Intelligent management and control system for household peritoneal dialysis treatment center

Abstract

The invention relates to the technical field of medical information systems, in particular to an intelligent management and control system for a household peritoneal dialysis treatment center. Comprising an APD terminal, a base station, a branch center, a center, a data processing module and a remote management module. The APD terminal is used for collecting dialysis treatment data and vital sign data at home of a patient and safely uploading the dialysis treatment data and the vital sign data to the base station; the base-level sites are responsible for data preliminary verification, abnormity reminding, daily follow-up visit and health education, and uploading screened data to the branch centers; the branch centers summarize and analyze the jurisdiction data, generate remote consultation and diagnosis and treatment suggestions, and report the suggestions to the center; the center realizes centralized storage, intelligent analysis, risk assessment and scientific research quality control management of whole-network data, and issues analysis results and diagnosis and treatment feedback to all levels to realize closed-loop management of the data. The data processing module can perform automatic verification, perform anomaly detection and generate graded diagnosis and treatment suggestions; and the remote management module supports video consultation, telephone follow-up visit and health education.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of medical information systems, and in particular to an intelligent management and control system for a home peritoneal dialysis treatment center. BACKGROUND

[0002] Chronic kidney disease (CKD) is a major global public health problem, and the 78th World Health Assembly has listed it as a major non-communicable disease of global priority. There are about 82 million CKD patients in China, of which 1.8 million have reduced kidney function, which is prone to progress to end-stage renal failure (uremia) and requires dialysis or kidney transplantation to maintain life. Hemodialysis relies on large hospitals and professional teams, and patients in rural and remote areas have difficulty obtaining long-term regular treatment, leading to premature death and exacerbating uneven distribution of medical resources.

[0003] Peritoneal dialysis (PD) can be performed at home, and is flexible and easy to operate, which is conducive to the patient's return to society and the protection of residual kidney function. It is mainly divided into continuous ambulatory peritoneal dialysis (CAPD) and automatic peritoneal dialysis (APD), of which CAPD is simple to operate but relies on patient compliance; APD is automatically dialyzed at night and is free to move during the day, which is suitable for office workers, but the equipment cost is high and there is a lack of remote supervision.

[0004] There are many problems in the promotion and management of PD at present: ① Insufficient supervision of patients at home, which is prone to complications such as peritonitis and volume abnormalities due to non-standard aseptic operation or unauthorized adjustment of prescriptions; ② Lack of PD training and management capabilities in remote and rural primary hospitals; ③ High price of APD, limited medical insurance coverage, and insufficient use rate of less than 2%; ④ Unfavorable peritoneal dialysis medical insurance policy, which increases the proportion of patients' self-payment and affects promotion.

[0005] Although there are some APD remote monitoring and hospital follow-up systems, there are generally problems such as data fragmentation, insufficient real-time transmission capability, lack of integration of medical record information and treatment data, and limited remote prescription adjustment function, making it difficult for doctors to obtain abnormal information and intervene in a timely manner. It is urgent to build a perfect intelligent home peritoneal dialysis management system to realize real-time data aggregation and analysis, generation of graded diagnosis and treatment recommendations, remote consultation and closed-loop feedback, improve the safety and efficacy of home PD, and empower primary hospitals to promote the fairness, accessibility and promotion of peritoneal dialysis. SUMMARY

[0006] In order to make up for the above shortcomings, the present application provides a home peritoneal dialysis treatment center intelligent management and control system, which aims to build a center intelligent management and control home automatic peritoneal dialysis treatment demonstration system, rely on the "center-subcenter-primary site" three-level linkage medical association mode, through intelligent remote monitoring, standardized operation process and hierarchical diagnosis and treatment mechanism, improve the treatment level of primary medical and health institutions, patients can receive automatic peritoneal dialysis in family or nearby community site, promote the sinking of high-quality medical resources, and reduce the burden of cross-regional medical treatment. The treatment demonstration system builds a new mode of carrying out peritoneal dialysis treatment in rural and community primary sites or patient's home, realizes dialysis without going out of the village and home, effectively improves the curative effect and safety of automatic peritoneal dialysis, and solves the difficulty of patients with uremia in rural and remote areas cannot receive dialysis treatment.

[0007] The present application provides the following technical scheme, a home peritoneal dialysis treatment center intelligent management and control system, comprising: The APD terminal is used for collecting dialysis treatment data and vital sign data of patients at home and uploading to the primary site through the network; The primary site is used for receiving APD terminal data, performing data preliminary verification and abnormal reminding, carrying out daily follow-up and health education, and uploading screened data to the subcenter; The subcenter is used for aggregating data of primary sites in the jurisdiction, performing regional data analysis, remote consultation and diagnosis and treatment suggestion generation, and uploading key data and analysis results to the center; The center is used for centralized storage, intelligent analysis, risk assessment and scientific research quality control management of the whole network data, and the analysis results and diagnosis and treatment feedback are sent to the subcenter and the primary site to realize data closed-loop management; The data processing module is used for automatic verification, abnormal detection and intelligent analysis of the collected data, and generates risk assessment and hierarchical diagnosis and treatment suggestions; The remote management module is used for supporting video consultation, telephone follow-up, operation guidance and health education, and realizing remote management of home patients.

[0008] Preferably, the primary site further comprises: The data preliminary integrity verification module is used for detecting whether the uploaded data is complete and correct in format; The abnormal prompting module is used for sending reminders to patients or medical staff when data is abnormal.

[0009] Preferably, the subcenter further comprises: The data quality audit module is used for logical checking and consistency verification of the uploaded data of the primary site; The regional abnormality detection module is used for identifying dialysis parameter abnormalities or vital sign abnormalities and generating warning information; A remote consultation module for enabling remote diagnosis and treatment communication between medical staff and primary sites or patients.

[0010] Preferably, the center further comprises: An intelligent analysis module for trend analysis, risk prediction, and individualized diagnosis and treatment suggestion generation on the network data. A cockpit display module for visualizing key KPI indicators, including the number of patients, the number of consultations, quality control, etc. A scientific research management module for supporting eCRF construction, data preservation and traceability, automatic verification, data query management, source data verification confirmation, electronic signature, database locking, and data export.

[0011] Preferably, the remote management module further comprises: A video consultation function for real-time interaction between medical staff and patients. A telephone follow-up and home service function for regular health management. A health education function for providing patients with operation guidance and complication prevention knowledge.

[0012] Preferably, the data processing module can automatically generate graded diagnosis and treatment suggestions based on multi-dimensional feature analysis of dialysis treatment data and vital sign data, including: Abnormal detection of collected parameters, including but not limited to dialysis prescription, ultrafiltration volume, blood pressure, and heart rate. When the parameters deviate from the set threshold, trend analysis and risk assessment are conducted in combination with the patient's past data. According to the evaluation results, the pre-set intervention strategy library is automatically matched to generate primary site intervention measures or sub-center / center remote intervention measures, and is issued to the relevant executing parties through a closed-loop feedback mechanism.

[0013] Preferably, the APD terminal can record dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume, and patient vital signs, and use encryption algorithms including but not limited to AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, or TLS secure transmission protocol to encrypt the data, to realize the confidentiality and integrity protection of dialysis data during uploading to the primary site.

[0014] Preferably, the system supports closed-loop feedback, i.e. the analysis results and diagnosis and treatment suggestions generated by the sub-center or center can be issued in real time to the primary site or patient terminal through instant messaging modules, push services, or short message services. The closed-loop feedback module also has the function of receiving execution feedback, including automatically recording the execution of the suggestions by the primary site or patients, and returning the feedback data to the data processing module to form a closed-loop optimization process of diagnosis and treatment suggestions - execution - feedback - re-analysis.

