JP2005011329A - Health management support apparatus, health management support system, health management support method, and health management support program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health management support apparatus, a health management support system, a health management support method, and a health management support program which can maintain and improve motivation to self-control, by efficiently obtaining minimum information. <P>SOLUTION: This system periodically questions a user about one's living habits, physical condition and mental condition. The user periodically inputs own vital data and his or her personal information. Voice input by the user is analyzed. The most suitable advice fitting to the present condition of the user based on his or her answers to the questions, his or her vital data and the result of voice analysis are presented. The items which have issues among question items and input data items are extracted, advice presentation algorithm is optimized, while the question items and input data items to be performed with emphasis from the next time and after and the frequency being decided. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a health management support device, a health management support system, a health management support method, and a health management support program that support health management.

  Patients with lifestyle-related diseases such as diabetes need self-health management such as diet therapy at home, exercise therapy, and improvement of lifestyle habits in addition to examination and treatment at the hospital. However, self-management practice for improving medical conditions often causes frustrations due to the difficulty of maintaining motivation over a long period of time.

  Patients are also prone to depression, which often reduces self-management awareness and causes frustration. In order to continue self-management, it is necessary to maintain a high level of patient motivation for self-management.

  Conventionally, various systems that support health management have been proposed. For example, a health promotion system has been proposed that calculates the level of motivation, the level of change to desirable behavior, and the level at which the changed behavior has become a habit based on the interview data, and comprehensively calculates the fixed level of improvement from these levels. (For example, refer to Patent Document 1).

  In addition, a lifestyle improvement support system has been proposed that notifies advice suitable for the user's lifestyle and stress state (see, for example, Patent Document 2).

  Furthermore, a health condition determination apparatus and a health condition determination method for presenting comments based on the current and past vital information of the examinee have been proposed (see, for example, Patent Document 3).

In addition, a home health management system has been proposed that provides advice on meals and exercise from the health status of family members and daily meal data (see Patent Document 4).
JP 2000-37354 A JP 2000-31192 A JP-A-11-206719 JP-A-10-74226

  However, in the conventional system or apparatus, when the category of input data items is single or few, the advice obtained is also biased. For this reason, it is not possible to give optimal advice adapted to the health condition of the user.

  On the other hand, when using multi-faceted data, a huge number of interviews and data input are required, which increases the user's labor and decreases the frequency of use of the system. As a result, motivation for self-management is reduced.

  An object of the present invention is to provide a health management support device, a health management support system, a health management support method, and a health management support program capable of maintaining and improving motivation for self-management by efficiently acquiring a minimum amount of information. It is to be.

  Another object of the present invention is to provide a health management support apparatus and health management support capable of maintaining and improving motivation for self-management by efficiently and effectively presenting optimal advice adapted to the health condition of the user. To provide a system, health management support method and health management support program.

  According to a first aspect of the present invention, there is provided a health management support apparatus, an acquisition unit that acquires information about a user's health state, and items and acquisition of information to be acquired next by the acquisition unit based on the information acquired by the acquisition unit And a changing means for changing the frequency.

  In the health management support device according to the present invention, information relating to the user's health condition is acquired by the acquisition unit, and the items of information to be acquired next and the frequency of the information are changed by the change unit based on the acquired information. The

  Thereby, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  The changing unit may compare the information acquired by the acquiring unit with a predetermined reference value, and may change the item of information to be acquired next by the acquiring unit and the frequency of acquisition based on the comparison result.

  Accordingly, the item of information to be acquired next and the frequency of acquisition are automatically and appropriately changed based on the comparison result between the acquired information and the reference value.

  The changing means stores in advance the relationship between the value of information related to the health condition of the user and the frequency of acquisition, and based on the information and relationship acquired by the acquiring means, the information to be acquired next by the acquiring means Items and acquisition frequency may be changed.

  Thereby, the item to be acquired next and the frequency of acquisition are automatically and appropriately changed based on the acquired information and the relationship stored in advance.

  The changing means determines whether or not the content of the information acquired by the acquiring means is cautionary. Based on the determination result, the changing means may change the item of information to be acquired next and the frequency of acquisition. Good.

  As a result, the information to be acquired next and the frequency of acquisition are automatically and appropriately changed based on the determination result of whether or not the content of the acquired information needs attention.

  According to a second aspect of the present invention, there is provided a health management support apparatus that includes an acquisition unit that acquires information about a user's health state, a determination unit that determines whether the information acquired by the acquisition unit is good, and a determination result of the determination unit. Extraction means for extracting an item to be noted of the health condition of the patient and a presentation means for presenting advice on the item extracted by the extraction means based on the information acquired by the acquisition means.

  In the health management support apparatus according to the present invention, information related to the user's health condition is acquired by the acquisition means, and the quality of the acquired information is determined by the determination means. Furthermore, an item to be noted of the user's health condition is extracted by the extraction unit based on the determination result, and advice on the item extracted based on the acquired information is presented by the presentation unit.

  Thereby, effective advice suitable for the health condition of the user is efficiently presented. Therefore, self-management can be promoted efficiently and effectively. As a result, it becomes possible to maintain and improve motivation for self-management.

  The acquisition means acquires a plurality of user physiological amounts, information specific to the user, information about the user's voice, information about the user's physical condition, information about the user's mental condition, and information about the user's lifestyle, and presenting means May present advice based on a combination of a plurality of pieces of information acquired by the acquisition means.

  In this case, a plurality of user physiological quantities, information specific to the user, information related to the user's voice, information related to the user's physical condition, information related to the user's mental condition, and information related to the user's lifestyle are acquired and acquired. Advice is presented by the presenting means based on a combination of a plurality of information. Thereby, comprehensive advice based on a plurality of information is presented.

  The presenting means may extract related information from among a plurality of pieces of information acquired by the acquiring means and present advice based on the combination of the extracted information.

  In this case, advice is presented based on a combination of a plurality of related information. Thereby, appropriate and comprehensive advice based on a plurality of related information is presented.

  The presenting means determines whether or not each of the plurality of pieces of information acquired by the acquiring means is cautionary, extracts cautionary information and cautionary information related to the cautionary information, and extracts the extracted information Advice may be presented based on the combination.

  In this case, advice is presented based on a combination of information requiring attention and information requiring attention related to the information requiring attention. Thereby, more appropriate and comprehensive advice is presented.

  The information processing apparatus further includes confirmation means for confirming the behavior and effect related to the user's health management based on the information obtained by the obtaining means, and the presenting means performs subsequent actions based on the causal relationship between the action and the effect confirmed by the confirmation means. Advice may be presented.

  In this case, the behavior and effect relating to the user's health management are confirmed based on the acquired information, and advice including the subsequent behavior is presented based on the causal relationship between the confirmed behavior and the effect. Thereby, since the user can recognize the effect by the action regarding his / her own health management, the motivation for the subsequent action is improved.

  A selection unit that selects an item to be improved on the user's behavior or health based on the information acquired by the acquisition unit; and a determination unit that determines an action for improving the item selected by the selection unit The providing means may present advice including the action determined by the determining means.

