CN113628744A - Quantitative evaluation system and method for body health - Google Patents
Quantitative evaluation system and method for body health Download PDFInfo
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Abstract
The invention discloses a body health quantitative evaluation system, which comprises a system management system, an intervention management system, a data statistics management system, a health evaluation system and a report analysis and interpretation system, wherein the system management system comprises a user management module, a permission management module, a team management module, a role management module, a log management module and a message system module; the intervention management system comprises an examination evaluation module, an exercise prescription module, a sleep log module, a health examination module, an early warning management module, a disease management module, a health propaganda and education module and an intervention guidance module; the data statistics management system comprises a chronic disease distribution prediction module, a centralized analysis risk factor module, a large-queue health assessment module, a health information network module of a local authoritative medical institution, a data access module, a data cleaning module, a data analysis module, a calendar year comparison module, a team comparison module, a disease label extraction module and a health risk assessment module.
Description
Technical Field
The invention relates to the field of health management, in particular to a body health quantitative evaluation system and a body health quantitative evaluation method.
Background
As the standard of living of people increases, more and more people begin to pay attention to personal health conditions. The rapid development of Chinese economy, the pace of life of people, the influence of unhealthy life styles such as high working pressure and the influence of environments such as air pollution, and the like, increase the number of patients suffering from chronic diseases and the prevalence rate year by year. The prevention and treatment of chronic diseases bring huge burden to families, society and countries, and meanwhile, various chronic disease hazards and high-incidence have great influence on the health and life of people.
Currently, people reduce their risks or delay their disease conditions through various methods such as physical examination, diet, and exercise.
The physical examination report belongs to medical documents and must meet the written requirement specification of the medical report, and each examination result is only the objective professional description seen in the examination or the determination of the examination value, and the comprehension of ordinary people is limited by the speciality of the examination result.
The problems that the ordinary people easily appear when reading the physical examination report are that more attention is paid to the meanings of medical nouns and professional terms in the physical examination report, the reasons and the results of the high and low blood indexes, whether malignant disease indexes are detected, the risk factors of chronic diseases are not paid attention to, and the bad life habits are not willing to be changed.
The limitations of the physical examination reports are: the examination items only show whether the results are normal or abnormal, and what kind of correlation exists between the abnormal results and the overall health, and the degree of influence on the body state cannot be expressed. People usually cannot accurately know the self health condition when taking a physical examination report, the relationship between abnormal results and the overall health has no clear concept, people mostly understand the physical examination results in good, good and general expressions, and the obvious risk factors of diseases are often ignored. The particularity of the medical report is mainly professionalism, human complexity and interpersonal difference, and most medical institutions cannot interpret the physical examination report in detail and lack an effective health status assessment method.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a body health quantitative evaluation system, which aims to establish a comprehensive evaluation model of the body health state of physical examination population, select an optimal model according to scientificity, reliability and effectiveness, establish the quantitative relation between the personal examination information and the health state of the physical examination population, provide objective and quantitative comprehensive health state evaluation for physical examination individuals, analyze risk factors causing health damage of the physical examination individuals and provide a basic basis for developing personalized health management of the physical examination individuals.
In order to achieve the above object, the present invention adopts the following technical solutions:
the body health quantitative evaluation system is characterized by comprising a system management system, an intervention management system, a data statistics management system, a health evaluation system and a report analysis and interpretation system, wherein the system management system comprises a user management module, a permission management module, a team management module, a role management module, a log management module and a message system module; the intervention management system comprises an examination evaluation module, an exercise prescription module, a sleep log module, a health examination module, an early warning management module, a disease management module, a health propaganda and education module and an intervention guidance module; the data statistics management system comprises a chronic disease distribution prediction module, a centralized analysis risk factor module, a large-queue health assessment module, a health information network module of a local authoritative medical institution, a data access module, a data cleaning module, a data analysis module, a year-round comparison module, a team comparison module, a disease label extraction module, a health risk assessment module, a health scoring module, a health promotion scheme management module and a BI auxiliary decision system module; the health assessment system comprises a physical examination report automatic processing module, a body health quantitative assessment module and a disease risk assessment module; the report analysis and interpretation system comprises an analysis and interpretation module of a body health quantitative evaluation report and an analysis and interpretation module of a disease risk evaluation report, and the system management system, the intervention management system, the data statistics management system, the health evaluation system and the report analysis and interpretation system have preprocessing and data pre-downloading functions.