[0015] Preferably, the system supports multi-privilege access management, including an access control module based on user identity authentication, a role-based access privilege allocation mechanism, and a data access log record; the identity authentication adopts any one or more of password verification, two-factor authentication, or biometric identification, the access privilege is set according to medical roles in stages, and the access log is stored by encryption to ensure data security and privacy protection traceability.

[0016] Preferably, the system further comprises a remote follow-up record management function for recording follow-up content, diagnosis and treatment suggestions, and patient feedback information through a video call module, a voice call module, or an online consultation platform. The follow-up record is stored in the form of structured data and audio and video files, and is associated with a unique patient identifier, is compressed and encrypted before storage, and can be retrieved by a query interface according to time, follow-up type, or patient condition to support long-term storage and tracking analysis of follow-up information.

[0017] The present application has the following advantages: 1. The CHAPD system realizes the goal of developing peritoneal dialysis in grassroots sites such as villages and communities and in patient homes, providing a systematic demonstration model for patients with uremia, especially in remote rural areas. This dialysis demonstration model not only provides dialysis treatment at the doorstep for urban patients, but also provides fair treatment opportunities for patients with uremia in remote rural areas, accumulates valuable experience for the promotion of the project in rural and remote areas, and lays a solid foundation for realizing "dialysis without leaving the village and medical coverage".

[0018] 2. The CHAPD system enables patients in rural and remote areas to obtain fair medical services of the same quality as in cities. By using automated peritoneal dialysis equipment and intelligent management and control systems, remote medical services such as remote consultation and remote ward rounds are provided to provide high-quality medical services for patients at grassroots sites, improve the efficiency and quality of dialysis treatment, and reduce complications. BRIEF DESCRIPTION OF DRAWINGS

[0019] Figure 1 A structural diagram of the intelligent management and control system of the home peritoneal dialysis treatment center is provided. Figure 2 A structural diagram of the intelligent management and control system of the home peritoneal dialysis treatment center is provided. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0021] Embodiment one

[0022] In the first embodiment of the present application, the present application provides a home peritoneal dialysis treatment center intelligent management and control system, as shown in the figure, comprising: Figure 1 APD terminal, for collecting dialysis treatment data and vital sign data of patients at home and uploading to the primary site through the network; The primary site is used for receiving APD terminal data, performing preliminary data verification and abnormality prompting, carrying out daily follow-up and health education, and uploading the screened data to the sub-center; The sub-center is used for aggregating the data of the primary sites in the jurisdiction, performing regional data analysis, remote consultation and diagnosis and treatment suggestion generation, and uploading the key data and analysis results to the center; The center is used for centralized storage, intelligent analysis, risk assessment and scientific research quality control management of the whole network data, and the analysis results and diagnosis and treatment feedback are sent to the sub-center and the primary site to realize data closed-loop management; The data processing module is used for automatic verification, abnormality detection and intelligent analysis of the collected data, and generates risk assessment and graded diagnosis and treatment suggestions; The remote management module is used for supporting video consultation, telephone follow-up, operation guidance and health education, and realizing remote management of home patients.

[0023] Preferably, the primary site further comprises: A data preliminary integrity verification module is used for detecting whether the uploaded data is complete and correct in format; An abnormality prompting module is used for sending a prompt to the patient or medical staff when the data is abnormal.

[0024] The system realizes automatic collection of dialysis treatment data and vital sign data of patients by integrating various medical hardware devices and APD terminals, such as peritoneal dialysis machine data, sphygmomanometer data, etc. These hardware devices are connected with the system through wired or wireless ways (such as Bluetooth, Wi-Fi, 4G / 5G) and upload data to the primary site in real time, ensuring the diversity and accuracy of data sources.

[0025] After obtaining the data, the system can perform: 1) Data cleaning: Structured processing: parse multi-source data packets, generate a standard field mapping table, and unify the data format;​ Standardization: Normalize numerical units, timestamps, coding rules, etc. to eliminate system differences; Integrity check: Detect missing fields, outliers, and logical conflicts, and fill or mark them to ensure data quality.

[0026] 2) Data processing: Based on the cleaned data, the system combines medical rule base and prediction model to realize the following processing functions: Data calculation: Automatically calculate key medical indicators (such as Kt / V, Ccr, PET, etc.), through pre-set formulas and algorithms to achieve fast operation, which is 3-5 times more efficient than manual calculation and reduces human error; Data warning: When patient data (such as ultrafiltration volume, blood pressure, heart rate, etc.) exceeds the pre-set threshold, the system automatically generates warning information and pushes it to the medical staff terminal; After the medical staff handles the warning, the system can send a notification to the patient, or even issue an adjustment plan (such as dialysis parameter optimization) through hardware devices; Monitoring and intervention: Integrate multi-source data to form a panoramic view of the patient, support medical staff to remotely monitor patient status (such as remote ward rounds), and timely intervene (such as prescription adjustment, health guidance), improve response speed and treatment safety; Data statistics and quality control: According to national quality control standards, automatically realize cross-institutional and cross-regional data statistics and analysis (such as patient number, infection rate, compliance rate, etc.), through data standardization and algorithm model, improve statistical efficiency and accuracy by several times, provide data support for scientific research management and policy making.

[0027] Through the above data acquisition and processing process, the system realizes closed-loop optimization from data collection to decision support, significantly improves the efficiency, accuracy and safety of peritoneal dialysis management, empowers grassroots medical care and promotes the fairness of medical resources.

[0028] Specifically, the data preliminary integrity check module pre-defines mandatory fields such as dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume, vital signs (blood pressure, heart rate, blood oxygen, weight, etc.) and their corresponding data types (numerical value, string, timestamp, etc.); After receiving the data packet from the APD terminal or the patient upload, parse the data packet structure and generate the corresponding field mapping table; Compare the parsing result with the pre-set data structure definition to determine whether there are missing fields, empty field values or inconsistent data formats; And compare the data timestamp with the system time to check whether it is within the allowed error range (such as ±5 minutes) to ensure the integrity and timeliness of the data.

[0029] The anomaly alert module categorizes detected anomalies, such as missing data, format errors, out-of-range values, and abnormal timestamps. Based on the anomaly category, it generates corresponding alerts, including the cause of the anomaly and suggested corrective measures. Simultaneously, the alerts are sent to the target audience via at least one communication method, including but not limited to: mobile application push notifications for patients; desktop pop-up reminders or SMS notifications for medical staff; and highlighting anomaly records on the interface of the grassroots site management terminal.

[0030] Preferably, the sub-center further includes: The data quality audit module is used to perform logical checks and consistency verification on the data uploaded by grassroots sites; The regional anomaly detection module is used to identify abnormal dialysis parameters or vital signs and generate warning messages. The remote consultation module is used to enable medical staff to communicate remotely with grassroots stations or patients.

[0031] Specifically, after receiving data uploaded by grassroots sites, the data quality audit module performs automatic logical checks and consistency verifications on the data, including but not limited to: field integrity verification, confirming that the uploaded data contains required fields such as dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume, blood pressure, heart rate, blood oxygen, and weight, and determining whether the field values ​​are empty or in the wrong format; numerical range check, verifying whether values ​​such as dialysis dose, ultrafiltration volume, and vital signs are within a reasonable range, and marking abnormalities when they exceed the threshold; cross-time consistency verification, checking whether there are logical conflicts in the data of the same patient at consecutive time points, such as sudden weight loss or abnormal changes in dialysis dose; data comparison and marking, marking abnormal or inconsistent data found, and generating a preliminary audit report for medical staff to review.

