JP2009110279A - Health guidance support server and its system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a health guidance support server for effectively and concretely performing health guidance. <P>SOLUTION: The server includes a communication means 24 for communicating between a client 10 and a storage device 30; a data analysis registration means 21 for calculating, for each disease, disease incidence relations between retrieval conditions composed of medical examination results usable over a prescribed period of three or more years and disease incidence ratios within the prescribed period corresponding to the retrieval conditions; a disease incidence information generation means 22 for generating an input screen for the medical examination results and calculating a disease incidence ratio to at least one disease to set it on a disease incidence information output screen for transmission to the client 10; and a guidance information generation means 23 for setting at least life style improvement measures to be recommended in terms of prescribed medical examination items each of which amount of medical examination results is significantly deviated from the normal value on a guidance information output screen for transmission to the client 10 through stylized documents and stylized words to be inserted into the stylized documents. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a health guidance support server and a system thereof that can be used to support guidance related to a lifestyle of a subject based on a test result obtained by a health check.

  Longevity has been achieved, and medical care has changed from the idea of curing the disease to the idea of preventing the disease. In this way, according to the 2005 National Health and Nutrition Survey, 1 in 2 men and 1 in 5 women from 40 to 74 years old are metabolic. Reported to be considered a Syndrome or Reserve. Therefore, it has been announced that specific medical examinations and specific health guidance related to metabolic syndrome will be started for the insured, dependents, etc. after 2008.

  In recent years, computerization of information management has progressed, and in most medical checkup facilities, a health checkup system used for health checkup (hereinafter referred to as “checkup”), and a health support support system used for health checkup for subjects. Has been introduced. However, the data used in the health guidance support system is often aged data of only the subject, and there are generally few facilities that can provide objective guidance by comparison with others.

Here, a system that performs objective health guidance using a large amount of accumulated data is also known (see, for example, Patent Document 1). In the health guidance support system described in Patent Literature 1, a correlation rule mining method is applied to data for the current year and the next year to analyze a health examination result, create a rule regarding a disease incidence for a predetermined item, Wait for the input of test results, search for rules that match the test results of the entered subject, and display the disease incidence corresponding to the preconditions (test results) in the rules obtained by the search Is done.
JP 2006-343792 A

  However, in the conventional health guidance support system, since a rule table showing the rules of the disease incidence rate over various items is created, there is a risk that the statisticality decreases, that is, the number of sample data decreases as the number of items increases. Had the problem of being. In addition, it is possible to obtain a life improvement effect from the difference between before and after setting a target value in the test result, but it is difficult to obtain a specific index as to what should be done for life improvement and convenience. It was not high enough.

  For example, when instructing a subject who has a high risk of developing diabetes to “BMI (Body Mass Index) less than 25”, the subject does not know how much weight he can reduce. There are also many. In addition, regarding blood glucose level and the like for which it is difficult to find a specific improvement method, specific guidance is required on how to change lifestyle habits.

  In view of the above situation, an object of the present invention is to provide a health guidance support server and a system thereof capable of performing more effective and specific health guidance.

In order to solve the above problems, the present invention provides the following configurations.
According to the first aspect of the present invention, in a server connected to be able to communicate with a client via a network, a health check result over a predetermined period of at least 3 years that can be used for calculating an onset rate for each predetermined disease. A data analysis registration means for calculating a disease onset relationship between a search condition comprising a medical examination result for a medical examination item related to the target disease and the onset rate within the predetermined period corresponding to the search condition; The medical examination result input screen is created, and at least one based on the disease onset relationship and the medical examination result on the medical examination item related to the corresponding disease among the medical examination results input on the input screen. Onset information creation means for calculating an onset rate for one disease and setting it on an onset information output screen transmitted to the client.

  According to a second aspect of the present invention, in the health guidance support server according to the first aspect, the onset information creation means is a relationship between the disease onset relationship and a medical examination result for a predetermined inquiry item among the medical examination items. Based on the above, a recommended life improvement measure is determined and displayed on the onset information output screen.

