Peritoneal dialysis intelligent management method and related equipment

Abstract

The invention discloses a peritoneal dialysis intelligent management method and related equipment. The method relates to the field of big data collection and image collection and processing. The method comprises the steps that under the condition that a peritoneal dialysis operation request of a patient is received, peritoneal dialysis operation prompt information is displayed in stages, and the operation prompt information comprises an operation prompt video; acquiring peritoneal dialysis execution image data of the patient; and under the condition that the execution image data is matched with the operation prompt video of the current stage, displaying the operation prompt information of the peritoneal dialysis of the next stage so as to continue to collect the peritoneal dialysis execution image data of the patient at the current stage for matching analysis under the condition that the operation prompt video is not matched. And the execution image data is matched with the operation prompt video of the current stage. The problems that a peritoneal dialysis patient carries out peritoneal dialysis operation at home by himself / herself, a hospital needs to spend a large amount of manpower to train and examine the peritoneal dialysis patient and family members one by one in the earlier stage, and the workload is large can be solved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to an intelligent management method for peritoneal dialysis and related equipment. Background Art

[0002] Peritoneal dialysis is one of the renal replacement therapies for patients with uremia. Peritoneal dialysis patients perform peritoneal dialysis at home. In the early stage, the hospital has to spend a lot of manpower to train and assess peritoneal dialysis patients and their families one by one, which is a heavy workload. After passing the training and assessment and being discharged from the hospital, patients and their families still often encounter various problems and need remote guidance from medical staff one by one. Summary of the invention

[0003] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0004] In order to solve the problem that peritoneal dialysis patients perform peritoneal dialysis at home, the hospital has to spend a lot of manpower in the early stage to train and assess peritoneal dialysis patients and their families one by one, which is a heavy workload. After passing the training and assessment and being discharged from the hospital and returning home, patients and their families still often encounter various problems, which require medical staff to provide remote guidance one by one. In the first aspect, the present invention proposes a peritoneal dialysis intelligent management method, which includes:

[0005] When receiving a peritoneal dialysis operation request from a patient, displaying operation prompt information of the peritoneal dialysis in stages, wherein the operation prompt information includes an operation prompt video;

[0006] Collecting the patient's peritoneal dialysis execution image data;

[0007] When the execution image data matches the operation prompt video of the current stage, the operation prompt information of the peritoneal dialysis of the next stage is displayed.

[0008] Optionally, also include:

[0009] When receiving a peritoneal dialysis operation request from the patient, generating an environmental video acquisition request;

[0010] Receiving and analyzing environmental image data acquired by the patient based on the environmental video acquisition request;

[0011] extracting risk feature information associated with the peritoneal dialysis operation from the environmental image data;

[0012] Based on the risk characteristic information, it is evaluated whether the current environment is suitable for peritoneal dialysis or a suggestion for improving the environment is generated.

[0013] Optionally, also include:

[0014] Collecting physiological index information related to peritoneal dialysis of patients;

[0015] In the case where the physiological indicator information does not match the reasonable value range, risk factor prediction is performed, and prescription adjustment suggestions and diet adjustment suggestions are sent to the medical care terminal associated with the patient;

[0016] The dietary adjustment suggestion is periodically presented to the patient before receiving a feedback message of the prescription adjustment suggestion.

[0017] Optionally, the peritoneal dialysis catheter is provided with a colored reference tube segment of a preset color, and the colored reference tube segment is used to be provided at the peritoneal dialysis outlet. The method further includes:

[0018] Acquire a lighting reference image data set of the colored reference pipe segment under different lighting conditions;

[0019] Periodically acquiring image data of the peritoneal dialysis outlet of the patient, wherein the image data includes image data of the outlet catheter and image data of skin tissue around the catheter;

[0020] Correcting the skin tissue image data around the catheter based on the outlet catheter image data and the illumination reference image data set;

[0021] The corrected periductal skin tissue image data were analyzed to match the corresponding exit site infection.

[0022] Optionally, also include:

[0023] Obtain the waste liquid outflow temperature at the dialysis outlet;

[0024] The peritoneal dialysis fluid bag to be injected is heated based on the waste fluid outflow temperature, so that the temperature of the peritoneal dialysis fluid reaches and is maintained at the waste fluid outflow temperature.

[0025] Optionally, before the step of obtaining the waste liquid outflow temperature at the dialysis outlet, the method further comprises:

[0026] When the outflow speed of the waste liquid is less than the preset outflow speed, collecting image data of the drained waste liquid;

[0027] analyzing the fibrin concentration in the waste fluid based on the image data;

[0028] When the fibrin concentration obtained by analysis is greater than the preset concentration, a prompt for pressurizing and filling the peritoneal dialysis fluid bag is generated.