[0032] The regional anomaly detection module is used to statistically analyze patient data from multiple primary care sites or regions, identifying abnormal dialysis parameters or vital signs, including: threshold alarms, generating alerts for patients whose dialysis dose, ultrafiltration volume, blood pressure, heart rate, blood oxygen, and other indicators exceed preset thresholds; trend analysis, analyzing short-term and long-term trends of patient parameters, identifying abnormal upward or downward trends and triggering alarms; and graded alerts, generating different levels of alert information (such as general alerts and emergency alerts) based on the severity of the abnormality and sending the information to primary care sites or relevant medical staff.

[0033] The remote consultation module supports medical staff to communicate with primary sites or patients for remote diagnosis and treatment, including: multimedia communication, realizing real-time communication through video call, audio call or instant message; case data sharing, sharing dialysis parameters, vital signs, test results and image data of patients during consultation for reference by medical staff; consultation record management, automatically recording consultation time, participating medical staff, discussion content and remote diagnosis and treatment suggestions, and saving to the database for tracking and quality control; remote intervention feedback, medical staff can directly issue diagnosis and treatment suggestions or adjust the scheme through the remote consultation module to support closed-loop management.

[0034] The above modules can run on sub-center servers, data is interacted through encrypted transmission (such as HTTPS or VPN channel) to ensure data security and privacy protection, and at the same time supports real-time synchronization with primary site systems to realize centralized monitoring and management of regional data.

[0035] Preferably, the center further comprises: An intelligent analysis module for trend analysis, risk prediction and individualized diagnosis and treatment suggestion generation on the whole network data; A cockpit display module for visualizing key KPI indicators, including the number of patients, the number of consultations, quality control, etc. A scientific research management module for supporting eCRF construction, data saving and audit trail, automatic verification, data query management, source data verification confirmation, electronic signature, database locking and data export.

[0036] Specifically, the intelligent analysis module is used for comprehensive analysis of whole network data and individualized diagnosis and treatment suggestion generation, including: Data preprocessing: cleaning, standardizing and missing value processing of dialysis data, vital signs, test results and complication information from each sub-center and primary site; Trend analysis: time series analysis based on historical data to identify long-term trend of patient groups or individuals, such as changes in weight, blood pressure and dialysis dose; Risk prediction: predicting the risk of peritonitis, volume overload and other complications through machine learning or statistical models and generating risk scores; Individualized diagnosis and treatment suggestion generation: automatically generating graded diagnosis and treatment suggestions for patients according to trend analysis results and risk prediction results, including primary site intervention measures and sub-center / center remote intervention measures, and issuing them to the corresponding terminal through the system.

[0037] The cockpit display module is used for visualizing key KPI indicators, including: Index statistics and calculation: automatically calculating and updating key indicators such as the number of CHAPD patients, the number of patients sinking, the number of consultations, and quality control; Data visualization: Various visualization methods such as dashboard, line chart, column chart, and heat map are used to present the trend and current state of the indicators; Real-time monitoring: Real-time data refresh is supported to realize instant control of the network operation status, and abnormal threshold alarm can be set to prompt the management personnel to pay attention to abnormal indicators.

[0038] The scientific research management module is used to support clinical research and data management, including: eCRF construction: Customized construction of electronic medical record forms is supported, and field types, mandatory items, and logical verification rules are defined; Data saving and audit trail: Data entry and modification records are automatically saved to form traceable audit logs; Automatic verification and data query management: The system automatically detects data anomalies or logical conflicts and generates data queries for researchers or clinical medical staff to handle; Source data verification: Support for comparison with original data to confirm data authenticity and integrity; Electronic signature and database locking: Supports electronic signature and database locking functions for research directors to ensure data cannot be tampered with; Data export: Data can be exported in standard formats (such as CSV, Excel, CDISC ODM, etc.) for subsequent statistical analysis or submission to regulatory agencies.

[0039] The above modules can run on a central server or cloud platform, and data is transmitted through an encrypted channel (such as HTTPS, VPN, or end-to-end encryption) to ensure data security and privacy; the intelligent analysis module and the cockpit display module interact in real time to realize comprehensive monitoring and dynamic management of the network operation and patient status, while the scientific research management module runs independently to ensure the standardization and traceability of research data management.

[0040] Preferably, the remote management module further comprises: Video consultation function for real-time interaction between medical staff and patients; Telephone follow-up and home service function for regular health management; Health education function for providing operation guidance and complication prevention knowledge to patients.

[0041] Specifically, the video consultation function is used for real-time interaction between medical staff and patients or primary site medical staff, including: Multi-terminal support: Supports real-time video and audio calls between patient mobile terminals (mobile phones, tablets) and medical staff workstations or sub-center terminals; Data sharing: During the consultation process, the system can display patient dialysis parameters, vital signs, test results, and related image data in real time for medical staff reference; Consultation record: The system automatically records consultation time, participants, discussion content and remote diagnosis recommendations, and stores them in the database for quality management and tracking.

[0042] Telephone follow-up and home service functions are used for regular health management of home APD treatment patients, including: Telephone follow-up: The system automatically generates reminder tasks according to the follow-up plan, and medical staff can understand the dialysis status, medication, complications and life guidance of patients through telephone; Home service management: For patients who need on-site intervention or abnormal signs, the system can arrange home follow-up services, record service time, content and intervention results; Follow-up record archiving: All telephone or home follow-up information is stored by the system, which can generate patient health records and follow-up reports.

[0043] Health education function is used to provide operation guidance and complication prevention knowledge to patients, including: Content management: The system can upload and manage multimedia education materials (video, picture, document, etc.), covering dialysis operation specification, complication prevention, nutrition guidance, etc.; Regular push: According to the patient's treatment plan or health status, the system regularly pushes education content or reminds patients to watch through the mobile terminal; Interactive evaluation: Patients can confirm their understanding through online answering or feedback functions, and the system records learning progress and mastery to help medical staff adjust education strategies.

[0044] The above functional modules are managed through the remote management platform, and data is transmitted through encrypted channels to ensure communication security and privacy protection. Video consultation, telephone follow-up and health education functions can be seamlessly linked with center and branch data platforms to realize real-time access to patient data, abnormal prompt and diagnosis intervention closed loop.

[0045] Preferably, the data processing module can automatically generate hierarchical diagnosis and treatment recommendations based on multi-dimensional feature analysis of dialysis treatment data and vital sign data, including: Abnormal detection of collected parameters, including but not limited to dialysis prescription, ultrafiltration volume, blood pressure and heart rate; When the parameters deviate from the set threshold, trend analysis and risk assessment are combined with the patient's past data; According to the evaluation results, the preset intervention strategy library is automatically matched to generate primary station intervention measures or branch / center remote intervention measures, and is issued to the relevant executing party through the closed loop feedback mechanism.

[0046] Specifically, the data processing module first performs abnormality detection on the collected various parameters (including but not limited to dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume, blood pressure, heart rate, blood oxygen, and body weight, etc.). The system pre-defines the normal range and alarm threshold of each parameter, which can be dynamically adjusted according to the individual condition of the patient. The uploaded data each time is compared with the threshold, and when the data is out of range, it is marked as abnormal. Combined with the simultaneous abnormality of multiple parameters, joint analysis is performed to avoid false positives of a single indicator.

