CN115295160A - Self-service community health management system and management method - Google Patents
Self-service community health management system and management method Download PDFInfo
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Abstract
The invention belongs to the field of health management, relates to a data processing technology, and is used for solving the problem that the utilization rate of the existing self-service community health management system is not high, in particular to a self-service community health management system and a management method, wherein the self-service community health management system comprises a health management terminal, the health management terminal comprises a display screen and a processor, the display screen is in communication connection with the processor, the processor is also in communication connection with an acquisition module, a diagnosis and analysis module, a file management module, a case analysis module, a voice propaganda module, a storage module and a server, and the server is in communication connection with a propaganda planning module and a database; according to the invention, the acquisition module and the diagnosis and analysis module can be used for carrying out routine physical examination and small disease diagnosis on the user, so that the health management convenience of the user is improved, the economic cost and the time cost of the health management are reduced, and after the user carries out physical examination or diagnosis through the health management terminal, the physical examination result and the diagnosis result are directly displayed through the display screen.
Description
Technical Field
The invention belongs to the field of health management, relates to a data processing technology, and particularly relates to a self-service community health management system and a management method.
Background
Health management refers to a process of comprehensively managing individual or group health risk factors, and aims to mobilize the enthusiasm of individuals and groups and effectively utilize limited resources to achieve the maximum health effect.
Along with the popularization of the self-service community health management system, the health management convenience of users is improved, and meanwhile, the time cost and the economic cost of health management are also reduced, however, the existing self-service community health management system has the following problems: although the popularity of the self-service community health management system is high, the health management system receives low attention due to insufficient propaganda strength of health management, which results in that the utilization rate of the self-service community health management system is not high in some communities with young people as main bodies; in addition, although some health management systems in communities mainly based on the elderly have high utilization rate, some elderly people have too strong dependence on the health management system, and depend too much on the community health management system due to the psychology of saving money, saving time and the like, and some elderly people who need to visit a doctor delay the time of the doctor, so that the condition of the patient is worsened.
In view of the above technical problems, the present application proposes a solution.
Disclosure of Invention
The invention aims to provide a self-service community health management system, which is used for solving the problem that the utilization rate of the conventional self-service community health management system is not high;
the technical problems to be solved by the invention are as follows: how to provide a self-service community health management system and a management method which can publicize and promote the health management concept aiming at the main age level of the community.
The purpose of the invention can be realized by the following technical scheme:
the self-service community health management system comprises a health management terminal, wherein the health management terminal comprises a display screen and a processor, the display screen is in communication connection with the processor, the processor is also in communication connection with an acquisition module, a diagnosis and analysis module, a file management module, a case analysis module, a voice propaganda module, a storage module and a server, and the server is in communication connection with a propaganda planning module and a database;
the acquisition module is used for acquiring sign data when a user carries out health diagnosis through the health management terminal;
the diagnostic analysis module is used for analyzing the sign data to obtain a diagnostic result and sending the diagnostic result to the file management module and the display screen for displaying;
the system comprises a file management module, a voice propaganda module, a propaganda planning module, a diagnosis tree spectrum and a health management terminal, wherein the file management module is used for managing and analyzing an electronic file of a user, obtaining key levels and propaganda departments, respectively sending the key levels and the propaganda departments to the voice propaganda module and the propaganda planning module, after receiving the propaganda departments, obtaining hospital departments corresponding to the propaganda departments according to the contrast relation between the diagnosis tree spectrum and the hospital departments, marking the hospital departments as the propaganda departments, obtaining contact information of a professor of the propaganda departments of the health management terminal cooperation hospital, and sending the propaganda information and the geographic position of a community to a mobile phone terminal of the professor;
the case analysis module is used for monitoring and analyzing the historical diagnosis records of the user.
As a preferred embodiment of the present invention, the process of acquiring the emphasis level includes: the file management module is used for managing and analyzing the electronic files of the user: the age of the user is obtained through the electronic file, the age of the user is divided according to the age levels, the age levels comprise young age levels, middle age levels and old age levels, the user with the age between twenty years old and forty years old is divided into young age levels, the user with the age between forty years old and fifty-five years old is divided into middle age levels, the user with the age above fifty-five years old is divided into old age levels, the age level with the largest number of users is marked as an important level, and the important level is sent to the voice propaganda module through the processor.
