JP2018163493A - Evaluation system and evaluation program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an evaluation system capable of promptly and objectively evaluating a state of an object person.SOLUTION: An evaluation device 100 for evaluating a state of an object person comprises: a body management information DB 141 which stores evaluation information used to evaluate the state of the object person and associated with the object person; an arithmetic logical unit 151 which calculates non-temporal calculation result information for not locating a temporal change of evaluation information and temporal calculation result information for locating a temporal change of evaluation information on the basis of the evaluation information stored in the body management information DB 141; an evaluation unit 152 which evaluates the state of the object person on the basis of the non-temporal calculation result information and temporal calculation result information calculated by the arithmetic logical unit 151; and a state output unit 153 which outputs the state of the object person evaluated by the evaluation unit 152.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an evaluation system and an evaluation program.

  In general, schoolchildhood, when many children are growing, is the most important period of childhood growth, and if the discovery of problems in childhood health during this period is delayed, future intellectual and mental It is important to know the child's health status because it can adversely affect physical disabilities. On the other hand, for example, because children are immature, the health status of children is managed in each household (for example, a family such as parents). Since it is not always constant, it has been difficult to uniformly manage the health of children in each home alone.

  Therefore, a school management apparatus (see, for example, Patent Document 1) that records and uses health information is proposed as an apparatus for uniformly managing the health status of children at educational institutions (for example, elementary schools). It had been. In educational institutions, information about the health of children is recorded using a device such as this school management device, and the health status of children is evaluated based on the recorded information.

Japanese Patent Laid-Open No. 6-83843

  However, with regard to the evaluation of the health condition of children performed at the educational institution side, specialists (for example, school doctors, etc.) visually check each child's information recorded in the school management device one by one and experience their own experience. Because it was based on the law, it took a relatively long time (for example, about one and a half to two minutes per person), and there was room for specialist subjectivity to enter the evaluation. There was a possibility of lack of objectivity.

  The present invention has been made in view of the above problems, and an object of the present invention is to provide an evaluation system capable of quickly and objectively evaluating the state of a subject.

  In order to solve the above-described problems and achieve the object, the evaluation system according to claim 1 is an evaluation system for evaluating the state of the subject, and is used for evaluating the state of the subject. Evaluation information storage means for storing the evaluation information associated with the subject, and the evaluation information based on the evaluation information stored in the evaluation information storage means. Non-temporal calculation result information that does not specify a change with time of the information for information, calculation means for calculating temporal calculation result information that specifies the change with time of the evaluation information, and the non-temporal calculation result calculated by the calculation means An evaluation unit that evaluates the state of the subject based on the calculation result information and the time-lapse calculation result information, and a state output unit that outputs the state of the subject evaluated by the evaluation unit.

  The evaluation system according to claim 2 is the evaluation system according to claim 1, wherein the evaluation system is a system for evaluating a health condition of the subject, and the information storage means for evaluation is at least the Physical information specifying at least one of the height or weight of the subject is stored as the evaluation information, and the evaluation means is based on the non-time-lapse calculation result information and the time-lapse calculation result information calculated by the calculation means. A non-aging risk level that is a degree of risk relating to the health condition of the subject, and the non-aging risk level that can be evaluated based on the non-aging calculation result information, and a degree of risk relating to the health condition of the subject Before evaluating and evaluating the non-aging risk level that can be evaluated based on the temporal calculation result information at a certain temporal risk level Based on the non-time risk level and the time risk level, the health of the subject, to assess the state of the subject.

  Further, the evaluation system according to claim 3 is the evaluation system according to claim 2, wherein the calculation means is configured to perform health of the subject based on the physical information stored in the evaluation information storage means. The non-temporal calculation result information and the temporal calculation result information are calculated for each of a plurality of categories related to the state, and the evaluation unit calculates the non-temporal calculation result information and the temporal analysis for each of the plurality of categories calculated by the calculation unit. Based on the calculation result information, the non-aging risk level and the aging risk level are evaluated for each of the plurality of categories, and the maximum risk level at which the degree of risk related to the health condition of the subject is maximum is set for each of the plurality of categories. Based on the maximum risk level for each of the plurality of categories evaluated, the health status of the subject is evaluated as the status of the subject. That.

  The evaluation system according to claim 4 is the evaluation system according to any one of claims 1 to 3, wherein the evaluation system is a generation factor that generates the state of the target person and improves the state of the target person. Therefore, an accepting means for accepting answer information for a question item about the cause related to the matter that can be amended by the subject person, and an occurrence in which the state of the subject person has occurred based on the answer information accepted by the accepting means An analysis means for analyzing the cause; and an occurrence cause output means for outputting the cause of occurrence analyzed by the analysis means.

  The evaluation system according to claim 5 is the evaluation system according to claim 4, wherein there are a plurality of the question items, and the respondent of the plurality of question items is determined based on an attribute of the respondent. Guiding means for guiding what should be answered.

  The evaluation program according to claim 6 is an evaluation program for evaluating the state of the subject, wherein the computer is evaluation information used for evaluating the state of the subject, and the subject Based on the evaluation information stored in the evaluation information storage means for storing the evaluation information associated with the non-time-lapse calculation result information that does not specify a change with time of the evaluation information; Based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means, the calculation means for calculating the temporal calculation result information for specifying the temporal change of the evaluation information, It functions as an evaluation unit that evaluates the state, and a state output unit that outputs at least the state of the subject evaluated by the evaluation unit.

  According to the evaluation system of claim 1, the non-temporal calculation result information and the temporal calculation result information are calculated based on the evaluation information, and the subject's person is calculated based on the calculated non-temporal calculation result information and the temporal calculation result information. By evaluating the state, for example, the state of the target can be evaluated without performing the evaluation work by the specialist, so the evaluation work by the specialist can be omitted, and the state of the subject can be quickly evaluated. Can do. Further, for example, since there is no room for the specialist's subjectivity to be included in the evaluation of the state of the subject, the state of the subject can be evaluated objectively. In addition, for example, evaluation can be performed using two types of information, that is, non-time-lapse calculation result information and time-lapse calculation result information. For example, the outline is evaluated and the details are evaluated by the time-lapse calculation result information).

  According to the evaluation system of claim 2, at least physical information that specifies at least one of the height and weight of the subject is stored as evaluation information, and the health of the subject is based on the non-aging risk level and the aging risk level. By evaluating the condition, for example, the results of physical measurements performed regularly at school can be used effectively, so the health status is evaluated using regular information for each target period for each subject. The health condition of the subject can be evaluated with higher accuracy. In addition, for example, because the risk related to the health status of the subject can be taken into account, it is possible to reliably evaluate the health status in question for the subject and prevent delays in grasping the health status in question. can do.

  According to the evaluation system of claim 3, the non-time-dependent risk level and the time-dependent risk level are evaluated for each of a plurality of categories related to the subject's health state, and the maximum risk with the highest degree of risk related to the subject's health state By evaluating the level for each of a plurality of categories and evaluating the health status of the subject based on the maximum risk level for each of the evaluated categories, for example, a plurality of categories related to the health status (for example, growth disorder, slimming, Therefore, the health condition of the subject can be appropriately evaluated.

  According to the evaluation system of claim 4, by analyzing the cause of the occurrence of the subject's condition based on the answer information, for example, the cause of the occurrence can be grasped. You can take action to improve.

  According to the evaluation system according to claim 5, for example, a question can be appropriately asked to the respondent by guiding what the respondent of the plurality of question items should answer based on the attribute of the respondent. Therefore, the answer information for the question item can be efficiently acquired.

  According to the evaluation program of the sixth aspect, the non-temporal calculation result information and the temporal calculation result information are calculated based on the evaluation information, and the subject's person is calculated based on the calculated non-temporal calculation result information and the temporal calculation result information. By evaluating the state, for example, the state of the target can be evaluated without performing the evaluation work by the specialist, so the evaluation work by the specialist can be omitted, and the state of the subject can be quickly evaluated. Can do. Further, for example, since there is no room for the specialist's subjectivity to be included in the evaluation of the state of the subject, the state of the subject can be evaluated objectively. In addition, for example, evaluation can be performed using two types of information, that is, non-time-lapse calculation result information and time-lapse calculation result information. For example, the outline is evaluated and the details are evaluated by the time-lapse calculation result information).

It is a block diagram of the evaluation apparatus which concerns on embodiment. It is the figure which illustrated physical management information. It is the figure which illustrated evaluation item information. It is the figure which illustrated risk level standard information. It is the figure which illustrated comprehensive evaluation criteria information. It is the figure which illustrated question item specific information. It is the figure which illustrated reply specific information. It is the figure which illustrated reference information for analysis. It is a flowchart of a problem discovery process. It is an example of a display of personal sheet information. It is an example of a display of an evaluation result display area. It is a flowchart of a guidance process. It is an example of a display of analysis support table information. It is a flowchart of a cause analysis process.

  Embodiments of an evaluation system according to the present invention will be described below in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

[Basic concept of the embodiment]
First, the basic concept of the embodiment will be described. Embodiments generally relate to an evaluation system.

  Here, the “evaluation system” is a system that evaluates the state of the subject, for example, a system that evaluates the health state of the subject. For example, the evaluation information storage unit, the calculation unit, and the evaluation unit And status output means. This evaluation system includes, for example, a general-purpose system configured by providing each of the above-described means, or a concept that includes each means and is configured as a dedicated system for evaluating the condition of the subject. It is.

  The “subject” is a person to be evaluated, specifically, a person who is evaluated using an evaluation system, and includes, for example, children, adults, elderly people, men, and women. It is a concept. “Subject status” refers to the presence of the subject to be evaluated, specifically, the presence of the subject to be evaluated using the evaluation system. For example, the health status, the state of learning ability , And cognitive ability status.

  The “evaluation information storage unit” is a unit for storing evaluation information. “Evaluation information” is information used to evaluate the state of the subject, and is information associated with the subject. For example, physical information, learning ability evaluation information, cognitive ability evaluation information It is a concept including “Physical information” is information used to evaluate the health condition of the subject, and is a concept including, for example, information that specifies at least one of the height and weight of the subject. “Learning ability evaluation information” is information for evaluating the state of the subject's learning ability, and is a concept including, for example, information for specifying the result of the achievement test. The “cognitive ability evaluation information” is information for evaluating the state of the cognitive ability of the target person, and is a concept including, for example, information for specifying the result of the cognitive ability test.

