CN106971084B - Household health management system and method - Google Patents
Household health management system and method Download PDFInfo
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- CN106971084B CN106971084B CN201710328400.9A CN201710328400A CN106971084B CN 106971084 B CN106971084 B CN 106971084B CN 201710328400 A CN201710328400 A CN 201710328400A CN 106971084 B CN106971084 B CN 106971084B
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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
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- 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
- G16H50/30—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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Abstract
The invention discloses a home health management system and a method.A data identification module identifies abnormal data identified by a user after judging each time of measured data, and a real data screening module rejects the abnormal data identified by the data identification module and screens out real data of the user in a measurement result notification module; after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with various normal indexes of the healthy organism, so that the user health suggestion is obtained; the authenticity and the reliability of the user data are greatly improved, and the inaccuracy of the finally obtained health analysis result caused by some measured abnormal data is avoided; and the health data and the health advice of the user can only be shared between the user and the family members, so that the health supervision among the family members is realized, the false data provided by the user is effectively avoided, and the authenticity and the reliability of the data are improved.
Description
Technical Field
The invention relates to the field of health equipment, in particular to a family health management system and method.
Background
With the development of economy and the improvement of people's health consciousness, more and more people begin to learn their own physical health condition in a way of regular physical examination or carrying various portable monitoring devices with them. However, the existing health monitoring equipment cannot provide health suggestions suitable for the health condition of the user, only records and displays the current health data of the user, but cannot permanently store all the health data of the user, so that the user cannot quickly and directly obtain the health condition change of the user; moreover, modern people often forget to regularly check up the life with busy and fast pace, and the modern people always feel the health is greatly influenced after serious problems; in addition, the measured data are often inaccurate due to various reasons, and then the existing health equipment cannot identify abnormal data, so that the final result comprises abnormal data, and the data are not real and reliable.
Accordingly, the prior art is still in need of improvement and development.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide a home health management system and a method thereof, which aim to solve the problem that the home health management system in the prior art cannot reject abnormal data, resulting in unreliable final data.
The technical scheme of the invention is as follows:
a home health management system comprising:
a family member setting module;
the user data acquisition module is used for acquiring basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
the user data processing module is used for analyzing and processing the basic health medical record information, the health data, the daily life habit data, the diet data and the exercise data of the user acquired by the user data acquisition module;
the measurement result notification module is used for displaying the measurement result data of each time of the user and the suggestion of each measurement result processed by the user data processing module on a client;
the data identification module is used for identifying the abnormal data or correcting and identifying the data marked as abnormal as normal after the user judges the measured data each time;
the accumulated data analysis suggestion module comprises a real data screening module, an analysis comparison module and a health suggestion summarization output module; the real data screening module is used for removing the abnormal data marked by the data marking module so as to screen out the real data of the user in the measurement result notification module; the analysis comparison module stores various normal indexes of the healthy organism, and after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with the various normal indexes of the healthy organism, so that the health suggestion of the user is obtained; and the health advice summarization output module is used for carrying out accumulated analysis on the user health advice output by the analysis comparison module in a preset time period, forming an analysis report according to an analysis result and outputting the analysis report to the client.
The family health management system, wherein the family member setting module comprises:
a family membership unit, the family membership of each user including at most a parent of the user, a sibling of the user, a spouse of the user, and a child of the user;
a verification unit configured to verify family member information that becomes a user, and for information conforming to the family member relationship, verify that the information is added to the family member of the user; if the verification does not accord with the information of the family membership, refusing to pass the verification;
and the information sharing unit is used for sharing information between the user and the family member.
The family health management system is characterized in that the family member setting module further comprises a system friendly unit for providing a system friendly for a user and realizing at least the same function as the family member relation.
The home health management system further comprises a home member data attribution mark for the health data collected each time, and the health data measured by all non-home members are marked as health data of system relatives and friends.
The home health management system, wherein the data identification module comprises:
the self-identification unit is used for identifying the data confirmed to be abnormal by the user;
an authorized family member identification unit, wherein the user authorizes any family member to identify the data confirmed to be abnormal by the user or correct and identify the data identified to be abnormal as normal;
and the authorization system relatives and friends identification unit is used for identifying the data confirmed to be abnormal by the user or identifying the data corrected to be abnormal as normal.
