JP2008152344A - Health management instruction support apparatus, health management instruction support method and health management instruction support program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health management instruction support device for improving the effect of a lifestyle related disease instruction support. <P>SOLUTION: An input processing part composed of: an input interface 102; an information input control part 104; and a DB access part 106, acquires health diagnostic result information related to a lifestyle related disease. An algorithm application part 108 applies an exercise prescription output algorithm to acquired health diagnostic result information to derive exercise prescription information. An output interface 112 outputs the derived exercise prescription information with the acquired health diagnosis result information. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

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

  Various information systems have been proposed to support the improvement or prevention of lifestyle-related diseases such as diabetes, hyperlipidemia, hypertension, obesity, etc., where lifestyle is considered to be the main cause of onset. Yes. For example, in the medical field, a system has been proposed that assists doctors in providing lifestyle-related disease guidance based on health checkup result information related to lifestyle-related diseases.

For example, the device disclosed in Patent Document 1 stores blood chemistry test results for a subject and a doctor's diagnosis result based on the results, and supports the creation of a treatment plan written by the doctor. For this support, a template of guidance content on meals, exercise, medication, etc. is displayed on the screen, and any one of these is selected by the doctor's judgment and described in the medical treatment plan.
JP 2005-327218 A

  By the way, treatment or prevention of lifestyle-related diseases can naturally be achieved by appropriate improvement of lifestyle. For example, even when an obese subject is instructed to significantly improve exercise habits, if the subject has severe hypertension, the subject should be presented with guidance that recommends high-intensity exercise. That is inappropriate. In this case, the instruction content that recommends high-intensity exercise for patients with severe hypertension is usually not selected by a doctor. However, in the above-described conventional apparatus, a template including the same instruction content can be displayed for any subject. In other words, depending on what lifestyle-related diseases the subject suffers from, the template may contain guidance content that is inappropriate for that subject. Can be presented to the person. Therefore, there are certain limits to the effectiveness of lifestyle-related disease guidance support.

  The present invention has been made in view of such points, and provides a health management guidance support device, a health management guidance support method, and a health management guidance support program that can improve the effectiveness of lifestyle-related disease guidance support. Objective.

  The health care guidance support device of the present invention is a health check result acquisition means for acquiring health check result information related to lifestyle-related diseases, and by applying an exercise prescription output algorithm to the acquired health check result information, A configuration having application means for deriving exercise prescription information and output means for outputting the derived exercise prescription information together with acquired health check result information is adopted.

  The health management guidance support method of the present invention includes a diagnosis result acquisition step for acquiring health checkup result information related to lifestyle-related diseases, and an exercise prescription output algorithm applied to the acquired health checkup result information to exercise An application step for deriving prescription information and an output step for outputting the derived exercise prescription information together with the acquired health check result information are provided.

  The health management guidance support program of the present invention includes a diagnosis result acquisition step for acquiring health checkup result information related to lifestyle-related diseases, and applying an exercise prescription output algorithm to the acquired health checkup result information. An application step for deriving prescription information and an output step for outputting the derived exercise prescription information together with the acquired health check result information are executed by a computer.

  According to the present invention, the effectiveness of lifestyle-related disease guidance support can be improved.

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

  FIG. 1 is a block diagram showing a configuration of a health management guidance support system according to an embodiment of the present invention.

  The health management guidance support system 1 of this embodiment includes a health management guidance support device 10, a keyboard 20, a mouse 30, a physical fitness measuring device 40, an electrocardiograph 50, a monitor 60, and a printer 70.

  The health care guidance support device 10 includes an input interface (I / F) 102, an information input control unit 104, a database (DB) access unit 106, an algorithm application unit 108, a report editing unit 110, an output I / F 112, and subject information. DB 114, health diagnosis result information DB 116, exercise prescription output algorithm DB 118, life / nutrition guidance output algorithm DB 120, and THP (total health promotion plan) guidance output algorithm DB 122.

  The input I / F 102 is connected to the keyboard 20, the mouse 30, the physical fitness measuring device 40, and the electrocardiograph 50 so as to be able to communicate information. The input I / F 102 transfers all inputs from the information input devices (that is, the keyboard 20, the mouse 30, the physical strength measuring device 40, and the electrocardiograph 50) to the information input control unit 104.

  The information input control unit 104 causes the monitor 60 to display the input screen by outputting input screen data for input from the information input device to the monitor 60 via the output I / F 112.