The quantitative assessment method for the body health is characterized by comprising the following steps:
s1, establishing a health file for the nursing staff, wherein the health file comprises: the medical care personnel personal information, the physical examination information of the past years, the life style, the existing symptoms, the diseases, the data of the medical treatment, the family heredity, the daily monitoring index data and the data of the medical treatment;
s2, importing the health files of the therapists into a data statistics management system, a health assessment system and a report analysis and interpretation system, and establishing a comprehensive health scoring model by combining index parameters;
s3, providing personalized schemes for the nursing staff according to the health files by the health scoring model, wherein the personalized schemes comprise physical examination schemes, disease risk prediction, health promotion schemes, health tracking, health reminding, health return visit, health education, health activities and medical care;
s4, the system management system opens the wechat public number authority for the recuperation staff according to the personalized scheme in S3;
s5, allowing the sanctioner to enter a WeChat public number, and checking and recording self health data;
s6, the operator enters the mobile terminal, and calls and updates the health file of the person in charge of the health care provider through the data statistics management system;
s7, the data statistics management system monitors, scores and compares the health data of the therapist in real time, and informs an operator in time when the health data are abnormal;
and S8, the operator performs health intervention on the recuperation person through the intervention management system, and the life work, diet and exercise of the recuperation person are adjusted.
As a further preferred embodiment of the present invention, in step S2, the index parameter is screened and weight-determined by an analytic hierarchy process, a literature analysis process, a delphire process and an expert interview process, so that the index parameter is standardized; performing empirical test and expert evaluation on the health scoring model, if the health scoring model is wrong, performing model correction, and performing empirical test and expert evaluation; if no error exists, the report is analyzed and interpreted.
In a further preferred embodiment of the present invention, in step S5, the nursing persons are authenticated with real names; in step S5, the operator calls and updates the health file 6 th after passing through the name and identification card of the therapist.
As a further preferred embodiment of the present invention, in step S7, the health assessment system performs data assessment on physical examination data and lifestyle habits of the therapist through automated processing, establishment of assessment model and disease assessment system, and provides corresponding suggestions; the report analysis and interpretation system generates a current body health quantitative evaluation report analysis and interpretation report of the recuperation person and a corresponding disease risk evaluation report analysis and interpretation report.
As a further preferred embodiment of the present invention, in step S7, the data statistics management system forms a health care population body state quantitative evaluation model in combination with the hospital database.
As a further preferred embodiment of the present invention, in step S8, the operator reminds the recuperation person in time through the intervention management system and the system management system, and outputs a potential health hazard and a method for improving health to the recuperation person through a plurality of system messages or private messages, and actively provides health counseling and gives advice.
The invention has the advantages that: the health model is established for the recuperation person, and the daily uploaded health data of the recuperation person are combined to evaluate and analyze the health of the recuperation person in time, so that effective health guidance suggestions are provided for the recuperation person; the obscure physical examination report can be comprehensively and easily read through the report analyzing and reading system, so that the recuperation person can clearly understand the health condition of the person, and the better stable mental state is matched with an operator to carry out health management.
Drawings
FIG. 1 is a schematic diagram of the main steps of an analytic hierarchy process.
Detailed Description
The invention is described in detail below with reference to the figures and the embodiments.
