CN111816274A - Pre-pregnancy health care service accurate management method based on big data - Google Patents

Pre-pregnancy health care service accurate management method based on big data Download PDF

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CN111816274A
CN111816274A CN202010653642.7A CN202010653642A CN111816274A CN 111816274 A CN111816274 A CN 111816274A CN 202010653642 A CN202010653642 A CN 202010653642A CN 111816274 A CN111816274 A CN 111816274A
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module
mobile phone
user
pregnancy
health care
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冯磊
柏灿红
赵曼丽
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Kunming Guandu District Maternal And Child Health And Family Planning Service Center
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Kunming Guandu District Maternal And Child Health And Family Planning Service Center
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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G16H10/65ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

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  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Pathology (AREA)
  • Nutrition Science (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The invention discloses a big data-based precision management method for pre-pregnancy health care service, which comprises the following steps: establishing a service management platform and building a big data server; developing a pre-pregnancy health service mobile phone app, and popularizing and applying; an online bracelet selling module is built on the mobile phone app; after receiving the bracelet, the user realizes binding connection with the mobile phone app through Bluetooth; the pregnant women can reasonably arrange the daily work and rest, diet and exercise conditions according to the guidance suggestions, and the goal of good birth and good care is achieved according to the precise management of the health care service. The invention can collect the work and rest eating habits of the pregnant couples in real time, and can obtain reasonable pre-pregnant health care matters through big data collection and analysis; the diet condition of each meal during pre-pregnancy health care can be recorded through the mobile phone app, whether diet is reasonable or not is analyzed by utilizing big data and experts, and corresponding suggestions are given; compared with the data of the prenuptial health care service management and analysis system in the prior art, the data of the prenuptial health care service management and analysis system are more comprehensive and more accurate.

Description

Pre-pregnancy health care service accurate management method based on big data
Technical Field
The invention belongs to the technical field of pre-pregnancy health care, and particularly relates to a pre-pregnancy health care service accurate management method based on big data.
Background
For a healthy and smart baby to live, pre-pregnancy health care must be done. The pre-pregnancy health care has some key cautions, including close relatives not marrying, pre-married experience, selection of best age and opportunity for pregnancy, elimination of unhealthy factors affecting eugenics, improvement of working and living conditions unfavorable for pregnancy, dietary supplement before pregnancy, culture of good sperms of husband, genetic counseling and related regulations for marriage and education.
The nutrients required by the embryo in the early stage of pregnancy can be directly obtained from nutrients stored in the endometrium, so that the preparation of the nutrients before pregnancy is important. In order to improve the health of the body before pregnancy, the diet should be properly prepared, and various foods rich in nutrients, such as meat, bean products, vegetables, fruits, etc., should be eaten. Various harmful substances not only affect the physical health of future mothers, but also affect the growth and development of fetuses, and are important factors for inducing fetal malformation. Before pregnancy, contact with harmful substances such as radioactive rays, lead, cadmium, mercury and the like, and whether the harmful substances in the body exceed normal standards or not should be checked, if the harmful substances exceed the normal standards, the patient should leave the work for a period of time, and then the pregnancy is performed after various index values of the body are normal.
The existing pre-marriage health care service management and analysis system is a computer application system used for completing data acquisition, processing, storage, statistical analysis and exchange of pre-marriage health care object case information in the process of developing pre-marriage health care services. The main tasks are to record and manage basic information of male and female prenuptial examination, examination information (prenuptial medical examination, routine auxiliary examination, prenuptial health guidance), health education, and result report. However, these simple data are not accurate enough, and there are various different living habits, working habits, personal conditions and the like in real life, which are all key factors affecting pre-pregnancy health care, and if data acquisition cannot be accurate, accurate pregnancy health care management cannot be achieved only by some common information without analysis of big data. Therefore, a precise management method for pre-pregnancy health care services based on big data is needed.
Disclosure of Invention
The invention aims to provide a big data-based precision management method for prenatal healthcare services, and aims to solve the problems that a prenatal healthcare service management and analysis system in the prior art is single in data and low in precision.