  Further, the information input control unit 104 receives information input from the information input device according to the input screen displayed on the monitor 60 via the input I / F 102, interprets the received information, and interprets the information. The information is transferred to at least one of the DB access unit 106, the algorithm application unit 108, and the report editing unit 110. For example, when the information input from the information input device is subject information described later or health check result information described later, the information input control unit 104 transfers this information to the DB access unit 106. In addition, when the information input from the information input device is an instruction to create a lifestyle-related disease guidance report (report editing and screen display (or document printing)) described later, the information input control unit 104 The information is transferred to the DB access unit 106, the algorithm application unit 108, and the report editing unit 110. When the information input from the information input device is a message created or selected by an input person (usually a doctor), the information input control unit 104 transfers this message to the algorithm application unit 108. be able to.

  When the subject information is transferred from the information input control unit 104, the DB access unit 106 writes the transferred subject information to the subject information DB 114, and transfers the health examination result information from the information input control unit 104. If it is, the transferred health examination result information is written in the health examination result information DB 116.

  Here, the subject information means personal information of the subject, and includes at least a subject identification (ID) number, name, sex, date of birth, age, and the like. The health check result information means information indicating the result of a health check or a check-up, for example, a numerical value obtained in a check-up and a health check for a subject (that is, derived from a measured value and a measured value). Index), information obtained from interviews with subjects (for example, subjective symptoms, continued illness, past medical history (person and family), presence / absence of smoking, presence / absence of alcohol consumption), and diagnostic results obtained based on these information (For example, doctor's findings). Examples of the numerical values include height, weight, waist, BMI (body mass index), heart rate, blood pressure (systolic blood pressure and diastolic blood pressure), blood glucose level (fasting blood glucose level (FBS), occasional blood glucose level, and HbA1c. Value (average blood glucose level)), cholesterol (total cholesterol, HDL-cholesterol (good cholesterol) and LDL-cholesterol (bad cholesterol))), neutral fat and the like.

  Health check result information can be broadly classified into information related to lifestyle-related diseases and information not related to lifestyle-related diseases. For example, the blood pressure value and the presence or absence of hypertension are health checkup result information related to hypertension (hypertension diagnosis result information), and the blood sugar level and the presence or absence of diabetes are the result of health checkup related to diabetes. Information (diabetes diagnosis result information), cholesterol level, neutral fat level, presence or absence of hyperlipidemia, health check result information related to hyperlipidemia (hyperlipidemia diagnosis result information) Height, weight, waist, BMI, etc. are health diagnosis result information (obesity degree diagnosis result information) related to obesity. That is, all of these pieces of information are health check result information related to lifestyle-related diseases. In addition, in this embodiment, information (exercise load test result) obtained from an exercise load test performed using a device such as a bicycle ergometer and input from the physical fitness measuring device is related to lifestyle-related diseases. Not included in health check result information. In addition, the electrocardiogram data measured by the electrocardiograph 50 and inputted from the electrocardiograph 50 is also included in the health examination result information not related to lifestyle-related diseases in the present embodiment. The operation for inputting the subject information and the health check result information will be described later.

  Some subject information or health check result information does not necessarily have to be input directly from the information input device. That is, certain subject information or health check result information can be obtained from other subject information or health check result information. For example, the BMI can be calculated from the height and weight input from the information input device. The age can be calculated from the date of birth and the date of consultation input from the information input device. These calculations can be performed by the information input control unit 104 or the DB access unit 106.

  In addition, when a report creation instruction is transferred from the information input control unit 104, the DB access unit 106 is associated with the subject information about the subject who is the subject in the report creation instruction, and the subject. The health check result information is read from the subject information DB 114 and the health check result information DB 116, respectively, and the read information is transferred to the algorithm application unit 108.

  In the present embodiment, the combination of the input I / F 102, the information input control unit 104, and the DB access unit 106 constitutes an input processing unit as an acquisition unit of the present invention.

  The algorithm application unit 108 as an application unit applies a predetermined algorithm to the information transferred from the DB access unit 106 when a report creation instruction is transferred from the information input control unit 104. The algorithm application unit 108 transfers the algorithm application result to the report editing unit 110 together with the transferred subject information and health check result information (at least a part thereof). In addition, when the message created or selected by the input person is transferred from the information input control unit 104, the algorithm application unit 108 combines the message with the algorithm application result, the subject information, and the health check result information. To the report editing unit 110. The algorithm application operation will be described later.

