Postoperative patient diet guidance and follow-up visit system based on Internet hospital

Abstract

The invention relates to the technical field of postoperative patient diet guidance and follow-up visit, in particular to a postoperative patient diet guidance and follow-up visit system based on an internet hospital, which comprises an electronic medical record management module, a dynamic diet guidance module, an automatic follow-up visit plan generation module and a remote interaction support module. According to the system, by integrating multi-modal data analysis, a self-adaptive algorithm and a real-time feedback mechanism, whole-course management of postoperative patients from hospital discharge to long-term follow-up visit is achieved, and the functions of personalized diet guidance, dynamic adjustment, data sharing and doctor-patient interaction are provided. Meanwhile, the system is combined with a postoperative management strategy and a data security protection strategy, and high efficiency and security are ensured. According to the system, the defects in the aspects of dynamic diet scheme adjustment, data integration and doctor-patient interaction in the prior art can be overcome, and a comprehensive diet management and follow-up visit solution is provided for postoperative patients.

Description

Technical Field

[0001] The present invention belongs to the technical field of the combination of medical health and information technology, and specifically provides a postoperative patient dietary guidance and follow-up system based on an Internet hospital. Background Art

[0002] At present, the domestic postoperative patient dietary guidance and follow-up system still has certain limitations in terms of functional integration and personalized services. With the rapid development of Internet medical care, postoperative management based on Internet hospitals has gradually become a research hotspot. However, the existing technology has not yet fully met the needs in terms of dynamic adjustment of dietary plans, data integration, and doctor-patient interaction. A patient diet intelligent analysis and nutrition matching device with publication number CN112037887B generates a nutritional meal plan through a PLC controller, but it focuses on a single diet and is difficult to support long-term dynamic adjustment after surgery. It is not integrated with the Internet hospital platform, which limits the application scenarios of remote sharing and interaction. In addition, a patient discharge diet compliance monitoring method and system based on a multimodal model with publication number CN118675703B, although it improves the monitoring accuracy, lacks the ability to actively intervene, fails to provide personalized dietary recommendations, and fails to deeply integrate the electronic medical record management module, resulting in insufficient key data import. Therefore, the effect of postoperative patient dietary management and long-term follow-up is affected to a certain extent. The industry is currently facing increasing demand for integrated electronic medical record management, dynamic dietary guidance, and automated follow-up plans, and there is an urgent need for a comprehensive solution to improve rehabilitation quality and medical efficiency. Summary of the Invention

[0003] This invention aims to address the shortcomings of existing postoperative dietary guidance and follow-up systems in terms of dynamic dietary adjustment, data integration, and doctor-patient interaction. By integrating an electronic medical record management module, a dynamic dietary guidance module, an automated follow-up plan generation module, and a remote interactive support module, the present invention provides a postoperative dietary guidance and follow-up system for patients based on an internet hospital. This system combines multimodal data analysis, adaptive algorithms, and real-time feedback mechanisms to enable comprehensive management of postoperative patients from discharge to long-term follow-up, meeting the needs for personalized dietary guidance, dynamic adjustment, data sharing, and doctor-patient interaction.

[0004] The present invention is achieved through the following technical solutions: The postoperative patient dietary guidance and follow-up system based on the Internet hospital includes the following modules: The electronic medical record management module is used to automatically import the patient's basic information, surgery-related information, and test report data, and link it to dietary guidance and follow-up plans in real time; The dynamic diet guidance module is used to dynamically generate personalized diet recommendations based on the patient's physical condition changes at different recovery stages after surgery, combined with the test report data in the electronic medical record management module, and push them to patients through the Internet hospital platform; An automated follow-up plan generation module is used to generate a follow-up schedule based on the postoperative treatment plan and simultaneously send task reminders to the patient and the attending physician team; Remote interactive support module, including: - Abnormal monitoring unit, which is used to analyze the health data uploaded by patients in real time and automatically trigger an alarm when abnormalities in preset indicators are detected; - Real-time communication unit, used to establish an emergency communication channel between the patient and the attending physician team after the alarm is triggered; Among them, the abnormality monitoring unit is connected to the electronic medical record management module, and the abnormal data is fed back to the dynamic diet guidance module in real time to adjust the diet plan, forming a closed-loop collaborative system through the Internet hospital platform.

