Patient out-of-hospital illness state and diet life information sharing system
By designing an out-of-hospital disease and dietary information sharing system, the problem of difficulty in effectively following up and guiding chronic disease patients outside the hospital in the prior art is solved, online interaction between doctors and patients and personalized health management is realized, and the effectiveness and efficiency of chronic disease management is improved.
Patent Information
- Application Number
- CN202510093113.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-21
- Publication Date
- 2025-05-16
AI Technical Summary
The prior art is difficult to effectively follow up and guide patients with chronic diseases outside the hospital, especially gastroenterology diseases such as inflammatory bowel disease that are closely related to diet and lifestyle, and lack professional clinical guidance and accurate measurement of nutrient intake.
A system for sharing information about patients' out-of-hospital disease and diet and life is designed, including the interaction layer and the core business layer. The core business layer includes the health service follow-up management module, the algorithm module and the operation support business module. The system enables online interaction between doctors and patients, records and monitors patients' diet and health data, generates nutritional intake reports, and provides professional clinical guidance and feedback.
Through this system, patients' out-of-hospital follow-up and guidance are possible. Doctors can provide personalized diet and lifestyle suggestions based on real-time data, improve the effectiveness and efficiency of chronic disease management, meet the needs of individualized medical care, and provide detailed clinical data for scientific research.
Smart Images
Figure CN120015375A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of diet management, and more specifically to a system for sharing information on patients' outpatient conditions, diet and lifestyle. Background Art
[0002] Currently, all major medical institutions are developing and applying small programs for medical services, providing patients with many services on the application side, such as registration for medical treatment, query of test results, and appointment for examination. However, the medical management assistance provided by these programs is limited to the current medical treatment period. For some chronic diseases that require long-term follow-up, especially inflammatory bowel disease and other digestive diseases that are closely related to daily diet and lifestyle habits, follow-up, supervision and guidance feedback outside the hospital are not yet possible.
[0003] At the same time, there are many sports health record software on mobile phones, which can be used by users to record their daily diet, sleep and exercise status, etc. For diet records, the nutrient intake can be analyzed through the background data to provide certain feedback. However, this type of software also has a series of problems: ① The knowledge base lacks scientific guarantees, and the ingredient content of many ingredients comes from unofficial recipes and nutritional tables, which cannot ensure the accurate measurement of nutrient intake; ② There is no professional clinical guidance feedback, and only basic general suggestions can be provided. Patients with special diseases still need professional clinicians to further educate patients and adjust the plan based on their medical information and examination results. Summary of the invention
[0004] In view of this, the present invention provides a system for sharing information on patients' outpatient medical conditions and diet and lifestyle, so as to solve the problems existing in the above-mentioned background technology.
[0005] In order to achieve the above object, the present invention adopts the following technical solution:
[0006] A system for sharing information on patients' outpatient medical conditions, diet and lifestyle, comprising: an interaction layer and a core business layer, wherein the core business layer comprises a health service follow-up management module, an algorithm module and an operation support business module, wherein the interaction layer, the health service follow-up management module and the algorithm module are bidirectionally connected in sequence; the interaction layer realizes online interaction between doctors and patients; the health service follow-up management module is used to record and monitor patients' diet data and health data, receive nutrition intake reports at the same time, generate health diaries, and generate text comments based on the health diaries; the algorithm module calculates nutrition intake based on diet data to generate nutrition intake reports; and the operation support business module is used to manage system access rights of different users of the interaction layer and manage follow-up plans.
[0007] Preferably, the interaction layer includes an H5 unit, an APP unit, and a WEB unit. The APP unit includes the Union Medical College Patient APP and the Union Medical College Doctor APP. The H5 unit provides a mobile access interface connected to the Union Medical College Patient APP and the Union Medical College Doctor APP. The WEB unit provides a PC operating platform for medical staff, which is signal-connected to the Union Medical College Patient APP.