  In this case, items to be improved on the user's behavior or health are extracted based on the acquired information, the behavior for improving the extracted items is determined, and advice including the determined behavior is presented. The As a result, the user can fully recognize items to be improved on his / her own behavior or health and can be aware of the behavior for improvement. Therefore, self-management can be performed more effectively.

  Based on the information acquired by the acquisition means, a change means for changing the item of information to be acquired next by the acquisition means and the frequency of acquisition may be further provided.

  In this case, information about the user's health condition is acquired, and the item of information to be acquired next and the frequency of the information are changed based on the acquired information.

  Thereby, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  The acquisition means may include an inquiry means for executing an inquiry for the user and inputting an answer to the inquiry, and the information on the health condition may include an answer input by the inquiry means.

  In this case, an inquiry to the user is executed, an answer to the inquiry is input, and the input answer is acquired as information on the health condition. Thereby, appropriate information regarding the user's health condition can be efficiently acquired.

  An inquiry means may perform any one or more among the inquiry regarding a physical condition, the inquiry regarding a mental state, and the inquiry regarding a lifestyle as an inquiry with respect to a user.

  In this case, any one or more of an inquiry relating to the physical condition, an inquiry relating to the mental condition, and an inquiry relating to lifestyle are performed as the inquiry to the user. Thereby, it is possible to more efficiently acquire appropriate information regarding the user's health condition.

  The acquisition unit includes an input unit that inputs one or more of information related to the user's physiological quantity, information specific to the user, and information related to the user's voice, and the information related to the health condition is input by the input unit It may be information.

  In this case, any one or more of information related to the user's physiological quantity, information specific to the user, and information related to the user's voice is input, and the input information is acquired as information related to the health condition. Thereby, appropriate information regarding the user's health condition can be efficiently acquired.

  It may further comprise a goal creation means for creating a user's behavioral or health goal, and an evaluation means for evaluating the achievement level of the goal created by the goal creation means based on information acquired by the acquisition means .

  In this case, a goal for the user's behavior or health is created, and the achievement level of the created goal is evaluated based on the acquired information. Thereby, since the user can recognize the achievement level of his / her own behavioral or health goal, motivation for the subsequent goal is improved.

  You may further provide the display means which displays the log | history of the information acquired by the acquisition means, or the item of the information which is not acquired by the acquisition means.

  In this case, since the history of acquired information or the item of unacquired information is displayed, the user can easily recognize the item of information to be input. Therefore, it is possible to input sufficient information with minimum effort.

  A health management support system according to a third aspect of the present invention comprises a user terminal used by a user and a management computer, wherein the management computer acquires information relating to the user's health status from the user terminal, and acquires by the acquisition means On the basis of the information thus obtained, there is provided a changing means for changing the item of information to be acquired next by the acquiring means and the frequency of acquisition.

  In the health management support system according to the present invention, information relating to the user's health condition is acquired by the acquisition means, and the items of information to be acquired next and the frequency of the information are changed by the change means based on the acquired information. The

  Thereby, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  According to a fourth aspect of the present invention, a health management support system includes a user terminal used by a user and a management computer. The management computer acquires information about a user's health status from the user terminal, and acquisition means. Determining means for determining the quality of the information acquired by step, extracting means for extracting an item to be noted of the user's health based on the determination result of the determining means, and extracting means based on the information acquired by the acquiring means Presenting means for presenting advice on the items extracted by the user terminal.

  In the health management support system according to the present invention, information relating to the user's health condition is acquired by the acquisition means, and the quality of the acquired information is determined by the determination means. Furthermore, an item to be noted of the user's health condition is extracted by the extraction unit based on the determination result, and advice on the item extracted based on the acquired information is presented by the presentation unit.

  Thereby, effective advice suitable for the health condition of the user is efficiently presented. Therefore, self-management can be promoted efficiently and effectively. As a result, it becomes possible to maintain and improve motivation for self-management.

  According to a fifth aspect of the present invention, there is provided a health management support method, the step of acquiring information related to a user's health condition, the step of changing the item of information to be acquired next and the frequency of acquisition based on the acquired information, It is equipped with.

  In the health management support method according to the present invention, information related to the user's health condition is acquired, and the items of information to be acquired next and the frequency of the information are changed based on the acquired information.

  Thereby, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  According to a sixth aspect of the present invention, there is provided a health management support method comprising: acquiring information related to a user's health status; determining whether the acquired information is acceptable; and items to be noted of the user's health status based on the determination result. And a step of presenting advice relating to an item extracted based on the acquired information.

  In the health management support method according to the present invention, information about the user's health condition is acquired, and the quality of the acquired information is determined. Further, items to be noted of the user's health condition are extracted based on the determination result, and advice regarding the extracted items based on the acquired information is presented.

  Thereby, effective advice suitable for the health condition of the user is efficiently presented. Therefore, self-management can be promoted efficiently and effectively. As a result, it becomes possible to maintain and improve motivation for self-management.

  The health management support program according to the seventh aspect of the present invention is a computer-readable health management support program, which should be acquired next on the basis of the process of acquiring information related to the user's health condition and the acquired information The computer executes the process of changing the information item and the frequency of acquisition.

  In the health management support program according to the present invention, information related to the user's health condition is acquired, and the items of information to be acquired next and the frequency of the information are changed based on the acquired information.

  Thereby, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  A health management support program according to an eighth invention is a computer-readable health management support program, a process for acquiring information on a user's health condition, a process for determining pass / fail of the acquired information, and a determination result The computer is caused to execute a process for extracting an item to be noted based on the user's health condition and a process for presenting an advice regarding the item extracted based on the acquired information.

  In the health management support program according to the present invention, information related to the user's health condition is acquired, and the quality of the acquired information is determined. Further, items to be noted of the user's health condition are extracted based on the determination result, and advice regarding the extracted items based on the acquired information is presented.

  Thereby, effective advice suitable for the health condition of the user is efficiently presented. Therefore, self-management can be promoted efficiently and effectively. As a result, it becomes possible to maintain and improve motivation for self-management.

  According to the present invention, information on the health condition to be acquired is optimized, and self-management can be promoted efficiently and effectively by efficiently acquiring the minimum information. As a result, it becomes possible to maintain and improve motivation for self-management.

  Moreover, effective advice suitable for the user's health condition is efficiently presented. Therefore, self-management can be promoted efficiently and effectively. As a result, it becomes possible to maintain and improve motivation for self-management.

  FIG. 1 is a schematic diagram showing an outline of a health management support system according to an embodiment of the present invention.

  In the health management support system according to the present embodiment, an inquiry is periodically performed on the user. The user answers his / her current state to the inquiry. Here, the questions include questions related to lifestyle habits (meal, exercise, medication, drinking, smoking, rest, etc.), questions related to physical condition (physical condition, subjective symptoms, etc.), mental condition (psychological condition) (mood, stress, Including questions related to motivation, etc.)

  The inquiry is performed mainly by voice output from the user terminal or presentation of a questionnaire, and the answer is performed by voice input to the user terminal or input to the questionnaire. The input voice is converted into data by voice recognition.

