JP5830489B2 - Health information management device, method and program - Google Patents

Description

  The present invention relates to a health information management apparatus, method, and program for receiving user health information measured by a health device via a communication network and storing it in a database.

  In general, information on personal health is scattered in various places, such as medical records for medical records, health checkups for health checkups, insurers, fitness information for fitness clubs, and weight and other information at home. Yes. For this reason, when an individual tries to utilize his / her health information, for example, the corresponding information must be acquired by accessing a server or the like operated by each institution or the like, and the procedure and operation are extremely troublesome.

  Therefore, a PHR (Personal Health Record) system that makes it possible to centrally manage and utilize various information related to personal health has been proposed (see, for example, Non-Patent Document 1). By using the PHR system, individuals can easily acquire multiple types of information about their health at any time and anywhere on their own initiative, thereby properly grasping their health status and promoting health and lifestyle habits. It can be used for disease prevention.

  In addition, in order to allow more people to use the PHR service, health equipment can be placed in a common space such as a public facility, and multiple people can share the health equipment and store measurement data in the PHR server. It has also been proposed (see, for example, Non-Patent Document 2).

“Creative Health Service”, NTT Data, Internet <URL: http://www.creativehealth.jp/ap/a/a0000.jsp> “Spot Check Monitor”, Internet <URL: http://www.healthcare.omron.co.jp/corp/news/detail/173>

  By the way, since the health information handled by this type of system is personal information of the user, user authentication is indispensable when the measured health information is stored in the PHR server. Therefore, conventionally, when a user performs measurement using a health device, for example, the user himself / herself inputs the user ID directly or using an IC card to the transmission terminal, and the transmission terminal is connected to the health device. The inputted user ID is associated with the measured health information and transmitted to the PHR server. The PHR server compares the user ID sent together with the health information with the user ID managed in the user information database, and if the corresponding user is registered, the sent health information is stored in the database. To remember.

  However, if a user erroneously inputs his / her own user ID and there is another user corresponding to the input user ID, the user's health information is stored in the database as the other person's health information. It may be done. Also, if the user ID is stolen during measurement work and leaked, it is possible that another person pretends to be a user and registers unnecessary health information.

  In order to reduce these inconveniences, it is common to use another authentication code such as a password in addition to the user ID. However, in this method, the user must input authentication information such as a password in addition to the user ID every time measurement is performed on the health device. For this reason, the operation is troublesome especially for an elderly person or a person unfamiliar with the operation of the device, and there is a concern that the deterioration of the operability becomes an obstacle to the spread of the PHR service.

  This invention was made paying attention to the above circumstances, and its purpose is to provide a health information management device that can more accurately authenticate the user without imposing a burden on the operation of the user, It is to provide a method and a program.

To achieve the above object, according to a first aspect of the present invention, user health information measured by a health device is received via a communication network, and the received health information is associated with the user identification information. Information is stored in the database in association with the statistical information representing the trend of the change based on a plurality of past health information with different measurement times stored in the database. The statistical information is stored in association with the corresponding user identification information. In this state, when the health information measured by the health device is newly received, the predicted value at the measurement time of the newly received health information is calculated based on the stored statistical information, The measured value included in the newly received health information is compared with the calculated predicted value to determine whether or not the difference is within a preset range. If the difference is within the preset range as a result of this determination, the newly received health information is regarded as having high probability of being the user's health information, and the newly received health information is received. The health information associated with the user identification information is stored in the database . On the other hand, if the difference is outside the preset range, the newly received health information is considered to have a low probability of being the user's health information, and the newly received health information Information is discarded .

  According to a second aspect of the present invention, when input of information indicating the user's consent level for diversion of the health information stored in the database is received, and the input consent level is the first level Reads out and transmits the health information stored in the database. On the other hand, when the stored consent level is a second level lower than the first level, the stored statistical information is read and transmitted.

  In addition, according to the first or second aspect of the present invention, when calculating statistical information, an approximate expression is obtained from a plurality of past health information with different measurement times stored in the database for each user, and this calculation is performed. The approximate expression is stored as statistical information in association with the identification information of the user.

