JP7054166B2 - Health support system - Google Patents

Description

The present invention relates to a health support device and a health support system, and more particularly to a health support device and a health support system for verifying the validity of a hypothesis that is said to be good for the body.

In Patent Document 1, the nth mission data including a plurality of missions by the applicant is transmitted to a plurality of user terminals, and the nth mission data is transmitted from each user who has executed the nth mission data. Improvement is seen in the nth interview data in consideration of the means for receiving the user's mission achievement rate related to the nth mission data and the user's mission achievement rate related to the nth mission data. When there is an inquiry item to be asked, the n + 1st mission data in which the load of at least one of the plurality of missions is increased is transmitted to the user terminal, and the user who has executed the n + 1th mission data. Considering the means for receiving the n + 1th interview data and the user's mission achievement rate related to the n + 1th mission data and the user's mission achievement rate related to the n + 1th mission data, which are transmitted from each of the above n + 1 A hypothesis verification device including a means for determining that the one mission contributes to the improvement of the interview item when further improvement is found in the inquiry item in the second inquiry data is disclosed. According to Patent Document 1, it becomes possible to know with a very high degree of certainty what kind of user each mission is preferable, and this is an incentive for the user to carry out a mission that is beneficial to him / herself. Has the effect of working.

Japanese Patent No. 6152313

The invention disclosed in Patent Document 1 has made it possible to give a user an incentive to carry out the mission by providing the user with a mission useful to the user, but the mission is continued. It turned out that there is room for improvement in terms of achieving the goal.

In fact, if the missions that are beneficial to the user are not continuously used by the user, the effect of improving the health condition will be limited. Therefore, it is important to improve in order to carry out the mission continuously.

Therefore, it is an object of the present invention to provide an incentive for a user to continuously perform a mission useful for the user in order to improve the health condition based on useful information.

The present inventor simply describes the position of the user's health condition relative to the health condition of other users by visualizing the health in order to continuously carry out the mission. I came to think that it would be useful to inform the user of the good or bad health condition, and it was found that certain results can be obtained by conducting research from this point of view.

That is, the health support device of the present invention for solving the above problems is
Receiving means for receiving health inquiry data from each user, including personal data such as the user's own age, gender, height, weight, etc.
A specific means for identifying a group based on the attribute of the user from the interview data received by the receiving means, and a specific means.
It is provided with a notification means for notifying other users belonging to the group of interview data of a specific user belonging to the group specified by the specific means or information based on the inquiry data.

By doing so, it is possible to notify a certain user of the health condition of a specific user who shares personal data with that user. For example: ・ If a user with good health condition is selected as a specific user in the group, It would be possible to give an incentive to improve the health condition of the specific user.
-If a user who is close to the median or average value is selected when the health condition is quantified in the group as a specific user, if the quantified health condition is worse than that user, the user will be forced to exceed it. If the quantified health condition is better than that, it will be possible to give an incentive to maintain the status quo or aim for further improvement.
・ As a specific user, if the user who has a lot in common is selected by comparing the initial interview data with each other in the group, if the current health condition of the user is better than the initial one, the user is targeted. It could provide incentives to try to improve health and to improve health.
-If a user is randomly selected in the group as a specific user, for example, if there is a part where the health condition is inferior to that user, that part will be corrected, and if there is a part that is not inferior. , At least that part could be given an incentive to maintain the status quo.

The interview data includes the user's usual eating habits, for example, the frequency of eating out and the frequency of eating lunch boxes sold at convenience stores. In addition, the interview data includes some of the activity levels including the presence or absence of a normal headache, the presence or absence of a normal abdominal pain, the ease of catching a cold, the presence or absence of a habit of moving the body, and the like.

Further, the health support system of the present invention is
With the above health support device,
A hypothesis verification device that identifies the mission to be performed by the other user,
To prepare for.

It is a schematic block diagram of the health support system of embodiment of this invention. FIG. 1 is a diagram showing an example of medical examination data and the like of each user of Group A registered in the medical examination data and the like DB 400 of FIG. 1. It is a figure which shows the example of the medical examination data and the judgment result of each user of the group A created by the creation means 260 of FIG. It is a flowchart which shows the operation about hypothesis verification among the operation of the administrator server 200 shown in FIG. It is a flowchart which shows the operation about hypothesis verification among the operation of the administrator server 200 shown in FIG. It is a figure which shows the example of the comparison table which is notified to the user which is made by the making means 260 of FIG.