As a preferred embodiment of the present invention, the voice promotion module performs voice broadcast promotion at promotion time of saturday and sunday after receiving the key hierarchy; the process of determining the promotion time of Saturday and Sunday comprises the following steps: if the key level is a youth level, the propaganda time is from ten to twelve am of saturday and sunday; if the key level is the middle-aged level, the propaganda time is eight to ten am on saturday and sunday; if the key level is an old level, the propaganda time is six to eight am on saturday and sunday.
As a preferred embodiment of the present invention, the process of acquiring the publicity department includes: the system comprises a file management module, a diagnosis tree spectrum, a storage module and a centralized threshold value, wherein the file management module establishes the diagnosis tree spectrum according to hospital department classification, the diagnosis tree spectrum comprises a plurality of main departments, each main department comprises a plurality of sub-departments, users are divided into the sub-departments according to diagnosis results in an electronic file, the number of all users of all the sub-departments of the main department is obtained and marked as a social table value of the main department, the main department with the largest social table value is marked as a key department, the number of the users of all the sub-departments in the key department is obtained and a user set is established, variance calculation is carried out on the user set to obtain the centralized coefficient, the centralized threshold value is obtained through the storage module, and the centralized coefficient is compared with the centralized threshold value:
if the concentration coefficient is smaller than the concentration threshold value, judging that the users of all the sub-departments in the main department are not concentrated, and marking the main department as a propaganda department;
if the concentration coefficient is larger than or equal to the concentration threshold value, judging that the users of all the sub-departments in the main department are concentrated, and marking the L1 sub-departments with the largest number of the users in the main department as propaganda departments;
the propaganda department is sent to the processor, the processor sends the propaganda department to the server after receiving the propaganda department, and the server sends the propaganda department to the propaganda planning module after receiving the propaganda department.
As a preferred embodiment of the present invention, the specific process of the case analysis module performing monitoring analysis on the historical diagnosis record of the user includes: acquiring a diagnosis record of a user in the last L1 month, marking the times that the diagnosis result of the diagnosis record is unqualified as ZD, acquiring the diagnosis times of the user in each sub-family, establishing a diagnosis set, performing variance calculation on the diagnosis set to obtain a diagnosis coefficient ZX, and performing numerical calculation on ZD and ZX to obtain a disease coefficient BZ of the user; the disease threshold BZmax is obtained through the storage module, the disease coefficient BZ of the user is compared with the disease threshold BZmax, and whether the pathological monitoring result of the user is qualified or not is judged according to the comparison result.
As a preferred embodiment of the present invention, the specific process of comparing the disease state coefficient BZ of the user with the disease state threshold BZmax comprises: if the disease coefficient BZ is smaller than the disease threshold BZmax, judging that the case monitoring result of the user is qualified, and marking the corresponding user as a common user; and if the disease coefficient BZ is larger than or equal to the disease threshold BZmax, judging that the case monitoring result of the user is unqualified, and sending a medical signal to a mobile phone terminal of the user by a case analysis module.
As a preferred embodiment of the present invention, the working method of the self-service community health management system includes the following steps:
the method comprises the following steps: the user registers an account through the health management terminal, an electronic file is generated after the registration is completed and is stored in the storage module and the file management module, and the user who successfully registers performs health diagnosis through the health management terminal;
step two: the electronic files of the user are managed and analyzed, key levels and propaganda departments are obtained, and the key levels and the propaganda departments are respectively sent to the voice propaganda module and the propaganda planning module;
step three: and monitoring and analyzing the historical diagnosis records of the user to obtain a disease coefficient of the user, and judging whether the case monitoring result of the user is qualified or not according to the numerical value of the disease coefficient.