  According to the first aspect of the present invention, when health information measured by a health device is newly received, the newly received health information is based on statistical information obtained from the past health information. The predicted value at the measurement time is calculated, and it is determined whether or not the difference between the predicted value and the measured value included in the newly received health information is within a preset range. When the difference is within the set range, the newly received health information is stored in the database. For this reason, if the measurement value included in the newly received health information is greatly different from the past measurement value beyond the set range, it is highly likely that the health information is not the user's own health information. The health information is not stored. That is, when the health information is stored, in addition to the verification of the user ID, gentle authentication based on the health information is performed, so that even if an incorrect input of the user ID or spoofing occurs, the health information It is possible to prevent unnecessary registration. In addition, the user only has to enter the user ID, and it is not necessary to input other authentication information such as a password, so the operational burden is reduced accordingly, which makes the user unaccustomed to the elderly and equipment operation. People can easily use the PHR service.

  According to the second aspect of the present invention, when diverting health information to another service or the like, either the health information itself or the above statistical information is selected and transmitted according to the consent level of the user himself / herself. Is done. For this reason, it is possible for other service providers to receive health information statistical information from users who do not want the health information to be used as it is.

  In addition, according to the first or second aspect, an approximate expression is obtained from past health information and is stored as statistical information. Therefore, a predicted value can be calculated as it is using the approximate expression. Become.

  That is, according to the first and second aspects of the present invention, there is provided a health information management apparatus, method, and program capable of more accurately authenticating a user without imposing a burden on the user on operation. can do.

1 is an overall configuration diagram of a system including a health information management device (PHR server) according to an embodiment of the present invention. The block diagram which shows the function structure of the health information management apparatus (PHR server) shown in FIG. The flowchart which shows the procedure and processing content of the authentication process using the statistical data by the health information management apparatus (PHR server) shown in FIG. The flowchart which shows the procedure and process content of the health information transmission process according to the consent level by the health information management apparatus (PHR server) shown in FIG. The figure for demonstrating an example of the authentication process and health information transmission process which were shown in FIG.

Embodiments according to the present invention will be described below with reference to the drawings.
[One Embodiment]
(Constitution)
FIG. 1 is an overall configuration diagram of a system having a health information management apparatus according to an embodiment of the present invention as a core.
The system according to this embodiment includes a PHR server SV1 as a health information management device, a customer management server SV2 operated by a service provider that performs marketing and recommendation services, user terminals UT1 to UTn used by users, A reception terminal RT installed in the health care spot HS, a plurality of health devices VD1 to VDk and measurement terminals ST1 to STm installed in the health care spot HS are provided. Although the health care spots HS are installed at a plurality of locations in the service area, only one is shown for the sake of simplicity.

(1) User terminal The user terminals UT1 to UTn include, for example, a simple mobile phone called a feature phone, a smart phone, or a tablet terminal, and have an SMS (Short Message Service) function in addition to a call function. Note that a mailer and browser for sending and receiving electronic mail may be provided, and a position measurement function using GPS (Global Positioning System) may be provided. The user terminals UT1 to UTn have a function of communicating with the PHR server SV1 via a mobile network NW2 and a wide area network (WAN) NW1 including the Internet.

(2) Reception terminal The reception terminal RT is composed of a personal computer, and for each health care spot HS, the use application status of the health care spot HS by the user, the use status of the health devices VD1 to VDk, and the lending of the IC card CD It has a function to manage each situation. Further, it has a function of performing data communication with the PHR server SV1 via a local area network (LAN) NW3 and a wide area network NW1. The IC card CD is used when a user uses the health care spot HS, and a unique user ID is stored in the PHR server SV1.

(3) Health appliances Health appliances VD1 to VDk include, for example, a sphygmomanometer, a thermometer, a pedometer, a weight composition meter, and a blood glucose meter, and a measurement terminal via a wired data transfer cable such as a USB cable or a short-distance wireless network It has a function of transmitting measurement data to ST1 to STm. As the short-range wireless network, for example, a wireless network employing a low-power wireless data transmission standard such as Bluetooth (registered trademark) is used. The wireless network may use a network adopting another standard.

(4) Measuring terminal As the measuring terminals ST1 to STm, for example, a LAN terminal adapter or a router is used. The measurement terminals ST1 to STm have a card reader, and the user ID stored in the IC card CD is read by the card reader. Then, the read user ID is added to the measurement data transmitted from the health devices VD1 to VDk to generate health information, and the health information is transmitted via the local area network NW3 and the wide area network (WAN) NW1. A function of transmitting to the PHR server SV1 is provided.

