CN-121999985-A - Chronic patient diet management system, electronic equipment and storage medium

CN121999985ACN 121999985 ACN121999985 ACN 121999985ACN-121999985-A

Abstract

The invention discloses a diet management system for chronic patients, which comprises a data acquisition and integration module, a personalized diet scheme generation module, a diet scheme execution support module and a monitoring and dynamic adjustment module, wherein the data acquisition and integration module is used for acquiring and integrating multi-source data to form a patient exclusive data set, the personalized diet scheme generation module is used for calculating and generating an initial diet scheme based on a medical rule base and the exclusive data set, a final scheme is formed after the initial diet scheme is checked by a medical end, the diet scheme execution support module is used for assisting a user in adjusting the diet scheme through a visualization tool, a recipe base and an intelligent recording mode, the monitoring and dynamic adjustment module is used for acquiring diet execution data and physiological index data of the user, analyzing the relevance of the diet execution data and physiological index data through a machine learning algorithm, generating an adjustment suggestion, and updating the scheme after the verification of the medical end. The invention can automatically integrate multi-source data, intelligently generate and dynamically adjust personalized diet schemes, and provide convenient execution support and continuous health management for patients.

Inventors

GUO JIAN
YANG TIAN
QIAN XUFEN
HAN TING
WANG JINLIANG
WEI WEN
WANG XIAOXIA

Assignees

新疆维吾尔自治区人民医院

Dates

Publication Date: 20260508
Application Date: 20260128

Claims (9)

1. A chronic patient diet management system, comprising: The data acquisition and integration module is used for acquiring and fusing the multi-source data to form a patient-specific data set; The personalized diet scheme generation module is in communication connection with the data acquisition and integration module to receive the exclusive data set of the patient, and is used for calculating and generating an initial diet scheme based on a medical rule base and the exclusive data set, and a final scheme is formed after the initial diet scheme is checked by a medical end; The diet scheme execution support module is in communication connection with the personalized diet scheme generation module to receive the final scheme and is used for assisting a user in adjusting the diet scheme through a visualization tool, a recipe library and an intelligent recording mode; The monitoring and dynamic adjusting module is in communication connection with the diet scheme execution support module and the data acquisition and integration module and is used for acquiring diet execution data and physiological index data of a user, analyzing the relevance of the diet execution data and the physiological index data through a machine learning algorithm, generating an adjusting suggestion, and updating the scheme after confirmation by a medical end.
2. The chronic patient diet management system of claim 1, wherein the data acquisition and integration module comprises: the patient-side data input sub-module and the patient-side illness state reporting sub-module are configured with a user interaction interface for receiving basic information and illness state information input by a user through the user interaction interface The medical end data docking sub-module is provided with a medical data interface and is used for automatically acquiring clinical diagnosis data from the hospital electronic medical record system; And the system data integration sub-module is in communication connection with the patient end data input sub-module, the patient end illness state reporting sub-module and the medical end data docking sub-module, and is used for receiving and integrating the data from the sub-modules, performing cleaning and standardization processing, and storing the data in a database to form a patient exclusive data set.
3. The chronic patient diet management system of claim 2, wherein the personalized diet regimen generation module comprises: The medical rule base calling sub-module is internally provided with a rule base constructed based on clinical diet guidelines and is used for extracting nutrient intake constraint conditions according to chronic disease types of patients; The scheme generation engine sub-module is in communication connection with the system data integration sub-module and the medical rule base calling sub-module, and is used for calculating daily nutrition requirements and distributing nutrient proportions according to patient data and constraint conditions; the meal design submodule is connected with the scheme generation engine submodule and is used for receiving the nutrient proportion and converting the nutrient proportion into a specific meal distribution scheme and a food selection list; and the medical end auditing submodule is connected with the meal design submodule and is used for receiving the meal distribution scheme and the food selection list, sending the generated diet scheme to a doctor or a nutriment client for auditing and confirming and pushing to a patient end.
4. A chronically ill patient meal management system according to claim 3, wherein the meal plan execution support module comprises: A visualization tool sub-module for providing a visual reference standard for the quantity of food; A recipe library sub-module for providing detailed recipe templates; The intelligent recording sub-module comprises an image recognition unit and an Internet of things equipment interface, wherein the image recognition unit comprises a camera and is used for recognizing food types in the meal images and estimating the weight of the food types, and the Internet of things equipment interface is used for connecting an intelligent kitchen ware to acquire food consumption data; and the execution feedback sub-module is used for receiving subjective adaptive feedback of a user on the scheme execution process.
5. The chronic patient diet management system of claim 4 wherein the monitoring and dynamic adjustment module comprises: The data monitoring sub-module is in communication connection with the intelligent recording sub-module and the patient end data input sub-module and is used for continuously collecting diet execution data and physiological index change data of a user; The association analysis sub-module is connected with the data monitoring sub-module and adopts a machine learning algorithm to analyze association relation between physiological index fluctuation and diet behavior; The scheme adjustment engine sub-module is connected with the association analysis module, and is used for generating diet scheme adjustment suggestions according to analysis results and sending the diet scheme adjustment suggestions to the medical terminal auditing sub-module for updating the scheme after confirmation.
6. The chronic patient diet management system of claim 1 further comprising a patient education and support module for pushing diet knowledge content to a user and providing a doctor-patient interactive communication platform, the patient education and support module comprising: The knowledge pushing sub-module is used for pushing the food and beverage science popularization content regularly and directionally according to the disease type of the patient; And the interaction support sub-module is used for providing an on-line communication platform for the patient and the nutritionist and an inter-patient community communication platform.
7. A chronically ill patient meal management system according to claim 2, wherein the standard medical data interface comprises an HL7 interface or FHIR interface.
8. An electronic device comprising at least one processor and a memory, characterized in that the memory has stored thereon a computer program which, when executed by the processor, performs the modular functions of the chronic patient diet management system as claimed in any one of claims 1 to 7.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the modular functions of the chronic patient diet management system as claimed in any one of claims 1 to 7.