The home health management system, wherein the user data acquisition module comprises:
the medical instrument data acquisition unit is used for acquiring health data measured by a user by using a medical instrument;
the system comprises a daily life habit data acquisition unit, a first analysis conversion unit and a second analysis conversion unit, wherein the daily life habit data acquisition unit comprises a daily life habit data input unit and a first analysis conversion unit, and after a user inputs daily life habit data from the daily life habit data input unit, the first analysis conversion unit converts the daily life habit data into health parameters of daily life habits of the user;
the diet data acquisition unit comprises a diet data input unit and a second analysis conversion unit, wherein after a user inputs diet data from the diet data input unit, the second analysis conversion unit converts the diet data into diet health parameters of the user;
the motion data acquisition unit comprises a motion data input unit and a third analysis conversion unit, and after a user inputs motion data from the motion data input unit, the third analysis conversion unit converts the motion data into motion health parameters of the user;
and the individual basic health medical record information acquisition unit is used for acquiring the individual basic health medical record information of the user.
A home health management method comprising the steps of:
step A, setting family members of a user;
step B, a user data acquisition module acquires basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
step C, the user data processing module analyzes and processes the basic health medical record information, the health data, the daily life habit data, the diet data and the exercise data of the user acquired by the user data acquisition module;
step D, the measurement result notification module displays the measurement result data of each time of the user and the suggestion of each measurement result processed by the user data processing module on a client;
e, the data identification module identifies the data marked as abnormal or corrects the data marked as abnormal as normal after judging the measured data of each time by the user;
step F, the real data screening module rejects the abnormal data marked by the data marking module, so that the real data of the user are screened out, the real data of the user screened by the real data screening module are transmitted to the analysis comparison module, and then the real data of the user and various normal indexes of the healthy organism are compared and analyzed, so that the user health advice is obtained; and the health advice summarization output module is used for carrying out accumulated analysis on the user health advice output by the analysis comparison module in a preset time period, forming an analysis report according to an analysis result and outputting the analysis report to the client.
The home health management method, wherein the step A specifically comprises the following steps:
a1, setting family members of users, wherein the family membership of each user at most comprises parents of the user, brothers and sisters of the user, spouse of the user and children of the user;
a2, verifying family member information of a user, and adding verification into the family member relation of the user for the information conforming to the family member relation; if the verification does not accord with the information of the family membership, refusing to pass the verification;
and step A3, information sharing is carried out between the user and the family member.
The home health management method, wherein the step A1 further includes the following steps:
and A0, setting a system parent of the user, and providing the system parent for the user, wherein the system parent is used for realizing at least the same function as the family membership.
The home health management method, wherein the step E specifically includes: the user identifies the data confirmed as abnormal by the user, the user authorizes any family member to identify the data confirmed as abnormal by the user or identifies the data corrected as abnormal by the user, or the user authorization system relatives and friends identify the data confirmed as abnormal by the user or identify the data corrected as abnormal by the user.
Compared with the prior art, the invention has obvious advantages and beneficial effects, in particular, according to the technical proposal,
the data identification module identifies abnormal data which are identified by the data identification module aiming at the judgment of the user on each measurement data, and the real data screening module rejects the abnormal data identified by the data identification module so as to screen the real data of the user in the measurement result notification module; after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with various normal indexes of the healthy organism, so that the user health suggestion is obtained; the health advice summarization output module performs accumulated analysis on the user health advice output by the analysis comparison module within a preset time period, forms an analysis report according to an analysis result, and outputs the analysis report to the client, so that the authenticity and reliability of user data are greatly improved, and inaccuracy of a finally obtained health analysis result due to some measured abnormal data is avoided; and the health data and the health advice of the user can only be shared between the user and the family members, thereby achieving the purpose of health supervision among the family members, effectively avoiding the user from providing false data and improving the authenticity and reliability of the data.
Drawings
FIG. 1 is a system block diagram of a home health management system in the present invention;
FIG. 2 is a schematic diagram of a family member setting module in the present invention;
FIG. 3 is a schematic diagram of a data identification module in the present invention;
FIG. 4 is a schematic diagram of a user data acquisition module in the present invention;
FIG. 5 is a schematic diagram of a view rights module in the present invention;
FIG. 6 is a flow chart of a home health management method in the present invention;
fig. 7 is a flowchart of S100 and S200 in the present invention;
fig. 8 is a specific flowchart of step S10 in the present invention.
