JP2003030335A - Health consultation support system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To reduce the load of a health consultant. SOLUTION: A server 11 receives an electronic food image sent from a client 20 of health consultation and nutrition analytic data on the food that the electronic image shows of the above food sent from a client 30 as dietician. The server 11 provides a recipe which shows a suitable nutrition ingestion amount for the health consulting person indicated by the client 30 as a medical staff and the electronic food image as a menu recommended to the client of the health consultation.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a health consultation support system, a health consultation system, a method and a program for communicating between a health counselor and a person who receives health counseling via a communication network.

[0002]

2. Description of the Related Art Conventionally, there has been proposed a system for exchanging various kinds of information relating to health consultation between a health counselor and a person who receives the health counseling, using a communication network such as the Internet. These proposals are roughly divided into two.

The first system is a system for accepting a health consultation from a health counselor and automatically presenting an answer. In this system, a server is provided which sends questions and answers to the client (personal computer etc.) of the health consultant. Programs and H to ask questions and answers
The TML document is loaded on the server. The health counselor uses the client (terminal) to access the server and answers the questions displayed on the display screen of the client. The answer corresponding to the question is sent from the server to the client and displayed.

The second system is a system for conducting health consultation by exchanging messages between the health consultation person and the person receiving the consultation. The system uses email and voicemail to exchange messages. The applicant of the present application has already proposed a system for transferring an electronic image of a meal from a client of a health consultant to a client of a dietitian via a server and performing a health consultation using the electronic image of a meal.

[0005]

However, the above proposal has not been made until the nutritional guidance of meals.

Therefore, an object of the present invention is to provide a health counseling support system, a health counseling system, a method and a program that can provide nutritional guidance for meals.

[0007]

In order to achieve such an object, the invention of claim 1 has a storage means, can be connected to a plurality of clients, and health consultation among the plurality of clients. A health consultation support system that accepts a meal electronic image from a client of a person, registers the meal electronic image in the storage unit, and can browse the registered meal electronic image with the plurality of clients. And a means for receiving the content related to the above from the client of the medical staff among the plurality of clients, and a means for transmitting the received content to the client of the health counselor.

According to a second aspect of the present invention, in the health consultation support system according to the first aspect, the content is a meal electronic image in which a message is written.

The invention of claim 3 is the health consultation support system according to claim 1, wherein the content is video content.

According to a fourth aspect of the present invention, it has a storage means, can be connected to a plurality of clients, accepts a meal electronic image from a client of a health consultant among the plurality of clients, and registers it in the storage means. In the health consultation support system, the registered electronic meal image can be browsed by the plurality of clients, and data related to nutritional guidance about the electronic meal image is a client of the medical staff among the plurality of clients. And means for creating contents for nutritional guidance based on the received data.

According to a fifth aspect of the present invention, in the health consultation support system according to the fourth aspect, the data is nutrition analysis data, and the content is content indicating advice corresponding to the nutrition analysis data. And

[0012] According to a sixth aspect of the invention, in the health consultation support system according to the fourth aspect, the data is nutrition analysis data and data indicating a nutrition intake amount suitable for a health consultant, and the content is a health consultation. It is characterized in that it is a content showing a menu of meals to be taken by a person.

According to a seventh aspect of the invention, in the health consultation support system according to the sixth aspect, the content indicating the menu of the meal includes a meal electronic image and a recipe.

According to an eighth aspect of the present invention, in the health consultation support system according to the seventh aspect, the nutritional intake indicated by the recipe is selected from the plurality of transmitted electronic images of meals and the recipe, and the suitable nutritional intake is the optimum nutritional intake. It is characterized in that the electronic meal image and the recipe closest to are selected.

The invention according to claim 9 is the health consultation support system according to claim 7, characterized in that the content indicating the menu of the meal is prepared for a predetermined period.

According to a tenth aspect of the present invention, in the health consultation support system according to the seventh aspect, a plurality of contents indicating the menu of the meal are prepared, and a plurality of contents can be selected on the client side of the health counselor. It is characterized by further comprising means for identifying the content of the dietary preference of the health consultant based on the selected content.

The invention of claim 11 is the health consultation support system according to claim 10, characterized in that the content of the identified meal preference is reflected in the content indicating the menu of the meal.

According to a twelfth aspect of the present invention, it has a plurality of clients and a storage means, can be connected to the plurality of clients, and receives a meal electronic image from a client of a health consultant among the plurality of clients. A health counseling support system that is registered in the storage means and has a health counseling support system capable of browsing the registered meal electronic images with the plurality of clients, wherein the health counseling support system relates to the meal electronic images. And a means for receiving the content related to the nutritional guidance from the client of the medical staff among the plurality of clients, and a means for transmitting the received content to the client of the health counselor.

The invention of claim 13 has a plurality of clients and storage means, is connectable to the plurality of clients, and receives electronic meal images from the clients of the health consultants among the plurality of clients. A health counseling method of a health counseling system having a health counseling support system capable of browsing the registered electronic meal images in the plurality of clients, wherein the health counseling support system includes: It is characterized in that content related to nutritional guidance regarding meal electronic images is received from a client of a medical staff among the plurality of clients, and the received content is transmitted to the client of the health counselor.

According to a fourteenth aspect of the present invention, the storage means is provided and is connectable to a plurality of clients. The electronic meal image is received from the client of the health consultant among the plurality of clients and registered in the storage means. Then, a program executed by a health consultation support system capable of browsing the registered electronic meal images in the plurality of clients,
A step of receiving content related to nutritional guidance about the meal electronic image from a client of a medical staff among the plurality of clients, and a step of transmitting the received content to the client of the health counselor. Characterize.

[0021]

DETAILED DESCRIPTION OF THE INVENTION Embodiments of the present invention will be described in detail below with reference to the drawings.

FIG. 1 shows the configuration of the entire system (health consultation system) including the health consultation support system of the present invention.
In FIG. 1, 10 is a health consultation support system,
It has a server 11 and a shared database (abbreviated as storage means shared DB of the present invention) 12. The server 11 communicates with clients, which will be described later, and also executes support processing related to health consultation. The shared DB 12 stores data to be provided to clients, which will be described later, and data to be used in support processing executed by the server 11. Server 11
The shared DB 12 will be described later in detail.