  Here, the algorithm applied is the exercise prescription output algorithm stored in the exercise prescription output algorithm DB 118, the life / nutrition instruction output algorithm stored in the life / nutrition instruction output algorithm DB 120, and the THP instruction output algorithm DB 122. Any one of the THP teaching algorithms or a combination of a plurality of algorithms. The algorithm application unit 108 can derive exercise prescription information by applying an algorithm in the case of an exercise prescription output algorithm, and can derive life / nutrition guidance information in the case of a life / nutrition guidance output algorithm. In the case of THP guidance information can be derived. The exercise prescription information is information related to exercise presented to a subject for the purpose of improving and preventing lifestyle-related diseases and promoting health. The life / nutrition guidance information is information related to life and nutrition presented to the subject for the same purpose. The THP teaching algorithm is comprehensive information related to health, exercise, nutrition and mental health care that is presented to a subject for the same purpose. The THP guidance information may include exercise prescription information or life / nutrition guidance information. It should be noted that which algorithm should be applied can be specified in the report creation instruction.

  The report editing unit 110 as an editing unit displays the information transferred from the algorithm application unit 108 on the screen displayed on the monitor 60 according to the report creation instruction transferred from the information input control unit 104, or This information is edited for display on the document printed by the printer 70. The report editing unit 110 transfers the edited information to the output I / F 112.

  The output I / F 112 serving as an output unit outputs information edited for display on the screen among the information transferred from the report editing unit 110 to the monitor 60, whereby the edited information is displayed on the monitor 60. Of the information displayed on the screen and transferred from the report editing unit 110, information edited for display in writing is output to the printer 70, so that the edited information is printed on the printer 70.

  The subject information DB 114 has a storage medium for storing subject information. The stored subject information can be updated by a series of input processes performed by the input processing unit. The medical examination result information DB 116 has a storage medium for storing the medical examination result information. The stored medical examination result information can be updated by a series of input processes performed by the input processing unit. The exercise prescription output algorithm DB 118 has a storage medium for storing the exercise prescription output algorithm. The stored exercise prescription output algorithm is not specifically described in the present embodiment, but can be updated. The life / nutrition instruction output algorithm DB 120 has a storage medium for storing the life / nutrition instruction output algorithm. The stored life / nutrition instruction output algorithm is not specifically described in the present embodiment, but can be updated. The THP instruction output algorithm DB 122 has a storage medium for storing the THP instruction algorithm. The stored THP instruction algorithm is not specifically described in the present embodiment, but can be updated.

  The configuration of the health management guidance support system 1 according to the present embodiment has been described above.

  The configuration of the health management guidance support system 1 is not limited to the one described above. For example, in the above configuration, the input I / F 102, the information input control unit 104, the DB access unit 106, the algorithm application unit 108, the report editing unit 110, the output I / F 112, the subject information DB 114, the health examination result information DB 116, the exercise The prescription output algorithm DB 118, the life / nutrition instruction output algorithm 120, and the THP instruction output algorithm 122 form one device (unit) called the health management instruction support apparatus 10. However, the configuration of the health management guidance support system 1 is not limited to the above-described configuration. For example, the components in the health care guidance support apparatus 10 can be distributed to a plurality of devices (units) and the devices (units) can be interconnected by a network.

  In the above description, the health management guidance support device 10 is configured as a device separate from the physical fitness measuring device 40 and the electrocardiograph 50, but some or all of the components in the health management guidance support device 10 are included. Can be mounted on the physical strength measuring device 40, the electrocardiograph 50 or other medical devices.

  Next, the input operation of the subject information and the health check result information in the input processing unit including the input I / F 102, the information input control unit 104, and the DB access unit 106 will be described.

  When the input process of the subject information and the health check result information is started by the information input control unit 104, for example, an input screen shown in FIG. The person in charge of input uses the keyboard 20 and the mouse 30 to input subject information and health check result information in accordance with the input screen displayed on the monitor 60. When this input screen is displayed, the person in charge of the input displays the subject's ID number, name, gender, date of birth, height, weight, waist, heart rate, systolic blood pressure, and diastolic blood pressure. Can be entered as information, presence or absence of hypertension, presence or absence of diabetes, presence or absence of hyperlipidemia, presence or absence of β-blocker, fasting blood glucose level, occasional blood glucose level, HbA1c value, total cholesterol level, HDL -Cholesterol level, LDL-cholesterol level and triglyceride level can be input as health check result information. Further, the person in charge of input can input an arbitrary message in the message field. Furthermore, the person in charge of input can input the result of the inquiry about meals and smoking as health checkup result information. In this case, for example, the input screen shown in FIG. 3 may be displayed on the monitor 60 by clicking the “meal / cigarette” button on the input screen of FIG. Furthermore, the person in charge of input can also input a consultation date as health checkup result information. Furthermore, when it is desired to input health check result information in more detail, the person in charge of input displays another input screen on the monitor 60 by selecting the detailed mode (clicking the “Details” button in the input screen of FIG. 2). Then, another information can be input according to the screen. Furthermore, the person in charge of input can also input electrocardiogram data as health check result information. In this case, by selecting the ECG data input mode (clicking the “REST” or “ERGO” button on the input screen of FIG. 2), the ECG data of the subject at rest and during the exercise test is Captured from a total of 50 or other storage media.