  The invention according to claim 3 is the health guidance support server according to claim 1 or claim 2, and at least a recommended life improvement measure for a predetermined medical examination item having a large deviation from the normal medical examination result from the normal value Is provided with instruction information creating means for setting the instruction information on the instruction information output screen transmitted to the client via a fixed sentence and a fixed word inserted into the fixed sentence.

  According to the first aspect of the present invention, in a server that is communicably connected to a client via a network, a medical examination over a predetermined period of at least 3 years that can be used for calculating the onset rate for each predetermined disease. A data analysis registration means for calculating a disease onset relationship between a search condition including a medical examination result for a medical examination item related to a target disease of the result and an onset rate within a predetermined period corresponding to the search condition; The medical examination result input screen is created, and at least one disease is determined based on the disease onset relationship and the medical examination result of the medical examination item related to the corresponding disease among the medical examination results input on the input screen. Health information capable of providing more effective and specific health guidance, because it includes an onset information creation means for calculating an onset rate and setting the onset information output screen transmitted to the client It is possible to realize a conductive support server.

  According to the invention of claim 2, in addition to the effect of claim 1, the onset information creation means is based on the relationship between the onset of the disease and the result of the medical checkup for a predetermined inquiry item among the medical checkup items. Since the recommended lifestyle improvement measures are determined and displayed on the onset information output screen, more effective and specific health guidance can be provided.

  According to the invention of claim 3, in addition to the effect of claim 1 or claim 2, at least a recommended life improvement measure for a predetermined medical examination item having a large deviation from the normal medical examination result. Can be provided on the guidance information output screen to be sent to the client via the standard sentence and the standard word inserted in the standard sentence, so that more effective and specific health guidance can be performed it can.

Hereinafter, embodiments of the present invention will be described with reference to the drawings showing examples.
FIG. 1 is a block diagram schematically showing an embodiment of a health guidance support system according to the present invention. As shown in FIG. 1, the health guidance support system 1 is connected to be communicable via a network, and manages the medical examination results such as the examination results and the inquiry results with the client 10 used by the user such as the health leader. A health guidance support server 20 that creates and provides information that can be used for health guidance in response to a request from the client 10, and stores at least medical examination results such as examination results and is accessible from the health guidance support server 20 A storage device 30.

  The client 10 is configured as, for example, a normal personal computer, and includes a display unit 11 that displays predetermined information, a keyboard, a mouse, and the like, and an operation input unit 12 that enables data input, operation input, and the like, and operation input A control processing unit 13 that performs control, processing, and the like in accordance with input, operation, and the like via the unit 12 and a communication unit 14 that enables communication with the health guidance support server 20 are provided.

  The health guidance support server 20 is configured, for example, as a normal personal computer, classifies the health check results, and registers them in a health check database (hereinafter referred to as a health check DB) 31 described in detail below in the storage device 30. At the same time, for example, a rule mining analysis method is applied to the usable data in the medical examination DB 31 to calculate an incidence rate, and similarly to a predetermined medical examination result as a search condition, an incidence rate database in the storage device 30 (hereinafter referred to as the incidence rate database) The data analysis registration means 21 to be registered in 32, and an input screen of the medical examination result is created and data is retrieved from the onset incidence DB 32 based on the data of a predetermined item of the inputted medical examination result. The onset information is created based on the onset information creation means 22 for creating the onset information for the subject, creating the output screen and setting the onset information, and the predetermined onset information. Data is retrieved from B32 to create guidance information related to health guidance for the subject, guidance information creating means 23 for creating an output screen and setting this guidance information, communication with client 10 and storage device 30 And communication means 24 enabling access. Here, the disease means a disease or a syndrome that falls under each case, and is simply referred to as a disease hereinafter. Similarly, the term “onset” refers to an onset of a disease, a syndrome, or the like, which is applicable in each case. Hereinafter, the onset is simply referred to as an onset, and the onset rate is the same.