  The “calculation means” is means for calculating non-time-lapse calculation result information and time-lapse calculation result information based on the evaluation information stored in the evaluation information storage means. “Non-temporal calculation result information” is information that does not specify changes over time in the evaluation information. For example, it is a different type of information from the temporal calculation result information. It is information that can be calculated by an arbitrary arithmetic expression that shows a scientific basis for evaluation of the state in a related field. The “time-lapse calculation result information” is information that identifies changes over time in the evaluation information. For example, it is a different type of information from the non-time-lapse calculation result information. It is information that can be calculated by an arbitrary arithmetic expression generated based on an evaluation of a subject by an expert in a related field, and can be calculated by an operation including a difference with respect to the latest evaluation information.

  Further, the “evaluation means” is a means for evaluating the state of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means, and the “state output means” is an evaluation. Means for outputting the status of the subject evaluated by the means.

  In the embodiment described below, the “evaluation system” is configured by providing each of the above-described means with respect to the general-purpose system, and the “subject” is a child (particularly a child). The case where “state” is a healthy state and “evaluation information” is physical information will be described.

(Constitution)
First, the configuration of the evaluation apparatus according to the present embodiment will be described. FIG. 1 is a block diagram of an evaluation apparatus according to the present embodiment.

  An evaluation apparatus 100 shown in FIG. 1 is an evaluation system, specifically, an evaluation system for evaluating the health condition of an elementary school child, for example, an apparatus installed in a school. Includes a communication unit 11, an operation unit 12, a display unit 13, a recording unit 14, and a control unit 15.

(Configuration-Communication Department)
The communication unit 11 is a communication unit that performs communication with other devices via a network. The “other device” is any device other than the evaluation device 100, and is a concept including, for example, a stationary computer device provided inside or outside the school, a portable portable terminal, or the like. . Although the specific kind and structure of this communication part 11 are arbitrary, it can be comprised including a well-known communication circuit etc., for example.

(Configuration-operation unit)
The operation unit 12 is a reception unit that receives various operation inputs from the user through operations by the user. Although the specific type and configuration of the operation unit 12 are arbitrary, for example, a known input device such as a mouse or a keyboard can be provided.

(Configuration-display section)
The display unit 13 is a display unit that displays various information based on the control of the control unit 15. Although the specific kind and structure of this display part 13 are arbitrary, it can comprise, for example, a flat panel display like a well-known liquid crystal display or an organic EL display.

(Configuration-Recording part)
The recording unit 14 is a recording unit that records a program and various data necessary for the operation of the evaluation apparatus 100, and is configured using, for example, a hard disk (not shown) as an external recording apparatus. However, including a magnetic recording medium such as a magnetic disk instead of or together with a hard disk, an optical recording medium such as a DVD or a Blu-ray disk, or an electric recording medium such as a flash, ROM, USB memory, SD card, etc. Any recording medium can be used.

  The recording unit 14 includes, for example, a physical management information database 141 (hereinafter referred to as “DB”), an evaluation item information DB 142, a risk level reference information DB 143, a comprehensive evaluation reference information DB 144, a question item specifying information DB 145, An answer specifying information DB 146 and an analysis reference information DB 147 are provided.

(Configuration-Recording unit-Physical management information DB)
The physical management information DB 141 is an evaluation information storage unit that stores at least physical information. Specifically, the physical management information DB 141 is a physical management information storage unit that stores physical management information. Here, “physical management information” is information that serves as a basis for evaluating the health status of the subject, and is specifically information including physical information itself and information calculated from the physical information. FIG. 2 is a diagram illustrating physical management information. Note that although specific information is actually stored for “...” In FIG. 2, the illustration is omitted for convenience of explanation (each example of the information shown below). The same applies to the figure). As shown in FIG. 2, physical management information includes item “identification information”, item “name information”, item “date information”, item “age information”, item “height information”, item “weight information”, item “Height SD value information”, item “growth rate information”, item “growth rate SD value information”, item “weight change information”, item “weight SD value information”, item “obesity level information”, item “obesity level determination” The information ", the item" standard weight information ", and information corresponding to each item are associated with each other.

  Here, the information corresponding to the item “identification information” is identification information for uniquely identifying the target child, so that it is automatically unique when the name information described later is input. It is stored (in FIG. 2, “ID1” etc.). The information corresponding to the item “name information” is name information for specifying the name of the target child (“AA AA” in FIG. 2). The information corresponding to the item “date information” is date information for specifying the date on which physical measurement was performed (in FIG. 2, “20110410” for specifying April 10, 2011, etc.). Note that “physical measurement” means measuring physical information, for example, measuring at least height or weight, and as an example, it is performed at least once per semester at school. The information corresponding to the item “age information” is age information for specifying the age of the child (in FIG. 2, the age at the date specified by the date information is specified, and “6 years 8 Month)). The information corresponding to the item “height information” is height information for specifying the height of the child (in FIG. 2, “119.1” for specifying the height of 119.1 cm as measured by physical measurement). ). Further, the information corresponding to the item “weight information” is weight information for specifying the weight of the child (in FIG. 2, “24.0” for specifying 24.0 kg, which is the weight measured by physical measurement). )

The information corresponding to the item “height SD value information” is height SD value information for specifying the SD value of the height (“0.5” in FIG. 2). Here, the “height SD value” is a value that specifies the height of the child who is the target in the population in consideration of the variation in the height of the child of the same age as the population, for example, , (“Height of the target child” − “standard height in the population”) ÷ “standard deviation of the height in the population”. Note that the height information in FIG. 2 is used for “the height of the target child” in this calculation formula, and the “standard height in the population” and “the standard deviation of the height in the population” are the target children. An arbitrary group that has been calculated in advance by an arbitrary method is used for each age group (for example, children nationwide, children by prefecture).

Further, the information corresponding to the item “growth rate information” is growth rate information for specifying the rate of height growth (FIG. 2 is “6.1” for height of one year and 6.1 cm). etc).
Further, the information corresponding to the item “growth rate SD value information” is growth rate SD value information for specifying the SD value of the growth rate (“0.9” in FIG. 2). Here, the “growth rate SD value” refers to the variation in the height of children of the same age as the population, and identifies the early or late growth of the height of the children in the population For example, it is a value obtained by an arithmetic expression of (“growth rate of the target child” − “standard growth rate in the population”) ÷ “standard deviation of the growth rate in the population”. In addition, for the “growth rate of the target child” in this calculation formula, the growth rate information of FIG. 2 is used, and for “standard growth rate in the population” and “standard deviation of the growth rate in the population”, Similar to the above-mentioned “standard height in the population” and “standard deviation of the height in the population”, those already calculated are used.

  The information corresponding to the item “weight change information” is weight change information for specifying a change in weight (in FIG. 2, “1.2” for specifying 1.2 kg, etc.). The information corresponding to the item “weight SD value information” is weight SD information for specifying the SD value of weight (“0.6” in FIG. 2). Here, the “SD value of the body weight” is a value that identifies the weight of the child who is the subject in the population in consideration of the variation in the body weight of the child of the same age as the population. , (“Weight of subject child” − “standard weight in population”) ÷ “standard deviation of body weight in population”. Note that the weight information of FIG. 2 is used for the “weight of the target child” in this arithmetic expression, and the standard weight information described later in FIG. 2 is used for the “standard weight in the population”. As for the “standard deviation of body weight”, an already calculated one is used in the same manner as the above-mentioned “standard deviation of height in the population” (the same applies to the definition of obesity described later).

  Further, the information corresponding to the item “obesity level information” is obesity level information for specifying the obesity level (in FIG. 2, “6.2” for specifying 6.2%, etc.). Here, the “obesity degree” is the degree of obesity. For example, (“weight of subject child” − “standard weight in population”) ÷ “standard weight in population” × 100 This is the required value.

  The information corresponding to the item “obesity level determination information” is obesity level determination information that specifies the determination result of the obesity level (“standard” in FIG. 2). Here, the “obesity degree determination result” is information for specifying a standard for the degree of obesity, for example, “standard”, “slim”, “light obesity”, “obesity” not shown in FIG. As an example, the obesity level information in FIG. 2 and an arbitrary standard (for example, “less than −10.0 is“ slim ”, and −10.0 to less than 10.0 is“ standard ”). Or more than 10.0 to less than 20.0 is “light obesity” and 20.0 or more is “obesity”).

  The information corresponding to the item “standard weight information” is standard weight information for specifying the standard weight (in FIG. 2, “22.6” for specifying 22.6 kg, etc.). Here, with respect to the “standard weight”, an arbitrary one that has been calculated in advance by an arbitrary method in a population for each age of the target child (for example, children nationwide, children by prefecture) is used. I will do it.

  Of these pieces of information, at least height information and weight information correspond to “body information”. Some of the physical management information is stored by an input operation performed by the user through the operation unit 12, and other parts of the physical management information are described later. Stored by performing the discovery process.

(Configuration-Recording Unit-Evaluation Item Information DB)
The evaluation item information DB 142 in FIG. 1 is an evaluation item information storage unit that stores evaluation item information. Here, the “evaluation item information” is information on individual items used for comprehensively evaluating the health condition of the child. Specifically, at least the non-time-lapse calculation result information and the time-lapse calculation result information described above. It is information including. FIG. 3 is a diagram illustrating evaluation item information. As shown in FIG. 3, the evaluation item information includes an item “identification information”, an item “name information”, an item “physical finding information”, an item “risk item information”, an item “measurement item information”, and an item “measurement value”. Information, item “risk level information”, item “total evaluation information”, and information corresponding to each item are associated with each other. The information corresponding to the item “identification information” and the information corresponding to the item “name information” are the same as the information corresponding to the item having the same name in FIG.