  Further, the user periodically inputs his / her vital data and personal information (user basic data and user characteristic data). Here, vital data is data (physiological data) relating to physiologically measurable quantities such as blood pressure, blood sugar level, body weight, waist value, cholesterol level and the like. The vital data is automatically input from the measuring device to the user terminal, or input to the user terminal by a user key operation or voice. For example, when a user gets on a weight scale, the weight scale measurement data is automatically transmitted to the user terminal by wireless communication. Personal information is information unique to itself, such as gender, age, height, date of birth, medical history, family history, and medication status.

  Furthermore, the voice input by the user is analyzed. Here, as the voice to be analyzed, the voice inputted to the user terminal at the time of inputting the answer to the inquiry or the vital data may be used, or a question item for voice analysis is provided, and the question item is You may make a user utter the voice for analysis. By voice analysis, it is possible to infer the mental state, mood, physical condition, stress state, etc. at that time from the tone (pitch of voice), intonation, and faintness.

  The answers to the inquiry, the input of vital data and personal information, and various data acquired by voice analysis are input parameters of the determination algorithm. The determination algorithm selects the optimum advice that matches the user's current situation by using answers to these questions, input of vital data and personal information, and voice analysis.

  The user inputs basic information when starting to use the health management support system. Basic information includes lifestyle, physical condition, mental condition, vital data, and personal information. The health management support system calculates a risk factor for the onset or worsening of lifestyle-related diseases based on the basic information, and outputs primary advice. Specifically, the input data items are extracted and general countermeasures are advised by the vital data pass / fail judgment algorithm, mental status assessment algorithm and lifestyle habit pass / fail algorithm corresponding to personal information such as gender, age, height, and medical history. Present as.

  For example, when determining blood pressure for an elderly person, unlike a reference value for determination for a young person, a value obtained by adding 20 to a reference value for normal determination regarding the maximum blood pressure is set as a reference value for determination. Also, advice for older people is different from advice for younger people. With regard to the question items in lifestyle interviews, the reference value for judgment is changed according to the history of diabetes, hypertension or hyperlipidemia.

  The questionable items are extracted from the initial inquiry question items and the input data items, and the inquiry question items and input data items to be focused on from the next time and the frequency thereof are determined. For example, for those who do not have a smoking habit, the frequency of interviews related to smoking should be extremely low. Conversely, for those who have a smoking habit and feel the need for smoking, use the questioning questions related to smoking. Enrich.

  Further, an advice presentation algorithm is optimized by providing an inquiry for detecting a change in behavior or consciousness related to the user's health management and detecting an advice that contributes to the behavior change.

  With this health management support system, it is possible to present an appropriate inquiry and advice according to the user's condition.

  FIG. 2 is a block diagram showing the configuration of the health management system according to the embodiment of the present invention.

  The health management system in FIG. 2 includes a server 1 and a user terminal 2. The server 1 is installed in a service center, for example. The user terminal 2 is composed of a personal computer, for example, and is installed in the user's home.

  The server 1 includes a calculation unit 11, an internal storage device 12, and a communication interface 13. The calculation unit 11 includes a CPU (Central Processing Unit), a semiconductor memory, and the like. The internal storage device 12 is composed of, for example, a hard disk device. The arithmetic unit 11 and the internal storage device 12 are connected to the network 3 via the communication interface 13. The network 3 includes the Internet, a public line network, and the like.

  The user terminal 2 includes a calculation unit 21, an internal storage device 22, and a communication interface 23. The user terminal 2 includes a display unit 24, a data input unit 25, a data conversion unit 26, a voice input unit 27, a voice recognition unit 28, a voice analysis unit 29, a voice synthesis unit 30, a voice output unit 31, a GUI (graphical user). Interface) 41, microphone 42 and speaker 43.

  The calculation unit 21 includes a CPU, a semiconductor memory, and the like. The internal storage device 22 is composed of, for example, a hard disk device. The calculation unit 21 and the internal storage device 22 are connected to the network 3 via the communication interface 23.

  The calculation unit 11 of the server 1 selects an inquiry question item, determines the user's state (physical condition, emotion, motivation, etc.) from the results of the inquiry answer, vital data and voice analysis, setting of advice content, setting of vital target value, Set lifestyle target values, evaluate self-management progress and improvement results, change target values, change each setting standard, etc.

  The internal storage device 12 includes inquiry question item selection criteria and procedures, user condition determination criteria and procedures, advice selection criteria and procedures, target value setting criteria and procedures, user basic data (age, gender, etc.) ), User characteristic data (personality, past illness, etc.), inquiry answer, vital data and results of voice analysis, target value, and advice content are stored.

  The computing unit 21 of the user terminal 2 performs inquiry execution, vital data input support, inquiry response, recording and transmission of vital data and voice analysis results, advice execution, and the like.

  The internal storage device 22 stores user data, inquiry question items, inquiry answers, vital data, a history of voice analysis results, target values, and advice contents.

  The GUI 41 is used to display a target value, progress status, etc. and to input vital data. The microphone 42 is used for an inquiry answer, input of vital data, and the like. The speaker 43 is used for voice output of advice, inquiry, and relaxation program.

  FIG. 3 is a diagram showing a database configured in the internal storage device 12 of the server 1 of FIG.

  The internal storage device 12 includes a history database 121, a personal database 122, an inquiry item database 123, a voice feature database 124, and an advice database 125.

  The history database 121 stores various histories such as an inquiry history, a voice analysis history, and a history of a result of user state determination. The personal database 122 stores a personal profile list, user recommended work content, action target, risk list, and the like, which will be described later. The question item database 123 stores question items for lifestyle question, physical question and mental question. The audio feature database 124 stores the normal audio feature amount of the user. The advice database 125 stores advice items, advice tables TB1, TB2, TB3, which will be described later.

  FIG. 4 is a flowchart showing the overall operation of the health management support system of FIG.

  First, the user notifies the server 1 of the start of use from the user terminal 2 when the use of the health management support system is started. Thereby, the calculating part 11 of the server 1 determines the frequency | count of utilization of the health management assistance system by a user (step S1). When the user uses the health management support system for the first time, the calculation unit 11 executes a use start process described later (step S2).

  When the user uses the health management support system for the second time or later, the calculation unit 11 determines whether the user's personal database 122 has been created (step S3). The calculation unit 11 determines that the personal database 122 has not been created when some items have not been input when the user uses the first time.

  If the personal database 122 has not been created, the calculation unit 11 causes the user terminal 2 to display the input history and uninput items (step S4). Thereafter, the calculation unit 11 executes a use start process (step S5).

  When the personal database 122 has been created, the calculation unit 11 inquires of the user whether or not to confirm the effect through the user terminal 2 (step S6). The user transmits to the server 1 an answer as to whether or not to confirm the effect from the user terminal 2. When receiving the reply that the effect confirmation is not executed, the calculation unit 11 executes a basic process described later (step S7).

  When receiving the response to execute the effect check, the calculation unit 11 executes an effect check process to be described later (step S8).

