JP2007257215A - Medical related instruction support system and method and computer program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To achieve beneficial support when various patients are instructed by medical experts or medical non-experts in a medical related instruction support system. <P>SOLUTION: This medical related instruction support system is provided with a selection means (45) for selecting one segment to which one patient is belonging from a plurality of segments based on the level of his or her nutrition concern and nutrition knowledge; an extraction means (46) for extracting segment-categorized instruction data about one selected segment from a storage means (2 and 210); and instruction data presenting means (5, 6) for instructing the extracted segment-categorized instruction data to one patient. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a medical-related instruction support system and method, and a computer for supporting instruction related to medical care such as nutrition instruction usually given by a specialist such as a registered dietitian for disease prevention, health promotion, etc. The present invention relates to the technical field of computer programs that function as such a system.

  Guidance related to this kind of medical treatment is usually given by specialists such as registered dietitians, doctors, nurses and the like for disease prevention, health recovery, health promotion, and the like. Specific guidance includes lifestyle guidance or lifestyle guidance in addition to typical nutrition guidance.

  As a medical-related guidance support system or nutrition support system that supports such guidance using a computer or the Internet, for example, in addition to basic technology (Patent Document 1) related to nutrition guidance on the Internet, such as Technology for selectively granting access rights when performing proper nutritional guidance (Patent Documents 2 and 3), technology for performing such nutritional guidance on a membership system (Patent Document 4), and electronic records of such nutritional guidance records (Patent Document 5), and a technique (Patent Document 6) for calculating the amount of nutrition to be ingested using electronic information obtained from an interview sheet.

JP 2004-013888 A JP 2005-202872 A JP 2003-228626 A JP 2004-265308 A JP 2000-348013 A Japanese Unexamined Patent Publication No. 09-101946

  However, in any of the above-described post-surgical operations described above, a part of some work related to nutrition guidance traditionally performed by a registered dietitian or the like is merely performed using a computer or the Internet. Furthermore, unless there is a specialist such as a dietitian, it is difficult or impossible to provide nutritional guidance. In particular, according to any background technology, the contents of instruction are classified according to medical conditions and test values, and include the background and background of individual patients, including knowledge and interest regarding medical care and nutrition, and lifestyles. However, it is technically impossible to give guidance while taking this into consideration. For this reason, as a result, effective guidance is not always performed for all patients.

  The present invention has been made in view of the above-mentioned problems. For example, for guidance related to medical care such as nutritional guidance for disease prevention, etc., medical care such as a registered dietitian or medical professionals such as general householders. It is an object of the present invention to provide a medical-related instruction support system and method, and a computer program that allows a computer to function as such a system, which is very useful in instructing various patients by non-specialists.

  In order to solve the above-described problem, the medical-related instruction support system of the present invention has a plurality of segments classified based on at least two parameters of the degree of nutritional interest of any patient and the degree of nutritional knowledge of the arbitrary patient. Storage means for storing instructional data classified by segment indicating medical instruction contents for persons belonging to each of the arbitrary patients among the arbitrary patients, and a question related to the degree of nutritional interest by one patient Based on the degree of nutritional interest determined according to the correct answer rate in answers and the degree of nutritional knowledge determined according to the correct answer rate in answers to questions related to the nutritional knowledge by the one patient, from among the plurality of segments A selection means for selecting a segment to which the one patient belongs, and a previous means for the selected segment; Comprising a segment teaching data extraction means for extracting from said storing means, the extracted segment guidance data, the guidance data presenting means for presenting to said one patient.

  According to the medical related instruction support system of the present invention, instruction data for each segment is stored in the storage means, which is a large-scale memory device such as a hard disk device, a memory device, or an optical disk device. The segment-specific instruction data is data indicating medical-related instruction contents for patients belonging to each segment, for each of a plurality of segments typically set in advance or changed or modified thereafter. The segment-specific instruction data may be in a data format that can be finally presented or output by instruction data presenting means such as a display device or a sound output device, such as text data, image data, sound data, and the like. Code data indicating such text data, image data, audio data, or object data may be used. Here, the plurality of segments are classified based on at least two parameters, ie, the degree of nutritional interest of any patient and the degree of nutritional knowledge of the arbitrary patient. A segment with a low level of knowledge, a segment with a high level of nutritional interest and a low level of nutritional knowledge, a segment with a low level of nutritional interest and a high level of nutritional knowledge, and a segment with a high level of nutritional interest and a high level of nutritional knowledge , There are four segments.

  In addition, “patient” according to the present invention refers to not only “patients in a narrow sense” that develops disease or particularly lifestyle-related diseases, but also those who may develop disease in general, In other words, it means “patient in a broad sense”. In other words, it means a person who receives guidance or a counselor. For example, a person who is in a healthy state at the present time is treated as a “patient” as long as he / she receives guidance here including health guidance and health consultation.

  Thereafter, when the guidance for one patient is actually executed, for example, after a question is given to one patient, first, the selection means having a processor, a memory, etc. is used to relate the nutritional interest by this one patient. The degree of nutritional interest is determined according to the correct answer rate in the answer to the question to be asked, and the degree of nutritional knowledge is determined according to the correct answer rate in the answer to the question related to nutritional knowledge by this one patient. Alternatively, the degree of nutritional interest and the degree of nutritional knowledge are determined by other determination means different from the selection means. Based on the degree of nutritional interest and the degree of nutritional knowledge determined in this way, one segment to which one patient belongs is selected from the plurality of segments by the selection means. Thereby, for example, a segment having a high degree of nutritional interest and a low degree of nutritional knowledge is selected as a segment to which one patient belongs.

  After that, for example, by the extraction means having a processor, a memory, etc., the segment instruction data for the one segment thus selected is extracted from the storage means, and then the segment instruction data thus extracted is obtained. For example, it is presented to one patient by instruction data presenting means having a display, a speaker and the like.