The invention has the following beneficial effects:
1. the health management terminal can be used for carrying out routine physical examination and small disease diagnosis on a user through the acquisition module and the diagnosis analysis module, so that the health management convenience of the user is improved, the economic cost and the time cost of the health management are reduced, and after the user carries out physical examination or diagnosis through the health management terminal, the physical examination result and the diagnosis result are directly displayed through the display screen;
2. the age level of the user can be analyzed through the file management module, corresponding publicity time is selected according to the age level analysis result, then voice broadcasting publicity is carried out in the community through the voice publicity module, the health management consciousness of the user is improved, meanwhile, diagnosis data of the user is analyzed through the file management module, publicity departments are obtained, department professors and main officers of the cooperative hospital are screened through the publicity departments, and the professors and the main officers can come to the community to publicize lectures;
3. the history diagnosis records of the user can be monitored and analyzed through the case analysis module, when the disease coefficient of the user is too large, the user is indicated to go to a hospital for medical treatment, and the phenomenon that the user excessively depends on a health management system to delay the time of treating a large disease is further prevented.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a system block diagram of the present invention as a whole;
FIG. 2 is a block diagram of a system according to a first embodiment of the present invention;
FIG. 3 is a block diagram of a system according to a second embodiment of the present invention;
FIG. 4 is a block diagram of a system according to a third embodiment of the present invention;
FIG. 5 is a flowchart of a method according to a fourth embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in figure 1, self-service community health management system, including the health management terminal, the health management terminal includes display screen and treater, display screen and treater communication connection, and treater still communication connection have collection module, diagnosis analysis module, archives management module, case analysis module, voice propaganda module, storage module and server, server communication connection has propaganda planning module and database.
Example one
As shown in fig. 2, the acquisition module is used for acquiring data when a user performs health diagnosis through the health management terminal, and the acquisition module includes a sphygmomanometer, a blood glucose detector, a heart rate measuring instrument, a millimeter radar and the like; the sphygmomanometer is an instrument for measuring blood pressure, and is also called as a sphygmomanometer, and the sphygmomanometer mainly comprises an auscultation sphygmomanometer and an oscillometric sphygmomanometer; the blood glucose monitor is an instrument for measuring blood glucose, and the principle of the blood glucose monitor is mainly divided into two types: electrochemical and photochemical principles, generally speaking, photochemical principles require more blood than electrochemical-based glucometer tests; heart rate measurement is a program used to measure heart rate; the millimeter wave radar operates in the millimeter wave band. Generally, the millimeter wave refers to a frequency band of 30-300 GHz (the wavelength is 1-10 mm), and the wavelength of the millimeter wave is between centimeter wave and light wave, so that the millimeter wave has the advantages of microwave guidance and photoelectric guidance; the millimeter wave radar can accurately acquire the cardiac shock waves, respiratory waves and body motion waves of a human body by scanning the surface of the human body at a high speed, has complete waveforms and abundant details, can accurately calculate the heart rate and the respiratory rate of a patient, has the displacement resolution of 0.02mm and can detect the heart rate for more than 165 times.
The user registers an account through the health management terminal, after the registration is completed, an electronic file is generated and stored in the storage module and the file management module, the user who successfully registers performs physical examination or health diagnosis through the health management terminal, items needing diagnosis are selected through the display screen, sign data needing to be collected of the corresponding items are collected through the collection module, the diagnosis analysis module analyzes the sign data to obtain a diagnosis result, and the diagnosis result is sent to the file management module and the display screen to be displayed.
Illustratively, when a user performs routine physical examination through a health management terminal, acquiring blood pressure data YS, blood glucose data TS and heart rate data LS of the user through an acquisition module; the method comprises the following steps of obtaining a blood pressure range, a blood sugar range and a heart rate range through the age of a user, wherein the obtaining process of blood pressure data YS of the user comprises the following steps: acquiring a blood pressure value of a user through a sphygmomanometer, marking an average value of a maximum value and a minimum value of a blood pressure range as a blood pressure standard value, and marking an absolute value of a difference value of the blood pressure value and the blood pressure standard value as blood pressure data YS; the process of acquiring the blood sugar data TS of the user comprises the following steps: acquiring the blood sugar value of a user through a blood sugar detector, marking the average value of the maximum value and the minimum value of the blood sugar range as a blood sugar standard value, and marking the absolute value of the difference value of the blood sugar value and the blood sugar standard value as blood sugar data TS; the acquisition process of the heart rate data LS of the user includes: acquiring a heart rate value of a user through a heart rate measuring instrument, marking an average value of a maximum value and a minimum value of a heart rate range as a heart rate standard value, and marking an absolute value of a difference value of the heart rate value and the heart rate standard value as heart rate data LS; obtaining a physical examination coefficient TJ of the user through a formula TJ = alpha 1 × YS + alpha 2 × TS + alpha 3 × LS, wherein alpha 1, alpha 2 and alpha 3 are all proportionality coefficients, and alpha 1 is larger than alpha 2 and larger than alpha 3 and larger than 1; the physical examination threshold TJmax is obtained through the storage module, and the physical examination coefficient TJ of the user is compared with the physical examination threshold TJmax: if the physical examination coefficient TJ is smaller than the physical examination threshold TJmax, the physical examination result of the user is judged to be qualified, and the diagnosis and analysis module sends a physical sign qualified signal to the display screen through the processor; if the physical examination coefficient TJ is larger than or equal to the physical examination threshold TJmax, the physical examination result of the user is judged to be unqualified, and the diagnosis and analysis module sends a physical sign unqualified signal to the display screen through the processor; the health management terminal is used for carrying out routine physical examination and small disease diagnosis on a user, so that the health management convenience of the user is improved, the economic cost and the time cost of health management are reduced, and after the user carries out physical examination or diagnosis through the health management terminal, the physical examination result and the diagnosis result are directly displayed through the display screen.
