JP5112030B2 - Health care support device and health care support program - Google Patents

Description

  The present invention relates to a health management support apparatus and a health management support program that are useful for promoting health management by a user.

In general, a hospital diagnosis is a diagnosis based on the current situation, and only a countermeasure such as medication is performed for a transient disease. In other words, the advice is not basically based on the person's long-term habits.
On the other hand, there are few people who always pay attention to their own health management and grasp their health status. For this reason, you will be aware of what was the cause only after you lost your physical condition and how you could avoid the disease. Moreover, the same mistake is often repeated when the physical condition is recovered.
Therefore, if information on illness at the time of going to the hospital can be used for self-health management, health management based on the past medical history becomes possible, and it is considered that the user's health management is promoted.

As a technique for effectively utilizing a hospital via a communication network, for example, there is Patent Document 1. Patent Document 1 discloses a technique for notifying a scheduled date of hospitalization for a home therapy patient from a server linked with a medical institution.
JP 2005-285033 A

  By the way, when a person loses physical condition or gets sick, it may be patterned to some extent due to lifestyle habits (onset pattern). For example, there are people who lose their physical condition at times such as at the turn of the season or during the rainy season, or when their work style becomes irregular, such as overtime. In addition, for example, there is a person who loses physical condition on the next day when the amount of drinking increases or when drinking is continued.

  However, it is difficult for the user to be aware of the onset pattern even though there is a tendency (onset pattern) to easily develop from lifestyle such as the work style and frequency of drinking. Even in the above-described prior art, it is only possible to easily know reservation information in a medical institution, and information on a disease is not effectively used for health management.

  An object of the present invention is to provide a health management support device and a health management support program that promotes own health management by managing the health state based on information (life information) related to the life of the user.

In order to achieve the above object, the invention described in claim 1
Life information acquisition means for acquiring user life information including medical information transmitted from an information terminal and indicating that the user has visited the hospital or purchased a medicine at a pharmacy and lifestyle information related to the user's lifestyle When,
Life information storage means for storing life information acquired by the life information acquisition means;
Based on the lifestyle information and the medical information included in the history of the lifestyle information stored in the lifestyle information storage means, the periodicity of the lifestyle of each user, the periodicity of the disease, and the lifestyle and the disease Periodicity analysis means for analyzing the correlation with
A health management support apparatus comprising: periodic notification means for notifying a message related to the periodicity of a disease caused by a user's lifestyle based on an analysis result by the periodicity analysis means before the period arrives. is there.

The invention according to claim 2 is the health management support device according to claim 1,
The periodicity analysis means extracts the onset date of the same disease of the user from the medical information as the analysis of the periodicity of the disease, determines whether the extracted onset date has periodicity, and the onset When the day has periodicity, the period of the disease of the user is set .

The invention according to claim 3 is the health management support device according to claim 1 or 2,
The lifestyle information includes commuting information indicating a user's commuting status,
The lifestyle based on the commuting information is a work style .

The invention according to claim 4 is the health management support device according to claim 3,
The periodicity analysis means, as an analysis of the work style, extracts a user's overtime day or late day from the commuting information, and if there is periodicity on the extracted overtime day or late day, Set the user's overtime or late work period, and as an analysis of the correlation between the work style and the disease, the commuting information and the medical information are collated to determine whether there is a correlation between the individual user's work style and the disease characterized in that it.

The invention according to claim 5 is the health management support apparatus according to any one of claims 1 to 4,
The lifestyle information includes eating and drinking information indicating the usage status of the user's restaurant,
The lifestyle based on the food / beverage information is a food / beverage situation .

The invention according to claim 6 is the health management support apparatus according to claim 5,
The periodicity analysis means extracts the day of eating and drinking by the user from the eating and drinking information as the analysis of the eating and drinking situation, and when there is periodicity on the day of eating and drinking, sets the period of eating and drinking of the user, As an analysis of the correlation between the eating and drinking situation and the disease, the eating and drinking information and the medical information are collated to determine whether or not there is a correlation between the eating and drinking situation of each user and the disease .