  Here, in particular, according to the study of the present inventor, “nutrition knowledge” has a correlation with diet experience and health evaluation, for example, has an inverse correlation with supplement use. Patients with high nutritional knowledge are likely to have already established some kind of health care method after trial and error. On the other hand, the “degree of nutritional interest” correlates with lifestyle habits, and a tendency for better lifestyle habits is confirmed for patients with higher food interest levels. Therefore, based on the degree of nutritional interest and the degree of nutritional knowledge, for example, in the case of the above four segments, statistically, a segment with a high degree of nutritional interest and a high degree of nutritional knowledge is, for example, “honor life stress A segment with low nutritional interest and high degree of nutritional knowledge may be considered as “Going My Way”, for example, and a segment with low nutritional interest and low degree of nutritional knowledge is A segment that has a high degree of nutritional interest and a low level of nutritional knowledge may be considered, for example, as “a type for which guidance is desired”. As the instruction data by segment, for example, for the above-mentioned “honor student stress accumulation type” segment, a program for reducing stress and continuing a healthy lifestyle, for example, the “going my way type” For the segment, a program that objectively grasps the meaning of the test results and meal contents as numerical values and achieves the numerical improvement goal together. A program that makes objective data understand that it contributes to the prevention of progression, such as a program that improves the accuracy of self-management by acquiring systematic nutritional knowledge for the “types that require guidance” segment Is preferably presented.

  As a result of the above, it is not according to medical conditions or test values such as traditional nutritional guidance, or not only by medical condition or test values, but also for knowledge and interest regarding medical and nutrition in individual patients, as well as lifestyle. Thus, it is possible to carry out guidance in consideration of the background or background of each individual patient. This leads to very effective nutritional guidance, health guidance, lifestyle guidance, lifestyle guidance, and the like for a wide variety of patients. In particular, since registered dietitians have traditionally been trained to provide guidance based on food, disease state, laboratory value, etc., regardless of the type of patient. Such segmental guidance support is extremely useful in practice.

  Moreover, it is not completely patient-specific or fully tutored, i.e. infinitely segmented instruction, but at least by an appropriate number of segments based on the degree of nutritional interest and the degree of nutritional knowledge. Since the instruction data is presented, it is possible to perform the instruction in consideration of the background of each individual patient in a relatively simple manner. For this reason, even when there are no specialists such as a registered dietitian, a doctor, and a nurse, it is relatively easy to perform appropriate nutritional guidance and the like.

  In one aspect of the medical-related instruction support system according to the present invention, the storage means includes, as the plurality of segments, in addition to the two parameters, sex, age, illness, and meal content related to the arbitrary patient. The segment-specific instruction data is stored for each of a plurality of segments classified based on at least one of the parameters.

  According to this aspect, the plurality of segments are classified based on at least one of the four parameters of sex, age, illness, and meal content in addition to the two parameters of the degree of nutritional interest and the degree of nutritional knowledge. For example, the segment is a man who has a low degree of nutritional interest and a low degree of nutritional knowledge, and a woman who has a high degree of nutritional interest and a high degree of nutritional knowledge. That is, if the four segments based on the two parameters of the degree of nutritional interest and the degree of nutritional knowledge are so-called “large segments”, each of these four large segments is further divided into a plurality of so-called “small” The segment is divided into segments according to the present invention. Here, the “disease” is not limited to a disease that currently develops, but in addition to or instead of this, may be a disease that has occurred in the past, in other words, a medical history, or may include a medical history. The “meal content” is, for example, the presence or absence of excess calories or energy, the presence or absence of excess lipids, the presence or absence of excess salt, or the presence or absence of minerals of a patient's diet. The presence or absence of specific items related to meals classified into predetermined categories from the viewpoint of disease prevention and the degree of the specific items are indicated. This is usually recorded by the patient himself or herself as a meal record for one patient.

  By segmenting the segments in consideration of gender, age, illness, meal content, etc. as other parameters in this way, when guidance is actually given to one patient, It is possible to present segment-specific guidance data that appropriately corresponds to gender, age, and the like.

  In another aspect of the medical related guidance support system according to the present invention, patient attribute data input means capable of inputting patient attribute data indicating the attribute of the one patient, and a patient input via the patient attribute data input means And a correction means for correcting the extracted segment-specific instruction data based on the attribute data, wherein the instruction data presentation means presents the corrected segment-specific instruction data.

  According to this aspect, when the instruction for one patient is actually executed, the patient indicating the attribute of the one patient via the patient attribute data input means such as a keyboard, a mouse, a touch panel, and a voice input device, for example. Attribute data is entered. Here, the “attribute” means various characteristics unique to the patient, such as height, weight, blood pressure, etc., in addition to sex, age, disease, and meal content. The patient attribute data may be in a data format that can be input via patient attribute data input means such as a keyboard, such as text data, numerical data, code data, icon data, and voice data. Further, it may be data that can be selected from the listed text data and the like. Subsequently, based on the patient attribute data input in this way, for example, the segment-based instruction data extracted by the extraction unit is corrected by a correction unit including a controller, a memory, and the like, and the corrected segment-specific instruction data is Presented. Here, “correction” is typically a restriction or limitation on one or more actions that should not be performed or should be performed, or a plurality of actions that constitute the instruction content. And partial / selective / alternative expressions are deleted, and the segment-specific instruction data to be presented will be reduced by the correction accompanied by such deletion. In other words, data that is meaningless or highly effective will be presented more significantly by reducing the meaningless or less effective data for the one patient among the segmental guidance data presented. Become. In other words, the extracted segment-specific instruction data is presented after being narrowed down by patient attribute data.

  In another aspect of the medical related guidance support system according to the present invention, executable action data indicating an action that is executable or at least relatively difficult to execute by the one patient and an action that is not executable or at least relatively difficult to execute Action data input means capable of inputting at least one action data out of the inexecutable action data indicating the above, and the extracted segment based on at least one action data input via the action data input means Correction means for correcting another instruction data, and the instruction data presenting means presents the corrected segment-specific instruction data.

  According to this aspect, when instruction for one patient is actually executed, executable action data and non-executable actions are provided through action data input means such as a keyboard, a mouse, a touch panel, and a voice input device, for example. Data is entered. Here, infeasible or difficult to carry out is, for example, that one patient must stop to make a living or live, that is, practically out of control or free. Means. Specifically, there are overtime, night shift, irregular meals, long boarding, long standing work, long sitting work, and the like. The action data may be in a data format that can be input via action data input means such as a keyboard, such as text data, numerical data, code data, icon data, and voice data. Further, it may be data that can be selected from the listed text data. Subsequently, on the basis of the executable action data and the non-executable action data input in this manner, the instruction data classified by segment extracted by the extracting means is corrected by the correcting means including a controller, a memory, etc. Segmented instruction data is presented. In other words, data that is meaningless or highly effective will be presented more significantly by reducing the meaningless or less effective data for the one patient among the segmental guidance data presented. Become. In other words, the extracted instruction data for each segment is presented after being narrowed down by action data.

