Health management system, health management method, and program

Abstract

To provide appropriate health management obtained by considering diseases during pregnancy.SOLUTION: A health management system includes an information acquisition part for acquiring user information including at least life situation information (including dietary life information) showing a life situation of the user and a pregnancy situation information showing a situation related to pregnancy of the user, an onset related situation determination part for determining an onset related situation related to an onset of a disease during pregnancy of the user on the basis of the user information acquired by the information acquisition part, a recommendation part for determining contents of meals to be recommended to the user according to a preliminarily formulated recommendation rule on the basis of the onset related situation determined by the onset related situation determination part and a prescribed index value corresponding to each content of a meal, and a presentation part for presenting meal recommendation information based on a determination result of the recommendation part in a user terminal.SELECTED DRAWING: Figure 4

Description

Technical Field

[0001] The present invention relates to a health management system, a health management method, and a program.

Background Art

[0002] Based on the user information of a user as a pregnant woman and the nutrient deficiency / excess information calculated based on the nutritional analysis result information, and based on the amount of nutrients that can be obtained by the cooking of the cooking information, the dishes are ranked and presented to the user, thereby performing nutritional management according to the pregnancy duration and nutritional status of the pregnant woman. A nutritional management system is known (see, for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] There is a possibility of suffering from gestational diseases due to pregnancy. Considering such a situation, it is preferable to appropriately perform health management considering gestational diseases.

[0005] Therefore, in consideration of the above problems, an object of the present invention is to appropriately perform health management considering gestational diseases.

Means for Solving the Problems

[0006] One aspect of the present invention for solving the above problems is an information acquisition unit that acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation, and based on the user information acquired by the information acquisition unit, a morbidity-related situation determination unit that determines the morbidity-related situation regarding the onset of pregnancy diseases of the user, and based on the morbidity-related situation determined by the morbidity-related situation determination unit and a predetermined index value corresponding to each content of the diet, a recommendation unit that determines the content of the diet recommended to the user according to a pre-established recommendation rule, and a presentation unit that causes the user terminal to present diet recommendation information based on the determination result of the recommendation unit.

[0007] One aspect of the present invention is a health management method in a health management system, which includes an information acquisition step in which an information acquisition unit acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation, a morbidity-related situation determination step in which a morbidity-related situation determination unit determines the morbidity-related situation regarding the onset of pregnancy diseases of the user based on the user information acquired in the information acquisition step, a recommendation step in which a recommendation unit determines the content of the diet recommended to the user according to a pre-established recommendation rule based on the morbidity determined in the morbidity-related situation determination step and a predetermined index value corresponding to each content of the diet, and a presentation step in which a presentation unit causes the user terminal to present diet recommendation information based on the determination result of the recommendation step.

[0008] One aspect of the present invention is a program for causing a computer in a health management system to function as an information acquisition unit that acquires user information including at least life situation information indicating a user's life situation and pregnancy situation information indicating a situation related to the user's pregnancy, a morbidity-related situation determination unit that determines a morbidity-related situation regarding the onset of a gestational disease based on the user information acquired by the information acquisition unit, a recommendation unit that determines the content of a diet to be recommended to the user according to a pre-established recommendation rule based on the risk determined by the morbidity-related situation determination unit and a predetermined index value corresponding to each content of the diet, and a presentation unit that causes a user terminal to present diet recommendation information based on the determination result of the recommendation unit.

Effects of the Invention

[0009] According to the present invention, an effect can be obtained that appropriate health management considering gestational diseases is performed.

Brief Description of the Drawings

[0010]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Figure 11

Figure 12

Figure 13

Figure 14

Figure 15

Embodiments for Carrying Out the Invention

[0011] <First Embodiment> [Overall Configuration Example of Health Management System] FIG. 1 shows an overall configuration example of the health management system in the first embodiment. In the health management system of this figure, the health management device 100 executes processing related to the health management of the user U (user) who is a pregnant woman. In particular, the health management device 100 in the present embodiment executes processing according to prevention and symptom improvement of gestational diseases that may occur due to pregnancy as health management. The gestational diseases to which the health management device 100 of the present embodiment corresponds may be, for example, at least one of pregnancy-induced hypertension syndrome and gestational diabetes.

[0012] The health management device 100 is communicably connected to the user terminal 200 used by the user U via a network. In addition, in the health management system of this embodiment, experts such as dietitians N and doctors D (e.g., maternity hospitals) support the health management of user U who is a pregnant woman. For this purpose, the expert terminal 300 of dietitian N and the expert terminal 400 of doctor D (maternity hospital) are communicably connected to the health management device 100 via a network. In the health management system of this embodiment, doctor D only supports user U as a pregnant woman in terms of health, such as proposing preventive measures for pregnancy-related diseases, and does not perform examinations, treatments, etc. related to pregnancy-related diseases.

[0013] The health management device 100 may be provided as a server device on the network. In this case, the health management device 100 may be provided in a distributed manner on a plurality of server devices each assigned a predetermined function on the network. Alternatively, the health management device 100 may be provided as a cloud server.

[0014] [Regarding the health management application] A health management application is installed on the user terminal 200 owned by user U who is a pregnant woman. User U performs health management using the health management application operating on the user terminal 200. The user terminal 200 on which the health management application operates accesses the health management device 100 via the network to display the application screen of the health management application. User U is made to perform their own health management by operating on the application screen or viewing the content displayed on the application screen.

[0015] Note that instead of the health management application, a web application may be used such that by accessing the health management device 100 with the web browser installed on the user terminal 200, a health management screen as a web page is displayed on the web browser.

[0016] With reference to FIGS. 2 to 5, an operation example of the health application by the user U and an operation example of the health application according to the operation will be described. FIGS. 2 to 5 show exemplary modes of the application screen displayed on the user terminal 200.

[0017] When the user U installs the health management application on his / her user terminal 200 and uses it for the first time, the user is required to register user information. Therefore, the user operates the health management application to display, on the user terminal 200, an application screen as a user registration screen for registering user information. Note that when the health management application is launched on the user terminal 200 at a stage where the user information has not yet been registered, the user registration screen may be displayed as the initial screen.

[0018] FIG. 2(A) shows an example of the user registration screen. In the user registration screen of this figure, a user basic information area AR1 and a pregnancy-related information area AR2 are arranged. The user basic information area AR1 is an area where basic information (basic information) about the user is input by the operation of the user U. The basic information may include information items such as the name of the user U, date of birth (age may also be used), address, telephone number, email address, etc. The pregnancy-related information area AR2 is an area where information related to the pregnancy of the user U (pregnancy-related information) is input by the operation of the user U. The pregnancy-related information may include information items such as the name of the maternity hospital, the address (contact information) of the maternity hospital, the attending doctor, the expected date of delivery, the pre-pregnancy weight, height, etc. When the user U inputs the above various information items into the user registration screen, the user performs a predetermined operation (registration operation) for instructing the registration of the input information items. In response to the registration operation being performed, the user information including the information items input into the user registration screen is stored in the health management device 100. That is, the user registration is performed. By performing the user registration, the user U can use the health management application hereinafter.