The invention according to claim 7 is the health management support device according to any one of claims 1 to 6,
The information terminal is an IC-equipped mobile terminal that a user can use for payment at a user organization or a store,
The life information obtaining means is provided by user organizations or use the store during checkout in the IC-mounted portable terminal, the information transmitted by the IC-mounted portable terminal, and acquires as the living information.

The invention according to claim 8 provides:
On the computer,
Life information acquisition means for acquiring user life information including medical information transmitted from an information terminal and indicating that the user has visited the hospital or purchased a medicine at a pharmacy and lifestyle information related to the user's lifestyle ,
Life information acquired by the life information acquisition means is accumulated, and based on the lifestyle information and the medical information included in the accumulated life information history , the periodicity of the lifestyle of individual users, diseases Periodicity analysis means for analyzing the periodicity of life and the correlation between lifestyle and disease ,
Based on the analysis result by the periodicity analysis means, a periodicity notification means for notifying a message about the periodicity of the disease caused by the lifestyle of the user before the arrival of the period,
It is a health management support program to realize the function as

According to the present invention, based on life information of each user, the periodicity of the user's lifestyle , the periodicity of the disease, and the correlation between the lifestyle and the disease are analyzed, and the health condition of the user is managed. Since the message about the periodicity of the disease caused by the lifestyle of the user can be notified before the arrival of the period, self-health management can be promoted.
The user can prevent the onset of the habitual disease by reviewing the lifestyle based on the message related to the periodicity of the disease caused by the reported lifestyle.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic diagram showing a network configuration having a server device to which a health management support device according to the present invention is applied.
As shown in FIG. 1, information terminals 2, 2,... Are connected to the server device 1 via a communication network N.
The communication network N is a telephone network such as the Internet or a telecommunications carrier, a cellular phone communication network, and the like. Between the server device 1 connected to the communication network N and devices such as the information terminals 2, 2,. Connect to enable data communication.

The server device 1 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a HDD (Hard Disk Drive), and the like (not shown). And the function as a health care support apparatus is implement | achieved by cooperation with the program memorize | stored in CPU and ROM.
Specifically, the server device 1 analyzes the periodicity of the user's lifestyle based on information related to the user's life (hereinafter referred to as lifestyle information) transmitted from the information terminal 2, and the cycle of the user's lifestyle A message about sex is notified before the period arrives. For example, a tendency (onset pattern) that a user is likely to develop as a periodicity of lifestyle habits is predicted, and a message that prompts attention is transmitted when onset is a concern.

  The information terminal 2 is a mobile phone provided with display means such as a small liquid crystal panel and input means such as dial keys. The information terminal 2 is equipped with an IC chip that can be used for payment at a medical institution 3 such as a hospital or a pharmacy, a station 4 used for commuting, or a restaurant 5. Hereinafter, medical institutions, stations, restaurants, etc. are collectively referred to as user institutions or user shops.

For example, the user is provided with information regarding usage by performing electronic payment using an IC chip at the medical institution 3 or the restaurant 5. Hereinafter, information indicating that the user has visited the hospital (provided by the hospital), information indicating that the drug (including drinks) has been purchased (provided by the pharmacy), drug purchase information, and restaurant usage status The information shown (provided by the restaurant) is referred to as food information.
In addition, for example, when the fare is settled using IC chips at the ticket gates at station 4 (including settlement with commuter passes using IC chips), daily commuting such as the boarding / exiting station name and ticket gate passage time Commuter information showing the situation is provided. Information provided from these users or stores is stored in the IC chip.

  The information terminal 2 includes a CPU, ROM, and RAM (not shown). The information terminal 2 stores information provided from the use organization or the use store at the time of settlement in cooperation with the CPU and the program stored in the ROM, and transmits this information to the server device 1 as life information. At this time, when information is obtained from a user organization or a user store, life information may be immediately transmitted to the server device 1 or may be transmitted in accordance with a user's transmission operation. Moreover, the information terminal 2 receives the message regarding the periodicity of the lifestyle habit transmitted from the server device 1 and displays this message on the display means.

