Computer program, information processing method, and information processing device

Abstract

Provided are a computer program, an information processing method, and an information processing device capable of improving reliability in assessment of low nutrition and reducing a data input burden on a user. The present invention causes a computer to execute a process for: acquiring first group data including data pertaining to the weight, data pertaining to the BMI, and data pertaining to the muscle mass of a subject, and second group data including data pertaining to the dietary intake and data pertaining to a medical condition of the subject; and determining, on the basis of the acquired first group data and second group data, the degree of hyponutrition of the subject from a plurality of degrees of hyponutrition representing the degree of food intake deficiency.

Description

Computer Program, Information Processing Method, and Information Processing Apparatus 【0001】 The present invention relates to a computer program, an information processing method, and an information processing apparatus. 【0002】 Patent Document 1 discloses a nutrition management system and a nutrition management method that can easily determine the required nutritional intake standard amount for an athlete by obtaining a standard intake standard amount, which is a reference amount of energy or nutrients based on the physical information of the athlete, and correcting the standard intake standard amount based on the competition information and the amount of exercise, which is the number of days of exercise per unit number of days. 【0003】 Japanese Patent Laid-Open No. 7-064963 【0004】 It is known that malnutrition, in which the required amounts of nutrients and energy for healthy living are not obtained, leads to a decrease in muscle mass and muscle strength throughout the body, which hinders daily activities, and also leads to mental changes such as a decrease in vitality. Therefore, it is necessary to accurately diagnose whether a person is malnourished. 【0005】 However, the diagnosis of malnutrition is based on a large amount of clinical data considering various diseases, which places a heavy burden on dietitians and others. Moreover, the more data there are, the greater the risk of diagnostic errors. However, the nutrition management system and nutrition management method of Patent Document 1 have not been devised to address such problems and cannot solve them. 【0006】 The present invention has been made in view of such circumstances, and an object thereof is to provide a computer program, an information processing method, and an information processing apparatus that can increase the reliability of malnutrition evaluation and reduce the burden of data input by users. 【0007】(1) A computer program according to one embodiment of the present disclosure acquires first group data including data on the subject's weight, BMI, and muscle mass, and second group data including data on the subject's dietary intake and medical condition, and causes the computer to perform a process to determine the degree of malnutrition of the subject from a plurality of malnutrition degrees representing the degree of insufficient food intake, based on the acquired first group data and second group data. 【0008】 (2) The computer program described in (1) above determines that the subject's degree of malnutrition is malnutrition if at least one of the first group data and the second group data satisfies the first condition, determines that the subject's degree of malnutrition is severe malnutrition if the first group data satisfies a second condition that is stricter than the first condition, and determines that the subject's degree of malnutrition is moderate malnutrition if the first group data does not satisfy the second condition. 【0009】 (3) The computer program described in (1) or (2) above determines the degree of malnutrition of the subject based on the acquired first group data and second group data if the result data obtained from the nutrition screening tool satisfies the third condition. 【0010】 (4) The computer program described in any one of (1) to (3) above obtains the first group data and second group data of the subject by reading the first group data and second group data corresponding to the subject from a storage unit that stores the first group data and second group data in association with subject identification information that identifies the subject. 【0011】(5) The computer program described in any one of (1) to (4) above determines the first condition by comparing each piece of data in the first group data and the second group data with a predetermined standard, outputs options representing the standard corresponding to each piece of data in the first group data and the second group data, and obtains the first group data and the second group data of the subject through the selection results of the options. 【0012】 (6) The computer program described in any one of (1) to (5) above outputs a code that combines a first value indicating whether or not the person is malnourished, a second value identified based on weight data, a third value identified based on BMI data, a fourth value identified based on muscle mass data, a fifth value identified based on dietary intake data, and a sixth value identified based on disease condition data. 