JP2013016031A - Data management system, data management method, and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide novel means for displaying plural types of data registered as data relating to the health of a user.SOLUTION: A data management system 1 includes: a registration reception unit 10 for receiving data registration from each user by data type; a registered data storage unit 20 for storing the registered data; a classification rule retention unit 60 for retaining a classification rule for classifying plural data types into a predetermined number of groups; an importance calculation unit 70 for calculating the importance of each of the predetermined number of groups at that point in time on the basis of at least one of the content of the registered data of each of the plural data types, an operation history of a user, an operation history of the other user, a current date and time, and a user's current position; a group extraction unit 80 for extracting some groups from the predetermined number of groups on the basis of the importance of each group; and a display unit 90 for displaying the registered data of the data types included in the extracted groups on one screen as a list.

Description

  The present invention relates to a data management system, a data management method, and a program.

  In recent years, services have been developed for each user to manage their own health data. Examples of health-related data include height, weight, examination history, examination fee, prescription drug information, and the like. According to the service, the user can electronically register the data related to health as described above and manage the data by himself / herself. And you can browse the data about your registered health at any time you like.

  Patent Document 1 discloses a medical information display apparatus that divides an information display area of a display unit into a plurality of sub-screens and displays medical information on the divided sub-screens. When the second child screen is further selected in a state where the first child screen is selected by the operation input accepting unit and the operation input accepting unit, the medical information being displayed on the first child screen Is displayed on the second sub-screen, and display control means for displaying the medical information being displayed on the second sub-screen on the first sub-screen is described. .

JP 2010-015193 A

  As described above, the present inventor has found the following problems in a service for managing data related to user health and displaying the data on a display.

  As one of the registration data browsing methods, various registration data (weight, examination fee, etc.) can be individually displayed on a display and browsed. However, in the case of the browsing method, when there are many types of registration data to be checked by the user, the user has to repeatedly perform the process of sequentially displaying various registration data on the display, which is troublesome.

  In view of this, the present inventor has examined a means for simultaneously displaying a list of all of a plurality of types of registered data as means for solving the above-described disadvantages. However, since the display space for registration data is limited, the amount of information that can be displayed in a list while ensuring the visibility of the user is limited. For this reason, when there are many types of registered data, it is difficult to display them in a list.

  Therefore, an object of the present invention is to provide a new display means for a plurality of types of registered data registered as data relating to user health.

  According to the present invention, there is provided a data management system for managing data relating to the health of each user, registration acceptance means for accepting data registration from each user for each data type, and registration data accepted by the registration acceptance means. Registered data storage means for storing, classification rule holding means for holding a classification rule for classifying a plurality of the data types into a predetermined number of groups, contents of registered data for each of the plurality of data types, operation history by the user, etc. Importance level calculating means for calculating the current importance level of each of the predetermined number of groups based on at least one of the user's operation history, the current date and time, and the current position of the user, and the importance level calculating means Group extracting means for extracting a part of the groups from the predetermined number of groups based on the importance of each group calculated by The registration data of the data type included in the group which the group extracting means has extracted, the data management system and a display means for displaying a list in one screen is provided.

  According to the present invention, there is also provided a data management method for managing data relating to the health of each user, a registration receiving step for receiving and storing data registration from each user for each data type, and a plurality of the data types specified. At least one of registered data contents of each of the plurality of data types, an operation history by a user, an operation history by another user, a current date and time, and a current position of the user Based on the importance calculation step of calculating the current importance of each of the predetermined number of groups, and based on the importance of each group calculated in the importance calculation step, A group extraction step of extracting a part of the group from the group, and the data type included in the group extracted in the group extraction step The registration data, the data management method and a display step of displaying a list in one screen is provided.

  According to the present invention, there is also provided a program for managing data relating to the health of each user, wherein the computer is a registration receiving unit that receives data registration from each user for each data type, and the registration receiving unit receives the registration. Registered data storage means for storing the registered data, classification rule holding means for holding a classification rule for classifying the plurality of data types into a predetermined number of groups, contents of registered data for each of the plurality of data types, operation history by the user Importance level calculating means for calculating the current level of importance of each of the predetermined number of groups based on at least one of the operation history by other users, the current date and time, and the current position of the user, the importance level calculation Based on the importance of each group calculated by the means, a group extraction that extracts some of the groups from the predetermined number of groups. Means, the registered data of the data type contained in the said group of group extraction unit and extracted, display means for displaying a list within one screen, a program for causing the function is provided as.

