JP7742727B2 - Information management system, information management method, and program - Google Patents

Description

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

Patent Document 1 discloses a housing life planning method that uses a method for long-term family life planning by comprehensively calculating the building's useful life, the timing of maintenance after completion of the building, and the owner's family composition.

Patent Document 2 discloses technology that provides information to a group of multiple members based on information detected about the members, enabling the necessary information to be provided individually to each member.

Patent No. 4416257 Japanese Patent Application Laid-Open No. 2019-191970

The above-mentioned conventional technology did not take into account information regarding the timing of changes in the lives of subjects such as building owners and members, and therefore was unable to appropriately output suggestions for maintaining and improving the subjects' quality of life (QOL).

In light of the above circumstances, the present invention aims to provide technology for optimally outputting suggestions to maintain and improve a subject's QOL.

One aspect of the present invention is an information management system comprising: an acquisition unit that acquires life information of a subject in response to a trigger caused by the arrival of a timing for acquiring the life information; an analysis unit that performs analysis based on the life information acquired by the acquisition unit and derives suggested information for maintaining or improving the quality of life of the subject; an output unit that outputs the suggested information derived by the analysis unit; and an update unit that updates timing information that specifies the timing when the acquisition unit acquires the life information, the timing when the analysis unit derives the suggested information, or the timing when the output unit outputs the suggested information, based on the life information acquired by the acquisition unit , wherein the update unit functions as a timing generation unit that generates the timing for acquiring the life information in order to generate the trigger caused by the arrival of the acquisition timing indicated by the updated timing information.

In one aspect of the present invention, in the information management system described above, the life information includes at least two of personal information, building information, and financial information related to the subject.

In one aspect of the present invention, in the information management system described above, the life information includes the person information and the building information.

In one aspect of the present invention, in the information management system described above, the life information includes the person information, the building information, and the financial information.

In one aspect of the present invention, in the information management system described above, the life information includes personal information and building information, and the analysis unit performs analysis based on a combination of the personal information and the building information to derive the suggested information.

In one aspect of the present invention, in the information management system described above, the life information includes at least two of personal information, building information, and financial information related to the subject, and the analysis unit performs analysis based on a combination of the at least two of these to derive the suggested information.

In one aspect of the present invention, in the information management system described above, the analysis unit performs analysis based on a combination of the person information and the building information, and derives the proposed information.

In one aspect of the present invention, in the information management system described above, the analysis unit performs analysis based on a combination of the person information, the building information, and the financial information, and derives the proposed information.

In one aspect of the present invention, the update unit updates a first timing determined by the age of the subject and a second timing determined in accordance with a change in the life information.

One aspect of the present invention is the above-mentioned information management system, wherein the acquisition unit acquires the life information when either the first timing or the second timing arrives, and the update unit updates the acquired life information.

One aspect of the present invention is the above-mentioned information management system, wherein the acquisition unit acquires the life information before at least one of the first timing and the second timing arrives, and the update unit updates the acquired life information.

In one aspect of the present invention, in the information management system, the update unit updates the first timing based on a change in the life information.

In one aspect of the present invention, in the information management system described above, the analysis unit derives the proposed information in synchronization with the first timing, and the output unit outputs the proposed information derived by the analysis unit.

In one aspect of the present invention, in the information management system described above, the analysis unit derives the proposed information in synchronization with the second timing, and the output unit outputs the proposed information derived by the analysis unit.

In one aspect of the present invention, in the information management system described above, the suggested information includes at least two of information for improving the subject's health, information for improving the subject's lifestyle, and financial information.

In one aspect of the present invention, in the information management system described above, the analysis unit derives the proposed information regarding a plan that the subject should execute by the first timing or the second timing, and the output unit outputs the proposed information derived by the analysis unit.

In one aspect of the present invention, in the information management system, the update unit updates the third timing determined by the ages of the subject's close relatives.

In one aspect of the present invention, in the information management system described above, the personal information is information obtained through interviews with the subject or information output by a sensor that senses the personal information.

One aspect of the present invention is a program for causing a computer to function as an information management system.

One aspect of the present invention is an information management method comprising: an acquisition step in which a computer acquires life information of a subject in response to a trigger caused by the arrival of a timing for acquiring the life information; an analysis step in which the computer analyzes the life information acquired by the acquisition step and derives suggested information for maintaining or improving the quality of life of the subject; an output step in which the suggested information derived by the analysis step is output; and an update step in which timing information that specifies the timing for acquiring the life information by the acquisition step, the timing for deriving the suggested information by the analysis step, or the timing for outputting the suggested information by the output step is updated based on the life information acquired by the acquisition step , wherein the update step functions as a generation step that generates the timing for acquiring the life information in order to cause the trigger to occur when the acquisition timing indicated by the updated timing information arrives .

This invention makes it possible to provide technology for optimally outputting suggestions to maintain and improve a subject's quality of life.

1 is a diagram illustrating an outline of a device configuration and a usage environment of an information management system according to an embodiment. FIG. 2 is a functional block diagram showing the functional configuration of a terminal. FIG. 2 is a diagram schematically illustrating the flow of information and the output of a timing generation unit. FIG. 1 is a diagram illustrating a database. FIG. 2 is a diagram showing an example of biometric information recorded in a biometric information database. FIG. 2 is a diagram showing an example of lifestyle information recorded in a lifestyle information database. FIG. 2 is a diagram showing an example of building information recorded in a building information database. FIG. 2 is a diagram showing an example of money information recorded in a money information database. FIG. 10 is a diagram illustrating an example of an event. FIG. 10 is a diagram illustrating an event database. FIG. 10 is a diagram illustrating the definition of timing. FIG. 10 is a diagram illustrating a timing database. FIG. 10 is a schematic diagram showing the contents of a timing database together with events. 10 is a flowchart showing the flow of processing in the information management system. FIG. 10 is a diagram illustrating an example of analysis information recorded in an analysis database. FIG. 10 is a diagram illustrating an example of analysis information recorded in an analysis database. FIG. 10 is a diagram showing an example of stress levels and events recorded in a stress database. FIG. 10 is a diagram illustrating an example of an input screen.