【0013】 (7) The computer program described in any one of (1) to (6) above outputs the first condition and the second condition for determining malnutrition, moderate malnutrition and severe malnutrition in a list along with multiple criteria, outputs the criteria identified by the first group data and the second group data in a different manner from the criteria that have not been identified, and outputs the code and the determined degree of malnutrition along with the multiple criteria that have been output in a list. 【0014】 (8) The computer program described in any one of (1) to (7) above determines the second condition by comparing each data in the first group data with a predetermined standard, outputs candidate options representing the standard used to determine the second condition, and determines the second condition using the standard of the option related to the accepted selection. 【0015】(9) The computer program described in any one of (1) to (8) above outputs the multiple degrees of malnutrition and non-applicable information indicating that the person does not fall under any of the categories of malnutrition, moderate malnutrition, and severe malnutrition. If the third condition is met, the determined degree of malnutrition is output in a different form from the malnutrition degree that has not been determined. If the third condition is not met, the non-applicable information is output in a different form. Based on the first group data and the second group data, the computer program outputs information indicating whether the first condition is met for each item of weight, BMI, muscle mass, dietary intake, and disease status. 【0016】 (10) The computer program described in any one of (1) to (9) above outputs the risks related to nutritional status, the assessment of nutritional status and challenges, and the nutritional management plan by providing the language model with the first group data and the second group data, the determined degree of malnutrition, and prompts including commands to generate the risks related to nutritional status, the assessment of nutritional status and challenges, and the nutritional management plan. 【0017】 (11) The computer program described in any one of (1) to (10) above uses at least one of reduced digestive and absorptive capacity, disease burden, and inflammation to determine the degree of malnutrition. 【0018】 (12) An information processing method according to one embodiment of the present disclosure is provided by an information processing device which acquires first group data including data relating to the subject's weight, BMI, and muscle mass, and second group data including data relating to the subject's dietary intake and medical condition, and determines the degree of malnutrition of the subject from a plurality of malnutrition degrees representing the degree of insufficient food intake based on the acquired first group data and second group data. 【0019】(13) An information processing device according to one embodiment of the present disclosure includes a control unit, which acquires first group data including data relating to the subject's weight, BMI, and muscle mass, and second group data including data relating to the subject's dietary intake and medical condition, and determines the degree of malnutrition of the subject from a plurality of malnutrition degrees representing the degree of insufficient food intake based on the acquired first group data and second group data. 【0020】 According to the present invention, it is possible to provide a computer program, an information processing method, and an information processing device that can increase the reliability of malnutrition assessment and reduce the burden of data input on users. 【0021】 This is a functional block diagram showing an example configuration of an information processing device according to Embodiment 1. This is a flowchart explaining the process of creating a report based on the malnutrition severity determination result in the information processing device of Embodiment 1. This is an illustrative diagram showing an example of a data reception screen displayed on the display unit of the information processing device. This is an illustrative diagram showing an example of a report created by the information processing device of Embodiment 1. This is an illustrative diagram showing another example of a data reception screen displayed on the display unit of the information processing device. This is a functional block diagram showing an example configuration of an information processing device according to Embodiment 2. This is an explanatory diagram showing an example of a record layout of health data stored in the storage unit. This is a flowchart explaining the process of creating a nutrition management plan based on the malnutrition severity determination result in the information processing device of Embodiment 2. This is an illustrative diagram showing an example of a nutrition management plan created by the information processing device of Embodiment 2. This is an explanatory diagram conceptually showing an information processing device according to Embodiment 3. This is a functional block diagram showing an example configuration of a server device according to Embodiment 3. This is a flowchart explaining the process by which the information processing device according to Embodiment 3 outputs a predetermined document based on first group data and second group data from the user. This is an explanatory diagram conceptually showing prompts generated for document creation. This is an explanatory diagram conceptually showing a document output by a language model. 