[0029] Optionally, also include:

[0030] Obtain the waste fluid outflow temperature at the current dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length;

[0031] Based on the current waste liquid outflow temperature at the dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length, calculating the theoretical target temperature of the peritoneal dialysis fluid bag when the injection temperature at the outlet can reach the waste liquid outflow temperature;

[0032] The peritoneal dialysis fluid bag is added according to the theoretical target temperature, so that the temperature of the peritoneal dialysis fluid in the peritoneal dialysis fluid chamber reaches and is maintained at the theoretical target temperature of the peritoneal dialysis fluid bag.

[0033] In a second aspect, the present invention further provides a peritoneal dialysis intelligent management device, comprising:

[0034] A receiving unit, configured to display operation prompt information of the peritoneal dialysis in stages upon receiving a peritoneal dialysis operation request from the patient, wherein the operation prompt information includes an operation prompt video;

[0035] An acquisition unit, used for acquiring peritoneal dialysis execution image data of a patient;

[0036] The display unit is used to display the operation prompt information of the next stage of peritoneal dialysis when the execution image data matches the operation prompt video of the current stage.

[0037] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is configured to implement the steps of the intelligent peritoneal dialysis management method of any one of the first aspects described above when executing the computer program stored in the memory.

[0038] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any one of the above-mentioned intelligent peritoneal dialysis management methods of the first aspect.

[0039] In summary, the intelligent management method for peritoneal dialysis proposed in this application displays the operation prompt information of peritoneal dialysis in stages when receiving the patient's peritoneal dialysis operation request, and the operation prompt information includes an operation prompt video; collects the patient's peritoneal dialysis execution image data; and displays the operation prompt information of peritoneal dialysis in the next stage when the execution image data matches the operation prompt video of the current stage. Through real-time feedback and step-by-step guidance, the error rate of patients during the operation is significantly reduced. After completing the operation of each stage, patients can get timely feedback, which increases their confidence in the operation. With the guidance of the intelligent system, medical staff can reduce the frequency of remote guidance for each patient, so as to focus on more complex cases. The system can record the image data and patient feedback of each operation, and provide them to medical staff for subsequent analysis and guidance, forming a good closed loop of health management.

[0040] The peritoneal dialysis intelligent management method of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will be understood by technicians in this field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0042] Figure 1 A schematic diagram of a peritoneal dialysis intelligent management method provided in an embodiment of the present application;

[0043] Figure 2 A schematic diagram of the structure of a peritoneal dialysis intelligent management device provided in an embodiment of the present application;

[0044] Figure 3 A schematic diagram of the structure of an intelligent peritoneal dialysis management electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0046] In order to solve the problem of peritoneal dialysis patients performing peritoneal dialysis at home, the hospital has to spend a lot of manpower in the early stage to train and assess peritoneal dialysis patients and their families one by one, which is a heavy workload. After passing the training and assessment and being discharged from the hospital, patients and their families will still often encounter various problems that require medical staff to provide remote guidance one by one. Please refer to Figure 1 , is a flowchart of a peritoneal dialysis intelligent management method provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0047] S110, when receiving a peritoneal dialysis operation request from a patient, displaying peritoneal dialysis operation prompt information in stages, wherein the operation prompt information includes an operation prompt video.

[0048] S120, collecting the patient's peritoneal dialysis execution image data.

[0049] S130, when the execution image data matches the operation prompt video of the current stage, displaying the operation prompt information of the next stage of peritoneal dialysis.

[0050] It is understandable that according to the patient's operation request, the system will automatically push the operation prompt information of the corresponding stage. By collecting the patient's execution image data, the system can identify the patient's current operation steps and match them with the preset operation prompt video. After confirming that the current operation is correct, the system will display the operation prompt information of the next stage to ensure that the patient follows the steps and reduces operation errors.

[0051] Exemplarily, a patient initiates a peritoneal dialysis operation request through a mobile application or smart device, and the system records the request time and patient information. For example, a patient prepares for peritoneal dialysis at home and clicks the "Start Peritoneal Dialysis" button. The system displays the operation prompt information corresponding to the current operation stage according to the patient's request, including operation step text, diagrams and videos. For example, the system displays a video of the "Prepare Equipment" stage, which includes how to prepare dialysis fluid and related equipment. The patient's image data during the operation is collected in real time through the camera of the patient's smart device (such as a mobile phone or tablet). For example, when the patient is preparing dialysis fluid, the camera captures the patient's operation in real time. The system uses image recognition technology to analyze the collected image data and compare it with the key frames of the current operation prompt video to determine whether the operation is correct. For example, if the patient successfully prepares the dialysis fluid according to the prompts in the video, the system will recognize this successful operation. Once the current operation is verified to be correct, the system will automatically display the operation prompt information for the next stage. For example, the system displays a video of "Connecting Dialysis Tube" to guide the patient how to connect safely.