Figure 1 is a diagram that schematically illustrates the device configuration and usage environment of an information management system 10 in an embodiment. The terminal 100 that constitutes the information management system 10 acquires life information of the subject. The life information includes the person information, building information, and financial information shown in Figure 1, as well as events, which will be described later. The person information is information about the subject and is composed of biometric information and lifestyle information. The biometric information is information about the subject's degree of independence and level of care required, and information about the customer's motor function. The lifestyle information indicates information about the subject's lifestyle. The building information indicates information about the subject's living space (hardware aspects such as floor plan), the external space of the living space, the surrounding environment of the living space, and the location of the living space. The financial information indicates information about the residence in which the subject lives or the finances associated with the residence in which the subject's family lives.

Based on the acquired life information, terminal 100 generates timing information regarding the timing of changes in the subject's life. Furthermore, based on the acquired life information, terminal 100 performs analysis using database 200, deriving and outputting suggested information for improving the subject's quality of life (hereinafter referred to as "QOL"). The output suggested information is proposed to the subject by, for example, an advisor. Database 200 is stored in the cloud, a database server, etc.

Figure 2 is a functional block diagram showing the functional configuration of terminal 100. Terminal 100 includes a CPU (Central Processing Unit), memory, auxiliary storage device, and other components connected via a bus, and functions as a device including a communication unit 110, input unit 111, display unit 112, and control unit 120 by executing an information management program.

The communication unit 110 communicates to obtain information from the database 200. The input unit 111 is configured using input devices such as a touch panel, mouse, and keyboard. The input unit 111 may be an interface for connecting the input device to the terminal 100. In this case, the input unit 111 generates input data (e.g., instruction information indicating instructions to the terminal 100) from an input signal input to the input device, and inputs the data to the terminal 100.

Display unit 112 is an output device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, or an organic EL (Electro Luminescence) display. Display unit 112 may also be an interface for connecting an output device to terminal 100. In this case, display unit 112 generates a video signal from video data and outputs the video signal to a video output device connected to itself.

In addition, all or part of the functions of the communication unit 110 and the control unit 120 may be realized using hardware such as an ASIC (Application Specific Integrated Circuit), a PLD (Programmable Logic Device), or an FPGA (Field Programmable Gate Array). The information management program may be recorded on a computer-readable recording medium. Examples of computer-readable recording media include portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into computer systems. The information management program may be transmitted via telecommunications lines.

The control unit 120 in FIG. 2 controls the operation of each unit of the terminal 100. The control unit 120 is executed by a device equipped with a processor such as a CPU and RAM, for example. By executing an information management program, the control unit 120 functions as a display control unit 121, an information acquisition unit 122, an analysis unit 123, a timing generation unit 124, and an output unit 126.

The display control unit 121 controls all screens displayed on the display unit 112. The information acquisition unit 122 acquires life information by acquiring information from the database 200 or by acquiring information input via the input unit 111. The analysis unit 123 performs analysis based on the acquired life information and derives suggested information for maintaining or improving the subject's quality of life. The derived suggested information is output by the output unit 126, for example, by the display control unit 121 to the display unit 112, or is output as printed matter by a printer (not shown).

Based on the life information acquired by the information acquisition unit 122, the timing generation unit 124 generates the timing at which the information acquisition unit 122 acquires the life information, the timing at which the analysis unit 123 derives the proposed information, or the timing at which the output unit 126 outputs the proposed information.

Figure 3 is a diagram schematically showing the flow of information and the output of the timing generation unit 124. First, as described above, the timing generation unit 124 generates the timing at which the information acquisition unit 122 acquires life information and outputs it to the information acquisition unit 122. The timing generation unit 124 generates the timing at which the analysis unit 123 derives proposed information and outputs it to the analysis unit 123. The timing generation unit 124 generates the timing at which the output unit 126 outputs proposed information and outputs the generated timing to the output unit 126.

The information acquisition unit 122 acquires life information at the timing generated by the timing generation unit 124, or at the timing when the life information is input from the input unit 111. The analysis unit 123 performs analysis using the database 200 based on the life information at the timing when the life information is input from the information acquisition unit 122 or the timing generated by the timing generation unit 124, derives suggested information for improving the subject's QOL, and outputs the suggested information. The output unit 126 outputs the suggested information at the timing when the suggested information is input from the analysis unit 123 or the timing generated by the timing generation unit 124.

The output proposed information is provided to the subject, etc., by a care manager in charge of the subject or a close relative (for example, the subject's parent, spouse, child, grandchild, etc.) via the advisor. The life information changes as the subject, etc., acts in response to the proposed information. The changed life information is input again into the information acquisition unit 122, and new proposed information appropriate to the changed life information is output. By repeating this process, the subject's QOL can be maintained and improved.

Figure 4 is a diagram showing database 200. Database 200 includes lifestyle information database 200A, living information database 200B, building information database 200C, money information database 200D, event database 200E, timing database 200F, stress database 200G, and analysis database 200H. Database 200 is provided for each subject, and is stored in association with a subject number (individual recognition information) that uniquely identifies the subject.

The biometric information database 200A is a database that records biometric information. Figure 5 is a diagram showing an example of biometric information recorded in the biometric information database. The biometric information consists of health status and motor function. Data items related to health status include nursing care certification, hospital visits, medical history, health check results, medications/supplements, blood type, thermal sensation, sleep status, and exercise/movement/motion checks. Data items related to motor function include walking speed (per minute), number of steps, nutritional management, and cognitive function.