  These pieces of information are input to the information input control unit 104 via the input I / F 102. When the input is confirmed, the information input control unit 104 distributes the input information to the DB access unit 106 and the algorithm application unit 108 and outputs them. For example, the subject information and health check result information are output to the DB access unit 106, and the message is output to the algorithm application unit 108.

  The DB access unit 106 writes the subject information to the subject information DB 114, and provides the health check result information, the result of the inquiry, the date of the visit and the electrocardiogram data as the subject information (particularly, the ID number of the subject). After associating, the result is written in the health examination result information DB 116.

  In this way, the input operation of the subject information and the health check result information is performed.

  Next, the algorithm application operation in the algorithm application unit 108 will be described. Here, a case where an exercise prescription output algorithm is applied will be described as an example.

  The algorithm application process is activated when the person in charge of input inputs a report creation instruction in accordance with, for example, the input screen of FIG. For example, when the button for “health menu exercise”, “for health menu continuation” or “exercise effect” displayed on the input screen is designated by clicking the mouse 30, an instruction to edit the report and display the report on the screen is given. The report creation instruction including the information is input from the information input control unit 104 to the DB access unit 106, the algorithm application unit 108, and the report editing unit 110. Alternatively, when the “print” button displayed on the input screen is designated by clicking the mouse 30, a report creation instruction including an instruction to edit the report and print the report is sent from the information input control unit 104 to the DB access unit. 106, the algorithm application unit 108 and the report editing unit 110. Note that the subject subject to the report creation instruction is usually the subject displayed on the input screen when the report creation instruction is input.

  When the report creation instruction is input, the DB access unit 106 reads the subject information from the subject information DB 114 and the health check result information from the health check result information DB 116, and outputs them to the algorithm application unit 108. .

  When a report creation instruction is input, the algorithm application unit 108 applies exercise prescription output algorithm to the information input from the DB access unit 106 to derive exercise prescription information, and the derived exercise prescription information Is output to the report editing unit 110.

  Incidentally, the algorithm application unit 108 can derive the exercise prescription information by applying the exercise prescription output algorithm only to the health diagnosis result information related to the lifestyle-related disease, but it is not related to the one related to the lifestyle-related disease. An exercise prescription output algorithm can also be applied to health checkup result information including things. For example, when electrocardiogram data is input as health check result information, the exercise prescription output algorithm can be executed using this information together with information related to lifestyle-related diseases. This makes it possible to derive exercise prescription information according to findings obtained from electrocardiogram data or exercise load test results such as ST-T abnormalities and the appearance of severe arrhythmias.

  Here, the exercise prescription output algorithm will be described in more detail with four examples.

  First, the first example will be described. In this example, the exercise prescription information to be derived is changed according to which lifestyle-related disease the subject suffers from.

  The exercise prescription output algorithm DB 118 stores, for example, the condition determination table shown in FIG. According to this condition determination table, if “with hypertension” is input, it is determined that the input health check result information corresponds to the condition E1, and if “with diabetes” is input, the input health check result. If it is determined that the information corresponds to the condition E2 and “hyperlipidemia” is input, it is determined that the input health check result information corresponds to the condition E3, and “BMI ≧ 25” (obesity) is input. Then, it is determined that the input health check result information corresponds to the condition E4.

  Further, the exercise prescription output algorithm DB 118 stores, for example, a comment selection table shown in FIG. According to this comment determination table, “no comment” is selected when the input health check result information does not correspond to any of the conditions E1 to E4. Further, when the input health check result information corresponds to at least one of the conditions E1 to E4, any one of the comments D1 to D3 corresponding to the corresponding condition is selected. The comment D1 is a comment for a hypertensive patient, an example is shown in FIG. 6, the comment D2 is a comment for a diabetic patient, an example is shown in FIG. 7, and the comment D3 is hyperlipidemic. This is a comment for patients with illness, and an example is shown in FIG.

  That is, the algorithm application unit 108 can derive exercise prescription information according to the presence or absence of a lifestyle-related disease indicated in the health check result information. Thereby, exercise prescription information presented to the subject can be changed depending on which lifestyle-related disease the subject suffers from.