  The storage device 30 stores at least the medical examination DB 31 and the onset rate DB 32 created by the data analysis registration unit 21. The storage device 30 may also store an output image database (hereinafter referred to as an output image DB) (not shown) that stores predetermined information used to create screens such as an input screen and an output screen. .

  FIG. 2 is an explanatory diagram showing onset criteria used for calculating the incidence of disease, and FIG. 3 is an explanatory diagram showing an example of data classification in the medical examination database performed by the data analysis registration means. Hereinafter, it is assumed that the onset reference data T201 to T203 regarding the onset rate of each disease is stored in the medical examination DB 31. With respect to the data belonging to each classification shown in FIG. 3, the determination of the onset of the disease is made based on the onset criteria shown in FIG. Specifically, the onset in the medical examination DB 31 is, for example, when this database is related to hypertension, the criteria for the onset of hypertension shown in FIG. 2, that is, the maximum blood pressure is 140 or more, or the minimum blood pressure is 90 or more, Based on the judgment.

  In the example shown in FIG. 3, the data in the medical examination DB 31 is classified with respect to the medical examination results in the consultation years T302 to T305. Here, the initial period is 1 year T302 and 2 years T303. A plurality of cases T301 are defined in accordance with the presence / absence of medical examination result data, presence / absence of onset, and arrangement thereof. Here, the presence or absence of onset is indicated by “◯” and “X” in the corresponding column of each consultation year. In addition, use propriety information T306 as to whether or not to use for the calculation of the onset rate is attached corresponding to the medical examination result. Furthermore, the presence or absence of onset T307 is attached in correspondence with the medical examination result used for the calculation of the onset rate.

  Specifically, the classification can be performed first in a case where a medical examination result is insufficient with respect to a medical examination and a case where a medical examination result is not insufficient with respect to a medical examination. Cases in which the medical examination result is insufficient include “one medical examination” T311 in which the number of medical examinations is one, and “no initial period medical examination” T311 that is not in the initial period. Data categorized in these cases is not used to calculate the incidence. This is indicated by setting “not used” and a blank in use suitability information T306 and presence / absence presence T307 corresponding to these cases, respectively.

  In cases where there is no shortage of health checkup results, “initial period onset” T313 that has already developed in the initial period, “normal to onset” T314 in which the health status has changed from normal to onset, and the health status has changed from normal to onset In addition, “normal → onset → normal” T315 that has changed to normal, “normal” T316 in which no onset was observed, and “no last year visit” T317 in which there was no last year visit are included.

  Data classified as “early period onset” T313 is not used because it has already developed in the initial period and information before the onset cannot be obtained, and a relationship between the onset and the medical examination result cannot be found. The data classified as “no last year visit” T317 is not used in the example shown in FIG. 3 because the presence or absence of the onset is not finally confirmed, but is used in a predetermined case such as when data is insufficient. It's okay. The data classified into the other cases T314 to T315 is used because it includes information about the relationship between the onset and the health checkup result.

  Specific examples T321 and T322 classified as “normal to onset” T314 have a medical examination result in the initial period, and change to onset in the final year and the second year, respectively. For the specific examples T321 and T322, “use” is set in the corresponding use suitability information T306, and “onset” is set in the presence / absence T307. In addition, specific examples T323 and T324 classified as “normal → onset → normal” T315 have a medical examination result in the initial period and have recovered but have changed to onset in the second year. For the specific examples T323 and T324, corresponding information is attached in the same manner as in the specific examples T321 and T322. Specific examples T325 and T326 classified as “normal” T316 include an initial period and subsequent medical examination results. Regarding the specific examples T325 and T326, “use” is set in the corresponding use propriety information T306, and “non-onset” is set in the presence / absence T307.

  FIG. 4 is an explanatory diagram showing an example of data stored in the incidence database. As shown in FIG. 4, the incidence DB 32 includes, for example, a checker's attribute T401 including age, sex, etc. every 10 years, a test result T402, an inquiry result T403, and an incidence of each disease. And T404. The attribute T401, examination result T402, and inquiry result T403 form search conditions, and the incidence T404 is searched according to the search conditions.