  According to the present invention, a new display means for a plurality of types of registered data registered as data relating to the health of the user is realized.

It is an example of a functional block diagram of a data management system of this embodiment. It is the conceptual diagram which showed typically an example of a mode that classify | categorizes a data type into a predetermined number of groups. It is the figure which showed an example of the display screen which a display part implement | achieves. It is the flowchart which showed an example of the flow of a process of the data management method of this embodiment.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  The apparatus according to the present embodiment includes an arbitrary computer CPU, memory, and a program loaded in the memory (a program stored in the memory in advance from the stage of shipping the apparatus, a storage medium such as a CD, and the like on the Internet). And a storage unit such as a hard disk for storing the program, and a network connection interface, and any combination of hardware and software. Those skilled in the art will understand that there are various modifications to the implementation method and apparatus.

  Also, the functional block diagram used in the description of the present embodiment shows functional unit blocks, not hardware unit configurations. In these drawings, each device is described as being realized by one device, but the means for realizing it is not limited to this. That is, it may be a physically separated configuration or a logically separated configuration.

  First, an outline of the present embodiment will be described.

  The data management system of this embodiment receives registration of data regarding the health of each user from each user, and stores and manages the data (electronic data). Types of data related to health (hereinafter referred to as “data types”) include, for example, measured biological information (height, weight, blood pressure, body temperature, etc.), health schedules such as scheduled examination dates, types and amounts of prescribed drugs, The state of taking medication, the results of medical examination, etc. can be considered.

  Further, the data management system can provide various services to the user by using such registration data. For example, the data management system is a schedule management service that manages various schedules related to the user's health, and a physical condition management that determines the physical condition of the user using registered biological information and outputs predetermined information as necessary Monitor the services, drug management services that manage the remaining amount of medicines from the amount of prescribed medicines and the state of taking medication, and registration data related to the first illness (eg, influenza). It is possible to provide a first disease management service that outputs information, a symptom management service that manages registration data related to a disease possessed by a user, and the like.

  Furthermore, the data management system can display the registration data on the screen. Among the screen display means realized by the data management system are (1) means for displaying registration data related to the service designated by the user on the screen, and (2) a plurality of services automatically extracted by the data management system. Means for displaying a list of related registration data on one screen. In the case of (2), the data management system does not extract all of the plurality of services realized by the data management system, but extracts some services and displays them in a list. Note that the data management system extracts some services as follows.

  The data management system holds classification rules for classifying a plurality of types of data into a plurality of groups. Each group corresponds to each service provided by the data management system. That is, one or more data types related to a certain service belong to a certain group, and one or more data types related to another service belong to another group. Then, the data management system classifies the plurality of types of data into a predetermined number of groups according to the classification rule, then the contents of the registered data of each of the plurality of types of data, the operation history by the user, the operation history by other users, the current The current importance level of each group (service) is calculated based on at least one of the date and time and the current position of the user. Then, the data management system extracts some groups (services) in descending order of importance, and displays a list of registered data of data types belonging to the extracted groups (services) in one screen.

  Hereinafter, the detailed configuration of the data management system of the present embodiment will be described. FIG. 1 is an example of a functional block diagram of the data management system 1 of the present embodiment.

  As shown in FIG. 1, the data management system 1 of the present embodiment includes a registration receiving unit 10, a registration data storage unit 20, a classification rule holding unit 60, an importance calculation unit 70, a group extraction unit 80, And a display unit 90. As illustrated, the data management system 1 includes one or more of a browsing instruction receiving unit 30, a user-specified data display unit 31, a browsing history storage unit 40, and another user browsing history acquisition unit 50. May be. Hereinafter, the configuration of each unit will be described.

  The registration receiving unit 10 receives data registration from each user for each data type. The means for accepting data registration is not particularly limited, and can be realized by using any input device such as a keyboard, a mouse, a touch panel display, a scanner, an operation button, and a microphone.