  In the case where there are a plurality of conditions for which the input health check result information is applicable, the comment selection table in FIG. 5 defines the priority of comments. For example, when the condition E2 is met, that is, “with diabetes”, the comment D2 for the diabetic patient is selected even if the patient has other lifestyle-related diseases. Further, for example, when the condition E2 does not correspond to the condition E1 and the condition E3, that is, “with hypertension” and “with hyperlipidemia”, the comment D3 for the hyperlipidemia patient is Selected. That is, comment D2 for diabetic patients has the highest priority, comment D3 for hyperlipidemia patients has the next highest priority, and comment D1 for hypertension patients has the lowest priority. . And the algorithm application part 108 can derive | lead-out only one comment as exercise prescription information according to this priority. Accordingly, it is possible to prevent a plurality of comments contradicting each other from being presented to the subject, and it is possible to present an optimum comment according to the subject's disease.

  Subsequently, a second example will be described. In this example, the exercise prescription information to be derived is changed according to the degree of the lifestyle-related disease of the subject.

  The exercise prescription output algorithm DB 118 stores in advance one or more threshold values for the degree of each disease.

  As for the degree of obesity, for example, BMI = 30 is stored in the exercise prescription output algorithm DB 118 as a threshold value, and is used for the determination of the exercise prescription adaptation standard. Specifically, when the input health checkup result information indicates that the subject has a BMI <30 (lean, normal or obese once), the exercise prescription indication criterion is “adaptation” ( That is, it is determined that there is no particular problem when exercise prescription is performed on the subject. When BMI ≧ 30 is indicated, it is determined that the exercise prescription adaptation criterion is “conditional adaptation” (that is, the subject needs attention when performing exercise prescription).

  For diabetes, for example, FBS = 126 and FBS = 250 (the unit of FBS is mg / dl) and HbA1c = 8 and HbA1c = 9 (the unit of HbA1c is%). It is stored in the algorithm DB 118 and used to determine the exercise prescription adaptation criteria. Specifically, when the input health checkup result information indicates that the subject has FBS <126, the exercise prescription adaptation criterion is determined as “adaptation”. When 126 ≦ FBS <250 is indicated, the exercise prescription indication criterion is determined as “conditional indication”, and when FBS ≧ 250 is indicated, the exercise prescription indication criterion is “incompatible” (that is, , Meaning that exercise prescription should not be performed on the subject). When the input health check result information indicates that the subject is HbA1c <8, the exercise prescription indication criterion is determined as “adaptation”. When 8 ≦ HbA1c <9 is indicated, the exercise prescription adaptation criterion is determined as “conditional adaptation”. When HbA1c ≧ 9 is indicated, the exercise prescription indication criterion is determined as “incompatible”.

  For hypertension, for example, systolic blood pressure value = 160, systolic blood pressure value = 180, diastolic blood pressure value = 100, and diastolic blood pressure value = 110 (unit is mmHg) are used as exercise prescription outputs as threshold values. It is stored in the algorithm DB 118 and used to determine the exercise prescription adaptation criteria. Specifically, when the input health checkup result information indicates that the subject has a systolic blood pressure value <160 or a diastolic blood pressure value <100, the exercise prescription indication criterion is “adaptation”. It is determined. When 160 ≦ systolic blood pressure value <180 or 100 ≦ diastolic blood pressure value <110 is indicated, the exercise prescription indication criterion is determined as “conditional indication”. If systolic blood pressure value ≧ 180 or diastolic blood pressure value ≧ 110 is indicated, the exercise prescription indication criterion is determined as “incompatible”.

  For hyperlipidemia, for example, the presence or absence of coronary artery disease is stored as a threshold value in the exercise prescription output algorithm DB 118, and used for determination of the exercise prescription indication criteria. Specifically, if the input health check result information indicates that the subject does not have coronary artery disease, the exercise prescription indication criterion is determined as “adaptation”, and the subject is If it is shown that the patient has coronary artery disease, the exercise prescription indication criterion is determined as “conditional indication”.

  As for the electrocardiogram data or the exercise load test result, for example, the presence / absence of ST-T abnormality and the presence / absence of serious arrhythmia are stored in the exercise prescription output algorithm DB 118 as threshold values and used for the determination of the exercise prescription indication criteria. Specifically, when the input health checkup result information indicates that the subject does not have ST-T abnormality and serious arrhythmia, the exercise prescription indication criteria is “adaptation” or “ It is determined as “conditional adaptation”. In addition, when the ST-T abnormality is present or serious arrhythmia appears, the exercise prescription indication standard is determined as “incompatible”.