[0052] Take Mr. Li, a uremia patient who has just started peritoneal dialysis, as an example. Due to work reasons, he cannot go to the hospital regularly for face-to-face guidance. In order to solve his problem, Mr. Li selected "Start peritoneal dialysis" through the smartphone application. The system recorded his request and displayed the first stage of operation video to guide him on how to prepare the dialysis fluid and disinfect the equipment. During the preparation process, Mr. Li used the mobile phone camera to shoot his own operation. The system received and analyzed the image data in real time, confirmed that he had prepared the dialysis fluid correctly, and prompted "Preparation is complete". Subsequently, the system displayed the "Connecting the Dialysis Tube" video to help Mr. Li connect safely. Throughout the operation, Mr. Li can check the prompts at any time and ask the system for help when encountering problems. In the end, Mr. Li successfully completed the entire peritoneal dialysis operation and felt at ease and confident. Through this intelligent management method, he gradually mastered all the steps and reduced his dependence on medical staff. At the same time, the medical team can also monitor his operation records through the system, provide personalized suggestions and adjustments in time, and optimize the treatment plan.

[0053] For example, the patient's health data (such as blood pressure, blood sugar, etc.) is collected through smart devices. At the same time, patients can also upload consulting questions, pictures, videos and other content. The system will also conduct regular AI robot follow-up to collect more information. Classify and analyze the various indicators uploaded by patients, perform natural language processing on consulting questions, image recognition on pictures, and regularly update the follow-up question bank. Automatically update the latest literature through the literature search system, determine and calculate relevant indicators, conduct quality assessment on data, generate personalized self-management plans, and assist patients in improving the quality of self-management. Design an AI intelligent system, incorporate common problems and solutions and operation videos into the system for reference by patients and their families, answer routine questions in a timely manner, and provide a training and learning library for medical staff. Use powerful computing systems to help patients predict potential risks and improve the quality of health management. Through cloud computing, AI analysis, image and video recognition technology, real-time and all-round monitoring of patient data is achieved, and health indicators are accurately controlled. Integrate the concept of preventive medicine into software design, and use data collection and analysis to achieve the "three early" management goals of diseases. In summary, the AI ​​consulting service software not only provides convenient health management support for patients, but also promotes the digital and intelligent development of chronic disease management, and improves patients' self-management ability and quality of life. For example, patient Xiao Li is a peritoneal dialysis patient who needs to monitor blood pressure on a daily basis. Through the AI ​​system, patients use smart devices at home to record daily blood pressure data. The system detects that Xiao Li's blood pressure fluctuates greatly, and sends reminders to let him reduce sodium intake and maintain a stable work and rest schedule. The system also uses natural language processing to answer patients' questions about "dietary recommendations for controlling hypertension" and attaches a guidance video. The impact of environmental factors (such as weather and season) on blood pressure is added to the blood pressure data analysis, and a blood pressure model is established through big data to make the prediction more accurate; personalized diet and exercise recommendations are provided to enhance patients' self-management awareness. As a result, data collection and analysis related to patients' lifestyles, environmental factors, and individual differences are increased to further improve the accuracy of the AI ​​model. For example, the blood pressure of patients with hypertension may be affected by changes in temperature, and the system can remind patients to strengthen monitoring under specific weather conditions. Expand the system's image recognition capabilities, introduce more picture samples and professional image databases, and train AI to recognize different types of infections and other symptoms, so that it can not only recognize redness and swelling, but also judge other lesions (such as rashes, ecchymosis, etc.). Provide personalized educational content based on the living habits, cultural backgrounds and disease characteristics of different patients, and update the content in a timely manner. For example, the system can provide a diet plan based on the patient's eating habits, and integrate patient feedback into the next educational content. Peritoneal dialysis patients often have to face long-term treatment and are under great psychological pressure. The system can add an emotion recognition module to judge the patient's mental state through text and voice feedback during follow-up, provide psychological support in a timely manner, and recommend ways to relieve stress.Improve the interactivity of the AI ​​consulting system, such as adding voice interaction functions to facilitate the use of elderly patients and patients with visual impairments; provide a personalized user interface so that patients can more intuitively understand their health status and various management goals. Further strengthen the encryption and privacy protection measures for patient data to ensure the security of data transmission and storage, and enhance patients' trust in the system.

[0054] In summary, the intelligent management method for peritoneal dialysis provided in the embodiment of the present application, when receiving the patient's peritoneal dialysis operation request, staged display of peritoneal dialysis operation prompt information, the operation prompt information includes an operation prompt video; collect the patient's peritoneal dialysis execution image data; when the execution image data matches the operation prompt video of the current stage, display the operation prompt information of peritoneal dialysis in the next stage. Through real-time feedback and step-by-step guidance, the error rate of patients during the operation is significantly reduced. After completing the operation of each stage, patients can get timely feedback, which increases their confidence in the operation. With the guidance of the intelligent system, medical staff can reduce the frequency of remote guidance for each patient, so as to focus on more complex cases. The system can record the image data and patient feedback of each operation, and provide it to medical staff for subsequent analysis and guidance, forming a good closed loop of health management.