Reference numerals 20, 30, 40 are clients,
An information processing device having a communication function such as a general-purpose personal computer can be used. Client 20
Is used by health consultants (sometimes referred to as patients).
The health counselor acquires an electronic image of the meal with a digital camera or the like, and registers it in the shared DB 12 of the health support system 10 via the client 20.

The client 30 is used by a nutritionist (sometimes referred to as a net nutritionist). Personal information of a plurality of online nutritionists is registered in the shared DB 12. The dietitian displays an electronic image of the diet of the health consultant on the display screen of the client 30 and analyzes the diet nutrition, for example, calorie calculation. The nutrition analysis result is registered in the shared DB 12 of the health consultation support system 10 for each health consultation person.

The client 40 is a client used by medical staff. Medical staff refers to those engaged in medical care by doctors, registered dietitians and the like. The medical staff uses the client 40 to view the electronic image of the meal registered by the health counselor, and creates advice to be sent to the health counselor. The clients 20 to 50 are equipped with a program called a browser for displaying an HTML document, a communication program for transmitting an electronic image of a meal to the server 11, an electronic mail program, and the like. In the present embodiment, programs having the functions of these programs are prepared and distributed to and installed in each client.

The server 11 and the shared DB 12 will be described with reference to FIG. Since a commercially available server computer can be used as the hardware of the server 11, the software configuration will be described. The following software is installed in the server 11.

Reference numeral 201 denotes a communication program, which performs a process of providing the client with an HTML document requested by the client, a process of transferring an operation instruction sent from the client to a program described later, and the like. A program 202 reads and writes data from and into various databases on the shared DB 12. Reference numeral 203 denotes an automatic nutrition balance correction program, which is one of the programs for providing health consultation support according to the present invention.

Reference numeral 204 is a menu preparation support program,
1 of the programs that provide health consultation support related to the present invention
Is one. Reference numeral 205 denotes a meal preference learning program, which is one of the programs for providing health consultation support according to the present invention. 206 is a distribution program for health counselors,
Deliver a message to a specific client among online nutritionists and medical staff clients. 207
Is a dietitian management program, which is a program that accepts registration of an online dietitian and performs a test for determining the ability of an online dietitian. Other programs 20
8 includes a program and the like for allocating a meal electronic image to be assigned to an online dietitian according to the ability (level) of the online dietitian. These programs run on the OS (operating system).

The database on the shared DB 12 will be described. The meal image + recipe DB 101 saves the electronic image of the meal sent from the health counselor for each health counselor. Further, the recipe of the meal, that is, the data describing the ingredient name, the amount, and the cooking method for creating the dish is also stored in the meal image + recipe DB 101. The electronic image data of the meal is added with additional information such as the name of the health consultant and the sending date of the electronic image. Also, as the consultant's data, the consultant inputs data relating to the consultant's lifestyle (daily bedtime, sleeping time, commuting / commuting means, etc.), accumulates it in the DB, and stores it together with the data. You may use it.

The vital data DB 102 stores vital data sent from the health consultant, that is, personal measurement data relating to the health of the health consultant, such as height, weight, blood pressure, blood glucose level, and the like. Save each. The name and delivery date of the health consultant are added to the vital data as additional information.

The nutrition analysis data DB 103 stores the nutrition analysis data sent from the online dietitian. The nutrition analysis data are, for example, intake amounts of salt, protein, calcium, iron, vitamins, etc., calories, and refer to data calculated by an online dietitian by looking at an electronic image of a meal.

The educational content DB 104 is a database for registering content for distributing advice for health consultation to health counselors and for accumulating it. For example, video data, image data, text data, sound data or Data in which these are mixed is prepared.

The educational advice DB 105 is a database for storing advice messages of medical staff for electronic meal images. In the present embodiment, the advice message created for the electronic meal image by the client 40 of the medical staff is the education advice DB 105.
Stored in. Alternatively, it is read from the educational advice DB 105 and quoted when creating the advice message.

The nutrition management standard DB 106 stores nutrition management standards used by the nutrition balance automatic correction program 203. The nutrition management standard is registered by the medical staff client for each health consultant, and serves as a standard for determining an appropriate nutrition balance.

The dietitian management data DB 107 stores personal information for managing the internet dietitian such as name, address, telephone number, level indicating ability, electronic mail address of the internet dietitian.

The HTML document 108 is sent to the client 20.
Documents read by the client 2
It is analyzed and displayed by the browser installed in 0-40. In the HTML document, a character string to be displayed on the client side, its format, a storage address of an image to be displayed, a command for accepting information input on the client side, and transferring the input information to the server 11 are described. There is. The HTML document referred to in the present embodiment includes the markup language document and the HT which have the same function as the HTML document.
An XML document which is an extension of the ML document is also included. Since the HTML document itself is well known, detailed description will be omitted. In the present embodiment, the HTML documents are displayed on the clients 20 to 40, the health counselor provides medical consultation, the online dietitian performs nutritional analysis, and the medical staff responds to the medical consultation according to the guide indicated by the HTML document. To do.

In the other DB 109, a database of various information other than the above is constructed.

The flow of information among the health counselor, online dietitian, medical staff, and health counseling support system will be described with reference to FIG.

From the client of the health counselor (patient), electronic images of meals, vital data, recipe data, lifestyle data, etc. are sent to the shared DB and stored in the shared DB. The online dietitian displays the electronic image of the meal in the shared database on his or her client to perform nutritional analysis. The results of the nutrition analysis are sent from the client of the online dietitian to the shared DB and stored in the shared DB. A nutrition management standard suitable for a health counselor is determined by a server (nutrition balance automatic correction program) in the health counseling support system based on the nutrition analysis results accumulated in a predetermined period. In addition, based on the recent nutrition analysis results and nutrition management standards, and the diet preference data of the health consultant accumulated in the shared DB, the menu of meals to be consumed by the health consultant in the future is the server in the health consultation support system. It is prepared by the (menu preparation support program) and presented to health counselors.