(5) PHR server The PHR server SV1 is managed and operated on the Web by, for example, a health service provider, and is configured as follows. FIG. 2 is a block diagram showing the functional configuration.
That is, the PHR server SV1 includes a control unit 1, a communication interface 2 for a wide area network, and a storage unit 3.

The communication interface 2 performs data communication between the user terminals UT1 to UTn and between the reception terminal RT of the healthcare spot HS and the measurement terminals ST1 to STm according to a protocol defined by the wide area network NW1. Do.
In addition to the user information database (not shown), the storage unit 3 is provided with a statistical data storage unit 31, a health information database (health information DB) 32, and an agreement level storage unit 33.

  The user information database stores the telephone numbers of the user terminals UT1 to UTn owned by the user and information necessary for authentication in association with the user ID of the user who has been registered for use with the PHR service. Is done. In addition to the telephone number, attribute information such as the user's name, information indicating the use conditions of the PHR service, and the like may be stored.

  The health information DB 32 is associated with the user ID for each user, and represents the health information received from the health care spot HS and indicates the type of the health equipment VD1 to VDk that is the measurement source (type of health information). Used to store with.

  The statistical data storage unit 31 stores statistical data related to past health information calculated for each type of health information by the statistical data calculation unit 11 described later in association with the user ID for each user. Used for.

  The consent level storage unit 33 is used to store, for each user, information indicating the consent level for diversion of health information set by the consent level setting processing unit 14 described later in association with the user ID. It is done.

  The control unit 1 includes a CPU (Central Processing Unit). As control functions necessary for realizing this embodiment, a statistical data calculation unit 11, an authentication processing unit 12, a health information registration processing unit 13, and a consent level are provided. It has a setting processing unit 14 and a health information provision control unit 15. These control functions are realized by causing the CPU to execute a program stored in a program memory (not shown).

  For each user, the statistical data calculation unit 11 determines the time series of the measurement data from a plurality of health information measured in the past most recent period stored in the health information DB 32 for each type of health device VD1 to VDk. Calculate statistical data representing the above trend of change. The calculated statistical data is stored in the statistical data storage unit 31 in association with information indicating the types of the health devices VD1 to VDk and the user ID.

The authentication processing unit 12 has the following processing functions.
(1) Every time the health information transmitted from the health care spot HS is received by the communication interface 2, the information indicating the types of the health devices VD1 to VDk included in the received health information and the user ID are used. The corresponding statistical data is read out from the statistical data storage unit 31. And the process which estimates the measured value in the measurement time contained in the said received health information based on this read statistical data.
(2) A difference between the measured value of the received health information and the predicted value is obtained, and a ratio Z of the difference to the predicted value is calculated. Then, a process of comparing the calculated ratio Z with a threshold value representing a preset range and determining whether the difference ratio Z is within the threshold range.

  When the authentication processing unit 12 determines that the difference ratio Z is within a threshold range, the health information registration processing unit 13 uses the received health information to indicate the types of the health devices VD1 to VDk. And a function of storing in the health information DB 32 in association with the user ID.

  The consent level setting processing unit 14 transmits a message for confirming the user's consent level for distribution of health information from the communication interface 2 to the user terminals UT1 to UTn. When the information indicating the consent level returned from the user terminals UT1 to UTn in response to this message is received by the communication interface 2, the information indicating the received consent level is associated with the user ID and agreed. The level storage unit 33 has a function of storing.

  When a health information provision request is sent from the customer management server SV2, the health information provision control unit 15 stores the health information based on the corresponding consent level information stored in the consent level storage unit 33 for each user. It has a function of selecting either raw data or statistical data and transmitting the selected data from the communication interface 2 to the requesting customer management server SV2.

(Operation)
Next, health information registration processing and health information provision processing by the PHR server SV1 configured as described above will be described.

(1) Registration of health information FIG. 3 is a flowchart showing a processing procedure and processing contents of the PHR server SV1 when registering health information.
(1-1) When the number of pieces of health information necessary for calculating statistical data is not accumulated It is assumed that the health information is transmitted from the health care spot HS and this health information is received by the communication interface 2. In this case, when the reception of the health information is detected in step S11, the PHR server SV1 proceeds to step S12, where information indicating the types of the health devices VD1 to VDk included in the received health information and the user ID are displayed. The statistical data storage unit 31 is searched based on whether or not the corresponding statistical data is registered.