[0055] According to some embodiments, using the location information and acceleration data of the patient's mobile terminal to analyze the work and rest pattern, so as to formulate a personalized peritoneal dialysis plan, is a very practical direction. The following is a specific example of how to apply this technology: Patient Xiao Li is busy at work during the day, often has more movement records during the day, and less activity at night. The acceleration data of the mobile phone also shows that the static time after 11 o'clock in the evening is longer. This shows that Xiao Li's night rest time is more regular. The AI ​​system can recommend that he perform peritoneal dialysis at night and set the replacement of dialysis fluid before resting to reduce the burden during daytime work. At the same time, the system can remind the patient to prepare for the dialysis operation at 10 o'clock every night and provide a silent mode notification to avoid disturbing the patient's sleep. Patient Xiao Wang has a habit of exercise and has an hour of walking records every morning from 6 to 7 o'clock. The mobile phone acceleration data shows that he has significant signs of exercise during this period, and is used to sitting or resting after dinner. The system can recommend Xiao Wang to perform peritoneal dialysis after dinner, so that the dialysis fluid has been discharged before exercise, which can reduce abdominal pressure during exercise. At the same time, the AI ​​system can also remind Xiao Wang to drink more water after the dialysis operation to balance the electrolyte level. The location information and acceleration data of patient Xiao Zhang show that he often travels between different locations, indicating that his work intensity is high and he moves frequently, indicating that he has a large amount of activity during the day. The AI ​​system can formulate a low-frequency, nighttime dialysis-based plan for Xiao Zhang to avoid the discomfort caused by the dialysis fluid during the day and affect his daily work. At the same time, the system can reasonably arrange the dialysis cycle according to the duration of his night rest to ensure that he has enough energy during the day. Patient Xiao Zhou works night shifts. The location information and acceleration data show that he usually works at night and has a long rest time during the day. The AI ​​system can recommend dialysis at a fixed rest time during the day based on Xiao Zhou's night shift work and rest routine. And send a reminder before the dialysis time to ensure that Xiao Zhou performs the dialysis fluid replacement operation before resting, thereby reducing the interference of night work on the dialysis plan. Therefore, based on long-term location information and acceleration data, AI can monitor the changing trend of patients' work and rest and dynamically adjust the dialysis plan. For example, if it is found that the patient's work and rest have changed (such as the rest time is advanced or delayed), the system can automatically adjust the dialysis time and send a corresponding reminder notification. Add analysis of external factors such as weather, temperature, and seasonal changes to help patients cope with the physical burden brought by different environments. For example, in hot weather, remind patients to reduce exercise intensity or extend rest time, so as to reasonably adjust the dialysis time. Combine the patient's exercise intensity and eating habits (such as meal times) with the dialysis plan to further optimize the dialysis schedule to make it more in line with individualized health management needs. Through this data analysis based on the patient's work and rest habits, a dialysis plan can be tailored for each patient, the dialysis schedule can be optimized, the interference with the patient's daily life can be reduced, and the treatment effect and quality of life can be improved.

[0056] According to some embodiments, further comprising:

[0057] When receiving a peritoneal dialysis operation request from the patient, generating an environmental video acquisition request;

[0058] Receiving and analyzing environmental image data acquired by the patient based on the environmental video acquisition request;

[0059] extracting risk feature information associated with the peritoneal dialysis operation from the environmental image data;

[0060] Based on the risk characteristic information, it is evaluated whether the current environment is suitable for peritoneal dialysis or a suggestion for improving the environment is generated.

[0061] Exemplarily, when a patient chooses to undergo peritoneal dialysis, the system automatically generates a request to prompt the patient to take an image of the current environment to assess suitability. The patient takes an image of the environment through a smart device, and the system receives and analyzes the data to identify key factors in the environment, such as the status of the air conditioner and fan, the direction of the air outlet, and the cleanliness of the surroundings. The system uses an image processing algorithm to extract risk feature information related to dialysis operations, such as whether the air conditioner or fan is turned on and its location, and whether there are potential sources of contamination (such as garbage or unsterilized equipment). Based on the extracted risk feature information, the system evaluates whether the current environment is suitable for peritoneal dialysis. If the environment is found to be unsuitable, the system will generate improvement suggestions, such as suggesting to turn off the air conditioner or fan, or to clean up the source of contamination. Thus, through real-time monitoring and evaluation, it is ensured that patients undergo dialysis in a safe and clean environment, significantly reducing infection and other operational risks. The system provides customized improvement suggestions based on the specific environment of each patient, which enhances the patient's self-management ability and confidence. By providing clear environmental requirements and suggestions, patients feel more at ease when undergoing dialysis operations, enhancing the smoothness and effectiveness of treatment.