100 User terminal 200 Administrator server 210 Communication means 220 Group identification means 230 Mission data selection means 240 Registration means 250 Judgment means 260 Creation means 300 Attribute-Mission database (Attribute-Mission DB)
400 Questionnaire data database (questionnaire data DB)
500 administrator terminal

Embodiment of the invention

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In this specification, first, the description about specifying the mission to be performed by the user will be described, and then the description regarding the continuous execution of the specified mission by the user will be described.

FIG. 1 is a schematic configuration diagram of a health support system according to an embodiment of the present invention. FIG. 1 shows a user terminal 100, an administrator server 200, an attribute-mission database (hereinafter referred to as “attribute-mission DB”) 300, and an interview data database (hereinafter, “interview data”, which will be described below. Etc. DB ".) 400 and the administrator terminal 500 are shown.

The user terminal 100 is a terminal operated by the user, and mainly receives mission data including a plurality of hypothetical missions transmitted from the administrator server 200, and after the user executes the mission, the user terminal 100 is the terminal. It sends the user's interview data. The user terminal 100 can be a mobile phone, a smartphone, a personal computer, or the like capable of performing wireless or wired communication with the administrator server 200. The user terminal 100 may be a portable terminal such as a smartphone or a notebook personal computer, or may be a stationary terminal such as a desktop personal computer.

The administrator server 200 is a server managed by the administrator of the health support system of the present embodiment. The administrator server 200 plays a role as a hypothesis verification device and a role as a health support device. The administrator server 200 includes communication means 210, group identification means 220, mission data selection means 230, registration means 240, determination means 250, and creation means 260, which will be described below. The function by each of these means may be realized, for example, by the cooperation between the CPU and the memory.

The communication means 210 receives various data such as medical examination data transmitted from the user terminal 100, and also transmits various data such as mission data to the user terminal 100. In addition, the interview data includes personal data such as gender, age, weight, etc., drinking amount, smoking amount, etc., if possible, to be answered by the subject or patient at the time of health examination or initial examination conducted at a hospital or the like. In addition, various attribute data such as blood pressure, blood pressure level, good / bad awakening, presence / absence of headache / abdominal pain, presence / absence of chronic illness, easiness of catching a cold, presence / absence of habit of moving the body, etc. It is made to be included as appropriate. In addition, the user's usual eating habits, such as the frequency of eating out and the frequency of eating lunch boxes sold at convenience stores, can be included.

The group specifying means 220 identifies a group based on the attribute of the user from the interview data received by the communication means 210. The user's attributes are attributes related to the user's personal data such as gender, age, and weight, and the group is, for example, "a" thin "" male in his thirties "and" smoke about 10 cigarettes a day ". , "Aware of bad awakening" Group A ",""Women in their 40s" of "Obese type", "Drink 3 bottles of beer and 3 cups of sake a week" Group B "," Fighter type " This refers to a group that is divided into "Group C," which is a "male in his twenties" and "aware that he is prone to catch a cold." In addition, instead of grouping according to such detailed conditions, for example, grouping may be performed only by gender / age (age), or grouping may be performed under the conditions shown in the following examples.

Here, even if researchers try to solicit monitors to verify the validity of the mission, they usually collect tens of thousands of monitors, which is sufficient to realize the above-mentioned subdivided groups. That is very difficult. Therefore, it is not possible to realize such a subdivided group, such as "a group of thin men in their thirties", "a group of obese women in their forties who drink a little", and "a group of men in their twenties of warriors". It can only be divided into groups.

However, in the case of the health support system of the present embodiment, only the user terminal 100 needs to be operated, and the total number of users is very large in view of today's network progress and the penetration rate of user terminals. It is possible to easily realize a subdivided group such as.

The mission data selection means 230 refers to the attribute-mission DB 300 based on the group information specified by the group identification means 220, and selects the mission data corresponding to the group information. Further, in the mission data selection means 230, when the medical examination data is transmitted from the user terminal 100 after the mission is completed, the mission data selection means 230 is next based on the achievement rate of the mission included in the medical examination data, the change of the attribute in the medical examination data, and the like. It selects the mission to be imposed on the user.