[0047] When abnormal data is detected, the system further performs trend analysis and risk assessment combined with the patient's past historical data. Statistical methods or machine learning models are used to analyze the trend of patient indicators over time. Based on historical abnormal events, patient basic information, and current abnormality degree, a risk level (such as low, medium, and high) is generated. According to the trend and risk level, the probability of potential complications is predicted, and warning information is generated.

[0048] According to the risk assessment results, the data processing module automatically matches the pre-set intervention strategy library to generate specific intervention measures. The strategy library stores various intervention measures, which are divided into measures executable by primary stations and remote intervention measures by sub-centers / centers. The system automatically selects the most suitable intervention strategy according to the risk level, abnormal type, and patient characteristics. The matched strategies are sorted by urgency and effectiveness to ensure that high-risk patients are prioritized.

[0049] The generated hierarchical diagnosis and treatment recommendations are issued through a closed-loop feedback mechanism. Primary stations can receive intervention measures through management terminals or patient mobile terminals, and sub-centers / centers can remotely issue intervention plans through the platform. The system records the reception, execution, and feedback of intervention measures, forming a closed-loop management, realizing intervention effect monitoring and data backflow. Combined with the execution results and subsequent data, the system can adjust the intervention strategy library and threshold settings to optimize future diagnosis and treatment recommendations.

[0050] The above functions can be run through a background server or cloud platform, combined with data encryption and permission management to ensure patient privacy and data security, while seamlessly connecting with various modules of primary stations, sub-centers, and centers to realize full-process automated and intelligent hierarchical diagnosis and treatment closed-loop management.

[0051] Preferably, the APD terminal can record dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume, and patient vital signs, and use encryption algorithms including but not limited to AES symmetric encryption algorithm, RSA asymmetric encryption algorithm, or TLS secure transmission protocol to encrypt the data, to realize the confidentiality and integrity protection of dialysis data during uploading to primary stations.

[0052] Specifically, the APD terminal collects dialysis treatment data and vital sign data through built-in sensors or interfaces, and generates a unified data package by structuring the collected data, which includes fields such as timestamp, patient ID, dialysis parameters, and vital signs, and generates a field mapping table.

[0053] The system can select one or more encryption algorithms for data protection as needed, including: AES symmetric encryption: using pre-shared keys between the terminal and the base station to encrypt the data package, ensuring the confidentiality of the transmitted data; RSA asymmetric encryption: the terminal uses the base station's public key to encrypt the data, and the base station uses the private key to decrypt, achieving secure protection of data during transmission; TLS secure transmission protocol: establishing a secure communication channel through the TLS protocol to achieve end-to-end encryption transmission, ensuring data integrity and preventing tampering.

[0054] Before encryption, the APD terminal can generate a hash value (such as SHA-256) for the data package, and the recipient can perform a hash check on the decrypted data to ensure that the data has not been tampered with during transmission. The encrypted data package is uploaded to the base station management system through the network interface, supporting wired or wireless communication methods (such as Wi-Fi, 4G / 5G), and the system records the upload time, data package ID, and status information during the upload process to ensure traceability.

[0055] Through the above steps, the APD terminal not only realizes real-time collection of dialysis data, but also ensures the confidentiality, integrity, and security of the data during transmission, providing a reliable data foundation for subsequent data integrity verification by the base station, remote analysis by the sub-center, and intelligent analysis by the center.

[0056] Preferably, the system supports closed-loop feedback, i.e., analysis results and treatment recommendations generated by the sub-center or center can be delivered to the base station or patient terminal in real time through instant messaging modules, push services, or short message services; The closed-loop feedback module also has the function of receiving execution feedback, including automatically recording the execution of the base station or patient's recommendations, and returning the feedback data to the data processing module to form a closed-loop optimization process of diagnosis and treatment recommendations - execution - feedback - re-analysis.

[0057] Specifically, the intelligent analysis module of the sub-center or center generates individualized diagnosis and treatment recommendations or intervention measures based on the collected dialysis treatment data, vital sign data, and historical records. The system stores the generated diagnosis and treatment recommendations in a structured manner according to patient ID, timestamp, and intervention type, and prepares for delivery.

[0058] The closed-loop feedback module delivers the diagnosis and treatment recommendations to the target object through at least one way, including: Instant messaging module (IM): structured messages are sent in real time to the base site management terminal or patient mobile terminal through a dedicated IM protocol or third-party IM platform; Push service: instant push of reminders and recommendations using mobile application push services (such as APNs or FCM); Short Message Service (SMS): send critical intervention recommendations via SMS when the network is unstable or the mobile terminal cannot use the application.

[0059] After the base site or patient terminal receives the recommendations, it can mark the execution status through the system interface or mobile application (such as "executed", "partially executed", "not executed"), and the system automatically records the feedback content, including the execution time, executor ID, execution status and note information. Feedback data is uploaded to the data processing module through a secure communication channel and is associated with the original diagnosis and treatment recommendations.

[0060] The data processing module regularly analyzes the collected execution feedback to determine the effectiveness of the intervention measures, the execution status and potential problems. Based on the analysis results, the system can adjust the intervention strategy or generate new diagnosis and treatment recommendations, forming a closed-loop optimization process of "diagnosis and treatment recommendations - execution - feedback - re-analysis". The system can also generate performance or KPI indicators based on execution feedback for the center or sub-center to manage and improve the quality of the base site.

[0061] Through the above implementation, the system not only realizes the real-time issuance of diagnosis and treatment recommendations, but also ensures the traceability of the execution status and the integrity of the data return, providing closed-loop optimization capabilities for intelligent home peritoneal dialysis auxiliary management.

[0062] Preferably, the system supports multi-privilege access management, including an access control module based on user identity authentication, a role-based access permission allocation mechanism, and data access log recording; the identity authentication adopts any one or more of password verification, two-factor authentication or biometric identification, the access permission is set according to the medical role hierarchy, and the access log is stored through encryption to ensure data security and traceability of privacy protection.

[0063] Specifically, the system verifies the user's identity through the identity authentication module when the user logs in, which can use one or more of the following authentication methods: Password verification: the user inputs the username and password, and the system compares the stored password hash value through a hash algorithm (such as SHA-256) and salt processing; Two-factor authentication (2FA): based on password verification, send a one-time password (OTP) to the user's phone or email; Biometric authentication: use fingerprint recognition, facial recognition or iris recognition technology to confirm the user's identity.

[0064] The system assigns different access permissions according to the medical roles of the user (such as central doctor, sub-center doctor, primary site nurse, patient, etc.), and the data range, operation permission and function module accessible by different roles can be preset and dynamically managed, for example: the primary site nurse can view the dialysis data of the patients and perform feedback, but cannot modify the research database content, the sub-center doctor can view the regional patient summary data and generate diagnosis and treatment suggestions, but can only modify the intervention strategy within the permission range, and the center management personnel can access the network data, cockpit statistical information and research management module.

[0065] The system automatically records each data access or operation, including access time, user ID, access object and operation type, and the log information is stored by encryption (such as AES encryption) and can generate an audit report for subsequent tracking and security management. The system can regularly detect abnormalities in access logs and generate warning information when unauthorized access behavior is detected.

[0066] Through the above implementation, the system realizes secure access control based on identity authentication and role permission, while ensuring that data access operations are traceable, fully protecting patient privacy and medical data security, and providing reliable security assurance for intelligent home peritoneal dialysis auxiliary management.

[0067] Preferably, the system further comprises a remote follow-up record management function for recording follow-up content, diagnosis and treatment suggestions and patient feedback information through a video call module, a voice call module or an online consultation platform; The follow-up record is stored in two forms of structured data and audio and video files, and is associated with the patient's unique identifier. Data compression and encryption processing are performed before storage, and the follow-up information can be retrieved by time, follow-up type or patient condition through a query interface to support long-term storage and tracking analysis of follow-up information.