The health counselor browses the menu displayed on his / her client, and if he / she decides that the menu does not suit his / her preference, displays another menu recommended by the system, and selects the menu that suits his / her preference. You can select again. When the menu is selected, the taste content of the meal is learned from the recipe data of the menu by the server (meal taste learning program) in the health consultation support system and accumulated in the shared DB.

The medical staff previously shared the indicated calorie data, which is the target value of the nutrition intake of the health consultant, in the DB.
Register in. Further, the medical staff views the electronic image of the meal sent from the health counselor, which is stored in the shared database, with his or her client, creates advice for the meal, and registers it in the shared DB. The advice registered in the shared DB is browsed by a health consultant.

The health consultation support system of the present embodiment mainly provides the above-mentioned functions, but other functions will be clarified in the description of the health consultation support system below.

(A) Nutritional Guidance Method by Presenting Menu Plan Information A nutritional guidance method using a new function provided by the health consultation support system will be described below.

The health counseling support system has a function of automatically preparing a menu of dishes recommended to the health counselor, and provides the automatically prepared menu of dishes to the client of the health counselor. As an example of this, the processing contents when automatically creating a menu for one week will be described with reference to FIG.

The electronic image of the meal for one week sent from the health consultant is the meal image in the shared data DB as described above +
It is stored in the recipe DB. The nutrition analysis results for these electronic meal images are sent from an online dietitian and stored in the nutrition analysis DB of the shared DB. The health counseling support system uses the nutrition balance automatic correction function (program) to collect nutritional results for the next week based on the nutrition analysis result for one week and the nutrition intake amount (reference value) suitable for the health counselor. Calculate the amount of nutrients to be collected for each nutrient for one week. Next, the health counseling support system uses the menu preparation support function (program) to prepare a recipe that provides the calculated nutrition intake for one week as meal image + recipe D.
Obtained from B by searching. Next, the health counseling support system replaces the acquired recipe by using the data of the health counselor's food materials learned by the meal learning function (program). The meal image (meal electronic image) for one week thus created and the recipe are stored in the educational advice DB or other DB in the shared data DB. Finally, the health counseling support system provides the client of the health counselor with a meal image (meal electronic image) for one week and a recipe via the shared data DB. A health consultant can maintain his or her health by preparing and eating a meal according to the provided recipe.

(Outline of meal preference learning function) An outline of the meal preference learning function will be described with reference to FIG. The health counselor displays the recipes for the next week, so the HTML counselor's assigned storage location of the HTML document, that is, U
Using the RL, the HTML document for recipe display is fetched into the client from the HTML document group of the shared data DB. As a result, the electronic image of the meal for one week of the recipe is displayed on the display screen in a predetermined display area (the first embodiment of the present invention) as used by the browser installed in the client of the health consultant at reference numeral 1000 in FIG. Display area).
When the health consultant operates the mouse to move the mouse cursor to, for example, the meal electronic image on Tuesday and operates the left button of the mouse, a menu selection screen (second display area of the present invention) 1001 appears. When the health consultant operates the mouse to move the mouse cursor to the electronic image of any meal in the menu selection screen and operates the left mouse button,
The meal electronic image selected by the mouse cursor and the instructed meal electronic image (meal electronic image on Tuesday) in the meal electronic image indicated by reference numeral 1000 are replaced. The processing procedure of the client to be executed according to the series of operations of the health consultant is specified in advance in the HTML document.

To briefly explain, in order to display the meal image of reference numeral 1000, a command (called a tag) that defines the display positions of the seven buttons is defined in HTML. Next, the button is a graphical user interface that executes a prepared process when a character or an icon is designated by the mouse. An image can be pasted on the button, and by writing the memory location of the image to be pasted in the tag of the button, the client reads the image, in this case, the electronic meal image from the shared DB. Can be displayed.

In this embodiment, a tag for displaying a menu selection window screen 1001 and a tag for displaying a meal image button for replacement in the menu selection window screen 1001 are further operated by operating the left mouse button. A tag for replacing the button selected in the menu selection window screen 1001 with the button of the meal image in the display 1000 is defined in the HTML document.

When the health counselor designates the electronic meal image on Tuesday with the mouse and operates the right button of the mouse, a recipe as indicated by reference numeral 1002 is displayed. The recipe itself is a meal image in the shared DB of the health consultation system + recipe D
Since it is stored in B, the storage location of the recipe is defined in the HTML document.

When a meal image is selected for replacement on the menu selection screen 1001, the client sends an ID indicating the selected meal image to the health consultation support system in accordance with the command defined in the HTML document. To be This command is transmitted to the server in the health consultation support system. The server uses the preference learning program to share the recipe corresponding to the ID of the electronic meal image in the shared DB.
Take out from. Since the meal preference data of the health consultant (patient A) is stored in the shared DB, the ingredients described in the recipe are regarded as the ingredients preferred by the health consultant, and the score of the relevant ingredient in the meal preference data is calculated. Up.

The meal preference data is data composed of the type of food and the score, and the score of the corresponding food increases every time the menu selection screen is changed. The meal preference data is data that is referred to when creating a menu. The meal preference learning program will be described in detail later. The recipe registered in the meal image + recipe DB may be the health counselor (user A in FIG. 5), another health counselor (user B in FIG. 5), or another person (recipe provider in FIG. 5). The meal electronic image is sent from the client to the health counseling support system, and the sent electronic electronic image data and its recipe are registered in the meal image + recipe DB by the server. The meal electronic image is automatically registered with an ID, and the recipe is also registered with the ID of the meal electronic image added.

Although the display process of the electronic meal image and the replacement process thereof, the display process of the recipe, and the preference learning process have been described above, those skilled in the art can use the HTML for realizing these processes by the above description. It would be possible to create a document.

(Outline of Menu Creation Support Function) Next, an overview of the menu creation support function provided by the server of the health consultation support system will be described with reference to FIG. The server acquires the amount of nutrition intake for one week (on a daily basis) which is calculated in advance by the nutrition balance automatic correction function and accumulated in the shared DB. Next, only a plurality of sets of nutrition analysis data having a nutritional balance closest to the nutritional intake obtained on a daily basis, corresponding electronic meal images, and corresponding recipes are extracted (searched) from all the data in the meal image + recipe DB.