  The data forming the search condition and the incidence T404 are associated with each other and recorded as, for example, the same record in the same record as the onset rate data. Here, for the incidence T404, for example, for each disease such as hypertension, diabetes, hyperlipidemia, etc., the ratio of those who have developed the disease among the health checkers having the same health condition and the same lifestyle is set. The

  FIG. 5 is a schematic diagram illustrating an example of an input screen for medical examination results. On this input screen D5, subject attributes D501 and D502, examination results D503 to D510, and examination results D511 to D516, and buttons D517 and D518, which are created by the onset information creation means 22 and can be search conditions, Is displayed. Here, for each of the subject's sex D501 and the interview results D511 to D516, a box in which the selected content is displayed, for example, with a thick frame is attached, and the subject's age D502 and the test results D503 to D510 are displayed. Are attached with boxes in which the age at the time of medical examination and the latest test result are set, respectively. The buttons include a reset button D517 for resetting the set value of the input screen D5, and an execution button D518 that is instructed to be executed when pressed after the input is completed. When the execution button D518 is pressed on the input screen D5, a transition is made to an onset information output screen D6 described below, and this screen D6 is transmitted to the client 10 and displayed.

  When the execution button D518 is pressed, the onset information creation unit 22 searches the onset rate database 32 for corresponding onset rate data using the data set on the input screen D5 as a search condition. Here, items of search conditions used for each disease are set in advance, and the onset information creation means 22 calculates an onset rate based on this item for each disease and sets it on the onset information output screen D6. It has become.

  FIG. 6 is a schematic diagram illustrating an example of an onset information output screen. On the onset information output screen D6, as shown in FIG. 6, the recommended improvement recommended as the most effective life improvement measures for reducing the onset rate of each disease within three years and the onset rate D601 to D603 of each disease. Items 1st D605 to D607, 2nd recommended improvement items D608 to D610 recommended as effective next life improvement measures, and data number display D604 indicating the number of data of the data used for calculating the results are displayed. And data is set for each.

  By indicating the number of data in the population of data used for calculation of the result in the box of the data number display D604, it is possible to determine whether or not the result is reliable. Here, the recommended improvement item first rank D605 to D607 and the recommended improvement item second rank D608 to D610 are set in a depressible box. By pressing each box D605 to D610, guidance information output described below is performed. The screen D7 changes, and this screen D7 is transmitted to the client 10 and displayed.

  The guidance information creation means 23 also creates corresponding guidance information and sets it on the guidance information output screen D7 when the boxes D605 to D610 on the onset information output screen D6 are pressed.

  FIG. 7 is a schematic diagram illustrating an example of a guidance information output screen. On the guidance information output screen D7, as shown in FIG. 7, the incidence rates D701 and D702 before and after the recommended life improvement measures are executed, the data number display box D703 similar to the box D604, and abnormalities in the examination (belonging to the onset) ), Abnormal inspection items D704 to D706, improvement instruction information D707 to D709, and operation buttons D710 to D712 are displayed. The onset rate D701 is set to the onset rate within 3 years when living as it is, and the onset rate D702 is pressed with the recommended improvement item first place D605 to D607 or the recommended improvement item second place D608 to D610. The onset rate within 3 years when the recommended life improvement measures for the corresponding item are performed is set.

  The abnormal inspection item includes an abnormal inspection item name D705 indicating an inspection item in which an abnormality is detected, current data D706 regarding the item, and a fixed sentence D704 in which these are set. The improvement guidance information is determined according to the fixed sentence D707 determined according to the abnormality inspection item name D705, the standard value D709 for the subject, the abnormality inspection item name D705, the current data D706, and the standard value D709. The fixed word D708. Here, the fixed phrases D704 and D707 and the fixed word D708 are extracted from those stored in the output image DB. For example, a calculated value (hereinafter referred to as a converted value) is set for the standard value D709 of an item for which a value needs to be calculated for each subject such as weight calculated based on BMI.

