CN114429803A - Health risk early warning method based on risk factors - Google Patents
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention discloses a health risk early warning method based on risk factors, which relates to the technical field of health management and comprises the following steps: s1, collecting or monitoring user information by using a collection module, and S2, integrating and calculating various information by using a data filtering module and qualifying disease risks. According to the invention, the data filtering module is arranged to integrate and calculate various information and determine the disease risk, the pathological characteristics and risk factors of the data are refined through documents and pathological researches published at home and abroad, and the monitoring and early warning efficiency is improved through the analysis of the risk factors and the accurate putting of risk early warning to suitable users, so that the problems that most of the existing health risk early warning methods are low in efficiency and low in putting risk early warning accuracy, and the health risk early warning is prevented from causing normal death, diseases and disability to occur in a certain degree are solved.
Description
Technical Field
The invention relates to a health management method, in particular to a health risk early warning method based on risk factors.
Background
The health risk early warning is an efficient and systematic life cycle plan, through effective monitoring and collection, risk factors influencing health are effectively eliminated or reduced, diseases are prevented, health is promoted, life quality is improved, and the core of the risk early warning is that health risks existing in daily life of people are identified, and professional authoritative warnings are given according to historical physical conditions so as to avoid, reduce or eliminate the risk factors influencing health.
With the progress of society and the development of economy, the demand of people in China on body health is increasingly improved, the demand lies in not only the disease treatment, but also more and more people pay attention to health early warning and health prevention, and then a health risk early warning method appears, but most of the health risk early warning methods are low in efficiency, the accuracy of putting risk early warning is low, and the functionality of health risk early warning prevention on normal death, diseases and disabilities is further reduced to a certain extent.
Disclosure of Invention
The invention aims to provide a health risk early warning method based on risk factors, and aims to solve the problems that most of the existing health risk early warning methods in the background art are low in efficiency and low in accuracy of risk early warning, and further normal death, diseases and disability occurrence functionality of health risk early warning prevention is reduced to a certain extent.
In order to achieve the purpose, the invention provides the following technical scheme: a health risk early warning method based on risk factors comprises the following steps:
and S1, collecting or monitoring user information by using the collection module.
And S2, integrating and calculating various information by using a data filtering module and determining the risk of the disease.
And S3, analyzing the user indexes by using a risk analysis module, and carrying out risk grouping by using a risk grouping module.
And S4, generating a risk early warning plan by using the risk early warning plan module.
And S5, finally, pushing the risk early warning to a pushing client by utilizing a pushing module according to the calculated time.
As a preferred technical solution of the present invention, the user information includes three-party device collection and questionnaire evaluation, the questionnaire evaluation includes user information, dietary habits and health information, the user information includes but is not limited to gender and age, the health conditions include but is not limited to past history, present medical history, medication history and food allergy history, the dietary habits include but is not limited to dietary preferences and local characteristic diet, the three-party device collection includes but is not limited to blood pressure, blood sugar, blood fat, blood uric acid, body characteristics and electrocardiogram, the static indicator input end of the questionnaire evaluation and three-party device collection is electrically connected to a collection module input end, the collection module includes a data prescreening module and a data merging module, the data prescreening module and the data merging module output end are electrically connected to an effective static indicator, a medication history and a food allergy history, And the input end of the effective dynamic index and user associated data module.
As a preferred technical solution of the present invention, the output ends of the effective static indicators, the effective dynamic indicators and the user-associated data modules are electrically connected to a data filtering module, the data filtering module includes an input end of a risk factor refining module, an input end of an analysis risk factor sub-module, an input end of a disease risk module and an input end of a judgment rating module, the output ends of the risk factor refining module, the analysis risk factor sub-module, the disease risk module and the judgment rating module are electrically connected to a risk factor sub-module and a risk level module, and the input ends of the risk factor refining module, the analysis risk factor sub-module, the disease risk module and the judgment rating module are electrically connected to an output end of a local risk factor library.
As a preferred technical scheme of the invention, the output ends of the risk factor module and the risk grade module are electrically connected with the input ends of an identification comprehensive risk module and an identification risk disease module which are included by the risk analysis module, the output ends of the identification comprehensive risk module and the identification risk disease module are electrically connected with the input ends of various risk disease modules and various comprehensive risk modules, and the input ends of the identification comprehensive risk module and the identification risk disease module are simultaneously and electrically connected with the output ends of the authoritative literature medical standard modules.