From the plurality of extracted data sets (nutrition analysis data, corresponding meal electronic images and corresponding recipes), a plurality of sets are selected in the order in which a large number of foodstuffs preferred by the health consultant (user B) are included. Sort the dataset. At the time of this rearrangement, the meal preference profile data of the individual health counselor acquired by the meal preference learning function is used. Electronic meal images and recipes in the sorted multiple data sets are health consultants (user B)
Provided to. Specifically, the electronic meal image containing the foodstuffs that the health consultant prefers most is displayed as the display 1000 in FIG.
Used in. Here, it should be noted that the electronic meal images and recipes registered by other health counselors than a certain health counselor (user B) are also recommended as the menu meals of user B. The more health counselors are registered, the more recipes are registered. Therefore, the health counselors will be introduced to dishes that they do not know, and they will not get tired of their meals and their interest in health counseling will increase.

(Outline of processing procedure of server 11) The outline processing procedure of the server 11 for realizing the functions described above and the automatic nutrition balance automatic correction function, the menu plan automatic creation function, and the detailed processing procedure for learning the meal function are described. 7-10
To explain. FIG. 7 shows a main processing procedure of processing procedures executed by the server 11. In FIG. 7, it is assumed that the health counselor (user A) has registered meal images for the past week in the meal electronic image of the shared DB + recipe DB (S
1). In addition, the nutrition analysis results for one week for those electronic meal images are shared by the nutrition analyst (net nutritionist).
It is assumed to be registered in the nutrition analysis analysis data DB of B (S2). In addition, the nutrition advisor (medical staff)
It is assumed that the nutrition intake amount (instructed calorie data) necessary for the health consultant is registered in the nutrition management standard DB in the shared database (S3). Further, it is assumed that the recipe and its electronic meal image are registered in the electronic meal image + recipe DB of the shared DB by the health consultant himself or another health consultant (S4).

The server, for example, executes the nutrition balance automatic correction program on a weekly basis, and in order to maintain the nutritional balance correction data, that is, the nutritional balance, the amount of nutritional intake to be taken on a daily basis for the next week. Is calculated (T1). The calculation result is temporarily stored in the system memory in the server 11.

The server 11 uses the program for automatically creating a menu plan, and a plurality of sets of recipes having a nutrition intake amount closest to the nutrition intake amount indicated by the menu nutrition balance correction data stored in the system memory are a meal electronic image + recipe. Retrieved from DB. The retrieved recipe is temporarily stored in the system memory.

The health counselor (user A) meal preference profile data stored in the meal preference profile DB (other DB in FIG. 3) is read out and stored in the read meal profile data and the system memory. A weekly menu plan is automatically created using multiple sets of recipes (T2). The created menu plan is stored in the menu plan DB (other DB in FIG. 3). The menu plan stored in the menu plan DB can be viewed from the client of the medical staff, and the medical staff replaces the electronic meal image displayed on the display 1 of FIG. 5 with the electronic meal image displayed on the display screen 1001. Can (S
5). The medical staff will compare the past week's diet and nutrition images to the next week's diet and nutrition images, and if there are meals with the same menu, or if there are meals on which the days of the week in the next week's menu are close. If the menu is not favorable, the electronic image of the meal is replaced.

The HTML document for this can be substantially the same as the HTML document (described above) used by the health consultant to browse the menu plan. The difference is that a tag for detecting the replaced electronic meal image and counting the number of replacements is not described.

HT for health counselors to see menu plans
The ML document is read from the shared DB, and the menu plan (display 1000 in FIG. 5) is displayed by the browser of the client. When the health counselor selects the electronic meal image on the menu selection screen, the electronic meal image on display 1000 and the selected electronic meal image are exchanged, and the server 11 displays the electronic meal image 10.
The ID of the electronic meal image newly displayed at 00 is the server 1
Sent to 1. The server 11 updates the meal preference profile data in the meal preference profile DB by the meal preference learning program (T3).

The details of the nutrition balance automatic correction process, meal preference learning, and menu plan automatic preparation (menu preparation support) in the processing of the server 11 described above will be described in order.

(Nutrition balance automatic correction program) The processing contents of the nutrition balance automatic correction program are shown in the central portion of FIG. The server 11 retrieves nutrition analysis data for the past one week from the nutrition analysis DB (T100). An example of the extracted nutrition analysis data is shown on the right side of the process T100 in the form of a diagram. Actually, the nutrition analysis data is a table in which the nutrient names and the numerical values indicating the intake amount are described.

Next, the average daily intake of each nutrient is calculated from the extracted nutrition analysis data for the past week. In this example, the intake amounts in the nutritional analysis results from Sunday to Saturday are summed for each same nutrient, and the total result is divided by 7 to obtain the average daily intake amount (T110).

Next, the optimum nutrient distribution data stored in the nutrition management standard DB, that is, a standard that has been instructed by the nutrition advisor in advance and is suitable for the health counselor, indicating the daily nutrient intake (for each nutrient). The value is read (T120). The amount of deviation between the average value obtained in step T110 and the reference value read in step T120 is calculated for each nutrient (T130).

The shift amount (nutrient distribution) for each nutrient obtained in step T130 is zero-reversed (plus of the amount of shift is minus and minus is plus), and the value is zero-reversed. The coefficient, in one example a value of 1/7, is multiplied. For nutrients that are over-taken in the past week, you can get a daily reduction. In addition, the amount of shortage can be obtained in one day. The intake adjustment amount for each nutrient obtained in step S130 is added to the nutrition analysis data from Sunday to Saturday of the past week (T14).
0). If a certain nutrient is taken too much, a negative value will be added to the adjustment amount. In this way, the intake amount of nutrients to be taken in the next week from Sunday to Saturday is stored in the nutrition analysis DB as nutrition balance instruction data. Further, in the nutrition management standard DB, step T140
The shift amount for each nutrient calculated in step S1 is stored together with the date as nutrition balance correction data (T150). The nutrition advisor uses the client to view the nutrition balance correction data and confirms that the nutrition balance correction data is within the proper range.