  In addition to the two parameters of the degree of nutritional interest and the degree of nutritional knowledge of any patient, the multiple segments are self-managed corresponding to such executable action data and infeasible action data. You may classify | categorize based on the parameter of the management freedom degree which shows a freedom degree, or the management priority which shows the priority in self-management. That is, the number of segments in the storage means may be as many as previously classified in consideration of these parameters of management freedom or management priority. In this case, no correction is required by the correction means based on the executable action data or the non-executable action data, and the degree of freedom of management or the management priority corresponding to the input executable action data or non-executable action data. The segment-specific instruction data is extracted from the storage means by the extraction means. That is, finally, as in the case of the above-described aspect, the data that is meaningless or less effective for the one patient among the segmented instruction data to be presented is reduced.

  In another aspect of the medical related guidance support system according to the present invention, a nutritional interest level determination unit that determines the degree of nutritional interest level according to a correct answer rate in an answer to a question related to the level of nutritional interest by the one patient, Nutritional knowledge level determining means for determining a degree of the nutritional knowledge according to a correct answer rate in an answer to a question related to the nutritional knowledge by the one patient.

  According to this aspect, when the instruction for one patient is actually executed, the correct answer in the answer to the question related to the degree of nutritional interest by the one patient, for example, by the nutritional interest degree determining means having a processor, a memory, etc. The degree of nutritional interest is determined according to the rate, and in parallel or in parallel with this, in response to questions related to nutritional knowledge by this one patient by means of nutritional knowledge level determination means having, for example, a processor, memory, etc. The degree of nutrition knowledge is determined according to the correct answer rate. Then, based on the degree of nutritional interest and the degree of nutritional knowledge determined as described above, one segment to which one patient belongs is selected from the plurality of segments by the selection means. As described above, since the degree of nutritional interest and the degree of nutritional knowledge are automatically determined according to the correct answer rate after the answer by the patient, it is very convenient practically.

  In another aspect of the medical related guidance support system according to the present invention, in the answer to the question related to the nutrition knowledge, the nutrition interest degree correct answer rate calculation means for calculating the correct answer rate in the answer to the question related to the nutrition interest Nutritional knowledge correct answer rate calculating means for calculating the correct answer rate is further provided.

  According to this aspect, when instruction for one patient is actually executed, for example, after a question is given to one patient, the nutrition interest level correct answer rate calculation means having, for example, a processor, a memory, etc. The correct answer rate in the answer to the question related to the degree is calculated. In parallel with or in parallel with this, the correct answer rate for answers to questions related to nutrition knowledge is calculated by, for example, a nutrition knowledge correct answer rate calculation means having a processor, a memory, and the like. Then, the degree of nutritional interest and the degree of nutritional knowledge are determined according to the correct answer rate calculated in this way. Thus, the correct answer rate is automatically calculated after the patient answers, which is very convenient in practice.

  In this aspect, the question presenting means for presenting the question related to the degree of nutritional interest and the question related to the nutrition knowledge to the one patient, and an answer to the presented question by the one patient. An answer input means that can be input may be further provided, and the correct answer rate calculating means may be configured to calculate the correct answer rate in the answers input via the answer input means.

  With this configuration, when the guidance for one patient is actually executed, for example, the question related to the nutritional interest level and the question related to the nutrition knowledge are obtained by the question presenting means having a display, a speaker, etc. Presented to one patient. Subsequently, an answer to the presented question is input by one patient via an answer input unit such as a keyboard, a mouse, a touch panel, and a voice input device. And the correct answer rate in the answer inputted in this way is calculated by the correct answer rate calculating means. Since the questions are automatically asked in this way and the correct answer rate is calculated through the answers by the patient, it is very convenient in practice.

  In another aspect of the medical-related instruction support system according to the present invention, the instruction data presenting means presents segment data indicating a segment to which the one patient belongs together with the segment-specific instruction data.

  According to this aspect, the segment to which one patient belongs is displayed together with the segment-specific guidance data by the guidance data presenting means, for example, “You are the“ Homogenous Stress Accumulation Type ””, “You Are“ Unsatisfactory Type ””, etc. The segment data indicating is presented. The segment data may be data in a format that can be finally presented or output by instruction data presenting means such as a display device or a voice output device, such as text data, image data, voice data, and the like. It may be code data, object data, or the like indicating text data, image data, audio data, or the like. For this reason, one patient can be instructed more appropriately. In addition to such segment data, the correct answer rate in answers to questions related to nutritional interest and the correct answer rate in answers to questions related to nutritional knowledge may be presented as numerical values or text data.

  In order to solve the above-described problem, the medical-related instruction support method of the present invention has a plurality of segments classified based on at least two parameters of the degree of nutritional interest of any patient and the degree of nutritional knowledge of the arbitrary patient. A medical-related guidance support method in a medical-related guidance support system comprising storage means for storing segment-specific guidance data indicating the content of medical-related guidance for persons belonging to each of the arbitrary patients among the arbitrary patients. The degree of correctness in the answer to the question related to the nutrition knowledge by the one patient is determined according to the correct answer rate in the answer to the question related to the nutrition knowledge by the one patient. Based on the degree of nutrition knowledge, one segment to which the one patient belongs from the plurality of segments A selection step for selecting the segment, an extraction step for extracting the segment-specific instruction data for the selected one segment from the storage means, and the extracted segment-specific instruction data for the one patient. A guidance data presentation process to be presented.

  According to the medical related instruction support method of the present invention, as in the case of the medical related instruction support system of the present invention described above, knowledge and interest regarding medical care and nutrition in individual patients, and even lifestyles are included. Thus, it is possible to carry out the guidance in consideration of the background or background of each patient in a relatively simple manner.

  In the medical-related instruction support method of the present invention, various aspects similar to the various aspects in the medical-related instruction support system of the present invention described above can be adopted.

  In order to solve the above problems, the computer program of the present invention causes a computer to function as the above-described medical-related guidance support system (including various aspects thereof) according to the present invention.

  According to the computer program of the present embodiment, the computer program can be read from a recording medium such as a CD-ROM or DVD-ROM storing the computer program into a computer provided in the medical related guidance support system and executed. Alternatively, if the computer program is executed after being downloaded via communication means, the above-described medical-related guidance support system according to the present invention can be constructed relatively easily. As a result, as in the case of the above-described medical-related guidance support system according to the present invention described above, the background or individual patient's background, including knowledge and interest regarding medical care and nutrition in each patient, as well as lifestyle, is also provided. It is possible to carry out the guidance in consideration of the background relatively easily.