Example two
Although the popularity of the self-service community health management system is high, the health management system receives low attention due to insufficient propaganda strength of health management, which results in that the utilization rate of the self-service community health management system is not high in some communities with young people as main bodies; the following embodiments are described.
As shown in fig. 3, the archive management module is configured to perform management analysis on the electronic archive of the user: acquiring the age of a user through an electronic file, dividing the age of the user according to age levels, wherein the age levels comprise a young level, a middle-aged level and an old level, the user aged between twenty years and forty years is divided into the young level, the user aged between forty years and fifty-five years is divided into the middle-aged level, the user aged above fifty-five years is divided into the old level, the age level with the largest number of users is marked as a key level, the key level is sent to a processor, and the key level is sent to a voice publicity module after the processor receives the key level; after receiving the key hierarchy, the voice propaganda module carries out voice broadcasting propaganda at the propaganda time of Saturday and Sunday; the process of determining the promotion time of Saturday and Sunday comprises the following steps: if the key level is a youth level, the propaganda time is from ten to twelve am of saturday and sunday; if the key level is the middle-aged level, the propaganda time is eight to ten am on saturday and sunday; if the key level is an old level, the propaganda time is six to eight am points of saturday and sunday; the age level of the user is analyzed, corresponding propaganda time is selected according to the age level analysis result, voice broadcasting propaganda is carried out in the community through the voice propaganda module, and health management consciousness of the user is improved.
The file management module establishes a diagnosis tree spectrum according to hospital department classification, the diagnosis tree spectrum comprises a plurality of main departments, each main department comprises a plurality of sub-departments, users are divided into the sub-departments according to diagnosis results in the electronic files, the number of all users of all the sub-departments of the main department is obtained and marked as a social table value of the main department, the main department with the largest social table value is marked as a key department, the number of the users of all the sub-departments in the key department is obtained and a user set is established, variance calculation is carried out on the user set to obtain a concentration coefficient, a concentration threshold is obtained through the storage module, and the concentration coefficient is compared with the concentration threshold: if the concentration coefficient is smaller than the concentration threshold value, judging that the users of all the sub-departments in the main department are not concentrated, and marking the main department as a propaganda department; if the concentration coefficient is larger than or equal to the concentration threshold value, judging that the users of all the sub-departments in the main department are concentrated, and marking the L1 sub-departments with the largest number of the users in the main department as propaganda departments; the propaganda department is sent to the processor, the propaganda department is sent to the server after the propaganda department is received by the processor, and the propaganda department is sent to the propaganda planning module after the propaganda department is received by the server; the diagnosis data of the user is analyzed through the file management module to obtain a propaganda department, a department professor and a main task in a cooperative hospital are screened through the propaganda department, and the professor and the main task come to a community to carry out propaganda and lecture.
The propaganda planning module acquires hospital departments corresponding to the propaganda department according to the contrast relationship between the diagnosis tree spectrum and the hospital departments after receiving the propaganda department and marks the hospital departments as propaganda departments, acquires contact information of a professor of a propaganda department of the health management terminal cooperative hospital, the contact information of the professor comprises name, age and mobile phone number of the professor, sends the propaganda information and the geographical position of a community to a mobile phone terminal of the professor, the professor performs propaganda lecture seat appointment making through the propaganda planning module after receiving the propaganda information, and the health management consciousness of a user is improved through a propaganda lecture seat mode.