[0005] Furthermore, the electronic medical record management module includes the following functional components: Patient basic information collection unit, used to automatically import basic information such as height, weight, age, and underlying diseases; Surgical information recording unit, used to record tumor type, stage, surgical method (such as endoscopic, open, laparoscopic or robotic), surgery date and discharge time; The test report analysis unit is used to collect key indicators such as white blood cells, hemoglobin, albumin, liver enzymes, etc. before and after surgery, and conduct dynamic analysis based on postoperative recovery; The data association unit is used to link the above information with the dynamic diet guidance module and the automated follow-up plan generation module to ensure real-time updating and consistency of the data.

[0006] Furthermore, the electronic medical record management module is deployed in the data center server of the medical institution, and exchanges data with the patient terminal devices and the attending physician's workstation through the Internet hospital platform.

[0007] Furthermore, the dynamic diet guidance module includes the following functional components: Dietary assessment unit, used to collect the patient's height, weight, waist circumference and dietary status score every day, and generate comprehensive assessment results based on activity status; A diet plan generation unit is used to generate personalized diet recommendations based on the assessment results and data in the electronic medical record, combined with the postoperative recovery stage; The diet push unit is used to push diet recommendations to patients through the Internet hospital platform, and supports patients to view and provide feedback through terminal devices.

[0008] Furthermore, the dynamic diet guidance module is deployed in the cloud server of the Internet hospital platform, and data interaction is achieved through the patient terminal device and the attending physician's workstation.

[0009] Furthermore, the automated follow-up plan generation module includes the following functional components: The follow-up plan formulation unit is used to generate a detailed follow-up schedule based on the treatment plan (such as whether chemotherapy is used, chemotherapy interval, and regimen) and follow-up requirements (such as blood tests, ultrasound, CT, endoscopy, etc.) filled in by the attending physician at the first follow-up visit after surgery; The task reminder unit is used to send examination task reminders to patients and attending physicians through the Internet hospital platform, and supports patients to register and issue appointments online; The examination result tracking unit is used to automatically collect the examination report after the patient completes the examination and upload it to the electronic medical record management module for reference by the attending physician.

[0010] Furthermore, the automated follow-up plan generation module is deployed in the cloud server of the Internet hospital platform, and task allocation and data synchronization are realized through the patient terminal device and the attending physician's workstation.

[0011] Furthermore, the system also includes a postoperative patient management strategy, which includes a dietary guidance strategy, a follow-up plan strategy and an exception handling strategy; the dietary guidance strategy is set in the dynamic dietary guidance module, the follow-up plan strategy is set in the automated follow-up plan generation module, and the exception handling strategy is set in the remote interactive support module.

[0012] The dietary guidance strategy combines the patient's postoperative recovery stage and physical condition, and uses an adaptive algorithm to dynamically adjust dietary recommendations to ensure that the dietary plan meets the patient's actual needs.

[0013] The follow-up planning strategy uses a task scheduling algorithm to generate a follow-up schedule based on the patient's treatment plan and follow-up requirements, and implements task reminders and examination result tracking through the Internet hospital platform.

[0014] The exception handling strategy monitors the health data uploaded by patients in real time, uses a rule engine to determine whether there are any anomalies, and triggers corresponding reminders and intervention measures.

[0015] Furthermore, the dietary guidance strategy includes the following configurations: Dietary assessment model configuration: A multi-dimensional assessment model is used to combine the patient's daily measurements of height, weight, abdominal circumference, and dietary status score to generate a comprehensive assessment result; Diet plan generation model configuration: A rule-based recommendation algorithm is used to generate personalized diet recommendations based on the postoperative recovery stage and physical condition; Diet push model configuration: Use message push mechanism to send dietary recommendations to patients' terminal devices through the Internet hospital platform.