[0062] Take Mr. Li, a uremia patient who has just started peritoneal dialysis, for example. Due to work reasons, he cannot go to the hospital for guidance regularly. Before dialysis, he uses the mobile app to select "Start peritoneal dialysis", and the system automatically asks him to take pictures of the surrounding environment. The image uploaded by Mr. Li shows that the air conditioner is facing his operating area, and there are some uncleaned debris on the table. After analysis, the system detected these risks and immediately suggested that he turn off the air conditioner and clean up the debris. Mr. Li improved the environment as suggested and then requested to continue dialysis. The system then showed an operation video to guide him on how to prepare the dialysis fluid. In the end, Mr. Li successfully completed the dialysis operation and felt at ease and confident. Through this intelligent management method, Mr. Li not only improved his self-management ability, but also successfully performed peritoneal dialysis in a comfortable and safe environment, effectively reducing the risk of infection.

[0063] In some examples, this also includes:

[0064] Collecting physiological index information related to peritoneal dialysis of patients;

[0065] In the case where the physiological indicator information does not match the reasonable value range, risk factor prediction is performed, and prescription adjustment suggestions and diet adjustment suggestions are sent to the medical care terminal associated with the patient;

[0066] The dietary adjustment suggestion is periodically presented to the patient before receiving a feedback message of the prescription adjustment suggestion.

[0067] Exemplary, in order to ensure that the patient is undergoing peritoneal dialysis, not only the environment is suitable, but also the physiological state meets the requirements. By collecting the patient's physiological index information, the system can identify potential risk factors, send prescriptions and dietary adjustment suggestions to medical staff in a timely manner, and continue to provide support to ensure that the patient's health management is more comprehensive. The system regularly collects physiological index information related to peritoneal dialysis, such as blood pressure, weight, blood sugar level, etc. through smart devices or other monitoring devices. When the collected physiological index information does not match the reasonable numerical range, the system will automatically predict risk factors and identify health problems that may have a negative impact on the dialysis effect. The system sends prescription adjustment suggestions and dietary adjustment suggestions to the patient's associated medical and nursing end to help doctors adjust the treatment plan in time to ensure that the patient's health status is improved. Before receiving the feedback message of the prescription adjustment suggestion, the system will periodically show the patient dietary adjustment suggestions to help the patient adjust the diet structure to promote health. Thus, through real-time monitoring of physiological indicators, the system can identify potential risks in a timely manner and ensure that the patient's physiological state is suitable for dialysis. Based on the analysis of physiological data, medical staff can provide patients with more personalized prescriptions and dietary adjustment suggestions to improve the effectiveness of treatment. The system ensures that patients receive continuous dietary guidance during the dialysis process and enhances the continuity of health management by periodically displaying dietary adjustment suggestions.

[0068] For example, while Mr. Li was undergoing peritoneal dialysis, the system regularly collected his physiological indicator information and found that his weight gradually increased and exceeded the reasonable range. The system automatically predicted risk factors and determined that it might be related to fluid retention. It sent prescription adjustment suggestions and dietary adjustment suggestions to Mr. Li's medical team, suggesting reducing salt intake and increasing daily activities. Before the medical staff gave feedback, the system periodically showed Mr. Li dietary adjustment suggestions to remind him to pay attention to controlling his diet. After a period of adjustment, Mr. Li's weight returned to a reasonable range and the dialysis effect improved significantly.

[0069] In some examples, the peritoneal dialysis catheter is provided with a colored reference tube segment of a preset color, and the colored reference tube segment is used to be provided at a peritoneal dialysis outlet, and the method further includes:

[0070] Acquire a lighting reference image data set of the colored reference pipe segment under different lighting conditions;

[0071] Periodically acquiring image data of the peritoneal dialysis outlet of the patient, wherein the image data includes image data of the outlet catheter and image data of skin tissue around the catheter;

[0072] Correcting the skin tissue image data around the catheter based on the outlet catheter image data and the illumination reference image data set;

[0073] The corrected periductal skin tissue image data were analyzed to match the corresponding exit site infection.

[0074] It can be understood that by setting the colored reference tube segment and the illumination reference image data, the accuracy of peritoneal dialysis outlet infection monitoring can be improved by using image processing technology. By regularly collecting and analyzing the image data of the outlet catheter and the skin around it, the system can identify early signs of infection, thereby providing timely feedback and suggestions to patients.

[0075] Exemplarily, the peritoneal dialysis catheter is provided with a colored reference tube segment of a preset color, which is located at the peritoneal dialysis outlet for subsequent image processing. Under different lighting conditions, the system obtains a lighting reference image data set of the colored reference tube segment. These data will be used for subsequent image correction to eliminate image errors caused by lighting changes. The system periodically collects image data at the patient's peritoneal dialysis outlet, which includes images of the outlet catheter and images of the skin tissue around the catheter. Based on the outlet catheter image data and the lighting reference image data set, the system corrects the image data of the skin tissue around the catheter to eliminate the influence of different lighting conditions and ensure the accuracy of the image data. The corrected image data is analyzed to match features related to outlet infection, such as redness, swelling, secretions or other abnormal signs. The system provides feedback and suggestions to patients and medical staff based on the analysis results. Thus, through the combination of colored reference tube segments and lighting data, the system can effectively reduce the interference of lighting changes on image analysis and improve the accuracy of infection monitoring. Regularly collecting and analyzing image data can help to identify early signs of outlet infection in a timely manner and reduce the occurrence of complications. Through the system's continuous monitoring and feedback, patients can undergo peritoneal dialysis with greater confidence, improving the safety of treatment.