  Here, the information corresponding to the item “physical finding information” is physical finding information for specifying a plurality of categories for classifying the measurement value information described later, specifically, the content of the abnormality regarding the health condition is specified. It is information (in FIG. 3, “growth disorder” that specifies that there is a failure in growth, “slimming” that specifies that it is lean or overweight, and that it is fat or overweight. "obesity"). The “abnormality about the health condition” means that the health condition is not normal, specifically, a health condition that requires improvement measures, and includes, for example, the above-mentioned growth disorder, slimming, obesity, and the like. It is.

  The information corresponding to the item “risk item information” is risk item information that specifies the content of an abnormality regarding the health condition corresponding to the measurement value information described later. Specifically, it is a subordinate concept of physical finding information. Corresponding information (in FIG. 3, “short stature” that specifies that the stature is low, “low growth rate” that specifies that the stature growth rate has decreased, and that the stature growth rate is poor. "Elongation slimming" to identify the excessive thinness, "Excessive slimming" to identify the progress of the lean state, "Progressive slimming" to identify the progress of the lean state, Identifies “slimming progression rate”, “weight gain failure” to identify weight gain failure, “excessive obesity” to identify excessive obesity, obesity status is progressing Identify "progressive obesity" and the state of obesity But to identify the rate of progress "obesity rate of progression").

  The information corresponding to the item “measurement item information” is measurement item information for specifying a reference for obtaining measurement value information, which will be described later. Specifically, the reference for obtaining the measurement value information based on each piece of information in FIG. Information for identifying the above-mentioned non-temporal computation result information or criteria for obtaining the temporal computation result information. In FIG. 3, specifically, “latest height SD value”, “growth rate SD value average (latest 1 year)”, “latest obesity level for slimming”, and “latest obesity level for obesity” are non-chronological calculation results. The criteria for obtaining information are specified, and “maximum height SD value and latest difference”, “maximum obesity and latest difference”, “maximum obesity and latest difference / period”, “latest weight” "Increase in", "Minimum obesity level and latest difference", and "Minimum obesity level and latest difference / period" specify criteria for obtaining time-lapse calculation result information. Also, in FIG. 3, in detail, “latest height SD value” for specifying the latest height SD value information, “growth rate SD value average (latest average)” for specifying the average of growth rate information in the latest year, “Maximum height SD value and latest difference” for specifying the difference between the latest height SD value information and the latest height SD value information, “latest obesity for slimming” specifying the latest obesity information, obesity The difference between the latest obesity information and the latest obesity information for the largest obesity information, the difference between the latest obesity information and the latest obesity information “Maximum obesity and latest difference / period” that identifies the information divided by the period from the date information corresponding to the largest one of the information to the date information corresponding to the latest obesity information, before the latest The difference between the latest weight information and the latest weight information “Latest weight gain”, identify the latest obesity information (that is, identify the same information as “latest obesity for slimming”), “latest obesity for obesity”, minimum of obesity information “Minimum obesity and latest difference” to identify the difference between the latest obesity information for those with the smallest obesity information. This is the “minimum obesity level and latest difference / period” that specifies what is divided by the period from the date information corresponding to the date to the date information corresponding to the latest obesity level information. The expression “latest” used here is to specify that the date information in FIG. 2 is the latest in time. For example, in the example specifically shown in FIG. The one corresponding to is the latest.

  Further, the information corresponding to the item “measurement value information” is measurement value information obtained on the basis of calculation performed according to the measurement item information. Specifically, the non-time-lapse calculation result information in the measurement item information is displayed. Non-temporal calculation result information obtained based on what specifies the criteria to be obtained, or information specifying temporal calculation result information obtained based on what specifies the criteria for obtaining the temporal calculation result information in the measurement item information 3 (in FIG. 3, “−0.2” which is non-temporal calculation result information obtained according to “latest height SD value”, and “0” which is temporal calculation result information obtained according to “maximum height SD value and latest difference”. .8 ").

  The information corresponding to the item “risk level information” is risk level information for identifying a risk level, and specifically, a non-aging risk that can be evaluated based on non-aging calculation result information in measurement value information. This is information for identifying a level or a risk level with time that can be evaluated based on time-lapse calculation result information in the measurement value information. “Risk level” is the degree of risk related to the health status of the subject. Specifically, it is the degree to which the health status has an adverse effect in order to conduct social life. Therefore, it is the degree that the health condition has an adverse effect, and as an example, it is expressed as a numerical level or the like. Specifically, in FIG. 3, two or more of four stages from “0” to “3” (only “0” and “1” are shown in FIG. 3) from a low risk to a high risk. For example, “0” corresponding to “no problem” that does not adversely affect school life, and “coexistence with other factors that may adversely affect school life when coexisting with other factors” “1” corresponding to “problem”, “2” corresponding to “problem” that can adversely affect school life by itself, and “medical institution consultation target” that requires medical institution consultation 3 "is used.

  In addition, the information corresponding to the item “comprehensive evaluation information” is comprehensive evaluation information for specifying the result of comprehensive evaluation of the child's health condition (in FIG. 3, the adverse effects of the health condition on school life have become obvious). Although there is a possibility that it will become apparent in the future, it is necessary to watch carefully. Although not shown in FIG. 3, as shown in FIG. 5 to be described later, the comprehensive evaluation information includes “noticeable” and has no adverse effect on the health of school life. Since there is a high possibility that there is no problem, “no problem” that does not require attention, and the adverse effects of the health condition on school life, it is necessary to analyze the cause as soon as possible. Since there is a very high possibility that adverse effects have become apparent, “analysis required (medical opinion required)” that requires immediate medical examination with a cause analysis is also used.

  A part of the evaluation item information is defined by the administrator of the evaluation apparatus 100 based on medical literature or the knowledge of a specialist, and is performed through an arbitrary method (for example, the operation unit 12). A predetermined operation, a known recording medium such as a flash memory, or a method using communication performed via a network), and other part of the evaluation item information is subjected to a problem finding process described later. It is stored by doing.

(Configuration-Recording section-Risk level standard information DB)
The risk level reference information DB 143 in FIG. 1 is a risk level reference information storage unit that stores risk level reference information. Here, the “risk level standard information” is information for specifying a standard for evaluating the risk level, specifically, information used for evaluating the risk level information of FIG. It is information which specifies the reference | standard about the measured value information of FIG. FIG. 4 is a diagram illustrating risk level reference information. As shown in FIG. 4, the risk level standard information includes items “physical findings information”, item “risk item information”, item “measurement item information”, item “risk level determination criterion information”, and item “risk level information”. ”And information corresponding to each item are associated with each other. The information corresponding to the item “physical findings information”, the information corresponding to the item “risk item information”, the information corresponding to the item “measurement item information”, and the information corresponding to the item “risk level information” are shown in FIG. It is the same as the information corresponding to the item of the same name.

  Here, the information corresponding to the item “risk level determination criterion information” is risk level determination criterion information for specifying a criterion for evaluating the measurement value information in FIG. 3, and specifies a threshold value or a range of the measurement value information. (In FIG. 4, “−2.0 or less” or the like that specifies a criterion that the risk level information of “short stature” as risk item information is “3”). As shown in FIG. 4, for example, the risk level determination reference information and the risk level information are stored for two or more items including “0” among the above-described four numerical levels.

  Such risk level reference information is defined by the administrator of the evaluation apparatus 100 based on the medical literature or the knowledge of a specialist, and is stored by the above-described arbitrary method (the same applies to comprehensive evaluation reference information described later). Is).

(Configuration-Recording section-Comprehensive evaluation criteria information DB)
The comprehensive evaluation criterion information DB 144 in FIG. 1 is a comprehensive evaluation criterion information storage unit that stores comprehensive evaluation criterion information. Here, the “comprehensive evaluation standard information” is information for specifying a standard for comprehensively evaluating a child's health condition, and specifically, information used for evaluating a calculation value for comprehensive evaluation. And it is information which specifies the standard about the calculation value for comprehensive evaluation.

  The “computed value for comprehensive evaluation” is a computed value used for comprehensively evaluating the health condition of the child. Specifically, a predetermined computation is performed based on the risk level information of FIG. Can be sought after. The “predetermined calculation” is a calculation for calculating the calculation value for comprehensive evaluation, and is specifically arbitrary. For example, the calculation is performed by an equation of (Rmax1 + 1) × (Rmax2 + 1) × (Rmax3 + 1). It is an operation. Note that “Rmax1” to “Rmax3” in this arithmetic expression are maximum values of risk level information for each physical finding information in FIG. 3 (hereinafter also referred to as “maximum risk level”), that is, the example of FIG. In “Rmax1”, risk level information “0” (information at the top of the drawing), “1” (information at the second level of the drawing), “0” (the third level of the drawing) where the physical finding information is “growth disorder”. "Rmax2" is the maximum value of the risk level information in which the physical finding information is "slimming" from the fourth level to the seventh level in the drawing. “Rmax2” is “0” which is the maximum value from the eighth to the tenth stages of the risk level information in which the physical finding information is “obesity”. In this case, the calculation value for comprehensive evaluation is (1 + 1) × (0 + 1) × (0 + 1) = 2.

  FIG. 5 is a diagram illustrating the comprehensive evaluation standard information. As shown in FIG. 5, the comprehensive evaluation criterion information is configured by associating an item “total evaluation criterion information”, an item “total evaluation information”, and information corresponding to each item. The information corresponding to the item “total evaluation information” is the same as the information corresponding to the item having the same name in FIG.

