Health management system and method

Abstract

The invention discloses a health management system and method, and belongs to the technical field of health management. The method is used for solving the technical problems that in an existing scheme, the targeted health management effect of diseases with different attention to diets in schools is poor, and the tracking analysis optimization management effect of health management schemes of diseases with different attention to diets is poor. According to the attention diet type information processing set, supervision state processing analysis and combination in different aspects are carried out on target students of all attention diet types in each school year, and different-dimension processing calculation and integrated analysis are carried out on dining type implementation effects of the attention diet types by utilizing a type dining implementation state supervision sequence. And the subsequent implementation of the existing catering service scheme of the attention diet type is subjected to targeted optimization management, so that the expansion and utilization of the supervision digital data corresponding to the early attention diet type are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and in particular to a health management system and method. Background Art

[0002] A health management system is a comprehensive information technology solution that aims to promote health management, disease prevention and treatment by collecting, analyzing and managing the health information of individuals or groups.

[0003] When the existing health management system is implemented, it cannot implement targeted dining window settings and meal distribution settings for different diseases that require dietary attention in schools. It also cannot track and analyze the recovery of different diseases that require dietary attention, and dynamically optimize the dining window settings and meal distribution settings corresponding to different diseases that require dietary attention based on the analysis results. There is a problem that the targeted health management effect of different diseases that require dietary attention in schools is not good, and the tracking, analysis and optimization management effect of the implementation of health management plans for diseases with different dietary attention types is not good. Summary of the invention

[0004] The purpose of the present invention is to provide a health management system and method for solving the technical problems that the existing schemes have poor targeted health management effects for diseases of different dietary types in schools, and poor tracking, analysis and optimization management effects of the implementation of health management schemes for diseases of different dietary types.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A health management system, comprising: The student health data statistical processing module is used to monitor and compile the health data and health examination data of all new students enrolled in the school every year, and to perform privacy processing and classification combination on the monitored statistical data to obtain the dietary information processing set and upload it to the student dietary health management platform; The student health data diet supervision module is used to analyze and combine the different aspects of the supervision status of all target students in the diet-conscious category in each school year according to the diet-conscious type information processing set, obtain the corresponding type of dining implementation status supervision sequence and upload it to the student diet health management platform; The attention diet type service evaluation management module is used to process and calculate the implementation effect of the dining type of the attention diet type in different dimensions according to the type dining implementation status supervision sequence, integrate and analyze the processing and calculation results of different dimensions, and carry out targeted optimization management of the subsequent implementation of the existing catering service plan of the attention diet type.

[0006] Preferably, the health data and health examination data of all new students enrolled in the school every year are monitored and counted, and students with diseases that require careful diet are obtained, and all students corresponding to the same diseases that require careful diet are sorted and combined to obtain combined data of careful diet types; The combined data of the dietary precaution types corresponding to all diseases of different dietary precaution types are sorted, combined and privacy processed to obtain a dietary precaution type information processing set.

[0007] Preferably, the total number of target students corresponding to different diet types is obtained according to the diet type information processing set, and the dining data of all target students of different diet types in each academic year in the target dining window are counted, and the formula Calculate and obtain the dining implementation values ​​JSi corresponding to the target students of different diet types at the target dining window; where i is the target students of different diet types, i=1, 2, 3, ..., n, n is a positive integer, representing all the target students of the diet type; NJi is the total number of meals of different target students at the target dining window per academic year; NJ0i is the total number of meals of different target students at all dining windows per academic year; JS0 is the dining implementation standard value; Perform data analysis on the calculated dining implementation values, and classify and mark the dining implementation status of the target students of the diet-conscious type according to the analysis results; If the dining implementation value is greater than or equal to 0, the dining implementation status of the target student of the diet-conscious type is marked as the dining implementation normal state, and the dining implementation status mark with a value of 0 is associated with the target student.