[0016] Furthermore, the follow-up planning strategy includes the following configurations: Task generation model configuration: Using task scheduling algorithms, a follow-up schedule is generated based on postoperative treatment plans and follow-up visit requirements; Task reminder model configuration: adopt a timed reminder mechanism to send task reminders to patients and attending physicians through the Internet hospital platform; Examination result tracking model configuration: Use automated data collection technology to upload the patient's completed examination report to the electronic medical record management module.

[0017] Furthermore, the exception handling strategy includes the following configurations: Health data monitoring model configuration: Use real-time monitoring technology to dynamically analyze blood routine, liver and kidney function indicators uploaded by patients; Abnormal judgment model configuration: Use the rule engine to determine whether there is an abnormality based on the preset threshold; Abnormal reminder model configuration: Use message notification mechanism to send abnormal reminders to patients and attending physicians through the Internet hospital platform.

[0018] Furthermore, the postoperative patient management strategy also includes a data security protection strategy, which is set up in the cloud server of the Internet hospital platform and ensures the security of patient data through encryption technology and access control mechanism.

[0019] The data security protection strategy includes the following configurations: Data encryption model configuration: AES symmetric encryption algorithm is used to encrypt and store the data uploaded by patients; Access control model configuration: Use a role-based access control mechanism to limit different users' access rights to patient data; Data backup model configuration: Use distributed storage technology to regularly back up patient data to prevent data loss.

[0020] Furthermore, the data encryption model configuration includes the following details: Encryption algorithm selection: AES-256 algorithm is used to encrypt patient sensitive data; Key management mechanism: Hardware security module (HSM) is used to manage encryption keys to ensure key security and availability.

[0021] Furthermore, the access control model configuration includes the following details: User role definition: define different roles such as patients, attending physicians, administrators, etc., and assign corresponding access rights to each role; Permission verification mechanism: OAuth 2.0 protocol is used for user authentication to ensure that only authorized users can access patient data.

[0022] Furthermore, the data backup model configuration includes the following details: Backup frequency setting: Perform a full backup of patient data every morning; Backup storage location: A distributed storage architecture is used to store backup data in multiple geographically located data centers to ensure high data availability.

[0023] In summary, the present invention solves the shortcomings of existing technologies in personalized guidance, dynamic adjustment, data integration and doctor-patient interaction by integrating an electronic medical record management module, a dynamic diet guidance module, an automated follow-up plan generation module and a remote interactive support module, and combining postoperative patient management strategies and data security protection strategies, thereby providing postoperative patients with a comprehensive diet management and long-term follow-up solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 Schematic diagram of the system architecture of the present invention.

[0025] Figure 2 This is the functional structure diagram of the electronic medical record management module.

[0026] Figure 3 This is the workflow diagram of the dynamic diet guidance module.

[0027] Figure 4 Operational flow chart for the automated follow-up plan generation module.

[0028] Figure 5 This is the functional framework diagram of the remote interaction support module. DETAILED DESCRIPTION

[0029] The present invention provides a postoperative patient diet guidance and follow-up system based on Internet hospital. Figure 1 To the attached Figure 5 The specific embodiments of the present invention are described in detail by the component numbers marked in the accompanying drawings. In actual application, the various modules and units of this system are deployed and interacted through the Internet hospital platform, patient terminal devices and medical institution data management systems. The operation process and implementation details are as follows.

[0030] Figure 1This is a schematic diagram of the overall system architecture of the present invention, showing the relationship between the electronic medical record management module, the dynamic diet guidance module, the automated follow-up plan generation module and the remote interactive support module, as well as their connection methods with external devices. The electronic medical record management module is deployed in the data center server of the medical institution, and is connected to the dynamic diet guidance module, the automated follow-up plan generation module and the remote interactive support module through a data interface, and is used to synchronize the collected basic information, surgical information and test report data to other modules in real time. The dynamic diet guidance module and the automated follow-up plan generation module are both deployed in the cloud server of the Internet hospital platform, and interact with the patient terminal device and the attending physician workstation through a data link. The remote interactive support module is also deployed in the cloud server, responsible for realizing real-time communication and data uploading functions between the patient and the attending physician team. The modules communicate with each other through standardized data protocols to ensure the consistency and reliability of data transmission.