  The content of the data type that the registration receiving unit 10 receives registration is not particularly limited. Data types include, for example, measurement data (biological data) such as height, weight, body temperature, blood pressure, blood glucose level, schedules for health examinations, scheduled measurement dates for biometric data, scheduled medication dates, chronic diseases, Self-profiles such as past illnesses, data related to medical expenses such as medical expenses, drug costs, non-insurance medical expenses, data related to medical examinations such as medical examination results, details of interviews, types and amounts of prescribed drugs, and prescriptions The status of drug administration may be considered. The user can register with the data management system 1 each time registration data of such a data type occurs.

  The registration data storage unit 20 stores the registration data accepted by the registration receiving unit 10.

  The classification rule holding unit 60 holds a classification rule for classifying a plurality of data types into a predetermined number of groups. Each group corresponds to each service provided by the data management system. That is, one or more data types related to a certain service belong to a certain group, and one or more data types related to another service belong to another group.

  The service here is a service provided to the user by the data management system 1 using the registered data, and the following can be considered. For example, the data management system 1 determines a user's physical condition using a schedule management service for managing various schedules related to the user's health, or registered biometric information, and outputs a predetermined information as necessary. Monitors management services, drug management services that manage the remaining amount of medicines based on the amount of prescribed medicines and the status of medication, and registration data related to the first illness (eg, influenza), and as required The first illness management service that outputs the above information, the symptom management service that manages the registration data related to the illness that the user has, etc. can be provided.

  Here, a process of classifying a plurality of data types into a predetermined number of groups will be described using the conceptual diagram of FIG.

  In FIG. 2A, a list of data types for which the registration receiving unit 10 receives data registration is displayed. FIG. 2B shows a state where a plurality of data types are classified into five groups.

  The “physical condition management G (group)” shown in (B) corresponds to a physical condition management service that determines the physical condition of the user using the registered biological information and outputs predetermined information as necessary. That is, the data type belonging to the group is a data type related to the service (and so on). As shown in the figure, data types included in the group include biological information such as body weight, blood glucose level, and body temperature.

  “Schedule management G (group)” shown in (B) corresponds to a schedule management service for managing various schedules related to the health of the user. As shown in the figure, the data type belonging to the group is a schedule including a scheduled examination date, a scheduled medication date, and the like.

  The “medicine management G (group)” shown in (B) corresponds to a drug management service that manages the remaining amount of medicine from the amount of prescribed medicine and the medication implementation status. As shown in the figure, the data types belonging to the group include drug information indicating the type and amount of the prescribed drug, the medication implementation status of the drug, and the like.

  The “first disease management G (group)” shown in (B) is a first disease management service that monitors registration data related to a first disease (eg, influenza) and outputs predetermined information as necessary. Corresponding to For example, when the first disease is influenza, as shown in the figure, the data type belonging to the group is body temperature or the like.

  “Symptom management G (group)” shown in (B) corresponds to a symptom management service that manages registration data related to a disease possessed by a user. For example, when the user suffers from diabetes, as shown in the figure, data types belonging to the group are body weight, blood glucose level, and the like.

  Here, the data type belonging to “physical condition management G (group)”, “schedule management G (group)”, “drug management G (group)” and “first disease management G (group)” is the user. It will be the same data type as that. Therefore, the classification rule that defines the group may be one that specifies in advance the data type belonging to the group.

  On the other hand, data types belonging to “symptom management G (group)” are different for each user. Therefore, the classification rule that defines the group may be, for example, defined to include the data type designated by the user in the group. In addition, the classification rule of the group automatically recognizes the disease that the user has based on the registration data received from the user and automatically selects the data type to be checked when monitoring the progress of the recognized disease. It may be determined to be included. Specifically, the following may be determined. When the user's medical condition is recorded in the registration data received from the user (for example, profile data or data in which the medical examination contents are recorded), the illness that the user suffers from is recognized based on the registration data. A user who has a disease recognized by referring to data describing the relationship between the disease and the data type to be checked when monitoring the progress of each disease (previously held by the data management system 1) Specifies the data type to be checked. Thereafter, the identified data type is included in the group.