  As described above, since the life information is automatically stored in the information terminal 2 when payment is made using the IC chip, the user can easily obtain the life information without special consciousness. By simply transmitting to the device 1, it is possible to receive a message regarding the periodicity of lifestyle habits.

FIG. 2 is an explanatory diagram showing a functional configuration of the server device 1.
As shown in FIG. 2, the server device 1 includes a life information receiving unit 11, a user database (hereinafter referred to as a user DB) 12, a health condition management unit 13, an advice notification condition setting unit 14, a message selection unit 15, and message transmission. Section 16 and a message database (hereinafter referred to as message DB) 17.

The living information receiving unit 11 receives living information (including hospital information, medicine purchase information, commuting information, and food and drink information) transmitted from the information terminal 2. For example, protocol information such as TCP / IP is performed, and life information is received via a communication unit (not shown) that enables data communication with the information terminal 2 connected to the network N.
Further, the living information receiving unit 11 determines the information terminal 2 that has transmitted the living information from, for example, the IP address of the information terminal 2 or the like. In the periodicity analysis unit 13 described later, the periodicity of lifestyle habits is analyzed according to the specified information terminal (user) 2.

  The user DB 12 is composed of, for example, a hard disk, and stores life information output from the life information receiving unit 11 for each user. The user DB 12 is provided with areas as an outpatient history DB 121, a medicine purchase history DB 122, a commute history DB 123, and a food and drink history DB 124. In addition, you may make it memorize | store all the life information transmitted from the information terminal 2, and memorize | store only some information required in order to analyze the periodicity of a user's lifestyle in user DB12. You may do it.

The outpatient history DB 121 stores the outpatient information transmitted from the information terminal 2.
FIG. 3 is an explanatory diagram showing an example of the data configuration of the hospital information stored in the hospital history DB 121.
As shown in FIG. 3, the hospital history DB 121 stores, as hospitalization information, a date, a medical institution, a medical department, a symptom, a medication name, and the like corresponding to a past visit by the user. The outpatient information stored in the outpatient history DB 121 is used to analyze the periodicity of habitual diseases.
Here, an addictive disease is a disease that develops due to a lifestyle (for example, fatigue or hangover), and regularly visits the hospital or purchases drugs for the same disease (for example, fatigue). If so, this is an addictive disease.

The medicine purchase history DB 122 stores medicine purchase information transmitted from the information terminal 2.
FIG. 4 is an explanatory diagram showing an example of a data configuration of medicine purchase information stored in the medicine purchase history DB 122.
As shown in FIG. 4, the drug purchase history DB 122 stores, as drug purchase information, the date on which the user purchased a drug in the past, the drug name, and the like correspondingly. The drug purchase information stored in the drug purchase history DB 122 is used to analyze the periodicity of addictive diseases. An addictive disease can be determined based on the drug name included in the drug purchase information. In addition, by collating medicine purchase information with commuting information and eating and drinking information, which will be described later, when the cause of the onset is due to an irregular work pattern or alcohol drinking, it can also be specified.

The commuting history DB 123 stores commuting information transmitted from the information terminal 2.
FIG. 5 is an explanatory diagram illustrating an example of a data configuration of commuting information stored in the commuting history DB 123.
As shown in FIG. 5, the commuting history DB 123 stores the date and time when the user passed through a ticket gate of a specific station (for example, the nearest station at home used for commuting) in the past as commuting information. The commuting information stored in the commuting history DB 123 is used to analyze the periodicity of the user's work style. For example, based on the commuting information, it is possible to specify a cycle in which the work style is irregular, such as overtime or late work.

  For example, when the ticket gate entrance time is 7:30 to 8:30 and the ticket gate exit time is 18:00 to 19:00, the acquired commuting information is within this range. It can be determined to be irregular when it is outside or greatly deviates. From this, it is possible to analyze the periodicity when the work style becomes irregular.

  In addition, when the boarding fee is settled by the IC chip of the information terminal 2, for example, it can be assumed that the boarding / exiting station name, time, boarding fee, etc. are included in the commuting information, but only the date and time when the ticket passes through the ticket gate of a specific station. Is remembered. This is because the regularity of the daily work style of the user can be determined if there is at least a date and time when the user passes the specific station ticket gate. If the date and time of passing through the ticket gate of the nearest station of the company is stored, the regularity of the work style can be determined with higher accuracy.