[0031] Figure 2 This is the functional structure of the electronic medical record management module. This module includes a patient basic information collection unit, a surgical information recording unit, a test report analysis unit, and a data association unit. The patient basic information collection unit automatically imports patient information such as height, weight, age, and underlying medical conditions from the medical institution's internal information system and stores this data on a data center server. The surgical information recording unit is responsible for recording key information such as tumor type, stage, surgical method (e.g., endoscopic, open, laparoscopic, or robotic), surgery date, and discharge time, and stores this information in association with the patient's basic information. The test report analysis unit collects preoperative and postoperative white blood cell counts, hemoglobin, albumin, liver enzymes, and other indicators from the laboratory information system and dynamically evaluates these indicator trends using data analysis algorithms. The data association unit integrates this information and establishes data links with the dynamic dietary guidance module and the automated follow-up plan generation module, respectively, ensuring that subsequent modules have real-time access to updated patient data. In actual operation, the electronic medical record management module pushes data packets to other modules via the internet hospital platform. Each packet contains the patient's basic information, surgical information, and the latest test results, providing data support for the operation of subsequent modules.

[0032] Figure 3This is a workflow diagram for the dynamic dietary guidance module, which includes a dietary assessment unit, a dietary plan generation unit, and a dietary push unit. The dietary assessment unit collects daily data on height, weight, waist circumference, and dietary status scores from the patient's terminal device and combines this data with activity levels to generate a comprehensive assessment. The dietary assessment model utilizes a multi-dimensional assessment approach, inputting this data into a pre-set algorithm to calculate the patient's nutritional needs and recovery status. The dietary plan generation unit uses this assessment and postoperative recovery stage information provided by the electronic medical record management module, combined with a rule-based recommendation algorithm, to generate personalized dietary recommendations. For example, for patients in the early postoperative period, the system prioritizes a high-protein, low-fat diet; for patients in the recovery phase, a nutritionally balanced diet is adjusted based on their physical condition. The dietary push unit sends the generated dietary recommendations to the patient's terminal device via the online hospital platform's push notification mechanism. Patients can view the specific dietary recommendations and submit feedback through the app. In practice, the dynamic dietary guidance module maintains real-time communication with the patient's terminal device and the attending physician's workstation via a cloud server, ensuring timely updates and dissemination of dietary recommendations.

[0033] Figure 4 This is the operational flow chart of the automated follow-up plan generation module, which includes a follow-up plan development unit, a task reminder unit, and an examination result tracking unit. The follow-up plan development unit uses a task scheduling algorithm to generate a detailed follow-up schedule based on the treatment plan (e.g., chemotherapy, chemotherapy interval, and regimen) and follow-up visit requirements (e.g., blood tests, ultrasound, CT scan, endoscopy, etc.) entered by the attending physician during the first postoperative follow-up visit. The task reminder unit sends examination task reminders to the patient and the attending physician team via the internet hospital platform, including examination items, time, and precautions. Patients can register and order the corresponding examination tasks online through the platform. After the patient completes the examination, the examination result tracking unit automatically collects the examination report through a data interface and uploads it to the electronic medical record management module for the attending physician's reference. In actual operation, the automated follow-up plan generation module synchronizes data with the patient's terminal device and the attending physician's workstation via a cloud server to ensure that follow-up tasks are assigned and executed on time.