  The operation and other advantages of the present invention will become apparent from the best mode for carrying out the invention described below.

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

<1: First Embodiment>
The medical-related instruction support system and method of the present invention, or the first embodiment relating to a computer program that can cause a computer to function as a medical-related instruction support system (hereinafter sometimes referred to simply as a program), This will be described with reference to FIGS.

  First, with reference to FIG. 1, the structural example of the computer which operate | moves as a medical relevant instruction | indication support system based on a computer program in this embodiment is demonstrated. FIG. 1 is a block diagram illustrating a configuration of a computer according to the present embodiment.

  According to the program according to the present embodiment, the computer functions as a medical-related instruction support system by being installed in the computer via a recording medium such as a CD-ROM or DVD-ROM or by download via the Internet or the like. Let

  The computer having the configuration shown in FIG. 1 includes, as hardware resources, computers such as known personal computers, workstations, medium-sized computers, large computers, mobile computers (portable information terminals), and electronic notebooks. The computer includes a storage device 2, an input device 3, a processing unit 4, a display device 5 and a printing device 6, a communication unit 7, and a reading device 8.

  The storage device 2 includes a memory such as a hard disk device and a semiconductor memory, or a memory that functions as a register, a magnetic disk device, a magneto-optical disk device, an optical disk device, and other well-known storage devices that are randomly accessible. The storage device 2 includes segment-specific instruction data storage means 210 that is an example of the “storage means” according to the present invention.

  Next, in FIG. 1, the processing unit 4 is composed of, for example, a controller, a CPU (Central Processing Unit), a memory, and the like, and extracts segment-specific instruction data stored in the segment-specific instruction data storage unit 210. Nutrition interest level correct answer rate calculation means 41, nutrition interest level determination means 42, nutrition knowledge correct answer rate calculation means 43, nutrition knowledge level determination means 44, selection means 45, extraction means 46, and correction Means 47 is included.

  In the computer, the display device 5 and the printing device 6 constitute an example of each of “instruction data presenting means” and “question presenting means” according to the present invention. Each of the “instruction data presenting means” and the “question presenting means” is not limited to such a configuration, and includes a display device 5 and a printing device 6 as well as a speaker (not shown in FIG. 1). It may be constituted by.

  The display device 5 is a known display device such as a CRT (Cathode Ray Tube) device or an LCD (Liquid Crystal Display device), and displays various data generated in the processing unit 4 in a predetermined format. The printing device 6 is a known printing device such as a laser beam printer or an ink jet printer. For example, the printing device 6 generates various data generated by the processing unit 4 and displayed on the display device 5 or data output from the processing unit 4. Print directly. The printing device 6 may be a color or monochrome type.

  The communication unit 7 includes a modem for exchanging programs according to the present embodiment, various data generated by the processing unit 4 and the like with other computers. The communication unit 7 is connected to other large computers, personal computers, mobile computers (portable information terminals), electronic notebooks, etc. via communication lines such as wired, wireless, dedicated lines, general lines, and telephone lines. Yes.

  The reading device 8 includes, for example, a CD drive, a DVD drive, an FD (flexible disk) drive, and the like, and a program according to the present embodiment recorded on a recording medium 8a such as a CD-ROM, DVD-ROM, or FD. read.

  The input device 3 corresponds to an example of each of “patient attribute data input means” and “answer input means” according to the present invention, and includes a keyboard, a numeric key switch, a mouse, a trackball, an input pen, an input tablet, or a well-known voice input. It consists of devices.

  Subsequently, in addition to FIG. 1, an outline of an example of medical related guidance such as nutrition guidance performed using the medical related guidance support system will be described with reference to FIGS. 2 to 4. FIG. 2 is a diagram illustrating a flowchart for explaining an example of a procedure for medical related guidance. In the following, the procedure shown with reference to FIG. 2 is performed at least partially by the computer shown in FIG. 1, and the details of the operation will be described later with reference to FIGS.

  In FIG. 2, in performing medical-related guidance in this embodiment, screening data is first obtained by screening each patient who is the target of medical-related guidance. The examination data is input as data in a predetermined format such as numerical data, text data, code data, for example, via the input device 3 (step S1). Thereafter, a questionnaire-type question is performed on each patient, for example, via the display device 5, whereby the degree of nutritional interest and the degree of nutritional knowledge are determined (step S2 and step S3). Subsequently, segmentation is performed for each patient using the examination data obtained in steps S1 to S3, the degree of nutritional interest, and the degree of nutrition knowledge as parameters, respectively (step S4).

  More specifically, each patient is classified into 16 types of meal types based on each value of the examination data such as blood pressure and body fat obtained in step S1 described above, and further on the record regarding the meal contents according to the patient's own report. To each of them. The "meal type" here refers to characteristics classified by considering which of these multiple characteristics is derived from multiple typical common characteristics based on the individual meal contents of each patient. Mean each group of patients.

  In this embodiment, for each patient's dietary content, for example, focusing on each nutrient of energy, lipid, sodium, vitamins and minerals, the intake of each nutrient is calculated, and this intake varies with sex and age. Calculate the sufficiency rate for the essential nutrients. The essential nutrients may be based on a predetermined value determined by the Ministry of Health and Welfare, for example, and factors such as diseases may be further taken into consideration. Then, each patient is assigned to any of the 16 meal types based on the calculated satisfaction rate of each nutrient.

  FIG. 3 shows a table representing the characteristics of each of the 16 meal types. In FIG. 3, in the table, for each nutrient of energy, lipid, and sodium, the essential nutrient amount is set to 100%, and the filling rate is 10% or more, that is, the filling rate is 110% or more. In the case of “excessive energy +”, “excessive lipid +”, “excessive sodium +”, and when the sufficiency is less than 110%, “excessive energy−”, “excessive lipid−”, “excessive sodium— ", Respectively. As for vitamins and minerals, if the essential nutrition is 100%, if the sufficiency rate is 10% or more, that is, if there are 2 or more nutrients with a sufficiency rate of 90% or less, “Vitamin Other than being classified as “vitamin / mineral deficiency +”, “mineral deficiency +” is classified as “vitamin / mineral deficiency−”.