The body health quantitative evaluation system is characterized by comprising a system management system, an intervention management system, a data statistics management system, a health evaluation system and a report analysis and interpretation system, wherein the system management system comprises a user management module, a permission management module, a team management module, a role management module, a log management module and a message system module; the intervention management system comprises an examination evaluation module, an exercise prescription module, a sleep log module, a health examination module, an early warning management module, a disease management module, a health propaganda and education module (healthy life style, tobacco control, reasonable diet, physical activity promotion, health education and health promotion) and an intervention guidance module (online follow-up, face-to-face consultation, WeChat consultation and telephone consultation); the data statistics management system comprises a chronic disease distribution prediction module, a centralized analysis risk factor module, a large-queue health assessment module, a health information network module of a local authoritative medical institution, a data access module, a data cleaning module, a data analysis module, a year-round comparison module, a team comparison module, a disease label extraction module, a health risk assessment module, a health scoring module, a health promotion scheme management module and a BI auxiliary decision system module; the health assessment system comprises a physical examination report automatic processing module, a body health quantitative assessment module and a disease risk assessment module; the report analysis and interpretation system comprises an analysis and interpretation module of a body health quantitative evaluation report and an analysis and interpretation module of a disease risk evaluation report, and the system management system, the intervention management system, the data statistics management system, the health evaluation system and the report analysis and interpretation system have preprocessing and data pre-downloading functions.
The quantitative assessment method for the body health is characterized by comprising the following steps:
s1, establishing a health file for the nursing staff, wherein the health file comprises: the medical care personnel personal information, the physical examination information of the past years, the life style, the existing symptoms, the diseases, the data of the medical treatment, the family heredity, the daily monitoring index data and the data of the medical treatment.
And S2, importing the health files of the therapists into a data statistics management system, a health assessment system and a report analysis and interpretation system, and establishing a comprehensive health scoring model by combining index parameters. S3, the health scoring model provides personalized schemes for the nursing staff according to the health files, wherein the personalized schemes comprise physical examination schemes, disease risk prediction, health promotion schemes, health tracking, health reminding, health return visit, health education, health activities and medical care.
The index parameters are screened and weight-determined by an analytic hierarchy process, a literature analysis process, a Delphi method and an expert interview method, so that the index parameters are standardized.
Performing empirical test and expert evaluation on the health scoring model, if the health scoring model is wrong, performing model correction, and performing empirical test and expert evaluation; if no error exists, the report is analyzed and interpreted.
And S4, the system management system opens the wechat public number authority for the nursing staff according to the personalized scheme in the S3.
And S5, the nursing staff enters the WeChat public number to check and record the health data of the nursing staff.
The sanatories are all real-name certifications; in step S5, the operator calls and updates the health file 6 th after passing through the name and identification card of the therapist.
And S6, the operator enters the mobile terminal, and calls and updates the health file of the person in charge of the therapist through the data statistics management system.
And S7, the data statistics management system monitors and scores the health data of the therapist in real time, compares the health data and informs an operator in time when the health data is abnormal.
The health assessment system carries out data assessment on physical examination data and living habits of the therapist through automatic processing, establishment of an assessment model and a disease assessment system, and gives corresponding suggestions; the report analysis and interpretation system generates a current body health quantitative evaluation report analysis and interpretation report of the recuperation person and a corresponding disease risk evaluation report analysis and interpretation report.
And the data statistics management system is combined with the hospital database to form a rehabilitation crowd body state quantitative evaluation model.
And S8, the operator performs health intervention on the recuperation person through the intervention management system, and the life work, diet and exercise of the recuperation person are adjusted.
The operator can remind the recuperation person in time through the intervention management system and the system management system, and a plurality of system messages or private messages output potential health hazards and a method for improving health to the recuperation person, so that health consultation is actively provided and suggestions are given.