As a preferred technical solution of the present invention, the output ends of the multiple risk disease modules and the multiple comprehensive risk modules are electrically connected to the input ends of a disease risk sorting module, a disease risk classification module and a disease typing module which are included in the risk grouping module, the output ends of the disease risk sorting module, the disease risk classification module and the disease typing module are electrically connected to the input end of a user risk grouping module, and the input ends of the disease risk sorting module, the disease risk classification module and the disease typing module are simultaneously and electrically connected to the output end of an authoritative literature medical standard clinical experience module.
As a preferred technical scheme of the invention, the output end of the user risk grouping module is electrically connected with the input end of a user guidance content module which is included by a risk early warning plan module, the input end of the user guidance content module is electrically connected with the output ends of a grouping filtering module, a guidance sorting module and a guidance combination module, the input ends of the group filtering module, the guidance sorting module and the guidance combination module are electrically connected with the output ends of a doctor seeing guide module, a diet guide module, a movement guide module and a monitoring guide module, the output end of the user guidance content is electrically connected with the input ends of a set early warning frequency and a set early warning period module, the input ends of the set early warning frequency and the set early warning period module are simultaneously electrically connected with the output ends of a user daily characteristic module and a user health degree module, and the output ends of the set early warning frequency and the set early warning period module are electrically connected with the output ends of a user risk early warning plan early And a module input end.
As a preferred technical scheme, the output end of the user risk early warning plan module is electrically connected with an input end of a put-in course module included by a user push module, the input end of the put-in course module is simultaneously electrically connected with an output end of a user channel put-in path module, the output end of the put-in course module is electrically connected with an input end of a high-availability module with consistency, the output end of the high-availability module with consistency is electrically connected with an APP, a mail and other put-in modules, the high-availability module with consistency is electrically connected with an input end of a circulating put-in module, and the output end of the circulating put-in module is electrically connected with the APP, the mail and other put-in modules.
As a preferred technical scheme of the invention, the applicable population of the step is the population who hopes to increase health warning, health prevention, improve health and reduce disease incidence rate through health early warning, and the applicable population of the step is the population less than 18 or more than 75.
Compared with the prior art, the invention has the beneficial effects that:
the invention integrates and calculates various information and identifies disease risks by arranging a data filtering module, refines the pathological characteristics and risk factors of the data by documents and pathological researches published at home and abroad, further improves the monitoring and early warning efficiency by analyzing the risk factors and accurately putting the risk early warning to suitable users, greatly improves the risk early warning effect, achieves the purposes of improving the health of people, improving and maintaining the health, preventing abnormal death, diseases and disabilities, and increases the accuracy of guidance and early warning by combining the analysis of different crowd health for many years by referring to various body risk and early warning authoritative data at home and abroad in the process, and guides clients to carry out early warning analysis and report push for organizations such as health management industry, platforms, hospitals and the like, and simultaneously carries out health guidance and health prevention, therefore, the problems that most of the existing health risk early warning methods are low in efficiency, the accuracy of putting risk early warning is low, and the health risk early warning and prevention are normal in death, diseases and disability occurrence functionality are reduced to a certain extent are solved.
Drawings
FIG. 1 is a schematic diagram of the overall flow structure of the present invention;
FIG. 2 is a schematic view of the flow structure of the acquisition module of the present invention;
FIG. 3 is a schematic diagram of a flow structure of a data filtering module according to the present invention;
FIG. 4 is a schematic view of a risk analysis module according to the present invention;
FIG. 5 is a schematic view of a risk grouping module flow structure according to the present invention;
FIG. 6 is a schematic view of a risk early warning planning module flow structure according to the present invention;
fig. 7 is a schematic diagram of a flow structure of a push module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 7, the present invention provides a health risk early warning method based on risk factors, which comprises the following steps:
the method comprises the following steps:
s1, collecting or monitoring user information by using a collection module;
s2, integrating and calculating various information by using a data filtering module and determining the risk of diseases;
s3, analyzing the user indexes by using a risk analysis module, and carrying out risk grouping by using a risk grouping module;
s4, generating a risk early warning plan by using a risk early warning plan module;
and S5, finally, pushing the risk early warning to a pushing client by utilizing a pushing module according to the calculated time.