[0019] The health management application can manage the prenatal examinations of user U, who is a pregnant woman, at the maternity hospital. Figure 2(B) shows an example of the form of the prenatal examination management screen corresponding to the management of prenatal examinations as the application screen of the health management application. The prenatal examination management screen in this figure corresponds to one prenatal examination, and an examination date area AR10, an examination result area AR11, an echogram area AR12, a memo area AR13 for today, a calendar area AR14, and a next appointment button BT11 are arranged.

[0020] The examination date area AR10 is an area where the date on which the corresponding examination was performed is shown. The examination result area AR11 is an area where an operation to record the examination results in the corresponding examination is performed and the recorded examination results are displayed. The echogram area AR12 is an area where an operation to import the echogram taken in the corresponding examination and the imported echogram are displayed. The memo area AR13 for today is an area where an operation to input, for example, text or the like for the content to be recorded in relation to the corresponding examination is performed and the input text is displayed. The calendar area AR14 is an area where a calendar is arranged. In the calendar, for example, the schedule of the next examination reserved by operating the next appointment button BT11 may be reflected.

[0021] In addition, the operator of the health management application provides a reservation service that enables user U, who is a pregnant woman, to make a reservation for an online nutrition guidance service as support for user U. Also, the operator of the health management application provides a reservation service that enables user U to make a reservation for an examination at the maternity hospital.

[0022] Figure 3(A) shows an example of a reservation screen on which an operation corresponding to the above reservation service is performed as the application screen of the health management application. In the reservation screen in this figure, an online nutrition guidance reservation area AR21 and an examination reservation area AR22 are arranged. The online nutrition guidance reservation area AR21 is an area where operations for reserving online nutrition guidance are performed. The reservation schedule of the online nutrition guidance specified by operations on the online nutrition guidance reservation area AR21 may be registered, for example, via the health management device 100 to the expert terminal 300 of the corresponding managing dietitian N. The medical examination reservation area AR22 is an area where operations for reserving a medical examination are performed. The reservation schedule of the medical examination specified by operations on the medical examination reservation area AR22 may be registered, for example, via the health management device 100 to the expert terminal 400 of the corresponding doctor D (maternity hospital).

[0023] The user U can receive the online nutrition guidance reserved by operating on the online nutrition guidance reservation area AR21 in Fig. 3(A) on the health management application. At this time, the health management device 100 may be controlled so that a web meeting is held between the expert terminal 300 of the managing dietitian N and the user terminal 200 of the user U. At this time, on the user terminal 200, the web meeting screen may be displayed as an application screen in the health management application.

[0024] Fig. 3(B) shows an example of the mode of the web meeting screen displayed corresponding to the above web meeting as an application screen of the health management application. In the web meeting screen of the figure, an example in which a camera image area AR31, an information sharing area AR32, and a memo area AR33 are arranged is shown. The camera image area AR31 is an area where the camera image of the meeting partner is displayed. The information sharing area AR32 is an area where information shared with the meeting partner is presented. The memo area AR33 is an area where an operation for inputting, for example, by text, what the user U wants to record is performed. The text input to the memo area AR33 may be stored in the user terminal 200 or the health management device 100 as data of the health management application.

[0025] In addition, the health management application has a function (life situation recording function) capable of recording information on the life situation of the user U who is a pregnant woman. FIG. 4(A) shows an example of the mode of a life situation recording screen corresponding to the life situation recording function as an application screen of the health management application. In the life situation recording screen of this figure, a meal information recording area AR41 and an activity recording area AR42 are arranged.

[0026] The meal information recording area AR41 is an area where an operation of inputting (recording) the meal content of the user U on the current day is performed. The user U can perform an operation of inputting the meal content of the current day into the meal information recording area AR41. The recording of the meal content may be performed, for example, by specifying the meal content (menu) ordered from the food delivery service when the user U receives a food ingredient delivery service linked to the health management application. The meal information recording area AR41 in this figure shows an example of the mode when the recording of the meal content is performed by the user U selecting the menu for the meal on the current day from among the list of meal contents (menus) that can be ordered from the food ingredient delivery service. Alternatively, the recording of the meal content may be performed by the user U selecting the menu or ingredients for the meal on the current day from the list of menus and ingredients presented in the meal information recording area AR41 regardless of the food ingredient delivery service. That is, the life situation information in the present embodiment may include information (dietary life information) indicating the dietary life based on the meals in the daily life of the user U.

[0027] In addition, in the meal information recording area AR41 of this figure, the nutritional balance evaluated according to the meal content recorded by the user U is displayed. In addition, in the blood glucose rise index value area AR411 of the meal information recording area AR41, the blood glucose rise index value obtained according to the meal content recorded by the user U is displayed. The blood sugar rise index value is an index value indicating the degree of rise in postprandial blood sugar level. Specifically, the blood sugar rise index value may be at least either one of the GL (glycemic load) value and the GI (glycemic index) value. In the figure, an example where the GL value and the GI value are displayed is shown. Also, in the blood sugar rise index value area AR411, the result of evaluating the appropriateness of the blood sugar rise index value calculated corresponding to the recorded meal is also shown. In the example of the figure, depending on whether the blood sugar rise index value calculated corresponding to the recorded meal is within the range of the allowable value obtained corresponding to the pregnancy disease situation of the user U, for example, displays such as "OK" and "NG" are made.

[0028] Such displays of nutrition-related information, blood sugar rise index values, etc. may be performed by the user terminal 200 transmitting the meal content recorded in the meal information recording area AR41 to the health management device 100, and the health management device 100 transmitting the nutrition-related information and blood sugar rise index values calculated based on the received meal content to the user terminal 200. Alternatively, the displays of nutrition-related information, blood sugar rise index values, etc. may be performed by the health management application in the user terminal 200 calculating based on the meal content recorded in the meal information recording area AR41. Also, the display in the blood sugar rise index value area AR411, the display regarding the evaluation of the appropriateness in the blood sugar rise index value calculated corresponding to the recorded meal, may be performed based on the result of comparison with the allowable value obtained corresponding to the pregnancy disease situation of the user U.