The system used by the invention is a system with very strong openness and interactivity, each service module relates to the interaction between a plurality of users and the system, in order to reduce the risk of the system, an algorithm needs to be frequently called, and in consideration of performance and efficiency, the multi-branch tree based search is adopted. The first step is as follows: reading the sensitive words into a search multi-branch tree; the second step is that: performing word-by-word matching on sentences to be filtered, for example, the sentence "liberates all Chinese", 1, records the starting position start =0, reads the "solution", and matches the "solution" character of the starting node in the search tree; 2. Continuing to read in the 'put' word which is matched with the 'put' word of the next node in the search tree, and putting the current matching length 2 into a temporary variable length when the isEnd of the child node is true, namely the current end bit of the sensitive word; 3. Continuing the step 2 until no matched word can be found in the map; 4. If length >0 replaces the characters from start to start + length with "+", the 1 st step is restarted from start + length; 5. If length =0, step 1 is started from start + 1.
The algorithm has the execution efficiency of matching the plain text of 35 milliseconds in 5000 words, thereby greatly reducing the retrieval time and improving the overall efficiency of operators.
When the invention is designed in an application layer, the system function is properly divided in a modularization mode according to the service management requirement. And a loose coupling interaction mode is realized between the modules in a service calling mode.
Such a design pattern facilitates the partitioning of application functionality, since the data operated by different application functionality modules also have a significantly similar aggregation. Therefore, the design mode actually realizes the function-based segmentation of mass data access, thereby dispersing the high concurrency pressure of data operation, reducing the bottleneck of data access and improving the data access performance.
The invention adopts the B/S mode access, in order to reduce the pressure of the application server, during the program design, the data verification input by the user form is put on the user client as much as possible to realize, after the client is verified, the data is transmitted to the server, and the server is responsible for the core service and the data verification.
The application system of the invention regularly polls the logged-in users and timely cleans the session links of the users without operation for a long time, thereby releasing resources, improving the use efficiency of the system and preventing the system from running fast or running slowly due to excessive memory.
In order to avoid the problem of long downloading time caused by overlarge data, the invention adopts a memory cache mechanism, loads the data which needs to be frequently used into the memory in a key-value pair mode, and directly acquires the data from the memory without accessing the database when the same data is accessed again.
The invention uses tomcat + ngnix + keepalive cluster to complete the load. The capacity of applications deployed in the tomcat cluster can be dynamically increased to meet demand. If a server instance on which a component is running fails, other server instances to which the component is deployed may continue with application processing.
The present invention manages database connections using a Druid connection pool that places a number of database connections created at initialization into the connection pool, the number of database connections being set by the minimum number of database connections. The connection pool will always guarantee at least so many connections, whether or not these database connections are used. The maximum number of database connections for a connection pool defines the maximum number of connections that the connection pool can occupy, and when the number of connections requested from the connection pool by an application exceeds the maximum number of connections, the requests are added to the wait queue.
The present invention processes transactional queries from the master database and SELECT queries from the database. Database replication is used to synchronize changes caused by transactional queries to slave databases in a cluster. Of course, the main server may also provide query services. The greatest effect of using read-write separation is not ambient server pressure.
The redundancy is increased by separating the database from reading and writing, the processing capacity of a machine is increased, the contention of an X lock and an S lock is relieved to a great extent, a myisam engine can be configured from the database, the query performance is improved, and the system overhead is saved.
The invention uses the data sub-table design, and based on the idea of mass data storage and access optimization of 'big and small', the classification method is adopted to carry out the logic segmentation of the data, thereby realizing the conversion of the big data set into the small data sets. Data partitioning is mainly embodied as a table partitioning design of data at a database level.
The basic principle of the table division is to ensure that the vast majority of accesses are based on the decomposed small data set units. Such as aggregating the statistics reporting functionality into multiple tables to share pressure, etc.
The invention uses data partition design, and divides data into active data, historical data and archived data according to different data liveness. Active data mainly refers to data which is frequently queried and retrieved, and mainly refers to current data. Historical data refers to that the activity of the data is weakened relative to active data, and the data is basically not changed, and is mainly used for comprehensive query. The archival data refers to data that is silent, is mainly used for statistical analysis and data mining, is not used for simple query retrieval, and is often archived to a data warehouse system or an archival database.