  FIG. 5 is a flowchart showing a system start process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 instructs the user to input personal information through the user terminal 2 (step S11). Here, the personal information is information about the individual of the user such as gender, date of birth, height, medical history, family history, and the like. FIG. 13 shows an example of personal information. The user inputs personal information through the user terminal 2. The inputted personal information is transmitted to the server 1.

Next, the computing unit 11 instructs the user to input vital data (hospital examination data) through the user terminal 2 (step S12). Here, vital data refers to measured values related to the body such as body weight, blood pressure, blood glucose level, BMI (weight (kg) / height (m) ² ), number of steps. FIG. 14 is a diagram illustrating an example of vital data. The user inputs vital data through the user terminal 2. The input vital data is transmitted to the server 1.

  Next, the calculating part 11 performs a lifestyle interview to a user through the user terminal 2 (step S13). Here, lifestyle interviews refer to interviews related to lifestyle such as eating, exercising, taking medicine, drinking alcohol, smoking, and resting. FIG. 15 is a diagram illustrating an example of a question item for lifestyle habit inquiry. The computing unit 11 displays or voice-outputs the question items for lifestyle inquiry in the user terminal 2. The user inputs an answer to lifestyle inquiry through the user terminal 2. The input answer to the lifestyle habit inquiry is transmitted to the server 1.

  Next, the computing unit 11 creates a personal profile list based on the received personal information, vital data, and answers to life interviews (step S14). For example, the personal information in FIG. 13, the vital data in FIG. 14, and the lifestyle interview in FIG. 15 are recorded in the personal database 122 as a personal profile list.

  Next, the computing unit 11 performs a mental inquiry to the user through the user terminal 2 (step S15). Here, the mental inquiry is an inquiry related to a mental state such as a mood check, a stress check, a motivation check, and a depression check. FIG. 16 is a diagram showing an example of question items for mental inquiry. The arithmetic unit 11 displays or voices the mental inquiry question items on the user terminal 2. The user inputs an answer to the mental inquiry through the user terminal 2. The inputted mental inquiry answer is transmitted to the server 1.

  Next, the calculating part 11 performs a physical inquiry to a user through the user terminal 2 (step S16). Here, physical interview refers to an interview related to physical conditions such as physical condition and subjective symptoms. FIG. 17 is a diagram illustrating an example of question items for physical examination. The computing unit 11 displays or voice-outputs the question items for physical interview on the user terminal 2. The user inputs an answer to the physical inquiry through the user terminal 2. The input physical inquiry answer is transmitted to the server 1.

  Further, the calculation unit 11 creates the recommended user work based on the personal profile list, the mental interview response, and the physical interview response (step S17). Here, the recommended user work includes input data items and their frequency (execution timing), inquiry question items and their frequency (execution timing), and the like. FIG. 18 is a diagram showing an example of recommended user work. The calculation unit 11 displays the recommended user work content on the user terminal 2. The user work recommendation content is recorded in the personal database 122.

  Finally, the calculation unit 11 instructs the user to set an action target through the user terminal 2 (step S18). In this case, the computing unit 11 creates a recommended action target based on the personal profile list, the mental inquiry answer, and the physical inquiry answer, and displays the action target on the user terminal 2. Here, the action goal refers to health matters that the user should improve. This action target includes a target value of each vital data. The target value of vital data is, for example, a target value of weight, a target value of blood pressure, a target value of blood glucose level, a target value of step count, and the like. The user sets an action target by himself / herself based on the recommended action target and target value. The set action goal is transmitted to the server 1. FIG. 19A is a diagram illustrating an example of an action target, and FIG. 19B is a diagram illustrating an example of setting a target value of vital data. This action goal is recorded in the personal database 122.

  FIG. 6 is a flowchart showing basic processing by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 presents the recommended user work content recorded in the personal database 122 to the user through the user terminal 2 (step S21).

  Next, the computing unit 11 of the server 1 instructs the user terminal 2 to execute an inquiry (step S22), acquire vital data (step S23), and perform voice analysis (step S24). When performing the inquiry, the calculation unit 11 selects the corresponding question item from the question items of lifestyle interview, mental interview, and physical interview based on the behavioral goal recorded in the personal database 122, and the selected question item Are displayed on the user terminal 2 or output as voice. In addition, when inputting vital data, the calculation unit 11 selects a corresponding input data item based on an action target recorded in the personal database 122 and displays or audios the selected input data item on the user terminal 2. Output.

  Details of the execution of the interview and the voice analysis will be described later. In the acquisition of vital data, the calculation unit 21 of the user terminal 2 uses the GUI 41, the display unit 24, and the data input unit 25 to assist the user in inputting vital data. The calculation unit 21 stores the inquiry answer, vital data, and voice analysis result in the internal storage device 22 and transmits them to the server 1. The computing unit 11 of the server 1 records the inquiry answer, vital data, and voice analysis results received from the user terminal 2 in the history database 121 as an inquiry history, vital history, and voice analysis history, respectively. In addition, the order of execution of an inquiry, acquisition of vital data, and voice analysis is not limited.

  The computing unit 11 determines the state of the user based on the contents of the personal database 122 and the inquiry answer, vital data, and voice analysis results recorded in the history database 121 (step S25). Here, the state of the user includes physical condition, emotion, motivation and the like. Details of the user state determination will be described later.

  Next, the computing unit 11 presents advice to the user through the user terminal 2 based on the result of the user state determination (step S26). Details of the presentation of advice will be described later.

  Thereafter, the computing unit 11 changes the recommended user work content recorded in the personal database 122 based on the result of the user state determination, and presents the changed recommended user work content to the user through the user terminal 2 (step S27). ). In this case, the calculation unit 11 changes the input data item and its frequency (execution timing), the inquiry question item and its frequency (execution timing), and the like. For example, in the example of recommended user work shown in FIG. 18, when the blood pressure increases, the measurement frequency is increased.

  FIG. 7 is a flowchart showing the inquiry execution process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 selects a data inquiry question item stored in the inquiry item database 123 (step S31). In this case, the calculation unit 11 selects, for example, three inquiry question items based on the action target.

  Next, the computing unit 11 commands the user terminal 2 to speak (step S32). Thereby, the operation unit 21 of the user terminal 2 outputs from the speaker 43 to the user, for example, "Hello". The user inputs a reply using the microphone 42 of the user terminal 2. The input user reply is transmitted to the server 1.

  The computing unit 11 of the server 1 determines whether or not there is a reply from the user terminal 2 (step S13). When there is a reply from the user terminal 2, the calculation unit 11 transmits the first question item to the user terminal 2 (step S34). Thereby, the calculation unit 21 of the user terminal 2 outputs the first question item from the speaker 43 to the user. The user inputs an answer using the microphone 42 of the user terminal 2. The input user answer is transmitted to the server 1.

  In addition, the inquiry question item has a format in which the answer is “Yes” or “No”. An example of an inquiry question item is "Is your physical condition good today?"

  The computing unit 11 of the server 1 determines whether or not there is a response from the user terminal 2 (step S35). When there is a response from the user terminal 2, the calculation unit 11 transmits the second question item to the user terminal 2 (step S36). Thereby, the calculation unit 21 of the user terminal 2 outputs the second question item from the speaker 43 to the user. The user inputs an answer using the microphone 42 of the user terminal 2. The input user answer is transmitted to the server 1.