The registration means 240 registers various data such as the medical examination data received by the communication means 210 in the medical examination data and the like DB 400. Specifically, each user belonging to each group is registered by associating the medical examination data and the like with each other over time.

The determination means 250 determines whether or not there is a change in the attribute in the user's interview data due to the execution of the mission data selected by the mission data selection means 230. The determination means 250 determines whether or not there is a change in the user's attributes, mainly for each group to which the user belongs, in consideration of the achievement rate of the mission for each user, based on various data registered in the DB 400 such as medical examination data. ..

Specifically, for example, among users whose mission achievement rate is 70% or more, if there is an attribute in the interview data that is commonly improved by many users, it is at least one of the missions, or , It is thought that some combined missions have contributed. Therefore, one effective mission or a combination of several missions can be identified by deleting or changing one of those missions to another.

The creating means 260 performs various processes for displaying the determination result by the determination means 250 on the display of the administrator terminal 500. As the processing by the creating means 260, for example, the determination result can be graphed, quantified, or processed in a processable manner based on the instruction of the administrator. Further, the creating means 260 creates a comparison table or the like to notify the user, including the medical examination data of a certain user and the medical examination data of a specific user belonging to the same group as the user.

The specific user is not limited to these, but can be, for example, a user who is in good health within the above group, and is an intermediate value or an average value when the health condition is quantified within the above group. It can be a user close to, a user who has a lot in common by comparing the initial interview data with each other in the above group, or a user randomly selected in the above group.

In the attribute-mission DB 300, the user's attribute and the mission data are registered in correspondence with each other. For example, for the attributes of group A,
(1) Eat salad at least once a week
(2) Use stairs rather than elevators and escalators
(3) The number of cigarettes is limited to 5 cigarettes a day.
It is conceivable that mission data such as will be registered accordingly. As shown in this example, in the present embodiment, first, the user is imposed with mission data consisting of a plurality of missions that are considered to be good for the body, typically based on the attributes.

In addition, multiple mission data are prepared for one attribute, and based on the mission achievement rate included in the interview data, the load is gradually applied or the validity of the hypothesis is changed for verification. The contents are such as. In addition, by appropriately changing the mission, the user is given a sense of accomplishment like a game, and the health support system of the present embodiment is continuously used. Furthermore, in order to carry out the mission continuously, we have devised as described later.

In the medical examination data and the like DB 400, various data such as the medical examination data are registered over time. Further, in the health support system of the present embodiment, the achievement rate of the mission by the user is transmitted through the user terminal 100 separately from the medical examination data, and the medical examination data and the like DB 400 is provided with the medical examination data as well as the achievement rate. It is designed to be registered.

The administrator terminal 500 is a terminal operated by the administrator of the health support system of the present embodiment. The administrator terminal 500 is not limited to this, and for example, a desktop personal computer or the like can be used.

For example, FIG. 1 shows an example in which the attribute-mission DB 300 and the medical examination data DB 400 are provided outside the administrator server 200, but any one or at least one of these DB 300 and 400 is provided. , May be provided inside the administrator server 200.

FIG. 2 is a diagram showing an example of medical examination data and the like of each user of Group A registered in the medical examination data and the like DB 400 of FIG. In FIG. 2, as an example, "mission achievement rate", "gender", "age", "weight", "blood sugar level", "blood pressure", "sleeping" good and bad, "awakening" good and bad, "drinking amount" , "Smoking amount" is shown. It should be noted that these items are examples, and as described above, the presence or absence of a headache, the presence or absence of a chronic disease, and the like may be provided.

In this embodiment, in order to simplify the input of the medical examination data by the user, the answer column of the medical examination data is set as five options, and an example in which the corresponding numerical values are registered is shown. Specifically, for example, for gender, "1" corresponds to male and "2" corresponds to female, and for weight, "1" is too thin, "2" is slightly thin, and "3" is. Usually, there are options such as "4" being overweight and "5" being overweight. In general, the better the options are, the higher the value is set (in the above example, "normal" is 5 points, "too thin" is 0 points, "slightly thin" is 3 points, and so on. ), For example, 100 interview data
It is also effective to quantify the numerical value with a perfect score, which leads to the numerical target of the user.