Data partitioning designs are also commonly embodied as spreadsheet designs at the database level. For example, the caregiver information data table is divided into a current data table and a historical data table. The latest information data of the nursing staff is stored in the current data table, and the current data is stored in the historical data table through a certain rule by business operation, so that the number of data records in the current data table is effectively reduced, and the read-write operation efficiency is improved.
The invention adopts the database table partition design, the idea of the database table partition technology is still large and small, the data is dispersed into different partitions according to a certain strategy, the data set is reduced, but the method is transparent to database users.
The table partitioning design must select a scientific and reasonable partitioning mode on the basis of fully understanding the data storage characteristics and data access characteristics of the system, for example, the common partitioning design is performed according to the time attributes, the organization attributes or other attributes of the data. In the database, the basic information class data can be designed according to the organization in a partitioning mode.
The use of the partition table can improve the big data processing capacity:
enhanced usability: if a partition of the table fails, the data of the table in other partitions is still available;
the maintenance is convenient: if a certain partition of the table fails, the data needs to be repaired, and only the partition needs to be repaired;
equalizing I/O: different partitions can be mapped to disks to balance I/O and improve the performance of the whole system;
and (3) improving the query performance: the query of the partition object can only search the concerned partition, thereby improving the retrieval speed.
The index design of the invention follows the following principle:
1. the cost of building the index is fully understood.
It takes time and effort to create and maintain the index. When the record in the table with index is added, deleted and modified, the database readjusts the index. Although this work database is done automatically, it consumes resources of the server. As more data is in the table, the more resources this consumes. In addition, indexes are objects actually existing in the database, and therefore, each index occupies a certain physical space. If the indexes are more, not only a large amount of physical space is occupied, but also the operation performance of the whole database is influenced. Therefore, the database index should be designed by fully considering the advantages and costs of the index and repeatedly measuring to find a critical point of return and investment.
2. For columns that are rarely involved in a query or columns that have more duplicate values, no index is built.
At the time of querying, if we do not query according to a field, it is also wasted to build an index on the field. Even if an index is built on this field, the speed of the query cannot be increased. In contrast, system maintenance time is increased and system space is occupied. For fields with more repeated values, adding indexes can not obviously increase the query speed and reduce the user response time. Conversely, because space is required, the overall performance of the database is reduced.
3. For a column of data that needs to be queried quickly or frequently within a specified range, it should be indexed.
Because the indexes are sorted, the designated range is continuous when the indexes are stored, and the query can utilize the sorting of the indexes, thereby quickening the query time and reducing the waiting time of users.
4. The primary or foreign key field in the table must be indexed.
Columns with primary keys are defined for which an index must be built. Since the primary key can be accelerated to locate a certain row in the table. In combination with the indexing, the speed of the query can be doubled. A column with a foreign key is defined, and preferably also this field is indexed. Since the primary role of the foreign key is in table-to-table join lookup. If an index is built on the foreign key, the connection query between tables can be accelerated. And the more records, the more obvious the effect.
5. For some special data types, no index is to be built.
Some special fields in the table, such as large text, large object fields, etc., are not indexed as much as possible. Because these fields have some common characteristics, such as indeterminate length, either very long, a few characters, or just an empty string. If indexes are established on the fields of the type, the data access efficiency cannot be improved, and the burden of a system is increased.
6. An index is built according to a combination of production query conditions.
When a user queries information, a certain fixed condition combination is often used as a query limit. For the data columns frequently used in the Where clause, indexes are built in the process of gathering the Where clause, and for the data columns needing to be accelerated or frequently retrieved, the data columns frequently participating in the query can be queried according to the ordering of the indexes, so that the query time is accelerated.
In the invention, the index parameters are screened and weight is determined by an analytic hierarchy process, a literature analysis process, a Delphi method and an expert interview method, so that the index parameters are standardized.
The analytic hierarchy process is a method for organizing complex problems by dividing each factor into related ordered levels, and is an effective method combining qualitative analysis and quantitative analysis. The invention selects an analytic hierarchy process as a determination method of parameter weight. The method mainly comprises the steps of firstly layering the complex problem, then determining a judgment matrix P of each layer, then calculating a characteristic vector, carrying out consistency check, and finally obtaining the weight of each index as shown in figure 1.