  As a result of this determination, if the necessary number W of health information has not yet been accumulated and statistical data has not been calculated, the PHR server SV1 proceeds to step S16 and activates the health information registration processing unit 13. Then, the received health information is stored in the health information DB 32 under the control of the health information registration processing unit 13.

  When the storage process of the newly received health information is completed, the PHR server SV1 determines whether or not the necessary number W of health information has been accumulated in the health information DB 32 in step S17. If the necessary number of pieces of health information are not yet accumulated, the process is terminated and the process returns to the standby state.

On the other hand, it is assumed that the necessary number W of health information is accumulated in the health information DB 32. In this case, the PHR server SV1 activates the statistical data calculation unit 11 in step S18. Then, under the control of the statistical data calculator 11, the statistical data is calculated as follows.
That is, a plurality of pieces of health information measured in the past certain period of time are read from the health information DB 32, and an approximate expression “representing a tendency of change in the time series of the measurement data using the least square method, for example, from the measurement data” y = ax + b ”is obtained. Then, the obtained approximate expression is associated with information representing the types of the health devices VD1 to VDk and the user ID, and this is stored in the statistical data storage unit 31 as statistical data corresponding to the health information. FIG. 5 shows an example thereof, and shows statistical data XS of blood glucose level and statistical data YS of weight measurement values.

(1-2) When statistical data is stored When new health information is received in a state where statistical data corresponding to the statistical data storage unit 31 is stored, the PHR server SV1 performs steps S12 to S13. Migrate to Then, under the control of the authentication processing unit 12, first, in step S13, the measurement value at the measurement time of the received health information is predicted based on the corresponding statistical data read from the statistical data storage unit 31. .

Subsequently, in step S14, a difference between the measured value of the received health information and the predicted value is obtained, and a ratio Z of the difference to the predicted value is calculated. For example, taking the case of “weight” shown in FIG. 5 as an example, the predicted value is y1 and the actually measured value is Y1, so the ratio Z is Z = (Y1−y1) / y1 × 100 [%]
As required.

  Next, in step S15, the calculated difference ratio Z is compared with a threshold value representing a preset range, and it is determined whether or not the difference ratio Z is within the threshold value range. For example, if the threshold is set to 20 [%], it is determined whether the difference ratio Z is less than 20 [%]. If the difference ratio Z is less than 20 [%] as a result of the determination, the measured value of the received health information is not much different from the measured value set obtained in the past of the user and is the same. It is considered that there is a high probability of user's health information, and the process proceeds to step S16. Then, under the control of the health information registration processing unit 13, the received health information is stored in the health information DB 32.

  On the other hand, if the ratio Z of the difference is 20% or more as a result of the determination, the measurement value of the received health information is compared with the measurement value set obtained in the past of the user. Considering that the difference is large and the probability of being the same user's health information is low, the received health information is discarded and the process returns to the standby state.

  The above processing is performed based on statistical data generated for each user and for each type of received health information, corresponding to the type of the user's health device. Therefore, for example, when blood glucose level measurement data is received as health information, the predicted value x1 is calculated based on the blood glucose level statistical data XS as shown in FIG. 5, and the predicted value x1 and the measured value X1 are further calculated. A ratio Z of the difference to the predicted value x1 is calculated, and it is determined whether or not the difference ratio Z is within a preset threshold range. Based on this determination result, it is controlled whether the received actual blood glucose level is stored in the health information DB 32 or discarded. The threshold for determining the difference ratio Z is set to an appropriate value for each type of the health devices VD1 to VDk.

(2) Provision of accumulated health information Since the health information accumulated in the health information DB 32 becomes influential basic information for marketing and recommendation, the health information accumulated in the health information DB 32 is used as the PHR server SV1. To the customer management server SV2. At that time, since the health information is personal information, the consent of the person must be obtained.

  Therefore, the PHR server SV1 performs the following processing when providing health information. FIG. 4 is a flowchart showing the processing procedure and processing contents. That is, prior to providing health information, the PHR server SV1 first transmits an agreement confirmation message to the user terminals UT1 to UTn in step S21 under the control of the agreement level setting processing unit 14. This consent confirmation message may be transmitted by e-mail, or when the user requests browsing of health information using the browser of the use terminals UT1 to UTn, may be transmitted by the web page. .