[0076] For example, when Mr. Li was undergoing peritoneal dialysis, he used a colored reference tube segment. Under different lighting conditions, the system pre-acquired the corresponding lighting reference image data set. The image data of his peritoneal dialysis outlet was collected regularly. When the system detected that the image at the outlet showed some redness and swelling of the skin tissue, after lighting correction, the analysis results confirmed the presence of signs of infection. The system immediately sent an alert to Mr. Li's medical team and recommended further examination. After receiving the feedback, the medical staff promptly dealt with Mr. Li's infection problem and avoided more serious complications.

[0077] In some examples, this also includes:

[0078] Obtain the waste liquid outflow temperature at the dialysis outlet;

[0079] The peritoneal dialysis fluid bag to be injected is heated based on the waste fluid outflow temperature, so that the temperature of the peritoneal dialysis fluid reaches and is maintained at the waste fluid outflow temperature.

[0080] It is understandable that by monitoring the outflow temperature of the waste liquid at the dialysis outlet, the temperature of the injected peritoneal dialysis fluid is ensured to be close to body temperature, thereby improving the comfort and effect of dialysis. By heating the peritoneal dialysis fluid bag to be injected, the system can adjust the liquid temperature in real time to avoid discomfort and complications caused by low liquid temperature.

[0081] Exemplarily, the system monitors and records the outflow temperature of the waste liquid at the dialysis outlet in real time to ensure the accuracy of the data. The system compares the acquired waste liquid outflow temperature with the preset temperature range to determine whether the temperature of the peritoneal dialysis fluid to be injected needs to be adjusted. If the waste liquid outflow temperature is lower than the set comfort range, the system will automatically start the heating device to heat the peritoneal dialysis bag to be injected so that the liquid temperature reaches and maintains the level of the waste liquid outflow temperature. The system continuously monitors the temperature of the peritoneal dialysis fluid during the heating process to ensure that it remains within the target range. If the temperature is too high or too low, the system will make corresponding adjustments. Thus, by heating the peritoneal dialysis fluid, the patient can feel a more comfortable experience during the dialysis process and reduce the discomfort caused by the inappropriate liquid temperature. Maintaining a suitable liquid temperature helps to reduce potential complications caused by too low or too high a temperature and improve the safety of dialysis. A comfortable dialysis experience can improve patient compliance and make them more willing to perform dialysis regularly according to doctor's orders.

[0082] For example, Mr. Li's dialysis system monitors the outflow temperature of the waste liquid at 30°C in real time. After system analysis, it is determined that the temperature is lower than the preset comfort range. Therefore, the system automatically starts the heating device to heat the peritoneal dialysis bag to be injected to 30°C to ensure that the temperature of the injected liquid matches the outflow temperature of the waste liquid. Throughout the process, the system continuously monitors the temperature of the peritoneal dialysis fluid to ensure that it is stable at 30°C. Mr. Li felt very comfortable during dialysis and did not experience any discomfort caused by the low temperature of the liquid.

[0083] In some examples, before the step of obtaining the waste liquid outflow temperature at the dialysis outlet, the method further includes:

[0084] When the outflow speed of the waste liquid is less than the preset outflow speed, collecting image data of the drained waste liquid;

[0085] analyzing the fibrin concentration in the waste fluid based on the image data;

[0086] When the fibrin concentration obtained by analysis is greater than the preset concentration, a prompt for pressurizing and filling the peritoneal dialysis fluid bag is generated.

[0087] It can be understood that by monitoring the outflow rate and composition of the waste fluid at the dialysis outlet, analyzing the waste fluid image data to predict the cause of slow flow rate and take corresponding measures to prevent tube blockage. By detecting the fibrin concentration and other characteristics in the waste fluid, the system can identify factors that may cause slow flow rate, thereby optimizing the dialysis process.

[0088] Exemplarily, the system monitors the outflow rate of the waste liquid at the dialysis outlet in real time to determine whether it is less than the preset outflow rate. When the outflow rate of the waste liquid is lower than the preset value, the system automatically collects image data of the drained waste liquid for subsequent analysis. Through image processing technology, the system analyzes the collected waste liquid image data to detect the fibrin concentration and other possible abnormal characteristics in the waste liquid, such as sediment, bubbles or blood components. These factors may be the cause of the slow flow rate. Based on the analysis results, the system can identify the potential causes of the slow flow rate and generate corresponding preventive measures. For example, if the fibrin concentration is found to be high, the system may recommend pressurized injection to improve the flow; if there is sediment, it may be recommended to check the catheter or replace the fluid. Thus, through waste liquid image analysis, the system can timely identify the potential causes of slow flow rate, so as to take targeted measures to prevent tube blockage. Timely preventive measures can ensure smooth outflow of dialysate, improve dialysis efficiency, and reduce operation interruptions. Through active monitoring and feedback, patients can perform dialysis more at ease and reduce the inconvenience caused by slow flow rate.