The lifestyle information database 200B is a database that records lifestyle information. Figure 6 shows an example of lifestyle information recorded in the lifestyle information database. The lifestyle information consists of family information, service usage status, outings and interactions, daily activities, leisure and hobbies, knowledge and culture, education, medical care, nursing care and health, and future housing and lifestyle.

Data items belonging to family information include family members living together (relationship, age, occupation, marital status, school year, etc.), family members living separately (relationship, age, occupation, marital status, school year, etc.), family relationships (parent and child, siblings), and pets. Data items belonging to service usage include nursing care insurance services, relationship with care managers, services for the elderly (not covered by nursing care insurance/municipalities), housework services, child-rearing services (family support, sitters, etc.), and nursery school usage.

Data items related to going out and social interactions include frequency of going out, destinations (purpose), friendships (student days, children, hobbies), interactions with neighbors, and work-related interactions. Data items related to daily activities include daily housework status, daily childcare status, work-life balance, exercise habits and intentions, interest and actual status in personal grooming and grooming, and average weekly schedule. Data items related to leisure and hobbies include travel, hobbies, eating out, fun, favorite things, and entertainment.

Data items related to knowledge and culture include television, newspaper, magazine, internet, and SNS usage, cultural center attendance, and participation in seminars, etc. Data items related to education include school (nursery school, kindergarten, elementary school, junior high school, high school, and university), cram school, and extracurricular activities. Data items related to medical care, nursing care, and health include illness anxiety, nursing care experience and anxiety, and health interest and anxiety. Data items related to future housing and lifestyle include intentions regarding future housing and intentions regarding future lifestyle.

The building information database 200C is a database that records building information. Figure 7 shows an example of building information recorded in the building information database. Building information consists of the building and its surrounding environment.

Data items related to buildings include building type (private residence, row house apartment, dedicated home, dedicated rental, combined home and rental), ownership status, floor plan, living environment simulation results (sunlight, solar radiation, ventilation, lighting, heating and cooling), age of building, insulation performance, bathroom specifications (traditional, unit bath), presence or absence of steps (indoor, outdoor), renovation history (renovation, repair, renovation), whether security services were used, furniture layout, indoor and outdoor tidying status, temperature and humidity, and ventilation/air quality status.

Data items related to the surrounding environment include road value, location (distance to the nearest station, access to major roads, bus services, etc.), and surrounding facilities (public facilities, commercial facilities, schools).

The financial information database 200D is a database that records financial information. Figure 8 shows an example of financial information recorded in the financial information database. Financial information consists of income, expenses, real estate, savings, loans, insurance, and other asset trusts, wills, and inheritances.

Data items that fall under income include monthly income (salary, pension, etc.), retirement benefits, and passive income (rental income, stocks, etc.). Data items that fall under expenditure include living expenses, renovation costs, entrance fees and monthly fees for senior housing and facilities, life insurance costs for the individual and spouse, nursing care costs for the individual and spouse, hospitalization and medical expenses for the individual and spouse, nursing care costs for parents, hospitalization and medical expenses for parents, support for children (marriage, child care, etc.), support for grandchildren (entrance to school, further education, etc.), parent-child events (anniversaries, trips, etc.), education expenses, mortgage, rent, etc.

Data items related to real estate include owned real estate (whether lived in or not) and the value of owned real estate (roadside value, etc.). Data items related to savings, loans, and insurance include deposits, securities, loans, life insurance, medical insurance, and private nursing care insurance. Data items related to other assets include cars, motorcycles, and jewelry. Data items related to other asset trusts, wills, and inheritance include trust and will implementation status and intentions, inheritance preparation status and intentions, parental inheritance and asset management, and spouse's inheritance and asset management.

Event database 200E is a database that records events and timing related to the subject. First, we will explain events. Figure 9 is a diagram showing an example of an event. The events shown in Figure 9 are basic events. As shown in Figure 9, in a typical life, events such as entering school, getting a job, and turning 60 occur. Also, although not shown in the diagram, there are various other events, such as those based solely on age, such as "turning 40" or "turning 75," as well as marriage, childbirth, a child or grandchild entering school, a parent receiving nursing care certification, purchasing a home, becoming ill, or a medical checkup showing that follow-up observation is required.

Timing is provided in association with these events. For example, there is a pre-60th birthday health check timing associated with the event of turning 60, and a maintenance timing associated with purchasing a home. Therefore, in this embodiment, an event database is provided as one of the databases related to timing.

Figure 10 is a diagram showing the event database 200E. In Figure 10, as an example, timings T1 to Tn are associated with events E1 to En, respectively. In Figure 10, one timing is associated with each event, but multiple timings may also be associated with one event. For example, two timings, a pre-60th birthday health check and pre-retirement asset planning, may be associated with the event of turning 60. Furthermore, as events for younger people, timings such as purchasing a school bag, purchasing a desk, and a pre-school health check may be associated with the event of entering elementary school. Furthermore, as events for younger people, timings such as purchasing or renting a new home and purchasing furniture may be associated with the event of getting married.

Note that an event can also be a timing. For example, the event of turning 60 is also the timing of turning 60. In this case, the time when the event occurs and the time when the timing arrives are the same.

In the following description, the biometric information database 200A, lifestyle information database 200B, building information database 200C, financial information database 200D, and event database 200E may be collectively referred to as the life information database.

Next, the classification of timing will be explained. Timing is classified into first timing, second timing, and third timing. Figure 11 is a diagram showing the definitions of first timing, second timing, and third timing. First timing is timing associated with an event related to the subject's age. In other words, first timing is timing determined by the subject's age. Examples of first timing include turning 60, retirement age, and "turning 75."