(Modification of Nutrition Balance Automatic Correction Program) 1) The correction coefficient used in step T140 does not have to be constant for each day of the week. Depending on the lifestyle of the health consultant,
A suitable correction coefficient may be set for each day of the week. Also, without using the past week's nutritional analysis data, the standard value (optimal nutritional analysis data) + one-week deviation amount x each day's correction coefficient is calculated to calculate each day's nutritional intake. You may.

(Meal Preference Learning Program) The processing contents of the meal preference learning program will be described with reference to FIG. When the health counselor selects a desired meal electronic image with the mouse on the menu selection screen displayed on the client screen, the ID of the meal electronic image selected by the client is sent to the server. In the server, the ID of the meal electronic image is delivered to the meal preference learning program via the communication program. The server retrieves recipe data having the same ID as the meal image ID from the meal image + recipe DB for retrieval by the meal preference learning program (T200). An example of the extracted recipe is shown in the upper left portion of FIG.

The server divides the menu name part (onion bowl) of the recipe and the character string part of the lower ingredient name and cooking method. Specifically, the first line and the second and subsequent lines of the recipe are divided by the gate processing (see the upper right portion of FIG. 9) (T22.
0). Morphological analysis (grammatical analysis of words) is performed on the character strings in the divided second line and thereafter using a noun phrase DB (database in which noun phrases are described), and only noun phrases are included in the character string. Extract from inside.

Since the synonyms are mixed in the recipe, the synonyms DB (synonyms, for example, onion, onion, onion, and a database in which the representative word onion among those synonyms is described) is extracted and referred to. The phrase is converted into a noun phrase including a representative word (T220). Alternatively, a method such as morphological analysis may be substituted by adding tags to the ingredients when creating the recipe (eg, <vegetables> onions </ vegetables>, etc.) and registering them.

Next, unnecessary noun phrases are removed from the converted noun phrases for the predetermined foodstuff. For example, in the recipe shown in FIG. 9, noun phrases such as ingredients, water, and spoons are excluded (T230). The noun phrase obtained by such processing is shown in the center right part of FIG.

Next, after reading the meal profile data in the meal preference profile DB, the meal profile data is updated. The meal profile data is a table composed of foodstuff names and their scores. If the extracted noun phrase is included in the table, the score (1 × α) assigned to that noun phrase is displayed. The score in the table of the meal preference profile DB is updated with the added score (T240 to T260). α is a coefficient for controlling the ratio of addition, and the larger the value of α, the larger the value added once. In other words, the preference learning speed can be increased. Also, preference learning can be stopped by setting α to zero.

(Menu Creation Support Program) Next, the processing contents of the menu creation support program will be described with reference to FIG. The server uses the nutritional balance instruction data corresponding to the health consultant (user) from the present to the past week, that is,
Data representing the intake amount of each nutrient to be ingested within the next week for each day of the week is read out from the management standard DB. The read data is temporarily stored in the system memory in the server (T300).

Next, the server reads out the meal preference profile data of the health consultant from the meal preference profile DB and temporarily stores it in the system memory (T310).

The server searches the nutrition analysis DB to obtain the nutrition analysis data having the nutrient distribution closest to the nutrition balance instruction data stored in the system memory in advance.

Specifically, the nutrition analysis data is sequentially read out and the distance between each nutrition analysis data and the nutrition balance instruction data is calculated. In the distance calculation, the difference (distance) in the intake amount of each nutrient is calculated, and the absolute values of the differences in all nutrients are summed up to obtain the distance between the top two data. The shorter the distance is, the closer the nutrient distribution is to each other. By this calculation, 10 pieces of nutrition analysis data corresponding to each day of the week are acquired.

Based on the ID of the electronic meal image attached to the acquired nutrition analysis data, the electronic meal image (with ID) and recipe data corresponding to the nutrition analysis data are retrieved from the electronic meal image + recipe DB and temporarily stored in the system memory. It is stored (T320).

Next, the server extracts the foodstuff noun phrase contained in the recipe data from the 10 sets of recipe data corresponding to each day of the week by the same processing as the above-mentioned (meal preference learning program). Next, the degree of preference of the health consultant for each recipe is calculated. Specifically, if the food noun phrase included in the recipe is included in the meal preference profile data of the health consultant that was read out earlier, the score of that food is added, and the score obtained as a result is the favorite of the recipe. Indicates the degree.

For example, if the ingredients in the recipe are onions, beef, and flour, and the names of beef and onions are included in the meal preference profile data, the beef score and the onion score are extracted and added. To be done. The addition result is regarded as a value indicating the degree of preference of the health consultant for the recipe dish. Scores are added for 10 sets of recipes, and the meal electronic image of the recipe having the maximum score in the addition result is used in the display of FIG. This process is performed for 10 recipes for each day of the week, and the result is stored in the corresponding storage area in the menu plan DB (T34).
0).

(B) Nutritional guidance by exchanging meal electronic images with advice Nutrition between health counselors, online nutritionists (nutrition analysts) and nutrition advisors (medical staff) via electronic meal images as shown in FIG. Although it has been described that guidance is provided, in the present embodiment, the nutrition advisor can add advice to the electronic meal image. The nutrition advisor looks at the above nutrition balance instruction data (nutrition balance correction data) and nutrition analysis data on the shared data DB,
When the nutritional balance instruction or nutritional analysis data as shown in the lower left part of FIG. 11 largely deviates from the appropriate standard (straight line in the center) as shown by an arrow, appropriate advice is added to the meal electronic image. To add the advice, a character string form message may be added to the meal electronic image by a character drawing function such as a drawing program, a painting program, a photo retouching program. In addition, a video file may be attached to a meal electronic image using a video editing program or a video synthesizing program and registered in the shared DB of the health consultation support system. Alternatively, a message may be registered as voice by a voice recording program or a voice synthesis program. In addition to the nutrition advisor, messages such as advice (including questions) are added to the electronic image of meals and registered in the shared DB by the health adviser or nutrition analyst as shown in FIG. Among nutritionists, nutrition analysts, and nutrition advisors,
Messages can be exchanged.