[0008] Preferably, the health service follow-up management module includes a health diary unit, a diet diary unit, an indicator monitoring unit, a diary comment unit, and an exercise recording unit. The diet diary unit records the patient's diet data; the indicator monitoring unit records the patient's bowel movement data, weight data, and medication data; the exercise recording unit records the patient's exercise data; the health diary unit generates a health diary based on the diet data, bowel movement data, weight data, medication data, and exercise data; and the diary comment unit is a doctor who makes text comments based on the health diary.
[0009] Preferably, the algorithm module calculates nutrient content based on food images and weights in the dietary data to generate a nutrient intake report.
[0010] Preferably, the operation support business module includes a resource library management unit, which manages various types of data in the data layer; the data layer includes a patient information library, a health record library, an education resource library, a course library, a scale library, an exercise method library, and a scientific research data set, wherein the patient information library is used to store patient data information; the health record library is used to store health data of patients during the course of their disease; the education resource library stores daily health management education content for patients with different special diseases maintained by the project team; the course library stores special disease knowledge maintained by the project team for patients to learn; the scale library stores scales maintained by the project team for patients with different special diseases to evaluate disease progression during the course of their disease; the exercise method library stores exercise patterns corresponding to patients with different special diseases; the scientific research data set presents and stores the data stored in the patient information library, health record library, education resource library, course library, scale library and exercise method library in a structured manner.
[0011] Preferably, the operation support business module also includes: a system role permission management unit, a project management unit, a follow-up management unit, and a community management unit. The system role permission management unit manages the system access rights of different users in the interaction layer; the project management unit manages disease diet standards and follow-up procedures for different special disease management projects; the follow-up management unit manages the patient feedback recording process; and the community management unit publishes the contents of the education resource library, course library, scale library, and exercise method library to the patient APP.
[0012] Preferably, the health service follow-up management module also includes an education lecture unit, a patient follow-up unit, a plan execution unit, a task reminder unit, a review task unit, a health community unit, and a patient file unit. The education lecture unit recommends educational resources and corresponding courses based on the patient's disease; the patient follow-up unit generates a visit plan for the patient's different disease courses; the plan execution unit pushes the visit plan to the patient APP; the task reminder unit reminds the patient of the content of the visit plan; after the patient completes the visit, the doctor in the review task unit communicates with the patient in text regarding the content of the visit; the health community unit is a unit for communication between the same patients; and the patient file unit presents corresponding data between the patient information library and the health file library.
[0013] Preferably, it also includes a data docking bus, which enables the system to share data with the hospital HIS, and the hospital HIS is a hospital information system.
[0014] It can be seen from the above technical solutions that compared with the prior art, the present invention discloses a system for sharing information on patients' out-of-hospital conditions, diet and lifestyle, making out-of-hospital follow-up of patients possible. Information such as daily meals and symptom self-assessment can be recorded in real time and mastered by clinicians. Based on these data, the doctor's guidance and feedback on diet and lifestyle can also extend the traditional in-hospital diagnosis and treatment to outside the hospital. Based on the doctor's clinical judgment of follow-up patients, the health platform can also classify and identify patients through algorithms, so as to carry out targeted education content delivery, health management guidance and feedback to meet the needs of personalized medicine. From a scientific research perspective, the platform's data records also provide detailed and reliable clinical data for diet and disease-related research that is more difficult to carry out. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0016] Figure 1 A schematic diagram of the structure provided by the present invention. DETAILED DESCRIPTION
[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0018] The embodiment of the present invention discloses a system for sharing information about the patient's outpatient condition and diet. Figure 1 As shown, it includes: an interaction layer and a core business layer. The core business layer includes a health service follow-up management module, an algorithm module and an operation support business module. The interaction layer, the health service follow-up management module and the algorithm module are bidirectionally connected in sequence; the interaction layer realizes online interaction between doctors and patients; the health service follow-up management module is used to record and monitor the patient's diet data and health data, receive nutritional intake reports at the same time, generate health diaries, and generate text comments based on the health diaries; the algorithm module calculates nutritional intake based on dietary data to generate nutritional intake reports; the operation support business module is used to manage the system access rights of different users of the interaction layer and manage follow-up plans.