The second timing is associated with an event related to the subject's life information (excluding the event used in the first timing), and is determined according to a change in the life information. Examples of the second timing include a follow-up medical examination or home maintenance.

The third timing is a timing associated with an event related to the life information of the subject's relatives. Examples of the third timing include a grandchild's school entrance or a spouse's health check.

The timings described above are stored in the timing database 200F for each subject. Figure 12 is a diagram showing the timing database. In Figure 12, as an example, processes P1 to Pn are provided for each of the timings T1 to Tn, which are executed at that timing. Processes P1 to Pn are either an acquisition process for acquiring information by the information acquisition unit 122, a derivation process for deriving proposed information by the analysis unit 123, or an output process by the output unit 126. In Figure 12, one process is provided for each timing, but multiple processes may be associated with one timing. For example, two timings, a pre-60th birthday health check and pre-retirement asset planning, may be associated with the event of turning 60.

Figure 13 is a schematic diagram showing the contents of the timing database 200 along with events. Figure 13 shows timing and events in chronological order. As an example, the subject's age is shown as 65 years old or older. The subject's close relatives are also shown, including the subject's parents, spouse, children, and grandchildren.

As shown in Figure 13, the timing database 200 records the timing of the subject himself/herself and the timing of his/her close relatives based on the subject's age, making it possible to cover a variety of timings related to the subject. As a result, by executing processing when the timing indicated in the timing database 200 arrives, it is possible to maintain and improve the subject's QOL from the present to the future.

Next, the processing flow of the information management system 10 will be explained. In the following explanation, updating timing refers to adding, deleting, or changing timing in the timing database F. Figure 14 is a flowchart showing the processing flow of the information management system 10. This flowchart shows the processing executed in response to each trigger that occurs in the information management system 10. The triggers include the input of information about the subject, the input of information about close relatives, the arrival of the timing to acquire life information by the information acquisition unit 122, the arrival of the timing to derive by the analysis unit 123, and the arrival of the timing to output by the output unit 126.

The information management system 10 determines whether information about the subject has been input (Step S101). Information about the subject may include information obtained from the subject or information output by a sensor that senses biometric information. If information about the subject has been input (Step S101: YES), the information management system 10 updates the life information database (Step S103) when the information acquisition unit 122 acquires the input information about the subject as life information (Step S102). In response to this update, the timing generation unit 124 updates the first timing and second timing (Step S104) and terminates processing.

If no information about the subject has been entered in step S101 (step S101: NO), the information management system 10 determines whether information about the subject's close relatives has been entered (step S105). Information about close relatives includes information obtained from the subject. If information about close relatives has been entered (step S105: YES), the information management system 10 updates the life information database (step S107) after the information acquisition unit 122 acquires the entered information about close relatives as life information (step S106). In response to this update, the timing generation unit 124 updates the third timing (step S108) and terminates processing.

If information about close relatives has not been entered in step S105 above (step S105: NO), the information management system 10 determines whether the timing for the information acquisition unit 122 to acquire life information has arrived (step S109). The timing generation unit 124 notifies the information acquisition unit 122 of the arrival of this acquisition timing. If the timing for acquiring life information has arrived (step S109: YES), the information management system 10 updates the life information database (step S111) when the information acquisition unit 122 acquires the life information (step S110). In response to this update, the timing generation unit 124 updates each timing according to the updated life information (step S112), and ends the process.

If the acquisition timing has not arrived in step S109 (step S109: NO), the information management system 10 determines whether the timing for the analysis unit 123 to derive suggested information has arrived (step S113). The timing generation unit 124 notifies the analysis unit 123 that this derivation timing has arrived. If the timing for deriving suggested information has arrived (step S113: YES), the analysis unit 123 acquires life information from the life information database (step S114), derives suggested information (step S115), and terminates the process.

If the derivation timing has not arrived in step S113 (step S113: NO), the information management system 10 determines whether the output timing by the output unit 126 has arrived (step S116). The timing generation unit 124 notifies the analysis unit 123 of the arrival of this output timing. If the output timing has arrived (step S116: YES), the output unit 126 outputs the proposed information (step S117) and ends the processing. If the output timing has not arrived (step S116: NO), the information management system 10 returns to step S101.

As explained above, the timing generation unit 124 generates a first timing determined by the age of the subject and a second timing determined in response to changes in life information. Furthermore, the timing generation unit 124 acquires life information when either the first timing or the second timing arrives, and updates the acquired life information.

As shown in the processing of the information management system 10 described above, the timing is updated in response to changes in life information and events. A specific processing example will be described. The analysis unit 123 derives suggested information using the analysis database 200H. The analysis database 200H is a database that records analysis information. Figures 15 and 16 are diagrams showing examples of analysis information recorded in the analysis database 200H. As shown in Figures 15 and 16, the analysis information is information that associates the content of life information with suggested information. As shown in Figure 15, the analysis information includes information that associates suggested information with at least two of the information types selected from person information, building information, and money information. Furthermore, the analysis information includes information that associates suggested information with at least two of the information types selected from person information, building information, and money information, as well as with events, as shown in Figure 16.

The analysis unit 123 searches for analysis information that matches the acquired life information and derives the proposal information indicated in the searched analysis information.

With this in mind, we will first explain processing using person information, building information, and money information from the life information. In the following explanation, person information, building information, and money information may be collectively referred to as non-event information.

First, we will explain an example of processing using a combination of two pieces of non-event information (person information, building information). Suppose a change occurs in the person information: "The person was hospitalized and began walking with a cane, and was certified as needing nursing care." Furthermore, the building information records that "there are five steps on the entrance approach," and the lifestyle information records that "the person wants to go out (day care center, lunch with friends, shopping with grandchildren)." In this case, the timing generation unit 124 notifies the analysis unit 123 that the timing for analysis has arrived. From the above information, the analysis unit 123 derives home renovation proposal information. In this case, the advisor can provide advice at the time the subject "applies" for nursing care, which will help smooth the process of applying for nursing care.