EXAMPLE III
Although the utilization rate of the health management system of some communities taking old people as main bodies is high, part of old people have too strong dependence on the health management system and depend too much on the community health management system due to the psychology of saving money, saving time and the like, and part of old people needing to be hospitalized delay the hospitalization time, so that the condition of an illness is worsened.
As shown in fig. 4, the case analysis module is used to perform monitoring analysis on the historical diagnosis record of the user: acquiring a diagnosis record of a user in the last L1 month, wherein L1 is a constant value, the value of L1 is set by a manager, the times of unqualified diagnosis results of the diagnosis record are marked as ZD, the diagnosis times of the user in each sub-family are acquired, a diagnosis set is established, variance calculation is carried out on the diagnosis set to obtain a diagnosis coefficient ZX, a disease coefficient BZ of the user is obtained through a formula BZ = alpha 1 + ZD + alpha 2 ZX, the disease coefficient is a value reflecting the physical state of the user, and the larger the value of the disease coefficient is, the worse the physical state of the corresponding user is; wherein alpha 1 and alpha 2 are both proportional coefficients, and alpha 1 is more than alpha 2 and more than 1; obtaining a disease threshold value BZmax through a storage module, and comparing a disease coefficient BZ of the user with the disease threshold value BZmax: if the disease coefficient BZ is smaller than the disease threshold BZmax, judging that the case monitoring result of the user is qualified, and marking the corresponding user as a common user; if the disease coefficient BZ is larger than or equal to the disease threshold BZmax, the case monitoring result of the user is judged to be unqualified, and the case analysis module sends a medical signal to a mobile phone terminal of the user; the historical diagnosis records of the user are monitored and analyzed, when the disease coefficient of the user is too large, the fact that the user needs to go to a hospital to see a doctor is indicated, and further the phenomenon that the user excessively depends on a health management system to delay the time of treating a disease is prevented.
Example four
As shown in fig. 5, the self-service community health management method includes the following steps:
the method comprises the following steps: the user registers an account through the health management terminal, an electronic file is generated after the registration is completed and is stored in the storage module and the file management module, and the user who successfully registers performs health diagnosis through the health management terminal;
step two: the electronic files of the user are managed and analyzed, key levels and propaganda departments are obtained, and the key levels and the propaganda departments are respectively sent to the voice propaganda module and the propaganda planning module;
step three: and monitoring and analyzing the historical diagnosis records of the user to obtain a disease coefficient of the user, and judging whether the case monitoring result of the user is qualified or not according to the numerical value of the disease coefficient.
When the self-service community health management system works, a user performs account registration through a health management terminal, an electronic file is generated after the registration is completed and is stored in a storage module and a file management module, the user who successfully registers performs health diagnosis through the health management terminal, and a physical examination result and a diagnosis result are directly displayed through a display screen; the electronic files of the user are managed and analyzed, key levels and publicity departments are obtained, and the key levels and the publicity departments are respectively sent to the voice publicity module and the publicity planning module, so that the health management awareness of the user is improved; monitoring and analyzing the historical diagnosis record of the user to obtain a disease coefficient of the user, and judging whether the case monitoring result of the user is qualified or not according to the numerical value of the disease coefficient, so that the phenomenon that the user excessively depends on a health management system to delay the time for treating a disease is prevented.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions; such as: formula TZ = α 1 × xy + α 2 × xt + α 3 × xl; collecting multiple groups of sample data and setting corresponding physical sign coefficient for each group of sample data by the technicians in the field; substituting the set physical sign coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of alpha 1, alpha 2 and alpha 3 which are 5.37, 3.25 and 2.16 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and regarding the size of the coefficient, the size depends on the number of sample data and a corresponding physical sign coefficient is preliminarily set for each group of sample data by a person skilled in the art; the proportional relation between the parameters and the quantized values is not affected, for example, the sign coefficient is proportional to the value of the blood pressure data.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The self-service community health management method is characterized by comprising the following steps:
the method comprises the following steps: the user registers an account through the health management terminal, an electronic file is generated after the registration is finished and is stored in the storage module and the file management module, and the user who successfully registers performs health diagnosis through the health management terminal;
step two: the method comprises the steps of managing and analyzing an electronic file of a user to obtain a key level and a propaganda department, and sending the key level and the propaganda department to a voice propaganda module and a propaganda planning module respectively;
step three: and monitoring and analyzing the historical diagnosis records of the user to obtain a disease coefficient of the user, and judging whether the case monitoring result of the user is qualified or not according to the numerical value of the disease coefficient.