  As described above, the classification rule can be a rule for classifying a plurality of data types into a predetermined number of groups based on the attributes of the data types. The above group is merely an example, and other groups can be included. Further, it may be configured not to include one or more of the groups exemplified above. The number of groups is a matter of design. Further, the user may be able to create a classification rule and have the classification rule holding unit 60 hold it. That is, the user may determine an arbitrary group name, input one or more data types to be included in the group, and hold the classification rule holding unit 60. As in the above example, one data type may belong to a plurality of groups (example: body weight and blood glucose level belonging to physical condition management G and symptom management G).

  The data management system 1 of this embodiment can display the registration data stored in the registration data storage unit 20 on the screen. For example, using registered template data such as graphs and tables, the registered data is displayed in a graph or a list is displayed in a table. The screen display means includes (1) means for displaying registration data related to the service designated by the user on the screen, and (2) registration data related to a plurality of services automatically extracted by the data management system. Means for displaying a list on the screen. The two display means are different at least in the following points.

“(1) displays registration data related to the service designated by the user, whereas (2) displays registration data related to the service selected by the data management system 1”

  Hereinafter, each part which implement | achieves each display means is demonstrated in order of (1) and (2).

  The browsing instruction receiving unit 30 can receive an instruction input for browsing registered data for each group (service). That is, the browsing instruction receiving unit 30 receives an instruction input for specifying a group (service) and an instruction input for displaying registration data of a data type included in the group specified by the input (related to the service). Accept from. The means for receiving the input is not particularly limited, and can be realized using any input device such as a keyboard, a mouse, a touch panel display, operation buttons, a microphone, and the like.

  In addition, the browsing instruction reception unit 30 may receive an instruction input for designating a plurality of groups (services) and an instruction input for displaying these registered data on the display at a time from the user. As such a display, for example, means for displaying a plurality of screens (windows) on a display and displaying registered data of data types included in each of a plurality of groups (services) on each screen can be considered.

  When the browsing instruction receiving unit 30 receives the instruction input as described above, the user-specified data display unit 31 displays the registration data of the data type included in the group (service) specified by the instruction on the display. When the browsing instruction receiving unit 30 receives an instruction input for displaying registration data of a plurality of groups on the display at a time, the user-specified data display unit 31 is included in each of the plurality of specified groups on the display. The registered data of the data type to be displayed is displayed. The user-specified data display unit 31 can display the registered data in a graph, display a list in a table, or display in other forms by using pre-stored template data such as a graph or a table. it can.

  The browsing history storage unit 40 displays a browsing history (browsing history) of registration data realized by the browsing instruction receiving unit 30 and the user-specified data display unit 31, that is, registration data of a data type included in a service designated by the user. The history (display history) displayed in is stored. In the browsing history (display history), information that identifies which service has been browsed (displayed) and information that can specify the start time and end time of each browsing (display) are recorded.

  Next, (2) each part which implement | achieves the means to display the list of the registration data regarding the some service which the data management system extracted automatically on one screen is demonstrated.

  The importance level calculation unit 70 determines each group based on at least one of the contents of registered data of each of the plurality of data types, the operation history by the user, the operation history by another user, the current date and time, and the current position of the user Calculate the current importance of. For example, the importance may be expressed by a score such as a maximum score of 10 or 100, or may be expressed by a rank such as A to E determination. The importance can be calculated from the following viewpoints.

  For example, the importance calculation unit 70 refers to the registration data stored in the registration data storage unit 20, and after a predetermined time (design matter, eg, 12 hours, 1 day, 3 days, 1 week) from the present time. When the schedule related to health is registered by the time point, the importance of the schedule management group may be calculated higher than when the schedule is not registered.

  Further, for example, the importance calculation unit 70 refers to the registration data stored in the registration data storage unit 20 and indicates each of the biological data such as body weight, blood glucose level, body temperature, and the healthy state that is held in advance. The degree of importance of the physical condition management group may be calculated higher as the value of the biological data is farther from the reference value by comparing with the reference value of each biological data.

  In addition, for example, the importance calculation unit 70 refers to the registration data stored in the registration data storage unit 20, calculates the remaining amount of the drug at the current time from the amount of the prescribed drug and the medication implementation status, When the calculated remaining amount is less than the predetermined amount (design items, eg, 1 day, 3 days, 1 week), the importance of the drug management group is increased compared to the case where it is greater than the predetermined amount. You may calculate high.