FIG. 3 is a diagram showing an example of interview data and the like and determination results of each user of Group A created by the creating means 260 of FIG. The arrow shown in FIG. 3 is created based on the change of the data example shown in FIG. Here, it is shown that the good and bad of "awakening" has improved for users with a high "achievement rate".

Here, for Group A,
(1) Eat salad at least once a week
(2) Use stairs rather than elevators and escalators
(3) The number of cigarettes is limited to 5 cigarettes a day.
As a result, it is assumed that many users with a high achievement rate have improved the good and bad of "awakening" as shown in FIG. In this case, it will be determined that at least one of these missions has contributed.

Therefore, in this case, the administrator may select, for example, for a user whose selection target by the mission selection means 230 has a high achievement rate of the first mission.
(1) Eat salad at least "2" times a week
(2) Use stairs rather than elevators and escalators
(3) The number of cigarettes is limited to 5 cigarettes a day.
Set the selection conditions so that it will be the second mission.

Further, after that, the administrator further, for example, for a user whose selection target by the mission selection means 230 has a high achievement rate of the second mission, for example.
(1) Eat salad at least twice a week
(2) Use stairs rather than elevators and escalators
(3) The number of cigarettes is limited to "3" per day.
Set the selection conditions so that it will be the third mission.

As a result, if, among the users with high achievement rates, "awakening" did not change dramatically after the second mission, but changed dramatically after the third mission. Will give a judgment result that the reduction of the number of cigarettes may contribute to the users belonging to Group A rather than the number of times of eating salad per week.

Furthermore, the administrator, for example, for a user who has a high achievement rate of the third mission, for example.
(1) Eat salad at least twice a week
(2) Elevators and escalators are "in principle not used at all",
(3) The number of cigarettes is limited to 3 cigarettes a day.
Set the selection conditions so that it will be the fourth mission.

If many of the users with high achievement rates "wake up" are further improved in the subsequent interview data, the "wake up" is better for the users belonging to group A by increasing the appropriate amount of exercise. It will be possible to conclude that it will be. By repeating this kind of work, it becomes possible to know with a very high degree of certainty what kind of user each mission is preferable to, which gives the user an incentive to carry out the mission. It also has the effect of becoming.

However, the above 1st to 4th missions are examples, and for example, instead of the mission such as "use the stairs rather than the elevator and escalator", the mission data including the mission "run once a week" is available. The mission selection condition may be set so that the content is selected, or the mission data may be set as the condition to be selected for the fifth time thereafter. It is not essential that the number of missions is three, but it may be about five. However, if the number is too large, the mission achievement rate will decrease, so it is preferable to set the number to about 3 to 5.

This also leads to understanding which of the exercises that are relatively stressful once a week and the exercises that are relatively lightly loaded on a daily basis contribute to "awakening" and the like. there is a possibility.

Suppose that the 5th mission is (1) Eat salad at least twice a week,
(2) Run once a week
(3) The number of cigarettes is limited to 3 cigarettes a day.
If many of the users with high achievement rates do not improve their "awakening", then "awakening" is a relative load rather than a relatively stressful exercise such as running. It will be judged that it is preferable to carry out continuous exercise every day.

Also, if as a result of performing the fifth mission, many of the users with a high achievement rate have improved their "sleeping", it can be assumed that running about once a week contributes to the goodness of "sleeping". I can do it.

Therefore, in this case, the sixth mission is (1) Eat salad at least twice a week.
(2) Run "2" times a week,
(3) The number of cigarettes is limited to 3 cigarettes a day.
The selection condition may be set so as to have such contents.

As a result, if many of the users with high achievement rates "sleep" became even better, the seventh mission was to change "running" 2 "time a week" to "running" 3 "time a week". You may set the selection conditions of the given mission. As a result, if many of the users with a high achievement rate do not see any change in "sleeping", it will be judged that it is sufficient to run twice a week to improve "sleeping". Let's go.

In addition, here, for the sake of easy understanding of the explanation, a relatively rough mission example is shown here, and of course, a mission of this degree may be used. For example, when it comes to running, a jog is performed every time. It can be a relatively detailed mission, such as performing for about 20 minutes at a speed of about 20 minutes.