  Each group classified in this way is associated with each other and further classified into 16 meal types. For example, in FIG. 3, if “excessive energy +”, “excessive lipid +”, “excessive sodium +”, “insufficient vitamin / mineral +” are classified as meal type 1, “excessive energy +”, “excessive lipid +” "," Sodium excess + "," vitamin / mineral deficiency-", it is classified into meal type 2, and so on.

  As described above, in the present embodiment, four classifications (hereinafter referred to as appropriate) according to each patient's degree of nutritional interest and degree of nutritional knowledge obtained in steps S2 and S3 (that is, an example of “two parameters” according to the present invention). In the segmentation of step S2 in FIG. 2, there are four “large segments”) and 16 classifications based on the meal type obtained in step S1 (ie, an example of “other parameters” according to the present invention). Each patient will be classified into any one of a total of 4 × 16 = 64 segments.

  FIG. 4 is a diagram for explaining four large segments according to the degree of nutritional interest and the degree of nutritional knowledge. Each patient's degree of nutritional interest and nutritional knowledge is asking each patient a question relating to nutritional interest and a question relating to nutritional knowledge (see steps S2 and S3 in FIG. 2) and It is determined based on each correct answer rate in the answer. The correct answer rate indicating the degree of nutritional interest and the degree of nutritional knowledge is represented by, for example, the number of points for the degree of nutritional interest and the number of points for the nutritional knowledge. As a result, if the number of points is greater than a predetermined value, the degree of nutritional interest is determined to be high. Conversely, if the number of points is smaller than the predetermined value, the degree of nutritional interest is classified as low. The degree of nutritional knowledge is classified as high if the score is larger than a predetermined value, and conversely, it is classified as low if the score is smaller than the predetermined value. In this case, the points for the questions may be simply added, or may be added with a weight added to each question.

  Based on this classification, a large segment with a high degree of nutritional interest and a high degree of nutritional knowledge, a large segment with a low degree of nutritional interest and a high degree of nutritional knowledge, a low degree of nutritional interest and a degree of nutritional knowledge Segmentation into large segments with low, high nutritional interest and low degree of nutritional knowledge.

  According to the study of the present inventor, “nutrition knowledge” is correlated with diet experience and health assessment, for example, inversely correlated with supplement use. Patients with high nutritional knowledge are likely to have already established some kind of health care method after trial and error. On the other hand, the “degree of nutritional interest” correlates with lifestyle habits, and a tendency for better lifestyle habits is confirmed for patients with higher food interest levels.

  Therefore, based on such a view, in this embodiment, a large segment with a high degree of nutritional interest and a high degree of nutritional knowledge is classified as, for example, “honor life stress accumulation type A”. A large segment with a high degree of nutrition is classified as, for example, “Going My Way Type B”, and a large segment with a low degree of nutritional interest and a low degree of nutritional knowledge is classified as, for example, “Unconserved Type C”. A large segment with a low degree of knowledge is classified as, for example, “Type D for which a guide is desired”. In the following, “Homogenous Stress Accumulation Type A”, “Going My Way Type B”, “Unsatisfactory Type C”, and “Type D that Needs Guidelines” are simply Type A, Type B, Type C, and Type D. It may be referred to and described.

  Returning to FIG. 2, after step S4, medical-related guidance is performed for each of 4 × 16 = 64 types of segments as described above (step S5). In the present embodiment, when conducting medical-related guidance, a basic action guideline is created in advance for each of the meal types 1 to 16 shown in FIG. 3 by a specialist such as a nutritionist, a doctor, or a nurse. The contents of these 16 basic action guidelines are narrowed down for each of the four large segments of type A to type D shown in FIG. In narrowing down the contents, based on the above-mentioned view, considering the personal activities and dietary activities of each patient of type A to type D, for type A, stress is reduced and healthy. A program to continue the lifestyle is implemented as medical guidance, and for Type B, a program that objectively grasps the meaning of the test results and the contents of the meal as numerical values and achieves the numerical improvement goals together as medical guidance. As for Type C, a program that makes objective data understand that dietary improvement contributes to prevention of disease progression is implemented as medical-related guidance. For Type D, systematic nutrition knowledge is acquired. To improve the accuracy of self-management so that it can be implemented as medical guidance. Thus, for each of the 16 types of meals, the contents of medical-related guidance such as basic action guidelines are created for each of 4 × 16 = 64 types of segments corresponding to four large segments of type A to type D. More specifically, segment-specific instruction data indicating the contents is created as text data or image data.

  FIG. 5 shows an example of a basic action guideline that constitutes an example of medical-related guidance created for meal type 1. In FIG. 5, the basic action guidelines for meal type 1 are “excessive energy +”, “excessive fat +”, “excessive sodium +”, and “vitamin / mineral deficiency +”. Is created by enumerating one or more actions that should or should not be performed to reduce or increase the intake of nutrients corresponding to. Then, for each of type A to type D with respect to the basic action guideline, a plurality of actions listed in the basic action guideline are corrected to create four kinds of action guideline. As a result, the number of actions listed in the action guidelines of each of type A to type D obtained in this way, in addition to or in addition to this, the contents of at least some of the one or more actions, Narrow down to the actions listed in the Basic Action Guidelines. In this way, 16 types of segment-specific instruction data for each meal type are further created as text data for each of types A to D. That is, finally, for each of the 64 types of segments, segment-specific instruction data is generated. It is created as data for presentation such as text data, image data, audio data and the like.

  Returning to FIG. 2 again, in step S5, treatment-related guidance created for each type of meal and for each type of type A to type D, that is, created for each segment, is performed for each patient. Specifically, the content of medical-related guidance including basic action guidelines and the like created for each segment is displayed on the patient or the subject as, for example, a display in a predetermined format via the display device 5 (see FIG. 1). It is presented to a registered dietitian who provides guidance to patients.

  Thereafter, for each patient, for example, when reinstruction is desired due to the patient's own will, that is, if “YES” in step S6, the process returns to step S1 again, and each process from step S1 to step S5 is performed. For example, if re-instruction is not desired due to the patient's own willingness, that is, if “NO” in step S6, the series of medical-related instruction is terminated.

  Next, with reference to FIG. 6, the segment-specific instruction data stored in the segment-specific instruction data storage means 210 in the computer configuration shown in FIG. 1 will be described. FIG. 6 is an explanatory diagram for conceptually explaining the configuration of segment-specific instruction data.