[0089] For example, when Mr. Li was undergoing peritoneal dialysis, his dialysis system detected that the outflow rate of the waste liquid was lower than the preset value. The system then collected image data of the waste liquid and analyzed and found that the fibrin concentration in the waste liquid was abnormally high and there were obvious precipitates. Based on these analysis results, the system generated a prompt for pressurized injection and suggested that Mr. Li check whether the catheter was blocked. Mr. Li followed the system's advice to pressurize the catheter, and the outflow rate of the waste liquid returned to normal, successfully preventing potential tube blockage problems.

[0090] In some examples, this also includes:

[0091] Obtain the waste fluid outflow temperature at the current dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length;

[0092] Based on the current waste liquid outflow temperature at the dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length, calculating the theoretical target temperature of the peritoneal dialysis fluid bag when the injection temperature at the outlet can reach the waste liquid outflow temperature;

[0093] The peritoneal dialysis fluid bag is added according to the theoretical target temperature, so that the temperature of the peritoneal dialysis fluid in the peritoneal dialysis fluid chamber reaches and is maintained at the theoretical target temperature of the peritoneal dialysis fluid bag.

[0094] It is understandable that by comprehensively considering factors such as waste fluid outflow temperature, ambient temperature, injection flow rate and pipeline length, the theoretical target temperature that can make the peritoneal dialysis fluid reach an appropriate temperature during injection is calculated. This precise temperature management can effectively reduce the discomfort caused by temperature differences in patients and improve the dialysis experience.

[0095] Exemplarily, the system acquires the waste liquid outflow temperature, historical peritoneal dialysis fluid injection flow rate, current ambient temperature and injection line length at the current dialysis outlet in real time. These data provide the basis for subsequent calculations. Based on the acquired data, the system uses a formula or algorithm to calculate the theoretical target temperature to ensure that the injected peritoneal dialysis fluid reaches a temperature that matches the waste liquid outflow temperature when entering the patient's body. The factors considered in the calculation include: current waste liquid outflow temperature, historical peritoneal dialysis fluid injection flow rate (understanding the flow characteristics of the liquid in the pipeline), current ambient temperature (the impact of the external environment on the liquid temperature), and injection line length (temperature change of the liquid in the pipeline). Based on the calculated theoretical target temperature, the system heats the peritoneal dialysis fluid bag so that the peritoneal dialysis fluid temperature inside it reaches and maintains the theoretical target temperature. The system continuously monitors the liquid temperature during the heating process to ensure that it is within a safe range. Thus, by calculating the theoretical target temperature, the system can accurately control the injected peritoneal dialysis fluid temperature and reduce the impact of temperature differences on patients. Optimizing the liquid temperature can significantly improve the patient's comfort during dialysis and reduce side effects caused by temperature discomfort. Maintaining the proper infusion temperature helps improve the overall efficiency of the dialysis process and ensures treatment effectiveness.

[0096] For example, during peritoneal dialysis, Mr. Li's dialysis system monitored in real time that the waste liquid outflow temperature was 37°C, the current ambient temperature was 22°C, the injection line length was 1.5 meters, and the historical peritoneal dialysis fluid injection rate was 100 ml / min. Based on these data, the system calculated that the theoretical target temperature of 39°C, which would enable the peritoneal dialysis fluid to reach 37°C during injection, was 37°C. As a result, the system started the heating device and heated the temperature of the peritoneal dialysis fluid bag to 39°C. Throughout the heating process, the system continuously monitored the liquid temperature to ensure that it remained stable within the target temperature range. In the end, Mr. Li felt very comfortable during the dialysis process and did not experience any discomfort caused by temperature differences.

[0097] See also Figure 2 An embodiment of the intelligent management device for peritoneal dialysis in the embodiments of the present application may include:

[0098] A receiving unit, configured to display operation prompt information of the peritoneal dialysis in stages upon receiving a peritoneal dialysis operation request from the patient, wherein the operation prompt information includes an operation prompt video;

[0099] An acquisition unit, used for acquiring peritoneal dialysis execution image data of a patient;

[0100] The display unit is used to display the operation prompt information of the next stage of peritoneal dialysis when the execution image data matches the operation prompt video of the current stage.

[0101] In summary, the peritoneal dialysis intelligent management device provided in the embodiment of the present application displays the operation prompt information of peritoneal dialysis in stages when receiving the patient's peritoneal dialysis operation request, and the operation prompt information includes an operation prompt video; collects the patient's peritoneal dialysis execution image data; and displays the operation prompt information of peritoneal dialysis in the next stage when the execution image data matches the operation prompt video of the current stage. Through real-time feedback and step-by-step guidance, the error rate of patients during the operation is significantly reduced. After completing the operation of each stage, patients can get timely feedback, which increases their confidence in the operation. With the guidance of the intelligent system, medical staff can reduce the frequency of remote guidance for each patient, so as to focus on more complex cases. The system can record the image data and patient feedback of each operation, and provide them to medical staff for subsequent analysis and guidance, forming a good health management closed loop.