  The computing unit 11 of the server 1 determines whether or not there is a response from the user terminal 2 (step S37). When there is a response from the user terminal 2, the calculation unit 11 transmits the third question item to the user terminal 2 (step S38). Thereby, the calculation unit 21 of the user terminal 2 outputs the third question item from the speaker 43 to the user. The user inputs an answer using the microphone 42 of the user terminal 2. The input user answer is transmitted to the server 1.

  The computing unit 11 of the server 1 determines whether or not there is a response from the user terminal 2 (step S39). When there is a response from the user terminal 2, the calculation unit 11 transmits a question end notification to the user terminal 2 (step S40). Thereby, the calculation unit 21 of the user terminal 2 outputs, for example, “thank you” from the speaker 43 to the user.

  Finally, the calculation unit 11 of the server 1 outputs and records the answer content as an inquiry history in the history database 121 (step S41).

  In steps S33, S35, S37, and S39, if there is no response or answer from the user within a predetermined time, the method of talking and the question items are changed, and the processing of steps S32 to S39 is performed again as shown by the broken line. repeat.

  FIG. 8 is a flowchart showing a voice analysis process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 instructs the user terminal 2 to collect a voice of an inquiry answer (step S51). Thereby, the calculation unit 21 of the user terminal 2 recognizes the voice input from the microphone 42 to the voice input unit 27 by the voice recognition unit 28 and analyzes it by the voice analysis unit 29. The result of the voice analysis is transmitted to the server 1.

  Next, the computing unit 11 of the server 1 extracts the feature amount of the voice received by the user terminal 2 (step S52). Then, the computing unit 11 compares the extracted voice feature quantity with the normal feature quantity of the user stored in the voice feature database 124 (step S53).

  Further, the computing unit 11 calculates an evaluation score based on the comparison result (step S54), and outputs and records the calculated evaluation score as a voice analysis history in the history database 121 (step S55).

  FIG. 9 is a flowchart showing a user state determination process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 refers to the personal database 122 (step S61). In this case, the calculation unit 11 refers to the personal profile list and the operation target recorded in the personal database 122.

  Next, the computing unit 11 determines a determination threshold based on the personal profile list and the operation target recorded in the personal database 122 (step S62). Here, the determination threshold value is a value serving as a reference when determining whether or not each vital data value (vital value) is normal. The determination threshold is, for example, an upper limit of blood pressure, an upper limit of body weight, an upper limit of blood glucose level, a lower limit of step count, or the like. This determination threshold value is different for each user. For example, the determination threshold value for the weight of a fat person is initially set high and gradually decreased.

  Next, the calculation unit 11 extracts vital data requiring attention from the input vital data (step S63). Here, the vital data requiring attention is vital data higher than a determination threshold value indicating an upper limit or vital data lower than a determination threshold value indicating a lower limit.

  Next, the calculation unit 11 extracts a cautionary question answer from the question answer (Step S64). Here, the cautionary question answer is a health negative answer among the lifestyle question answer, the mental question answer, and the physical question answer. For example, an answer of “Frequently” to a question item “Do you often eat your stomach?

  Furthermore, the calculation unit 11 creates a risk list based on the vital data requiring attention and the necessary medical inquiry answer (step S65). Here, the risk list includes vital data requiring attention and measurement date and time, as well as cautionary questioning answers and questioning date and time. FIG. 20 is a diagram showing an example of the risk list. The risk list is recorded in the personal database 122.

  FIG. 10 is a flowchart showing advice presentation processing by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 refers to the risk list recorded in the personal database 122 (step S71).

  Next, the computing unit 11 selects a corresponding advice item from the advice items recorded in the advice database 125 based on the risk list (step S72).

  In this case, the advice database 125 stores an advice table TB1 based on vital data and a mental condition, an advice table TB2 based on vital data and a lifestyle, and an advice table TB3 based on vital data and a physical condition. The calculation unit 11 selects an advice item from the advice tables TB1, TB2, and TB3 based on the risk list. 21 shows an example of the advice table TB1, FIG. 22 shows an example of the advice table TB2, and FIG. 23 shows an example of the advice table TB3.

  And the calculating part 11 displays the selected advice item on the user terminal 2 (step S73). FIG. 24 is a diagram showing an example of advice.

  FIG. 11 is a flowchart showing the effect confirmation processing by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 displays the inquiry history and vital history recorded in the history database 121 on the user terminal 2 (step S81).

  Next, the computing unit 11 performs an action target achievement check on the user through the user terminal 2 based on the action target recorded in the personal database 122 (step S82). In this case, the calculation unit 11 displays an action target check list on the user terminal 2 and asks the user for an answer of achievement. The user answers the achievement level of the action goal using the user terminal 2. The answer from the user terminal 2 is transmitted from the user terminal 2 to the server 1. FIG. 25 is a diagram showing an example of an action goal achievement check list.

  Next, the calculating part 11 performs an effect confirmation inquiry to a user through the user terminal 2 (step S83). Here, the effect confirmation inquiry is an inquiry for confirming the effect of self-management based on advice. FIG. 26 is a diagram showing an example of an effect confirmation inquiry. The calculation unit 11 displays or voice-outputs the question items for the effect confirmation inquiry on the user terminal 2. The user inputs an answer to the effect confirmation inquiry through the user terminal 2. The input response of the effect confirmation inquiry is transmitted to the server 1.

  Next, the computing unit 11 presents advice to the user through the user terminal 2 based on the answer to the action goal achievement check and the answer to the effect confirmation inquiry (step S84). Details of the presentation of advice will be described later.

  Furthermore, the calculation unit 11 instructs the user to reset the action target through the user terminal 2 (step S85). In this case, the computing unit 11 creates a recommended action target based on the answer to the action target achievement check and the answer to the effect confirmation inquiry, and displays the action target on the user terminal 2. A priority is given to each item of this action target. The user resets his / her own behavioral goal based on the recommended behavioral goal. The reset action goal is transmitted to the server 1. The reset action goal is recorded in the personal database 122. For example, the user resets “beer is limited to one large bottle” to “beer is limited to one medium bottle” in the action goal of FIG. Further, the user resets the weight target value “70 kg” of the target values in FIG. 19B to “68 kg”.

  Finally, the calculation unit 11 creates user work recommendation content based on the response to the action goal achievement check and the response to the effect confirmation inquiry (step S86). For example, the weight measurement count is changed from once a day to once every two days in the recommended user work in FIG. The calculation unit 11 displays the recommended user work content on the user terminal 2. The user work recommendation content is recorded in the personal database 122.

  FIG. 12 is a flowchart showing advice presentation processing by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 displays an effect list for each action target on the user terminal 2 (step S91). FIG. 27 is a diagram showing an example of an effect list.

  Next, the computing unit 11 confirms the achievement level and the effect for each target based on the response of the action target check and the response of the effect confirmation inquiry (step S92).