  In FIG. 6, for example, when performing the above-described medical-related guidance described with reference to FIG. 2, a plurality of segment-specific guidance data is stored in the segment-specific guidance data storage unit 210. Each of the plurality of segmental instruction data is divided into 16 × 4 segments that are segmented into each of the 16 meal types shown in FIG. 3 and segmented into each of the types A to D described with reference to FIG. 4. Stored as segment-specific instruction data. The instruction data for each segment is, for example, data in a format that can be displayed by the display device 5 such as text data or image data associated with a segment code indicating each segment. Alternatively, the instruction data for each segment may be code data or a pointer associated with the segment code and indicating such text data, image data, or the like.

  More specifically, for each large segment of type A to type D, the segment of type A is further segmented into 16 meal types. As a result, 16 types of segmental instruction data Ja ( 1) to Ja (16) are stored. Similarly, 16 types of segment-specific instruction data Jb (1) to Jb (16) for type B, 16 types of segment-specific instruction data Jc (1) to Jc (16) for type C, and 16 types for type D The segment-specific instruction data Jd (1) to Jd (16) are stored.

  Here, the segment-specific instruction data Ja (i) to Jd (i) (i = 1,..., 16) are presented to each patient described in the process of step S4 in FIG. This is data indicating action guidelines, and the segment-specific guidance data Ja (i) to Jd (i) include a plurality of action data Jai, Jbi, Jci, or Jdi indicating actions belonging to one action guideline.

  For example, as described above for the basic action guideline for meal type 1 described with reference to FIG. 5, the plurality of actions included in the basic action guideline are narrowed down for each large segment of type A to type D, respectively. It is. Then, among the actions listed in the basic action guideline, action data Ja1 is created for each action that belongs to the type A action guideline, and the action data Jb1 is stored for each action that belongs to the type B action guideline. Action data Jc1 is created for each action that is created and belongs to the type C action guideline, and action data Jd1 is created for each action that belongs to the type D action guideline.

  Next, details of work performed by the computer shown in FIG. 1 in the medical-related guidance procedure described with reference to FIG. 2 will be described with reference to FIGS. FIG. 7 is a flowchart showing the work flow in the computer. FIG. 8A is a diagram showing an example of a question related to the degree of nutritional interest, and FIG. It is a figure which shows an example of the answer with respect to the question relevant to an interest degree. FIG. 9A is a diagram illustrating an example of a question related to nutrition knowledge, and FIG. 9B is a diagram illustrating an example of an answer to a question related to nutrition knowledge.

  When the instruction for one patient is actually executed, first, in the computer shown in FIG. 1, a question related to the degree of nutritional interest and a question related to nutritional knowledge are asked by the display device 5 or the printing device 6. To the patient (step S101). At this time, for example, on the display device 5, display screens Op1a and Op2a as shown in FIGS. 8A and 9A are displayed, respectively.

  Thereafter, the one patient inputs an answer with the input device 3 such as a mouse or a keyboard while confirming the display screens Op1a and Op2a of the display device 5, for example (step S102). By this answering operation, for example, the display device 5 is changed to display screens Op1b and Op2b as shown in FIGS. 8B and 9B and displayed respectively.

  Thereafter, in the processing unit 4, the nutritional interest level correct answer rate calculating unit 41 calculates the correct answer rate in the answer to the question related to the nutritional interest level (step S <b> 103), and the nutritional knowledge correct answer rate calculating unit 43 provides the nutritional knowledge. The correct answer rate in the answer to the related question is calculated (step S104). At this time, as already described with reference to FIG. 4, the nutrition interest degree correct answer rate calculating means 41 calculates the correct answer rate as a point number, and the nutrition knowledge correct answer rate calculating means 43 calculates the correct answer rate as a score. The correct answer rate calculated in this way may be displayed on the display device 5 in a predetermined format.

  Thereafter, in the processing unit 4, the nutritional interest level determination unit 42 determines the degree of nutritional interest level according to the correct answer rate calculated by the nutritional interest level correct answer rate calculation unit 41 (step S <b> 105) and the nutritional knowledge level determination unit 44. Determines the degree of nutrition knowledge in accordance with the correct answer rate calculated by the nutrition knowledge correct answer rate calculation means 43 (step S106). At this time, as already described with reference to FIG. 4, if the number of points is larger than a predetermined value, the degree of nutritional interest is high. Conversely, if the number of points is smaller than the predetermined value, the degree of nutritional interest is low. The degree of nutritional knowledge is determined to be high if the score is greater than a predetermined value, and conversely, if it is smaller than the predetermined value, it is determined to be low. The degree of nutritional interest and the degree of nutritional knowledge determined in this way may be displayed on the display device 5 in a predetermined format.

  Thereafter, in the processing unit 4, the selection unit 45 performs type A to type based on the degree of nutritional interest determined by the nutritional interest level determination unit 42 and the degree of nutritional knowledge determined by the nutritional knowledge level determination unit 44. Among the large segments of D, one large segment to which one patient belongs is selected (step S107). The large segments of type A to type D selected in this way may be displayed on the display device 5 in a predetermined format.

  Thereafter, in the processing unit 4, the extraction unit 46 selects the segment-specific instruction data Ja (1) to Ja (16), Jb corresponding to one large segment of the types A to D selected by the selection unit 45. (1) to Jb (16), Jc (1) to Jc (16), or Jd (1) to Jd (16) are extracted from the segment-specific instruction data storage means 210 (step S108).

  Thereafter, for example, the meal types classified based on the screening results for one patient (that is, one of 16 meal types) are input as patient attribute data via the input device 3 (step). S109). Subsequently, in the processing unit 4, the correcting means 47 is a group of segment-specific instruction data Ja (1) to Ja (16), Jb (1) extracted by the extracting means 46 based on the inputted patient attribute data. ~ Jb (16), Jc (1) ~ Jc (16) or Jd (1) ~ Jd (16), one segment-specific instruction data Ja (i) corresponding to the meal type indicated by the patient attribute data, Jb (i), Jc (i), or Jd (i) is selected (step S110). That is, segment-specific instruction data is selected for each segment based on the degree of nutritional interest and the degree of nutritional knowledge and also based on the meal type. In other words, the segmental guidance data for each segment based on the degree of nutritional interest and the degree of nutritional knowledge is modified based on the meal type. Alternatively, segmental guidance data for each segment based on the degree of nutritional interest and the degree of nutritional knowledge can be narrowed down based on meal type.