The eating and drinking history DB 124 accumulates the eating and drinking information transmitted from the information terminal 2.
FIG. 6 is an explanatory diagram showing an example of the data configuration of the food / beverage information stored in the food / beverage history DB 124.
As shown in FIG. 6, the eating history DB 124 stores the date and time when the user has previously eaten or eaten at the restaurant, the name of the store, the order of eating or drinking, and the like as the eating and drinking information. The eating and drinking information stored in the eating and drinking history DB 124 is used for analyzing the periodicity of the user's eating and drinking history. For example, it is possible to specify a period in which the possibility of eating out is high based on the eating and drinking information. Moreover, based on the information regarding the drinking included in the food / beverage information, the amount of drinking taken by the user during a predetermined period (for example, one day or one week) can be determined.

In FIG. 2, the periodicity analysis unit 13 includes an addictive disease analysis unit 131 and a behavioral habit analysis unit 132, and analyzes the periodicity of the user's lifestyle based on the history of life information accumulated in the user DB 12. To do.
Specifically, the periodicity analysis unit 13 analyzes the periodicity of the user's lifestyle according to the flowchart shown in FIG.

FIG. 7 is a flowchart illustrating an example of periodicity analysis processing performed by the periodicity analysis unit 13.
In step S <b> 101, it is determined whether the life information (visit information, medicine purchase information, commuting information, food and drink information) transmitted from the information terminal 2 has been acquired. And if it determines with life information having been acquired, it will transfer to step S102.

  In step S102, it is determined whether the acquired life information is hospital visit information or medicine purchase information (hereinafter referred to as medical information). And when it determines with the acquired lifestyle information being medical information, it transfers to step S103, and when it determines with it not being medical information, it transfers to step S105.

In step S103, the periodicity of the user's temporal addictive disease is analyzed based on the medical information accumulated in the outpatient history DB 121 and the drug purchase history DB 122 and the medical information acquired in step S101 (addictiveness). Disease analysis unit 131).
For example, the day when the same disease develops is extracted from the medical information, and it is determined whether or not the onset day has periodicity. If the onset day has periodicity (for example, a weekend), the user determines that the user has a temporal addictive disease, and sets the period of the temporal addictive disease.

In step S104, the correlation between the user's behavioral habits and the disease is analyzed based on the commuting information stored in the commuting history DB 123 and the eating and drinking information stored in the eating and drinking history DB 124 and the medical information acquired in step S101. (Addictive disease analysis unit 131).
Specifically, the commuting information and the medical information are collated to determine whether or not there is a correlation between the work form and the disease, and the presence or absence of an addictive disease caused by the work form is determined. For example, if the work form is irregular on the day before the day of hospitalization or drug purchase due to lack of sleep or fatigue, the user determines that the user has an addictive disease caused by the work form.
In addition, the food / beverage information and the medical information are collated to determine whether there is a correlation between the food / beverage status and the disease, and the presence / absence of an addictive disease caused by the food / beverage status is determined. For example, if the user is drinking on the day before the day of hospitalization or drug purchase due to stomach upset or hangover, the user determines that the user has an addictive disease caused by the eating and drinking situation.

  In step S105, it is determined whether the life information acquired in step S101 is commuting information. And when it determines with the acquired lifestyle information being commuting information, it transfers to step S106, and when it determines with it not being commuting information, it transfers to step S107.

  In step S106, the periodicity of the user's work style is analyzed based on the commuting information accumulated in the commuting history DB 123 and the commuting information acquired in step S101 (behavioral analysis unit 132). For example, when the overtime day is extracted from the commuting information and is periodically overtime, this is set as the overtime cycle. In addition, for example, when a late date is extracted from the commuting information and is periodically delayed, this is set as a late cycle.