The user information includes three-party device collection and questionnaire assessment including user information, dietary habits, and health information, including but not limited to gender and age, the health conditions including but not limited to past history, present history, medication history and food allergy history, the dietary habits include, but are not limited to, dietary preferences and local specialty diets, the three-party device acquisition includes, but is not limited to, blood pressure, blood glucose, blood lipids, blood uric acid, body characteristics, and electrocardiograms, the static index input end of the questionnaire evaluation and three-party equipment acquisition is electrically connected with the input end of the acquisition module, the acquisition module comprises a data primary screening module and a data merging module, and the output ends of the data primary screening module and the data merging module are electrically connected with the input ends of the effective static indexes, the effective dynamic indexes and the user associated data modules.
Effective static index, effective dynamic index and user associated data module output electricity are connected with data filtering module, data filtering module is including refining risk factor module, analyzing out and dividing risk factor module, disease risk module and judging rating module input, it is connected with risk factor module and risk grade module to refine risk factor module, analyzing out and dividing risk factor module, disease risk module and judge rating module output electricity, it is connected with local risk factor storehouse output to refine risk factor module, analyze out and divide risk factor module, disease risk module and judge that rating module input electricity simultaneously.
The output ends of the risk factor module and the risk grade module are electrically connected with an input end of an identification comprehensive risk module and an input end of an identification risk disease module which are included by a risk analysis module, the output ends of the identification comprehensive risk module and the identification risk disease module are electrically connected with an input end of a plurality of risk disease modules and an input end of a plurality of comprehensive risk module, the input ends of the identification comprehensive risk module and the identification risk disease module are simultaneously and electrically connected with an output end of an authoritative literature medical standard module, and reference standards of the authoritative literature medical standard module include but are not limited to Chinese expert consensus on coronary disease patient exercise treatment, cardiovascular disease exercise rehabilitation research progress, diabetes patient blood sugar fluctuation management expert consensus, Chinese 2 diabetes patient postprandial hyperglycemia management expert consensus, Chinese 2-type diabetes prevention guideline (2020 edition), and the like, The Chinese diabetes mellitus patients are identified by multiple subjects expert in heart rate management (2021 edition), the national basic-level hypertension prevention and treatment management guideline, the 2020 physical exercise guideline for patients with ESC sports cardiology and cardiovascular diseases, the Chinese adult dyslipidemia prevention and treatment guideline, the Chinese diabetes exercise treatment guideline and the Chinese diabetes diet guideline.
The output ends of the multiple risk disease modules and the multiple comprehensive risk modules are electrically connected with a disease risk sorting module, a disease risk classification module and a disease shaping module which are included by a risk grouping module, the output ends of the disease risk sorting module, the disease risk classification module and the disease shaping module are electrically connected with the input end of a user risk grouping module, the input ends of the disease risk sorting module, the disease risk classification module and the disease shaping module are simultaneously and electrically connected with the output end of an authoritative literature medical standard clinical experience module, and the reference standards of the authoritative literature medical standard clinical experience module include but are not limited to Chinese type 2 diabetes prevention and treatment guideline (2020 edition), Chinese hypertension patient heart rate management multidisciplinary expert consensus (2021 year edition) and Chinese hypertension prevention guideline.