  Further, for example, the importance calculation unit 70 is information (for example, influenza) that indicates a relationship between each of various diseases and a time (probability time of occurrence) of the disease (probability of occurrence). -11 to April) in advance, and the closer the current time is to the onset possibility time specified by the above information, the higher the importance of the group that manages the disease (first disease management group) Also good.

  Further, for example, the importance calculation unit 70 may calculate the user's behavior pattern based on the user's browsing history (display history) stored in the browsing history storage unit 40 and may be viewed by the user at the present time. The importance of a high group may be calculated higher than the importance of other groups. The behavior pattern depends on the time of the day, the behavior pattern that depends on the day of the week, the week of the month, the first half, the middle, or the second half An action pattern depending on the date (5th, 15th, 25th) or the like, an action pattern depending on the month, season, etc. of the year can be considered.

  Further, for example, the importance level calculation unit 70 may calculate the importance level of each group using the browsing history (display history) of other users acquired by the other user browsing history acquisition unit 50. The browsing history (display history) of other users is the same as the browsing history (display history) of users stored in the browsing history storage unit 40. For example, when a plurality of users use one device and the browsing history (display history) of another user is stored in the storage device of the device, the other user browsing history acquisition unit 50 The information may be acquired. Or the other user browsing history acquisition part 50 may acquire the browsing history (display history) of the other user memorize | stored in the other apparatus via networks, such as the internet, for example.

  Based on the browsing history of one or more other users acquired in this way, the importance level calculation unit 70 determines a predetermined time from the current time (design items, such as 1 hour, 5 hours, 12 hours, 24 hours, The browsing frequency of each user's service up to 3 days, 1 week, and 1 month before may be calculated, and the more frequently viewed the service, the higher the degree of importance may be calculated.

  Further, for example, the importance calculation unit 70 may calculate the importance of each group based on the current position of the user. For example, the data management system 1 may further include a user position acquisition unit (not shown in FIG. 1) that acquires the current position information of the user from the GPS, the IP address of the access source, or the like. And the importance calculation part 70 may hold | maintain beforehand the information (position group relation information) which determined the position with a deep relationship with each group. In the location group information, for example, it is determined that the group (first disease management group) that manages the diseases to be examined at internal medicine hospitals such as influenza and colds is closely related to the location where the internal medicine hospital is located. It may be. In addition, the position group information may define that the drug management group is deeply related to the position where the pharmacy is located. In the position group information, each position may be defined by, for example, latitude / longitude information.

  The importance calculation unit 70 identifies the user's current position based on the information acquired by the user position acquisition unit, and then uses the position group relation information to identify a group that is closely related to the user's current position. . Then, the degree of importance of the identified group may be calculated higher than other groups.

  For example, from the viewpoint described above, the importance calculation unit 70 holds a function for calculating the importance for each group, and can calculate the importance of each group using the function. Here, as an example, an example of a function for calculating the importance of a symptom management group (service) including data types related to diabetes (weight, blood glucose level, etc.) is shown below.

・ Browsing frequency: 3 times or more from the current time to 1 week before → 1 point ・ Schedule: Registered schedule for “Today for Diabetes” → 3 points ・ Past usage patterns: 21-24 Time → 2 points ・ Relationship between measured value and reference value: Weight based on latest data is more than ± 2 kg from reference value → 5 points ・ Viewing frequency of other users: Calculated based on browsing history of all other users In the top 5 in the usage frequency ranking of each service

  The group extraction unit 80 extracts some groups from a predetermined number of groups classified by the classification rule based on the importance of each group calculated by the importance calculation unit 70. For example, the group extraction unit 80 extracts some groups in descending order of importance. Some numbers are design matters.

  The display unit 90 displays a list of registration data of data types included in the group extracted by the group extraction unit 80 in one screen. The registered data may be displayed as a graph using pre-registered template data, may be displayed as a table, or may be displayed in another manner. “List display in one screen” here means to display a list in a so-called page or window displayed in the display. That is, the screen size may be larger than the display, may be smaller, or may match.

  Here, FIG. 3 shows an example of a list display realized by the display unit 90. As illustrated, the display unit 90 may display a list of the extracted registration data of a plurality of groups as a portal screen of the data management system 1 in one screen. Of course, the list can be displayed as a screen different from the portal screen.