Detailed Description
The invention provides a home health management system and a home health management method, which are used for making the purposes, technical schemes and effects of the invention clearer and more definite, and the invention is further described in detail below by referring to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, the present invention provides a home health management system, which includes a family member setting module 10, a user data acquisition module 20, a user data processing module 30, a measurement result notification module 40, a data identification module 50, and an accumulated data analysis advice module 60.
The user data acquisition module 20 is used for acquiring basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
the user data processing module 30 is configured to analyze and process the basic health medical record information, health data, daily life habit data, diet data and exercise data of the user acquired by the user data acquisition module 20;
the measurement result notification module 40 is configured to display the measurement result data of each time and the advice of each measurement result processed by the user data processing module 30 on a client;
the data identification module 50 identifies the data identified as abnormal or identifies the data corrected as abnormal as normal for each time the user determines the measured data.
The accumulated data analysis suggestion module 60 comprises a real data screening module 61, an analysis comparison module 62 and a health suggestion summary output module 63; the real data filtering module 61 is configured to reject the abnormal data identified by the data identification module 50, so as to filter out real data of the user in the measurement result notification module 40; the analysis comparison module 62 stores various normal indexes of the healthy organism, and after the real data of the user screened by the real data screening module 61 is transmitted to the analysis comparison module 62, the real data of the user and the various normal indexes of the healthy organism are compared and analyzed, so that a user health suggestion is obtained; the health advice aggregation output module 63 is configured to perform cumulative analysis on the user health advice output by the analysis comparison module 62 in a preset time period, form an analysis report according to the analysis result, and output the analysis report to the client.
The data identification module identifies the abnormal data identified by the data identification module aiming at the judgment of the user on each measurement data, and the real data screening module rejects the abnormal data identified by the data identification module so as to screen the real data of the user in the measurement result notification module; after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with various normal indexes of the healthy organism, so that the user health suggestion is obtained; the health advice summarization output module performs accumulated analysis on the user health advice output by the analysis comparison module within a preset time period, forms an analysis report according to an analysis result, and outputs the analysis report to the client, so that the authenticity and reliability of user data are greatly improved, and inaccuracy of a finally obtained health analysis result due to some measured abnormal data is avoided; the health data and the health advice of the user can only be shared between the user and the family members, so that the health supervision among the family members is realized, the false data provided by the user is effectively avoided, and the authenticity and the reliability of the data are improved; in addition, the user can improve the living habit and the eating habit according to the suggestions provided by the system and develop the habit of regular physical examination, thereby realizing the purpose of healthy living, greatly facilitating the living of the user and improving the user experience.
Preferably, as shown in fig. 2, the family member setting module 10 includes: a family membership unit 11, the family membership of each user including at most a parent of the user, a sibling of the user, a spouse of the user, and a child of the user; a verification unit 12 for verifying family member information that becomes a user, and for information conforming to the family member relationship, verification is performed by adding to the family member relationship of the user; if the verification does not accord with the information of the family membership, refusing to pass the verification; an information sharing unit 13 for information sharing between the user and the family members.
The information sharing unit is used for sharing information between the user and the family members, so that the purpose of health supervision among the family members is achieved, the family members of the user are limited to parents, brothers sisters, spouse and children of the user, if the relationship exceeds the relationship, the relationship cannot be added to a family member list of the user, false data can be effectively prevented from being provided by the user, and the authenticity and reliability of the data are improved.
Preferably, as shown in fig. 2, the family member setting module 10 further includes a system friendly unit 14, and the system friendly unit 14 provides a system friendly for a user to perform at least the same function as the family member relationship.
When the user confirms that the measured data is abnormal, the measured data may be identified as "abnormal", and when the user confirms that the measured data is normal, the identification may not be performed or may be identified as "normal". In one embodiment of the invention, no identification is made when the user confirms that the measurement data is normal. Preferably, as shown in fig. 3, the data identification module 50 includes: a self-identification unit 51 for identifying data confirmed to be abnormal by the user; an authorized family member identification unit 52 that the user authorizes any one of the family members to identify the data confirmed as abnormal by the user or to correct and identify the data identified as abnormal as normal; and an authorization system relatives and friends identification unit 53 for identifying data confirmed as abnormal by the user or correcting and identifying the data identified as abnormal as normal.