[0008] Preferably, if the dining implementation value is less than 0, the recovery status of the target student of the mindful diet type is retroactively verified; If the target student has not recovered, the dining implementation status of the target student is marked as abnormal dining implementation status, and the dining implementation status flag with a value of 1 is associated with the target student; If the target student has recovered, the dining implementation status of the target student is marked as the dining implementation end status, and the dining implementation status flag with a value of 2 is associated with the target student; The dining implementation status identifiers associated with all target students corresponding to the mindful eating type are sorted and combined to obtain a type dining implementation status supervision sequence corresponding to the mindful eating type.

[0009] Preferably, the type dining implementation status supervision sequence is traversed, and the total number of normal dining implementation NZ with a value of 0, the total number of abnormal dining implementation NY with a value of 1, and the total number of dining implementation terminations NJ with a value of 2 are counted respectively, and the total number of normal dining implementation and the total number of abnormal dining implementation are calculated by the formula Calculate and obtain the first dining type implementation validity SX1 corresponding to the diet type; where YL is the abnormal rate of dining implementation corresponding to the diet type, through the formula Calculated; YL′ is the standard value of the abnormal rate of dining implementation corresponding to the corresponding diet type.

[0010] Preferably, the total number of meal completions is calculated by the formula Calculate and obtain the implementation validity SX2 of the second dining type corresponding to the corresponding mindful diet type; where BJ is the standard value for the end of dining implementation corresponding to the mindful diet type; [a] is a rounding function, and the largest integer not exceeding the real number a is called the integer part of a.

[0011] Preferably, the first dining type implementation validity and the second dining type implementation validity obtained by calculation are sorted and combined to obtain a dining type implementation effect supervision sequence corresponding to the corresponding attentional diet type; Conduct data analysis on the effect supervision sequence of dining types, and implement targeted optimization management of existing catering service plans for corresponding dietary types based on the analysis results.

[0012] Preferably, if SX1≤0 and SX2≥0 in the dining type implementation effect supervision sequence, a catering service effective label is generated, and the existing catering service plan is maintained for the corresponding attention diet type; If the dining type achieves effect supervision with SX1>0, SX2≥0, or SX1≤0, SX2<0, a partial valid label for the catering service is generated, and the existing catering service plan for the corresponding attention diet type is partially upgraded and optimized; If SX1>0 and SX2<0 in the effect supervision of the dining type, an invalid label for the catering service will be generated, and the existing catering service plan for the corresponding dietary type will be upgraded and optimized as a whole.

[0013] A health management method comprising: Monitor and compile the health data and health examination data of all new students who enter the school every year, and perform privacy processing and classification on the monitored statistical data to obtain the dietary information processing set and upload it to the student dietary health management platform; According to the dietary attention type information processing set, all target students of dietary attention type in each school year are analyzed and combined in different aspects of supervision status processing, and the corresponding type of dining implementation status supervision sequence is obtained and uploaded to the student dietary health management platform; According to the type of dining implementation status supervision sequence, the implementation effect of the dining type of the corresponding diet type is processed and calculated in different dimensions, and the processing and calculation results of different dimensions are integrated and analyzed, and the subsequent implementation of the existing catering service plan of the corresponding diet type is optimized and managed in a targeted manner.

[0014] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention monitors, compiles and processes the health data and health examination data corresponding to all new students who enter the school every year, and obtains a dietary attention type information processing set corresponding to all students who need to pay attention to their diet. This can provide reliable data support for subsequent dietary supervision analysis of different aspects of all target students in different dietary attention categories.

[0015] The present invention performs different aspects of supervision status processing analysis and combination for all target students of the diet-conscious class in each academic year based on the diet-conscious type information processing set, thereby realizing different aspects of supervision processing for existing catering service plans of different diet-conscious types. Meanwhile, reliable multi-dimensional supervision screening data support can be provided for subsequent supervision analysis and optimization management of service effects in different aspects, thereby improving the diversity and reliability of supervision processing of service effect data of different diet-conscious types.

[0016] The present invention utilizes the type dining implementation status supervision sequence to perform different dimensional processing calculations and integrated analysis on the implementation effects of the dining types of the corresponding diet types, and performs targeted optimization management on the subsequent implementation of the existing catering service plans of the corresponding diet types, thereby realizing the expanded utilization of the supervision digital data corresponding to the previous diet types, and performing multi-dimensional processing analysis and optimization management on the existing catering service plans of the diet types, thereby improving the targeted health management effects of diseases of different diet types in schools, as well as the tracking, analysis and optimization management effects of the implementation of disease health management plans of different diet types. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The present invention will be further described below in conjunction with the accompanying drawings.