In step S107, the periodicity of the user's eating and drinking situation is analyzed based on the eating and drinking information stored in the eating and drinking history DB 124 and the eating and drinking information acquired in step S101 (behavioral analysis unit 132). For example, when eating and drinking information is extracted from the eating and drinking information and eating and drinking periodically, this is set as the eating and drinking cycle.
In the periodicity analysis unit 13, the periodicity analysis process is performed as described above.

In FIG. 2, the message notification condition setting unit 14 notifies the user of a message related to the periodicity of lifestyle based on the periodicity of the user's habitual disease and the periodicity of behavioral habits analyzed by the periodicity analysis unit 13. Set the conditions. The message related to the periodicity of lifestyle habits includes, in addition to messages related to habitual illnesses, messages related to work patterns that are periodically irregular, messages related to eating and drinking conditions that are provided periodically, and the like.
Specifically, the message notification condition setting unit 14 sets message notification conditions according to the flowchart shown in FIG.

  FIG. 8 is a flowchart illustrating an example of notification condition setting processing performed by the message notification condition setting unit 14. This notification condition setting process is executed when, for example, the periodicity analysis unit 13 updates the analysis result.

  In step S201, it is determined whether there is a temporal addictive disease. Specifically, the determination is made based on whether or not a temporal addictive disease is recognized in step S103 of FIG. When it is determined that there is a temporal addictive disease, the process proceeds to step S202, and when it is determined that there is no temporal addictive disease, the process proceeds to step S203.

  In step S202, a first notification condition is set as a condition for notifying a message regarding a temporal addictive disease. For example, the first notification condition is set based on the period (for example, the beginning of the week (day off)) of the temporal addictive disease set when the temporal addictive disease is recognized in step S103 of FIG. Set. As the first notification condition, for example, a date before the arrival date on which the next onset is predicted is set based on the period of the temporal addictive disease.

  In step S203, it is determined whether there is an addictive illness due to work style. Specifically, the determination is made based on whether or not an addictive disease caused by the work style is recognized in step S104 of FIG. If it is determined that there is an addictive illness due to work style, the process proceeds to step S204, and if it is determined that there is no addictive illness due to work style, the process proceeds to step S205.

  In step S204, a second notification condition is set as a condition for notifying a message regarding an addictive disease caused by the work style. For example, the second notification condition is set based on the overtime period (for example, the end of the month) set in step S106 of FIG. As the second notification condition, for example, the day before the day when the next overtime is predicted is set based on the overtime cycle. This is because, when an addictive illness caused by the work style is recognized, the day when overtime is predicted is the day when the onset of the addictive disease caused by the work style is predicted.

  In step S205, it is determined whether there is an addictive disease caused by the eating and drinking situation. Specifically, the determination is made based on whether or not an addictive disease caused by the eating and drinking situation is recognized in step S104 of FIG. And when it determines with there being an addictive disease resulting from the eating and drinking situation, it transfers to step S206, and when it determines with there being no addictive disease resulting from the eating and drinking situation, a process is complete | finished.

In step S206, a third notification condition is set as a condition for notifying a message related to an addictive disease caused by the eating and drinking situation. For example, the third notification condition is set based on the period of eating and drinking (for example, a weekend) set in step S107 of FIG. As the third notification condition, for example, a date before the date on which the next food and drink is predicted is set based on the period of food and drink. This is because when an addictive disease caused by the eating and drinking situation is recognized, the day when the eating and drinking is predicted is the day when the onset of the addictive disease caused by the eating and drinking situation is predicted.
In the message notification condition setting unit 14, the notification condition setting process is performed as described above. And when the 1st-3rd notification conditions set according to the flowchart shown in FIG. 8 are satisfied, a predetermined message will be transmitted to the information terminal 2.

In FIG. 2, the message selection unit 15 selects a message corresponding to the establishment condition from the message DB 17 when the condition set by the message notification condition setting unit 14 is established.
The message transmission unit 16 transmits the message selected by the message selection unit 15 to the information terminal 2. For example, protocol processing such as TCP / IP is performed, and a message is transmitted via a communication unit (not shown) that enables data communication with the information terminal 2 connected to the network N.

The message DB 17 is composed of, for example, a hard disk and stores a message notified to the information terminal 2.
FIG. 9 is an explanatory diagram illustrating an example of a message stored in the message DB 17.
As shown in FIG. 9, the message DB 17 stores a plurality of messages A, B, C,.