  The operation buttons are “return” D710 for operation to return to the previous screen, that is, the onset information output screen D6, “return to top” D711 for operation to return to the top screen, that is, the input screen D5, and It consists of three buttons, “END” D712 for ending.

  FIG. 8 is a flowchart illustrating the flow of processing performed after an access from a client. Hereinafter, the onset rate DB 32 to be used will be described as already created by the data analysis registration unit 21.

  First, the onset information creation means 22 creates an input screen D5, transmits the created input screen D5 to the client 10 via the communication means 24, and waits for a reply from the client 10 (S101). Here, on the client 10 side, for example, as shown in FIG. 5, for example, a health instructor or the like performs data setting, box selection, reset button pressing, execution button pressing, etc. Each time, communication is performed with the health guidance support server 20 via the communication means 14, and input data, operation contents, and the like are transmitted and received. The setting of data on the input screen D5 may be performed by setting the medical examination result of the subject in the medical examination DB 31 or the like in advance and reading the corresponding data from the medical examination DB 31. This makes it possible to improve convenience, operability, and the like, thereby enabling more health guidance to the user. The above processing is called input screen creation processing.

  During this time, on the health guidance support server 20 side, when receiving information other than pressing the button on the input screen D5, the onset information creating means 22 modifies the input screen D5 according to the received information and returns it to the client 10, A pressing detection process for detecting the pressing of the button on the client 10 side is performed (S102). Next, when it is detected that the button is pressed in step S102, the onset information creation unit 22 determines whether the pressed button is an execution button (S103), and is not a press of the execution button, that is, a reset button. When it is determined that the button is pressed, the process returns to step S101, and the processing in the subsequent steps is repeated.

  When it is determined in step S103 that the execution button has been pressed, the onset information creation unit 22 extracts, as the onset information creation process, the corresponding search condition for each predetermined disease from the data in the input screen D5 individually. The corresponding onset rate is searched from the onset rate DB 32 to create onset information, the onset information output screen D6 is created and the onset information is set, and the onset information output screen D6 in which the data is set is transmitted via the communication means 24. The message is transmitted to the client 10 and displayed, and a reply from the client 10 is waited (S104). Here, on the client 10 side, for example, a health instructor or the like presses one of the boxes D605 to D610 in the onset information output screen D6 shown in FIG. 6, for example, and specifies the pressed boxes D605 to D610. Information to be transmitted is transmitted to the health guidance support server 20 via the communication means 14.

  The content of the onset information output screen D6 transmitted to the client 10 in step S104 is, for example, as shown in FIG. The examination results of the subject shown on the input screen D5 are as follows: gender D501 is “male”, age D502 is “43 years old”, height D503 and weight D504 to BMI is “34.6”, and systolic blood pressure D507 is “137”. Since the minimum blood pressure D508 is “86”, increased by 10 kg or more from 20 years old, D515 is “Yes”, and D516 that does not move much is “Yes”, the incidence in the incidence data T405 in the incidence DB32 is the onset information. The “onset rate” D601 to D603 of the corresponding disease in the output screen D6 is set.

  Next, the onset information creation means 22 inverts the setting contents of the interrogation results D511 to D516 in the input screen D5 and searches for the onset rate in the same manner. Get interview results that are low. Specifically, the setting contents of the inquiry results D511 to D516 are reversed with each other between “Yes” and “No” and individually searched, and the incidence of each disease is searched and acquired. The interview results with the lowest incidence and the interview results with the lowest incidence are set in the boxes of the first recommended improvement item D605 to D607 and the second recommended improvement item D608 to D610 for each disease. The

  For example, regarding hypertension, when the item “increased by 10 Kg or more from 20 years old” in the inquiry result on the input screen D5 is set to “No”, the onset rate data T406 corresponds to this search condition, and the onset rate is 43. If the item “do not move the body too much” is set to “No”, the onset rate data T407 corresponds to this search condition, and the onset rate is 39.1%. If the incidence of the latter item is the lowest after a series of similar search processes, the first recommended improvement item is “actively exercise” provided for “do not move the body” and “no” in advance. "Is extracted from the output image DB and set in the corresponding box.