When the measurement result notification module 40 displays the measurement result on the client, and the user finds that the data is displayed as abnormal, the state when the data is measured may be recalled. If the state of the user is abnormal during the measurement, the measurement data can be identified, the identified abnormal data can be removed in the subsequent operation, the real data of the user can be analyzed, the authenticity and the reliability of the health analysis data can be greatly improved, and the inaccuracy of the finally obtained health analysis result caused by some measured abnormal data can be avoided.
The user can identify the data by identifying the data by himself or by authorizing family members to identify the data or by authorizing system relatives and friends to identify the data after judging the data of each measurement. The user can not be revoked once the data marked as abnormal is marked by himself, if the state attribute of the data needs to be changed, the data must be marked by another authorized family member or system parent, the system defaults the last time to be the state attribute of the data, and thus the authenticity of the data can be ensured to the greatest extent. For example, the user typically measures his or her own blood pressure data before meals, but once the user measures his or her own blood pressure data after meals, when the user sees the data, recall that the measurement of the data is likely to be caused by the measurement after meals, the data does not have a reference value, in order to avoid that the data affects the health analysis result, the user needs to identify the data, and the user can identify the data through the self-identification unit 51, and the user cannot change the data by himself or herself after the identification; if a change is desired, it can only be identified to itself by authorizing the family member. It should be noted that, to avoid some users not having family members and thus not being able to change their data status attributes, the system configures a system parent for each user, who may authorize the system parent to identify status attributes for their own data.
"data correction identified as abnormal is identified as normal" may be identified as normal by authorizing any of the family members to identify data correction identified as abnormal or authorizing system relatives and friends to identify data correction identified as abnormal as normal. For example, if the user wants to change the data to be normal, the user cannot change the data, and can authorize the other family member B to re-identify the data to be normal; or also authorises system relatives and friends to correct the data identified as abnormal as normal.
Preferably, the data identification module 50 further includes home member data attribution labeling of each collected health data, and identifies all non-home member measured health data as system relatives and friends health data. And (3) home member data attribution marking is carried out on the health data collected each time, so that attribution of the data can be confirmed when a plurality of persons share the same medical instrument, and the problem that the final health analysis result is unreliable due to incorrect attribution of the data is avoided. For example, if the user and the parent of the user share the same medical instrument, home member data attribution marking needs to be performed on the health data collected each time, the data measured each time by the user is identified as the health data of the user, the data measured each time by dad of the user is identified as the health data of dad of the user, and the data measured each time by mom of the user is identified as the health data of mom of the user.
As shown in fig. 4, the user data acquisition module 20 includes:
a medical instrument data acquisition unit 21 for acquiring health data measured by a user using the medical instrument.
The medical instrument comprises one or more of a blood pressure meter, a blood glucose meter, a blood lipid meter, an oxygen meter and an electrocardiograph monitor. The sphygmomanometer can be used for collecting human blood pressure information; the glucometer can be used for collecting blood sugar information of a human body; the blood lipid instrument can be used for collecting blood lipid information of a human body, and the blood oxygen instrument is used for collecting blood oxygen saturation information of the human body. It should be noted that the medical apparatus may further include a thermometer for collecting body temperature information of a human body, a scale for collecting body mass index information of a human body, and a urine analyzer for collecting urine specific gravity information and urine PH information.
The daily life habit data acquisition unit 22 comprises a daily life habit data input unit 221 and a first analysis and conversion unit 222, and after the user inputs daily life habit data from the daily life habit data input unit 221, the first analysis and conversion unit 222 converts the daily life habit data into health parameters of the daily life habit of the user. The first analysis conversion unit 222 stores a substance conversion comparison table, such as a bottle of wine, a cigarette, and the like, which correspond to a plurality of harmful components, respectively. If the user inputs that a cigarette is inhaled, the daily life habit data input by the daily life habit data input unit 221 is the measurement data of the daily habit of the user, namely "a cigarette", and the health parameter converted by the first analysis conversion unit 222 is a specific harmful component corresponding to the cigarette, and the specific harmful component is used as a standard health parameter and is provided for the subsequent user data processing module 30 to perform analysis processing.