[0019] In a specific embodiment, the interaction layer includes an H5 unit, an APP unit, and a WEB unit. The APP unit includes the Union Medical College Patient APP and the Union Medical College Doctor APP. The H5 unit provides a mobile access interface connected to the Union Medical College Patient APP and the Union Medical College Doctor APP. The WEB unit provides a PC operating platform for medical staff and is signal-connected to the Union Medical College Patient APP.
[0020] The H5 unit includes: the doctor part, which provides a lightweight mobile access interface for doctors; and the patient part, which provides a lightweight mobile access interface for patients.
[0021] In a specific embodiment, the health service follow-up management module includes a health diary unit, a diet diary unit, an indicator monitoring unit, a diary comment unit, and an exercise recording unit. The diet diary unit records the patient's diet data; the indicator monitoring unit records the patient's bowel movement data, weight data, and medication data; the exercise recording unit records the patient's exercise data; the health diary unit generates a health diary based on the diet data, bowel movement data, weight data, medication data, and exercise data; and the diary comment unit is for doctors to make text comments based on the health diary.
[0022] a) Health Diary
[0023] Function: Record the patient's daily health status;
[0024] Implementation method: The patient fills out a diet diary, exercise diary, medication diary, etc. to form a health diary for the day.
[0025] b) Food diary
[0026] Function: Record the patient's diet;
[0027] Implementation method: Record the patient's diet, take photos and upload them, and manually enter records including food, weight and other data.
[0028] c)Indicator monitoring
[0029] Function: record patient weight, bowel movement monitoring, today's condition and other indicators;
[0030] Implementation method: Support manual input.
[0031] d) Diary comments
[0032] Function: Doctors make professional comments on patients’ health diaries;
[0033] Implementation method: Support text reviews.
[0034] e) Sports records
[0035] Function: Record the patient's movement;
[0036] Implementation method: Supports manual recording of exercise time, heart rate after exercise and other data.
[0037] In a specific embodiment, the algorithm module calculates the nutrient content based on the food pictures and weights in the dietary data and generates a nutrient intake report.
[0038] Input: Patient's dietary record (including food pictures and descriptions);
[0039] Processing: Artificial intelligence calculates the weight of all ingredients based on the recorded weight of each dish and the proportion of ingredients in each dish in the database. Convert the recorded food into raw weight (refer to the 2022 edition of the Dietary Guidelines for Residents), and calculate the content of various nutrients in each food (data source: Chinese Food Composition Table 6th Edition Volume 1 Volume 2 Chinese Food Composition Table 2004 Edition Chinese Food Composition Table 2009 Edition, calculation formula: ingredient weight * nutrient content per encyclopedia / 100);
[0040] Output: Nutritional intake report.
[0041] In a specific embodiment, the operation support business module also includes a resource library management unit, which manages various types of data in the data layer; the data layer includes a patient information library, a health archive library, an education resource library, a course library, a scale library, an exercise method library, and a scientific research data set. The patient information library stores basic patient information; the health archive library stores health data in the course of the patient's disease (such as test data, diet record data, exercise records, emotional records, and other incremental data generated during the course of the disease); the education resource library stores daily health management education content for patients with different special diseases maintained by the project team (such as education articles, videos, and interactive pages); the course library stores special disease knowledge maintained by the project team for patients to learn; the scale library stores scales maintained by the project team for patients with different special diseases to evaluate disease progression during the course of the disease; the exercise method library stores exercise patterns corresponding to patients with different special diseases; the scientific research data set presents and stores the data stored in the patient information library, health archive library, education resource library, course library, scale library, and exercise method library in a structured manner, which can be used for research and analysis.
[0042] a) System role permission management
[0043] Function: Manage system access rights of different users;
[0044] Implementation: Role-based access control model.
[0045] b) Resource library management
[0046] Function: Manage various resources in the system, such as educational content, scales, etc.;
[0047] Implementation: A unified resource management platform that supports uploading, reviewing, and publishing resources.
[0048] c) Project Management
[0049] Function: Manage follow-up items and follow-up plans, etc.;
[0050] Implementation: Provides functions such as project creation, participating departments, follow-up plans, and follow-up patients.