In order to achieve the purpose, the invention adopts the following technical scheme:
a big data-based precision management method for pre-pregnancy health care services comprises the following steps:
s1, establishing a service management platform, establishing a big data server, organizing background technology and service personnel, establishing a service background of the mobile phone app on the internet, and connecting the server with the medical big data platform;
s2, building a mobile phone app, developing a pre-pregnancy health service mobile phone app, and popularizing and applying;
s3, an online bracelet selling module is built on the mobile phone app, the commodity of the bracelet selling module is a pair of male and female bracelets, and information acquisition trigger buttons for the breakfast time, the lunch time and the dinner time are arranged on the male and female bracelets; a trigger button for collecting menstruation information is also independently arranged on the lady bracelet;
s4, after receiving the bracelet, the user is respectively bound and connected with the mobile phone app through Bluetooth, the body temperature and heart rate information of the user collected by the bracelet is sent to the mobile phone app to realize information collection, and a button on the bracelet can be manually triggered to collect the time points of the dining time or the menstruation time and collect the time points into the information comprehensive module;
s5, enabling the pregnant couple to go to a hospital for various examinations by guiding opinions through the mobile phone app, seeking doctor opinions, inputting examination results into the information integration module through the mobile phone, inputting personal daily work and diet information conditions through the mobile phone, comprehensively processing the information of the pregnant couple through the information integration module, processing and analyzing the comprehensive information by combining big data, and finally giving guidance opinions; the pregnant women can reasonably arrange the daily work and rest, diet and exercise conditions according to the guidance suggestions, and the goal of good birth and good care can be achieved according to the precise management of the health care service, so that the healthy babies can be born.
Furthermore, a professional database, a user data database and a commodity database are arranged in the big data server background; a user registration module is arranged in the mobile phone app module, a user performs data filling registration through a mobile phone, and couples are paired after the registration is completed; and the registration module is also provided with an expert module, the expert module comprises a nutrilogist expert, a maternal and child health care medical expert and a health exercise guide teacher, and the expert registration module is also provided with an expert qualification auditing module and a video authentication module.
Further, after the user finishes registering and pairing, the gender, the age, the height, the weight, the working environment, the living environment, the address, the staple food preference and the sports preference information are manually input; the working environment comprises detailed information of working duration, working time period, work type and working content; and a privacy hiding permission is also set in the module, so that partial privacy disclosure of the user is avoided.
Further, men's and women's bracelet all sets up to waterproof bracelet, men's and women's both sides need not remove the bracelet if there is not special circumstances, in the use, the both sides of men and women who are equipped with pregnant couple all can detect user's daily movement time and motion amplitude through bracelet collection body temperature and rhythm of the heart, can also detect user's sleep time point, length and sleep quality according to the rhythm of the heart condition simultaneously, send to the cell-phone through the bluetooth, thereby carry out reasonable control to user's work and rest movement time through gathering user information, and whether it is reasonable to carry out the analysis according to big data, and give and guide the suggestion.
Furthermore, vibration reminding modules are respectively arranged in the hand rings of the male and female men and the hand rings of the female men and the female women, and are connected with the mobile phone, when the users have no timely meals, the users are reminded to have meals in time through vibration, the vibration frequency is twice, the time length of each time is 10-15 seconds, the interval time is 3-5 minutes, and the vibration reminding modules can be set through the connection of mobile phone Bluetooth; and the user keeps 3 seconds through the button of the morning, the chinese and evening meals that corresponds on the manual push down bracelet before just having a meal of every meal, and 3 seconds back automatic triggering carry out the record to send on the cell-phone through the bluetooth.
Furthermore, a user diary module is also arranged in the mobile phone app module, and a user records and selectively discloses specific diet food, beverage, health care products or medicines of three meals each day in a diary of each day, so that experts or a big data background can analyze the foods according to specific diet conditions and provide reasonable suggestions conveniently; for example, snacks, overnight and snacks were also recorded.
Further, a communication module is arranged in the pre-pregnancy health care app module, and comprises a mutual communication group between users and a guidance dialog box for experts and users one by one; meanwhile, a hot forum is also arranged, so that a user can obtain required guidance information as required; and the expert guidance suggestion database is arranged in the big data server, so that guidance suggestions given by experts about various problems are convenient for users to find the guidance suggestions according to the problems.
Furthermore, an online health-care product selling module is also arranged in the mobile phone app module, and the health-care product channels can be put on shelves after being checked and approved by the service management platform; in the expert's various guidance opinions, if the health care products to be used or eaten are provided, they are required to be in one-to-one correspondence with the qualified health care products on the shelf.