[0068] Specifically, the system conducts remote follow-up with the patient through a video call module, a voice call module or an online consultation platform. During the follow-up process, medical staff can record the patient's condition, operation, medication and related diagnosis and treatment suggestions. The follow-up information is saved in two forms of structured data (text, numerical field) and audio and video files.

[0069] The follow-up record is compressed before storage to save storage space, and the data confidentiality and integrity are guaranteed through encryption algorithms (such as AES, TLS). Each follow-up record is associated with the patient's unique identifier to ensure that the data can be tracked.

[0070] The system provides a query interface that can be retrieved by time, follow-up type, patient condition or other key fields, supports long-term storage of follow-up records, and can be used for subsequent data analysis, treatment plan optimization and research management.

[0071] Through the above-embodied implementation, the system can efficiently record and manage remote follow-up information, ensure data security and traceability, and provide reliable data support for intelligent home peritoneal dialysis patient management.

[0072] Embodiment Two

[0073] In actual environment, a large number of kidney disease patients are distributed in rural and remote areas. They can be found to be suspected CKD patients through physical examination screening in health clinics or community service centers close to their homes. However, the primary health clinics or community service centers do not have the ability to diagnose and perform peritoneal dialysis catheterization surgery for the patients, and the patients need to be transferred to sub-centers for treatment.

[0074] To solve the above problems, the present application provides a home peritoneal dialysis treatment center intelligent management system, and a block diagram thereof is shown in Figure 2 The specific implementation process of the system is as follows: After the primary site finds a suspected patient, the patient's data at the primary site and the patient's baseline data are recorded on the system, and the patient is transferred to a higher level through the remote management module. The patient is transferred to the sub-center for treatment. The sub-center provides a green referral channel for the patient to facilitate the patient to be quickly admitted to the hospital. At the same time, when the primary site initiates the referral to a higher level using the system, the relevant patient data will also be synchronized to the receiving hospital along with the patient. The receiving hospital can quickly understand the patient's condition on the system and provide diagnosis and treatment basis for the patient's treatment.

[0075] When the patient completes the relevant peritoneal dialysis catheterization surgery in the sub-center and the condition is stable, the sub-center will transfer the patient back to the original primary site for follow-up treatment. The primary site will follow the guidance of the sub-center and complete the daily follow-up work of the patient with the help of the system. The system will record the relevant data, and the sub-center can remotely manage the patient according to the data to ensure the safety of the patient's peritoneal dialysis.

[0076] The center can view the quality control data of the patient on the system to analyze the quality control of the patient and provide management ideas for the sub-center / primary site to manage the patient. The follow-up hierarchical diagnosis and treatment suggestions are optimized to realize the closed loop of two-way referral.