  Next, the box specifying information for specifying the recommended improvement item first place 806 to 808 and the recommended improvement item second place 809 to 811 in the onset information output screen D6 pressed on the client 10 side is transmitted to the health guidance support server 20. In the health guidance support server 20, the guidance information creation means 23 receives the box specifying information, detects the pressing of the box, specifies the boxes D605 to D610 (S105), and provides the guidance information according to the pressed box. The guidance information output screen D7 is created, guidance information is set, the guidance information output screen D7 in which data is set is transmitted to the client 10 via the communication means 24 and displayed, and a reply from the client 10 is awaited. (S110).

FIG. 9 is a flowchart illustrating a process for creating a guidance information output screen having guidance information.
First, the guidance information creating unit 23 acquires information set on the input screen D5, information set on the onset information output screen D6, and box specifying information from the onset information creating unit 22 as data acquisition processing (S111). ) Based on the information set on the onset information output screen D6, the box specifying information, and the box specifying information, the boxes 806 to 811 pressed on the client 10 side are specified, and the normal value for the specified box is set as the medical examination DB 31. (S112).

  Next, the guidance information creation means 23 determines whether or not conversion is necessary for the acquired normal value (S113). Here, the case where conversion is required corresponds to the case where it is not possible to determine whether the value is normal only by the value of body weight such as BMI. The necessity of conversion is set in the output image DB, for example. It may be determined based on.

  When it is determined in step S113 that conversion is necessary, the instruction information creating unit 23 performs conversion based on usable data (for example, weight and height in the case of BMI) set in the input screen D5. At the same time, the normal value obtained is converted into corresponding data (for example, weight in the case of BMI) (S114). When it is determined in step S113 that it is not necessary, the process jumps to step S115.

  Next, the instruction information creating means 23 compares the set value of the input screen D5 corresponding to the pressed box (for example, box D605) or the converted value (for example, BMI) obtained therefrom with this normal value. A comparison result (hereinafter referred to as a difference) is classified into a predetermined range (S115).

  FIG. 9 shows an example of processing when the difference is classified into three categories of “first instruction range”, “second instruction range”, and “third instruction range”. For example, when the normal value 25 is BMI, for example, the “first instruction range” is “normal value to less than normal value +5 (that is, 25 or more and less than 30)”, and the “second instruction range” is “normal value +5”. “Less than 10 (ie, 30 or more and less than 35)”, “third instruction range” may be set to “normal value + 10 or more (ie, 35 or more)” or the like.

  Next, the guidance information creating means 23 determines the range in which the difference is classified (S116), creates a guidance information output screen D7 corresponding to the box identified in step S112, and the incidence rates before and after the change D701, D702. Is read from the output image DB according to the determined range, and the normal value or the conversion value corresponding to this is set as the standard value D709 (S117 to S119). ), The guidance information output screen D7 is transmitted to the client 10 (S120).

  FIG. 7 shows an example of a screen displayed when the box of recommended improvement item number D605 for hypertension on the onset information output screen D6 shown in FIG. 6 is pressed. In the screen example shown in FIG. 7, since the BMI of the subject is “34.6”, the fixed phrase D707 and the fixed word D708 corresponding to the “second instruction range” are read from the output image DB, The standard weight for the subject is “70.5 kg” as the normal value of BMI.

  As a result, in step S120, as shown in FIG. 7, on the guidance information output screen D7, “*******” as a standard sentence D707, with the standard weight ******* in mind to walk. “Let's aim.” Is set, “every day, 30 minutes or more” is set as the fixed word D708, and “70.5 kg” is set as the standard value D709. Here, “*” indicates a blank. It is possible to indicate the degree of exercise such as the frequency of exercise through the fixed word D708.