[0029] Also, the activity recording area AR42 in the figure is an area where an operation of recording the activity content of the user U on the current day is performed. The activity content recorded in the activity recording area AR42 is included in the life situation information indicating the life situation of the user U. As a specific example, the activity record area AR42 in the figure can record items such as the sleep status of the user U, the blood pressure and blood glucose level measured by the user U himself / herself. Also, in the activity record area AR42 in the figure, icons indicating the evaluation results for each item such as the recorded sleep status, blood pressure, and blood glucose level are arranged. The markings indicating the evaluation results of the items are not limited to the icons shown in the figure, and may be, for example, symbols or the like, or comments in text.

[0030] In addition, the health management application has a meal content recommendation function that recommends meal content (menus) that contribute to health management for the user U as a pregnant woman. The health management application transmits user information including the input (recorded) life situation information, pregnancy situation information, and the attributes of the user U to the health management device 100.

[0031] The life situation information in the user information may include the information recorded on the life situation record screen (Figure 4(A)). The pregnancy situation information in the user information may include the pregnancy-related information input in the pregnancy-related information AR2 on the user registration screen (Figure 2(A)) or the information (examination information) recorded on the pregnant woman examination management screen (Figure 2(B)). Also, the attributes of the user U may include information such as the date of birth, expected delivery date, height, weight, and other physical characteristics included in the user information registered corresponding to the user U. Note that the number of weeks / days of pregnancy can be calculated by using the expected delivery date and the current date. The number of weeks / days of pregnancy obtained based on the expected delivery date in this way may also be included in the pregnancy situation information. Note that such information on the attributes of the user U may be treated as being included in the life situation information (including dietary information) under the present embodiment.

[0032] The health management device 100 determines the onset-related situation regarding pregnancy diseases of the user U based on the received user information. The onset-related situation is what is called the risk regarding a so-called disease, and may include the presence or absence of the occurrence of pregnancy diseases, the high possibility of the occurrence of pregnancy diseases, the severity of the disease in the case of a determination that a pregnancy disease has occurred, and the like. The health management device 100 determines the diet content (menu) appropriate for the user U based on the determination result of the onset-related situation and the blood glucose increase index value for each pre-prepared diet content. The health management device 100 causes an application screen (diet content recommendation screen) for presenting (recommending) the determined diet content to be displayed on a health management application operating on the user terminal 200.

[0033] FIG. 4(B) shows an example mode of a diet content recommendation screen as an application screen of the health management application. In the diet content recommendation screen of the figure, a recommended diet content area AR51, a recommended menu ordering area AR52, and an advice area AR53 are arranged from bottom to top.

[0034] The recommended diet content area AR51 is an area where the diet content determined to be appropriate by the health management device 100 (that is, the diet content (recommended menu) recommended for the user U) is presented. Also, in the recommended diet content area AR51 of the figure, the blood glucose increase index values (GL value, GI value) for each presented recommended menu are presented. Note that the mode of presenting such blood glucose increase index values (GL value, GI value) is not limited to that by specific numerical values, and may be presented in a mode such as a graph or a chart, for example.

[0035] The recommended menu ordering area AR52 is an area where an operation of ordering the ingredients of the recommended menu to a food delivery service is enabled.

[0036] The advice area AR53 is an area where advice for the user U generated based on the user information of the user U is displayed. The content of the advice in the advice area AR53 may be according to the number of weeks and days of pregnancy as shown in the figure, or may be the content of advice regarding pregnancy diseases based on the onset-related situation of the user U. The content of the advice displayed in the advice area AR53 may be created by the health management application based on the user information, or may be created by the health management device 100 based on the user information.

[0037] Also, as the onset-related situation of the user U, when the health management device 100 determines based on the user information that there is a risk of pregnancy diseases occurring to the user U, a dietary content recommendation screen may be presented according to the risk of pregnancy diseases. Specifically, when it is determined that the user U has a risk of suffering from or developing pregnancy diseases as the onset-related situation of the user U, the user terminal 200 may first display, as an application screen, a risk item selection screen, and display a displayed dietary content recommendation screen corresponding to the item selected by the operation on the risk item selection screen.

[0038] Figure 5(A) shows an example of the form of the risk item selection screen. In the risk item selection screen of this figure, corresponding BT60 (BT60-1 to BT60-5) are arranged for each risk item. The user operates the button BT60 of the risk item corresponding to his / her onset-related situation from the arranged BT60. In response to the operation of the button BT60, a dietary content recommendation screen for the risk corresponding to the operated button BT60 is displayed.

[0039] Figure 5(B) shows a dietary content recommendation screen displayed in response to the operation of BT60-1 corresponding to the risk of gestational diabetes. The dietary content recommendation screen of this figure has a recommended dietary content area AR51, a recommended menu ordering area AR52, and an advice area AR53 arranged in the same way as in Figure 4(B). In the recommended diet content area AR51, the recommended menu determined by the health management device 100 is presented as something that reduces the risk of gestational diabetes. In the recommended menu ordering area AR52, the recommended menu determined by the health management device 100 is presented as an option for the menu corresponding to the ingredients ordered from the food delivery service, which reduces the risk of gestational diabetes. In the advice area AR53, advice on reducing the risk of gestational diabetes is presented.

[0040] [Functional configuration example of the health management device] Referring to FIG. 6, a functional configuration example of the health management device 100 will be described. The health management device 100 may be configured to include, as hardware, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), and the like. The functions of the health management device 100 shown in the figure are realized by the CPU provided in the health management device 100 executing a program.

[0041] The health management device 100 in FIG. 6 includes a communication unit 101, a control unit 102, and a storage unit 103. The communication unit 101 is communicably connected to the user terminal 200, the expert terminal 300 of the registered dietitian N, and the expert terminal 400 of the doctor D (maternity hospital) via a network.

[0042] The control unit 102 executes various controls in the health management device 100. The control unit 102 includes an information acquisition unit 121, an onset-related situation determination unit 122, a recommendation unit 123, and a presentation unit 124.

[0043] The information acquisition unit 121 acquires user information including the living situation information, pregnancy situation information, and attributes input by the user U into the health management application operating on the user terminal 200. The user terminal 200 transmits the input user information to the health management device 100 in response to the input of user information such as living situation information, pregnancy situation information, and attributes by the operation of the user U on the health management application. The information acquisition unit 121 of the health management device 100 acquires the user information received by the communication unit 101. The information acquisition unit 121 may store the acquired user information in the user information storage unit 131.

[0044] Also, the information acquisition unit 121 may acquire, from the user information storage unit 131, the user information used by the onset-related situation determination unit 122 when determining the onset-related situation, and deliver it to the onset-related situation determination unit 122.

[0045] The onset-related situation determination unit 122 determines the onset-related situation regarding the pregnancy-related diseases of the user U by using the user information of the user U stored in the user information storage unit 131.