[0077] The table of specific implementation modules of the system is shown in Table 1: Table 1 Specific implementation modules of the system Serial number Name Parameter property Technical and service requirements Specific content Remark 1 Home peritoneal dialysis treatment demonstration system center intelligent management and control system ▲Important technical parameters Regional specialist alliance: Establish a regional specialist alliance in the mode of main center-branch center-basic site, build the basic framework of the specialist alliance Establish a regional specialist alliance in the mode of main center-branch center-basic site, build the basic framework of the specialist alliance In addition to the specified requirements, it also supports separate maintenance of hospital and campus information, supports the establishment of teams based on centers for team management of patients, and supports setting up account-manageable centers to realize the management of main centers over branch centers and sites 2 Non-star, non-triangle parameter Two-way referral: Referral between agencies at all levels can be made, including initiating referral, accepting / refusing referral, referral review, etc. Referral between agencies at all levels can be made, including initiating referral, accepting / refusing referral, referral review, etc. 3 Non-star, non-triangle parameter Remote consultation: Remote consultation can be conducted, including initiating consultation, accepting / refusing consultation, consultation communication, viewing consultation, etc., through online and offline ways, senior center medical staff can guide junior center medical staff Remote consultation can be conducted, including initiating consultation, accepting / refusing consultation, consultation communication, viewing consultation, etc., through online and offline ways, senior center medical staff can guide junior center medical staff 4 Non-star, non-triangle parameter Patient multi-terminal data collection and management: Support patients to complete data collection on App, H5, smart devices, etc. Smart devices can realize interconnection and automatically synchronize data. Manual or picture upload of peritoneal dialysis related treatment data, weight, blood pressure, urine volume, ultrafiltration volume, blood glucose, inspection report, medication, etc. Home treatment data can also be supported. Support viewing peritoneal dialysis data, clinic information, health plan information, etc. Support patients to complete data collection on App, H5, smart devices, etc. Smart devices can realize interconnection and automatically synchronize data. Manual or picture upload of peritoneal dialysis related treatment data, weight, blood pressure, urine volume, ultrafiltration volume, blood glucose, inspection report, medication, etc. Home treatment data can also be supported. Support viewing peritoneal dialysis data, clinic information, health plan information, etc. 5 ▲Important technical parameters Interconnection of in-hospital system data of medical institutions: Interconnect the in-hospital system or health system of each medical institution, collect data of each medical institution and each peritoneal dialysis patient, including but not limited to patient demographic information, diagnosis and treatment information, inspection and test information, prescription and medication information, drug consumption usage, peritoneal dialysis related treatment data, vital sign data, and patient real-time medical parameters, etc. Interconnect the in-hospital system or health system of each medical institution, collect data of each medical institution and each peritoneal dialysis patient, including but not limited to patient demographic information, diagnosis and treatment information, inspection and test information, prescription and medication information, drug consumption usage, peritoneal dialysis related treatment data, vital sign data, and patient real-time medical parameters, etc. In addition to the specified requirements, it also supports data classification display after connection, data mapping and matching after connection, and data reporting to the peritoneal dialysis medical record information registration system of the national kidney disease professional medical quality control center after connection 6 ▲Important technical parameters Early warning management: When the patient's input data reaches the early warning value / critical value, a reminder will be given. The patient can choose to ask the doctor, and after the doctor handles it, the patient can view the handling opinion When the patient's input data reaches the early warning value / critical value, a reminder will be given. The patient can choose to ask the doctor, and after the doctor handles it, the patient can view the handling opinion In addition to the specified requirements, it also supports setting index early warning range, supporting setting whether to remind the patient after triggering early warning, supporting setting multiple early warning levels, and different levels can be distinguished by color 7 Non-star, non-triangle parameter Follow-up management: Support patients to view various follow-up plans such as reminder messages, special medical orders, questionnaire scales, etc., and support to execute according to the follow-up plan, receive various follow-up plan reminders, and complete various follow-up tasks Support patients to view various follow-up plans such as reminder messages, special medical orders, questionnaire scales, etc., and support to execute according to the follow-up plan, receive various follow-up plan reminders, and complete various follow-up tasks In addition to the specified requirements, it also supports patients to view their follow-up plans through daily plans, and supports patients to join specific follow-up plan management groups by scanning the code uniformly 8 Important technical parameters Closed-loop management of peritoneal dialysis fluid and consumables: Patients can fill in their names, contact information, and other distribution information on the patient side to achieve closed-loop management of peritoneal dialysis fluid and consumables delivery to the home through information technology Patients can fill in their names, contact information, and other distribution information on the patient side to achieve closed-loop management of peritoneal dialysis fluid and consumables delivery to the home through information technology 9 Non-star, non-triangle parameter Patient education content: Patients can view patient education content through multiple channels, such as receiving content sent by medical staff, accessing the patient education content portal set by the doctor's homepage, etc. Patients can view patient education content through multiple channels, such as receiving content sent by medical staff, accessing the patient education content portal set by the doctor's homepage, etc. 10 Non-star, non-triangle parameter Smart devices: Support binding multiple types of smart devices such as peritoneal dialysis machines, blood glucose meters, blood pressure meters, etc. For devices with requirements, a consent form will pop up when the device is bound. After the patient checks the consent, the data of the smart device can be automatically synchronized, and the doctor, nurse, etc. can view the data Support binding multiple types of smart devices such as peritoneal dialysis machines, blood glucose meters, blood pressure meters, etc. For devices with requirements, a consent form will pop up when the device is bound. After the patient checks the consent, the data of the smart device can be automatically synchronized, and the doctor, nurse, etc. can view the data 11 Non-star, non-triangle parameter Order management: Patients can query and submit orders, view various types of order information, and view detailed order information Patients can query and submit orders, view various types of order information, and view detailed order information 12 Non-star, non-triangle parameter Patient home data and health records: View the home data and records of peritoneal dialysis patients, including but not limited to patient peritoneal dialysis related treatment data, weight, blood pressure, urine volume, ultrafiltration volume, blood glucose, laboratory test results, medication, and other home treatment data, and support viewing patient medical history, physical signs, and other health information, support viewing patient follow-up plans, monitoring plans, and other types of data. In addition, some peritoneal dialysis data of patients can also be collected. Patient home data and records: View the home data and records of peritoneal dialysis patients, including but not limited to patient peritoneal dialysis related treatment data, weight, blood pressure, urine volume, ultrafiltration volume, blood glucose, laboratory test results, medication, and other home treatment data, and support viewing patient medical history, physical signs, and other health information, support viewing patient follow-up plans, monitoring plans, and other types of data. In addition, some peritoneal dialysis data of patients can also be collected. 13 Important technical parameters Early warning management: Patients can be set up index monitoring plans, and doctors can handle them online in a timely manner when patient indicators trigger early warning, and can conveniently view corresponding index detail data, use common language for quick reply, etc. Patients can be set up index monitoring plans, and doctors can handle them online in a timely manner when patient indicators trigger early warning, and can conveniently view corresponding index detail data, use common language for quick reply, etc. In addition to the specified requirements, it also supports setting index early warning ranges, supporting setting whether to remind patients after triggering early warning, supporting setting multiple early warning levels, and differentiating colors for different levels 14 Non-star, non-triangle parameters Follow-up management: Medical staff can set follow-up plans for patients, which can be set in batches through templates or manually one by one, support reminding and executing follow-up plans according to the set period, and realize follow-up data traceability Medical staff can set follow-up plans for patients, which can be set in batches through templates or manually one by one, support reminding and executing follow-up plans according to the set period, and realize follow-up data traceability In addition to the specified requirements, it also supports setting follow-up plans by project, supports querying follow-up plans set for patients, and supports querying follow-up plan execution 15 Non-star, non-triangle parameters Remote communication: Support remote communication with peritoneal dialysis patients, support text communication, picture communication, phone communication, video communication, and other communication methods, support setting information item number rules for free communication with patients, support using common language for communication, etc. Support remote communication with peritoneal dialysis patients, support text communication, picture communication, phone communication, video communication, and other communication methods, support setting information item number rules for free communication with patients, support using common language for communication, etc. In addition to the specified requirements, it also supports individual communication with patients and team communication 16 Non-star, non-triangle parameters Patient education management: Conduct content education management for peritoneal dialysis patients, send patient education content to patients, patients can view corresponding content, maintain patient education content, and facilitate selecting corresponding content for patients to improve patient care ability The content education management is carried out for the peritoneal dialysis patient, the patient can view the corresponding content, the patient can maintain the education content, the corresponding content is selected for the patient, and the nursing ability of the patient is improved In addition to the requirements, it also supports unified notification of patients by medical staff 17 ▲Important technical parameters Key indicators are automatically calculated and viewed: for Kt / V, Ccr, PET, etc. Key indicators, only need to fill in 3 indicators (height, weight, dialysate discharge), can be automatically calculated according to the set formula, other indicators are automatically provided, also can change the input of various indicators, and can view the index calculation result and the corresponding detailed calculation process For Kt / V, Ccr, PET, etc. Key indicators, only need to fill in 3 indicators (height, weight, dialysate discharge), can be automatically calculated according to the set formula, other indicators are automatically provided, also can change the input of various indicators, and can view the index calculation result and the corresponding detailed calculation process In addition to the requirements, it also supports index calculation result download and printing, supports setting index display, supports filtering Kt / V calculation result patients, and supports manual synchronization of hospital patient data 18 Non-star, non-triangle parameters Patient management: various management of patients can be carried out, medical relationship can be established, patients can be viewed, and part of patient information can be maintained, etc. Support to establish medical relationship with patients through two-dimensional code scanning, sharing link and other ways, after establishing medical relationship, patients can be viewed and managed, such as grouping management, team management, etc. Various management of patients can be carried out, medical relationship can be established, patients can be viewed, and part of patient information can be maintained, etc. Support to establish medical relationship with patients through two-dimensional code scanning, sharing link and other ways, after establishing medical relationship, patients can be viewed and managed, such as grouping management, team management, etc. 19 Non-star, non-triangle parameters Task reminder: provide message center function, when there are follow-up tasks, warning messages, online communication requests, etc. System automatically sends task reminders to doctors to respond in time and handle affairs Provide message center function, when there are follow-up tasks, warning messages, online communication requests, etc. System automatically sends task reminders to doctors to respond in time and handle affairs 20 ▲Important technical parameters Patient data management: the whole amount of data of peritoneal dialysis patients in the center, each sub-center and grass-roots station is managed, including but not limited to patient demographic information, diagnosis and treatment information, peritoneal dialysis related treatment data, examination information, prescription and drug information, drug consumption situation, vital sign data, real-time medical parameters, follow-up information, outcome prognosis index, etc. Support to clean, convert the data of each medical institution according to the unified standard, realize data standardization and structurization Management of total data of peritoneal dialysis patients in the center, each sub-center and basic site, including but not limited to patient demographic information, diagnosis and treatment information, peritoneal dialysis related treatment data, inspection information, prescription information, drug consumption, vital sign data, real-time medical parameters, follow-up information, outcome indicators, etc.; support for data cleaning, conversion of each medical institution according to unified standards, data standardization and structuring In addition to the specified requirements, it also supports viewing patient communication data, patient index monitoring data, patient health records, DCT medical record information 21 Non-star, non-triangle parameters Data report: Provide various data report functions, support data viewing and exporting, and can monitor treatment programs, medication, testing, follow-up data, and follow up medical and medical insurance situations to provide comprehensive data basis for improving the effectiveness of medical programs, rational and precise use of medical insurance funds, etc. Provide various data report functions, support data viewing and exporting, and can monitor treatment programs, medication, testing, follow-up data, and follow up medical and medical insurance situations to provide comprehensive data basis for improving the effectiveness of medical programs, rational and precise use of medical insurance funds, etc. 22 Important technical parameters Cockpit monitoring: Provide cockpit data monitoring, support viewing of center, sub-center, basic site and patient data, support viewing various core diagnosis and treatment and medical quality data such as peritoneal dialysis patient number, peritoneal dialysis quality control indicators, etc. through data large screen Provide cockpit data monitoring, support viewing of center, sub-center, basic site and patient data, support viewing various core diagnosis and treatment and medical quality data such as peritoneal dialysis patient number, peritoneal dialysis quality control indicators, etc. through data large screen In addition to the specified requirements, it also supports the main center to view the data of each center, supports setting the institution and time range for viewing data, and supports multiple digital large screen display forms such as index card, summary table, trend chart, and column chart 23 Important technical parameters Quality control index analysis: Support statistical analysis of peritoneal dialysis related quality control indicators of medical institutions at all levels, support setting of quality control index monitoring standards to monitor peritoneal dialysis diagnosis and treatment and management quality Support statistical analysis of peritoneal dialysis related quality control indicators of medical institutions at all levels, support setting of quality control index monitoring standards to monitor peritoneal dialysis diagnosis and treatment and management quality In addition to the specified requirements, it also supports report and graphical display of quality control statistical analysis results, supports viewing data by time and institution, and supports the main center to view the quality control analysis results of each sub-center and site 24 Important technical parameters Monitoring program development and adjustment: Support development and adjustment of various monitoring programs to provide suitable monitoring programs and assist in developing and adjusting quality control related systems and SOPs to ensure quality Support development and adjustment of various monitoring programs to provide suitable monitoring programs and assist in developing and adjusting quality control related systems and SOPs to ensure quality In addition to the specified requirements, it also supports patient code scanning, patient informed consent, and patient data viewing or exporting after entering the project 25 Non-star, non-triangle parameters Account management: each account of the system can be managed Each account of the system can be managed 26 Non-star, non-triangle parameter Desensitization management: sensitive data can be desensitized and managed Sensitive data can be desensitized and managed 27 Non-star, non-triangle parameter Permission management: the system can manage various permissions, and maintain the permission content of each account The system can manage various permissions, and maintain the permission content of each account In addition to the specified requirements, it also supports separate management of data permissions and function permissions for permissions, separate management of report permissions, and setting of management institutions (centers / sub-centers) and pharmacies for each account, facilitating unified management by the center 39 System connection requirements Non-star, non-triangle parameter Support centralized and unified large-screen visualization display of patient data of the center, sub-center and each site, including the distribution of regional centers / sites, the total number of patients under the jurisdiction of each center / site, the types and quantities of connected hardware devices, etc., to assist the main center management personnel in making relevant decision support and assigning tasks to sites / sub-centers Support centralized and unified large-screen visualization display of patient data of the center, sub-center and each site, including the distribution of regional centers / sites, the total number of patients under the jurisdiction of each center / site, the types and quantities of connected hardware devices, etc., to assist the main center management personnel in making relevant decision support and assigning tasks to sites / sub-centers 40 System connection requirements Non-star, non-triangle parameter Platform construction standards, unified external interface, center, sub-center medical data through HIS, LIS, PACS, RIS and corresponding Internet hospital business system docking to obtain, primary community medical institutions medical data through the docking of Guangzhou City Health Information Platform or primary cloud HIS system to obtain. Data types mainly include HIS system (patient basic information, medical expense information), EMR system (diagnosis information, medical record document information, etc.), LIS system (blood routine test information), PACS system (image picture report result information, etc.). In the case of cooperation with hardware device manufacturers such as automatic peritoneal dialysis machine and network conditions allow, the system supports the data collection docking of related hardware devices Construction standards, unified external interface, center, sub-center medical data through HIS, LIS, PACS, RIS and corresponding Internet hospital business system docking to obtain, primary community medical institutions medical data through the docking of Guangzhou City Health Information Platform or primary cloud HIS system to obtain. Data types mainly include HIS system (patient basic information, medical expense information), EMR system (diagnosis information, medical record document information, etc.), LIS system (blood routine test information), PACS system (image picture report result information, etc.). In the case of cooperation with hardware device manufacturers such as automatic peritoneal dialysis machine and network conditions allow, the system supports the data collection docking of related hardware devices