[0051] In a specific embodiment, the operation support business module also includes: a system role permission management unit, a project management unit, a follow-up management unit, and a community management unit. The system role permission management unit manages the system access rights of different users in the interaction layer; the project management unit manages the disease diet standards and follow-up procedures for different specialized disease management projects; the follow-up management unit manages the patient feedback recording process; and the community management unit publishes the contents of the education resource library, course library, scale library, and exercise method library to the patient APP.
[0052] In a specific embodiment, the health service follow-up management module also includes a lecture unit, a patient follow-up unit, a plan execution unit, a task reminder unit, a review task unit, a health community unit, and a patient file unit. The lecture unit recommends educational resources and corresponding courses according to the patient's disease; the patient follow-up unit generates a visit plan for the course of different diseases of the patient; the plan execution unit pushes the visit plan to the patient APP; the task reminder unit reminds the patient to visit during the execution of the visit plan, and reminds the doctor of the unit that the patient has completed after the patient's visit is completed; the review task unit is a unit in which the doctor communicates with the patient in text about the content of the visit after the patient completes the visit; the health community unit is a unit for communication between the same patients; and the patient file unit presents the corresponding data of the patient information library and the health file library. Among them, one follow-up is called a visit plan.
[0053] In a specific embodiment, it also includes a data docking bus, which allows the system to share data with the hospital HIS, which is a hospital information system.
[0054] Workflow
[0055] Data collection: Patients record their daily health data through the APP or H5 page, including diet, exercise, symptoms, etc.
[0056] Data processing and analysis: The health service & follow-up management module performs preliminary processing on the collected data;
[0057] Algorithm modules conduct in-depth analysis, such as nutritional assessment;
[0058] Physician monitoring and intervention: Physicians review patient data and analysis results through the system, make comments, adjust project plans, and adjust follow-up plans and questionnaires;
[0059] Patient feedback and implementation: Patients receive health advice and doctor guidance, implement follow-up feedback, and continuously record health data;
[0060] System optimization: Continuously optimize algorithms and service processes based on new data and feedback;
[0061] Data sharing and research: Based on patient authorization, anonymized data is used for medical research; data is exchanged with the hospital HIS system to maintain information consistency.
[0062] System deployment: Use cloud server clusters to ensure high availability and scalability of the system; use container technology (such as Docker) to implement microservice architecture to facilitate independent development and deployment of modules; implement load balancing mechanism to optimize system performance.
[0063] Data security: Use end-to-end encryption technology to protect data transmission; implement role-based access control and strictly manage data access rights; regular data backup and disaster recovery mechanism.
[0064] Interface design: Adopt RESTful API design principles to ensure the consistency and comprehensibility of the interface; implement API version control to support smooth system upgrades; use API gateway to unify management interfaces to implement authentication, current limiting, monitoring and other functions.
[0065] Mobile development: Use cross-platform development frameworks (such as ReactNative) to ensure a consistent experience on iOS and Android platforms; implement offline data storage and synchronization mechanisms to improve the usability of the app; optimize mobile performance to ensure smooth use under various network conditions.
[0066] Clinicians and back-end technicians log in to the health management platform system, label and group the included patients, assign clock-in tasks to patients based on clinical needs, and send messages to remind them regularly.
[0067] Patients can see the daily dietary records and questionnaires they need to fill out in the patient app, and complete the outpatient testing on schedule after being educated by the clinician.
[0068] During follow-up visits, doctors check patients’ recent condition feedback and diet quality through the doctor-side APP and health management platform, determine the current disease activity, make further adjustments to lifestyle and diet, issue relevant medical advice through the APP, and regularly review patients’ diet diaries.
[0069] While filling out the records, patients can regularly browse the educational videos and pictures pushed by clinicians through the patient education module, and can also share their diet and lifestyle with other patients in the patient community.
[0070] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.