[0034] Figure 5The functional framework diagram of the remote interactive support module, which includes a data upload unit, an abnormality monitoring unit and a real-time communication unit. The data upload unit supports patients to upload data such as height, weight, waist circumference, diet score and activity status through terminal devices. These data are transmitted to the cloud server for storage through the Internet hospital platform. The abnormality monitoring unit monitors the blood routine, liver and kidney function and other indicators uploaded by patients in real time. When an abnormality is found, the system will automatically generate a reminder and notify the patient and the attending physician team through a message notification mechanism. The real-time communication unit supports patients and the attending physician team to communicate through text, voice or video through the Internet hospital platform to ensure that problems can be resolved in a timely manner. In actual applications, the remote interactive support module maintains real-time connection with the patient's terminal device and the attending physician's workstation through the cloud server to ensure that patients can receive professional guidance and support during their postoperative recovery.

[0035] The system also includes a postoperative patient management strategy, including a dietary guidance strategy within the dynamic dietary guidance module, a follow-up plan strategy within the automated follow-up plan generation module, and an exception handling strategy within the remote interactive support module. The dietary guidance strategy utilizes an adaptive algorithm to dynamically adjust dietary recommendations based on the patient's postoperative recovery stage and physical condition, ensuring that the dietary plan meets the patient's actual needs. The follow-up plan strategy utilizes a task scheduling algorithm to generate a follow-up schedule based on the patient's treatment plan and follow-up visit requirements. Task reminders and examination result tracking are implemented through the internet hospital platform. The exception handling strategy monitors the health data uploaded by patients in real time, employs a rules engine to determine if anomalies exist, and triggers appropriate reminders and interventions. Furthermore, the system includes a data security protection strategy, which is implemented within the internet hospital platform's cloud server and ensures the security of patient data through encryption technology and access control mechanisms. The data encryption model uses the AES-256 algorithm to encrypt and store sensitive patient data, and the key management mechanism utilizes a hardware security module (HSM) to manage encryption keys. The access control model defines different roles, such as patient, attending physician, and administrator, and assigns corresponding access rights to each role. The permission verification mechanism utilizes the OAuth 2.0 protocol for user authentication. The data backup model uses distributed storage technology to perform a full backup of patient data every morning and store the backup data in multiple geographically different data centers to ensure high data availability.

[0036] In actual application scenarios, the system first collects the patient's initial data through the electronic medical record management module. The dynamic diet guidance module then generates personalized dietary recommendations based on the patient's physical condition and pushes them to the patient through the Internet hospital platform. The automated follow-up plan generation module generates a follow-up schedule based on the patient's treatment plan and ensures that the patient completes the examination tasks on time through a task reminder mechanism. The remote interactive support module ensures that patients can receive timely professional guidance during their postoperative recovery through real-time communication and data upload functions. The entire system achieves real-time data synchronization and interaction through the Internet hospital platform, ensuring that doctors and patients can collaborate efficiently and providing comprehensive diet management and long-term follow-up solutions for postoperative patients.

[0037] In order to enable relevant personnel in this technical field to fully understand and implement the present invention, the specific implementation principle of the present invention is supplemented below with reference to a specific application scenario.

[0038] First, upon discharge after surgery, the patient's height, weight, age, and underlying medical conditions are automatically imported through the Patient Basic Information Collection Unit within the Electronic Medical Record Management Module. The Surgical Information Recording Unit then records key information such as tumor type, stage, surgical method (e.g., endoscopic, open, laparoscopic, or robotic), surgery date, and discharge time. Subsequently, the Test Report Analysis Unit retrieves pre- and post-operative data on indicators such as white blood cells, hemoglobin, albumin, and liver enzymes from the laboratory information system and dynamically evaluates the changing trends of these indicators using data analysis algorithms. The Data Association Unit integrates this information and establishes data links with the Dynamic Diet Guidance Module and the Automated Follow-up Plan Generation Module, ensuring that subsequent modules receive updated patient data in real time. During this process, the Electronic Medical Record Management Module pushes data packets to other modules via the Internet Hospital Platform. Each packet contains the patient's basic information, surgical details, and the latest test results, providing data support for the operation of subsequent modules.