[0078] Note: Data entry principle: record as much as possible. The following module content needs to be entered, the required fields need to be completely entered, and the data stored offline with the patient should be consistent as much as possible.

[0079] 1. Baseline data

[0080] 1.1. Basic situation

[0081] Mandatory: Name, CAPD number, HIS patient ID, ID type, ID number, whether CHAPD patient, whether transferred from other hospital, gender, first catheterization date, gender, date of birth, expense reimbursement, phone number, social regression status, managing physician, managing nurse, systolic pressure (mmHg), height (cm), weight (Kg), first kidney replacement therapy date, first kidney replacement therapy mode, binding app patient

[0082] Optional: Ethnicity, marital status, address, education, occupation, contact person, contact information, OGTT result

[0083] 1.2. First catheterization and peritoneal dialysis

[0084] Mandatory: First catheterization, dialysis plan

[0085] Optional: Peritoneal dialysis catheter-related event record

[0086] 1.3. Test indicators

[0087] Mandatory: Baseline data test indicators

[0088] 1.4. Auxiliary examination

[0089] Mandatory: Baseline data examination indicators

[0090] 1.5. Prescribed medication

[0091] Mandatory: Baseline data prescribed medication

[0092] 2. Medical record information

[0093] 2.1. Medical history diagnosis record

[0094] Mandatory: Diagnosis date, whether baseline data, primary diagnosis, personal history, allergy history, family history, past history, surgical history

[0095] 2.2. Hospital medical record

[0096] Mandatory: Reason for hospitalization

[0097] 3. Surgical information

[0098] 3.1. Peritoneal dialysis catheterization

[0099] Mandatory: Catheterization date, whether first catheterization, whether pre-dialysis education has been done, first peritoneal dialysis date, use of antibiotics, surgical method, anesthesia method, outlet direction, peritoneal dialysis tube type, surgical complications, surgical hospital, surgical physician

[0100] Optional: Surgical guide, surgical assistant

[0101] 3.2. Peritoneal dialysis tube extubation

[0102] Optional: (Fill in if there is data)

[0103] 3.3. Peritoneal dialysis catheter reset

[0104] Optional: Surgical instructor, surgical assistant

[0105] 3.4. Hyperparathyroidism surgery

[0106] Optional: Surgical instructor, surgical assistant

[0107] 3.5. Hernia repair

[0108] Optional: Surgical instructor, surgical assistant

[0109] 3.6. Tunnel reconstruction

[0110] Optional: Surgical instructor, surgical assistant

[0111] 3.7. Others

[0112] Optional: Surgical instructor, surgical assistant

[0113] 4. Follow-up information (need to synchronize historical data)

[0114] 4.1. General condition and physical examination

[0115] Required: Date of catheterization, whether it is the first time, whether it has been done before the dialysis education, the first peritoneal dialysis date, use of antibiotics, surgical method, anesthesia method, outlet direction, type of peritoneal dialysis tube, surgical complications, surgical hospital, surgeon

[0116] Optional: Surgical instructor, surgical assistant

[0117] 4.2. Home monitoring

[0118] All patients joining the CHAPD project need to bind the applet patient, so as to synchronize the intelligent device data of patients after joining the CHAPD project

[0119] Required: The binding applet patient of patient basic information must be filled in