[0102] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned methods for intelligent management of peritoneal dialysis are implemented:

[0103] When receiving a peritoneal dialysis operation request from a patient, displaying operation prompt information of the peritoneal dialysis in stages, wherein the operation prompt information includes an operation prompt video;

[0104] Collecting the patient's peritoneal dialysis execution image data;

[0105] When the execution image data matches the operation prompt video of the current stage, the operation prompt information of the peritoneal dialysis of the next stage is displayed.

[0106] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0107] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0108] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0111] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of intelligent management of peritoneal dialysis in the corresponding embodiment.

[0112] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0113] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0114] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. 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 mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0115] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0116] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0117] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0118] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A peritoneal dialysis intelligent management method, characterized in that: include: When receiving a peritoneal dialysis operation request from a patient, displaying operation prompt information of the peritoneal dialysis in stages, wherein the operation prompt information includes an operation prompt video; Collecting the patient's peritoneal dialysis execution image data; When the execution image data matches the operation prompt video of the current stage, the operation prompt information of the peritoneal dialysis of the next stage is displayed.

2. The method according to claim 1, characterized in that Also includes: Upon receiving a peritoneal dialysis operation request from the patient, generating an environmental video acquisition request; Receiving and analyzing environmental image data acquired by the patient based on the environmental video acquisition request; extracting risk feature information associated with the peritoneal dialysis operation from the environmental image data; Based on the risk characteristic information, it is evaluated whether the current environment is suitable for peritoneal dialysis or a suggestion for improving the environment is generated.

3. The method according to claim 1, characterized in that Also includes: Collecting physiological index information related to peritoneal dialysis of patients; In the case where the physiological indicator information does not match the reasonable value range, risk factor prediction is performed, and prescription adjustment suggestions and diet adjustment suggestions are sent to the medical care terminal associated with the patient; The dietary adjustment suggestion is periodically presented to the patient before receiving a feedback message of the prescription adjustment suggestion.

4. The method according to claim 1, characterized in that The peritoneal dialysis catheter is provided with a colored reference tube segment of a preset color, and the colored reference tube segment is used to be arranged at the peritoneal dialysis outlet. The method further includes: Acquire a lighting reference image data set of the colored reference pipe segment under different lighting conditions; Periodically acquiring image data of the peritoneal dialysis outlet of the patient, wherein the image data includes image data of the outlet catheter and image data of skin tissue around the catheter; Correcting the skin tissue image data around the catheter based on the outlet catheter image data and the illumination reference image data set; The corrected periductal skin tissue image data were analyzed to match the corresponding exit site infection.

5. The method according to claim 1, characterized in that Also includes: Obtain the waste liquid outflow temperature at the dialysis outlet; The peritoneal dialysis fluid bag to be injected is heated based on the waste fluid outflow temperature, so that the temperature of the peritoneal dialysis fluid reaches and is maintained at the waste fluid outflow temperature.

6. The method according to claim 5, characterized in that Before the step of obtaining the waste liquid outflow temperature at the dialysis outlet, the method further comprises: When the outflow speed of the waste liquid is less than the preset outflow speed, collecting image data of the drained waste liquid; analyzing the fibrin concentration in the waste fluid based on the image data; When the fibrin concentration obtained by analysis is greater than the preset concentration, a prompt for pressurizing and filling the peritoneal dialysis fluid bag is generated.

7. The method according to claim 1, characterized in that Also includes: Obtain the waste fluid outflow temperature at the current dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length; Based on the current waste liquid outflow temperature at the dialysis outlet, the historical peritoneal dialysis fluid injection flow rate, the current ambient temperature and the injection line length, calculating the theoretical target temperature of the peritoneal dialysis fluid bag when the injection temperature at the outlet can reach the waste liquid outflow temperature; The peritoneal dialysis fluid bag is added according to the theoretical target temperature, so that the temperature of the peritoneal dialysis fluid in the peritoneal dialysis fluid chamber reaches and is maintained at the theoretical target temperature of the peritoneal dialysis fluid bag.

8. A peritoneal dialysis intelligent management device, characterized in that: include: A receiving unit, configured to display operation prompt information of the peritoneal dialysis in stages upon receiving a peritoneal dialysis operation request from the patient, wherein the operation prompt information includes an operation prompt video; An acquisition unit, used for acquiring peritoneal dialysis execution image data of a patient; The display unit is used to display the operation prompt information of the next stage of peritoneal dialysis when the execution image data matches the operation prompt video of the current stage.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the peritoneal dialysis intelligent management method according to any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the intelligent peritoneal dialysis management method according to any one of claims 1 to 7 is implemented.

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