4 and 5 are flowcharts showing the operations related to hypothesis verification among the operations of the administrator server 200 shown in FIG. 1. Based on FIGS. 4 and 5, the operation of the health support system shown in FIG. 1 will be described by taking as an example a case where a smartphone is used as the user terminal 100.

First, the user downloads the application software for the health support system by operating the user terminal 100, and installs the application software on the user terminal 100. After that, if the user starts the application software, inputs communication information such as name, gender, age, and e-mail address, and presses the send button, the administrator server 200 is requested to send a questionnaire. Is done.

In the administrator server 200, when the communication means 210 receives the questionnaire transmission request from the user terminal 100 (step S11), the questionnaire data prepared in advance is the user terminal 100 of the questionnaire transmission request source. Is transmitted to (step S12).

After that, the questionnaire data is received in the user terminal 100, and if the user inputs his / her own inquiry data into the user terminal 100 and presses the send button, the user terminal 100 sends the administrator server 200 to the administrator server 200. Interview data is sent.

In the administrator server 200, when the medical examination data is received by the communication means 210 (step S13), the group specifying means 220 specifies a group based on the attributes of the user based on the contents of the medical examination data (step S13). Step S14).

Subsequently, in the administrator server 200, the mission data selection means 230 refers to the attribute-mission DB 300 based on the group information, and selects the mission data corresponding to the group information (step S15). The mission data is transmitted to the user terminal 100 by the communication means 210 (step S16).

After that, in the administrator server 200, communication information such as name, gender, age, and e-mail address sent from the user terminal 100 at the time of requesting transmission of the questionnaire sent from the user terminal 100 is stored in the interview data and the like DB 400 together with the inquiry data. Register in (step S17).

By the above processing, the initial processing such as membership registration in the health support system of this embodiment is completed.

After that, it is assumed that the user carries out the mission given by the administrator server 200, newly inputs the inquiry data into the user terminal 100, and transmits the inquiry data to the administrator server 200. In such a case, in the administrator server 200, when the inquiry data is received by the communication means 210 (step S21), the attribute-mission DB 300 is referred to by the mission data selection means 230 and transmitted together with the inquiry data. The next mission data is selected based on the mission achievement rate (step S22).

Specifically, in this embodiment, for example, if the mission achievement rate is 50% or more, the next mission is given to the user, while if the mission achievement rate is less than 50%, the same mission is continued. I try to give it to the user. Therefore, the next mission referred to here is, for example, when the achievement rate of the mission is less than 50%, the same mission as the mission given to the user immediately before, or the user before that. It shall also include the case where the mission is the same as the mission given to. Moreover, as described above, the example of the next mission can be, for example, one in which a load is applied to one of the missions.

This is created by the creation means 260 described later, and allows the administrator to set the attribute-mission DB 300 based on the content displayed on the display of the administrator terminal 500. The next mission data is transmitted to the user terminal 100 by the communication means 210 (step S23).

After that, the administrator server 200 registers the medical examination data transmitted from the user terminal 100 in the medical examination data and the like DB 400 (step S24). Next, the administrator server 200 confirms whether a predetermined period has elapsed since the previous determination process (step S25). As a result of the confirmation, if the predetermined period has not elapsed, the process proceeds to step S21, and if the predetermined period has elapsed, the determination means 250 makes a determination (step S26).

Specifically, the determination means 250 has passed three months or more from the start of use of this health support system for each group to which the user belongs, based on various data registered in the DB 400 such as medical examination data. At the same time, only the medical examination data whose mission achievement rate in the last 3 months is 70% or more is extracted, and it is determined whether or not there is a change in the attributes in the medical examination data.

As a result, it is possible to eliminate the influence of the medical examination data that has not been improved yet because it is the medical examination data immediately after the start of the mission, and the influence of the medical examination data that the achievement rate of the mission is low and no improvement is seen.

And, of the extracted interview data, if the above-mentioned arrow exceeds 70% in that item, for example, at least one of the multiple missions, or a combination of several missions contributes. The judgment result is that it is done.

Subsequently, the creating means 260 performs various processes for displaying the determination result by the determining means 250 on the display of the administrator terminal 500 so that the administrator can view the determination result, and creates the display data. In addition, the administrator will be able to create a new mission by viewing the judgment result.