  The consent confirmation message includes, for example, a selection button for selecting whether to agree with the provision of health information, and a selection button for selecting an agreement level when agreeing. As the consent level, a first level “high level” for agreeing to provide raw data of health information, and a second consent level “low level” for agreeing only to provide information indicating the tendency of changes in health information. Is prepared.

  When the user operates the selection button in the consent confirmation message, the selection information is sent from the user terminals UT1 to UTn to the PHR server SV1 via the mobile network NW2. When the PHR server SV1 receives the selection information by the communication interface 2, the “agreement level” in the case of agreeing with the “presence / absence of consent” from the received selection information in step S22 under the control of the consent level setting processing unit 14. , And the information indicating the identified “presence / absence of consent” and “consent level” is stored in the consent level storage unit 33 in association with the user ID.

  When receiving a health information provision request from the customer management server SV2 in this state, the PHR server SV1 first reads the corresponding consent information from the consent level storage unit 33 under the control of the health information provision control unit 15, If you agree with the presence or absence of consent based on the information, determine the consent level. As a result of the determination, if the user does not agree, the health information is not provided and the process returns to the standby state.

  On the other hand, if they agree, it is determined in step S23 whether the consent level is “high level” or “low level”. If it is “high level”, the process proceeds to step S24 to select health information, reads the corresponding health information from the health information DB 32, and reads the read health information from the communication network 2 in step S26. It transmits to customer management server SV2. In this case, the service provider who operates the customer management server SV2 can perform accurate marketing and recommended services for information on products and services based on detailed health information (numerical values) of the user.

  On the other hand, if the consent level is “low level”, the process proceeds to step S25 to select statistical data, the corresponding statistical data is read from the statistical data storage unit 31, and the read statistical data is stored in step S26. Is transmitted from the communication network 2 to the requesting customer management server SV2. Therefore, in this case, the service provider who operates the customer management server SV2 has a tendency to change the user's health information from the statistical data, for example, weight heavy / standard / light, blood pressure high / standard / low, and large abdominal circumference.・ Understand the standards and small, and based on the results, marketing and recommendation services can be implemented as much as possible.

(effect)
As described above in detail, in one embodiment of the present invention, statistical data representing the tendency of changes in health information received in a past fixed period is calculated for each user and for each type of health information. . In this state, when the user's health information is received, a predicted value is calculated based on the statistical data corresponding to the received health information, and the ratio of the difference between the predicted value and the actually measured value to the predicted value Z is calculated, and it is determined whether or not the difference ratio Z is within a preset threshold range. Then, based on the determination result, it is controlled whether the actually measured value of the received health information is stored in the health information DB 32 or discarded.

  Therefore, if the actual measurement value included in the newly received health information is significantly different from the value predicted from the past measurement value beyond the set range, it may not be the health information of the user himself / herself. It can be assumed that the information is high and the health information is not stored. That is, when the health information is stored, in addition to the verification of the user ID, gentle authentication based on the health information is performed, so that even if an incorrect input of the user ID or spoofing occurs, the health information It is possible to prevent unnecessary registration. In addition, the user only has to enter the user ID, and it is not necessary to input other authentication information such as a password, so the operational burden is reduced accordingly, which makes the user unaccustomed to the elderly and equipment operation. People can easily use the PHR service.

  Further, in the present embodiment, information indicating “presence / absence of consent” and “agreement level” selected and specified by the user himself / herself is stored in the consent level storage unit 33, and health information is provided to the customer management server SV2. If the user agrees with the consent information based on the consent information stored in the consent level storage unit 33, the consent level is determined. If the result of this determination is that the user agrees and the consent level is “high”, the health information is read from the health information DB 32 and transmitted to the customer management server SV2. On the other hand, if the consent level is “low level”, the corresponding statistical data is read from the statistical data storage unit 31 and transmitted to the customer management server SV2.

  Therefore, for other service providers, it is possible to receive statistical information on health information from users who do not want the health information to be used as it is. Further, in the PHR server SV1, when the consent level is “low level”, the statistical data prepared for use in the above-described loose authentication may be transmitted as it is to the customer management server SV2. There is no need to separately create information to be provided in the case of “low level”.