The message A is an example of a message that notifies the user that it is a time when the first notification condition is satisfied, that is, when the onset of a temporal addictive disease is predicted, and that the time is likely to develop.
Message B is an example of a message to be notified when the second notification condition is satisfied, that is, when the onset of an addictive disease caused by the work style is predicted.
Message C is an example of a message to be notified when the third notification condition is satisfied, that is, when the onset of an addictive disease caused by the eating and drinking situation is predicted.

The message selection unit 15 and the message transmission unit 16 notify a predetermined message according to the flowchart shown in FIG.
FIG. 10 is a flowchart illustrating an example of message notification processing performed by the message selection unit 15 and the message transmission unit 16.

In step S301, date and time information is acquired from a timer built in the server apparatus 1.
In step S302, the first to third notification conditions set by the notification condition setting process are compared with the date / time information acquired in step S301 to determine whether the notification condition is satisfied. If it is determined that any notification condition is satisfied, the process proceeds to step S303, and if it is determined that any notification condition is not satisfied, the process ends.

In step S303, a message is selected based on the established notification condition.
In step S304, the message selected in step S303 is transmitted to the information terminal 2.

  Specifically, when the first notification condition is satisfied, the message A (see FIG. 9) stored in the message DB 17 is selected and transmitted. Message A is a message indicating that it is a time when it is easy to develop a time-related addictive disease, such as “Because I am often at the hospital around XX, let's be careful.”

  When the second notification condition is satisfied, the message B (see FIG. 9) stored in the message DB 17 is selected and transmitted. Message B is a message indicating that it is a time when an addictive illness due to a work style is likely to occur, such as “It is a time when overtime increases. It is easy to get sick.”

  When the third notification condition is satisfied, the message C (see FIG. 9) stored in the message DB 17 is selected and transmitted. The message C is a message indicating that it is a time when an addictive disease caused by the eating and drinking situation is likely to occur, “It is a time when eating and drinking opportunities increase. It is easy to get sick.”

  In the message selection unit 15 and the message transmission unit 16, the message notification process is performed as described above. Thereby, the message regarding the periodicity of the user's habitual disease is notified to the user before the arrival of the period.

  As described above, the server device 1 according to the present embodiment has a life information acquisition unit (life information) that acquires user life information (hospital information, medicine purchase information, commuting information, food and drink information) transmitted from the information terminal 2. The receiving part 11), the life information storage means (user DB 12) for storing the life information acquired by the life information acquisition means, and the life cycle of the user based on the history of the life information stored in the life information storage means Periodicity analysis means (periodicity analysis unit 13) for analyzing the periodicity, and periodicity notification means (message) for notifying a message about the periodicity of the user's lifestyle before the arrival of the period based on the analysis result by the periodicity analysis means A notification condition setting unit 14, a message selection unit 15, and a message transmission unit 16).

Specifically, the periodicity of the user's addictive disease is analyzed based on the medical information, and a message regarding the periodicity of the user's addictive disease is notified based on the analysis result before the arrival of the cycle.
Also, based on the commuting information and the medical information, it is determined whether or not there is a correlation between the work style of each user and the disease. If there is a correlation, a message regarding the periodicity of the addictive disease caused by the work style is displayed. Notify before the period arrives.
In addition, based on food and beverage information and medical information, it is determined whether or not there is a correlation between each user's food and beverage status and the disease, and if there is a correlation, a message regarding the periodicity of the addictive disease caused by the food and beverage status Notify before the period arrives.

  Note that the functions of the life information receiving unit 11, the periodicity analyzing unit 13, the message notification condition setting unit 14, the message selecting unit 15, and the message transmitting unit 16 described above are executed by the CPU of the server device 1 using a program stored in the ROM. It is realized by executing.

As described above, according to the server device 1 of the present embodiment, by analyzing the onset pattern of an addictive disease based on life information and managing the user's health state, when the onset of the addictive disease is concerned, Since a message related to periodicity (for example, a warning message) can be notified, self-health management can be promoted.
In addition, the user can prevent the onset of an addictive disease by reviewing the lifestyle based on the notified health management support information.