[0046] The recommendation unit 123 determines the content of the diet recommended for the user U by using the onset-related situation of the user U determined by the onset-related situation determination unit 122, the blood sugar increase index values for each food ingredient and menu stored in the food ingredient index value information storage unit 135, and the recommendation rules (an example of a recommendation rule) stored in the recommendation rule storage unit 138. The content of the diet determined by the recommendation unit 123 will have an appropriate blood sugar increase index value according to the onset-related situation of the user U.

[0047] The presentation unit 124 causes the user terminal 200 to present diet recommendation information reflecting the determination result regarding the content of the diet of the recommendation unit 123. Specifically, the diet recommendation information may be the information presented in the recommended diet content area AR51 and the recommended menu order area AR52 of the diet content recommendation screen shown in FIGS. 4(B) and 5(B).

[0048] The storage unit 103 stores various types of information that the health management device 100 supports. The storage unit 103 includes a user information storage unit 131, a determination condition information storage unit 132, a foodstuff database storage unit 133, a menu database storage unit 134, a foodstuff index value information storage unit 135, an allowable maximum value table storage unit 136, an energy amount derivation information storage unit 137, and a recommended rule storage unit 138. Note that since the recommended result information storage unit 139 and the implementation related information storage unit 140 correspond to the second embodiment, the description thereof is omitted here.

[0049] The user information storage unit 131 stores user information for each user U. The determination condition information storage unit 132 stores determination condition information indicating the determination conditions used by the onset related situation determination unit 122 for determining the onset related situation.

[0050] The foodstuff database storage unit 133 stores a foodstuff database storing foodstuff information corresponding to each predetermined foodstuff.

[0051] The menu database storage unit 134 stores a menu database storing menu information regarding each menu cooked using one or more foodstuffs.

[0052] The foodstuff index value information storage unit 135 stores foodstuff index value information indicating a blood glucose increase index value for each foodstuff in the foodstuff database stored in the foodstuff database storage unit 133, for example. Further, the foodstuff index value information storage unit 135 may also store foodstuff index value information indicating a blood glucose increase index value corresponding to each menu in the menu database stored in the menu database storage unit 134.

[0053] The allowable maximum value table storage unit 136 stores an allowable maximum value table. The allowable maximum value table is a table indicating the maximum value of the allowable blood glucose increase index value according to, for example, each combination of the disease type and the onset situation of the pregnancy related disease.

[0054] The energy amount derivation information storage unit 137 stores energy amount derivation information used to derive the required energy amount of the user U. As an example, the required energy amount may be used when the recommendation unit 123 determines the content of the diet recommended to the user U.

[0055] The recommendation rule storage unit 138 stores recommendation rules. The recommendation rules indicate the rules applied when the recommendation unit 123 determines the content of the diet recommended to the user U.

[0056] [Functional configuration example of user terminal] With reference to FIG. 7, a functional configuration example of the user terminal 200 will be described. The user terminal 200 may be configured to include, as hardware, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), and the like. The functions of the user terminal 200 shown in the figure are realized by the CPU provided in the user terminal 200 executing a program.

[0057] The user terminal 200 in FIG. 7 includes a communication unit 201, a control unit 202, a storage unit 203, and a user interface unit 204. The communication unit 201 is communicably connected to the health management device 100 via a network.

[0058] The control unit 202 executes various controls in the user terminal 200. The control unit 202 includes an application handling unit 221. The application handling unit 221 executes functions corresponding to the health management application. The storage unit 203 stores various information corresponding to the user terminal 200.

[0059] The user interface unit 204 is a part that includes the user interface provided in the user terminal 200 or the user interface connected to the user terminal 200. The user interface unit 204 includes an input device for the user to perform operations and an output device for outputting images and sounds to the user. The user interface unit 204 may include, for example, a touch panel that can operate on the display surface of an image.

[0060] [Example of processing procedure] With reference to the flowchart of FIG. 8, an example of the processing procedure executed by the health management device 100 related to the recommendation of the diet content according to the onset-related situation of the user U will be described. The processing in the figure may be executed, for example, in response to a request for a diet content recommendation screen from the health management application at the timing of transitioning to the display of the diet content recommendation screen in the health management application operating on the user terminal 200. The request for the diet content recommendation screen includes the user ID of the corresponding user U.

[0061] Step S100: The information acquisition unit 121 acquires the user information of the target user from the user information storage unit 131. At this time, the information acquisition unit 121 may acquire the user information associated with the same user ID included in the received request for the diet content recommendation screen from the user information storage unit 131.

[0062] Step S102: The onset-related situation determination unit 122 determines whether the target user U is in a pregnant state based on the user information acquired in step S100. Specifically, for example, the onset-related situation determination unit 122 may determine whether the user is pregnant based on whether pregnancy situation information is included. If it is determined that the user is not pregnant, the subsequent steps may be skipped and the processing in the figure may be terminated.

[0063] Step S104: If it is determined in step S102 that the user is pregnant, the onset-related situation determination unit 122 executes the onset-related situation determination for the target user U.

[0064] Step S106: The recommendation unit 123 executes a process for determining the recommended meal content. That is, the recommendation unit 123 determines the meal content (menu) recommended for the user U according to the onset-related situation determined in step S104.

[0065] Step S108: The presentation unit 124 executes presentation control of the meal recommendation information. Specifically, the presentation unit 124 generates meal recommendation information reflecting the determination result by the recommendation unit 123 in step S106. The presentation unit 124 transmits screen information used for displaying a meal content recommendation screen reflecting the content of the generated meal recommendation information to the user terminal 200. In the user terminal 200, an application corresponding processing unit 221 corresponding to the health management application uses the received screen information to display a meal content recommendation screen on a display unit in the user interface unit 204.

[0066] Referring to the flowchart of FIG. 9, a processing procedure example of the onset-related situation determination as step S104 in FIG. 8 will be described. Step S200: The onset-related situation determination unit 122 selects a disease type to be determined. Here, the selectable disease types include gestational diabetes and pregnancy-induced hypertension syndrome. Moreover, in the present embodiment, low birth weight infants are further included as the determination targets. The selection of the disease type to be determined by the onset-related situation determination unit 122 may be executed, for example, according to an operation of selecting the disease type to be determined for the health management application of the user U. Note that the onset-related situation determination unit 122 may determine the onset-related situations corresponding to gestational diabetes, pregnancy-induced hypertension syndrome, and low birth weight infants respectively. However, in the following description, a case where the onset-related situation is determined for one disease type selected in step S200 will be taken as an example.