  Returning to FIG. 8, the guidance information output screen D7 is displayed on the client side, and any of the “return” D710, “return to top” D711, and “end” D712 operation buttons is pressed, and the pressed button is displayed. Information to be identified is returned to the health guidance support server 20.

  Next, in the health guidance support server 20, the guidance information creation unit 23 performs a pressing detection process for detecting button pressing on the client 10 side (S 121), and whether or not the pressed button is the “return” button D 710. (S122), and when it is determined that the “return” button D710 is selected, the onset information output screen D6 is transmitted to the client 10 again to be displayed, and the process returns to step S110 to repeat the subsequent processing.

  When it is determined that the button pressed in step S122 is not the “return” button D710, it is determined whether the pressed button is the “return to top” button D711 (S124), and the “return to top” button D711. When it is determined that, the process returns to step S101 and the subsequent processing is repeated. If it is determined in step S124 that the button is not the “return to top” button D711, the process ends.

It is a block block diagram which shows typically one Example of the health guidance support system by this invention. It is explanatory drawing which shows the onset reference | standard used for calculation of the onset rate of a disease. It is explanatory drawing which shows an example of the classification | category of the data in the medical examination database which a data analysis registration means performs. It is explanatory drawing which shows an example of the data stored in the incidence rate database. It is a schematic diagram which shows an example of the input screen of a medical examination result. It is a schematic diagram which shows an example of an onset information output screen. It is a schematic diagram which shows an example of a guidance information output screen. It is a figure which shows the flowchart explaining the flow of the process performed after there exists an access from a client. It is a figure which shows the flowchart explaining the process which produces the guidance information output screen which has guidance information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Health guidance support system 10 Client 11 Display means 12 Operation input means 13 Control processing means 14 Communication means 20 Health guidance support server 21 Data analysis registration means 22 Onset information creation means 23 Guidance information creation means 24 Communication means 30 Storage device 31 Medical examination Database 32 Incidence rate database D5 Input screen D501, D502 Subject attributes D503-D510 Examination results D511-D516 Interview results D517, D518 Button D6 Onset information output screen D601-D603 Incidence rate of each disease D604 Data count display D605-D607 Recommended improvement item first D608-D610 Recommended improvement item second D7 Guidance information output screen D701, D702 Incidence rate before and after execution of life improvement measures D703 Data count display D704-D706 Abnormal test item D707 D709 Improvement guidance information D710 to D712 Operation buttons T201 to T203 Data on the onset criteria of each disease T301 Case T302 to T305 Consultation year T306 Use appropriateness information T307 Presence of onset T311 to T317 Case name T321 to T326 Specific example T401 Attributes of the examinee T402 Test result T403 Questionnaire result T404 Incidence rate of each disease T405 to T407 Incidence rate data

Claims (3)

In a server that is communicably connected to a client via a network,
For each predetermined disease, a search condition including a medical examination result for a medical examination item related to a target disease among medical examination results over a predetermined period of at least three years that can be used for calculating the incidence, and this Data analysis registration means for calculating a disease onset relationship with the incidence within the predetermined period corresponding to a search condition;
The medical examination result input screen is created, and at least one based on the disease onset relationship and the medical examination result on the medical examination item related to the corresponding disease among the medical examination results input on the input screen. A health guidance support server comprising: onset information creation means for calculating an onset rate for one disease and setting the onset information output screen transmitted to the client.   The onset information creation means determines a recommended life improvement measure based on the relationship between the disease onset relationship and the result of the medical checkup for a predetermined inquiry item among the medical checkup items, and displays it on the onset information output screen The health guidance support server according to claim 1, wherein:   For a predetermined medical examination item having a large deviation from the normal medical examination result, at least a recommended life improvement measure is transmitted to the client via a standard sentence and a standard word inserted into the standard sentence. The health guidance support server according to claim 1, further comprising guidance information creation means set on a guidance information output screen.

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