The output end of the user risk grouping module is electrically connected with the input end of a user guidance content module which comprises a risk early warning plan module, the purpose is to recombine and classify hundreds of common diseases of a user to form hundreds of thousands of education groups and accurately locate the symptoms of the user so as to achieve the purpose of redefinition, the input end of the user guidance content module is electrically connected with a grouping filtering module, a guidance sorting module and a guidance combining module output end, the input ends of the grouping filtering module, the guidance sorting module and the guidance combining module are electrically connected with a diagnosis guidance module, a diet guidance module, a movement guidance module and a monitoring guidance module output end, the output end of the user guidance content is electrically connected with an input end for setting early warning frequency and an input end for setting early warning period module, and the input ends of the early warning period module are electrically connected with the daily characteristics of the user simultaneously The risk early warning plan generated by the risk early warning plan module is formed by grouping corresponding guide information including diet, treatment, movement and monitoring guide rearrangement and combination after the risk grouping module groups, and then forming a risk early warning plan of thousands of people according to the user information, wherein the guide content of the user guide content module includes but is not limited to Chinese expert consensus on hypertension combined atherosclerosis prevention and treatment, national basic level hypertension prevention and treatment management guideline, Chinese hypertension health management norm, Chinese senile hypertension management guideline, Chinese doctor association about national hypertension diagnosis standard and hypertension target scientific statement, The diet comprises the following components in parts by weight, namely, Chinese multidisciplinary expert consensus on heart rate management of hypertensive patients, Chinese guideline for preventing and treating hypertension (Chinese guideline for preventing and treating type 2 diabetes), Chinese expert consensus on blood glucose management of inpatients, diet: dietary guidelines for preventing cardiovascular diseases of the European society of cardiology, dietary guidelines for diabetes of China (Chinese dietary guidelines for residents), clinical nutrition, and dietary management methods of DASH of America, exercise: ACSM exercise test and exercise prescription guideline, common disease exercise prescription, chronic disease exercise rehabilitation, 2008 American physical activity guideline, and Chinese adult physical activity guideline.
The user risk early warning plan module output end is electrically connected with a put-in course module input end which a user push module comprises, the put-in course module input end is electrically connected with a user channel put-in path module output end simultaneously, the put-in course module output end is electrically connected with a consistency high-availability module input end, the consistency high-availability module output end is electrically connected with an APP, a mail and other put-in modules, the consistency high-availability module is electrically connected with a circulation put-in module input end, and the circulation put-in module output end is electrically connected with the APP, the mail and other put-in modules, the aim is to achieve high availability, consistency and automatic record replay functionality of user put-in failure, a database and a non-relational database are stored in the process, and QLE rule engines are adopted to dynamically configure and write medical logic on the collected data and risk analysis algorithm rules, the health groups mostly adopt machine learning to match and connect a plurality of courses and group combinations, suitable people are people who hope to increase health warning, health prevention, improve health and reduce disease incidence through health early warning, and the unsuitable people in the steps are people less than 18 or more than 75.
The specific implementation mode of the invention is as follows:
firstly, collecting or monitoring user information through a collection module, then integrating and calculating various information and qualifying disease risks by using a data filtering module, namely refining the collected data into data which can be used by a system through the data filtering module, collecting a risk factor corresponding to a user and analyzing a risk factor corresponding to the user through a local risk factor library, judging and grading the disease risks related to the factors, then identifying the comprehensive risks of the user by using a risk factor module and an authoritative literature medical standard module which are included by a risk analysis module, recording the disease symptoms which are possibly caused by the risks, then deducing that the user possibly has zero to various potential disease symptoms through a disease risk sorting module, a disease risk classification module and a disease setting module which are included by a risk grouping module, and except for zero to one type of users with various disease risks, then sorting and classifying the disease risks through an authoritative literature medical standard clinical experience module, grouping users at the same time, configuring different early warning guidance contents for the users according to different individual disease risks and risk factors participating in calculation through a risk early warning planning module, performing grouping filtering, sorting and combining through a doctor seeing guidance module, a diet guidance module, a movement guidance module and a monitoring guidance module, customizing a risk early warning plan for the users by combining user information, setting early warning frequency according to the characteristics and the degree of the user risks and setting an early warning period module to set the early warning frequency and period of the users so as to achieve the purpose of increasing cycle cognition, finally matching the time of the users according to the plan given by the risk early warning planning module, and simultaneously putting the planned courses into the hands of the users by utilizing a course putting module and a user channel putting path module, and the planned courses are released through the modes of app pushing, short messages, mails and the like by the consistency high-availability module and the circular releasing module, and the high availability, consistency and automatic record re-pushing functionality of user releasing failure are ensured in the process.
In the present invention, unless otherwise explicitly specified or limited, for example, it may be fixedly attached, detachably attached, or integrated; can be mechanically or electrically connected; the terms may be directly connected or indirectly connected through an intermediate, and may be communication between two elements or interaction relationship between two elements, unless otherwise specifically limited, and the specific meaning of the terms in the present invention will be understood by those skilled in the art according to specific situations.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A health risk early warning method based on risk factors is characterized by comprising the following steps: the method comprises the following steps:
s1, collecting or monitoring user information by using a collection module;
s2, integrating and calculating various information by using a data filtering module and determining the risk of diseases;
s3, analyzing the user indexes by using a risk analysis module, and carrying out risk grouping by using a risk grouping module;
s4, generating a risk early warning plan by using a risk early warning plan module;
and S5, finally, pushing the risk early warning to a pushing client by utilizing a pushing module according to the calculated time.