[0067] Step S202: The onset-related situation determination unit 122 acquires information (diagnostic item information) corresponding to the diagnostic items used for determining the onset-related situation from the user information of the target user U stored in the user information storage unit 131. The diagnostic item information may include the diagnostic items used for determining the onset-related situation of the disease type selected as the determination target among the diagnostic items included in the age and the medical examination information.

[0068] Step S204: The onset-related situation determination unit 122 makes a determination (correspondence determination) as to whether each diagnostic item included in the diagnostic item information acquired in step S202 corresponds to the disease to be determined. When making the correspondence determination of the diagnostic items, the onset-related situation determination unit 122 uses the determination condition information stored in the determination condition information storage unit 132.

[0069] FIG. 10 shows an example of the determination condition information. The determination condition information in the figure includes the diagnostic items and the reference values associated with the diagnostic items for each disease type (gestational diabetes, gestational hypertension syndrome, and low birth weight infants). The onset-related situation determination unit 122 compares the value (diagnostic value) for each diagnostic item in the diagnostic item information acquired in step S202 with the reference value of the corresponding diagnostic item in the determination condition information. Specifically, when the disease to be determined selected in step S200 is gestational diabetes, in step S202, for example, diagnostic item information based on the diagnostic items associated with the disease type as gestational diabetes shown in FIG. 10 is acquired. Then, in step S204, the onset-related situation determination unit 122 collates the diagnostic value for each diagnostic item in the diagnostic item information acquired in step S202 with the reference value of the corresponding diagnostic item in the determination condition information. The reference value may be a threshold value depending on the diagnostic item, or may be a value indicating a predetermined numerical range. As a result of the collation, it is determined whether the diagnostic value of the diagnostic item in the diagnostic item information corresponds to the target disease. In this case, if the diagnostic value of the diagnostic item in the diagnostic item information deviates from the reference value and is not within the normal value range, it is determined that it corresponds to the target disease. The onset-related situation determination unit 122 executes such a correspondence determination for each diagnostic item in the diagnostic item information.

[0070] Return the explanation to FIG. 9. Step S206: The onset-related situation determination unit 122 calculates the ratio (corresponding item ratio) R (= N1 / N2) of the number N1 of diagnostic items determined to be corresponding in step S204 to the total number N2 of diagnostic items determined in step S204.

[0071] Step S208: The onset-related situation determination unit 122 determines the onset-related situation of the user U based on the corresponding item ratio R calculated in step S206. For example, the onset-related situation determination unit 122 may determine whether the target disease has occurred (the user has contracted the target disease) based on the value of the corresponding item ratio R. Further, when the onset-related situation determination unit 122 determines that the user has not contracted the target disease, it may determine the degree of likelihood of occurrence of the target disease at present according to the value of the corresponding item ratio R. Also, when the onset-related situation determination unit 122 determines that the user has contracted the target disease, it may determine the degree (severity) of onset of the target disease at present according to the value of the corresponding item ratio R. Note that simply based on the number N1 of diagnostic items, it may be determined whether the user has contracted the target disease, the degree of likelihood of occurrence of the target disease, the degree of onset of the target disease, etc.

[0072] Referring to the flowchart of FIG. 11, a processing procedure example for determining the recommended meal content in step S106 of FIG. 8 will be described. Step S300: In the health management device 100, the recommendation unit 123 captures the determination result of the morbidity-related situation according to step S104 of FIG. 8.

[0073] Step S302: The recommendation unit 123 derives the maximum allowable index value according to the morbidity-related situation indicated by the determination result obtained in step S300. The maximum allowable index value is the maximum value of the blood glucose increase index value allowed according to the morbidity-related situation of the user U.

[0074] As a specific example, the recommendation unit 123 may derive the maximum allowable index value as follows. Here, for the sake of simplicity of explanation, an example is given in which the determination result of the morbidity-related situation is a two-stage determination of whether the degree of possibility (risk level) of the target disease type is high or low. In this case, when deriving the maximum allowable index value, the recommendation unit 123 may refer to the maximum allowable value table stored in the maximum allowable value table storage unit 136. FIG. 12 shows an example of the maximum allowable value table. The maximum allowable value table in the figure shows the appropriate range and appropriate value of the GI value corresponding to each of the risk levels "low" and "high" for each disease type of gestational diabetes, preeclampsia, and low birth weight infants. For example, the risk level "low" may indicate a state where the possibility of the target disease type is lower than a certain level. Also, the risk level "high" may indicate a state where the possibility of the target disease type is higher than a certain level or the disease has occurred. The recommendation unit 123 may derive the maximum allowable value of the GI value based on the GI value corresponding to the risk level determined for the target disease type indicated by such a maximum allowable value table. Note that the recommendation unit 123 may also derive the maximum allowable value of the GL value by referring to the maximum allowable value table corresponding to the GL value having the same structure as FIG. 12.

[0075] Return the explanation to FIG. 11. Step S304: The recommendation unit 123 extracts the living situation information and the information on the attributes of the target user U from the user information stored in the user information storage unit 131.

[0076] Step S306: The recommendation unit 123 derives the amount of energy required (required energy amount) for the target user U by using the living situation information and the attribute information extracted in step S304. Specifically, when deriving the required energy amount, the recommendation unit 123 obtains information on the build of user U (e.g., height, weight), activity level, and number of weeks (days) of pregnancy from the extracted living situation information and attribute information, for example. The recommendation unit 123 collates the obtained build and activity level information with the required energy level table stored in the energy amount derivation information storage unit 137 as one of the energy derivation information, thereby deriving the energy level (required energy level) required for the target user U. FIG. 13 shows an example of the required energy level table. The required energy level table stores the values of the required energy levels for each combination of three build categories of "obese build", "average build", and "slim build" and three activity level categories of "high", "normal", and "low" of the user. Whether user U corresponds to any of the builds of "obese build", "average build", and "slim build" can be determined by, for example, the height and weight of user U. Also, information such as BMI may be used for the determination of the build. The recommendation unit 123 may calculate the required energy amount by using, for example, the required energy amount calculation formula shown in the energy amount derivation information stored in the energy amount derivation information storage unit 137. The required energy amount calculation formula may have variables such as the above-mentioned required energy level, build, age, and number of weeks (days) of pregnancy substituted therein.

[0077] Return the explanation to FIG. 11. Step S308: The recommendation unit 123 imports the food database stored in the food database storage unit 133, the menu data stored in the menu database storage unit 134, and the food index value information stored in the food index value information storage unit 135. By thus acquiring the food database, the menu data, and the food index value information by the recommendation unit 123, the blood sugar increase index value for each food indicated by the food database is specified. Further, in the menu data, since the foods used for each menu are indicated, the blood sugar increase index value in menu units is also specified.