  In the illustrated portal screen, registration data of a schedule management group (service), a symptom management group (service) including data types related to diabetes, and a medical expense data management group (service) for managing medical expenses are listed. . When the screen is scrolled, registration data of other groups is displayed.

  The data management system 1 of the present embodiment described above can be realized by installing the following program in a computer, for example.

A program for managing data on the health of each user,
Computer
Registration acceptance means for accepting data registration for each data type from each user,
Registration data storage means for storing registration data received by the registration receiving means;
Classification rule holding means for holding a classification rule for classifying a plurality of the data types into a predetermined number of groups;
Based on at least one of registered data contents of each of the plurality of data types, operation history by a user, operation history by another user, current date and time, and current position of the user, the current time of each of the predetermined number of groups Importance calculation means for calculating the importance in
Group extracting means for extracting a part of the groups from the predetermined number of groups based on the importance of each group calculated by the importance calculating means;
Display means for displaying a list of the registered data of the data type included in the group extracted by the group extracting means within one screen;
Program to function as.

  Next, the data management method of this embodiment will be described. Here, (2) a flow of processing for realizing means for displaying a list of registration data related to a plurality of services automatically extracted by the data management system on one screen will be described. Prior to this processing, a registration acceptance step is performed in which data registration is received from each user for each data type (registration acceptance unit 10) and stored in the registration data storage unit 20.

  FIG. 4 is a flowchart showing an example of the processing flow of the data management method of this embodiment. As shown in the figure, the data management method includes a list display acceptance step S10, an importance calculation step S20, a group extraction step S30, and a display step S40. Note that these steps can be realized by using the data management system 1 of the present embodiment.

  In list display reception step S10, an instruction input for displaying a list of registered data of a plurality of groups automatically extracted by the data management system 1 on one screen is received from the user. For example, an instruction input for displaying a portal screen for displaying such a list may be received.

  The importance calculation step S20 is executed after receiving the instruction input in S10. In the importance calculation step S20, first, the importance calculation unit 70 classifies a plurality of data types into a predetermined number of groups according to the classification rule. Thereafter, the importance level calculation unit 70 is based on at least one of the contents of the registered data of each of the plurality of data types, the operation history by the user, the operation history by another user, the current date and time, and the current position of the user. The current importance level of each of the predetermined number of groups is calculated.

  The group extraction step S30 is executed after S20. In the group extraction step S30, the group extraction unit 80 extracts some groups from the predetermined number of groups based on the importance of each group calculated in S20. For example, the group extraction unit 80 extracts some groups in descending order of importance.

  The display step S40 is executed after S30. In the display step S40, the display unit 90 displays a list of registered data of the data types included in the group extracted in S30 on one screen (see FIG. 3).

  According to the data management system 1, data management method, and program of the present embodiment described above, the following operational effects are realized.

  In the case of the present embodiment, the data management system 1 displays a list of registered data of some data types among a plurality of registered data types. For this reason, it is possible to realize a list display of a plurality of registered data while ensuring the visibility of the registered data. As a result, the user can browse a plurality of registered data within one screen.

  In addition, the data management system 1 according to the present embodiment classifies the data types into a plurality of groups (services), and calculates the current importance of each group (service). Then, some groups (services) are extracted based on the importance, and the registration data of the data types (data types related to the services) included in the extracted groups are displayed as a list. For this reason, it is possible to realize a list display in which important items are extracted at the present time.

  In addition, the data management system 1 of this embodiment includes at least one of the contents of registered data of each of a plurality of data types, operation history by a user, operation history by another user, current date and time, and current position of the user. Based on this, the current importance of each group (service) is calculated. For this reason, the precision of the importance calculated can be improved. As a result, it is possible to realize a list display that truly displays what the user desires.