FIG. 12 shows an example of the flow of a specific electronic image of a meal with advice. In FIG. 12, the health consultant of the user A photographs a meal with a digital camera in step Y1, and the photographed image from the client is a meal image + recipe DB in the shared DB of the health consultation support system (indicated as meal image DB in the figure) Register with. In step Y2, the nutrition analyst browses the registered electronic meal image using the client, and registers the nutrition analysis data in the nutrition analysis DB in the shared DB of the health consultation support system. At this time, the I between the registered nutritional analysis data and the corresponding meal electronic image is
Correlation by D (I of meal electronic image to nutrition analysis data
D is added).

When the nutrition advisor (medical staff) looks at the nutrition analysis data and the like registered using the client and needs advice, the corresponding nutrition electronic image is called and displayed by the client. Using the above message creation program, write a message in a meal electronic image, create a video image, or create a voice message, and attach the created results to the meal electronic image in the shared DB. To do. An advice-added meal image DB is newly provided to avoid confusion with a meal electronic image without a message, and the meal electronic image with advice is registered in this database (step Y3). Step Y
In 4, the health counselor calls a meal electronic image with advice addressed to himself from the advice-added meal image DB and outputs it from the client (image display, video reproduction, voice output, etc.). If necessary, a question is added to the electronic image of the meal and a message is exchanged with the nutrition analyst or nutrition advisor (medical staff) via the advice addition meal DB.

(C) Nutritional Guidance by Distribution of Multimedia Contents In the above embodiment, the nutritional guidance method using the meal image sent by the health consultant (user) was described.
Multimedia content for education, stored in
For example, the method of nutritional guidance using video contents, message texts, sound contents, etc. is described.

An example of this embodiment will be described with reference to FIG. The nutrition advisor (medical staff) displays the meal image, vital data, and nutrition analysis data of the health consultant on his / her own client, and at that time, video content, comment content, suitable for nutrition guidance of the health consultant (user), The sound content is read from the shared DB, displayed on the client of the user, and selected. These contents may not only be read from the shared DB, but those created by the nutrition advisor (medical staff) on their own client may be newly registered in the shared DB. The contents selected in this way are input to the multimedia synthesizing program, and for example, multimedia contents described in the SMILE format are created and stored in the shared DB.

The health counselor (user) can read out the registered multi-video content at the client and reproduce and output the video content, the message text, and the sound content from the client as shown on the left side of FIG. 13 by the reproduction program. it can. As described above, the electronic electronic image with the message and the electronic electronic image on the shared DB to which the message is not added are read from the client by the medical staff, the health consultant, and the online dietitian as described above. May be delivered to the client of the person concerned.

Next, the flow from the manual distribution to the automatic distribution of the above multimedia contents will be described with reference to FIGS.
This will be described using 6.

The flow of manual distribution of multimedia contents is shown in the upper half of FIG. Message text (comment content DB in FIG. 14) and video content (FIG. 14) in the shared DB of the health consultation support system.
Then, the video content DB) is registered. The nutrition advisor (medical staff) uses his or her client to view the electronic image of the meal sent by the health consultant (user),
Display and confirm vital data and nutrition analysis data on the client, and read out message texts and video contents suitable for nutrition guidance of health consultants from the shared DB and select them. The selected information is sent to the multimedia compositing program, converted into SMILE format multimedia contents, and stored in the shared DB. In this process, the content selected and the nutrition analysis data are associated.

This process is shown in FIG. In this embodiment, the nutrition advisor (medical staff) displays the meal electronic image, vital data and nutrition analysis data sent from the health counselor (user) on the client (see FIG. 15).
Step A1), and in the next step, the message text and video content are read from the shared DB and selected (step A2 in FIG. 15). At that time, nutrition analysis data (text data of nutrition analysis space) is added to the nutrition analysis data message text and video content selected by the nutrition advisor (medical staff) and stored in the shared DB. Thereby, the selected content and nutrition analysis data are associated with each other.

When a predetermined amount of content stored in the shared DB is associated with nutrition analysis data, the content registrant (nutrition advisor) contacts the health consultation system operator to operate the nutrition advice automatic distribution program. . Alternatively, while manually delivering nutrition advice to some health counselors, the nutrition advice automatic delivery program is operated to other nutrition counselors.

The flow of automatic distribution of multimedia contents is shown in the lower half of FIG.

The nutrition advice automatic distribution program searches the nutrition analysis data closest to the nutrition analysis space every time the nutrition analysis data from the online dietitian is registered in the nutrition analysis data DB of the shared DB, and associates it with the data. The message text and the video content are read from the shared DB, sent to the above-mentioned multimedia compositing program, converted into the multimedia content of SMILE format, and stored in the shared DB.

This process is shown in FIG. In this embodiment, the nutritional analyst reads out the nutritional analysis data that is called when the nutritional analysis is performed by the health consultant and stored in the nutritional analysis DB (FIG. 16-B1). Next comment DB
The comment data stored in is extracted, and the comment data of which the coordinate data of the nutrition analysis space added to the comment data is the value closest to the read nutrition analysis data is extracted (FIG. 16-B2). Next, the content data stored in the content DB is searched, and the coordinate data of the nutrition analysis space added to the content data is
Content data having a value closest to the read nutrition analysis data is extracted (FIG. 16-B3). The comment data and the content data extracted here are sent to the above-mentioned multimedia synthesizing program and converted into multimedia contents in the SMILE format and stored in the shared DB.

FIG. 17 shows the procedure for delivering the above-described manually created multimedia and the procedure for delivering the automatically created multimedia. Step Q1 shows the process executed by the health consultant of the user A, and step Q2 shows the process executed by the nutrition analyst for the user A. Step Q3 shows the processing contents executed by the nutrition advisor. Step Q4 shows a process executed by the health consultant of the user B. Step Q5ha shows the processing performed by the nutrition analyst for the user B. The nutrition advice (multimedia content) for the user A is manually created by the nutrition advisor, but thereafter, the nutrition advice for the user B is automatically created by the nutrition advice creation / distribution program and sent to the client of the user B. By using the method described above, it is possible to reduce the medical staff's labor for preparing nutritional advice, and health counselors are provided with realistic nutritional advice based on nutritional status.

