Novel individualized diabetes mellitus dietary nutrition prescription generation system

Abstract

The invention discloses an individualized dietary nutrition prescription generation system suitable for diabetics, and relates to the technical field of diabetes dietary nutrition management. The dietary nutrition prescription generation system suitable for the diabetics comprises an information collection module, an information processing module and a scheme output module. According to physique measurement information, complication conditions, sugar control drug use conditions, blood sugar control effects and exercise conditions of patients, related data such as latest diabetes diagnosis and treatment guidelines, Chinese resident dietary nutrient reference intake, Chinese food composition table data, food glycemic indexes and blood sugar loads can be combined, and Chinese family dishes can be referred. A personalized dietary nutrition prescription suitable for the patient at the present stage is generated through comprehensive evaluation in combination with data such as food allergy or intolerance history and personal food preference; the scheme relates to comprehensive factors such as food matching (refined to gram number of each food material) of each meal, nutrition related data analysis (contents of calories, carbohydrates, fat, proteins, various vitamins and mineral substances), corresponding diet guidance and suggestions and the like. According to the invention, personalized dietary nutrition management of diabetics is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of diabetic dietary nutrition management, and particularly relates to a novel individualized diabetic dietary nutrition prescription generation system. Background Art

[0002] Diabetes is a chronic metabolic disease caused by the long-term combined action of genetic factors and environmental factors. In recent years, the prevalence rate has been increasing year by year, seriously endangering the health of residents, and it is an important public health problem currently faced in China. Medical nutrition therapy (MNT) is an individualized nutrition prescription formulated according to the patient's medical condition, lifestyle and personal factors, and is the basis of the comprehensive treatment of diabetes and an essential measure for prevention and control at any stage of the diabetes course. MNT is conducive to blood glucose control, improving insulin secretion, achieving and maintaining an ideal body weight, and preventing malnutrition by adjusting the nutrient structure.

[0003] However, at present, the individualized MNT for diabetic patients is limited to the individualized dietary guidance and education of outpatient and inpatient patients by clinical nutrition physicians, and the vast majority of patients fail to obtain authoritative and professional individualized dietary nutrition guidance. Summary of the Invention

[0004] The purpose of the present invention is to provide an individualized dietary nutrition prescription generation system suitable for diabetic patients, which can dynamically adjust and generate a personalized dietary collocation plan according to the patient's medical condition, lifestyle and personal factors, and is convenient for the long-term implementation of the dietary nutrition prescription.

[0005] To achieve the above purpose, the present invention provides the following technical solution: An individualized dietary nutrition prescription generation system suitable for diabetic patients, the dietary nutrition prescription generation system includes: an information collection module, an information processing module and a plan output module.

[0006] The above information collection module includes: the collection of the patient's basic information (name, gender, age, occupation, physical activity level, body composition analysis results, resting energy metabolism results, food allergy or intolerance history and personal food preferences) and the input / import of disease-related information (complication situation, latest relevant examination results, current blood glucose control plan and blood glucose control effect), and regularly collecting the patient's feedback information on blood glucose control effect and blood glucose control plan for adjustment.

[0007] The above-mentioned information processing module integrates the basic information of the patient and disease-related information to obtain a nutritional diagnosis and formulate nutritional goals and plans (which need to be reviewed by a nutritionist or a qualified manager in the background). The system generates a diabetes dietary nutrition prescription template by referring to the latest diabetes medical nutrition treatment guidelines: including the daily total energy supply (kcal / d), the energy contribution ratios of the three major energy-yielding nutrients (carbohydrates, proteins, and fats), the number of daily meals, and the nutrient ratios for each meal.

[0008] Based on the diabetes dietary nutrition prescription template, the above-mentioned plan output module refers to relevant data such as the Chinese Dietary Reference Intakes for Nutrients, the Chinese Food Composition Tables, the glycemic index of foods, and the glycemic load, combines Chinese home-cooked recipes, the patient's food allergy or intolerance history, and personal food preferences to generate a personalized diabetes dietary nutrition prescription: including the food combinations for each meal (specific to the grams of each ingredient), the analysis of nutrition-related data (energy, carbohydrates, fats, proteins, the contents of various vitamins and minerals), and corresponding dietary guidance and suggestions (which need to be reviewed by a nutritionist or a qualified manager in the background).

[0009] The present invention has the following beneficial effects: The present invention can comprehensively evaluate and generate a personalized dietary nutrition prescription suitable for the current stage of the patient by combining the patient's physical measurement information, complication status, latest relevant examination results, use of blood glucose control drugs, blood glucose control effect, and exercise status with the latest diabetes treatment guidelines, the Chinese Food Composition Tables and other data, realizing the individualized management of the dietary nutrition of diabetic patients, thus solving the problem that the individualized MNT for current diabetic patients is limited to the individualized dietary guidance and education of outpatient and inpatient patients by clinical nutritionists, and the vast majority of patients fail to obtain authoritative and professional individualized dietary nutrition guidance. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic structural diagram of the implementation process of the present invention.

[0011] Figure 2 It is a schematic structural diagram of the information collection module of the present invention.

[0012] Figure 3 It is a schematic structural diagram of the information processing module of the present invention.

[0013] Figure 4 It is a schematic structural diagram of the plan output module of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0014] In order to make the purpose, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below in conjunction with the embodiments and the drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and do not limit the present invention.

[0015] Refer to Figures 1-4 , the present invention provides an individualized dietary nutrition prescription generation system suitable for diabetic patients, which includes an information collection module, an information processing module and a solution output module.