Description

Chronic patient diet management system, electronic equipment and storage medium Technical Field The invention relates to the technical field of intelligent medical management, in particular to a diet management system for chronic patients, electronic equipment and a storage medium. Background The background of chronic disease management stems from profound shifts in global population architecture, lifestyle and disease spectrum. Along with the acceleration of the aging process, the prevalence rate of chronic diseases such as hypertension, diabetes, coronary heart disease, chronic obstructive pulmonary disease and the like in the aged population continuously rises, and simultaneously, life style changes such as sedentary hypokinesia, high-oil high-sugar diet, mental stress increase and the like brought by urbanization also gradually spread the chronic diseases to the middle-aged and young population, thereby becoming a first killer threatening the health of human beings. From the social aspect, chronic diseases have the characteristics of long disease course, easy recurrence and more complications, not only lead to the reduction of life quality of patients, but also require frequent outpatient treatment and hospitalization, occupy medical resources for a long time, cause the increase of personal medical burden and social medical cost, and provide challenges for the service mode of the existing medical system. The traditional medical mode taking 'treating acute disease' as a core has difficulty in meeting the requirements of chronic patients on continuous care such as long-term health monitoring, medication guidance, life style intervention and the like. At present, the chronic diseases are mainly managed by the following modes: An off-line linkage system based on the community health service center is a hub, wherein the community health service center is used as a core to connect diagnosis and treatment of a hospital with home care, and after a scheme is formulated by the hospital, the hospital carries out periodic follow-up, basic monitoring and health guidance by the community, and patients need active feedback. The method has the advantages of being close to patients, high in doctor-patient trust and low in cost, and is particularly suitable for the elderly population and patients with stable illness states, but short plates with easy lag of information relying on manual transmission, limited community resources and difficult treatment of complex illness states and influence on management effects by patient coordination degree exist. The Internet plus chronic disease management system is characterized in that a three-party data link is opened by means of intelligent equipment, APP and the like, health data are automatically uploaded and reminded by families of patients, communities view the data in real time and intervene, and hospitals retrieve the data to make a precise scheme. The system realizes real-time information sharing, improves management efficiency and patient participation, adapts to the conditions of young and middle-aged cities and the conditions needing dynamic monitoring, and solves the problems of difficult technical operation of old patients, high cost of the system and equipment, risk of data leakage and insufficient connection of off-line services. The integrated management system for the contracted family doctor takes the contracted family doctor as a first responsible person, coordinates community resources and hospital support, is responsible for the daily management and referral coordination of patients, and provides technical and channel support for the family doctor. The system has clear responsibility and coherent management, can realize floor grading diagnosis and treatment and provide personalized service, is suitable for patients with multiple complications and continuous care, but is limited by insufficient resources of family doctors, partial subscription flows in a form, and uneven hospital support force, so that the actual effect of the system is affected. In summary, the technical problem to be solved by the diet management system for chronic patients can be summarized as 1, static information, dynamic physiological indexes, clinical medical data and daily diet records of patients are scattered in different systems and media, and are different in format, so that unified data which can be used for analysis is difficult to form. 2. The lack of a personalized algorithm engine for converting an authoritative medical guideline into a computable one, the scheme adjustment depends on manual experience, and automatic and timely optimization cannot be performed based on the correlation analysis of diet and indexes. 3. The data flow of the patient end, the medical end and the equipment end is not smooth, and the problem of incompatibility of formats is difficult to solve. Therefore, there is an urgent need for a diet management system for chronic patients, which can deeply integr