[0078] Also, FIG. 14 shows an example of menu data. The menu data in the figure is classified by menu type such as staple food, main dish, side dish, and nutritional adjustment side dish, and the corresponding menus are presented for each classification. For one menu, information items such as item quantity, calorie, GI value, GL value, nutrient details, and recipe (cooking method) are provided. In the figure, the information items of nutrient details and recipe are shown as links to URLs of corresponding web pages and the like.

[0079] Returning to the explanation of FIG. 11. Step S310: The recommendation unit 123 determines the recommended meal content. As the recommended meal content, it determines the menu to be recommended to the user U from among the menus stored in the menu database. At this time, the recommendation unit 123 specifies from the menu data a menu that satisfies the condition of not exceeding the maximum allowable value of the blood sugar increase index value derived in step S302 and having the same calorie as the required energy amount derived in step S306. At this time, the recommendation unit 123 may be configured to select one or more items from each of the classifications of dishes such as staple food, side dish, and nutritional adjustment side dish as the menu for one meal.

[0080] When determining the recommended menu as described above, the recommendation unit 123 may be configured to operate according to the recommendation rules stored in the recommendation rule storage unit 138. Depending on the recommendation rules, for example, as a combination of menus such as main dishes and side dishes, the menu may be determined so as to have as high a nutritional value as possible and to be an easy-to-eat combination. Also, depending on the recommendation rules, an appropriate menu may be determined according to the type of pregnancy-related disease, the number of weeks (days) of pregnancy, symptoms such as morning sickness during pregnancy, etc. Further, the menu may be determined so as to reflect the dietary preferences of the user U. The recommendation rules may solve an optimization problem of searching for a menu that best satisfies constraints such as energy and preferences from the menu data. The recommendation rules may utilize, for example, a trained machine learning model that is trained to input the maximum allowable value of the blood glucose increase index, the required energy amount, the type of pregnancy-related disease, the number of weeks (days) of pregnancy, and the symptoms during pregnancy into a learning device and determine the recommended menu.

[0081] <Second Embodiment> Next, the second embodiment will be described. The health management system of the second embodiment determines the effect (recommendation effect) of recommending a menu to the user U. The recommendation effect here may be, for example, the extent to which the recommended menu contributes to reducing the risk of the user's pregnancy-related disease. The health management system of the present embodiment changes the recommendation rules stored in the recommendation rule storage unit 138 according to the recommendation effect. With such a configuration, it becomes possible to recommend a menu with a higher effect for each user U.

[0082] The health management device 100 of the present embodiment may be the same as that in FIG. 6. In addition, in the present embodiment, the storage unit 103 is provided with a recommendation result information storage unit 139 and an implementation-related information storage unit 140. The recommendation result information storage unit 139 stores the menu recommendation result by the recommendation unit 123. The implementation-related information storage unit 140 stores information related to the implementation (implementation-related information) of the user U with respect to the menu recommendation by the recommendation unit 123. The implementation-related information may include implementation status information indicating whether the user U has incorporated the recommended menu into his / her daily diet. Further, the implementation-related information may include symptom change information indicating changes in the symptoms of pregnancy-related diseases determined based on the history of the user U's medical examination results.

[0083] The flowchart of FIG. 15 shows an example of a processing procedure corresponding to the recommendation rule change performed by the health management device 100 of the present embodiment based on the implementation-related information of the user U. The processing in the figure is a process of changing the recommendation rule corresponding to one user U. The processing in the figure may be executed periodically, or may be executed triggered by an instruction from a terminal such as the user U, the managing dietitian N, the doctor D, etc.

[0084] Step S400: In the health management device 100, the recommendation unit 123 fetches the recommendation result information of the target user U from the recommendation result information storage unit 139.

[0085] Step S402: The recommendation unit 123 fetches the implementation-related information of the target user U from the implementation-related information storage unit 140.

[0086] Step S404: The recommendation unit 123 fetches the user information of the target user U from the user information storage unit 131.

[0087] Step S406: The recommendation unit 123 determines the recommendation effect for the target user U. At this time, the recommendation unit 123 determines how effective the menu recommendation indicated by the recommendation result information fetched in step S400 was for the user U. For this purpose, the recommendation unit 123 may determine the recommendation effect based on the content of the symptom change information in the implementation-related information fetched in step S402. The recommendation effect may be determined, for example, as the presence or absence of an effect as the simplest example, or may be determined as an effect level in three or more stages according to the degree of the presence or absence of an effect. In addition, the recommendation unit 123 may estimate the factors that caused the determined recommendation effect by using the information on the implementation status in the implementation-related information captured in step S402. For example, when it is determined that no recommendation effect has been obtained, it can be estimated based on the implementation status information that the reason is that the user has not adopted the recommended menu for meals.

[0088] Step S408: Based on the determination result of the recommendation effect determined in step S406, the recommendation unit 123 changes (updates) the recommendation rules stored in the recommendation rule storage unit 138 so that the recommendation effect is enhanced. In this case, the recommendation unit 123 may change the recommendation rules according to a predetermined logic or algorithm. At this time, the recommendation unit 123 may also use the determination result regarding the factors that caused the recommendation effect to change the recommendation rules. In addition, when the recommendation rules are constructed as a learned model, the recommendation unit 123 may re-learn the learned model based on the determination result of the recommendation effect in step S406, the estimation result of the factors that caused the recommendation effect, and the like. In addition, the change of the recommendation rules may be changed by an operation of an administrator or the like.

[0089] <Modification Example> Hereinafter, modification examples corresponding to the above-described embodiments will be described. [First Modification Example] For example, experts such as a registered dietitian N or a doctor D may access the health management device 100 with their own expert terminals (300, 400) and appropriately view information among the user information, recommendation result information, implementation-related information, etc. of the user U. Moreover, experts such as a registered dietitian N or a doctor D are made to provide support information such as advice and materials regarding the prevention and symptom reduction of pregnancy-related diseases, etc. to the user U to the health management device 100. The support information provided in this way may be stored in the storage unit 103 so as to be associated with each user ID of the user U as the destination. In the health management device 100, the presentation unit 124 may be configured to present the support information provided by the expert on the health management application on the user terminal 200 of the corresponding user U. As a specific example, the support information may be displayed in the advice area AR53 (FIGS. 4(B) and 5(B)) on the meal content recommendation screen. Alternatively, although not shown, it may be presented on an application screen that aggregates the support information provided to the user U in the health management application.

[0090] [Second Modification Example] The health management system of the present embodiment may be configured to enable health management for a user U who, for example, has a pregnancy plan but is currently in a pre-pregnancy state. By enabling health management for such a pre-pregnancy user U to address pregnancy-related diseases, it becomes possible to effectively reduce the risk (likelihood of onset) of pregnancy-related diseases after the user U becomes pregnant.

