. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 3 is characterized in that: The first communication device is communicatively connected to the second communication device, and the second communication device is further used to send medical advice information to the first communication device.

5. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 4 is characterized in that: The second communication device is also used to send the medical advice information to the cloud server, and the reminder and education module adjusts the push time point, the treatment reminder and the health education material according to the medical advice information.

6. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 4 is characterized in that: The first communication device is further configured to directly send the subjective health information to the second communication device.

7. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 3 is characterized in that: The cloud server also includes an early warning module, which is used to analyze the first health status. If the early warning module determines that the first health status meets the preset early warning conditions, the early warning module sends early warning information to the first communication device and the second communication device.

8. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 7 is characterized in that: The health data collection module is also used to collect the patient's movement status. When the objective health identification module determines that the movement status is abnormal, the early warning module pushes a movement intervention reminder to the first communication device and the second communication device at the same time.

9. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 7 is characterized in that: When the subjective health recognition module determines that the emotional information is abnormal, the early warning module sends the early warning information to the second communication device.

10. The health monitoring and promotion treatment system for hemodialysis fatigue patients according to claim 1, characterized in that: The cloud server also includes a data storage module, which is used to store the subjective health data and the objective health data.

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