Next, we will explain an example of processing using one piece of information (person information) from the non-event information. Assume that a change has occurred in the person information, such as "a person who was previously healthy has lost muscle strength and activity level." Furthermore, assume that a change has occurred in the person information, such as "a person who was previously able to clean and tidy up has become unable to clean and tidy up properly, is unable to take care of the garden, and has lost motivation." In this case, the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. The analysis unit 123 derives a housekeeping service as suggested information from the above information. In this way, when one or more pieces of biometric information have changed and one or more pieces of housekeeping information have also changed, the timing generation unit 124 may notify that the analysis timing has arrived.

Next, we will explain an example of processing using a combination of all non-event information (person information, building information, and financial information). Assume that a change has occurred in the person information: "Certification of Level 1 Support Needed." Assume that the building information records "a layout that allows living on one floor (first floor sanitary, living/dining/kitchen area, Japanese-style room)," the person information records "Want to continue living at home (do not want to go to a facility)," and the financial information records "Pension income (comfortable), financial assets available." In this case, the timing generation unit 124 notifies the analysis unit 123 that the timing for analysis has arrived. From the above information, the analysis unit 123 derives suggested information, including renovations and maintaining activity levels both inside and outside the home. This suggested information represents suggestions for continuing to live at home without increasing the level of care required once the person has been certified as Level 1 Support Needed.

Next, we will explain an example in which life information is obtained before at least one of the first and second timings arrives, and the obtained life information is updated. For example, the first timing is set to "turning 60 years old," and this timing is set to be the second timing for obtaining the results of an interview with an advisor. In this case, if there is a change in biometric information, such as a decrease in walking speed, the second timing is brought forward and the life information obtained by the advisor is updated.

Next, we will explain an example of changing the first timing based on changes in life information. For example, the first timing was set to "turning 60 years old," but because the biometric information is good, the first timing is changed to "turning 65 years old."

Next, we will explain an example of processing using events. Before proceeding, we will explain the stress database 200G.

Stress database 200G is a database that indicates the level of stress felt by a subject due to an event. Figure 17 is a diagram showing an example of stress levels and events recorded in stress database 200G. Stress levels are shown in three levels (high, medium, and low) depending on their magnitude. Events indicate events that cause stress. "Parent" indicates that the corresponding event is an event that targets the subject. "Child" indicates that the corresponding event is an event that targets the subject's child. While stress levels are shown in three levels in Figure 17, they may be shown in different levels or using numerical values. Furthermore, the events are just an example and may include other events.

Basically, when an event occurs that causes some kind of problem in the subject's body or a close relative, the analysis unit 123 derives suggested information to maintain mental and social health into the future. The analysis unit 123 also derives suggested information that will prevent future overlapping of stress and impacts across multiple categories (family relationships, physical health, mental health, social health (including interactions and roles), and money-related). Furthermore, the analysis unit 123 derives suggested information that takes into account the stress experienced not only by the subject but also by family members. Furthermore, the analysis unit 123 derives suggested information that will not overlap between couples including the subject (avoiding mutual collapse such as elderly care), and between parents and children including the subject (avoiding double care of childcare and elderly care).

Suppose the death of a spouse (high stress level) is added as an event. In this case, the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. The analysis unit 123 derives suggested information that prevents high or medium stress level events in the stress database 200G from occurring. Specifically, the analysis unit 123 derives suggested information that prevents "your own illness or injury" from occurring at the same time. Note that, since the subject, particularly a man, requires support in daily life aspects such as housework as well as mental support, the analysis unit 123 derives suggested information for providing such support. Since it is often impossible to predict the timing of such high stress events, the analysis unit 123 derives ways to overcome them and suggested information (for example, expert intervention) before, during, and after the event occurs.

Let's say that a major change (medium stress level) in a family member's health or behavior is added as an event. In this case, the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. The analysis unit 123 derives suggested information that will prevent high or medium stress level events from occurring in the stress database 200G. For example, the analysis unit 123 derives suggested information that will maintain the physical, mental, and social health of the subject. Note that when a major change in a family member's health or behavior occurs, people tend to prioritize immediate family care in the short term, but in the long term, it is important to have your own field (connections with people and free time).

Let's say that events such as one's own illness or injury (high stress level) or a major change in a family member's (spouse's) health or behavior (medium stress level) are added. In this case, the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. The analysis unit 123 derives suggested information that will prevent high or medium stress level events from occurring in the stress database 200G. For example, if one of a spouse becomes ill or injured, the analysis unit 123 derives suggested information to follow up on the other spouse.

The same applies when an event occurs to the subject or the subject's child. For example, if the subject becomes ill or injured (high stress level) or experiences a major change in the health or behavior of a family member (medium stress level), the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. The analysis unit 123 derives suggested information that will prevent the child from experiencing a high or medium stress level event in the stress database 200G.

Conversely, if a child takes an exam (medium stress level) or experiences a major change in their living environment (low stress level), the timing generation unit 124 notifies the analysis unit 123 that the time to analyze has arrived. The analysis unit 123 derives proposal information that will prevent the child from experiencing high or medium stress level events in the stress database 200G. Note that in the case of an event whose occurrence is certain or almost certain, such as a child taking an exam, the timing generation unit 124 may notify the analysis unit 123 that the time to analyze has arrived one year before the exam.