[0071] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A system for sharing information about patients' outpatient medical conditions and diet and lifestyle, characterized in that: include: Interaction layer, core business layer, the core business layer includes a health service follow-up management module, an algorithm module and an operation support business module, the interaction layer, the health service follow-up management module and the algorithm module are bidirectionally connected in sequence; the interaction layer realizes online interaction between doctors and patients; the health service follow-up management module is used to record and monitor the patient's diet data and health data while receiving a nutrition intake report, generating a health diary, and generating text comments based on the health diary; The algorithm module calculates the nutritional intake based on the dietary data and generates a nutritional intake report; The operation support business module is used to manage the system access rights of different users in the interaction layer and manage the follow-up plan.
2. A patient outpatient condition, diet and lifestyle information sharing system according to claim 1, characterized in that: The interaction layer includes H5 unit, APP unit and WEB unit. The APP unit includes Union Medical College Patient APP and Union Medical College Doctor APP. The H5 unit provides a mobile access interface connected to the Union Medical College Patient APP and Union Medical College Doctor APP. The WEB unit provides a PC operating platform for medical staff and is signal-connected to the Union Medical College Patient APP.
3. A patient outpatient condition, diet and lifestyle information sharing system according to claim 1, characterized in that: The health service follow-up management module includes a health diary unit, a diet diary unit, an indicator monitoring unit, a diary review unit, and an exercise recording unit. The diet diary unit records the patient's diet data; The indicator monitoring unit records the patient's bowel movement data, weight data and medication data; the exercise recording unit records the patient's exercise data; the health diary unit generates a health diary based on the diet data, bowel movement data, weight data, medication data and exercise data; the diary review unit is a doctor who makes text reviews based on the health diary.
4. A system for sharing information on outpatient medical conditions and diet and lifestyle of patients according to claim 3, characterized in that: The algorithm module calculates the nutrient content based on the food pictures and weights in the dietary data and generates a nutrient intake report.
5. A system for sharing information on outpatient medical conditions and diet and lifestyle of patients according to claim 2, characterized in that: The operation support business module includes a resource library management unit, which manages various types of data in the data layer; the data layer includes a patient information library, a health record library, an education resource library, a course library, a scale library, an exercise method library, and a scientific research data set. The patient information library is used to store patient data information; the health record library is used to store health data of patients during the course of their disease; the education resource library storage project team maintains daily health management education content for patients with different special diseases; the course library storage project team maintains special disease knowledge for patients to learn; the scale library storage project team maintains scales for patients with different special diseases to evaluate disease progression during the course of the disease; the exercise method library stores exercise patterns corresponding to patients with different special diseases; the scientific research data set presents and stores the data stored in the patient information library, health record library, education resource library, course library, scale library and exercise method library in a structured manner.
6. A system for sharing information on outpatient medical conditions, diet and lifestyle of patients according to claim 5, characterized in that: The operation support business module also includes: a system role permission management unit, a project management unit, a follow-up management unit, and a community management unit. The system role permission management unit manages the system access rights of different users in the interaction layer; the project management unit manages the disease diet standards and follow-up procedures for different special disease management projects; the follow-up management unit manages the patient feedback recording process; and the community management unit publishes the contents of the education resource library, course library, scale library, and exercise method library to the patient APP.
7. A system for sharing information on outpatient conditions, diet and lifestyle of patients according to claim 6, characterized in that: The health service follow-up management module also includes a lecture unit, a patient follow-up unit, a plan execution unit, a task reminder unit, a review task unit, a health community unit, and a patient file unit. The lecture unit recommends educational resources and corresponding courses according to the patient's disease; the patient follow-up unit generates a visit plan for the patient's different disease courses; The plan execution unit pushes the visit plan to the patient APP; The task reminder unit reminds the patient of the visit plan content; After the patient completes the visit, the doctor communicates with the patient in text regarding the visit content in the review task unit; the health community unit is a unit for communication between the same patients; and the patient file unit presents the corresponding data in the patient information library and the health file library.
8. A system for sharing information on outpatient medical conditions and diet and lifestyle of patients according to claim 1, characterized in that: It also includes a data docking bus, which allows the system to share data with a hospital HIS, which is a hospital information system.