[Other Embodiments]
In the above embodiment, the case where the storage unit 3 is provided in the PHR server SV1 has been described as an example. However, the storage unit 3 is provided in a storage server independent of the PHR server SV1, and the WAN or LAN (Local Area) is connected between these servers. (Network) or the like.

  Others, such as statistical data calculation processing and authentication processing procedures and processing details using this statistical data, health information provision processing procedures and processing details according to consent level, types of health information, number of consent level settings, etc. However, various modifications can be made without departing from the scope of the present invention.

  In short, the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Further, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

  SV1 ... PHR server, SV2 ... customer management server, UT1 to UTn ... user terminal, HS ... health care spot, RT ... reception terminal, VD1 to VDk ... health equipment, ST1 to STm ... measurement terminal, NW1 ... wide area network (WAN), NW2 ... mobile network, NW3 ... local area network (LAN), CD ... IC card, 1 ... control unit, 2 ... communication interface, 3 ... storage unit, 11 ... statistical data calculation unit, 12 ... authentication processing unit , 13 ... health information registration processing unit, 14 ... consent level setting processing unit, 15 ... health information provision control unit, 31 ... statistical data storage unit, 32 ... health information database (health information DB), 33 ... consent level storage unit.

Claims (7)

A health information management device that receives user health information measured by a health device via a communication network and stores the received health information in a database in association with corresponding user identification information,
Based on a plurality of past health information with different measurement times accumulated in the database, statistical information representing the tendency of the change is calculated, and the calculated statistical information is stored in association with corresponding user identification information. Statistical information calculation means,
Means for calculating a predicted value at the measurement time of the newly received health information based on the stored statistical information when the health information measured by the health device is newly received;
Means for comparing the measured value included in the newly received health information with the calculated predicted value and determining whether the difference is within a preset range;
If the difference is within the preset range as a result of the determination, the newly received health information is regarded as having a high probability of being the user's health information, and the newly received health information Means for storing information in the database in association with identification information of the user ;
If the difference is outside the preset range as a result of the determination, the newly received health information is regarded as having a low probability of being the user's health information, and the newly received A health information management apparatus comprising: means for discarding health information. Means for accepting input of information representing the user's consent level for diversion of the health information stored in the database;
When the input consent level is the first level, the health information stored in the database is read and transmitted, and when the input consent level is the second level lower than the first level The health information management apparatus according to claim 1, further comprising: means for reading and transmitting the stored statistical information.   The statistical information calculation means obtains an approximate expression from a plurality of past health information with different measurement times accumulated in the database for each user, and associates the obtained approximate expression with the identification information of the user. The health information management apparatus according to claim 1 or 2, wherein the health information management apparatus is stored as statistical information. Health information executed by a health information management device that receives user health information measured by a health device via a communication network and stores the received health information in a database in association with the corresponding user identification information A management method,
Based on a plurality of past health information with different measurement times accumulated in the database, statistical information representing the tendency of the change is calculated, and the calculated statistical information is stored in association with corresponding user identification information. Statistical information calculation process,
When the health information measured by the health device is newly received, based on the stored statistical information, a process of calculating a predicted value at the measurement time of the newly received health information;
Comparing the measured value included in the newly received health information with the calculated predicted value and determining whether the difference is within a preset range;
If the difference is within the preset range as a result of the determination, the newly received health information is regarded as having a high probability of being the user's health information, and the newly received health information Storing information in the database in association with information identifying the user ;
If the difference is outside the preset range as a result of the determination, the newly received health information is regarded as having a low probability of being the user's health information, and the newly received A health information management method comprising: a step of discarding health information. Receiving an input of information indicating the user's consent level for diversion of the health information stored in the database, and storing the information indicating the input consent level;
When the stored consent level is the first level, the health information stored in the database is read and transmitted, and when the stored consent level is the second level lower than the first level 5. The health information management method according to claim 4, further comprising: reading and transmitting the stored statistical information.   In the statistical information calculation process, an approximate expression of a plurality of past health information with different measurement times accumulated in the database is obtained for each user, and the obtained approximate expression is associated with the identification information of the user to obtain statistical information. 6. The health information management method according to claim 4, wherein the health information management method is stored as:   The program which makes the computer with which the said health information management apparatus performs the process which the said each means with which the health information management apparatus in any one of Claim 1 thru | or 3 has comprises.

Images