(D) Automatic Detection Function of Health Abnormality The health consultation support system automatically detects the health abnormality of the health counselor based on vital data and nutrition analysis data (meal analysis data) registered by the health counselor. This processing flow will be described with reference to FIG.

The server performs the following processing each time vital data or nutrition analysis data (meal analysis data) is input, or at regular intervals.

Each item of vital data, for example, weight,
Body temperature, blood pressure, each item of nutritional analysis data, such as salinity,
If there are missing data in the items such as protein and calcium, the latest data input in the past is used to perform the missing data interpolation processing (intermittent data interpolation processing in FIG. 18). Next, smoothing processing of each data is performed. In the embodiment of FIG. 18, smoothing is performed by sequentially performing averaging processing for the past three days (moving averaging processing of FIG. 18).
Next, a comparison process with the threshold value of each data set in advance by the medical staff is performed (threshold process of FIG. 18). Figure 1
In the eighth embodiment, an upper threshold value and a lower threshold value are set for each data, and when a certain data value exceeds the upper threshold value, it is determined that the data value is rising, and the lower threshold value is set. If it falls below, it is determined that the data is falling. Next, this relationship is replaced with a logical value. For example, when the threshold is exceeded, it is ON (or 1), and when the threshold is not exceeded, it is O
FF (or 0). By inputting the result obtained here into a logical expression set in advance by the medical staff, it is automatically judged whether or not it is a health abnormality (FIG. 18 logic judgment processing). The logical expression used here is text data obtained by replacing the content of interest by the medical staff with a general logical operator, and can be input by the medical staff from its own terminal. For example, total calorie rise AN
Text data such as D blood glucose level increase and exercise amount decrease. Alternatively, it may be expressed by symbols such as total calorie ↑ & blood glucose level ↑ & exercise amount ↓. Alternatively, digital signal processing may be performed on a combination of a plurality of smoothed data and processed into new measurement data to perform the above logic determination (FIG. 18 digital signal processing).

The system detects the abnormality of the health condition of the health counselor in real time by executing the abnormality detection processing for each type of data or the abnormality detection processing by the combined data in this way. If an abnormality in health is detected, for example, the name of the person with a health abnormality, the date and time when the health abnormality occurred, the content of the health abnormality, etc. can be inserted into the homepage of each user for medical staff or health consultants, Or you will be notified automatically by sending an email.

(E) Other Embodiment 1) When a health counselor, an online dietitian, or a medical staff accesses the health counseling support system, the user name and password are collated at the time of login by the health counseling support system. . As a result, various data registered by the health consultant, online nutritionist, and medical staff in the shared DB,
The content may be registered by adding the user ID used by the registrant at the time of login and the registration date and time to the registration data and content by the server of the health consultation support system. 2) Clients who can access the health consultation support system may be installed in a gymnasium or gym. This client is used by a sports instructor to view nutrition analysis data and provide appropriate exercise advice to a health consultant via a shared DB. Alternatively, the health consultant may measure vital data at the sports facility and register the vital data in the shared DB from the client of the sports facility. Further, a client is installed in a meal provider, for example, a vendor who manufactures lunch boxes and lunches, and recommended meal electronic images presented to health consultants (see FIG. 5).
1000) and recipes are also provided to these vendors. This enables the trader to view the electronic image of the meal and the recipe, produce the food, and deliver it to the health consultant. In such a case, the trader may photograph the meal and register it in the shared DB on behalf of the health consultant. 3) The shared DB of the health consultation support system may be provided on one storage device, or may be distributed and provided on a plurality of storage devices. Further, the processing executed by the server may be distributed by a plurality of computers. 4) In the above-described embodiment, the example in which the electronic meal image and other data are transferred to the client from the health consultation support system via the HTML document has been shown, but the present invention is not limited to the HTML document and other well-known software or new The communication function of the health consultation support system may be realized by using the software created in. 5) The medical staff described in this specification refers to a person who is engaged in medical care. Those who do not have medical qualifications but operate the client to register the data according to the present invention are considered to have been operated by the medical staff. Also, for health counselors, it is not necessary for the health counselor to operate the client itself, instead of the health counselor,
Even if another person operates the client, it is considered that the health counselor operates the client. The dietitian described in the above embodiment is also one of the medical staff referred to in the present invention. The nutrition analysis data may be registered by a doctor as well as a nutritionist.

[0098]

As described above, as described above,
According to the invention of 12, 13, and 14, the electronic meal image is received from the client of the health consultant, registered in the storage unit, and the registered electronic meal image is browsed by a plurality of clients. Since the content related to the nutritional guidance regarding the meal electronic image is transmitted from the client of the medical staff among the plurality of clients to the client of the health counselor, it is possible to provide the nutritional counseling to the health counselor.

According to the second aspect of the invention, since the content is a meal electronic image in which a message is written, the health consultant can easily understand which meal is good or bad.

According to the third aspect of the present invention, the content is video content, and the health counselor can see the nutritional guidance of the video content with more interest than the nutritional guidance of text alone.

According to the invention of claim 5, since the advice corresponding to the nutrition analysis data is automatically created and sent to the client of the health consultant, the labor of the medical staff is reduced.

According to the sixth aspect of the present invention, the content showing the menu of meals to be taken by the consultant is automatically created from the nutrition analysis data and the data showing the nutritional intake suitable for the health consultant. This frees the medical staff from the effort of making menus.

According to the seventh aspect, since the content showing the menu includes the electronic meal image and the recipe, the health counselor can easily understand what kind of meal to eat.

According to the eighth aspect of the present invention, the dietary electronic image and the recipe whose nutritional intake indicated by the recipe are closest to the optimal nutritional intake are selected from the plurality of transmitted electronic dietary images and recipes. This makes it possible to automatically create a menu.

According to the ninth aspect of the present invention, since the content showing the meal menu is prepared for a predetermined period, it is not necessary to provide nutritional guidance every day.