  As mentioned above, although the invention made by this inventor was concretely demonstrated based on embodiment, this invention is not limited to the said embodiment, It can change in the range which does not deviate from the summary.

  For example, in the above embodiment, the life information is transmitted from the information terminal 2 owned by the user to the server device 1, but the life information is directly transmitted to the server device 1 from the user organization or the user store that provides the life information. You can also

  The types of messages notified to the information terminal 2 are not limited to those shown in the above embodiment, and various forms are conceivable. For example, you may make it notify a user of the deterioration of an operation state with an audio | voice.

  In the above embodiment, the periodicity of the addictive disease is analyzed and a message is notified. For example, addictive diseases such as hay fever (cycle: early spring to early summer) and asthma (cycle: rainy season or change of season) Even for different diseases, for a disease with an onset pattern, it is possible to analyze the periodicity and notify a message for calling attention.

In the above embodiment, a message regarding the periodicity of habitual illness is notified when the correlation between the work style or the eating and drinking situation and the disease is recognized, but the message that prompts attention even when the correlation is not recognized May be notified.
For example, a notification condition based on the overtime cycle is set, and when the notification condition is satisfied, a message “It is time to overtime. Be more careful with health care than usual.” Is notified. In addition, for example, set the notification condition based on the period of the late, the notification condition when satisfied "comes to around ○ late time will be many. Tired or not collected?" That sends a message.

In addition, for example, a notification condition based on the eating and drinking cycle is set, and when the notification condition is satisfied, a message “It is a time when eating and drinking opportunities increase.
That is, this invention notifies the message regarding not only the periodicity of an addictive disease but the general periodicity of a user's lifestyle before the arrival of the said period.

In addition, irregular levels of work patterns that lead to illness based on life information for each user (for example, overtime is a day in a week) and drinking levels (for example, continuous drinking on a day, or yes or no on a day) (Alcohol etc.) may be set as a notification condition, or an irregular level or a drinking level of a work style that is generally considered to be unhealthy may be set as a notification condition.
In addition, a message that cares about the health status of the user should be transmitted in order to promote health management even if the work style becomes irregular or when there is an opportunity to drink at a different timing from the user's past life cycle. May be.
For example, if you have overtime at a different timing from the past overtime cycle, you may receive a message such as “It seems to have been overtime yesterday, is it okay?” In such a case, a message such as “It seems that there was a lot of drinking last night, but are you a hangover?” May be sent.
In this case, it is determined whether or not a notification condition is satisfied when commuting information or food and drink information is acquired, and a predetermined message is notified when the notification condition is satisfied.

  In the above embodiment, commuting information and eating and drinking information are used as information representing the user's behavior habits, but other information related to lifestyle habits can also be used. For example, it is possible to analyze the periodicity of lifestyle based on the purchase history of luxury items such as tobacco and confectionery. Furthermore, the daily temperature may be stored, and the message may be notified by analyzing the onset pattern from the relationship between the change in temperature and the user's disease.

In the above description, an example in which a ROM is used as a computer-readable medium storing a program according to the present invention is disclosed, but the present invention is not limited to this example.
For example, as another computer-readable medium, a non-volatile memory such as a flash memory and a portable storage medium such as a CD-ROM can be applied. Further, a carrier wave (carrier wave) that provides data via a communication line is also applied to the present invention as a medium for storing program data according to the present invention.

  The embodiment disclosed this time should be considered as illustrative in all points and not restrictive. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

It is the schematic shown about the network structure which has a server apparatus to which the health-care assistance apparatus which concerns on this invention is applied. 3 is an explanatory diagram showing a functional configuration of a server device 1. FIG. It is explanatory drawing which shows an example of a data structure of outpatient information memorize | stored in outpatient history DB121. It is explanatory drawing which shows an example of the data structure of the medicine purchase information memorize | stored in medicine purchase history DB122. It is explanatory drawing which shows an example of a data structure of the commuting information memorize | stored in commuting history DB123. It is explanatory drawing which shows an example of the data structure of the food / beverage information memorize | stored in food / beverage history DB124. 7 is a flowchart illustrating an example of periodicity analysis processing performed by a periodicity analysis unit 13; 5 is a flowchart illustrating an example of notification condition setting processing performed by a message notification condition setting unit. It is explanatory drawing which shows an example of the message memorize | stored in message DB17. 4 is a flowchart illustrating an example of a message notification process performed by a message selection unit 15 and a message transmission unit 16.