  When the exercise prescription adaptation criterion is determined to be “adaptation”, for example, “I can exercise” is selected as a comment presented to the subject. If the exercise prescription adaptation criterion is determined to be “conditional adaptation”, for example, “can exercise with caution” is selected as a comment presented to the subject. When the exercise prescription indication standard is determined to be “incompatible”, “exercise exercise” is selected as a comment to be presented to the subject. In this way, different exercise prescription information is derived depending on the degree of the disease. Thereby, the optimal exercise prescription information can be derived according to the degree of the disease.

  In the second example, a plurality of determinations such as determination based on blood pressure values and BMI can be performed in combination.

  Subsequently, a third example will be described. In this example, the strength of exercise recommended in the derived exercise prescription information is changed according to the degree of the lifestyle-related disease that the subject suffers from.

  The algorithm application unit 108 determines the intensity of exercise (Mets) to be prescribed for the subject from the degree of disease indicated in the input health check result information. For example, for subjects with a higher degree of disease, the intensity of exercise to be prescribed is lower. Then, exercise prescription information that recommends appropriate exercise according to the determined intensity is derived. When deriving the exercise prescription information, the algorithm application unit 108 refers to a recommended exercise list stored in advance in the exercise prescription output algorithm DB 118. An example of the recommended exercise list is shown in FIG. For example, when the determined intensity is 3.0 to 4.5, any one of the exercise types having Mets = 3.0 to 4.5 shown in the list (one or more may be used) Is selected. Thereby, optimal exercise prescription information can be derived according to the degree of lifestyle-related diseases that the subject suffers from.

  The recommended exercise list in FIG. 9 shows recommended seasons. Therefore, the input processing unit can determine the current season from the input consultation date, and the algorithm application unit 108 can select the exercise type associated with the determined season. Thereby, exercise prescription information rich in variations can be derived according to the season.

  In the present embodiment, the input processing unit determines the current season from the consultation date indicated in the input information, but is configured to obtain information indicating the current season or date. May be. Moreover, you may select the exercise | movement type linked | related with each information not only according to a season but according to the regional nature of a subject's residence, and the sex of a subject.

  Subsequently, a fourth example will be described. In this example, in the derived exercise prescription information, a plurality of exercise contents having different intensities are recommended.

  For example, the algorithm application unit 108 determines the exercise content having a standard intensity (in other words, normal intensity) with respect to the degree of disease of the subject based on the input health check result information. The In addition, the algorithm application unit 108 has an exercise content that is lighter than the standard intensity (in other words, lighter intensity) and an intensity that is stronger than the standard intensity (in other words, stronger intensity). The exercise content is determined. In this way, exercise prescription information including a plurality of exercise contents having different intensities is derived.

  Next, other processes that can be performed in the algorithm application unit 108 will be described with two examples.

  The first example is automatic message selection. For example, when a report creation instruction is input from the information input control unit 104 but no message is input, the algorithm application unit 108 selects an arbitrary message from the message list shown in FIG. 10, for example. be able to. The selected message is output to the report editing unit 110 together with the subject information, health check result information, and algorithm application result (exercise prescription information). Similarly to FIG. 9, a seasonal parameter is also associated with the message list of FIG. Therefore, the algorithm application unit 108 can select a message associated with the season corresponding to the current season or date. Note that a message associated with each piece of information may be selected depending on not only the season but also the regionality of the subject's residence and the sex of the subject.

  The second example is application of metabolic syndrome (visceral fat syndrome) determination. For example, the metabolic syndrome determination result information is obtained by performing the metabolic syndrome determination using the waist, the HbA1c value or the neutral fat value, and the good cholesterol value among the health diagnosis result information input from the DB access unit 106. be able to. The metabolic syndrome determination result information can be evaluated in five stages with respect to the possibility of metabolic syndrome, for example. The obtained metabolic syndrome determination result information is output to the report editing unit 110 together with exercise prescription information and the like.

  Next, the report created by the health management guidance support apparatus 10 will be described in more detail. The report described here can be used as any of an exercise prescription, a lifestyle guide, a nutrition guide, a medical treatment plan, and a THP guide.

  FIG. 11 shows an example of the format of a report to be created. In this report, each measurement value of obesity degree diagnosis result information, hypertension diagnosis result information, diabetes diagnosis result information, and hyperlipidemia diagnosis result information is displayed. In this example, each measurement value is graphed by the report editing unit 110.

  FIG. 12 shows another example of the format of the report to be created. In this report, comments about meals and smoking, messages created or selected by an input person, and exercise prescription information are displayed.