[0018] Figure 1 This is a module block diagram of a health management system of the present invention.

[0019] Figure 2 This is a flowchart of the steps of performing data analysis on the calculated dining implementation value in the present invention.

[0020] Figure 3 This is a flowchart of a health management method in the present invention. DETAILED DESCRIPTION

[0021] 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.

[0022] Example 1: Figure 1 As shown, the present invention is a health management system, including a student health data statistical processing module, a student health data diet supervision module, a diet type service evaluation management module and a student diet health management platform; The student health data statistical processing module is used to monitor and count the health data and health examination data of all new students enrolled in the school every year, and perform privacy processing and classification combination on the monitored statistical data to obtain the dietary type information processing set and upload it to the student dietary health management platform; the specific steps include: Monitor and collect the health data and health examination data of all new students who enter the school every year, obtain students with diseases that require careful diet, and sort and combine all students with the same diseases that require careful diet to obtain combined data of careful diet types; It should be noted that the health data corresponding to all new students can be collected through anonymous electronic health questionnaires, and the health examination data can be obtained based on the entrance physical examinations of all new students who have just enrolled; Pay attention to the dietary type, including the type of paying attention to light diet and the type of paying attention to special dietary requirements; Pay attention to the type of bland diet, for example, cardiovascular disease, diabetes, obesity and digestive system diseases require bland food with low salt, low oil and low fat; Be aware of the types of special dietary requirements, such as thyroid disease, which requires foods without iodized salt; However, the existing health management program for school canteens cannot implement targeted food supply services and service supervision optimization for diseases with different dietary needs, resulting in poor health management results for people with special dining food needs; Sorting and combining the combined data of the dietary precautions corresponding to all diseases of different dietary precautions and performing privacy processing to obtain a dietary precautions type information processing set; Among them, privacy processing can specifically digitize the identity information of students with diseases that require attention to diet, such as the names and student numbers of students. Digital processing is an existing conventional technical means, and the specific implementation steps are not repeated here; In an embodiment of the present invention, by monitoring, counting and processing the health data and health examination data corresponding to all new students who enter the school each year, a dietary attention type information processing set corresponding to all students who need to pay attention to their diet is obtained, which can provide reliable data support for subsequent dietary supervision analysis of different aspects of all target students in different dietary attention categories.

[0023] The student health data diet supervision module is used to analyze and combine the different aspects of the supervision status of all target students in the diet-conscious category in each school year according to the diet-conscious type information processing set, obtain the corresponding type of dining implementation status supervision sequence and upload it to the student diet health management platform; the specific steps include: The total number of target students corresponding to different diet types is obtained according to the diet type information processing set, and the dining data of all target students of different diet types at the target dining window in each school year is counted. Specifically, the target dining window provides a number of foods specifically for diseases of different diet types, such as light foods with low salt, low oil, and low fat, and foods without iodized salt; the dining data statistics are obtained according to the card swiping data of the card swiping machine at the target dining window; And through the formula Calculate and obtain the dining implementation values ​​JSi corresponding to the target dining windows of different target students who pay attention to diet types; where i is the target student of different diet types, i=1, 2, 3, ..., n, and n is a positive integer, representing all target students of the target diet types; NJi is the total number of meals of different target students in the target dining window per academic year; NJ0i is the total number of meals of different target students in all dining windows per academic year; JS0 is the dining implementation standard value, which can be determined based on the previous test data of the target dining window, or based on the individual dining habit data corresponding to all target students; The dining implementation value is used to periodically process and calculate all dining data of different target students of the diet-conscious type in the target dining window, so as to digitally represent the dining implementation status corresponding to all target students of the diet-conscious type; In the embodiment of the present invention, by periodically processing and calculating all dining data of different target students of the mindful diet type in the target dining window, it is possible to digitally represent the dining implementation status corresponding to all target students of the mindful diet type, and to provide reliable periodic digital data support for subsequent regulatory analysis of different aspects of existing catering service plans of the mindful diet type.