[0091] In this case, the user information stored in the user information storage unit 131 in the health management device 100 may include information indicating whether the user is pregnant. Also, the determination condition information storage unit 132 may store determination condition information corresponding to each of the user U during pregnancy and the user U not during pregnancy. Among the foods and menus stored in the food database storage unit 133 and the menu database storage unit 134, those for a user U not during pregnancy may be stored. For example, for a user U not during pregnancy, low-carbohydrate items may be included to address the case of an obese body type. Also, the allowable maximum value table storage unit 136 may store an allowable maximum value table that stores different allowable maximum values of blood glucose increase index values corresponding to each of the user U during pregnancy and the user U not during pregnancy. Also, the energy amount derivation information storage unit 137 may store energy amount derivation information that stores information indicating different ways of deriving energy amounts corresponding to each of the user U during pregnancy and the user U not during pregnancy. Further, the recommended rule storage unit 138 may store recommended rules in which different rules are defined for each of the pregnant user U and the non-pregnant user U, respectively.

[0092] Note that a program for realizing the functions of the above-described health management device 100, user terminal 200, expert terminals 300, 400, etc. may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read into a computer system and executed to perform the processing of the above-described health management device 100, user terminal 200, expert terminals 300, 400, etc. Here, "reading and executing the program recorded on the recording medium into the computer system" includes installing the program into the computer system. The "computer system" as used herein is assumed to include hardware such as an OS and peripheral devices. Also, the "computer system" may include a plurality of computer devices connected via a network including a communication line such as the Internet, WAN, LAN, or dedicated line. Further, the "computer-readable recording medium" refers to a portable medium such as a flexible disk, magneto-optical disk, ROM, CD-ROM, or a storage device such as a hard disk built into the computer system. Thus, the recording medium storing the program may be a non-transitory recording medium such as a CD-ROM. Also, the recording medium includes an internal or external recording medium provided so as to be accessible from a distribution server for distributing the program. The code of the program stored in the recording medium of the distribution server may be different from the code of the program in a form executable by the terminal device. That is, as long as it can be downloaded from the distribution server and installed in a form executable by the terminal device, the form stored in the distribution server does not matter. Note that the program may be divided into a plurality of parts, downloaded at different timings, and then combined by the terminal device, or the distribution servers for distributing the respective divided programs may be different. Furthermore, the "computer-readable recording medium" is assumed to include a volatile memory (RAM) inside a computer system that becomes a server or a client when a program is transmitted via a network and holds the program for a certain period of time. Also, the above program may be for realizing a part of the above-described functions.Furthermore, it may be a so-called differential file (differential program) that can be realized in combination with a program already recorded in the computer system for the functions described above.

[0093] <Appendix> (1) One aspect of this embodiment is an information acquisition unit that acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation, and based on the user information acquired by the information acquisition unit, a morbidity-related situation determination unit that determines a morbidity-related situation regarding the onset of the user's pregnancy-related diseases, and based on the morbidity-related situation determined by the morbidity-related situation determination unit and a predetermined index value corresponding to each content of the meal, a recommendation unit that determines the content of the meal to be recommended to the user according to a pre-established recommendation rule, and a presentation unit that causes the user terminal to present meal recommendation information based on the determination result of the recommendation unit. (2) One aspect of this embodiment is the health management system according to (1), wherein the presentation unit may include a blood sugar increase index value indicating the degree of increase in the postprandial blood sugar level according to the content of the recommended meal in the meal recommendation information based on the determination result of the recommendation unit. (3) One aspect of this embodiment is the health management system according to any one of (1) to (2), wherein the presentation unit may cause the user terminal to present a blood sugar increase index value indicating the degree of increase in the postprandial blood sugar level calculated corresponding to the meal ingested by the user. (4) One aspect of this embodiment is the health management system according to (3), wherein the presentation unit may cause the user terminal to present the result of evaluation based on the comparison with the allowable value of the blood sugar increase index value derived corresponding to the user based on the determination result of the morbidity-related situation determination unit for the blood sugar increase index value calculated for the meal ingested by the user. (5) One aspect of this embodiment is the health management system according to any one of (1) to (4), wherein the information acquisition unit further acquires the implementation status of meals based on the recommended meal content, and the recommendation unit may determine the effect of the recommended meal based on the acquired implementation status and the information on the user's medical examination included in the user information. (6) One aspect of this embodiment is the health management system according to (5), wherein the recommendation unit may use the newly formulated recommendation rules based on the determination result regarding the effect of the recommended meal. (7) One aspect of this embodiment is the health management system according to any one of (1) to (6), wherein the pregnancy-related disease may be at least one of pregnancy-induced hypertension and gestational diabetes. (8) One aspect of this embodiment is the health management system according to any one of (1) to (7), comprising a determination condition information storage unit that stores determination condition information indicating reference values for each predetermined diagnostic item related to the pregnancy-related disease, and the onset-related situation determination unit may determine the onset-related situation for each diagnostic item based on the diagnostic value for each diagnostic item acquired from the user information and the reference value indicated by the determination condition information. (9) One aspect of this embodiment is the health management system according to (8), wherein the onset-related situation determination unit may determine the possibility of onset or the degree of onset based on the relationship between the total number of diagnostic items and the number of diagnostic items for which the diagnostic value deviates from the reference value. (10) One aspect of this embodiment is the health management system according to any one of (1) to (9), wherein the recommendation unit derives an allowable value of a blood glucose increase index value indicating the degree of increase in postprandial blood glucose based on the determination result of the onset-related situation determination unit, and may determine the content of the meal recommended to the user so as to satisfy the derived allowable value. (11) One aspect of this embodiment is the health management system according to (10), wherein the recommendation unit further derives the required energy amount based on information including at least one of the user's activity level and physique included in the user information, and may determine the content of the meal recommended to the user so as to satisfy the derived allowable value and the required energy amount. (12) One aspect of this embodiment is the health management system described in (11), wherein, when deriving the required energy amount, the recommendation unit may further use an additional required energy amount based on information indicating the gestational period included in the user information. (13) One aspect of this embodiment is the health management system according to any one of (1) to (12), wherein the information acquisition unit further acquires advice information regarding meals from a third party to the user, and the presentation unit may output so that the acquired advice information is presented on the user terminal. (14) One aspect of this embodiment is the health management system according to any one of (1) to (13), wherein, when the user is not pregnant, the recommendation unit uses, as a predetermined index value corresponding to each content of the meal, a predetermined index value set corresponding to a non-pregnant user, and determines the content of the meal recommended to the user according to a recommendation rule defined corresponding to a non-pregnant user. (15) One aspect of this embodiment is a health management method in a health management system, including an information acquisition step in which an information acquisition unit acquires user information including at least life situation information indicating the life situation of the user and pregnancy situation information indicating the pregnancy situation of the user; a morbidity-related situation determination step in which a morbidity-related situation determination unit determines a morbidity-related situation regarding the onset of the user's pregnancy-related disease based on the user information acquired in the information acquisition step; a recommendation step in which a recommendation unit determines the content of the meal recommended to the user according to a pre-established recommendation rule based on the risk determined in the morbidity-related situation determination step and a predetermined index value corresponding to each content of the meal; and a presentation step in which a presentation unit causes meal recommendation information based on the determination result in the recommendation step to be presented on the user terminal. (16)One aspect of the present embodiment is a program for causing a computer in a health management system to function as an information acquisition unit that acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation, a morbidity-related situation determination unit that determines a morbidity-related situation regarding the onset of the user's pregnancy-related disease based on the user information acquired by the information acquisition unit, a recommendation unit that determines the content of the diet to be recommended to the user according to a pre-established recommendation rule based on the risk determined by the morbidity-related situation determination unit and a predetermined index value corresponding to each content of the diet, and a presentation unit that causes the user terminal to present diet recommendation information based on the determination result of the recommendation unit.