  Here, the information corresponding to the item “comprehensive evaluation criterion information” is comprehensive evaluation criterion information that specifies a criterion for evaluating the comprehensive evaluation calculation value, and specifies a threshold value or a range of the comprehensive evaluation calculation value. To do. In FIG. 5, the criterion of “no problem” is specified as the comprehensive evaluation information in consideration of the maximum risk level (that is, the aforementioned Rmax1 to Rmax3) used when calculating the calculation value for comprehensive evaluation. The maximum risk level is not 3 and the comprehensive evaluation calculation value is 1 or less, and the criterion of “attention required” as the comprehensive evaluation information is specified. “The maximum risk level is not 3 and the comprehensive evaluation calculation value Is 2 ”, specifies the criteria for“ analysis required ”as comprehensive evaluation information,“ the maximum risk level is not 3 and the calculation value for comprehensive evaluation is 3 or more ”, and“ analysis required (medical medicine required) as comprehensive evaluation information ” “Maximum risk level of 3” is used to specify the standard of

  And, “the maximum risk level is not 3 and the comprehensive evaluation calculation value is 1 or less” means that there is no “3” in the maximum risk level used in the comprehensive evaluation calculation value, and the calculation The calculated value for comprehensive evaluation is 1 or less. In addition, “the maximum risk level is not 3 and the total evaluation calculation value is 2” is calculated as there is no “3” in the maximum risk level used for the total evaluation calculation value. It is shown that the calculated value for comprehensive evaluation is 2. In addition, “the maximum risk level is not 3 and the calculation value for comprehensive evaluation is 3 or more” does not indicate that the maximum risk level used in the calculation value for comprehensive evaluation is “3” and is calculated. It is shown that the calculated value for comprehensive evaluation is 3 or more. “Maximum risk level of 3” indicates that there is a maximum risk level of “3” used in the calculation value for comprehensive evaluation regardless of the value of the calculated calculation value for comprehensive evaluation. ing.

(Configuration-Recording section-Question item specific information DB)
The question item specifying information DB 145 in FIG. 1 is a question item specifying information storage unit that stores question item specifying information. Here, “question item identification information” is information that identifies items to be asked to respondents in order to analyze the cause of the subject's condition. This is information for specifying an item to be questioned in order to analyze the cause of the abnormality. FIG. 6 is a diagram illustrating question item specifying information. As shown in FIG. 6, the question item specifying information includes an item “factor information”, an item “question large item information”, an item “in-question item information”, an item “physical findings information”, and an item “respondent specifying information”. ”And information corresponding to each item are associated with each other. The information corresponding to the item “physical finding information” is the same as the information corresponding to the item having the same name in FIG.

  Here, the information corresponding to the item “factor information” is factor information for identifying the cause of occurrence. The “occurrence factor” is a factor that may be related to the cause of occurrence of the subject's condition (or may be the cause of occurrence of the subject's condition), and specifically, the subject's condition. Among the plurality of predetermined factors that cause the occurrence of the problem, factors related to matters that can be changed by the subject in order to improve the subject's condition, such as lifestyle factors, disease factors, environmental factors, and genetics described later Excluding genetic factors. The “plurality of predetermined factors” are factors that may be related to the cause of occurrence of the subject's condition, and are, for example, concepts including lifestyle factors, disease factors, environmental factors, genetic factors, and the like. “Lifestyle factors”, “disease factors”, and “environmental factors” are factors related to matters that the subject can change, and in particular, “lifestyle factors” are factors related to the lifestyle of the subject. The “disease factor” is a factor related to the subject's disease, and the “environment factor” is a factor related to the environment in which the subject operates social life. Further, the “genetic factor” is a factor related to matters that cannot be changed by the subject, and is an innate factor determined by inheritance. In FIG. 6, specifically, “lifestyle” that identifies lifestyle factors, “disease” that identifies disease factors, and “life environment” that identifies environmental factors.

  Further, the information corresponding to the item “question large item information” is question large item information for specifying a superordinate concept of the question items related to the factor information (“meal”, etc. in FIG. 6). Further, the information corresponding to the item “in-question item information” is in-question item information that is information for specifying the question item related to the factor information (in FIG. 6, whether the intake of food is large or appropriate) Questions such as “Ingestion”).

  The information corresponding to “respondent identification information” is respondent identification information for identifying the respondent who is the person who should answer the question of the item information in question (that is, the person to whom the question should be asked). is there. The respondent identification information can be classified and determined based on an arbitrary standard. For example, based on the ease of questioning (that is, the attributes of respondents), It is classified into three layers, the layer corresponding to those who are easy to ask), the middle layer (layer corresponding to those who are difficult to ask questions than the shallow layer), and the deep layer (layer corresponding to people who are difficult to ask questions than the middle layer). “Health management officers in educational institutions for children (for example, school nurses)” classified into the middle class, “Supervisors in educational institutions for children (for example, teachers) in the middle class”, etc. Two types of “supervisors outside the educational institutions of children (for example, family members)” classified into the middle class and the deep class are used. In FIG. 6, “medium” that identifies “supervisors within the educational institutions of children (for example, homeroom teachers)” classified as middle class, and “supervision outside the educational institutions of students” classified as deep. “Depth” is used to specify “person (eg family)”.

  Such question item specifying information is defined by the administrator of the evaluation apparatus 100 based on the medical literature or the knowledge of a specialist, etc., and stored by the above-described arbitrary method.

(Configuration-Recording unit-Answer identification information DB)
The answer specifying information DB 146 in FIG. 1 is answer specifying information storage means for storing answer specifying information. Here, “answer specifying information” is information for specifying an answer obtained from the respondent. FIG. 7 is a diagram illustrating the answer specifying information. As shown in FIG. 7, the answer specifying information includes item “identification information”, item “name information”, item “maximum growth disorder risk level information”, item “maximum slime risk level information”, and item “maximum obesity risk level”. The information, the item “total evaluation information”, the item “in-question item information”, the item “answer information”, and information corresponding to each item are associated with each other. Note that the information corresponding to the item “identification information” and the information corresponding to the item “name information” are the same as the information corresponding to the item having the same name in FIG. 2 and the information corresponding to the item “total evaluation information”. Is the same as the information corresponding to the item of the same name in FIG. 3, and the information corresponding to the item “in-question item information” is the same as the information corresponding to the item of the same name in FIG.

  Here, the information corresponding to the item “growth disorder maximum risk level information” is information for specifying the above-mentioned maximum risk level. For example, the growth disorder maximum risk corresponding to the physical observation information of FIG. 3 corresponding to “growth disorder” Level information (that is, Rmax1) ("1" in FIG. 7). Further, the information corresponding to the item “maximum slimming risk level information” is information for specifying the above-mentioned maximum risk level. For example, the slimming maximum risk level information corresponding to the slimming information in FIG. , Rmax2) ("0" in FIG. 7). The information corresponding to the item “maximum obesity risk level information” is information for specifying the above-mentioned maximum risk level. For example, the obesity maximum risk level information corresponding to the body finding information of FIG. , Rmax3) ("0" in FIG. 7).

  In addition, the information corresponding to the item “response information” corresponds to the question item regarding the cause of occurrence of the subject's state and related to the matter that can be changed by the subject in order to improve the subject's state. Answer information for identifying an answer, for example, answer information corresponding to the in-question item information in FIG. 6 (in FIG. 7, selected from answer candidate information in FIG. Such as “low” to identify that the amount is low). Such answer specifying information is stored by any of the above-described methods, or stored in each process described later.

(Configuration-Recording section-Analysis reference information DB)
The analysis reference information DB 147 in FIG. 1 is an analysis reference information storage unit that stores analysis reference information. Here, the “analysis reference information” is information for specifying a standard for analyzing a child's health condition. FIG. 8 is a diagram illustrating the reference information for analysis. As shown in FIG. 8, the reference information for analysis corresponds to the item “in-question item information”, the item “physical finding information”, the item “answer candidate information”, and the item “possibility information on adverse effects”. Information to be associated with each other. Note that the information corresponding to the item “in-question item information” and the information corresponding to the item “physical finding information” are the same as the information corresponding to the item of the same name in FIG.

  Here, the information corresponding to the item “answer candidate information” is answer candidate information for specifying the answer information candidates in FIG. 7 (in FIG. 8, “many” for specifying that the amount of food intake is large, To specify that the amount of food intake is appropriate) Further, the information corresponding to the item “possibility of adverse effects information” is information on the possibility of adverse effects that identifies whether there is a possibility of adverse effects on health (in FIG. 8, there is a possibility of adverse effects). “Yes” and “No” with no possibility of adverse effects). Such reference information for analysis is defined by the administrator of the evaluation apparatus 100 based on medical literature or the knowledge of a specialist, and is stored by an arbitrary method.

(Configuration-control unit)
The control unit 15 in FIG. 1 is a control unit that controls the evaluation apparatus 100. Specifically, the CPU, various programs that are interpreted and executed on the CPU (basic control programs such as an OS, and startup on the OS) And an internal memory such as a RAM for storing programs and various types of data. In particular, the control program according to the embodiment substantially configures each part of the evaluation male ground 100 by being installed in the evaluation apparatus 100 via an arbitrary recording medium or network.

  The control unit 15 includes a calculation unit 151, an evaluation unit 152, a state output unit 153, a reception unit 154, an analysis unit 155, an occurrence cause output unit 156, and a guide unit 157 in terms of functional concept. Based on the physical information that is the evaluation information stored in the physical management information DB 141, the calculation unit 151 includes non-temporal calculation result information that does not identify changes over time in the evaluation information, and the evaluation information over time. It is a calculation means for calculating time-dependent calculation result information for specifying a change. The evaluation unit 152 is an evaluation unit that evaluates the state of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation unit 151. The state output unit 153 is a state output unit that outputs the state of the subject evaluated by the evaluation unit 152. Also, the receiving unit 154 is a receiving unit that receives answer information for a question item regarding a generation factor that causes a state of the subject and can be changed by the subject in order to improve the state of the subject. It is. The analysis unit 155 is an analysis unit that analyzes the cause of the occurrence of the subject's condition based on the answer information received by the reception unit 154. The generation cause output unit 156 is a generation cause output unit that outputs the generation cause analyzed by the analysis unit 155. The guide unit 157 is a guide unit that guides what the respondent should answer from among a plurality of question items based on the attributes of the respondent. The processing performed by each unit of the control unit 15 will be described later.

(processing)
Next, processing executed by the evaluation apparatus 100 configured as described above will be described. Specifically, problem finding processing, guidance processing, and cause analysis processing will be described.

(Processing-Problem discovery processing)
FIG. 9 is a flowchart of the problem finding process (in the following description of each process, step is abbreviated as “S”). The “problem finding process” is a process for evaluating the condition of the subject, and specifically, a process for finding an abnormality in the health condition of the child. The timing for executing the “problem finding process” is arbitrary. For example, the user can input the name information, date information, age information, height information, weight information, and standard weight information in FIG. Input and stored (at the time of this storage, the identification information is stored by the control unit 15 so as to be unique), and is activated and executed when a problem discovery process start button (not shown) is pressed. This is explained from the point where the problem finding process is started. In particular, for this process, some children can be selected and processed, or all children stored in FIG. 2 can be processed. In particular, the processing when the child whose name information is “AA AA” and the child whose name information is “AA AB” is selected will be described as an example.