  Thereafter, the segment-specific instruction data Ja (i), Jb (i), Jc (i), or Jd (i) thus corrected or narrowed down is presented to the printing device 6 or the display device 5. (Step S111). At this time, together with one segment-specific instruction data Ja (i), Jb (i), Jc (i), or Jd (i), for example, “You are an unsuppressed type.” ~ Segment data indicating one segment of type D may be presented.

  Here, for example, when it is determined in steps S105 and S106 that the degree of nutritional interest is low and the degree of nutritional knowledge is high for one patient, the selection means 45 selects a large segment of type B in step S107. To do. Thereby, in step S108, the extracting means 46 extracts a group of segment-specific instruction data Jb (1) to Jb (16) belonging to the large segment of type B. Thereafter, when patient attribute data indicating, for example, meal type 1 is input via the input device 3 in step S109, a group of segment-specific instruction data Jb (1) to Jb (16) are included in the group in step S110. It is corrected (that is, narrowed down) to one segment-specific instruction data Jb (1) corresponding to meal type 1.

  In this case, in step S111, for example, the display device 5 displays a display screen as shown in FIGS. Here, FIG. 10 and FIG. 11 each show an example of the display screen of the display device in step S111. For example, the display device 5 displays the display screen Op3 shown in FIG. 10 corresponding to the segment data, and one action guideline indicated by the segment-specific instruction data Jb (1) is displayed in FIG. Displayed on screen Op4. In this case, on the display screen Op3 shown in FIG. 10, the content for notifying that one patient is classified as type B is displayed. On the display screen Op4 shown in FIG. The action indicated by the action data Jb1 included in 1) is displayed. In addition, in FIG. 10, in addition to the segment data, the correct answer rate in answers to questions related to the degree of nutritional interest and the correct answer rate in answers to questions related to nutrition knowledge are presented as numerical values on the display screen Op3. You may do it.

  Therefore, in this embodiment as described above, it is not according to disease states or test values such as traditional nutritional guidance, or not only by disease state or test values, but also on knowledge and medical care and nutrition in individual patients. It is possible to provide guidance in consideration of the background or background of individual patients including interests and lifestyles. This leads to very effective nutritional guidance, health guidance, lifestyle guidance, lifestyle guidance, and the like for a wide variety of patients. In particular, since registered dietitians have traditionally been trained to provide guidance based on food, disease state, laboratory value, etc., regardless of the type of patient. Such segmental guidance support is extremely useful in practice.

  Moreover, it is not completely patient-specific or fully tutored, i.e. infinitely segmented instruction, but at least by an appropriate number of segments based on the degree of nutritional interest and the degree of nutritional knowledge. Since the instruction data is presented, it is possible to perform the instruction in consideration of the background of each individual patient in a relatively simple manner.

  For this reason, even when there are no specialists such as a registered dietitian, a doctor, and a nurse, it is relatively easy to perform appropriate nutritional guidance and the like. Here, as described with reference to FIG. 2, in conducting medical-related guidance, it is necessary to involve an expert in creating a basic action guideline and a plurality of action guides of 16 × 4 based on this, According to the computer shown in FIG. 1 as a medical related guidance support system in which a plurality of such action guidelines are stored as data, even if an expert is absent, it is relatively easy to perform medical related guidance. Easy and possible.

<2: Second Embodiment>
Next, a second embodiment according to the medical related guidance support system and computer program of the present invention will be described. In the second embodiment, the operation of the computer based on the program is partially different from that in the first embodiment. Therefore, in the second embodiment, the description overlapping with that of the first embodiment is omitted, and the common portions are denoted by the same reference numerals, and only different points will be described with reference to FIGS.

  FIG. 12 is a flowchart illustrating the operation flow of the computer according to the second embodiment.

  In the second embodiment, when actually instructing one patient, an action that is feasible or at least relatively difficult to perform (hereinafter simply referred to as “executable action”) will be described. And in addition to or instead of this act, questions regarding infeasible or at least relatively difficult conduct (hereinafter sometimes simply referred to as “infeasible act”) And get one patient's answer.

  FIG. 13 shows an example of a question regarding an executable action or an unexecutable action. In FIG. 13, an executable action or an infeasible action is investigated by one patient creating an answer for each item of a question. In the second embodiment, the computer is configured such that, for example, the display device 5 or the printing device 6 presents a question as shown in FIG. 13 and an answer is created via the input device 3. Also good.

  Thereafter, in the second embodiment, the computer shown in FIG. 1 performs a series of operations to execute guidance for one patient.

  In FIG. 12, in the computer shown in FIG. 1, as in the first embodiment, after each processing from step S101 to step S109 is performed, the “action data input means” according to the present invention is executed by one patient, for example. As described above, at least one of the executable action data indicating the executable action and the unexecutable action data indicating the unexecutable action is input via the input device 3 as an example based on the answer of one patient as described above. Input (step S209). The input here is executed, for example, by selecting a corresponding item or selecting a non-applicable item from among a plurality of items each indicating action data listed as text data or image data. .

  Note that such executable action data and non-executable action data may be input as part of the questionnaire response input in steps S101 and S101.

  Thereafter, in step S110, the correcting means 47 adds the action data Jai, Jbi, Jci, or Jdi belonging to one segment-specific instruction data Ja (i), Jb (i), Jc (i), or Jd (i). On the other hand, correction is performed based on the executable action data or the non-executable action data input.

  For example, as already described in the first embodiment, when the correction unit 47 corrects a group of segment-specific instruction data Jb (1) to Jb (16) to one segment-specific instruction data Jb (1), Furthermore, a part of the action data Jb1 belonging to one segment-specific instruction data Jb (1) is deleted based on the executable action data or the non-executable action data, or the contents of each part of the action data Jb1 are restricted. Corrected and narrowed down.

  Therefore, in this case, in step S111, for example, a display screen as shown in FIG. FIG. 14 shows an example of the display screen of the display device in step S111 in the second embodiment. In FIG. 14, the one action guideline indicated by the one segment-specific instruction data Jb (1) modified as described above is displayed on the display screen Op5. This one action guideline is shown in FIG. Compared with the action guideline displayed on the display screen Op4, the content is narrowed down.

  Therefore, in the second embodiment, the segment-specific instruction data Ja (i), Jb (i), Jc (i), or Jd (i) is meaningless or effective for the one patient. By reducing the action data Jai, Jbi, Jci, or Jdi having a low value, meaningful or highly effective data is presented more prominently.