The diet data acquisition unit 23 comprises a diet data input unit 231 and a second analysis and conversion unit 232, wherein after a user inputs diet data from the diet data input unit 231, the second analysis and conversion unit 232 converts the diet data into diet health parameters of the user; the second analysis conversion unit 232 stores a nutrient conversion table, such as what nutrient components a bowl of cooked rice and an egg respectively correspond to. If the user inputs that a bowl of cooked rice is eaten, the diet data input by the diet data input unit 231 is the measurement data of the daily habit of the user, namely, the "bowl of cooked rice", and the health parameters converted by the second analysis conversion unit 232 are the "specific nutritional components" corresponding to the bowl of cooked rice, and the "specific nutritional components" are used as standard health parameters and are provided for the subsequent user data processing module 30 to perform analysis processing.
The motion data acquisition unit 24 comprises a motion data input unit 241 and a third analysis and conversion unit 242, and after the user inputs motion data from the motion data input unit 241, the third analysis and conversion unit 242 converts the motion data into motion health parameters of the user; the third analysis conversion unit 242 stores a calorie conversion comparison table, for example, running, swimming, playing shuttlecock, etc., which respectively corresponds to how many calories are consumed, if the user inputs 5 km for 1 hour, the exercise data input by the exercise data input unit 241 is the measurement data used by the user in daily habit, i.e. "5 km for 1 hour", and the health parameter converted by the third analysis conversion unit 242 is "calories", "calories" corresponding to 5 km for 1 hour, which are used as standard health parameters, and are provided to the subsequent user data processing module 30 for analysis processing.
And the individual basic health medical record information acquisition unit 25 is used for acquiring individual basic health medical record information of the user. Such as the height, weight, blood type, blood routine, liver function, B-mode and CT images of the user, and other medical history information for a daily visit.
Preferably, as shown in fig. 5, the home health management system further includes a view authority module 70, where the view authority module 70 includes a first view authority unit 71 for deciding whether to make the personal health data and health advice visible to the family member, and a second view authority unit 72 for deciding whether to display the health data and health advice of the family member. For example, if the user does not wish to have his own health data and health advice visible to the family member, the first viewing authority unit 71 may be selected to be closed, and the user's family member no longer sees the user's health data and health advice; if the user does not wish to see the health data and health advice of the family member, the user may choose to close the second viewing authority unit 72 and the user may no longer see the health data and health advice of the family member.
Preferably, the home health management system further comprises a pushing module, wherein the pushing module is used for pushing the health data and the health advice of any one family member of the user to all other authorized family members of the user. For example, child B of user a wants to see the health data and health advice of father C of user a (i.e., child B's grandmaster), which cannot be mutually added to the respective family members because child B and child B's grandmaster do not satisfy family membership. Therefore, son B can only send the health data and the health advice of father C of the user to son B of the user through user A, so that the son B can be directly checked only by family members, the privacy and the authenticity of the data are ensured, and other irrelevant people are prevented from checking.
As shown in fig. 6, the present invention further provides a home health management method, including the steps of:
s10, setting family members of a user;
s20, a user data acquisition module acquires basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
s30, the user data processing module analyzes and processes the basic health medical record information, the health data, the daily life habit data, the diet data and the exercise data of the user acquired by the user data acquisition module;
s40, the measurement result notification module displays the measurement result data of each time and the suggestion of each measurement result processed by the user data processing module on a client;
s50, the data identification module identifies the data marked as abnormal or corrects the data marked as abnormal as normal after determining the measured data of each time by the user;
s60, the real data screening module rejects the abnormal data marked by the data marking module, so that the real data of the user are screened out, the real data of the user screened by the real data screening module are transmitted to the analysis comparison module, and then the real data of the user and various normal indexes of the healthy organism are compared and analyzed, so that the user health advice is obtained; and the health advice summarization output module is used for carrying out accumulated analysis on the user health advice output by the analysis comparison module in a preset time period, forming an analysis report according to an analysis result and outputting the analysis report to the client.
The step S50 specifically includes: the user identifies the data confirmed as abnormal by the user, the user authorizes any family member to identify the data confirmed as abnormal by the user or marks the data marked as abnormal as normal, or the user authorization system relatives and friends identify the data confirmed as abnormal by the user or marks the data marked as abnormal as normal.
The "preset time" in the step S60 may be a monthly accumulation, a quarterly accumulation, or a weekly accumulation, and the health analysis report includes health data, health advice, and the like.
As shown in fig. 7, the step S10 further includes the following steps:
s100, registering an account number by a user and verifying account number information input by a client;
s200, storing information set by a user into a database.