Further, a notice module which is connected with a family planning department is also arranged in the mobile phone app module and is used for popularizing national policies about family planning, marriage and education related laws and regulations and guidance opinions and achieving the purpose of good prenatal and postnatal care.
Furthermore, an age segmentation module is further arranged in the mobile phone app, all users need to perform real-name authentication through identity cards, and a completely anonymous privacy function module is further arranged in the mobile phone app, so that a special channel is provided for some users with older or smaller ages, accidental pregnancy or physical disabilities to perform consultation services.
The invention has the technical effects and advantages that: compared with the prior art, the pre-pregnancy health care service accurate management method based on the big data has the following advantages that:
1. the invention adopts the bracelet, can collect the work and rest eating habits of the pregnant couple in real time, and the expert can formulate reasonable work and rest and exercise habits which do not influence the life and work according to the work and living environment in the information; and the situation similar to the couple can be obtained through big data collection and analysis for comparison, and the reasonable health care affair before pregnancy can be obtained;
2. according to the invention, the diet condition of each meal during pre-pregnancy health care can be recorded through the mobile phone app, whether diet is reasonable or not is analyzed by utilizing big data and experts, and corresponding suggestions are given;
3. the invention integrates big data analysis and various experts of pre-pregnancy health care, provides reliable guidance opinions for pregnant couples, and has more comprehensive data and higher accuracy than the data of the pre-marriage health care service management and analysis system in the prior art.
Drawings
FIG. 1 is a schematic structural view of a male bracelet of the invention;
FIG. 2 is a schematic structural view of a lady bracelet according to the present invention;
fig. 3 is a block diagram of a big data-based precision management system for pre-pregnancy healthcare services according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. The specific embodiments described herein are merely illustrative of the invention and do not delimit the invention. 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.
The invention provides a big data-based precision management method for pre-pregnancy health care services, which comprises the following steps of:
s1, establishing a service management platform, establishing a big data server, organizing background technology and service personnel, establishing a service background of the mobile phone app on the internet, and connecting the server with the medical big data platform;
s2, building a mobile phone app, developing a pre-pregnancy health service mobile phone app, and popularizing and applying;
s3, an online bracelet selling module is built on the mobile phone app, the commodity of the bracelet selling module is a pair of male and female bracelets, and information acquisition trigger buttons for the breakfast time, the lunch time and the dinner time are arranged on the male and female bracelets; a trigger button for collecting menstruation information is also independently arranged on the lady bracelet;
s4, after receiving the bracelet, the user is respectively bound and connected with the mobile phone app through Bluetooth, the body temperature and heart rate information of the user collected by the bracelet is sent to the mobile phone app to realize information collection, and a button on the bracelet can be manually triggered to collect the time points of the dining time or the menstruation time and collect the time points into the information comprehensive module;
s5, enabling the pregnant couple to go to a hospital for various examinations by guiding opinions through the mobile phone app, seeking doctor opinions, inputting examination results into the information integration module through the mobile phone, inputting personal daily work and diet information conditions through the mobile phone, comprehensively processing the information of the pregnant couple through the information integration module, processing and analyzing the comprehensive information by combining big data, and finally giving guidance opinions; the pregnant women can reasonably arrange the daily work and rest, diet and exercise conditions according to the guidance suggestions, and the goal of good birth and good care can be achieved according to the precise management of the health care service, so that the healthy babies can be born.
A professional database, a user data database and a commodity database are arranged in the big data server background; a user registration module is arranged in the mobile phone app module, a user performs data filling registration through a mobile phone, and couples are paired after the registration is completed; and the registration module is also provided with an expert module, the expert module comprises a nutrilogist expert, a maternal and child health care medical expert and a health exercise guide teacher, and the expert registration module is also provided with an expert qualification auditing module and a video authentication module. After the user finishes registering and pairing, manually inputting sex, age, height, weight, working environment, living environment, address, staple food preference and sports preference information; the working environment comprises detailed information of working duration, working time period, work type and working content; and a privacy hiding permission is also set in the module, so that partial privacy disclosure of the user is avoided.