[0024] Perform data analysis on the calculated dining implementation values, and classify and mark the dining implementation status of the target students of the diet-conscious type according to the analysis results; like Figure 2As shown, if the dining implementation value is greater than or equal to 0, the dining implementation status of the target student of the diet-conscious type is marked as the dining implementation normal state, and the dining implementation status mark with a value of 0 is associated with the target student; If the dining implementation value is less than 0, the recovery status of the target students of the diet-conscious type will be retrospectively verified, which can be done through an anonymous health electronic questionnaire; It should be noted that when the dining status of the target students is abnormal, it is necessary to further trace, verify and classify the type of abnormal dining implementation, which can effectively improve the accuracy and reliability of the supervision and analysis of the service effect of existing catering service plans for different dietary types.

[0025] If the target student has not recovered, the dining implementation status of the target student is marked as abnormal dining implementation status, and the dining implementation status flag with a value of 1 is associated with the target student; If the target student has recovered, the dining implementation status of the target student is marked as the dining implementation end status, and the dining implementation status flag with a value of 2 is associated with the target student; Among them, the target student has recovered, indicating that the corresponding dining data has no value in processing and utilizing the negative effects of the existing catering service plan for the type of diet he or she pays attention to; Sort and combine the dining implementation status identifiers associated with all target students corresponding to the mindful eating type to obtain the type dining implementation status supervision sequence corresponding to the mindful eating type; In the embodiment of the present invention, different aspects of supervision status processing analysis and combination are performed on all target students of the diet-conscious class in each academic year according to the diet-conscious type information processing set, thereby achieving different aspects of supervision processing of services of existing catering service plans of different diet-conscious types. At the same time, reliable multi-dimensional supervision screening data support can be provided for subsequent supervision analysis and optimization management of service effects in different aspects, thereby improving the diversity and reliability of supervision processing of service effect data of different diet-conscious types.

[0026] The attention diet type service evaluation management module is used to process and calculate the implementation effect of the dining type of the attention diet type according to the type dining implementation status supervision sequence, integrate and analyze the processing and calculation results of different dimensions, and carry out targeted optimization management on the subsequent implementation of the existing catering service plan of the attention diet type; the specific steps include: Traverse the type dining implementation status supervision sequence, and count the total number of normal dining implementations NZ with a value of 0, the total number of abnormal dining implementations NY with a value of 1, and the total number of dining implementation terminations NJ with a value of 2. The total number of normal dining implementations and the total number of abnormal dining implementations are calculated using the formula Calculate and obtain the first dining type implementation validity SX1 corresponding to the diet type; where YL is the abnormal rate of dining implementation corresponding to the diet type, through the formula Calculated; YL′ is the standard value of the abnormal rate of meal implementation corresponding to the diet type, which can be determined according to the design requirement data corresponding to the diet type, or according to the previous test data corresponding to the diet type; Among them, the first dining type implementation validity is used to process and calculate different regulatory data after the implementation of the existing catering service plan of the corresponding attention diet type from the aspect of dining implementation abnormality, so as to digitally represent the dining implementation abnormality effect produced by it; And, the total number of meal completions is calculated by the formula Calculate and obtain the implementation validity SX2 of the second dining type corresponding to the mindful diet type; where BJ is the standard value for the end of the dining implementation corresponding to the mindful diet type, which can be determined based on the existing health recovery cycle data corresponding to the mindful diet type; [a] is a rounding function, and the largest integer that does not exceed the real number a is called the integer part of a; Among them, the second dining type implementation validity is used to process and calculate different regulatory data after the implementation of the existing catering service plan of the corresponding attention diet type from the aspect of normal dining implementation, so as to digitally represent the normal dining implementation effect produced by it; The first dining type implementation validity and the second dining type implementation validity obtained by calculation are sorted and combined to obtain a dining type implementation effect supervision sequence corresponding to the corresponding attentional diet type; Different from the existing technical solutions that only process and analyze the implementation effects of health service programs based on a single dimension and a single aspect, and have poor reliability and comprehensiveness of the processing and analysis; in the embodiments of the present invention, by processing and combining data from different aspects and dimensions, reliable multi-dimensional data support can be provided for subsequent data analysis, thereby improving the diversity and reliability of the processing and analysis of the effects of existing health service programs.