  And the calculating part 11 displays the reinforcement | strengthening advice of action motivation on the user terminal 2 based on the result of the achievement according to a goal, and the confirmation of an effect (step S93). For example, in the action target achievement check of FIG. 19, the action target “tobacco is within 5 cigarettes per day” is the achievement degree C, and in the item of “no smoking” in the effect confirmation inquiry of FIG. "If you do", as an advice to strengthen the motivation of action, it says, "By refraining from cigarettes, there is a good effect of reducing coughs and tans. By continuing, you can get a better effect." .

  Next, a method for changing the measurement frequency of the vital data and the inquiry frequency will be described.

  First, a method for changing the measurement frequency of vital data will be described. The blood pressure of hypertensive patients and the blood glucose level of diabetic patients are items that must be measured for those patients when performing health care, so as long as the patient has the disease, the measurement items It is not appropriate to delete from. However, it is possible to improve the convenience for the user and to make an effective state determination by changing the frequency according to changes in the body condition and the like.

  Regarding the frequency of each item, it is basic to follow the doctor's instructions, but when a user who is not so close to the doctor performs measurement for self-health management, the measurement is started at the standard frequency, and the user It is preferable to increase or decrease the frequency according to the state.

  If the measured value continues to be high compared to the reference value, the frequency increases because the risk increases and the user's own interest also increases, and if the measured value is low compared to the reference value, Conversely, by reducing the frequency, the frequency is appropriate from the viewpoint of health management and from the viewpoint of user motivation.

  As a calculation formula for changing the frequency, for example, the ratio between the measured value of each item and the reference value is calculated, the product of the ratio and the current frequency is calculated, and the calculation result is used as the frequency after the next time. In this case, a minimum measurement frequency is set so that the changed frequency does not fall below the minimum measurement frequency.

  However, for example, for a user whose blood sugar level exceeds a reference value and is diagnosed with diabetes, the frequency instructed by a doctor is the reference. It may be presented to the user to measure at a frequency instructed by a doctor, or a measurement indicating the relationship between the current blood glucose level and the measurement frequency, not the frequency change based on the ratio between the measurement value and the reference value. A frequency setting table may be prepared, and the frequency may be presented according to the setting table. The measurement frequency setting table is stored in the internal storage device 12 of FIG.

  FIG. 28 is a flowchart showing a process of changing the measurement frequency of vital data by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 selects an input data item (step S101). Next, the calculation unit 11 determines whether there is a current medical history related to the selected input data item (step S102).

  If there is no current medical history related to the input data item, the calculation unit 11 determines whether there is a measured value Vn of vital data (step S103). Here, the measured value Vn is a measured value of the item n of vital data, and n is an arbitrary integer.

  When there is a measured value Vn of vital data, the measured value Vn of vital data is compared with the reference value Sn (step S104), and it is determined whether or not the measured value Vn exceeds the reference value Sn (step S105). ). Here, the reference value Sn is a reference value of item n of vital data.

  When the measured value Vn exceeds the reference value Sn, the calculation unit 11 calculates a new frequency by the following equation (step S106).

Frequency = Fn × Vn / Sn
In the above equation, Fn represents the current frequency of item n of vital data. In this case, the frequency increases.

  Next, the computing unit 11 determines whether or not the calculated frequency exceeds a predetermined maximum frequency (step S107). If the calculated frequency does not exceed the maximum frequency, the calculation unit 11 determines whether there is another vital data item (step S108). If there are other items, the process returns to step S101, and if there are no other items, the process ends.

  If there is a current medical history associated with the selected input data item in step S102, the initial frequency is maintained (step S109). Furthermore, the calculating part 11 determines whether there are other items (step S110). If there are other items, the process returns to step S101, and if there are no other items, the process ends.

  In step S103, if there is no measured value Vn of vital data, the process proceeds to step S110. In step S105, when the measured value Vn does not exceed the reference value Sn, the calculation unit 11 determines whether or not the previous measured value is equal to or less than the reference value Sn (step S111). When the previous measurement value is less than or equal to the reference value Sn, the calculation unit 11 calculates a new frequency by the following equation (step S112).

Frequency = Fn × Vn / Sn
In this case, the frequency decreases. Then, it progresses to step S110. If the previous measurement value exceeds the reference value Sn, the process proceeds to step S110.

  In step S107, when the calculated frequency exceeds the maximum frequency, the frequency is set to Fnmax (step S113), and the process proceeds to step S108. Here, Fnmax is the maximum frequency.

  In this way, the measurement frequency of vital data is changed based on the measured value of vital data.

  FIG. 29A is a diagram illustrating an example of a measurement frequency setting table corresponding to the measured value of vital data, and FIG. 29B is a diagram illustrating a graph corresponding to the measurement frequency setting table of FIG. According to the example of FIG. 29, the measurement frequency increases as the fasting blood glucose level increases.

  FIG. 30A is a diagram showing another example of the measurement frequency setting table corresponding to the measured value of the vital data, and FIG. 30B is a diagram showing a graph corresponding to the measurement frequency setting table of FIG. is there. According to the example of FIG. 30, the measurement frequency increases as the systolic blood pressure increases.

  Next, a method for changing the frequency of inquiry regarding lifestyle, physical condition and mental condition will be described.

  Since there is no reference value for an inquiry, it is determined whether or not the obtained answer requires attention. If it is not necessary, the frequency is decreased, and if it is attention, the frequency is increased. As a frequency increase / decrease method, an increase / decrease coefficient is set for each item, and the frequency is changed by multiplying the current frequency by the coefficient according to the user's answer.

  However, if there is a current medical history related to the inquiry question item, the frequency is not changed from the initial state. In addition, items whose answers do not change, such as weight at the age of 20 and experience of smoking cessation, do not change once the answer is obtained, and can be deleted from the inquiry question items thereafter.

  Thus, efficient and effective health management can be performed by increasing the frequency of inquiry for important items and decreasing the frequency of inquiry for other items.

  FIG. 31 is a flowchart showing the inquiry frequency changing process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 selects an inquiry question item (step S121). Next, the calculating part 11 determines whether there exists the present medical history relevant to the selected inquiry question item (step S122).

  When there is no current medical history related to the inquiry question item, the calculation unit 11 determines whether or not there is an answer (step S123). If there is an answer, the calculation unit 11 determines whether the answer is a cautionary answer (step S124).

  When the answer is a cautionary answer, the calculation unit 11 updates the new frequency according to the following equation.

Frequency = Fn × βn
In the above equation, Fn represents the current frequency of item n, and βn represents a frequency increase index (1 ≦ βn ≦ 2) for item n. In this case, the frequency increases.

  Next, the computing unit 11 determines whether or not the calculated frequency exceeds a predetermined maximum frequency (step S126). If the calculated frequency does not exceed the maximum frequency, the calculation unit 11 determines whether there are other items (step S127). If there are other items, the process returns to step S121, and if there are no other items, the process ends.

  If there is a current medical history related to the selected inquiry question item in step S122, the initial frequency is maintained (step S128). Furthermore, the calculation unit 11 determines whether there are other items (step S129). If there are other items, the process returns to step S121, and if there are no other items, the process ends.