As shown in fig. 8, the step S10 specifically includes the following steps:
s11, setting family members of users, wherein the family membership of each user at most comprises parents of the user, brothers and sisters of the user, spouse of the user and children of the user;
s12, verifying family member information of a user, and adding verification into the family member relation of the user for the information conforming to the family member relation; if the verification does not accord with the information of the family membership, refusing to pass the verification;
s13, information sharing is carried out between the user and the family member.
The step S11 further includes the following steps:
s14, setting system relatives and friends of the user, and providing the system relatives and friends for the user, wherein the system relatives and friends are used for realizing at least the same functions as the family membership.
The step S20 of collecting basic information, health data, daily life habit data, diet data and exercise data of the user includes:
the individual basic information acquisition unit acquires individual basic health medical record information of a user;
the medical instrument data acquisition unit acquires health data measured by a user in the medical instrument;
after a user inputs daily life habit data from a daily life habit data input unit, a first analysis and conversion unit converts the daily life habit data into daily health parameters of the user;
after the user inputs the diet data from the diet data input unit, the second analysis conversion unit converts the diet data into diet health parameters of the user;
after the user inputs the motion data from the motion data input unit, the third analysis and conversion unit converts the motion data into motion health parameters of the user.
The data identification module identifies the abnormal data identified by the data identification module aiming at the judgment of the user on each measured data, and the real data screening module rejects the abnormal data identified by the data identification module so as to screen the real data of the user in the measured result notification module; after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with various normal indexes of the healthy organism, so that the user health suggestion is obtained; the health advice summarization output module performs accumulated analysis on the user health advice output by the analysis comparison module within a preset time period, forms an analysis report according to an analysis result, and outputs the analysis report to the client, so that the authenticity and reliability of user data are greatly improved, and inaccuracy of a finally obtained health analysis result due to some measured abnormal data is avoided; and the health data and the health advice of the user can only be shared between the user and the family members, thereby achieving the purpose of health supervision among the family members, effectively avoiding the user from providing false data and improving the authenticity and reliability of the data
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (7)
1. A home health management system, comprising:
a family member setting module;
the user data acquisition module is used for acquiring basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
the user data processing module is used for analyzing and processing the basic health medical record information, the health data, the daily life habit data, the diet data and the exercise data of the user acquired by the user data acquisition module;
the measurement result notification module is used for displaying the measurement result data of each time of the user and the suggestion of each measurement result processed by the user data processing module on a client;
the data identification module is used for identifying the abnormal data or correcting and identifying the data marked as abnormal as normal after the user judges the measured data each time;
the data identification module comprises:
the self-identification unit is used for identifying the data confirmed to be abnormal by the user;
an authorized family member identification unit, wherein the user authorizes any family member to identify the data confirmed to be abnormal by the user or correct and identify the data identified to be abnormal as normal;
the authorization system relatives and friends identification unit identifies data confirmed to be abnormal by a user or corrects and identifies the data identified to be abnormal as normal;
the data identification module further comprises home member data attribution marking of the health data collected each time, and identifies the health data measured by all non-home members as health data of system relatives and friends;
the accumulated data analysis suggestion module comprises a real data screening module, an analysis comparison module and a health suggestion summarization output module; the real data screening module is used for removing the abnormal data marked by the data marking module so as to screen out the real data of the user in the measurement result notification module; the analysis comparison module stores various normal indexes of the healthy organism, and after the real data of the user screened by the real data screening module is transmitted to the analysis comparison module, the real data of the user is compared and analyzed with the various normal indexes of the healthy organism, so that the health suggestion of the user is obtained; and the health advice summarization output module is used for carrying out accumulated analysis on the user health advice output by the analysis comparison module in a preset time period, forming an analysis report according to an analysis result and outputting the analysis report to the client.
2. The home health management system of claim 1, wherein the family member setting module comprises:
a family membership unit, the family membership of each user including at most a parent of the user, a sibling of the user, a spouse of the user, and a child of the user;
a verification unit configured to verify family member information that becomes a user, and for information conforming to the family member relationship, verify by adding to the family member relationship; if the verification does not accord with the information of the family membership, refusing to pass the verification;
and the information sharing unit is used for sharing information between the user and the family member.
3. The home health management system of claim 2, wherein the family member setting module further comprises a system friendly unit for providing a user with a system friendly for performing at least the same function as the family membership.