  When the creation of the “for health menu exercise” report is instructed according to the input screen shown in FIG. 2, the report in the format of FIG. 11 and the report in the format of FIG. 12 are created. These reports are preferably displayed collectively on one page.

  FIG. 13 shows still another example of the format of the report to be created. In this report, comments about meals and smoking, messages created or selected by the person in charge of input, exercise / meal effects (improvement status of each measurement value), and metabolic syndrome determination result information are displayed.

  In the example of FIG. 13, exercise / meal effects and metabolic syndrome determination result information are graphed by the report editing unit 110. In particular, each measurement value shown as an effect of exercise / meal is summarized in a radar chart.

  Each measurement value in this radar chart is displayed in the positional relationship of each display in the format of FIG. For example, the waist and weight displayed at the upper left in the radar chart are displayed at the upper left in the format of FIG. By adopting such a format, it is possible to provide an easy-to-view report for the subject.

  Each measurement value in the radar chart is displayed in a positional relationship determined based on a metabolic syndrome determination procedure. That is, the metabolic syndrome first considers the waist (or the value obtained by multiplying the waist and weight), then considers the HbA1c value or triglyceride value, and finally considers the good cholesterol level. Determined. Therefore, in this radar chart, the waist, body weight, HbA1c value, neutral fat value, and good cholesterol value are arranged in an order reflecting the metabolic syndrome determination procedure. As a result, it is possible to provide a report that is easy for the subject to understand.

  When the creation of the “health menu continuation” report is instructed according to the input screen shown in FIG. 2, the report in the format of FIG. 11 and the report in the format of FIG. 13 are created. These reports are preferably displayed collectively on one page.

  FIG. 14 shows still another example of the format of the report to be created. In this report, the fluctuation (trend) of each measured value over a specified period can be displayed as a chart (in this example, a line graph). In this chart, it is possible to make the report easier to see by performing editing so that the time when the measured value is improved and the time when the measured value is deteriorated are color-coded.

  When the creation of the “exercise effect” report is instructed according to the input screen shown in FIG. 2, the report in the format of FIG. 14 is created.

  As described above, according to the present embodiment, the exercise prescription information is derived by applying the exercise prescription output algorithm to the health diagnosis result information related to lifestyle-related diseases, so that the subject is affected. Can be associated with lifestyle-related diseases and exercise prescription information that can be presented to the subject as instructional content, and can provide appropriate exercise prescription information to the subject, The effectiveness of lifestyle-related disease guidance support can be improved.

  The embodiment of the present invention has been described above. The above description is an illustration of a preferred embodiment of the present invention, and the scope of the present invention is not limited to this. That is, the description of the system and apparatus configuration, the contents and numerical values of the subject information and the health check result information, the contents of the input screen and the output report, and the like is an example, and various modifications to these examples are within the scope of the present invention. Obviously, modifications, changes or additions are possible. For example, any of the information input unit 104, the DB access unit 106, the algorithm application unit 108, and the report editing unit 110 in the above-described embodiment can be configured by software. That is, a program for executing the health management guidance support method described in the above embodiment is stored in advance in a storage medium such as a ROM (Read Only Memory), and the program is operated by a CPU (Central Processor Unit). You may do it.

The block diagram which shows the structure of the health management guidance assistance system which concerns on one embodiment of this invention The figure which shows an example of the input screen which concerns on one embodiment of this invention The figure which shows the other example of the input screen which concerns on one embodiment of this invention The figure which shows the condition determination table which concerns on one embodiment of this invention The figure which shows the comment selection table which concerns on one embodiment of this invention The figure which shows an example of the comment which concerns on one embodiment of this invention The figure which shows the other example of the comment which concerns on one embodiment of this invention The figure which shows the further another example of the comment which concerns on one embodiment of this invention The figure which shows the recommended exercise list which concerns on one embodiment of this invention. The figure which shows the message list which concerns on one embodiment of this invention The figure which shows an example of the format of the report which concerns on one embodiment of this invention The figure which shows the other example of the format of the report which concerns on one embodiment of this invention The figure which shows the further another example of the format of the report which concerns on one embodiment of this invention The figure which shows the further another example of the format of the report which concerns on one embodiment of this invention

Explanation of symbols

1 Health management guidance support system 10 Health management guidance support device 102 Input I / F
104 Information Input Control Unit 106 DB Access Unit 108 Algorithm Application Unit 110 Report Editing Unit 112 Output I / F
114 Subject information DB
116 Health checkup result information DB
118 Exercise Prescription Output Algorithm DB
120 Life / Nutrition Guidance Output Algorithm DB
122 THP instruction output algorithm DB