  If there is no answer in step S123, the process proceeds to step S129. If the answer is not a cautionary answer in step S124, the calculation unit 11 calculates a new frequency according to the following equation.

Frequency = Fn × αn
In the above equation, αn represents a frequency reduction index (0 ≦ αn ≦ 1) for item n. In this case, the frequency decreases.

  Further, the calculation unit 11 determines whether or not the calculated frequency is lower than a predetermined minimum frequency (step S131). If the calculated frequency is greater than or equal to the minimum frequency, the process proceeds to step S129. If the calculated frequency is lower than the minimum frequency, the calculation unit 11 determines whether the answer will not change thereafter (step S132).

  If the answer does not change thereafter, the computing unit 11 deletes the item (step S133) and ends the process. If the answer changes thereafter, the process proceeds to step S127.

  If the calculated frequency exceeds the maximum frequency in step S126, the calculation unit 11 sets the frequency to Fnmax (step S134), and proceeds to step S127. Here, Fnmax is the maximum frequency.

  In this way, the inquiry frequency is changed based on the answer to the inquiry.

  Next, comprehensive state determination based on answers to questions regarding vital data measurement values and lifestyle, physical condition, and mental condition will be described.

  In a general health management system, analysis or determination is performed for each input data item of a user, and the results are often shown in a list. However, when there are a plurality of input data items, there are items related to each other such as weight-meal, blood pressure-stress, and the like.

  In this embodiment, in consideration of how each item of vital data, lifestyle, physical condition, and mental condition is related to other items, a related item table representing the relationship between items is set, and a plurality of items are set. The health status is judged by combining the information obtained from the items.

  FIG. 32 is a diagram illustrating an example of a related item table of vital data, lifestyle, physical condition, and mental condition. The related item table is stored in the internal storage device 12 of FIG.

  First, as shown in FIG. 32, related items that cause state deterioration are associated with each item. For example, the weight item C is related to the stress item D, the meal item F, and the exercise item G. Some items, such as blood pressure item A and stress item D, influence each other.

  Next, the risk is determined for each item based on the measured value or answer obtained from the user and the reference value.

  For example, the determination result of the risk level is divided into five stages (1: no problem, 2: almost no problem, 3: some problem, 4: some problem, 5: very problem), and the determination result is “3” or more. Extract items as items that need attention.

  FIG. 33 is a diagram illustrating an example of the determination result of the risk level of each item and the extraction result of the related items requiring attention.

  For example, the determination result of the risk level of the item D that is the related item of the item C is “4”, the determination result of the risk level of the item F is “5”, and the determination result of the risk level of the item G is “1”. Is. In this case, item F and item D are extracted as related items requiring attention. In the example of FIG. 33, it is determined that a problem occurs in blood pressure, weight, and fatigue due to meals and stress.

  The general advice on “weight” simply includes, for example, “Let's exercise moderate exercise”, but it is unnecessary information for people who are exercising, and sometimes frustrates the user. There is a fear. In addition, advice such as “Let's take care of the eighth part of the stomach” is necessary, but there is a lack of information on specific countermeasures. Therefore, the number of question items is increased in the subsequent interviews so that more detailed advice can be provided.

  FIG. 34 is a flowchart showing a comprehensive state determination process by the calculation unit 11 of the server 1.

  First, the computing unit 11 of the server 1 calculates a risk level for each item (step S141). Next, the computing unit 11 determines whether there are other items (step S142). If there are other items, the process of step S141 is repeated. In the example of FIG. 33, risk determination results for items A to M are obtained in five stages.

  If there are no other items, the items requiring attention are extracted based on the calculated risk (step S143). In the example of FIG. 33, first, an item A whose risk level determination result is “3” or more is extracted as a caution item.

  Next, the computing unit 11 determines whether or not the risk level of the related item with respect to the extracted item requiring attention is high (step S144). In the example of FIG. 33, it is determined from the related item table of FIG. 32 that the related items for item A are items C, D, F, H, and I. First, whether the risk level of item C is “3” or higher. It is determined whether or not.

  If the risk level of the related item is high, the calculation unit 11 determines that the related item is a related item that requires attention, and extracts the related item that requires attention (step S145). In the example of FIG. 33, since the risk level of the item C, which is the related item of the item A, is “3” or more, the item C is extracted as a related item requiring attention.

  If the risk of the related item is not high in step S144, the process proceeds to step S146.

  Thereafter, the calculation unit 11 determines whether there are other related items (step S146). If there are other related items, the process returns to step S144, and the processes of steps S144 to S146 are repeated. Thereby, in the example of FIG. 33, the related items F, C, and D for the item A that is a caution item are extracted as the caution items.

  If there are no other related items, the calculation unit 11 determines whether there are other items requiring attention (step S147).

  If there are other items requiring attention, the process returns to step S143, and the processes of steps S143 to S147 are repeated. As a result, in the example of FIG. 33, items related to attention with respect to the items A, C, D, F, and K that are attention items are extracted.

  When there are no other items requiring attention, the calculation unit 11 creates a list of items related to attention for each item requiring attention (step S148). In the example of FIG. 33, a list of related items requiring attention with respect to items A, C, D, F, and K, which are items requiring attention, is created.

  Thereafter, the calculation unit 11 extracts items requiring attention and items related to attention from the list (step S149). Further, the computing unit 11 generates advice based on the extracted items requiring attention and related items requiring attention (step S150).

  In this way, comprehensive state determination can be performed based on information obtained from a plurality of related items.

  As described above, according to the health management support system according to this embodiment, self-health management of patients with lifestyle-related diseases can be effectively and efficiently performed by optimizing the inquiry question items and input data items and optimizing the advice. To be supported.

  In addition, effective advice in which advice is more suitable for an individual is presented as compared with the case where the input data item is a single category. Furthermore, by providing necessary input data items tailored to the individual at the necessary timing, the input data items are diverse and more efficient than when a large amount of data has to be input each time.

  As a result, it is possible to maintain higher motivation, and it is easier to maintain self-management and achieve the goals.

  In the present embodiment, the calculation unit 11 and the user terminal 2 of the server 1 correspond to an acquisition unit, the calculation unit 11 corresponds to a determination unit and an extraction unit, and the calculation unit 11 and the user terminal 2 of the server 1 serve as a presentation unit. Equivalent to. The calculation unit 11 and the user terminal 2 of the server 1 correspond to an inquiry unit, and the calculation unit 11 and the user terminal 2 correspond to an input unit. Further, the calculation unit 11 of the server 1 corresponds to a determination unit, a target creation unit, an evaluation unit, a change unit, a confirmation unit, and a selection unit, and the user terminal 2 corresponds to a display unit.

  Each of the acquisition means, determination means, extraction means, presentation means, inquiry means, input means, determination means, target creation means, evaluation means, change means, confirmation means, and selection means is constituted by a CPU and a program. Alternatively, it may be configured by hardware such as an electronic circuit.

  In the present embodiment, the health management support system is configured by the server 1 and the user terminal 2. However, by installing a part or all of the health management support program in the user terminal 2, the user terminal 2 can Some or all of these functions may be provided. When the health management support program is installed in the user terminal 2, the user terminal 2 functions as a health management support device.