  In the second embodiment, in addition to the three parameters already described with reference to FIGS. 3 and 4, which are the meal type, the degree of nutritional interest, and the degree of nutritional knowledge, executable action data and execution Based on the parameter of management freedom indicating the degree of freedom of self-management or management priority indicating the priority in self-management corresponding to the possible action data, the segment-specific instruction data is classified, and the segment-specific instruction data storage means 210 May be stored.

  In this case, the correction by the correcting means 47 based on the executable action data or the unexecutable action data is not necessary, and the degree of freedom of management or the management priority corresponding to the input executable action data or the non-executable action data. The segment-specific instruction data is extracted from the segment-specific instruction data storage unit 210 by the extraction unit 46. Therefore, even in this case, it is possible to enjoy the advantages of the second embodiment described above.

  In addition, as described above, the medical related guidance support system according to the present embodiment includes various functions related to medical care such as a nutrition guidance system or a nutrition management guidance system, a lifestyle guidance system, or a lifestyle guidance system, A corresponding effect can also be obtained by executing a part of the function.

  Note that the present invention is not limited to the above-described embodiment, and can be appropriately changed without departing from the spirit or idea of the invention that can be read from the claims and the entire specification. Related instruction support systems and methods, and computer programs are also included in the technical scope of the present invention.

It is a block diagram which shows the structure of the computer which concerns on this embodiment. It is a figure which shows the flowchart for demonstrating an example of the procedure of medical related guidance. It is a figure which shows the table | surface showing each characteristic of 16 meal types. It is a figure for demonstrating four segmentation. It is a figure which shows an example of the basic action guideline produced about the meal type. It is explanatory drawing for demonstrating the structure of the instruction data classified by segment notionally. It is a figure which shows the flowchart which shows the flow of an operation | work in a computer. FIG. 8A is a diagram illustrating an example of a question related to the nutritional interest level, and FIG. 8B is a diagram illustrating an example of an answer to the question related to the nutritional interest level. FIG. 9A is a diagram illustrating an example of a question related to nutrition knowledge, and FIG. 9B is a diagram illustrating an example of an answer to a question related to nutrition knowledge. It is a figure which shows an example (the 1) of the display screen of the display apparatus in step S111. It is a figure which shows an example (the 2) of the display screen of the display apparatus in step S111. It is a figure which shows the flowchart which shows the flow of operation | movement of the computer in 2nd Embodiment. It is a figure which shows an example of the question regarding an executable action or an unexecutable action. In 2nd Embodiment, it is a figure which shows an example of the display screen of the display apparatus in step S111.

Explanation of symbols

  2 ... Storage device, 4 ... Processing unit, 5 ... Display device, 6 ... Printing device, 45 ... Selection means, 46 ... Extraction means, 210 ... Segmented instruction data storage means

Claims (10)

For each of a plurality of segments classified based on two parameters, at least the degree of nutritional interest of any patient and the degree of nutritional knowledge of the arbitrary patient, a person belonging to the segment of the arbitrary patient Storage means for storing segment-specific guidance data indicating medical-related guidance content for
The nutrition knowledge determined according to the percentage of correct answers in the answers to the questions related to the nutrition knowledge by the one patient and the correct answer ratio in the answers to the questions related to the nutrition knowledge by the one patient. Selection means for selecting one segment to which the one patient belongs from the plurality of segments based on the degree of
Extraction means for extracting the segment-specific instruction data for the selected one segment from the storage means;
A medical related guidance support system comprising: guidance data presentation means for presenting the extracted segment-specific guidance data to the one patient.   The storage means, as the plurality of segments, in addition to the two parameters, a plurality of segments classified based on at least one of the four parameters of sex, age, illness and meal content related to the arbitrary patient The medical-related instruction support system according to claim 1, wherein the instruction data for each segment is stored for each. Patient attribute data input means capable of inputting patient attribute data indicating the attribute of the one patient;
Correcting means for correcting the extracted segment-specific instruction data based on patient attribute data input via the patient attribute data input means;
The medical instruction guidance support system according to claim 1 or 2, wherein the instruction data presentation unit presents the corrected instruction data by segment. Action data of at least one of executable action data indicating an action executable or at least relatively difficult to execute by the one patient and unexecutable action data indicating an action impossible or at least relatively difficult to execute Action data input means capable of inputting
Correction means for correcting the extracted segment-specific instruction data based on at least one action data input via the action data input means; and
The medical instruction guidance support system according to any one of claims 1 to 3, wherein the instruction data presentation means presents the corrected instruction data by segment. A nutritional interest level determination means for determining a degree of the nutritional interest level according to a correct answer rate in an answer to a question related to the nutritional interest level by the one patient;
The nutrition knowledge level determination means for determining a degree of nutrition knowledge according to a correct answer rate in an answer to a question related to the nutrition knowledge by the one patient, further comprising: Medical related guidance support system as described in. A nutrition interest degree correct answer rate calculating means for calculating a correct answer rate in answers to the questions related to the nutrition interest;
The medical related guidance support system according to any one of claims 1 to 5, further comprising: a nutrition knowledge correct answer rate calculating unit that calculates a correct answer rate in an answer to a question related to the nutrition knowledge. A question presenting means for presenting the question related to the nutritional interest level and the question related to the nutritional knowledge to the one patient;
An answer input means capable of inputting an answer to the presented question by the one patient;
The medical-related guidance support system according to claim 6, wherein the correct answer rate calculating unit calculates a correct answer rate in an answer input through the answer input unit. The medical instruction guidance support according to any one of claims 1 to 7, wherein the instruction data presenting means presents segment data indicating a segment to which the one patient belongs together with the instruction data classified by segment. system. For each of a plurality of segments classified based on two parameters, at least the degree of nutritional interest of any patient and the degree of nutritional knowledge of the arbitrary patient, a person belonging to the segment of the arbitrary patient A medical-related instruction support method in a medical-related instruction support system comprising a storage means for storing instruction data according to segment, which indicates medical-related instruction contents for
The nutrition knowledge determined according to the percentage of correct answers in the answers to the questions related to the nutrition knowledge by the one patient and the correct answer ratio in the answers to the questions related to the nutrition knowledge by the one patient. Selecting a segment to which the one patient belongs from among the plurality of segments based on the degree of
An extraction step of extracting the segment-specific instruction data for the selected one segment from the storage means;
A medical-related guidance support method, comprising: a guidance data presentation step of presenting the extracted segment-specific guidance data to the one patient.   A computer program for causing a computer to function as the medical-related instruction support system according to any one of claims 1 to 8.

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