2. The self-service community health management system comprises a health management terminal, wherein the health management terminal comprises a display screen and a processor, and is characterized in that the display screen is in communication connection with the processor, the processor is also in communication connection with an acquisition module, a diagnosis and analysis module, a file management module, a case analysis module, a voice propaganda module, a storage module and a server, and the server is in communication connection with a propaganda planning module and a database;
the acquisition module is used for acquiring sign data when a user performs health diagnosis through the health management terminal;
the diagnostic analysis module is used for analyzing the sign data to obtain a diagnostic result and sending the diagnostic result to the file management module and the display screen for displaying;
the system comprises a file management module, a voice propaganda module, a propaganda planning module, a diagnosis tree spectrum and a health management terminal, wherein the file management module is used for managing and analyzing an electronic file of a user, obtaining key levels and propaganda departments, respectively sending the key levels and the propaganda departments to the voice propaganda module and the propaganda planning module, after receiving the propaganda departments, obtaining hospital departments corresponding to the propaganda departments according to the contrast relation between the diagnosis tree spectrum and the hospital departments, marking the hospital departments as the propaganda departments, obtaining contact information of a professor of the propaganda departments of the health management terminal cooperation hospital, and sending the propaganda information and the geographic position of a community to a mobile phone terminal of the professor;
the case analysis module is used for monitoring and analyzing the historical diagnosis records of the user.
3. The self-service community health management system of claim 2, wherein the key level acquisition process comprises: the file management module is used for managing and analyzing the electronic files of the user: the age of the user is obtained through the electronic file, the age of the user is divided according to the age levels, the age levels comprise young level, middle-aged level and old level, the user aged between twenty years and forty years is divided into young level, the user aged between forty years and fifty-five years is divided into middle-aged level, the user aged above fifty-five years is divided into old level, the age level with the largest number of the users is marked as an important level, and the important level is sent to the voice propaganda module through the processor.
4. The self-service community health management system of claim 3, wherein the voice publicizing module receives the key levels and then carries out voice broadcasting publicizing at the publicizing time of saturday and sunday; the process of determining the promotion time of Saturday and Sunday comprises the following steps: if the key level is a youth level, the propaganda time is from ten to twelve am of saturday and sunday; if the key level is the middle-aged level, the propaganda time is eight to ten am on saturday and sunday; if the key level is an old level, the propaganda time is six to eight am on saturday and sunday.
5. The self-service community health management system of claim 4, wherein the process of acquiring the publicity department comprises: the system comprises a file management module, a diagnosis tree spectrum, a storage module and a centralized threshold value, wherein the file management module establishes the diagnosis tree spectrum according to hospital department classification, the diagnosis tree spectrum comprises a plurality of main departments, each main department comprises a plurality of sub-departments, users are divided into the sub-departments according to diagnosis results in an electronic file, the number of all users of all the sub-departments of the main department is obtained and marked as a social table value of the main department, the main department with the largest social table value is marked as a key department, the number of the users of all the sub-departments in the key department is obtained and a user set is established, variance calculation is carried out on the user set to obtain the centralized coefficient, the centralized threshold value is obtained through the storage module, and the centralized coefficient is compared with the centralized threshold value:
if the concentration coefficient is smaller than the concentration threshold value, judging that the users of all the sub-departments in the subject are not concentrated, and marking the subject as a propaganda subject;
if the concentration coefficient is larger than or equal to the concentration threshold value, judging that the users of all the sub-departments in the main department are concentrated, and marking the L1 sub-departments with the largest number of the users in the main department as propaganda departments;
the propaganda department is sent to the processor, the propaganda department is sent to the server after the propaganda department is received by the processor, and the propaganda department is sent to the propaganda planning module after the propaganda department is received by the server.