According to the tenth aspect, a plurality of contents showing meal menus are prepared, and a plurality of contents can be selected on the client side of the health counselor. Based on the selected contents, the health counselor's meal preferences are selected. Identify the content. As a result, it is possible to automatically grasp the dietary preference of the health consultant.

In the eleventh aspect of the present invention, since the content of the identified meal preference is reflected in the content indicating the meal menu, the health counselor does not dislike the instructed meal and does not obey the instruction. .

[Brief description of drawings]

FIG. 1 is a block diagram showing an overall system configuration of an embodiment of the present invention.

FIG. 2 is an explanatory diagram illustrating contents of software installed in a shared database and a server according to the embodiment of this invention.

FIG. 3 is an explanatory diagram showing a flow of information between a client and a shared database.

FIG. 4 is an explanatory diagram for explaining a nutritional guidance method by presenting menu plan information.

FIG. 5 is an explanatory diagram for explaining a meal preference learning function.

FIG. 6 is a tail explanatory diagram for explaining a menu plan creation support function.

FIG. 7 is an explanatory diagram showing a flow of menu plan information presentation.

FIG. 8 is an explanatory diagram for explaining an automatic nutrition balance correction process.

FIG. 9 is an explanatory diagram showing the contents of a meal preference learning process.

FIG. 10 is an explanatory diagram for explaining a menu (plan) creation support process.

FIG. 11 is an explanatory diagram for explaining a nutritional guidance method using an advice addition image.

FIG. 12 is an explanatory diagram showing a flow of advice additional image information.

FIG. 13 is an explanatory diagram showing the content of manual distribution of nutrition advice.

FIG. 14 is an explanatory diagram for explaining an automatic advice distribution function.

FIG. 15 is an explanatory diagram showing the content of manual distribution of nutrition advice.

FIG. 16 is an explanatory diagram showing the content of automatic nutrition advice creation processing.

FIG. 17 is an explanatory diagram showing a flow of automatic distribution of nutrition advice.

FIG. 18 is an explanatory diagram showing an automatic detection method for health abnormalities.

[Explanation of symbols]

10 Health consultation support system 11 servers 12 shared database 20-40 clients

Continued front page    (72) Inventor Masahiro Hiwatari             Asahi Kasei Co., Ltd. 1 No. 2 Samejima, Fuji City, Shizuoka Prefecture             In the company F-term (reference) 4B018 ME14 MF14

Claims (14)

[Claims] 1. A storage unit is provided, which is connectable to a plurality of clients, accepts a meal electronic image from a client of a health counselor among the plurality of clients, registers it in the storage unit, and registers the image. A health consultation support system capable of browsing meal electronic images in the plurality of clients, a means for receiving content related to nutritional guidance about the meal electronic images from a client of medical staff among the plurality of clients, A health consultation support system comprising: means for transmitting the received content to the client of the health consultation person. 2. The health consultation support system according to claim 1, wherein the content is a meal electronic image in which a message is written. 3. The health consultation support system according to claim 1, wherein the content is video content. 4. A memory device is provided, which is connectable to a plurality of clients, receives a meal electronic image from a client of a health counselor among the plurality of clients, registers the meal electronic image in the memory device, and registers the image. A health consultation support system capable of browsing meal electronic images in the plurality of clients, means for receiving data related to nutritional guidance about the meal electronic images from a client of medical staff among the plurality of clients, A health consultation support system comprising: means for creating content for nutritional guidance based on the received data. 5. The health consultation support system according to claim 4, wherein the data is nutrition analysis data, and the content is content showing advice corresponding to the nutrition analysis data. system. 6. The health consultation support system according to claim 4, wherein the data is nutrition analysis data and data indicating a suitable nutrition intake amount for a health adviser, and the content should be taken by a health adviser. A health counseling support system characterized in that the content is a menu showing meals. 7. The health consultation support system according to claim 6, wherein the content showing the menu of the meal includes a meal electronic image and a recipe. 8. The health consultation support system according to claim 7, wherein the nutritional intake indicated by the recipe is the closest to the suitable nutritional intake from among the plurality of transmitted electronic meal images and recipes. A health consultation support system characterized in that images and recipes are selected. 9. The health consultation support system according to claim 7, wherein the content indicating the menu of the meal is prepared for a predetermined period. 10. The health consultation support system according to claim 7, wherein a plurality of contents indicating the menu of the meal are prepared, and a plurality of contents can be selected on the client side of the health consultant, and the selected contents. The health consultation support system further comprising means for identifying the content of the dietary preference of the health consultant based on the above. 11. The health consultation support system according to claim 10, wherein the content of the identified meal preference is reflected in the content indicating the menu of the meal. 12. A plurality of clients and a storage unit are provided, which can be connected to the plurality of clients, accept a meal electronic image from a client of a health consultant among the plurality of clients, and store in the storage unit. A health counseling system having a health counseling support system capable of registering and browsing the registered meal electronic image with the plurality of clients, wherein the health counseling support system relates to nutritional guidance about the meal electronic image. A health counseling system comprising: means for accepting the content to be received from a client of a medical staff among the plurality of clients; and means for transmitting the accepted content to the client of the health counselor. 13. A plurality of clients and a storage unit are provided, which can be connected to the plurality of clients, accept electronic meal images from a client of a health consultant among the plurality of clients, and store the images in the storage unit. A health counseling method of a health counseling system that has a health counseling support system that registers and views the registered meal electronic image with the plurality of clients, wherein the health counseling support system includes: A health counseling method comprising: receiving content related to nutritional guidance from a client of a medical staff among the plurality of clients, and transmitting the received content to the client of the health counselor. 14. A storage means is provided, which is connectable to a plurality of clients, accepts electronic meal images from clients of health consultants among the plurality of clients,
A program executed by a health counseling support system that is registered in the storage means and that can view the registered electronic meal images with the plurality of clients, wherein the content related to nutritional guidance for the electronic meal images is A program comprising: a step of accepting from a client of a medical staff among a plurality of clients; and a step of transmitting the accepted content to the client of the health consultant.