DESCRIPTION OF SYMBOLS 1 Data management system 10 Registration reception part 20 Registration data storage part 30 Browsing instruction reception part 31 User designation data display part 40 Browsing history storage part 50 Other user browsing history acquisition part 60 Classification rule holding part 70 Importance calculation part 80 Group extraction part 90 display

Claims (10)

A data management system for managing data on the health of each user,
Registration acceptance means for accepting data registration for each data type from each user;
Registration data storage means for storing registration data received by the registration receiving means;
Classification rule holding means for holding a classification rule for classifying a plurality of the data types into a predetermined number of groups;
Based on at least one of registered data contents of each of the plurality of data types, operation history by a user, operation history by another user, current date and time, and current position of the user, the current time of each of the predetermined number of groups Importance calculation means for calculating the importance at,
Group extracting means for extracting a part of the groups from the predetermined number of groups based on the importance of each group calculated by the importance calculating means;
Display means for displaying a list of the registered data of the data types included in the group extracted by the group extracting means within one screen;
A data management system. The data management system according to claim 1,
The data classification system is a rule for classifying a plurality of the data types into a predetermined number of groups based on the attributes of the data types. The data management system according to claim 2,
The registration accepting means can accept registration of a schedule related to health,
The group defined by the classification rule includes a schedule management group including the schedule as the data type,
The importance calculation means is a data management system that calculates the importance of the schedule management group higher when the schedule is registered from a current time to a time after a predetermined time than when the schedule is not registered. The data management system according to claim 2 or 3,
The registration accepting means can accept registration of biometric data as a result of measuring a user,
The group defined by the classification rule includes a physical condition management group including the biological data as the data type,
The importance calculation means compares the biological data with a reference value indicating a healthy state that is stored in advance, and the more the value of the biological data is away from the reference value, the more important the physical condition management group is. Data management system that calculates a high degree. In the data management system according to any one of claims 2 to 4,
The registration accepting means can accept registration of the amount of prescribed medicines and the medication implementation status,
The group defined by the classification rule includes a drug management group including the amount of the prescribed drug and the medication implementation status as the data type,
The importance calculation means calculates the current amount of the drug at the present time from the amount of the prescribed drug and the medication implementation status, and when the calculated remaining amount is less than a predetermined amount, A data management system that calculates the importance of the drug management group higher than when there are many. In the data management system according to any one of claims 2 to 5,
The group defined by the classification rule includes a first disease management group including data related to a first disease as the data type,
The importance calculating means holds data indicating a time when the first disease is likely to develop in advance, and the closer the current time is to the time when the first disease is more likely to occur, the first disease management group Data management system that calculates importance of In the data management system according to any one of claims 2 to 6,
Browsing instruction receiving means capable of receiving an instruction input for browsing the registered data for each group;
User designation data display means for displaying registration data of the data type included in the group that has accepted the instruction when the browsing instruction acceptance means accepts the instruction input;
Browsing history storage means for storing the browsing history of the registered data,
The importance calculation means calculates the user's behavior pattern based on the browsing history, and calculates the importance of a group that is likely to be viewed by the user at the current time higher than the importance of other groups. Data management system. In the data management system according to any one of claims 2 to 7,
It further has other user browsing history acquisition means for acquiring browsing history of the registered data of other users by one or more other users,
The importance level calculation means calculates the browsing frequency of each service from the current time to a predetermined time before based on the browsing history of the one or more other users, and the more frequently the service is browsed, the higher the importance level is. Data management system that calculates high. A data management method for managing data related to the health of each user,
A registration acceptance step for receiving and storing data registration for each data type from each user;
Refer to a classification rule for classifying a plurality of data types into a predetermined number of groups, contents of registered data of each of the plurality of data types, user operation history, operation history by other users, current date and time, user current An importance calculating step for calculating the current importance of each of the predetermined number of groups based on at least one of the positions;
A group extracting step of extracting a part of the groups from the predetermined number of groups based on the importance of each group calculated in the importance calculating step;
A display step of displaying a list of the registration data of the data type included in the group extracted in the group extraction step in one screen;
A data management method. A program for managing data on the health of each user,
Computer
Registration acceptance means for accepting data registration for each data type from each user,
Registration data storage means for storing registration data received by the registration receiving means;
Classification rule holding means for holding a classification rule for classifying a plurality of the data types into a predetermined number of groups;
Based on at least one of registered data contents of each of the plurality of data types, operation history by a user, operation history by another user, current date and time, and current position of the user, the current time of each of the predetermined number of groups Importance calculation means for calculating the importance in
Group extracting means for extracting a part of the groups from the predetermined number of groups based on the importance of each group calculated by the importance calculating means;
Display means for displaying a list of the registered data of the data type included in the group extracted by the group extracting means within one screen;
Program to function as.