FIG. 6 is a diagram showing an example of a comparison table created by the creating means 260 of FIG. 1 and notified to the user. The timing of notifying the user of the comparison table shown in FIG. 6 is not limited to these, but either when the user uses the system for the first time, then on the same day of every month, or when there is a request from the user. It is conceivable to do everything. In particular, if the notification is made on the same day every month, it is possible to give regular health advice according to the result of the medical examination, which is suitable for the user.

FIG. 6A shows an example of the health condition of a user who belongs to the group A and uses the health support system of the present embodiment for the first time (hereinafter, referred to as “user a” for convenience). FIG. 6B shows an example of the health condition of a user who belongs to the group A and has the best health condition in the group (hereinafter, referred to as “user b” for convenience). FIG. 6 (c) shows the mission data that the user a wants to continue, the mission that the user b continuously performed, and an example of the result.

The items shown in FIGS. 6 (a) and 6 (b) are examples and are not limited to these, but here, items of health condition related to headache, items of health condition related to abdominal pain, and cold. I try to create a correspondence table from the items of health condition related to and the items of health condition related to daily activities.

The contents of these items are created based on the interview data transmitted from the user a and the user b, respectively. Other items may be used in place of or in combination with the items shown in FIG. As an example, the healthy age can be calculated based on the "comprehensive" score and used in place of the "comprehensive" score.

Hereinafter, it is assumed that the user a and the user b belong to the same group because they have the same gender, the same age of birth, and the health condition related to abdominal pain was originally poor. When the content shown in 6 is displayed on the display attached to the user terminal 100 of the user a, the health condition of the user a is relatively poor compared to the health condition of the user b. a You will notice yourself.

Here, the user a has a poor health condition regarding abdominal pain, a total score of 63 points (out of 100 points), which is not a particularly excellent score, and a deviation value of 49, which is less than 50. , Of the 10903 users belonging to Group A, it is ranked 6481th, so it is considered that there will be an incentive to improve the health condition because the health condition is not good.

Looking at FIG. 6 (b), for any of the items of headache, abdominal pain, cold, and activity related to user b, from the scores based on the interview data received when the health support system of the present embodiment was first used. Therefore, it is considered that the user a notices that the health condition is improved if the mission is continuously carried out.

In particular, since there are many points of agreement and commonalities between the user a and the user b not only in terms of gender and age but also in the health condition immediately after the start of using this system, they are shown in FIG. 6 (c). If the mission is continuously carried out, the user a is considered to be in an excellent health condition like the user b, so that an incentive to continuously carry out the mission should be provided.

Here, the activity level of the user a and the initial activity level of the user b are both 0 points, which is based on the calculation formula used for calculating the scoring in the present embodiment. That is, here, what kind of activity the user has performed after acquiring the first medical examination data is quantified. Therefore, these are only 0 points, and the score may be calculated based on the result by asking whether or not the body is moving on a daily basis using the medical examination data.

The activity level may be calculated based on the action content manually input by the user to the smartphone or mobile phone which is the user terminal 100, or in advance or after the smartphone or the like in view of the penetration rate of the smartphone or the like today. It may be calculated using the pedometer function installed on the smartphone.

When using the pedometer function, by measuring the number of steps on a daily basis, the average number of steps, maximum number of steps, and minimum number of steps per unit period such as daily, weekly, and monthly are acquired, and the average number of steps is used as a reference. It can be scored by judging whether the degree is high or low, and counting as "+1" on high days and "-1" on low days.

In addition, if the number of steps on the user's holiday is also acquired, typically on Saturdays and Sundays, it is generally considered that the number of steps on the holiday is less than the number of steps on the weekday. It is advisable to manage the number of steps and the number of steps on weekdays separately and calculate the activity level of each.

Further, if the day exceeds the maximum number of steps, or if there is an increase of, for example, 20% or more with respect to the average number of steps, it can be estimated that there was a sudden action described later. In this case, it may be set to "+2", for example. On the other hand, if the number of steps is less than the minimum number of steps, or if there is a decrease of, for example, 20% or more with respect to the average number of steps, it can be estimated that there was an outpatient visit described later. In this case, it may be set to "-2", for example.