Explanation of symbols

1 Server device (health management support device)
11 Living information receiver (living information acquisition means)
12 User database (life information storage means)
121 Visit history DB
122 medicine purchase history DB
123 Commuting history DB
124 Eating and drinking history DB
13 Periodicity analysis unit (periodicity analysis means)
131 habitual disease analysis unit 132 behavior habit analysis unit 14 message notification condition setting unit (periodic notification means)
15 Message selector (periodic notification means)
16 Message transmitter (periodic notification means)
17 Message database

Claims (8)

Life information acquisition means for acquiring user life information including medical information transmitted from an information terminal and indicating that the user has visited the hospital or purchased a medicine at a pharmacy and lifestyle information related to the user's lifestyle When,
Life information storage means for storing life information acquired by the life information acquisition means;
Based on the lifestyle information and the medical information included in the history of the lifestyle information stored in the lifestyle information storage means, the periodicity of the lifestyle of each user, the periodicity of the disease, and the lifestyle and the disease Periodicity analysis means for analyzing the correlation with
A health management support apparatus comprising: periodicity notification means for notifying a message related to a periodicity of a disease caused by a user's lifestyle based on an analysis result by the periodicity analysis means before arrival of the period. The periodicity analysis means extracts the onset date of the same disease of the user from the medical information as the analysis of the periodicity of the disease, determines whether the extracted onset date has periodicity, and the onset The health management support apparatus according to claim 1, wherein the period of the disease of the user is set when the day has periodicity . The lifestyle information includes commuting information indicating a user's commuting status,
The health management support apparatus according to claim 1, wherein the lifestyle based on the commuting information is a work style . The periodicity analysis means, as an analysis of the work style, extracts a user's overtime day or late day from the commuting information, and if there is periodicity on the extracted overtime day or late day, Set the user's overtime or late work period, and as an analysis of the correlation between the work style and the disease, the commuting information and the medical information are collated to determine whether there is a correlation between the individual user's work style and the disease health management support apparatus according to claim 3, characterized in that. The lifestyle information includes eating and drinking information indicating the usage status of the user's restaurant,
The health management support apparatus according to any one of claims 1 to 4, wherein the lifestyle based on the eating and drinking information is a eating and drinking situation . The periodicity analysis means extracts the day of eating and drinking by the user from the eating and drinking information as the analysis of the eating and drinking situation, and when there is periodicity on the day of eating and drinking, sets the period of eating and drinking of the user, The analysis of the correlation between the eating and drinking situation and the disease is performed by collating the eating and drinking information with the medical information to determine whether or not there is a correlation between the eating and drinking situation of each user and the disease . Health care support device. The information terminal is an IC-equipped mobile terminal that a user can use for payment at a user organization or a store,
The life information obtaining means, claims provided from institutes or use the store during checkout in the IC-mounted portable terminal, the information transmitted by the IC-mounted portable terminal, and acquires as the living information Item 7. The health management support device according to any one of Items 1 to 6. On the computer,
Life information acquisition means for acquiring user life information including medical information transmitted from an information terminal and indicating that the user has visited the hospital or purchased a medicine at a pharmacy and lifestyle information related to the user's lifestyle ,
Life information acquired by the life information acquisition means is accumulated, and based on the lifestyle information and the medical information included in the accumulated life information history , the periodicity of the lifestyle of individual users, diseases Periodicity analysis means for analyzing the periodicity of life and the correlation between lifestyle and disease ,
Based on the analysis result by the periodicity analysis means, a periodicity notification means for notifying a message about the periodicity of the disease caused by the lifestyle of the user before the arrival of the period,
Health care support program to realize the function as

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