Both sides of men and women all set up to waterproof bracelet, both sides of men and women need not remove the bracelet if there is not special case, in the use, both sides of men and women who are equipped with pregnant couple all can detect user's daily movement time and motion amplitude through bracelet collection body temperature and rhythm of the heart, can also detect user's sleep time point according to the rhythm of the heart condition simultaneously, length and sleep quality during sleep, send to the cell-phone through the bluetooth, thereby carry out reasonable control to user's work and rest movement time through gathering user information, and whether reasonable according to big data analysis, and give out and guide the suggestion. The mobile phone comprises a man-woman bracelet, a mobile phone and a vibration reminding module, wherein the man-woman bracelet is provided with the vibration reminding module respectively and is connected with the mobile phone, when a user does not have a meal in time, the user is reminded of having the meal in time through vibration, the vibration frequency is twice, the time length of each time is 10-15 seconds, the interval time is 3-5 minutes, and the vibration reminding module can be set through the connection of mobile phone Bluetooth; and the user keeps 3 seconds through the button of the morning, the chinese and evening meals that corresponds on the manual push down bracelet before just having a meal of every meal, and 3 seconds back automatic triggering carry out the record to send on the cell-phone through the bluetooth. The mobile phone app module is also provided with a user diary module, and a user records and selectively discloses specific dietary food, beverages, health care products or medicines of three meals each day in a diary of each day, so that experts or a big data background can analyze the foods according to specific dietary conditions and give reasonable suggestions; for example, snacks, overnight and snacks were also recorded.
The pre-pregnancy health care app module is also provided with a communication module, and the communication module comprises a mutual communication group between users and expert and user guidance dialog boxes one by one; meanwhile, a hot forum is also arranged, so that a user can obtain required guidance information as required; and the expert guidance suggestion database is arranged in the big data server, so that guidance suggestions given by experts about various problems are convenient for users to find the guidance suggestions according to the problems. An online health-care product selling module is also arranged in the mobile phone app module, and the health-care product channels can be put on shelves after being checked and approved by the service management platform; in the expert's various guidance opinions, if the health care products to be used or eaten are provided, they are required to be in one-to-one correspondence with the qualified health care products on the shelf. And the mobile phone app module is also provided with an announcement module which is butted with a family planning department and is used for popularizing national policies about family planning, marriage and education related laws and regulations and guidance opinions and achieving the purpose of prepotency.
The mobile phone app is further provided with an age segmentation module, all users need real-name authentication through identity cards, and the mobile phone app is further provided with a fully anonymous privacy function module, so that a special channel is provided for some users with older or smaller ages, accidental pregnancy or physical disabilities to perform consultation services.
Example one is as follows:
XXX is established by investing under the flag of a certain group, and in the internal test period, the positive value is 1 month and early, Mr. Cheng and Li ladies of a user are users of the pre-pregnancy health APP, and the Mr. Cheng and Li ladies of the user register after downloading the APP and purchase a pair of bracelets at the online shop end of the APP; when the Mr. Ling and the plum woman are bound with the bracelet through the mobile phone Bluetooth after receiving the bracelet, and the woman is ready to be pregnant in the 4-6 months of the year.
The daily exercise condition, the daily sleep condition and the daily diet time point can be recorded through the bracelet, and diet information is timely input by Mr. Lin and Li ladies every day. The plum lady is usually in an office for a long time to sit and has a long time of contacting a computer when the plum lady is in accounting work; experts recommend that plum women can avoid radiation as much as possible, and the sitting time and the computer time are reduced; and Mr. Lin works in factory workshops, has high noise, is in more contact with copper and aluminum metal, and affects the health of a human body. Through the precise management of the pre-pregnancy health care service, the next healthy female baby can be born successfully in the next 2 months of the plum female.
Example two is as follows:
different from the first embodiment, the king doctor is a gynecologic specialist in a certain hospital, becomes the platform formal signing specialist through auditing and certification during registration, and can conduct health guidance on 3-5 couples in each month in leisure time and track the health care condition before pregnancy in real time; at the end of each month, the king doctor can also receive subsidy salary of the signing platform; the king doctor also timely participates in the communication session of the platform which is held once a week every half year, and the communication and learning of the industry experts are promoted.
Example three is as follows:
different from the first embodiment, the user yao lady has been disabled in legs and inconvenient in movement due to early traffic accidents, and is stressed in various aspects of mind and body in the aspect of pregnancy due to the age; the user completes registration on the mobile phone app through a special channel; after the registration is completed, the platform receives the registration information, a gynecological medical expert, a psychological medical coaching expert and a nutrition expert are specially distributed for the platform, the experts condition the bodies and the minds of the experts, pre-pregnancy health care products suitable for the disabled are recommended on a mobile phone app, a husband of the user actively cooperates with the experts to guide and suggest in all aspects, the next healthy baby can be successfully produced after one year, and the mother and the child are safe.