As described above, the activity level may be calculated based on the action content manually input by the user to the smartphone or mobile phone which is the user terminal 100, but this forces the user to manually input. This puts a load on the user, and the utilization rate of this system may decrease. Therefore, it is preferable to calculate the activity level using the pedometer function or the like.

By doing this, it is possible to avoid putting a load on the user, and even if the user is in poor physical condition such as illness or the user is busy due to work, etc. There is an advantage that the activity level is continuously recorded.

Further, in the health support system of the present embodiment, not only smartphones and the like, but also, for example, personal computers, video games, and the number and frequency of use of IT devices and AV devices are used to calculate the activity level. I am using it. Specifically, the number of actions taken by the user on the IT device or the like, such as turning on the power of the IT device or the like or logging in to a predetermined position via the network, can be used. This is because physical activity is not the only way to improve activity.

Furthermore, if the activity is calculated in consideration of the time until the power is turned off or logged out, the activity becomes more accurate and is called "± 1" or "± 2". It can also be calculated according to the degree. For this purpose, the user terminal 100 is connected to an IT device or the like, and when the power of the IT device or the like is turned on or the like, a signal to that effect is transmitted to the user terminal, based on the number of times and time. It should be calculated.

In addition, it is also useful to use the user's sleep time, meal amount, hospital movement, sudden behavior, etc. to calculate the activity level.

The sleep time of the user can be predicted by using the alarm function of the smartphone or the like, which is the user terminal 100, and the GPS function. The amount of food consumed by the user can be predicted by using an imaging function provided on a smartphone or the like by comparing the photographed data of the meal provided to the user with the photographed data of the food. Whether or not to move to the hospital can be predicted based on the GPS function provided in the smartphone or the like and the map application software.

As a reminder, moving to a hospital is a highly active activity because if the user is ill, it is an active action to cure it. In addition, in order for the system to properly determine the user's health condition, it is advisable to grasp the onset history, hospital visit history, and the presence or absence of chronic condition.

By doing so, for example, when the user wants to view the onset history at an arbitrary timing, it becomes possible to deal with it. Further, if the user a has a chronic disease, a person having the same chronic disease can be selected instead of selecting a healthy person as the user b. Such filtering is used, for example, when the user b is young, such as in his teens or twenties, and when there are circumstances such as playing competitive sports, such a user is not selected as the user b. It is also effective.

It is difficult for this system to grasp the presence or absence of a chronic disease unless the user is asked to input it, but the onset history and the like can be predicted by this system in addition to being input by the user. Even if the user is asked to input, it is necessary to consider the timing for prompting the input. This is because it may be a burden on the user to operate the smartphone or the like during medical treatment.

Predictions in this system can be made using the pedometer function. That is, it is expected that the number of steps will decrease if the patient is being treated for illness, and the number of steps will increase to near the average if the illness is cured a few days later. You may have a question such as "Did you feel sick even though your steps were low?"

In addition, as a sudden action, for example, an action such as going on a trip, watching a sport or watching a movie, which is not usually done, can be mentioned. As a result, it is considered that such an action has a positive effect on the mind and body of the user, so it can be said that the action has a high degree of activity. The presence or absence of sudden behavior may be determined by input from the user or by using a smartphone or the like, as in the case of going to the hospital.

In particular, it is preferable to determine the presence or absence of sudden behavior using a smartphone or the like, because it is possible to acquire where and what is being done without bothering the user. However, for example, when you are on the tennis court, you cannot immediately know whether you are playing tennis or watching tennis. In general, playing tennis should be more active than watching tennis, so it is useful and practical to identify which of these is.

Therefore, in the present embodiment, when it is specified that the user is on the tennis court by the GPS function and the map application software, the above specification is performed in consideration of the step count information obtained from the pedometer. There is.

Specifically, when playing tennis, the possibility of putting a smartphone etc. in the pocket is not zero, but this possibility is not so high, so for example, the number of steps at all for tens of minutes. If the total does not count the number of steps, it may be determined that the player is playing tennis, and if not, it may be determined that the player is watching tennis. Further, if it is difficult to determine any of these, the user may be selectively inquired.

Similarly, even when the user moves only within a predetermined range for a certain period of time or longer, such as when the user is browsing an exhibit such as a painting in a museum, the GPS function and the map application software allow the user to move. It is also possible to identify the current location of the activity and determine the level of activity.