  First, as shown in FIG. 9, in SA1, the calculation unit 151 stores a part of the physical management information calculation information in FIG. Although a specific method is arbitrary, for example, information that is not stored before starting the problem finding process in FIG. 2 is stored. Specifically, based on the height information corresponding to the identification information that is the processing target stored in FIG. 2, the height SD value information, the growth rate information, and the growth rate SD value information are defined according to the definition of each information described above. Based on the weight information and the standard weight information (arbitrary) corresponding to the identification information that is the processing target stored in FIG. The change information, the weight SD value information, and the obesity level information are calculated and the calculation result is stored. Based on the stored obesity level information, the obesity level determination information is obtained according to the definition of the above-described obesity level determination information. Store. Here, for example, for the child with the identification information “ID1” in FIG. 2 that is the child of “AA AA”, the information illustrated based on the height information and the weight information associated with “ID1”, etc. In particular, for items that cannot be calculated due to lack of information according to the definition of each information (for example, “growth rate information” with date information “201110410”, etc.), “-” is stored. To do. Also, for example, the same processing is performed for the children of “AA AB” (the same processing as that for the children of “AA AA” is performed for the children of “AA AB” in SA2 to SA5 described later). .

  Returning to FIG. 9, in SA2, the calculation unit 151 identifies the measurement value information of FIG. Although the specific method is arbitrary, for example, each piece of information associated with the identification information that is the processing target in FIG. 2 is acquired, and each piece of acquired information is used as a reference for the measurement item information in FIG. The measurement value information is specified by applying and performing calculations. Here, for example, for the child “AA AA”, after acquiring each piece of information associated with “ID1” which is the identification information in FIG. Applied to “SD value”, “Growth rate SD value average (latest one year)”, etc., by performing calculations etc., specifying “−0.2”, “−2.1”, etc. These pieces of information are stored as indicated by the measurement value information in FIG.

  Returning to FIG. 9, in SA3, the evaluation unit 152 evaluates the risk level. Although a specific method is arbitrary, for example, the evaluation item information (particularly measurement value information) in FIG. 3 and the risk level reference information (particularly risk level determination reference information, risk level information) in FIG. Judgment based on.

  Specifically, first, one piece of measurement value information is acquired in FIG. 3, and risk level determination reference information corresponding to the one piece of acquired measurement value information is acquired in FIG. The information corresponding to one measurement value information acquired in the reference information is specified, and the risk level information corresponding to the specified risk level determination reference information in FIG. Obtained (evaluated) as information and stored in FIG. Then, these processes are performed on all measured value information in FIG.

  Here, for example, for a child of “AA AA”, first, “−0.2” at the top of the drawing is acquired as one piece of measurement value information in FIG. 3, and the acquired 1 in FIG. As the risk level criterion information corresponding to one piece of measurement value information, “−2.0 or less”, “greater than −2.0 to −1.8 or less”, and “−1.8” in the top to third stages of the drawing. Is greater than “-1.8”, and “is greater than −1.8” is identified as one of the measured value information acquired in the acquired risk level determination criterion information, and the identified risk level determination criterion in FIG. “0” is acquired as risk level information corresponding to the information, and is acquired (evaluated) as risk level information for the one acquired measurement value information, and “0” is stored as the risk level information of FIG. Then, these processes are performed on all measured value information in FIG. Then, these processes are performed on all the measurement value information in FIG. 3, and “1”, “0”,... Are stored as the risk level information in FIG.

  Returning to FIG. 9, in SA4, the evaluation unit 152 calculates a comprehensive evaluation calculation value. Although a specific method is arbitrary, for example, Rmax1 to Rmax3 are specified based on the processing result of SA3, and (Rmax1 + 1) × ( Rmax2 + 1) × (Rmax3 + 1) is used for calculation. Here, for example, as described above, since Rmax1 = 1, Rmax2 = 0, and Rmax3 = 0 in FIG. 3, the calculation value for comprehensive evaluation is (1 + 1) × (0 + 1) × (0 + 1) = 2 is calculated.

  Returning to FIG. 9, in SA5, the evaluation unit 152 comprehensively evaluates the health condition of the child. Although a specific method is arbitrary, for example, the evaluation is performed based on the calculation value for comprehensive evaluation calculated in SA4 and the comprehensive evaluation reference information in FIG.

  Specifically, first, the comprehensive evaluation calculation value calculated in SA4 and the maximum risk level used in the calculation of the comprehensive evaluation calculation value are acquired, and the comprehensive evaluation criterion information of the comprehensive evaluation criterion information in FIG. Acquire the comprehensive evaluation information obtained in the acquired comprehensive evaluation criteria information and the value corresponding to the maximum risk level, and the comprehensive evaluation information corresponding to the specified comprehensive evaluation criteria information in FIG. Stored as comprehensive evaluation information in FIG.

  Here, for example, first, “2” is acquired as the calculation value for comprehensive evaluation calculated in SA4, and Rmax1 = 1, Rmax2 = 0, Rmax3 as the maximum risk level used in the calculation of the calculation value for comprehensive evaluation. = 0, and the comprehensive evaluation criterion information of the comprehensive evaluation criterion information in FIG. 5 is acquired as “the maximum risk level is not 3 and the comprehensive evaluation calculation value is 1 or less”, etc. As a result of the comprehensive evaluation calculation value acquired in the evaluation criterion information, “the maximum risk level is not 3 and the comprehensive evaluation calculation value is 2” is specified, and the specified comprehensive evaluation determination in FIG. As a comprehensive evaluation information corresponding to the reference information, “Caution required” is used. As a comprehensive evaluation of the health status of the child “ID1” as a processing target, To store.

  Returning to FIG. 9, in SA6, the state output unit 153 outputs information. Although a specific method is arbitrary, for example, at least the evaluation result in SA5 for the child to be processed is output. Specifically, the personal sheet information is output as an image via the display unit 13. .

  Here, “individual sheet information” specifies the health condition of the child, and specifically specifies the evaluation result in SA5 for at least the child to be processed. FIG. 10 is a display example of personal sheet information. In addition, since the display mode of personal sheet information is arbitrary and a known display mode can be applied, specific illustrations (particularly graphs and the like) are simplified for convenience of description.

  As shown in FIG. 10, “personal sheet information” is information that can be switched and displayed by tabs T1 and T2, and includes a personal information display area A11, a height-weight growth curve display area A12, and a growth rate curve display area A13. , An obesity curve area A14, a physical management information display area A15, and an evaluation result display area A16.

  Tabs T1 and T2 are switching means for switching personal sheet information to be displayed. Specifically, tabs T1 and T2 are associated with each child to be processed and correspond to the evaluation result of SA5 in FIG. For example, a tab T1 associated with a child “AA AA” and a tab T2 associated with a child “AA AB” are illustrated. And about this tab T1, T2, the status information output part 153 acquires the name information of the child used as a process target in FIG. 2, acquires the evaluation result of SA5, and acquired each name information Tabs T1 and T2 corresponding to, and the generated tabs T1 and T2 according to the obtained evaluation result (for example, a default color (white or the like) in the case of “no problem”), In case of “Needs attention”, it is displayed in yellow, and in case of “Needs analysis” or “Needs analysis (medical opinion required)”, it is displayed in red or pink. Here, for example, as described above, the evaluation result of SA5 for a child of “AA AA” is “Needs Attention”, and the evaluation result of SA5 for a child of “AA AB” is “no problem” The tab T1 is displayed in yellow, and the tab T2 is displayed in a default color.

  The personal information display area A11 is an area for displaying the child's personal information, and displays, for example, the aforementioned name information, gender information for specifying the child's gender, and attendance number specifying information for specifying the child's attendance number. It is an area. And about the information of this personal information display area A11, the state output part 153 acquires name information of FIG. 2, and sex from arbitrary recording apparatuses (For example, the school support apparatus etc. which store the information of a child) Information and attendance number identification information is acquired and displayed.

  The height-weight growth curve display area A12 is an area for displaying information on the height and weight of the child, for example, an area for displaying the height information and the weight information in a graph format. And about the height weight growth curve display area A12, the state output part 153 acquires the height information and weight information of FIG. 2, and graphs and displays the acquired information so that a change with time may be shown. Here, any other information (for example, statistical values such as standard height, standard weight, or standard deviation) other than this information may be displayed superimposed on the graph (growth rate curve display). The same applies to the information in the area A13).

  The growth rate curve display region A13 is a region for displaying information on the growth rate of the child, for example, a region for displaying the growth rate in a graph format. For the growth rate curve display area A13, the state output unit 153 acquires the growth rate information of FIG. 2 and displays the acquired information in a graph so that changes over time are shown.

  The obesity level curve area A14 is an area for displaying information on the obesity level of the child, for example, an area for displaying the obesity level in a graph format. And about the obesity degree curve area | region A14, the state output part 153 acquires the obesity degree information of FIG. 2, and graphs and displays the acquired information so that a change with time may be shown.

  The physical management information display area A15 is an area for displaying the physical management information of the child, for example, an area for displaying each piece of information in FIG. 2 in a table format. For the physical management information display area A15, the state output unit 153 acquires each piece of information in FIG. 2 and displays the acquired information in a table.

  The evaluation result display area A16 is an area for displaying information on evaluation results of the health condition of the child, and specifically, an area for displaying at least a comprehensive evaluation result of the health condition of the child. FIG. 11 is a display example of the evaluation result display area. As shown in FIG. 11, the evaluation result display area A16 in FIG. 10 includes a risk level result display area A161 and a comprehensive evaluation result display area A162 in FIG.