[0039] Next, the Dietary Assessment Unit within the Dynamic Dietary Guidance Module collects daily data on height, weight, waist circumference, and dietary status from the patient's device, combining it with activity data to generate a comprehensive assessment. The Dietary Assessment Model utilizes a multi-dimensional assessment approach, feeding this collected data into a pre-set algorithm to calculate the patient's nutritional needs and recovery status. The Dietary Plan Generation Unit, based on this assessment and postoperative recovery stage information provided by the Electronic Medical Record Management Module, utilizes a rule-based recommendation algorithm to generate personalized dietary recommendations. For example, for patients in the early postoperative period, the system prioritizes a high-protein, low-fat diet; for patients in the recovery phase, a nutritionally balanced diet is adjusted based on their physical condition. The Dietary Push Unit sends these recommendations to the patient's device via the online hospital platform's push notification mechanism. Patients can view the specific recommendations and submit feedback via the app. Throughout this process, the Dynamic Dietary Guidance Module maintains real-time communication with the patient's device and the attending physician's workstation via a cloud server, ensuring timely updates and dissemination of dietary recommendations.

[0040] Subsequently, the Follow-up Plan Development Unit within the Automated Follow-up Plan Generation Module uses a task scheduling algorithm to generate a detailed follow-up schedule based on the treatment plan (e.g., chemotherapy, chemotherapy interval, and regimen) and follow-up visit requirements (e.g., blood tests, ultrasound, CT scan, endoscopy, etc.) entered by the attending physician during the first postoperative follow-up visit. The Task Reminder Unit sends examination task reminders to the patient and the attending physician team via the internet hospital platform, including examination items, time, and precautions. Patients can register and order online through the platform to complete the corresponding examination tasks. After the patient completes the examination, the Examination Result Tracking Unit automatically collects the examination report through a data interface and uploads it to the Electronic Medical Record Management Module for the attending physician's reference. During this process, the Automated Follow-up Plan Generation Module synchronizes data with the patient's terminal device and the attending physician's workstation via a cloud server to ensure that follow-up tasks are assigned and executed on time.

[0041] Finally, the data upload unit in the remote interactive support module supports patients to upload data such as height, weight, waist circumference, diet score and activity status through terminal devices. These data are transmitted to the cloud server through the Internet hospital platform for storage. The abnormality monitoring unit monitors the blood routine, liver and kidney function and other indicators uploaded by patients in real time. When abnormalities are found, the system will automatically generate reminders and notify the patient and the attending physician team through the message notification mechanism. The real-time communication unit supports patients and the attending physician team to communicate through text, voice or video through the Internet hospital platform to ensure that problems can be resolved in a timely manner. During this process, the remote interactive support module maintains real-time connection with the patient's terminal device and the attending physician's workstation through the cloud server to ensure that patients can receive professional guidance and support during their postoperative recovery.

[0042] Furthermore, the system's data security strategy encrypts and stores sensitive patient data using the AES-256 algorithm, employing a hardware security module (HSM) to manage encryption keys. The access control model defines distinct roles, such as patients, attending physicians, and administrators, and assigns corresponding access rights to each role. The permission verification mechanism utilizes the OAuth 2.0 protocol for user authentication. The data backup model utilizes distributed storage technology, performing a full backup of patient data each morning and storing the backup data in multiple geographically diverse data centers to ensure high data availability.

[0043] In summary, this system collects the patient's initial data through the electronic medical record management module, and the dynamic diet guidance module generates personalized diet recommendations based on the patient's physical condition and pushes them to the patient through the Internet hospital platform. The automated follow-up plan generation module generates a follow-up schedule based on the patient's treatment plan and ensures that the patient completes the examination tasks on time through a task reminder mechanism. The remote interactive support module ensures that patients can receive timely professional guidance during their postoperative recovery through real-time communication and data upload functions. The entire system achieves real-time data synchronization and interaction through the Internet hospital platform, ensuring that doctors and patients can collaborate efficiently and providing comprehensive diet management and long-term follow-up solutions for postoperative patients.