Furthermore, in recent years, in order to make effective use of the rooftop of a building, for example, some department stores have a futsal ground on the rooftop. Normally, it would be difficult to determine whether the user is visiting the department store for shopping or futsal purposes, but in this embodiment, the GPS function and the map application software are used to determine the user's current location. The above determination is made by detecting not only the presence or absence of slight movement of the smartphone or the like in a short time such as 1 minute to 2 minutes.

Specifically, for example, if the movement of the smartphone or the like is not confirmed by the GPS function of the smartphone or the like for 10 minutes, it is highly possible that the user is playing futsal with the smartphone or the like in the bag. Since it can be assumed, it is determined that the player is playing futsal in this case.

On the other hand, for example, when the movement of the smartphone or the like is confirmed by the GPS function of the smartphone or the like every 1 to 2 minutes, some tenant shops or the like with the smartphone or the like in the bag by the user. Since it can be assumed that there is a high possibility that the product is being determined while moving, it is determined that the user is shopping in this case.

However, although it is selective, it may not be possible to immediately determine which of these cases applies. In such a case, the user may be inquired as in the case of tennis. There is no question about how to make an inquiry, and if it cannot be determined, the inquiry may be made immediately or after a certain period of time has passed.

Furthermore, it may be performed at the same time when requesting the next interview data. In particular, if it can be confirmed that the behavior pattern is the same on a regular basis, in the above example, it is highly likely that futsal is being performed. If you make an inquiry such as "Are you playing futsal on the roof?", Depending on the answer, the user may say "On the roof of the XX department store, every Saturday from 15:00 to 1". If there is a reply that "I am playing futsal for a while", then if the user confirms that the user has gone to the XX department store with the GPS function and map application software, extra judgment processing will be performed during this time period. It is possible to calculate the activity level without any need.

In addition to the correspondence table shown in FIG. 6, for example, it may be regular or irregular, but once or several times every month or year, interview data is given to the user in order to acquire the health condition at that time. May be prompted to send to indicate the health status based on the interview data and the health status based on the interview data acquired so far.

By doing so, the user a will be able to grasp this result numerically because the health condition will be improved as long as the mission is continuously executed, and thereby the mission will be further enhanced. There will be an incentive to continue to carry out.

According to this system, incentives can be given to users to continuously carry out missions, but in addition to this, big data on health status can be acquired for each of the above-mentioned groups. It is possible to obtain a secondary effect such as, and it is also possible to obtain a secondary effect of contributing to the early acquisition of reliability regarding the usefulness of mission data.

In the present embodiment, a case where a smartphone is used as the user terminal 100 has been described as an example, but when a personal computer is used, the medical examination data and the like may be transmitted to the administrator server 200 through a browser.

Claims (5)

Receiving means for receiving health inquiry data from each user, including personal data such as the user's own age, gender, height, weight, etc.
A group specifying means for specifying a group based on the attribute of the user from the interview data received by the receiving means, and a group specifying means.
It has a health support device provided with a notification means for notifying other users belonging to the group of medical examination data of a specific user belonging to the group specified by the group specifying means or information based on the interview data.
The current location specifying means for specifying the current location of the user terminal body based on the GPS function and the map application software possessed by the user terminal of each user, and
A determination means for determining whether or not the current location of the user terminal body specified by the current location specifying means moves within a predetermined time, and a determination means.
A calculation means for calculating the level of activity according to the judgment result by the judgment means, and a calculation means.
A notification means for notifying the user of the calculation result by the calculation means, and
Health support system with. When it is confirmed that the current location has the same behavior pattern periodically within the predetermined time, an inquiry means for making an inquiry necessary for calculating the level of activity is provided.
The health support system according to claim 1, wherein the calculation means calculates the level of activity according to the response result to the inquiry by the inquiry means instead of the determination result by the determination means. The health support system according to claim 1, wherein the calculation means also calculates the level of activity based on the action content manually input to the user terminal. The health support system according to claim 1, wherein the calculation means also calculates the level of activity based on the number of times and frequency of use of the device including the user terminal. The health support system according to claim 4, wherein the calculation means further calculates the level of activity in consideration of the time from the start to the end of use of the device.

Images