[0120] 4.3. Dialysis plan

[0121] Required: Peritoneal dialysis date, dialysis method

[0122] Dialysis method: CAPD: glucose concentration, icodextrin, average daily glucose concentration, whether dry abdomen at night APD: APD prescription, manual peritoneal dialysis, APD machine, glucose concentration, icodextrin, average daily glucose concentration ●CAPD+hemodialysis: glucose concentration, icodextrin, average daily glucose concentration, nighttime dry abdomen, number of hemodialysis sessions ●APD + Hemodialysis: APD prescription, manual peritoneal dialysis, APD machine, glucose concentration, icodextrin, average daily glucose concentration, number of hemodialysis sessions. Optional: 4.4. Dialysis adequacy and peritoneal equilibration test (historical data needs to be entered) Required fields: Kt / V, Ccr, PET If there is data, it must be entered; if there is no data, it should not be entered. 4.5. Related infectious complications 4.5.1. Peritonitis Required fields: Date of infection, completed questionnaire, whether there was concurrent tunnel infection, whether there was concurrent exit site infection, presence of systemic symptoms, peritoneal dialysis fluid culture results, exit secretion results, nasopharyngeal swab results, blood culture results, medications used, treatment effect. Optional: Related surgical records 4.5.2. Outbound infection Required fields: Date of infection, whether there was concurrent tunnel infection, culture results at the exit of the abdominal duct, medications used, other treatments, and treatment outcome. Optional: Related surgical records 4.6. Non-infectious complications Required fields: Date, peritoneal dialysis catheter-related complications, peritoneal dialysis-related complications, other complications, treatment effect, and disease management plan. Optional: 4.7. Cardiovascular and cerebrovascular complications Required fields: Follow-up date, presence or absence of cardiovascular or cerebrovascular events. The following fields are required: date of occurrence, event type, whether unstable angina occurred, whether myocardial infarction occurred, whether percutaneous coronary intervention (PCI) was performed, whether stroke occurred, and whether chronic heart failure occurred. Optional: 4.8. Prescription medications (historical data needs to be entered) Required fields: Verify current medication and follow-up date. Verify the drug name, dosage, frequency of use, method of administration, start date, whether the medication has been discontinued, and whether the medication was prepared by the user. Optional: Whether to verify previous medication use 4.9. Clinical outcome Required fields: Date, whether peritoneal dialysis was discontinued, whether the CHAPD program was discontinued, whether the patient died. Optional: 5. Experimental check (enter the parts of the system that were not integrated in 2019) Mandatory: Report date, indicator, indicator value.

[0123] Optional: Indicator unit, report ID.

[0124] 6. Auxiliary examination (parts not connected to the 2019 system need to be entered)

[0125] Mandatory: Single number, sample site, test date, report time, test result.

[0126] Optional: Application department, sampling time, clinical diagnosis, reporting physician.

[0127] Finally, it should be pointed out that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent replacements to some of the technical features, as long as they are within the spirit and principles of the present application. Any modification, equivalent replacement, improvement, etc. made within the scope of the present application should be included in the protection scope of the present application.

Claims

1. A home peritoneal dialysis treatment center intelligent management and control system, characterized in that, Comprise: APD terminal for collecting dialysis treatment data and vital sign data at home and uploading to primary site through network; Primary site for receiving APD terminal data, performing preliminary data verification and abnormality prompting, carrying out daily follow-up and health education, and uploading screened data to sub-center; Sub-center for aggregating data from primary sites in jurisdiction, performing regional data analysis, remote consultation and diagnosis and treatment suggestion generation, and uploading key data and analysis results to center; Center for centralized storage, intelligent analysis, risk assessment and scientific research quality control management of network data, and issuing analysis results and diagnosis and treatment feedback to sub-center and primary site to realize data closed-loop management; Data processing module for automatic verification, abnormality detection and intelligent analysis of collected data, and generation of risk assessment and graded diagnosis and treatment suggestions; Remote management module for supporting video consultation, telephone follow-up, operation guidance and health education, and realizing remote management of home patients. 2.The home peritoneal dialysis treatment center intelligent management and control system according to claim 1, characterized in that, The primary site further comprises: Data preliminary integrity verification module for detecting whether the uploaded data is complete and in correct format; Abnormality prompting module for sending reminders to patients or medical staff when data is abnormal. 3.The home peritoneal dialysis treatment center intelligent management and control system according to claim 1, characterized in that, The sub-center further comprises: Data quality audit module for logical checking and consistency verification of primary site uploaded data; Regional abnormality detection module for identifying dialysis parameter abnormalities or vital sign abnormalities and generating warning information; Remote consultation module for realizing remote diagnosis and treatment communication between medical staff and primary site or patients.

4. The intelligent management and control system for home peritoneal dialysis treatment center according to claim 1, characterized in that, The center further comprises: Intelligent analysis module for trend analysis, risk prediction and individualized diagnosis and treatment suggestion generation of network data; Pilot cabin display module for visualizing key KPI indicators, including number of patients, number of consultations, quality control situation; Scientific research management module for supporting eCRF construction, data saving and audit trail, automatic verification, data query management, source data verification confirmation, electronic signature, database locking and data export.

5. The intelligent management and control system for home peritoneal dialysis treatment center according to claim 1, characterized in that, The remote management module further comprises: Video consultation function for real-time interaction between medical staff and patients; Telephone follow-up and on-site service function for regular health management; Health education function for providing operation guidance and complication prevention and control knowledge to patients.

6. The intelligent management and control system for home peritoneal dialysis treatment center according to claim 1, characterized in that, The data processing module can automatically generate graded diagnosis and treatment suggestions based on multi-dimensional feature analysis of dialysis treatment data and vital sign data, including: Abnormality detection of collected parameters, including but not limited to dialysis prescription, ultrafiltration volume, blood pressure and heart rate; When the parameters deviate from the set threshold, trend analysis and risk assessment are performed in combination with patient's past data; According to the evaluation results, the preset intervention strategy library is automatically matched to generate primary site intervention measures or sub-center / center remote intervention measures, and is issued to the relevant executing party through a closed-loop feedback mechanism.

7. The intelligent management and control system for home peritoneal dialysis treatment center according to claim 1, characterized in that, The APD terminal can record dialysis prescription, dialysis dose, dialysis time, ultrafiltration volume and patient vital signs, and encrypt the data using encryption algorithms including but not limited to AES symmetric encryption algorithm, RSA asymmetric encryption algorithm or TLS secure transmission protocol to achieve confidentiality and integrity protection of the dialysis data during uploading to the primary site. 8.The home peritoneal dialysis treatment center intelligent management and control system according to claim 1, characterized in that, The system supports closed-loop feedback, i.e. analysis results and treatment recommendations generated by the sub-center or the center can be delivered to the primary site or the patient terminal in real time through instant messaging module, push service or short message service. The closed-loop feedback module also has the function of receiving execution feedback, including automatically recording the execution of the recommendations by the primary site or the patient, and returning the feedback data to the data processing module to form a closed-loop optimization process of diagnosis and treatment recommendations - execution - feedback - re-analysis. 9.The home peritoneal dialysis treatment center intelligent management and control system according to claim 1, characterized in that, The system supports multi-privilege access management, including access control module based on user identity authentication, role-based access permission allocation mechanism and data access log recording; the identity authentication uses any one or more of password verification, two-factor authentication or biometric identification, the access permission is set according to the medical role classification, and the access log is stored by encryption to ensure the traceability of data security and privacy protection.

10. The intelligent management and control system for home peritoneal dialysis treatment center according to claim 1, characterized in that, The system further includes remote follow-up record management function for recording follow-up content, diagnosis and treatment recommendations and patient feedback information through video call module, voice call module or online consultation platform; The follow-up record is stored in two forms of structured data and audio and video files, and is associated with the patient's unique identifier, and is compressed and encrypted before storage, and can be retrieved by time, follow-up type or patient condition through the query interface to support long-term storage and tracking analysis of follow-up information.

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