Claims (14)

A health examination result acquisition means for acquiring health examination result information related to lifestyle-related diseases;
Application means for deriving exercise prescription information by applying an exercise prescription output algorithm to the obtained health checkup result information;
Output means for outputting the derived exercise prescription information together with the acquired health check result information;
A health management guidance support apparatus characterized by comprising: The acquisition means further acquires electrocardiogram data,
The application means applies the exercise prescription output algorithm to the acquired electrocardiogram data.
The health management guidance support apparatus according to claim 1. The health check result information obtained indicates the presence or absence of lifestyle-related diseases,
The application means changes the exercise prescription information derived according to the presence or absence of a lifestyle-related disease shown in the acquired health check result information.
The health management guidance support apparatus according to claim 1. The health check result information obtained indicates the presence or absence of diabetes and the presence or absence of other lifestyle-related diseases,
In the case where the application means indicates that the acquired health examination result information has diabetes and the lifestyle-related disease, the exercise prescription information for diabetic patients and the other lifestyle-related diseases Deriving exercise prescription information for diabetics among exercise prescription information for patients,
The health management guidance support apparatus according to claim 1. The other lifestyle-related diseases include any of obesity, hyperlipidemia and hypertension,
The health management guidance support apparatus according to claim 4. The health check result information obtained indicates the degree of lifestyle-related diseases,
The application means changes exercise prescription information to be derived according to the degree of disease indicated in the acquired health check result information.
The health management guidance support apparatus according to claim 1. The health check result information obtained indicates the degree of lifestyle-related diseases,
The application means changes the intensity of exercise recommended in the derived exercise prescription information according to the degree of disease indicated in the acquired health examination result information.
The health management guidance support apparatus according to claim 1. The acquisition means further acquires season information indicating the current season or date,
The application means changes the exercise prescription information derived according to the season indicated by the season indicated in the acquired season information or the date indicated in the acquired season information.
The health management guidance support apparatus according to claim 1. The application means derives metabolic syndrome determination result information by applying metabolic syndrome determination to the acquired health check result information,
The output means outputs derived metabolic syndrome determination result information together with derived exercise prescription information and acquired health check result information.
The health management guidance support apparatus according to claim 1. Editing means for editing the acquired health checkup result information, the derived exercise prescription information, and the derived metabolic syndrome determination result information for display on a screen or in writing;
The output means outputs information to be edited;
The health management guidance support apparatus according to claim 9. An editing means for editing the acquired health check result information and the derived exercise prescription information for display on a screen or in writing,
The obtained health examination result information includes obesity degree diagnosis result information, hypertension diagnosis result information, diabetes diagnosis result information, and hyperlipidemia diagnosis result information,
The obesity degree diagnosis result information, the hypertension diagnosis result information, the diabetes diagnosis result information, and the hyperlipidemia diagnosis result information are displayed in a predetermined positional relationship on the screen or in writing,
The measurement value related to the obesity diagnosis result information, the measurement value related to the hypertension diagnosis result information, the measurement value related to the diabetes diagnosis result information, and the measurement related to the hyperlipidemia diagnosis result information The value is collectively displayed in a chart with a positional relationship corresponding to the predetermined positional relationship on the screen or document.
The health management guidance support apparatus according to claim 1. An editing means for editing the acquired health check result information and the derived exercise prescription information for display on a screen or in writing,
The obtained health examination result information includes obesity degree diagnosis result information, hypertension diagnosis result information, diabetes diagnosis result information, and hyperlipidemia diagnosis result information,
The measurement value related to the obesity diagnosis result information, the measurement value related to the hypertension diagnosis result information, the measurement value related to the diabetes diagnosis result information, and the measurement related to the hyperlipidemia diagnosis result information The value is collectively displayed on the chart in the positional relationship determined based on the metabolic syndrome determination procedure on the screen or the document.
The health management guidance support apparatus according to claim 1. A diagnostic result acquisition step for acquiring health check result information related to lifestyle-related diseases;
An application step of deriving exercise prescription information by applying an exercise prescription output algorithm to the acquired health checkup result information;
An output step of outputting the derived exercise prescription information together with the acquired health check result information;
A health management guidance support method characterized by comprising: A diagnostic result acquisition step for acquiring health check result information related to lifestyle-related diseases;
An application step of deriving exercise prescription information by applying an exercise prescription output algorithm to the acquired health checkup result information;
An output step of outputting the derived exercise prescription information together with the acquired health check result information;
Health care guidance support program to make computer run.

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