[0027] Conduct data analysis on the effect supervision sequence of dining types, and implement targeted optimization management of existing catering service plans for the corresponding dietary types based on the analysis results; If SX1≤0 and SX2≥0 in the effect supervision sequence of the dining type, a valid dining service label is generated, and the existing dining service plan is maintained for the corresponding attention diet type; If the dining type achieves effect supervision with SX1>0, SX2≥0, or SX1≤0, SX2<0, a partial valid label for the catering service is generated, and the existing catering service plan of the corresponding dietary type is partially upgraded and optimized; the partial upgrade and optimization can specifically upgrade and optimize the taste of the existing dining food; If SX1>0 and SX2<0 in the effect supervision of the dining type, an invalid catering service label will be generated, and the existing catering service plan of the corresponding dietary type will be upgraded and optimized as a whole; the overall upgrade and optimization can specifically upgrade and optimize the existing dining food tastes, dining queues, dining environment, dining feedback, etc.

[0028] In the embodiment of the present invention, the type of dining implementation status supervision sequence is used to perform processing calculations and integrated analysis on the implementation effects of the dining types of the corresponding diet types in different dimensions, and the subsequent implementation of the existing catering service plans of the corresponding diet types is targeted for optimization management, thereby realizing the expanded utilization of the supervision digital data corresponding to the previous diet types, and performing multi-dimensional processing, analysis and optimization management on the existing catering service plans of the diet types, thereby improving the targeted health management effects of diseases of different diet types in schools, as well as the tracking, analysis and optimization management effects of the implementation of disease health management plans for different diet types.

[0029] Example 2: Figure 3 As shown, a health management method comprises: Monitor and compile the health data and health examination data of all new students who enter the school every year, and perform privacy processing and classification on the monitored statistical data to obtain the dietary information processing set and upload it to the student dietary health management platform; According to the dietary attention type information processing set, all target students of dietary attention type in each school year are analyzed and combined in different aspects of supervision status processing, and the corresponding type of dining implementation status supervision sequence is obtained and uploaded to the student dietary health management platform; According to the type of dining implementation status supervision sequence, the implementation effect of the dining type of the corresponding diet type is processed and calculated in different dimensions, and the processing and calculation results of different dimensions are integrated and analyzed, and the subsequent implementation of the existing catering service plan of the corresponding diet type is optimized and managed in a targeted manner.

[0030] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0031] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0032] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0033] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0034] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0035] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A health management system, characterized in that: include: The student health data statistical processing module is used to monitor and compile the health data and health examination data of all new students enrolled in the school every year, and to perform privacy processing and classification combination on the monitored statistical data to obtain the dietary information processing set and upload it to the student dietary health management platform; The student health data diet supervision module is used to analyze and combine the different aspects of the supervision status of all target students in the diet-conscious category in each school year according to the diet-conscious type information processing set, obtain the corresponding type of dining implementation status supervision sequence and upload it to the student diet health management platform; The attention diet type service evaluation management module is used to process and calculate the implementation effect of the dining type of the attention diet type in different dimensions according to the type dining implementation status supervision sequence, integrate and analyze the processing and calculation results of different dimensions, and carry out targeted optimization management of the subsequent implementation of the existing catering service plan of the attention diet type.

2. A health management system according to claim 1, characterized in that: Monitor and collect the health data and health examination data of all new students who enter the school every year, obtain students with diseases that require careful diet, and sort and combine all students with the same diseases that require careful diet to obtain combined data of careful diet types; The combined data of the dietary precaution types corresponding to all diseases of different dietary precaution types are sorted, combined and privacy processed to obtain a dietary precaution type information processing set.