In this way, when processing an event whose occurrence is certain or almost certain, the timing generation unit 124 notifies the analysis unit 123 that it is the derivation timing before the first timing or the second timing arrives. In this case, the analysis unit 123 derives proposed information regarding a plan that the subject should execute by the first timing or the second timing, and the output unit 126 outputs the proposed information derived by the analysis unit 123.

For example, before the time of mandatory retirement arrives, the analysis unit 123 may derive proposed information regarding a financial plan for the next 30 years after retirement as a plan to be implemented before retirement, and the output unit 126 may output this information. Furthermore, if the subject is planning to care for their parents, financial plans may include calculating monthly income and expenses after retirement (taking into account changes due to age), determining estimated annual expenses for family events (travel, visiting family, etc.), and estimating the amount of money to be set aside as a lump sum. Proposed information for considering inheritance may also be derived. This is because postponing the creation of a financial plan may overlap with other events.

In this way, the information management system 10 can output suggested information in synchronization with the timing, or output suggested information before the timing arrives.

Next, an example of processing using non-event information and events will be described. Suppose a change occurs in the biometric information, such as "a previously healthy person's muscle strength has decreased, their activity level has dropped, and they have become more easily fatigued." Furthermore, suppose events such as "childcare support for grandchildren" and "concerns about spouse's health" have occurred. In this case, the timing generation unit 124 notifies the analysis unit 123 that the timing for analysis has arrived. From the above information, the analysis unit 123 derives proposal information regarding housekeeping services and services not covered by nursing care insurance, as well as proposal information regarding a review of monthly financial plans when using these services, calculations for future medical expenses and nursing care expenses (home improvement costs), and support for educational expenses.

As another example, suppose that changes have occurred in the biometric information, such as "concerns about early cognitive impairment and declining leg strength." The building information records that "also rents and lives at home," and the lifestyle information records that "living alone, children are busy, going out less frequently (also affected by fewer friends), no longer cares about appearance (suddenly wearing casual clothes)." Furthermore, the financial information records that "payment for construction of a tenement apartment building has been completed (= financial leeway has been achieved)."

In this case, the timing generation unit 124 notifies the analysis unit 123 that the analysis timing has arrived. From the above information, the analysis unit 123 derives, while the individual is still able to make a decision, proposal information regarding the provision of information and introduction to appropriate relocation destinations such as serviced housing for the elderly or paid nursing homes, proposal information regarding organizing and disposing of luggage, proposal information regarding introduction to housekeeping services, and proposal information regarding follow-up on behalf of the individual's child until they get used to life in the new location. For example, by providing information on appropriate relocation destinations such as the above-mentioned serviced housing for the elderly or paid nursing homes, the individual and child's anxiety about living alone can be alleviated, and they can feel reassured that there is someone there 24 hours a day and a dining area available.

Below is a summary of examples of changes and events.
Changes in biological information: Certified nursing care required; Decreased activity level; Worries about early cognitive impairment; Decreased frequency of going out; Decreased walking speed; Decreased number of steps; Loss of appetite; Malnutrition; Weight loss; Hospital visits and hospital admissions due to injury or illness

・Lifestyle information Housework and caring for grandchildren have become difficult Changes in timing and frequency of toilet visits, such as frequent toilet slumber Tidying has become incomplete Cleaning has become incomplete Fewer visitors

・Changes in building information Renovations Relocation Road price Location Surrounding facilities

Changes in money: Inheritance from parents or spouse Retirement benefits received Pension received Unearned income Changes in parent hospitalization, medical expenses, and nursing care costs Support provided to children and grandchildren Event expenses incurred for parents and grandchildren Life insurance expenses incurred for yourself and your spouse Hospitalization, medical expenses, and nursing care expenses incurred for yourself and your spouse Renovation expenses incurred Expenses for moving into elderly housing or a facility incurred

Examples of events include the death of a spouse, your own illness or injury, a major change in a family member's health or behavior, a major change in social activities, retirement, caring for an elderly parent, a child's marriage or birth, or a grandchild's enrollment in school.

Other proposal examples of the proposal information described above are shown below. The following proposal examples are diagrams showing examples of indoor environment proposals, living environment proposals, health-related proposals, nursing care-related proposals, and finance-related proposals.

Examples of indoor environment proposals and living environment proposals will be explained. As an example of an indoor environment proposal, when the input information is a combination of biological information (thermal sensation (decreased, does not like air conditioning)) and building information (living environment simulation (sun radiation, ventilation, heating and cooling)), the analysis unit 123 derives the following as proposal information: "To prevent heatstroke, operate the air conditioner a little earlier than the time when it gets hot due to summer sun radiation. In spring and autumn (intermediate seasons), indicate the time periods when ventilation can be used, and propose staying cool without using air conditioning." In this way, information regarding air conditioning in the room where the customer lives can be provided as proposal information.

As an example of a living environment proposal, when the combination of input information is building information (the front door lock is not double-locked) and lifestyle information (forgetting to lock the door), the analysis unit 123 derives "Proposal to install a remote-controlled double-lock door" as proposed information. In this way, it is possible to provide information on facilities that will assist the customer's life in the living space as proposed information.

As an example of a living environment proposal, if the combination of input information is biometric information (current medical history (knee pain), hospital visits (orthopedics)) and building information (there are stairs on the entrance porch), the analysis unit 123 will derive the proposal information "Propose the installation of a handrail on the entrance porch." In this way, it is possible to provide information on facilities that will assist the customer's life in the living space as proposal information.

As an example of a living environment proposal, when the combination of input information is building information (deterioration in insulation performance) and lifestyle information (large changes in bathroom temperature and humidity), the analysis unit 123 derives a "proposal for insulation renovations" as proposal information. In this way, it is possible to provide information on facilities that support the customer's life in the living space as proposal information.