  The risk level result display area A161 is an area for displaying information on the risk level of the child, for example, an area for displaying the measurement value information and the risk level information of FIG. Regarding the risk level result display area A161, the state output unit 153 acquires the physical finding information, risk item information, measurement item information, measurement value information, and risk level of FIG. 3, and each acquired information is shown in FIG. In the same manner, it is displayed in the physical observation column, the measurement item column, the measurement value column, and the risk level column. For the display in each column illustrated in FIG. 11, some information (for example, “height” in the physical observation column in FIG. 11 corresponds to “growth disorder” in FIG. Except that “Shortness (1)” and “Shortness (2)” in the 11 risk items column correspond to “Short” and “Low growth rate” in FIG. The information is displayed with the same name as the corresponding information in FIG. In particular, with regard to the risk level column, from the viewpoint of improving the recognition of being abnormal, for example, a color corresponding to the display content (for example, a default color (black or the like) for the risk level “0”), a risk level “1” ”, Blue for risk level“ 2 ”or“ 3 ”, etc.). Here, for example, after obtaining physical finding information, risk item information, measurement item information, measurement value information, and risk level corresponding to “ID1” in FIG. 3, information on the risk level result display area A161 in FIG. 11 is acquired. Is displayed. In particular, “0” in the risk level column is displayed in a default color, and “1” is displayed in blue.

  The comprehensive evaluation result display area A162 is an area for displaying information on the evaluation result of the health condition of the child. For example, “Rmax1” to “Rmax3” used in the calculation of SA4 in FIG. 9 and the comprehensive evaluation in FIG. This is an area for displaying information (that is, comprehensive evaluation information stored in SA5 of FIG. 9). For the comprehensive evaluation result display area A162, the state output unit 153 acquires “Rmax1” to “Rmax3” used in the calculation of SA4 in FIG. 9, and the acquired “Rmax1” to “Rmax3” are as shown in FIG. Are displayed in the column for short stature, the column for slimming tendency, the column for obesity tendency, and the comprehensive evaluation information of FIG. 3 is acquired, and the acquired comprehensive evaluation information is displayed in the column for comprehensive evaluation as shown in FIG. indicate. In particular, from the viewpoint of improving the cognition of being abnormal, for example, the color corresponding to the display content (for example, the column for the short stature, the column for the slimming tendency, the column for the obesity trend, This is the same as the risk level information in the risk level result display area A161, and in the comprehensive evaluation column, the default color (black, etc.) corresponding to “no problem”, blue for “caution”, “necessary” "Analysis" or red corresponding to "analysis required (medical opinion required)"). Here, for example, “1”, “0”, “0” are acquired as “Rmax1” to “Rmax3”, and “attention required” is acquired as comprehensive evaluation information. In FIG. Displayed in blue, “0” is displayed in black, and “Caution required” is displayed in blue. Then, by visually recognizing and confirming the overall evaluation column in FIG. 11, it is recognized that there is a problem in the case of “Need attention” other than “No problem”, and the problem in the child's health condition is recognized. It becomes possible to confirm immediately.

  Here, for the guidance process and the cause analysis process to be performed later, the status output unit 153 includes the identification information, name information, growth failure maximum risk level information, maximum slimming risk level among the response specifying information in FIG. Information, obesity maximum risk level information, and comprehensive evaluation information are stored. Specifically, identification information and name information of a child to be processed are acquired and stored from FIG. 2, and Rmax1 to Rmax3 specified for use in the calculation of SA4 are acquired to obtain each maximum risk level. It is stored as information, and comprehensive evaluation information evaluated at SA5 is acquired and stored. Here, for example, information at the top of the drawing in FIG. 7 is stored. This completes the problem finding process.

(Processing-Guidance processing)
FIG. 12 is a flowchart of the guidance process. “Guidance process” is a process for analyzing the condition of the target person. Specifically, in order to analyze the health condition of the child, it is a process for guiding the respondents to ask questions. is there. The timing of executing this “guidance process” is arbitrary, but for example, the guidance process is activated when the child to be processed is designated and activated when a guidance process start button (not shown) is pressed. It explains from the place where it was done.

  First, as shown in FIG. 12, in SB1, the guide unit 157 acquires respondent identification information. Although a specific method is arbitrary, for example, the user can select “supervisor (for example, homeroom teacher etc.) within a child's educational institution” or “children” as respondent identification information via the operation unit 12 of FIG. The supervisor outside the educational institution (for example, family) is selectively input, and the input is received and acquired. Here, for example, when the user inputs “supervisor (for example, homeroom teacher etc.) within a child's educational institution”, this input is accepted and acquired.

  Returning to FIG. 12, in SB <b> 2, the guide unit 157 specifies physical finding information. Although the specific method is arbitrary, for example, when the risk level information in FIG. 3 is 1 or more, paying attention to the fact that there is a possibility that the health condition of the child may be affected, FIG. The physical finding information corresponding to the risk level information that is not 0 (that is, 1 or more) is specified by referring to the information. Here, for example, since the risk level information at the second level in FIG. 3 is “1”, “growth disorder” that is physical finding information corresponding to the information is specified.

  Returning to FIG. 12, in SB3, the guidance unit 157 determines the item information being asked to ask a question to the respondent. Although the specific method is arbitrary, for example, the respondent specifying information acquired in SB1 and the physical finding information specified in SB2 are acquired, and referring to FIG. In addition, the in-question item information corresponding to the acquired physical finding information is determined as the in-question item information to be asked to the respondent. Here, for example, the respondent identification information acquired at SB1 “supervisor within the child's educational institution (for example, homeroom teacher)” and the physical observation information “growth disorder” specified at SB2 are acquired. Referring to FIG. 6, this corresponds to “medium” corresponding to the acquired “supervisor (for example, homeroom teacher) of the child's educational institution”, and corresponds to the acquired “growth disorder”. The “intake amount”, which is the item information in question to be asked, is determined as the item information in question to be asked to the respondent.

  Returning to FIG. 12, in SB4, the guide unit 157 outputs information. Although a specific method is arbitrary, for example, at least a question item corresponding to the in-question item information determined in SB3 is output through the display unit 13. Here, for example, analysis support table information is output. To do. Here, the “analysis support table information” is information for providing support for analyzing the state of the target person. FIG. 13 is a display example of analysis support table information. As shown in FIG. 13, the analysis support table information includes a personal evaluation column, a lifestyle related question column, a disease related question column, a living environment related question column, a future policy column, and a subject column. Is provided.

  The personal evaluation column is a column for displaying information on the health condition of each child, and specifically, a column for displaying a part of the information in FIG.

  The lifestyle related question column is a column for displaying the question content and the answer received for the question. Specifically, the item information in question of “factor information” = “lifestyle” in FIG. And a column for displaying an answer received for the information. The column of disease-related questions is a column for displaying the contents of the question and the answer received for the question. Specifically, the item information in question of “factor information” = “disease” in FIG. This is a field for displaying an answer received for information. Further, the column for the living environment related question is a column for displaying the question content and the answer received for the question. Specifically, the item information in question of “factor information” = “living environment” in FIG. And a column for displaying an answer received for the information.

  The future policy column is a column that displays measures for the child's health condition, and more specifically, a column that displays actions to be taken to improve the health condition. The column of the subject is a column that displays measures for the health condition of the child, and more specifically, a column that displays information that identifies the subject related to the aforementioned behavior.

  First, the name information, growth failure maximum risk level information, slimming maximum risk level information, obesity maximum risk level information, and comprehensive evaluation information in FIG. 7 are acquired, and the acquired information is stored in the individual evaluation column of FIG. In the name information column, growth disorder column, slimming column, obesity column, and comprehensive evaluation column. Next, the in-question item information corresponding to “factor information =“ lifestyle ”in FIG. 6 is acquired, and the acquired information is displayed in the second row from the top of the drawing in the column of lifestyle related questions in FIG. Similarly, the corresponding information is also displayed in the disease related question column and the living environment column in FIG. In addition, based on the countermeasure table information described later, the information on the second row from the drawing of the future policy column and the subject column is displayed (that is, for example, access to home, meal improvement, homeroom, etc. are displayed). To do).

  Here, by using the information shown in FIG. 13, by masking information other than the question items for which the answer is to be obtained, in order to guide that the answer is obtained only for the question item in the question item information determined in SB3 ( That is, by making the question item of the item information in question determined in SB3 conspicuous, the question item to be answered is guided. Here, for example, regarding “intake amount” and “meal speed” specifically described in FIG. 13, since it is determined in SB3 that “intake amount” should be asked to the respondent, “meal speed” Mask the field. For example, the user can obtain and input an answer to the question by printing out the information shown in FIG. 13 and asking the respondent on paper. . In particular, regarding the answers to be specifically obtained, considering the contents corresponding to the answer candidate information of FIG. 8, for example, the answers were obtained by asking questions in a selection format selected from each answer candidate information In the above, by selecting and inputting the answer column corresponding to the question in FIG. 13 (for example, the column displaying “low” for the “intake” question) via the operation unit 12, An answer is input and displayed on the evaluation apparatus 100, and thereafter, the input answer and a question item with respect to the answer are stored as answer information and in-question item information in FIG. In addition, in order to ensure that the content corresponding to the answer candidate information in FIG. 8 is input also on the evaluation apparatus 100 side, when the answer column corresponding to the question in FIG. 13 is selected, the answer candidate information in FIG. Is displayed, and it is configured to be input by the user selecting from the displayed ones. Here, for example, “small” in FIG. 13 is input and displayed in the evaluation apparatus 100, and thereafter “in-question item information” = “intake amount” and “answer information” = “low” in FIG. Stored. This completes the guidance process.

(Processing-cause analysis processing)
FIG. 14 is a flowchart of the cause analysis process. The “cause analysis process” is a process for analyzing the condition of the subject, and specifically, a process for analyzing the health condition of the child. The timing for executing the “cause analysis process” is arbitrary. For example, an answer to a question item guided in the guidance process is obtained, and the obtained answer is input by a predetermined operation performed via the operation unit 12. After each information of the answer specifying information in FIG. 7 is stored (that is, after the information selected from the answer candidate information in FIG. 8 is associated with the in-question item information of the information and stored in FIG. 7) ) Will be described from the time when the analysis processing is started, assuming that the processing is started and executed when an analysis processing start button (not shown) is pressed.