6. The self-service community health management system of claim 5, wherein the specific process of monitoring and analyzing the historical diagnosis record of the user by the case analysis module comprises the following steps: acquiring a diagnosis record of a user in the last L1 month, marking the times that the diagnosis result of the diagnosis record is unqualified as ZD, acquiring the diagnosis times of the user in each sub-family, establishing a diagnosis set, performing variance calculation on the diagnosis set to obtain a diagnosis coefficient ZX, and performing numerical calculation on ZD and ZX to obtain a disease coefficient BZ of the user; the disease threshold BZmax is obtained through the storage module, the disease coefficient BZ of the user is compared with the disease threshold BZmax, and whether the pathological monitoring result of the user is qualified or not is judged according to the comparison result.
7. The self-service community health management system according to claim 6, wherein the specific process of comparing the disease condition coefficient BZ of the user with the disease condition threshold value BZmax comprises: if the disease coefficient BZ is smaller than the disease threshold BZmax, judging that the case monitoring result of the user is qualified, and marking the corresponding user as a common user; and if the disease coefficient BZ is larger than or equal to the disease threshold BZmax, judging that the case monitoring result of the user is unqualified, and sending a medical signal to a mobile phone terminal of the user by a case analysis module.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090000203A (en) * | 2007-01-31 | 2009-01-07 | 주식회사 에코벨 | Customer relationship management integrative system of management information system in hospital |
CN107085819A (en) * | 2017-06-07 | 2017-08-22 | 四川鸣医科技有限公司 | Senior health and fitness's service system based on internet |
US20170344715A1 (en) * | 2016-05-28 | 2017-11-30 | Hangzhou Mega Inno of Health Technology Co. Ltd | Health managing device and health managing method |
US20180114601A1 (en) * | 2015-09-24 | 2018-04-26 | Tencent Technology (Shenzhen) Company Limited | Health management method, apparatus, and system |
CN112002424A (en) * | 2020-09-01 | 2020-11-27 | 张婉婷 | Intelligent analysis management system for intelligent community endowment health based on big data |
CN112863679A (en) * | 2021-01-21 | 2021-05-28 | 江苏亚寰软件股份有限公司 | Control system for health management cabin |
CN114496247A (en) * | 2022-01-13 | 2022-05-13 | 重庆特斯联启智科技有限公司 | Community health management system |
KR20220101872A (en) * | 2021-01-12 | 2022-07-19 | 주식회사 투비콘 | Apparatus for providing customized health management curation service based on medical record information |
CN114883006A (en) * | 2022-06-10 | 2022-08-09 | 温州滨丰模具科技有限公司 | Health monitoring and dynamic management system based on big data and application |
-
2022
- 2022-08-16 CN CN202210991751.9A patent/CN115295160B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR20090000203A (en) * | 2007-01-31 | 2009-01-07 | 주식회사 에코벨 | Customer relationship management integrative system of management information system in hospital |
US20180114601A1 (en) * | 2015-09-24 | 2018-04-26 | Tencent Technology (Shenzhen) Company Limited | Health management method, apparatus, and system |
US20170344715A1 (en) * | 2016-05-28 | 2017-11-30 | Hangzhou Mega Inno of Health Technology Co. Ltd | Health managing device and health managing method |
CN107085819A (en) * | 2017-06-07 | 2017-08-22 | 四川鸣医科技有限公司 | Senior health and fitness's service system based on internet |
CN112002424A (en) * | 2020-09-01 | 2020-11-27 | 张婉婷 | Intelligent analysis management system for intelligent community endowment health based on big data |
KR20220101872A (en) * | 2021-01-12 | 2022-07-19 | 주식회사 투비콘 | Apparatus for providing customized health management curation service based on medical record information |
CN112863679A (en) * | 2021-01-21 | 2021-05-28 | 江苏亚寰软件股份有限公司 | Control system for health management cabin |
CN114496247A (en) * | 2022-01-13 | 2022-05-13 | 重庆特斯联启智科技有限公司 | Community health management system |
CN114883006A (en) * | 2022-06-10 | 2022-08-09 | 温州滨丰模具科技有限公司 | Health monitoring and dynamic management system based on big data and application |
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