Explanation of Signs

[0094] 100 Health management device, 101 Communication unit, 102 Control unit, 103 Storage unit, 121 Information acquisition unit, 122 Morbidity-related situation determination unit, 123 Recommendation unit, 124 Presentation unit, 131 User information storage unit, 132 Determination condition information storage unit, 133 Food ingredient database storage unit, 134 Menu database storage unit, 135 Food ingredient index value information storage unit, 136 Allowable maximum value table storage unit, 137 Energy amount derivation information storage unit, 138 Recommendation rule storage unit, 139 Recommendation result information storage unit, 140 Implementation-related information storage unit, 200 User terminal, 201 Communication unit, 202 Control unit, 203 Storage unit, 204 User interface unit, 221 Application correspondence processing unit, 300 Expert terminal, 400 Expert terminal

Claims

1. An information acquisition unit that acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation; An onset-related situation determination unit that determines an onset-related situation regarding the onset of a pregnancy-related disease based on the user information acquired by the information acquisition unit; A recommendation unit that determines the content of a diet to be recommended to the user according to a pre-established recommendation rule based on the onset-related situation determined by the onset-related situation determination unit and a predetermined index value corresponding to each content of the diet; A presentation unit that causes the user terminal to present diet recommendation information based on the determination result of the recommendation unit A health management system comprising the above.

2. The presentation unit includes, in the diet recommendation information based on the determination result of the recommendation unit, a blood glucose increase index value indicating the degree of increase in the postprandial blood glucose level corresponding to the content of the recommended diet The health management system according to claim 1.

3. The presentation unit is configured to present, on the user terminal, a blood glucose increase index value indicating the degree of increase in the postprandial blood glucose level calculated corresponding to the diet ingested by the user The health management system according to claim 1 or 2.

4. For the blood glucose increase index value calculated for the diet ingested by the user, the presentation unit causes the user terminal to present the result of evaluation based on comparison with the allowable value of the blood glucose increase index value derived corresponding to the user based on the determination result of the onset-related situation determination unit The health management system according to claim 3.

5. The information acquisition unit further acquires the implementation status of the diet according to the recommended diet content, The recommendation unit determines the effect of the recommended diet based on the acquired implementation status and the information regarding the user's medical examination included in the user information The health management system according to claim 1 or 2.

6. The recommendation unit uses the newly established recommendation rule based on the determination result regarding the effect of the recommended diet The health management system according to claim 5.

7. The pregnancy-related disease is at least one of pregnancy-induced hypertension and gestational diabetes The health management system according to claim 1 or 2.

8. A determination condition information storage unit that stores determination condition information indicating reference values for each predetermined diagnostic item related to the pregnancy-related disease is provided. The onset-related situation determination unit determines an onset-related situation for each diagnostic item based on the diagnostic value for each diagnostic item obtained from the user information and the reference value indicated by the determination condition information. The health management system according to claim 1 or 2.

9. The onset-related situation determination unit determines the possibility of onset or the degree of onset based on the number of diagnostic items for which the diagnostic value deviates from the reference value. The health management system according to claim 8.

10. The recommendation unit derives an allowable value of a blood glucose increase index value indicating the degree of increase in postprandial blood glucose level based on the determination result of the onset-related situation determination unit, and determines the content of the diet recommended to the user so as to satisfy the derived allowable value. The health management system according to claim 1 or 2.

11. The recommendation unit further derives the required energy amount based on information including at least one of the user's activity level and physique included in the user information, and determines the content of the diet recommended to the user so as to satisfy the derived allowable value and the required energy amount. The health management system according to claim 10.

12. When deriving the required energy amount, the recommendation unit further uses an additional required energy amount based on information indicating the progress period of pregnancy included in the user information. The health management system according to claim 11.

13. The information acquisition unit further acquires advice information regarding the diet from a third party to the user. The presentation unit outputs so that the acquired advice information is presented on the user terminal. The health management system according to claim 1 or 2.

14. When the user is not pregnant, the recommendation unit uses a predetermined index value set for a non-pregnant user as a predetermined index value corresponding to each diet content, and determines the content of the diet recommended to the user according to the recommendation rules defined for non-pregnant users. The health management system according to claim 1 or 2.

15. A health management method in a health management system, An information acquisition step in which an information acquisition unit acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy-related situation. An onset-related situation determination step in which an onset-related situation determination unit determines an onset-related situation regarding the onset of a pregnancy-related disease based on the user information acquired in the information acquisition step; A recommendation step in which a recommendation unit determines the content of a diet to be recommended to the user according to a pre-established recommendation rule based on the risk determined in the onset-related situation determination step and a predetermined index value corresponding to each content of the diet; A presentation step in which a presentation unit causes diet recommendation information based on the determination result in the recommendation step to be presented on a user terminal; A health management method comprising the above steps.

16. A program for causing a computer in a health management system to function as: An information acquisition unit that acquires user information including at least life situation information indicating the user's life situation and pregnancy situation information indicating the user's pregnancy situation; An onset-related situation determination unit that determines an onset-related situation regarding the onset of a pregnancy-related disease based on the user information acquired by the information acquisition unit; A recommendation unit that determines the content of a diet to be recommended to the user according to a pre-established recommendation rule based on the risk determined by the onset-related situation determination unit and a predetermined index value corresponding to each content of the diet; A presentation unit that causes diet recommendation information based on the determination result of the recommendation unit to be presented on a user terminal. ​

Images