[0016] The information collection module is the basis of the entire system and is responsible for collecting the basic information of the patient and disease-related information. The specific implementation process is as follows:

[0017] Input of patient's basic information: Through the user interface, the patient or medical staff inputs or imports the patient's basic information, including name, gender, age, occupation, physical activity level, body composition analysis results, resting energy metabolism results (instrument measurement or formula calculation), food allergy or intolerance history, and personal food preferences, etc.

[0018] Input of disease-related information: Similarly through the user interface, input or import the patient's disease-related information, such as complication conditions (whether there are diabetic nephropathy, ketoacidosis, etc.), the latest relevant examination results (such as: glycated hemoglobin level, hemoglobin, blood pressure, blood lipids, albumin, prealbumin, liver and kidney function, and uric acid, etc.), the current blood sugar control plan (what kind of drugs are used, dosage and frequency, etc.), and blood sugar control effect (recent blood sugar monitoring data).

[0019] Regular feedback: After the patient executes the personalized nutrition prescription generated by this system, the blood sugar control effect and the latest blood sugar control plan can be fed back regularly, which is convenient for timely adjustment and update of the plan, so as to generate the most suitable personalized dietary nutrition prescription for the patient at the current stage.

[0020] The information processing module is the core of the system and is responsible for generating a diabetic dietary nutrition prescription template according to the input information. The specific implementation process is as follows:

[0021] Formulation of nutritional goals and nutritional plans: Integrate the patient's basic information and disease-related information collected by the information collection module to form a complete patient health record, obtain a nutritional diagnosis, formulate nutritional goals and nutritional plans. The nutritional diagnosis, nutritional goals and nutritional plans in this link need to be reviewed by a nutritional physician or a qualified manager in the background before proceeding to the next step.

[0022] Formulation of the nutritional prescription template: The system incorporates the latest diagnosis and treatment guidelines for diabetic medical nutrition therapy. According to the patient's health record and nutritional goals, calculate the daily total energy supply (kcal / d), the energy supply ratios of the three major energy-producing nutrients (carbohydrates, proteins, fats), and set the number of daily meals and the nutrient ratios for each meal.

[0023] The solution output module is responsible for generating an individualized diabetic dietary nutrition prescription according to the generated diabetic dietary nutrition prescription template and combining other relevant data. The specific implementation process is as follows:

[0024] Data query and matching: Based on relevant data such as the latest version of the Chinese Dietary Reference Intakes for Residents, the Chinese Food Composition Tables, the glycemic index and glycemic load of foods, and the patient's food allergy or intolerance history, query the ingredients and food combinations suitable for the patient.

[0025] Nutritional data analysis: Combining the patient's personal food preferences and referring to Chinese home-cooked recipes, generate a food combination plan for each meal, specifying the grams of each ingredient. At the same time, the system will conduct a detailed nutritional data analysis of the generated food combinations for each meal according to the nutritional components of each ingredient, calculate the total energy, carbohydrates, fats, proteins, various vitamins, and mineral contents for each meal and the whole day, ensuring that they meet the patient's nutritional needs and health goals. Finally, generate diet guidance and suggestions suitable for the patient. Similarly, the guidance and suggestions need to be reviewed by a nutritionist or a qualified administrator in the background before presentation.

[0026] Through the collaborative work of the above three modules, the present invention can generate personalized dietary nutrition prescriptions for diabetic patients, helping patients better manage their diet, control blood sugar levels, and improve their quality of life.

Claims

1. A system for generating individualized dietary nutrition prescriptions suitable for diabetic patients, characterized by: The dietary nutrition prescription generating system comprises an information collecting module, an information processing module and a solution output module.

2. The system for generating individualized dietary nutrition prescriptions suitable for diabetic patients according to claim 1, characterized in that: The information collection module includes the collection of basic patient information (name, gender, age, occupation, physical activity level, body composition analysis results, resting energy metabolism results, food allergy or intolerance history, and personal food preferences) and the input / import of disease-related information (complications, latest relevant examination results, current sugar control plan and blood sugar control effect), and regularly collects patient feedback on sugar control effects and sugar control plans for adjustment.

3. The system for generating individualized dietary nutrition prescriptions suitable for diabetic patients according to claim 1, characterized in that: The information processing module integrates the patient's basic information and disease-related information to arrive at a nutritional diagnosis and formulate nutritional goals and plans (which need to be reviewed by a nutritionist or qualified manager in the background). The system generates a diabetes dietary nutrition prescription template with reference to the latest diabetes medical nutrition treatment-related diagnosis and treatment guidelines: including total daily energy supply (kcal / d), energy supply ratio of the three major energy-producing nutrients (carbohydrates, protein, and fat), number of meals per day, and nutrient ratio of each meal.

4. The system for generating individualized dietary nutrition prescriptions suitable for diabetic patients according to claim 1, characterized in that: The output module of the program refers to the Chinese resident dietary nutrient reference intake, Chinese food composition table data, food glycemic index and glycemic load and other related data on the basis of the diabetic dietary nutrition prescription template, and combines Chinese home-cooked recipes, the patient's food allergy or intolerance history and personal food preferences to generate a personalized diabetic dietary nutrition prescription: including food combinations for each meal (specifically to the grams of each ingredient), nutrition-related data analysis (energy, carbohydrates, fat, protein, various vitamins and mineral content) and corresponding dietary guidance and suggestions (which need to be reviewed by a nutritionist or qualified manager in the background).

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