  First, as shown in FIG. 14, in SC1, the accepting unit 154 accepts answer information. Although a specific method is arbitrary, for example, referring to FIG. 7, first, growth disorder maximum risk level information, slimming maximum risk level information, obesity maximum risk level information corresponding to the child being processed, Acquires and accepts item information in question and answer information. Here, for example, “1”, “0”, “0” as each maximum risk level information of FIG. 7, “intake” as question item information, and “small” as “answer information” are acquired. To do.

  Returning to FIG. 14, in SC2, the analysis unit 155 analyzes the cause of the child's health condition.

  Although a specific method is arbitrary, for example, after acquiring each information received in SC1, referring to the reference information for analysis in FIG. 8, information on the possibility of adverse effects corresponding to each acquired information (that is, 8 is identified, and the cause of the occurrence of the child's health condition is analyzed. More specifically, the growth disorder maximum risk level information (that is, information corresponding to “physical findings information” = “growth disorder”) and slimming maximum risk level information (that is, “physical findings information” = “slimming” in FIG. 7). ) And obesity maximum risk level information (that is, information corresponding to “physical findings information” = “obesity”), one item of “1” or more, and item information and answer information in question In the above, referring to FIG. 8, information on the possibility of adverse effects corresponding to this combination is specified, and analysis is performed based on the specified result. Specifically, when the specified adverse effect information is “Yes”, the decision is made based on the matter corresponding to the in-question item information corresponding to the “Yes”. Is “none”, it is determined that there is a low possibility that the matter corresponds to the in-question item information corresponding to the “none”. Then, the same processing is performed for all the maximum risk level information of “1” or more, the in-question item information, and the answer information.

  Here, for example, in FIG. 7, since “1” or more of each maximum risk level information is growth failure maximum risk level information, the growth failure maximum risk level information (that is, “physical findings information” = “ ”Growth disorder”) and “Question item information” = “Intake amount” and “Response information” = “Low”, and referring to FIG. "Ingestion", "physical findings information" = "growth disorder", and "answer candidate information" = "possibility of adverse effects information" corresponding to "low" = "Yes", and low intake Are determined (analyzed) to be at least one of the causes of abnormal growth disorders. Note that, as shown in FIG. 6, the amount of food intake exemplified here is associated with “physical findings information” = “growth disorder”, “slimming”, and “obesity”, so the processing here Then, there is a possibility that “Yes” and “No” may be mixed as potential adverse effect information to be specified. In such a case, the cause can be specified by any method (for example, logical operation). Whether or not to do so may be determined. Here, for example, from the viewpoint of broadly grasping the cause of the abnormal health condition of the child, “possibility of adverse effect information” = “Yes” is true and “possibility of adverse effect information” = “No” is false. When the sum is calculated and the calculated logical sum is true, the cause of the abnormality is specified.

  Returning to FIG. 14, in SC <b> 3, the analysis unit 155 determines a policy of measures for the health condition of the child.

  Although a specific method is arbitrary, for example, it is assumed that countermeasure table information (not shown) is recorded in the recording unit 14 in advance, and is determined based on the countermeasure table information and the analysis result in SC2. And Here, the “measure table information” is information used as a standard for determining measures for the health condition of the child. For example, the action information and the subject information, the question item information and the physical findings in FIG. Information is associated with each other. Note that “behavior information” is information that identifies actions to be taken to improve health conditions, such as access to the home, diet improvement, exercise improvement, sleep improvement, school environment improvement, home environment improvement, It is a concept that includes medical institution visits, follow-up observations, no problems (no special action is required). In addition, “subject information” is information that identifies the subject related to the behavior information. For example, homeroom teacher, grade chief, principal / principal, school nurse, family doctor, specialist, education counselor, schoolchild childcare / It is a concept that includes civilian personnel, families, etc.

  Specifically, in SC3, a combination of the in-question item information and the physical finding information corresponding to the information specified as “possible adverse effect information” = “present” in SC2 is acquired, and countermeasure table information (not shown) is obtained. Referring to the policy that identifies the behavior information and subject information associated with the acquired combination of information and performs the behavior corresponding to the identified behavior information in relation to the subject corresponding to the identified subject information. decide. Here, for example, a combination of “in-question item information” = “intake amount” and “physical findings information” = “growth disorder” in FIG. 8 is acquired. As an example, “behavior information” = “meal improvement”, And "subject information" = "homeroom teacher", "family" is identified, and the policy of measures that the increase in the amount of meal as meal improvement should be done with the homeroom teacher of the school and the family at home is decided To do.

  Returning to FIG. 14, the occurrence cause output unit 156 outputs information in SC <b> 4. Although a specific method is arbitrary, for example, the processing support information of SC2 and SC3 is reflected in the analysis support table information of FIG. In detail, first, the display mode of the answer to the item information in the question identified as having “possible” adverse effect information in SC2 is changed (in this case, red display for the default black color, etc.), and the child's health The analysis result of the cause of the state is displayed, and the corresponding item in the column corresponding to the action information identified in SC3 (the column of future policy in FIG. 13) is marked with a circle. The corresponding items in the column corresponding to the subject information identified in the above (the future subject column in FIG. 13) are circled and displayed. Here, for example, as shown in FIG. 13, “small” in the third row from the top is changed to a red display, and a meal improvement item, a homeroom item, and a family item are marked with a circle. Display output. With this configuration, it is possible to objectively grasp the cause of the health condition of each child and future policies by visually recognizing the information in FIG. This completes the cause analysis process.

(Effect of embodiment)
As described above, according to the present embodiment, non-temporal calculation result information and temporal calculation result information are calculated based on the evaluation information, and the state of the subject is calculated based on the calculated non-temporal calculation result information and temporal calculation result information. For example, since the state of the target can be evaluated without performing the evaluation work by the specialist, the evaluation work by the specialist can be omitted, and the state of the subject can be quickly evaluated. it can. Further, for example, since there is no room for the specialist's subjectivity to be included in the evaluation of the state of the subject, the state of the subject can be evaluated objectively. In addition, for example, evaluation can be performed using two types of information, that is, non-time-lapse calculation result information and time-lapse calculation result information. For example, the outline is evaluated and the details are evaluated by the time-lapse calculation result information).

  Also, by storing at least physical information that identifies at least one of the height or weight of the subject as evaluation information, and evaluating the health status of the subject based on the non-aging risk level and the aging risk level, for example, a school Because it is possible to effectively use the results of physical measurements performed periodically at, it is possible to evaluate the health status of each subject using regular information for a certain period of time. Can be evaluated with higher accuracy. In addition, for example, because the risk related to the health status of the subject can be taken into account, it is possible to reliably evaluate the health status in question for the subject and prevent delays in grasping the health status in question. can do.

  In addition, the non-aging risk level and the aging risk level are evaluated for each of a plurality of categories related to the subject's health status, and the maximum risk level where the degree of risk related to the subject's health status is maximum is evaluated for each of the plurality of categories By evaluating the health status of the target person based on the maximum risk level for each of the evaluated multiple categories, for example, consciously evaluating a plurality of categories related to the health status (for example, growth disorder, slimming, obesity, etc.) Therefore, it is possible to appropriately evaluate the health condition of the subject.

  Further, by analyzing the cause of the occurrence of the subject's state based on the answer information, for example, the cause of the occurrence can be grasped, so that measures for improving the subject's state can be taken.

  In addition, based on the respondent's attributes, it is possible to appropriately answer questions to the respondent, for example, by guiding the respondents of the multiple question items to be answered. Information can be acquired efficiently.

[Modifications to Embodiment]
Although the embodiments of the present invention have been described above, the specific configuration and means of the present invention can be arbitrarily modified and improved within the scope of the technical idea of each invention described in the claims. Can do. Hereinafter, such a modification will be described.

(About problems to be solved and effects of the invention)
First, the problems to be solved by the invention and the effects of the invention are not limited to the above contents, and may vary depending on the implementation environment and the details of the configuration of the invention. May be solved, or only some of the effects described above may be achieved.

(About distribution and integration)
The above-described configuration is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific forms of distribution and integration of the respective units are not limited to those shown in the drawings, and all or a part thereof can be configured to be functionally or physically distributed or integrated in arbitrary units. The “system” in the present application is not limited to one configured by a plurality of devices, but includes one configured by a single device. In addition, the “apparatus” in the present application is not limited to one configured by a single apparatus, but includes one configured by a plurality of apparatuses.

  Further, for example, the information of each DB of the embodiment may be distributed or integrated. For example, at least one of name information, date information, age information, height information, weight information, or standard weight information in FIG. Is stored together with the identification information in an arbitrary recording device (for example, a school support device that stores child information), and the information is omitted in FIG. You may comprise so that it may be used.

(About definition of calculation value for comprehensive evaluation)
In the above-described embodiment, the calculation value for comprehensive evaluation is defined as a value calculated using the calculation formula of (Rmax1 + 1) × (Rmax2 + 1) × (Rmax3 + 1). However, any calculation other than this calculation formula is used. You may define using a formula. For example, each term may be defined to be calculated by weighting, or calculation using the risk level information of FIG. 3 directly without dividing into the categories of Rmax1 to Rmax3 in this way. It may be defined as calculated by an expression.

(About analysis)
14 may be analyzed using a method different from the method described in the embodiment, using each piece of information received in SC1. For example, it is assumed that information that associates information that can be received by SC1 with a causal event is stored, and the cause information is identified based on the stored information and each information acquired in SC1. May be analyzed.

(About display information)
In addition, in FIG. 10 and FIG. 13 of the above embodiment, arbitrary information other than the exemplified information may be displayed. For example, in FIG. 10, based on the information for mother and child hands, etc., past history information (for example, asthma, attracting, rheumatic fever, heart disease, Kawasaki disease, etc.) and allergic disease information may be displayed. In addition, for example, in FIG. 13, as information to be connected to improvement, information such as family awareness, crisis awareness, educational motivation, school relations, or school awareness, crisis awareness, and failure information are input. In addition, display may be possible. In addition, about this FIG. 13, you may comprise not only selecting and answering from a candidate but being able to input a reply freely.
(About priority)
Moreover, after setting priorities in the question item information of FIG. 6 of the above embodiment according to arbitrary criteria (for example, priority is given to those that greatly affect the health condition), each item of FIG. About a question, you may comprise so that a display position (For example, a higher priority will display on the left side of a drawing etc.) based on a priority, and it displays on the specified display position.