【0022】Below, a computer program, an information processing method, and an information processing apparatus according to embodiments of the present invention will be described in detail with reference to the drawings. 【0023】 (Embodiment 1) Figure 1 is a functional block diagram showing an example of the configuration of an information processing device 10 according to Embodiment 1. The information processing device 10 is, for example, a personal computer, and determines whether or not a subject is malnourished based on predetermined criteria, and if the subject is malnourished, it determines the severity of the subject's condition from a plurality of severity levels representing the degree of insufficient food intake. 【0024】 In the following explanation, we will use the GLIM (Global Leadership Initiative on Malnutrition) standard as an example of such a prescribed standard, but we are not limited to this, and other standards may be used as the prescribed standard. 【0025】 The information processing device 10 comprises a control unit 11, a storage unit 12, an input unit 14, a reading unit 16, and a display unit 17. Each component is connected via a bus. 【0026】 The control unit 11 includes one or more arithmetic processing units such as CPUs, MPUs (Micro-Processing Units), and GPUs (Graphics Processing Units), and uses built-in memory such as ROM (Read Only Memory) or RAM (Random Access Memory), a clock, counters, etc. to read and execute the control program P described later stored in the storage unit 12, thereby performing various information processing, control processing, etc. related to the information processing device 10. 【0027】The storage unit 12 includes non-volatile memory such as a hard disk, flash memory, or SSD (Solid State Drive). The storage unit 12 stores various computer programs and data that the control unit 11 references. The storage unit 12 stores a control program P that causes the computer to perform processing related to determining whether the subject is malnourished and determining the severity of the subject's condition. The storage unit 12 also temporarily stores data necessary for the control unit 11 to perform calculation processing. Furthermore, the storage unit 12 stores the report format, which will be described later. 【0028】 The input unit 14 is an interface that receives input from the user. The input unit 14 includes, for example, a keyboard, a mouse, and a touch panel device with a built-in display. For example, as described later, the input unit 14 receives input from the user of first group data related to phenotypic criteria and second group data related to etiology criteria. 【0029】 The reading unit 16 reads a portable storage medium 200a, including a CD (Compact Disc)-ROM or a DVD (Digital Versatile Disc)-ROM. The control unit 11 may read the control program P from the portable storage medium 200a via the reading unit 16 and store it in the storage unit 12. Alternatively, the control unit 11 may read the control program P from the semiconductor memory 200b. 【0030】 The display unit 17 is a liquid crystal display or an organic electroluminescent (EL) display, and displays various information according to the instructions of the control unit 11. For example, the display unit 17 displays a data reception screen (see Figure 3) for receiving the first group data and the second group data described above. 【0031】As described above, the information processing device 10 according to Embodiment 1 receives first group data and second group data relating to a subject from the user, determines whether the subject is malnourished or not based on the GLIM criteria (hereinafter referred to as "determination of malnutrition"), and if the subject is malnourished, determines the severity of the malnutrition, whether the subject is moderately malnourished or severely malnourished. That is, the information processing device 10 determines the degree of insufficient food intake of the subject from three malnutrition severity levels: malnutrition, moderate malnutrition, and severe malnutrition. For the sake of explanation, below, the determination of whether the subject is malnourished and the determination of whether the subject is moderately malnourished or severely malnourished will be collectively referred to as the determination of the severity of malnutrition. 