3. A health management system according to claim 2, characterized in that: According to the dietary information processing set, the total number of target students corresponding to different dietary categories is obtained, and the dining data of all target students of different dietary types in each academic year in the target dining window are counted, and the formula is used to calculate the total number of target students corresponding to different dietary categories. Calculate and obtain the dining implementation values ​​JSi corresponding to the target students of different diet types at the target dining window; where i is the target students of different diet types, i=1, 2, 3, ..., n, n is a positive integer, representing all the target students of the diet type; NJi is the total number of meals of different target students at the target dining window per academic year; NJ0i is the total number of meals of different target students at all dining windows per academic year; JS0 is the dining implementation standard value; Perform data analysis on the calculated dining implementation values, and classify and mark the dining implementation status of the target students of the diet-conscious type according to the analysis results; If the dining implementation value is greater than or equal to 0, the dining implementation status of the target student of the diet-conscious type is marked as the dining implementation normal state, and the dining implementation status mark with a value of 0 is associated with the target student.

4. A health management system according to claim 3, characterized in that: If the dining implementation value is less than 0, the recovery status of the target students of the diet-conscious type will be retroactively verified; If the target student has not recovered, the dining implementation status of the target student is marked as abnormal dining implementation status, and the dining implementation status flag with a value of 1 is associated with the target student; If the target student has recovered, the dining implementation status of the target student is marked as the dining implementation end status, and the dining implementation status flag with a value of 2 is associated with the target student; The dining implementation status identifiers associated with all target students corresponding to the mindful eating type are sorted and combined to obtain a type dining implementation status supervision sequence corresponding to the mindful eating type.

5. A health management system according to claim 4, characterized in that: Traverse the type dining implementation status supervision sequence, and count the total number of normal dining implementations NZ with a value of 0, the total number of abnormal dining implementations NY with a value of 1, and the total number of dining implementation terminations NJ with a value of 2. The total number of normal dining implementations and the total number of abnormal dining implementations are calculated using the formula Calculate and obtain the first dining type implementation validity SX1 corresponding to the diet type; where YL is the abnormal rate of dining implementation corresponding to the diet type, through the formula Calculated; YL′ is the standard value of the abnormal rate of dining implementation corresponding to the corresponding diet type.

6. A health management system according to claim 5, characterized in that: The total number of meals completed is calculated by the formula Calculate and obtain the implementation validity SX2 of the second dining type corresponding to the corresponding mindful diet type; where BJ is the standard value for the end of dining implementation corresponding to the mindful diet type; [a] is a rounding function, and the largest integer not exceeding the real number a is called the integer part of a.

7. A health management system according to claim 6, characterized in that: The first dining type implementation validity and the second dining type implementation validity obtained by calculation are sorted and combined to obtain a dining type implementation effect supervision sequence corresponding to the corresponding attentional diet type; Conduct data analysis on the effect supervision sequence of dining types, and implement targeted optimization management of existing catering service plans for corresponding dietary types based on the analysis results.

8. A health management system according to claim 7, characterized in that: If the dining type achieves effect supervision with SX1>0, SX2≥0, or SX1≤0, SX2<0, a partial valid label for the catering service is generated, and the existing catering service plan for the corresponding attention diet type is partially upgraded and optimized; If SX1>0 and SX2<0 in the effect supervision of the dining type, an invalid label for the catering service will be generated, and the existing catering service plan for the corresponding dietary type will be upgraded and optimized as a whole.

9. A health management method, using a health management system as claimed in any one of claims 1 to 8, characterized in that: include: Monitor and compile the health data and health examination data of all new students who enter the school every year, and perform privacy processing and classification on the monitored statistical data to obtain the dietary information processing set and upload it to the student dietary health management platform; According to the dietary attention type information processing set, all target students of dietary attention type in each school year are analyzed and combined in different aspects of supervision status processing, and the corresponding type of dining implementation status supervision sequence is obtained and uploaded to the student dietary health management platform; According to the type of dining implementation status supervision sequence, the implementation effect of the dining type of the corresponding diet type is processed and calculated in different dimensions, and the processing and calculation results of different dimensions are integrated and analyzed, and the subsequent implementation of the existing catering service plan of the corresponding diet type is optimized and managed in a targeted manner.

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