(About information output)
In the above-described embodiment, the case where information is output as an image has been described. However, the present invention is not limited to this, and the information may be output as audio, communication, or printed.

(About features)
Further, the features of the embodiment and the features of the modification may be arbitrarily combined.

(Appendix)
The evaluation system of Supplementary Note 1 is an evaluation system that evaluates the state of a subject, and is evaluation information used to evaluate the state of the subject, and the evaluation associated with the subject Evaluation information storage means for storing information for evaluation, non-time-lapse calculation result information that does not specify a change with time of the evaluation information based on the evaluation information stored in the evaluation information storage means, Based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means, the calculation means for calculating the temporal calculation result information for specifying the temporal change of the evaluation information, Evaluation means for evaluating the state; and state output means for outputting the state of the subject evaluated by the evaluation means.

  The evaluation system according to Supplementary Note 2 is the evaluation system according to Supplementary Note 1, wherein the evaluation system is a system for evaluating the health condition of the subject, and the information storage for evaluation is at least the height or weight of the subject. Body information specifying at least one of the information is stored as the evaluation information, and the evaluation unit is configured to determine the health of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation unit. A non-temporal risk level that is a degree of risk related to the condition, and can be evaluated based on the non-temporal calculation result information, and a temporal risk level that is a degree of risk related to the health condition of the subject. The non-aging risk level that can be evaluated based on the time-lapse calculation result information is evaluated, and the evaluated non-aging risk level is evaluated. Based on the Le and the time risk level, the health of the subject, to assess the state of the subject.

  The evaluation system according to supplementary note 3 is the evaluation system according to supplementary note 2, in which the calculation means is configured for each of a plurality of categories related to the health condition of the subject based on the physical information stored in the evaluation information storage means. The non-time-lapse calculation result information and the time-lapse calculation result information are calculated, and the evaluation means is based on the non-time-lapse calculation result information and the time-lapse calculation result information for each of the plurality of categories calculated by the calculation means. The non-aging risk level and the aging risk level are evaluated for each of the plurality of categories, and the maximum risk level at which the degree of risk relating to the health condition of the subject person is maximum is evaluated and evaluated for each of the plurality of categories. Based on the maximum risk level for each of the plurality of categories, the health status of the subject is evaluated as the status of the subject.

  The evaluation system according to supplementary note 4 is the evaluation system according to any one of supplementary notes 1 to 3, wherein the target is a generation factor that causes the state of the subject to be improved and the subject to improve the state of the subject. Receiving means for receiving answer information for a question item regarding the occurrence factor related to a matter that the person can change, and analyzing the cause of occurrence of the state of the target person based on the answer information received by the receiving means An analysis means; and an occurrence cause output means for outputting the occurrence cause analyzed by the analysis means.

  The evaluation system according to appendix 5 is the evaluation system according to appendix 4, wherein there are a plurality of the question items, and guides what the respondent should answer from among the question items based on the attributes of the respondents Guiding means.

  The evaluation program of Supplementary Note 6 is an evaluation program for evaluating the state of the subject, and is information for evaluation used to evaluate the state of the subject, and is associated with the subject. Non-temporal calculation result information that does not specify a change with time of the evaluation information based on the evaluation information stored in the evaluation information storage means that stores the evaluation information, and the evaluation information Calculation means for calculating temporal calculation result information for specifying a change over time, and evaluation for evaluating the state of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means And a state output unit that outputs at least the state of the subject evaluated by the evaluation unit.

(Additional effects)
According to the evaluation system according to attachment 1, the non-time-lapse calculation result information and the time-lapse calculation result information are calculated based on the evaluation information, and the state of the subject is calculated based on the calculated non-time-lapse calculation result information and the time-lapse calculation result information. For example, since the state of the target can be evaluated without performing the evaluation work by the specialist, the evaluation work by the specialist can be omitted, and the state of the subject can be quickly evaluated. it can. Further, for example, since there is no room for the specialist's subjectivity to be included in the evaluation of the state of the subject, the state of the subject can be evaluated objectively. In addition, for example, evaluation can be performed using two types of information, that is, non-time-lapse calculation result information and time-lapse calculation result information. For example, the outline is evaluated and the details are evaluated by the time-lapse calculation result information).

  According to the evaluation system described in appendix 2, at least physical information specifying at least one of the height and weight of the subject is stored as evaluation information, and the health status of the subject based on the non-aging risk level and the aging risk level For example, it is possible to effectively use the results of physical measurements performed regularly at school, so the health status is evaluated using periodic information for each subject for a certain period of time. And the health condition of the subject can be evaluated with higher accuracy. In addition, for example, because the risk related to the health status of the subject can be taken into account, it is possible to reliably evaluate the health status in question for the subject and prevent delays in grasping the health status in question. can do.

  According to the evaluation system described in Appendix 3, the maximum risk level at which the risk level related to the subject's health state is maximized by evaluating the non-time-lapse risk level and the time-dependent risk level for each of the plurality of categories related to the subject's health state. Is evaluated for each of a plurality of categories, and the health status of the subject is evaluated based on the maximum risk level for each of the evaluated categories, for example, a plurality of categories related to the health status (for example, growth disorder, slimming, obesity) Etc.), the health condition of the subject can be appropriately evaluated.

  According to the evaluation system described in appendix 4, by analyzing the cause of the occurrence of the subject's condition based on the answer information, for example, the cause of the occurrence can be grasped, so the condition of the subject is improved. Can take action to do.

  According to the evaluation system described in appendix 5, based on the respondent's attributes, for example, the respondent should be appropriately asked a question by guiding what the respondent should answer. Therefore, the answer information for the question item can be acquired efficiently.

  According to the evaluation program according to attachment 6, the non-time-lapse calculation result information and the time-lapse calculation result information are calculated based on the evaluation information, and the state of the subject is calculated based on the calculated non-time-lapse calculation result information and the time-lapse calculation result information. For example, since the state of the target can be evaluated without performing the evaluation work by the specialist, the evaluation work by the specialist can be omitted, and the state of the subject can be quickly evaluated. it can. Further, for example, since there is no room for the specialist's subjectivity to be included in the evaluation of the state of the subject, the state of the subject can be evaluated objectively. In addition, for example, evaluation can be performed using two types of information, that is, non-time-lapse calculation result information and time-lapse calculation result information. For example, the outline is evaluated and the details are evaluated by the time-lapse calculation result information).

DESCRIPTION OF SYMBOLS 11 Communication part 12 Operation part 13 Display part 14 Recording part 15 Control part 100 Evaluation apparatus 141 Physical management information DB
142 Evaluation Item Information DB
143 Risk level standard information DB
144 comprehensive evaluation criteria information DB
145 Question item specific information DB
146 Answer specific information DB
147 Standard information DB for analysis
151 Calculation unit 152 Evaluation unit 153 Status output unit 154 Reception unit 155 Analysis unit 156 Generation cause output unit 157 Guide unit A11 Personal information display area A12 Height weight growth curve display area A13 Growth rate curve display area A14 Obesity curve area A15 Physical management Information display area A16 Evaluation result display area A161 Risk level result display area A162 Total evaluation result display area T1 tab T2 tab

Claims (6)

An evaluation system for evaluating a subject's condition,
Information for evaluation used for evaluating the state of the target person, and evaluation information storage means for storing the information for evaluation associated with the target person;
Based on the evaluation information stored in the evaluation information storage means, non-temporal calculation result information that does not specify a change with time of the evaluation information and a change with time of the evaluation information are specified. A calculation means for calculating time-lapse calculation result information;
Evaluation means for evaluating the state of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means;
State output means for outputting the state of the subject evaluated by the evaluation means;
An evaluation system comprising: The evaluation system is a system for evaluating the health condition of the subject,
The evaluation information storage means stores at least physical information specifying at least one of the height or weight of the subject as the evaluation information,
The evaluation means includes
Based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means, a non-temporal risk level that is a degree of risk relating to the health condition of the subject, and based on the non-temporal calculation result information Evaluating the non-aging risk level that can be evaluated, and the aging risk level that is a aging risk level that is a degree of risk relating to the health condition of the subject and that can be evaluated based on the aging calculation result information;
Based on the evaluated non-aging risk level and the aging risk level, the health status of the subject is evaluated as the status of the subject.
The evaluation system according to claim 1. The calculation means calculates the non-time-lapse calculation result information and the time-lapse calculation result information for each of a plurality of categories related to the health status of the subject based on the physical information stored in the evaluation information storage means. And
The evaluation means includes
Based on the non-temporal computation result information and the temporal computation result information for each of the plurality of categories calculated by the computing means, the non-aging risk level and the temporal risk level are evaluated for each of the plurality of categories, and the target A maximum risk level at which the degree of risk related to a person's health condition is maximum is evaluated for each of the plurality of categories,
Based on the maximum risk level for each of the plurality of categories evaluated, the health status of the subject is evaluated as the status of the subject.
The evaluation system according to claim 2. Receiving means for receiving answer information for a question item about the occurrence factor related to a matter that can be changed by the target person in order to improve the state of the target person, the generation factor causing the state of the target person;
Based on the answer information received by the receiving means, analysis means for analyzing the cause of the occurrence of the subject's condition;
An occurrence cause output means for outputting the cause of occurrence analyzed by the analysis means,
The evaluation system according to any one of claims 1 to 3. There are a plurality of the question items,
Based on the attributes of the respondent, the guidance means for guiding what the respondent should answer among the plurality of question items,
The evaluation system according to claim 4. An evaluation program for evaluating the condition of a subject,
Computer
Information for evaluation used for evaluating the state of the target person, the evaluation information stored in the evaluation information storage means for storing the information for evaluation associated with the target person. Calculation means for calculating non-temporal calculation result information that does not specify a temporal change in the evaluation information, and temporal calculation result information that specifies a temporal change in the evaluation information;
Evaluation means for evaluating the state of the subject based on the non-temporal calculation result information and the temporal calculation result information calculated by the calculation means;
State output means for outputting at least the state of the subject evaluated by the evaluation means;
Evaluation program to function as.

Images