The analytic hierarchy process includes the following main steps: and layering and constructing a judgment matrix. Calculating feature vectors, consistency detection and calculating weights.
Preferred methods for analysis of literature: the method is characterized in that the literature of a health evaluation parameter system is comprehensively consulted, and the advantages and the disadvantages of each parameter are analyzed and selected.
Delphi method (Delphi method): namely, expert consulting method, by means of relevant experts, by means of their theoretical knowledge and rich experience in the subject field, each evaluation parameter and its weight are evaluated in a scoring manner, and then by means of statistical means, parameter selection and weight are determined. The consulting questionnaire is designed according to the general principles of integrity, simplicity, guidance, comparability, uniformity, operability and practicality and by combining the aim and the practical situation of the invention. All data entry and processing was performed using SPSS13.0 statistical software, metrology data expressed as x + -s, count data calculation rates or formation ratios. And (4) carrying out statistical analysis on the positive degree, the authority degree, the opinion concentration degree, the opinion coordination degree and the like of the expert, and then carrying out parameter weight calculation again.
Expert interview: through expert interview, the assessment requirements are known, and assessment results are defined in an assisting mode.
Establishment of comprehensive health assessment index system
According to the principle and the method, health assessment inclusion parameters are determined, assessment system parameters and weights thereof are determined, and a comprehensive assessment index system framework is established. The plan includes general information (including personal data, height, weight, etc.), risk factors (including smoking and drinking, diet hobbies, exercise status, family disease history, etc.), objective data (physical examination, laboratory and equipment examination results).
A comprehensive health evaluation index three-dimensional system for health examination population is shown in the following table.
Establishment of physical examination crowd comprehensive health scoring model
Standardizing the included parameters of the health assessment index system, and establishing a scoring model by using the basic principle of a comprehensive scoring method, wherein the specific method comprises the following steps:
the parameter standardization method comprises the following steps: because each parameter of each dimension in the evaluation index system is different in dimension, and the optimal targets pursued by the evaluation index system are different, some parameters are high-quality parameters, and some parameters are low-quality parameters. If the original scores of the parameters are directly put together, not only is the comparison unfavorable, but also the comprehensive calculation cannot be carried out, so each parameter must be standardized, i.e., non-dimensionalized.
The invention converts all parameters into high-quality parameters in percentage. For continuous variables such as laboratory inspection parameters, a fuzzy relation matrix method is used, relevant clinical guidelines of the national sanitation industry are referred, and corresponding membership functions are respectively constructed by combining different characteristics of various parameters, so as to establish fuzzy grade evaluation of various indexes.
For grade variables, the damage grade 'equal difference value assignment method' is subjected to score conversion, such as that normal, mild damage, moderate damage and severe damage are classified into 4: 3: 2: the ratio of 1 is 100 min, 75 min, 50 min, 25 min, etc., as it is.
Establishing an organism health state evaluation model: and calculating the normalized values and the weights of the parameters by using the basic principle of a comprehensive scoring method and adopting a weighted cumulative method to obtain the comprehensive health score of the physical examination crowd. The score is a percentage, with closer to 100, better health.
In order to prevent system errors and prevent bugs existing in software, the garbage resources of the whole software development system are increased infinitely, and finally system paralysis may be caused. The present invention is therefore constrained to the attention data. In order to perform data uniform collection and standardize the processing of managers in the aspect of data uniform format, the system performs uniform constraint specification aiming at the potential safety hazard.