Therefore, the invention adopts the bracelet, the work and rest eating habits of the pregnant couples can be collected in real time, and the experts can formulate reasonable work and rest and exercise habits which do not influence the life and work of the pregnant couples according to the work and living environment in the information; and the situation similar to the couple can be obtained through big data collection and analysis for comparison, and the reasonable health care affair before pregnancy can be obtained; according to the invention, the diet condition of each meal during pre-pregnancy health care can be recorded through the mobile phone app, whether diet is reasonable or not is analyzed by utilizing big data and experts, and corresponding suggestions are given; the invention integrates big data analysis and various experts of pre-pregnancy health care, provides reliable guidance opinions for pregnant couples, and has more comprehensive data and higher accuracy than the data of the pre-marriage health care service management and analysis system in the prior art.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments or portions thereof without departing from the spirit and scope of the invention.

Claims (10)

1. A big data-based precision management method for pre-pregnancy health care services is characterized by comprising the following steps:
s1, establishing a service management platform, establishing a big data server, organizing background technology and service personnel, establishing a service background of the mobile phone app on the internet, and connecting the server with the medical big data platform;
s2, building a mobile phone app, developing a pre-pregnancy health service mobile phone app, and popularizing and applying;
s3, an online bracelet selling module is built on the mobile phone app, the commodity of the bracelet selling module is a pair of male and female bracelets, and information acquisition trigger buttons for the breakfast time, the lunch time and the dinner time are arranged on the male and female bracelets; a trigger button for collecting menstruation information is also independently arranged on the lady bracelet;
s4, after receiving the bracelet, the user is respectively bound and connected with the mobile phone app through Bluetooth, the body temperature and heart rate information of the user collected by the bracelet is sent to the mobile phone app to realize information collection, and a button on the bracelet can be manually triggered to collect the time points of the dining time or the menstruation time and collect the time points into the information comprehensive module;
s5, enabling the pregnant couple to go to a hospital for various examinations by guiding opinions through the mobile phone app, seeking doctor opinions, inputting examination results into the information integration module through the mobile phone, inputting personal daily work and diet information conditions through the mobile phone, comprehensively processing the information of the pregnant couple through the information integration module, processing and analyzing the comprehensive information by combining big data, and finally giving guidance opinions; the pregnant women can reasonably arrange the daily work and rest, diet and exercise conditions according to the guidance suggestions, and the goal of good birth and good care can be achieved according to the precise management of the health care service, so that the healthy babies can be born.
2. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: a professional database, a user data database and a commodity database are arranged in the big data server background; a user registration module is arranged in the mobile phone app module, a user performs data filling registration through a mobile phone, and couples are paired after the registration is completed; and the registration module is also provided with an expert module, the expert module comprises a nutrilogist expert, a maternal and child health care medical expert and a health exercise guide teacher, and the expert registration module is also provided with an expert qualification auditing module and a video authentication module.
3. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: after the user finishes registering and pairing, manually inputting sex, age, height, weight, working environment, living environment, address, staple food preference and sports preference information; the working environment comprises detailed information of working duration, working time period, work type and working content; and a privacy hiding permission is also set in the module, so that partial privacy disclosure of the user is avoided.
4. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: both sides of men and women all set up to waterproof bracelet, both sides of men and women need not remove the bracelet if there is not special case, in the use, both sides of men and women who are equipped with pregnant couple all can detect user's daily movement time and motion amplitude through bracelet collection body temperature and rhythm of the heart, can also detect user's sleep time point according to the rhythm of the heart condition simultaneously, length and sleep quality during sleep, send to the cell-phone through the bluetooth, thereby carry out reasonable control to user's work and rest movement time through gathering user information, and whether reasonable according to big data analysis, and give out and guide the suggestion.
5. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: the mobile phone comprises a man-woman bracelet, a mobile phone and a vibration reminding module, wherein the man-woman bracelet is provided with the vibration reminding module respectively and is connected with the mobile phone, when a user does not have a meal in time, the user is reminded of having the meal in time through vibration, the vibration frequency is twice, the time length of each time is 10-15 seconds, the interval time is 3-5 minutes, and the vibration reminding module can be set through the connection of mobile phone Bluetooth; and the user keeps 3 seconds through the button of the morning, the chinese and evening meals that corresponds on the manual push down bracelet before just having a meal of every meal, and 3 seconds back automatic triggering carry out the record to send on the cell-phone through the bluetooth.
6. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: the mobile phone app module is also provided with a user diary module, and a user records and selectively discloses specific dietary food, beverages, health care products or medicines of three meals each day in a diary of each day, so that experts or a big data background can analyze the foods according to specific dietary conditions and give reasonable suggestions; for example, snacks, overnight and snacks were also recorded.
7. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: the pre-pregnancy health care app module is also provided with a communication module, and the communication module comprises a mutual communication group between users and expert and user guidance dialog boxes one by one; meanwhile, a hot forum is also arranged, so that a user can obtain required guidance information as required; and the expert guidance suggestion database is arranged in the big data server, so that guidance suggestions given by experts about various problems are convenient for users to find the guidance suggestions according to the problems.
8. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: an online health-care product selling module is also arranged in the mobile phone app module, and the health-care product channels can be put on shelves after being checked and approved by the service management platform; in the expert's various guidance opinions, if the health care products to be used or eaten are provided, they are required to be in one-to-one correspondence with the qualified health care products on the shelf.
9. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: and the mobile phone app module is also provided with an announcement module which is butted with a family planning department and is used for popularizing national policies about family planning, marriage and education related laws and regulations and guidance opinions and achieving the purpose of prepotency.
10. The big-data-based precision management method for pre-pregnancy healthcare services as claimed in claim 1, wherein: the mobile phone app is further provided with an age segmentation module, all users need real-name authentication through identity cards, and the mobile phone app is further provided with a fully anonymous privacy function module, so that a special channel is provided for some users with older or smaller ages, accidental pregnancy or physical disabilities to perform consultation services.
CN202010653642.7A 2020-07-08 2020-07-08 Pre-pregnancy health care service accurate management method based on big data Pending CN111816274A (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008059412A (en) * 2006-09-01 2008-03-13 Terumo Corp Health management system
CN105160190A (en) * 2015-09-16 2015-12-16 深圳东沅科技有限公司 Health archive based family doctor diagnosis and treatment system and diagnosis and treatment APP
CN106250698A (en) * 2016-08-04 2016-12-21 华南理工大学 The nutrient health personalized based on gestation metabolism instructs system and guidance method thereof
CN107194175A (en) * 2017-05-24 2017-09-22 刘凤江 One kind set interactive health management service network plateform system
CN107833612A (en) * 2017-09-23 2018-03-23 深圳市赛亿科技开发有限公司 A kind of prenatal diet based on APP platforms is health management system arranged and method
KR20180065593A (en) * 2016-12-08 2018-06-18 링크젠 주식회사 Wearable device-based healthcare system
CN108492878A (en) * 2018-03-28 2018-09-04 史阳 A kind of comprehensive health services system of personalization with health score assigning function
CN110464319A (en) * 2019-08-22 2019-11-19 合肥学院 A kind of bracelet health monitoring systems

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008059412A (en) * 2006-09-01 2008-03-13 Terumo Corp Health management system
CN105160190A (en) * 2015-09-16 2015-12-16 深圳东沅科技有限公司 Health archive based family doctor diagnosis and treatment system and diagnosis and treatment APP
CN106250698A (en) * 2016-08-04 2016-12-21 华南理工大学 The nutrient health personalized based on gestation metabolism instructs system and guidance method thereof
KR20180065593A (en) * 2016-12-08 2018-06-18 링크젠 주식회사 Wearable device-based healthcare system
CN107194175A (en) * 2017-05-24 2017-09-22 刘凤江 One kind set interactive health management service network plateform system
CN107833612A (en) * 2017-09-23 2018-03-23 深圳市赛亿科技开发有限公司 A kind of prenatal diet based on APP platforms is health management system arranged and method
CN108492878A (en) * 2018-03-28 2018-09-04 史阳 A kind of comprehensive health services system of personalization with health score assigning function
CN110464319A (en) * 2019-08-22 2019-11-19 合肥学院 A kind of bracelet health monitoring systems

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