  The present invention can be used for user health management and the like.

It is a schematic diagram which shows the outline | summary of the health-care assistance system which concerns on one embodiment of this invention. It is a block diagram which shows the structure of the health management system which concerns on one embodiment of this invention. It is a figure which shows the database comprised by the internal storage device of the server of FIG. It is a flowchart which shows the operation | movement of the whole health management assistance system of FIG. It is a flowchart which shows the process at the time of the system start by the calculating part of a server. It is a flowchart which shows the basic process by the calculating part of a server. It is a flowchart which shows the process of the inquiry execution by the calculating part of a server. It is a flowchart which shows the process of the audio | voice analysis by the calculating part of a server. It is a flowchart which shows the user's state determination process by the calculating part of a server. It is a flowchart which shows the advice presentation process by the calculating part of a server. It is a flowchart which shows the effect confirmation process by the calculating part of a server. It is a flowchart which shows the advice presentation process by the calculating part of a server. It is a figure which shows an example of personal information. It is a figure which shows an example of vital data. It is a figure which shows an example of the question item of lifestyle examination. It is a figure which shows an example of the question item of a mental inquiry. It is a figure which shows an example of the question item of a physical inquiry. It is a figure which shows an example of a user work recommendation content. (A) is a figure which shows an example of an action target, (b) is a figure which shows an example of the setting of the target value of vital data. It is a figure which shows an example of a risk list. It is a figure which shows an example of an advice table. It is a figure which shows an example of an advice table. It is a figure which shows an example of an advice table. It is a figure which shows an example of advice. It is a figure which shows an example of an action goal achievement check list. It is a figure which shows an example of an effect confirmation inquiry. It is a figure which shows an example of an effect list. It is a flowchart which shows the change process of the measurement frequency of vital data by the calculating part of a server. (A) is a figure which shows an example of the measurement frequency setting table corresponding to the measured value of vital data, (b) is a figure which shows the graph corresponding to the measurement frequency setting table of (a). (A) is a figure which shows the other example of the measurement frequency setting table corresponding to the measured value of vital data, (b) is a figure which shows the graph corresponding to the measurement frequency setting table of (a). It is a flowchart which shows the change process of the inquiry frequency by the calculating part of a server. It is a figure which shows an example of the related item table of vital data, a lifestyle, a physical state, and a mental state. It is a figure which shows an example of the determination result of the risk degree of each item, and the extraction result of the related item of the attention required. It is a flowchart which shows the comprehensive state determination process by the calculating part of a server.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Server 2 User terminal 11,21 Arithmetic unit 12,22 Internal storage device 13,23 Communication interface 24 Display unit 25 Data input unit 26 Data conversion unit 27 Speech input unit 28 Speech recognition unit 29 Speech analysis unit 30 Speech synthesis unit 31 Speech Output unit 41 GUI
42 Microphone 43 Speaker 121 History database 122 Personal database 123 Interrogation item database 124 Voice feature database 125 Advice database TB1, TB2, TB3 Advice table

Claims (16)

An acquisition means for acquiring information on the health status of the user;
A health management support apparatus comprising: a change unit that changes an item of information to be acquired next by the acquisition unit and a frequency of acquisition based on the information acquired by the acquisition unit. The changing means compares the information acquired by the acquiring means with a predetermined reference value, and changes the item of information to be acquired next by the acquiring means and the frequency of acquisition based on the comparison result. The health management support apparatus according to claim 1, wherein the apparatus is a health management support apparatus. The changing unit stores in advance a relationship between a value of information related to a user's health condition and an acquisition frequency, and is acquired by the acquiring unit next based on the information acquired by the acquiring unit and the relationship. The health management support apparatus according to claim 1 or 2, wherein an item of information to be changed and a frequency of acquisition are changed. The changing unit determines whether or not the content of the information acquired by the acquiring unit requires attention, and changes an item of information to be acquired by the acquiring unit and an acquisition frequency based on the determination result The health management support apparatus according to any one of claims 1 to 3, wherein An acquisition means for acquiring information on the health status of the user;
Determination means for determining the quality of the information acquired by the acquisition means;
Extraction means for extracting items to be noted of the user's health based on the determination result of the determination means;
A health management support apparatus, comprising: a presentation unit that presents advice relating to an item extracted by the extraction unit based on information acquired by the acquisition unit. The acquisition means acquires a plurality of user physiological amounts, information specific to the user, information about the user's voice, information about the user's physical condition, information about the user's mental condition, and information about the user's lifestyle,
The health management support apparatus according to claim 5, wherein the presenting unit presents advice based on a combination of a plurality of pieces of information acquired by the acquiring unit. The health management support according to claim 6, wherein the presenting means extracts related information from a plurality of pieces of information acquired by the acquiring means and presents advice based on a combination of the extracted information. apparatus. The presenting means determines whether or not each of the plurality of pieces of information acquired by the acquiring means requires attention, and extracts information that requires attention and information that requires attention related to the information that requires attention. The health management support apparatus according to claim 6 or 7, wherein advice is presented based on a combination of the information. Further comprising confirmation means for confirming the behavior and effect relating to the user's health management based on the information obtained by the obtaining means,
The health management support according to any one of claims 5 to 8, wherein the presenting means presents advice including subsequent actions based on a causal relationship between the actions and effects confirmed by the confirmation means. apparatus. Goal creation means for creating user behavioral or health goals,
The health according to any one of claims 1 to 9, further comprising an evaluation unit that evaluates a degree of achievement of the goal created by the goal creation unit based on the information acquired by the acquisition unit. Management support device. A user terminal used by the user;
A management computer,
The management computer is:
Obtaining means for obtaining information about the health status of the user from the user terminal;
A health management support system comprising: a change unit that changes an item of information to be acquired next by the acquisition unit and a frequency of acquisition based on the information acquired by the acquisition unit. A user terminal used by the user;
A management computer,
The management computer is:
Obtaining means for obtaining information on the health status of the user from the user terminal;
Determination means for determining the quality of the information acquired by the acquisition means;
Extraction means for extracting items to be noted of the user's health based on the determination result of the determination means;
A health management support system, comprising: a presentation unit that presents advice regarding an item extracted by the extraction unit to the user terminal based on the information acquired by the acquisition unit. Obtaining information about the health status of the user;
A health management support method comprising: changing an item of information to be acquired next and a frequency of acquisition based on the acquired information. Obtaining information about the health status of the user;
Determining the quality of the acquired information;
Extracting an item to be noted of a user's health based on the determination result;
And a step of presenting advice on the extracted item based on the acquired information. A computer-readable health management support program,
Processing to obtain information about the user's health status;
A health management support program that causes a computer to execute a process of changing an item of information to be acquired next and a frequency of acquisition based on the acquired information. A computer-readable health management support program,
Processing to obtain information about the user's health status;
A process for determining the quality of the acquired information;
Processing for extracting items to be noted of the user's health based on the determination result;
A health management support program causing a computer to execute a process of presenting advice regarding the extracted item based on the acquired information.

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