[0044] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "includes," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0045] While embodiments of the present invention have been shown and described, those skilled in the art will appreciate that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents. A task scheduling algorithm generates a detailed follow-up schedule based on the treatment plan (e.g., chemotherapy, chemotherapy interval, and regimen) and follow-up visit requirements (e.g., blood tests, ultrasound, CT scan, endoscopy, etc.) entered by the attending physician during the first postoperative follow-up visit. A task reminder unit sends examination task reminders to the patient and the attending physician team via the internet hospital platform, including examination items, time, and precautions. Patients can register and order their examination tasks online through the platform. After the patient completes the examination, the examination result tracking unit automatically collects the examination report through a data interface and uploads it to the electronic medical record management module for the attending physician's reference. During this process, the automated follow-up plan generation module synchronizes data with the patient's terminal device and the attending physician's workstation via a cloud server to ensure that follow-up tasks are assigned and executed on time.

[0046] Finally, the data upload unit in the remote interactive support module supports patients to upload data such as height, weight, waist circumference, diet score and activity status through terminal devices. These data are transmitted to the cloud server through the Internet hospital platform for storage. The abnormality monitoring unit monitors the blood routine, liver and kidney function and other indicators uploaded by patients in real time. When abnormalities are found, the system will automatically generate reminders and notify the patient and the attending physician team through the message notification mechanism. The real-time communication unit supports patients and the attending physician team to communicate through text, voice or video through the Internet hospital platform to ensure that problems can be resolved in a timely manner. During this process, the remote interactive support module maintains real-time connection with the patient's terminal device and the attending physician's workstation through the cloud server to ensure that patients can receive professional guidance and support during their postoperative recovery.

[0047] Furthermore, the system's data security strategy encrypts and stores sensitive patient data using the AES-256 algorithm, employing a hardware security module (HSM) to manage encryption keys. The access control model defines distinct roles, such as patients, attending physicians, and administrators, and assigns corresponding access rights to each role. The permission verification mechanism utilizes the OAuth 2.0 protocol for user authentication. The data backup model utilizes distributed storage technology, performing a full backup of patient data each morning and storing the backup data in multiple geographically diverse data centers to ensure high data availability.

[0048] In summary, this system collects the patient's initial data through the electronic medical record management module, and the dynamic diet guidance module generates personalized diet recommendations based on the patient's physical condition and pushes them to the patient through the Internet hospital platform. The automated follow-up plan generation module generates a follow-up schedule based on the patient's treatment plan and ensures that the patient completes the examination tasks on time through a task reminder mechanism. The remote interactive support module ensures that patients can receive timely professional guidance during their postoperative recovery through real-time communication and data upload functions. The entire system achieves real-time data synchronization and interaction through the Internet hospital platform, ensuring that doctors and patients can collaborate efficiently and providing comprehensive diet management and long-term follow-up solutions for postoperative patients.

[0049] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "includes," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0050] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. The postoperative patient dietary guidance and follow-up system based on the Internet hospital is characterized by: The system includes the following modules: The electronic medical record management module is used to automatically import the patient's basic information, surgery-related information, and test report data, and link it to dietary guidance and follow-up plans in real time; The dynamic diet guidance module is used to dynamically generate personalized diet recommendations based on the patient's physical condition changes at different recovery stages after surgery, combined with the test report data in the electronic medical record management module, and push them to patients through the Internet hospital platform; An automated follow-up plan generation module is used to generate a follow-up schedule based on the postoperative treatment plan and simultaneously send task reminders to the patient and the attending physician team; Remote interactive support module, including: The abnormality monitoring unit is used to analyze the health data uploaded by patients in real time and automatically trigger an alarm when abnormalities in preset indicators are detected; A real-time communication unit is used to establish an emergency communication channel between the patient and the attending physician team after the alarm is triggered; Among them, the abnormality monitoring unit is connected to the electronic medical record management module, and the abnormal data is fed back to the dynamic diet guidance module in real time to adjust the diet plan, forming a closed-loop collaborative system through the Internet hospital platform.

2. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 1 is characterized in that: The electronic medical record management module includes the following functional components: Patient basic information collection unit, used to automatically import basic information such as height, weight, age, and underlying diseases; Surgical information recording unit, used to record tumor type, stage, surgical method, surgical date and discharge time; The test report analysis unit is used to collect key indicators such as white blood cells, hemoglobin, albumin, liver enzymes, etc. before and after surgery, and conduct dynamic analysis based on postoperative recovery; The data association unit is used to link the above information with the dynamic diet guidance module and the automated follow-up plan generation module.

3. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 1 is characterized in that: The dynamic diet guidance module includes the following functional components: Dietary assessment unit, used to collect the patient's height, weight, waist circumference and dietary status score every day, and generate comprehensive assessment results based on activity status; A diet plan generation unit is used to generate personalized diet recommendations based on the assessment results and data in the electronic medical record, combined with the postoperative recovery stage; The diet push unit is used to push diet recommendations to patients through the Internet hospital platform, and supports patients to view and provide feedback through terminal devices.

4. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 1 is characterized in that: The automated follow-up plan generation module includes the following functional components: The follow-up plan formulation unit is used to generate a detailed follow-up schedule based on the treatment plan and follow-up requirements filled in by the attending physician during the first follow-up visit after surgery; The task reminder unit is used to send examination task reminders to patients and attending physicians through the Internet hospital platform, and supports patients to register and issue appointments online; The examination result tracking unit is used to automatically collect the examination report and upload it to the electronic medical record management module after the patient completes the examination.

5. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 1 is characterized in that: The system also includes a postoperative patient management strategy, which includes a dietary guidance strategy, a follow-up plan strategy and an exception handling strategy; the dietary guidance strategy is set in the dynamic dietary guidance module, the follow-up plan strategy is set in the automated follow-up plan generation module, and the exception handling strategy is set in the remote interactive support module.

6. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 5 is characterized in that: The dietary guidance strategy includes the following configurations: The dietary assessment model configuration uses a multidimensional assessment model, combining the patient's daily measurements of height, weight, abdominal circumference, and dietary status score to generate a comprehensive assessment result; The diet plan generation model configuration uses a rule-based recommendation algorithm to generate personalized diet recommendations based on the postoperative recovery stage and physical condition; The diet push model configuration adopts a message push mechanism to send diet recommendations to the patient's terminal device through the Internet hospital platform.

7. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 5 is characterized in that: The follow-up planning strategy includes the following configurations: The task generation model is configured to use a task scheduling algorithm to generate a follow-up schedule based on the postoperative treatment plan and follow-up visit requirements; The task reminder model is configured to use a timed reminder mechanism to send task reminders to patients and attending physicians through the Internet hospital platform; The examination result tracking model is configured to upload the patient's completed examination report to the electronic medical record management module using automated data collection technology.

8. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 5 is characterized in that: The exception handling strategy includes the following configurations: The health data monitoring model configuration uses real-time monitoring technology to dynamically analyze the blood routine, liver and kidney function indicators uploaded by patients; The abnormality judgment model configuration uses a rule engine to determine whether an abnormality exists based on the preset threshold; The abnormal reminder model is configured and uses a message notification mechanism to send abnormal reminders to patients and attending physicians through the Internet hospital platform.

9. The postoperative patient dietary guidance and follow-up system based on the Internet hospital according to claim 1 is characterized in that: The system also includes a data security protection strategy, which is set up in the cloud server of the Internet hospital platform and includes the following configurations: Data encryption model configuration uses AES-256 algorithm to encrypt and store patient sensitive data; Access control model configuration, defining different roles such as patients, attending physicians, and administrators, and assigning corresponding access rights to each role; The data backup model is configured using distributed storage technology to regularly back up patient data.

Images