The invention has the advantages that: the health model is established for the recuperation person, and the daily uploaded health data of the recuperation person are combined to evaluate and analyze the health of the recuperation person in time, so that effective health guidance suggestions are provided for the recuperation person; the obscure physical examination report can be comprehensively and easily read through the report analyzing and reading system, so that the recuperation person can clearly understand the health condition of the person, and the better stable mental state is matched with an operator to carry out health management.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (7)
1. The body health quantitative evaluation system is characterized by comprising a system management system, an intervention management system, a data statistics management system, a health evaluation system and a report analysis and interpretation system, wherein the system management system comprises a user management module, a permission management module, a team management module, a role management module, a log management module and a message system module; the intervention management system comprises an examination evaluation module, an exercise prescription module, a sleep log module, a health examination module, an early warning management module, a disease management module, a health propaganda and education module and an intervention guidance module; the data statistics management system comprises a chronic disease distribution prediction module, a centralized analysis risk factor module, a large-queue health assessment module, a health information network module of a local authoritative medical institution, a data access module, a data cleaning module, a data analysis module, a year-round comparison module, a team comparison module, a disease label extraction module, a health risk assessment module, a health scoring module, a health promotion scheme management module and a BI auxiliary decision system module; the health assessment system comprises a physical examination report automatic processing module, a body health quantitative assessment module and a disease risk assessment module; the report analysis and interpretation system comprises an analysis and interpretation module of a body health quantitative evaluation report and an analysis and interpretation module of a disease risk evaluation report, and the system management system, the intervention management system, the data statistics management system, the health evaluation system and the report analysis and interpretation system have preprocessing and data pre-downloading functions.
2. The quantitative assessment method for the body health is characterized by comprising the following steps:
s1, establishing a health file for the nursing staff, wherein the health file comprises: the medical care personnel personal information, the physical examination information of the past years, the life style, the existing symptoms, the diseases, the data of the medical treatment, the family heredity, the daily monitoring index data and the data of the medical treatment;
s2, importing the health files of the therapists into a data statistics management system, a health assessment system and a report analysis and interpretation system, and establishing a comprehensive health scoring model by combining index parameters;
s3, providing personalized schemes for the nursing staff according to the health files by the health scoring model, wherein the personalized schemes comprise physical examination schemes, disease risk prediction, health promotion schemes, health tracking, health reminding, health return visit, health education, health activities and medical care;
s4, the system management system opens the wechat public number authority for the recuperation staff according to the personalized scheme in S3;
s5, allowing the sanctioner to enter a WeChat public number, and checking and recording self health data;
s6, the operator enters the mobile terminal, and calls and updates the health file of the person in charge of the health care provider through the data statistics management system;
s7, the data statistics management system monitors, scores and compares the health data of the therapist in real time, and informs an operator in time when the health data are abnormal;
and S8, the operator performs health intervention on the recuperation person through the intervention management system, and the life work, diet and exercise of the recuperation person are adjusted.
3. The quantitative assessment method for physical health as claimed in claim 2, wherein in step S2, the index parameter is standardized by screening and weight determination using analytic hierarchy process, literature analysis, delphire process and expert interview process; performing empirical test and expert evaluation on the health scoring model, if the health scoring model is wrong, performing model correction, and performing empirical test and expert evaluation; if no error exists, the report is analyzed and interpreted.
4. The quantitative assessment method for physical health as claimed in claim 2, wherein in step S5, the nursing persons are all real-name certifications; in step S5, the operator calls and updates the health file 6 th after passing through the name and identification card of the therapist.
5. The quantitative body health assessment method according to claim 2, wherein in step S7, the health assessment system performs data assessment on physical examination data and lifestyle habits of the therapist through automated processing, establishment of assessment model and disease assessment system, and gives corresponding suggestions; the report analysis and interpretation system generates a current body health quantitative evaluation report analysis and interpretation report of the recuperation person and a corresponding disease risk evaluation report analysis and interpretation report.
6. The method for quantitatively evaluating the body health of claim 2, wherein in step S7, the data statistics management system forms a model for quantitatively evaluating the body state of the convalescent population by combining with a hospital database.
7. The quantitative body health assessment method according to claim 2, wherein in step S8, the operator reminds the recuperative person in time through the intervention management system and the system management system, and outputs the potential health hazard and the method of how to improve health to the recuperative person by a plurality of system messages or private messages, and actively provides health counseling and advice.
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