As an example of a living environment proposal, when the combination of input information is biometric information (walking speed (declining)) and building information (floor plan information (LDK on the first floor, private room on the second floor)), the analysis unit 123 derives "renovation proposals to allow living on the first floor only" as proposal information. In this way, it is possible to provide information on facilities that will assist the customer's life in the living space as proposal information.

As an example of a living environment proposal, when the combination of input information is biometric information (walking speed (declining)) and building information (floor plan information (LDK on the first floor, private room on the second floor)), the analysis unit 123 derives "renovation proposals to allow living on the first floor only" as proposal information. In this way, it is possible to provide information on facilities that will assist the customer's life in the living space as proposal information.

As an example of a living environment suggestion, when the combination of input information is biometric information (walking speed (declining trend), cognitive function (declining trend)) and lifestyle information (complaints of anxiety about living alone with the elderly), the analysis unit 123 derives "suggestions for relocation (assisted living/nursing home) and use of nursing care insurance services" as suggested information. In this way, information regarding nursing care for the customer can be provided as suggested information.

As an example of a living environment proposal, when the combination of input information is biometric information (walking speed (declining trend), cognitive function (declining trend)), building information (assets present), and lifestyle information (land use/inheritance intentions, presence of family members living separately), the analysis unit 123 derives "proposals for inheritance planning with an eye to the future of the entire family" as proposed information. In this way, information regarding the customer's inheritance can be provided as proposed information. The analysis unit 123 can also make proposals based on a combination of three pieces of information: biometric information, building information, and lifestyle information.

As an example of a living environment proposal, if the combination of input information is building information (owning land in addition to the home) and lifestyle information (separate family information (with home purchase plans)), the analysis unit 123 will derive a "home proposal for children using unused land" as proposal information. In this way, information about the customer's assets can be provided as proposal information.

As an example of a living environment proposal, if the combination of input information is building information (there is a garden) and lifestyle information (the customer is no longer able to maintain the garden), the analysis unit 123 will derive a "proposal for garden tree pruning and weed removal services" as proposed information. In this way, it is possible to provide information about services that assist the customer's life in the living space as proposed information.

As an example of a living environment proposal, if the input information combination is biometric information (bad back), building information (the road in front of the house is sloped), and lifestyle information (the customer has trouble shoveling snow when it snows), the analysis unit 123 will derive a "snow shoveling service proposal" as proposal information. In this way, information about services that assist the customer's life in the living space can be provided as proposal information.

As an example of a living environment proposal, when the input information is a combination of biometric information (bad knees, walking speed (declining)) and lifestyle information (there is luggage on the floor in the hallway, posing a risk of falling), the analysis unit 123 derives a "tidying up service proposal" as proposal information. In this way, it is possible to provide information about services that assist the customer's life in the living space as proposal information.

Next, health-related proposal examples, nursing care-related proposal examples, finance-related proposal examples, and indoor environment proposal examples will be explained. As a health-related proposal example, when the combination of input information is biometric information (early cognitive impairment) and lifestyle information (family member information living together (living alone), family member information living separately (worried about parents, needs for supervision)), the analysis unit 123 derives "suggestions for conversation partners and supervision" as suggested information. In this way, information on services that assist the customer's life in the living space can be provided as suggested information.

As an example of a health-related suggestion, when the combination of input information is biometric information (nutritional status (low food intake)) and lifestyle information (dislikes preparing meals), the analysis unit 123 derives a "cooking service suggestion" as suggested information. In this way, it is possible to provide information about services that assist the customer's life in their living space as suggested information.

As an example of a health-related suggestion, when the combination of input information is biometric information (walking speed (tending to decrease), number of steps (tending to decrease)) and lifestyle information (spending more time at home), the analysis unit 123 derives "suggestions for indoor exercises" as suggested information. In this way, information related to improving the customer's health can be provided as suggested information.

As an example of a care-related suggestion, if the combination of input information is biometric information (the person is not feeling well due to illness and is unable to move as desired) and lifestyle information (the person needs to apply for a nursing care certification, and cannot rely on a child who lives separately), the analysis unit 123 will derive a "suggestion for following up on the nursing care certification application" as suggested information. In this way, information regarding the customer's nursing care can be provided as suggested information.

As an example of a care-related proposal, when the combination of input information is biometric information (approaching 80 years old) and lifestyle information (currently healthy but worried about the future, would like care information for the area where they live), the analysis unit 123 derives a "proposal to provide local information" as proposed information. In this way, information about the customer's care can be provided as proposed information.

As an example of a care-related suggestion, when the combination of input information is biometric information (walking speed (trending decline), sleep status (not sleeping well)) and lifestyle information (providing long-distance care for extremely elderly parents), the analysis unit 123 derives a "respite care suggestion" as suggested information. In this way, information related to improving the customer's health can be provided as suggested information.

As an example of a care-related suggestion, when the combination of input information is biometric information (needs care level 2) and lifestyle information (family member information living together (wants to travel with friends but has given up), lack of necessary nursing care insurance services (short stay)), the analysis unit 123 derives "suggestion for a second opinion" as suggested information. In this way, information related to the customer's care can be provided as suggested information.

As an example of a financial-related proposal, when the combination of input information is building information (building type (private residence, tenement house)) and lifestyle information (owned real estate (owns one private residence and one tenement house, owned real estate (roadside land value information), financial assets (owns multiple banks and securities)), the analysis unit 123 derives "proposals for inheritance plans and inheritance countermeasures" as proposed information. In this way, information regarding the customer's inheritance can be provided as proposed information. Note that "owns multiple banks and securities" in the financial information refers to owning multiple bank deposits, postal savings, securities, etc.