2. The health risk early warning method based on the risk factors as claimed in claim 1, wherein: the user information includes three-party device collection and questionnaire assessment including user information, dietary habits, and health information, including but not limited to gender and age, the health conditions including but not limited to past history, present history, medication history and food allergy history, the dietary habits include, but are not limited to, dietary preferences and local specialty diets, the three-party device acquisition includes, but is not limited to, blood pressure, blood glucose, blood lipids, blood uric acid, and electrocardiogram, the static index input end of the questionnaire evaluation and three-party equipment acquisition is electrically connected with the input end of the acquisition module, the acquisition module comprises a data primary screening module and a data merging module, and the output ends of the data primary screening module and the data merging module are electrically connected with the input ends of the effective static indexes, the effective dynamic indexes and the user associated data modules.
3. The health risk early warning method based on the risk factors as claimed in claim 2, wherein: effective static index, effective dynamic index and user associated data module output electricity are connected with data filtering module, data filtering module is including refining risk factor module, analyzing out and dividing risk factor module, disease risk module and judging rating module input, it is connected with risk factor module and risk grade module to refine risk factor module, analyzing out and dividing risk factor module, disease risk module and judge rating module output electricity, it is connected with local risk factor storehouse output to refine risk factor module, analyze out and divide risk factor module, disease risk module and judge that rating module input electricity simultaneously.
4. The health risk early warning method based on the risk factors as claimed in claim 3, wherein: risk factor module and risk grade module output electricity are connected with the discernment that risk analysis module includes and synthesize risk module and discernment risk disease module input, the discernment is synthesized risk module and is discerned risk disease module output electricity and be connected with multiple risk disease module and multiple risk disease module input of synthesizing, the discernment is synthesized risk module and is discerned risk disease module input and be connected with authoritative literature medical standard module output electricity simultaneously.
5. The health risk early warning method based on the risk factors as claimed in claim 4, wherein: the output ends of the multiple risk disease modules and the multiple comprehensive risk modules are electrically connected with a disease risk sorting module, a disease risk classification module and a disease typing module input end which are included by the risk grouping module, the output ends of the disease risk sorting module, the disease risk classification module and the disease typing module are electrically connected with a user risk grouping module input end, and the input ends of the disease risk sorting module, the disease risk classification module and the disease typing module are simultaneously and electrically connected with an output end of an authoritative document medical standard clinical experience module.
6. The health risk early warning method based on the risk factors as claimed in claim 5, wherein: the output end of the user risk grouping module is electrically connected with the input end of a user instruction content module included by the risk early warning planning module, the input end of the user guidance content module is electrically connected with the output ends of the grouping filtering module, the guidance sorting module, the guidance arrangement module and the guidance combination module, the input ends of the group filtering module, the guiding and sorting module and the guiding and combining module are electrically connected with the output ends of the diagnosis guiding module, the diet guiding module, the exercise guiding module and the monitoring guiding module, the user guidance content output end is electrically connected with an input end of a module for setting the early warning frequency and the early warning period, the input end of the early warning frequency setting and early warning period setting module is simultaneously electrically connected with the output ends of the user daily characteristic module and the user health degree module, and the output end of the module for setting the early warning frequency and the early warning period is electrically connected with the input end of the user risk early warning plan module.
7. The health risk early warning method based on the risk factors as claimed in claim 6, wherein: user's risk early warning plan module output electricity is connected with the input course module input that user propelling movement module includes, input course module input electricity is connected with user's channel input path module output simultaneously, input course module output electricity is connected with the high available module input of uniformity, the high available module output electricity of uniformity is connected with APP, mail and other input modules, the high available module electricity of uniformity is connected with the circulation and is put in the module input, and the circulation puts in module output electricity and is connected with APP, mail and other input modules.
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| CN202210081757.2A CN114429803A (en) | 2022-01-24 | 2022-01-24 | Health risk early warning method based on risk factors |
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