4. The home health management system of claim 1, wherein the user data collection module comprises:
the medical instrument data acquisition unit is used for acquiring health data measured by a user by using a medical instrument;
the system comprises a daily life habit data acquisition unit, a first analysis conversion unit and a second analysis conversion unit, wherein the daily life habit data acquisition unit comprises a daily life habit data input unit and a first analysis conversion unit, and after a user inputs daily life habit data from the daily life habit data input unit, the first analysis conversion unit converts the daily life habit data into health parameters of daily life habits of the user;
the diet data acquisition unit comprises a diet data input unit and a second analysis conversion unit, wherein after a user inputs diet data from the diet data input unit, the second analysis conversion unit converts the diet data into diet health parameters of the user;
the motion data acquisition unit comprises a motion data input unit and a third analysis conversion unit, and after a user inputs motion data from the motion data input unit, the third analysis conversion unit converts the motion data into motion health parameters of the user;
and the individual basic health medical record information acquisition unit is used for acquiring the individual basic health medical record information of the user.
5. A home health management method, comprising the steps of:
step A, setting family members of a user;
step B, a user data acquisition module acquires basic health medical record information, health data, daily life habit data, diet data and exercise data of a user;
step C, the user data processing module analyzes and processes the basic health medical record information, the health data, the daily life habit data, the diet data and the exercise data of the user acquired by the user data acquisition module;
step D, the measurement result notification module displays the measurement result data of each time of the user and the suggestion of each measurement result processed by the user data processing module on a client;
e, the data identification module identifies the data marked as abnormal or corrects the data marked as abnormal as normal after judging the measured data of each time by the user;
the step E specifically comprises the following steps: the user identifies the data confirmed as abnormal by the user, the user authorizes any family member to identify the data confirmed as abnormal by the user or correct and identify the data marked as abnormal as normal, or the user authorization system relatives and friends identify the data confirmed as abnormal by the user or correct and identify the data marked as abnormal as normal;
the data identification module further comprises home member data attribution marking of the health data collected each time, and identifies the health data measured by all non-home members as health data of system relatives and friends;
step F, the real data screening module rejects the abnormal data marked by the data marking module, so that the real data of the user are screened out, the real data of the user screened by the real data screening module are transmitted to the analysis comparison module, and then the real data of the user and various normal indexes of the healthy organism are compared and analyzed, so that the user health advice is obtained; and the health advice summarization output module is used for carrying out accumulated analysis on the user health advice output by the analysis comparison module in a preset time period, forming an analysis report according to an analysis result and outputting the analysis report to the client.
6. The home health management method according to claim 5, wherein the step a specifically comprises the steps of:
a1, setting family members of users, wherein the family membership of each user at most comprises parents of the user, brothers and sisters of the user, spouse of the user and children of the user;
a2, verifying family member information of a user, and adding verification into the family member relation of the user for the information conforming to the family member relation; if the verification does not accord with the information of the family membership, refusing to pass the verification;
and step A3, information sharing is carried out between the user and the family member.
7. The home health management method as set forth in claim 6, wherein the step A1 is preceded by the step of:
and A0, setting a system parent of the user, and providing the system parent for the user, wherein the system parent is used for realizing at least the same function as the family membership.
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| WO2018205193A1 (en) * | 2017-05-11 | 2018-11-15 | 深圳市永盟智能信息系统有限公司 | Family health management system and method |
| EP3843102A4 (en) * | 2018-08-23 | 2021-09-29 | NEC Solution Innovators, Ltd. | Health management assistance device, health management assistance method, health management assistance terminal, and program |
| CN109360653A (en) * | 2018-11-02 | 2019-02-19 | 深圳壹账通智能科技有限公司 | Health data analysis method, device and computer equipment neural network based |
| CN111063427A (en) * | 2019-11-29 | 2020-04-24 | 五邑大学 | Health data acquisition method and management system |
| CN112450120B (en) * | 2020-11-26 | 2022-08-05 | 小佩网络科技（上海）有限公司 | Pet weight recording method and device, pet toilet and medium |
| CN112859635A (en) * | 2021-01-22 | 2021-05-28 | 广州富港万嘉智能科技有限公司 | Self-adaptive service method based on intelligent home system and intelligent home system |
| CN114446427A (en) * | 2021-12-28 | 2022-05-06 | 海信集团控股股份有限公司 | Electronic equipment and health data attribution identification method |
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