As an example of a financial proposal, when the combination of input information is building information (building type (private residence, tenement apartment)) and lifestyle information (monthly income (pension, rental income), financial assets (ownership of multiple banks and securities)), the analysis unit 123 derives the proposal information as "a proposal for a future-oriented money plan (monthly flow and stock plan)." In this way, information related to assets can be provided as proposal information.

As explained above, the information management system 10 can provide technology for optimally outputting suggestions to maintain and improve the QOL of subjects. In particular, because life information differs depending on the people living in the same building, appropriate suggestion information can be output for each building and subject. Furthermore, all suggestions are designed to maintain the customer's QOL or improve their quality of life.

Next, the input screen for biometric information, etc. will be described. Figure 18 is a diagram showing an example of the input screen. The input screen is displayed on the display unit 112. The input screen has an input field for each data item of biometric information and lifestyle information. The advisor selects the appropriate item using radio buttons or check boxes, or enters information into text boxes. For example, in "Nursing care," if the person has been certified as requiring nursing care, the advisor selects the "Nursing care certified" radio button and enters the month of certification and the level of care required in the text box. In addition, an input field for the degree of independence in daily living is provided as information regarding the ability to recognize facts and reason. The input field for the degree of independence in daily living has a field for entering the degree of independence in daily living and a field for entering "no problem" if there are no problems.

On the other hand, information obtained by sensors is automatically displayed. For example, "walking speed" and "number of steps" obtained by sensors are automatically displayed.

The information entered by the advisor on the input screen shown in Figure 18 is stored in database 200.

In the embodiments described above, the subjects are assumed to be individuals from the so-called senior or middle generation, but since biometric information and lifestyle information can be obtained from any generation, the above embodiments may also be applied to subjects other than the senior or middle generation.

The above describes in detail an embodiment of the present invention with reference to the drawings, but the specific configuration is not limited to this embodiment and includes designs that do not deviate from the gist of the present invention.

10...Information management system, 100...Terminal, 110...Communication unit, 111...Input unit, 112...Display unit, 120...Control unit, 121...Display control unit, 122...Information acquisition unit, 123...Analysis unit, 124...Timing generation unit, 200...Database, 200A...Biometric information database, 200B...Lifestyle information database, 200C...Building information database, 200D...Money information database, 200E...Event database, 200F...Timing database, 200G...Stress database, 200H...Analysis database

Claims (19)

an acquisition unit that acquires the subject's life information in response to a trigger generated by the arrival of a timing for acquiring the life information;
an analysis unit that performs analysis based on the life information acquired by the acquisition unit and derives suggested information for maintaining or improving the quality of life of the subject;
an output unit that outputs the proposed information derived by the analysis unit;
an update unit that updates timing information that defines a timing at which the acquisition unit acquires the life information, a timing at which the analysis unit derives the proposal information, or a timing at which the output unit outputs the proposal information, based on the life information acquired by the acquisition unit; and
Equipped with
the update unit functions as a timing generation unit that generates the acquisition timing of the life information so as to generate the trigger when the acquisition timing indicated by the updated timing information arrives .
Information management system. The information management system described in claim 1, wherein the life information includes at least two of personal information, building information, and financial information about the subject. An information management system as described in claim 2, wherein the life information includes the person information and the building information. The information management system described in claim 2, wherein the life information includes the person information, the building information, and the financial information. The life information includes at least two of personal information, building information, and financial information about the subject,
The information management system according to claim 1 , wherein the analysis unit performs an analysis based on the at least two combinations and derives the proposed information. The information management system described in claim 5, wherein the analysis unit performs analysis based on a combination of the person information and the building information to derive the proposed information. The information management system described in claim 5, wherein the analysis unit performs analysis based on a combination of the person information, the building information, and the financial information, and derives the proposal information. The information management system described in claim 1, wherein the update unit updates the first timing determined by the age of the subject and the second timing determined in response to changes in the life information. the acquisition unit acquires the life information when either the first timing or the second timing arrives;
The information management system according to claim 8 , wherein the update unit updates the acquired life information. the acquisition unit acquires the life information before at least one of the first timing and the second timing arrives;
The information management system according to claim 8 , wherein the update unit updates the acquired life information. The information management system described in claim 8, wherein the update unit updates the first timing based on changes in the life information. The information management system described in claim 8, wherein the analysis unit derives the proposal information in synchronization with the first timing, and the output unit outputs the proposal information derived by the analysis unit. The information management system described in claim 8, wherein the analysis unit derives the proposal information in synchronization with the second timing, and the output unit outputs the proposal information derived by the analysis unit. The information management system of claim 1, wherein the suggested information includes at least two of information for improving the subject's health, information for improving the subject's lifestyle, and financial information. The information management system described in claim 8, wherein the analysis unit derives the proposed information regarding a plan that the subject should execute by the first timing or the second timing, and the output unit outputs the proposed information derived by the analysis unit. The information management system described in claim 8, wherein the update unit updates the third timing determined by the ages of the subject's close relatives. An information management system according to any one of claims 2 to 7, wherein the personal information is information obtained through interviews with the subject or information output by a sensor that senses the personal information. A program for causing a computer to function as the information management system described in any one of claims 1 to 17. an acquisition step in which the computer acquires the subject's life information in response to a trigger generated by the arrival of a timing for acquiring the life information;
an analysis step in which the computer performs an analysis based on the life information acquired by the acquisition step, and derives proposal information for maintaining or improving the quality of life of the subject;
an output step of outputting the proposal information derived by the analysis step;
an updating step of updating timing information that defines the timing of acquiring the life information in the acquiring step, the timing of deriving the proposal information in the analyzing step, or the timing of outputting the proposal information in the output step, based on the life information acquired in the acquiring step;
Equipped with
the updating step functions as a generating step of generating the acquisition timing of the life information so as to cause the trigger to occur when the acquisition timing indicated by the updated timing information arrives .
Information management methods.