【0032】 The information processing device 10 creates and outputs a report based on the malnutrition severity determination result. Figure 2 is a flowchart illustrating the process of creating a report based on the malnutrition severity determination result in the information processing device 10 of Embodiment 1. The determination of malnutrition severity based on the GLIM criteria is premised on the fact that a nutritional risk has been obtained through nutritional screening of the subject. That is, malnutrition severity is determined for the subject only if a nutritional risk has been determined through nutritional screening of the subject (third condition). 【0033】 Nutritional screening is performed using nutritional screening tools such as MUST (Malnutrition Universal Screening Tool), NRS (Nutritional Risk Screening)-2002, and MNA-SF (Mini-Nutritional Assessment Short Form). For the sake of explanation, in the following, we will assume that the subjects have been determined to have nutritional risks through nutritional screening. 【0034】The control unit 11 displays the data reception screen on the display unit 17 in order to receive the first group data and second group data of the subject from the user. The first group data is group data relating to multiple data items, including data relating to weight, data relating to BMI, and data relating to muscle mass. The second group data is group data relating to multiple data items, including data relating to dietary intake (such as dietary intake amount and digestive absorption capacity) and data relating to medical condition (such as disease burden and inflammation). On the display unit 17, the data reception screen displays the options for each item of the first group data and the second group data (step S101). 【0035】 Figure 3 is an illustrative diagram showing an example of a data reception screen displayed on the display unit 17 of the information processing device 10. In the data reception screen of Figure 3, the items "unintentional weight loss," "low BMI," and "muscle mass loss," which correspond to the items of the first group data, are listed as sub-items for "malnutrition diagnosis," and the items "decreased food intake / decreased digestive and absorptive capacity" and "disease burden / inflammation," which correspond to the items of the second group data, are listed. 【0036】 In the section on unintentional weight loss, the options ">5% / within 6 months" and ">10% / 6 months or more" are displayed. In the section on low BMI, the options "<18.5, under 70 years old" and "<20, 70 years old or older" are displayed. Furthermore, in the section on muscle mass loss, the option "Yes (<30.0 cm, male / <29.0 cm, female)" is displayed. Note that the numerical values ​​in the options for muscle mass loss are the measured length of the subject's lower leg circumference. 【0037】Furthermore, the parameters and cutoff values ​​for muscle mass reduction are not limited to those described above, and as disclosed at "https: / / www.jspen.or.jp / glim / glim_cutoffvalue", bioelectrical impedance analysis (BIA), dual-energy X-ray absorptiometry (DXA), and computerized tomography (CT) may also be used. 【0038】 Examples of cutoff values ​​for evaluating muscle mass loss using BIA include, for the limb skeletal muscle index, less than 7 kg / m2 for men and less than 5.7 kg / m2 for women; for the lean body mass index, less than 17 kg / m2 for men and less than 15 kg / m2 for women. Examples of cutoff values ​​for evaluating muscle mass loss using DXA include less than 7 kg / m2 for men and less than 5.4 kg / m2 for women. As an example of a cutoff value for evaluating muscle mass loss using CT, the Japanese Society of Hepatology's cutoff value for sarcopenia in liver disease, "men: <42 cm2 / m2, women: <38 cm2 / m2," can also be used. Other cutoff values ​​for evaluating muscle mass loss using CT include values ​​verified in Japanese cancer cases, "men: <36 cm2 / m2, women: <29 cm2 / m2" or "men: <36.2 cm2 / m2, women: <29.6 cm2 / m2." 【0039】 In addition to the examples mentioned above, another example of a cutoff value for calf circumference is the cutoff value for calf circumference presented by the GLIM criteria: "Male: <33 cm, Female: <32 cm (for obese adults, adjust by subtracting 3 cm for BMI 25-30 and 7 cm for BMI 30-40 from the measured value)." Furthermore, cutoff values ​​for calf circumference reported in studies targeting Japanese individuals may also be used. Such studies have reported "Male: <30 cm, Female: <29 cm" for acute care wards and "Male: <33 cm, Female: <32 cm" for rehabilitation wards. 【0040】In the section on decreased food intake / decreased digestive and absorptive capacity, the following options are displayed: "Food intake of 50% or less of required nutrients for more than one week," "Food intake of varying degrees for more than two weeks," and "Chronic gastrointestinal conditions that adversely affect digestion and absorption." In the section on disease burden / inflammation, the following options are displayed: "Inflammation due to acute illness or trauma" and "Inflammation due to chronic illness." 【0041】 Furthermore, the data reception screen lists items such as "unintentional weight loss," "low BMI," and "muscle mass loss" as sub-items for "severity assessment" in order to determine the severity of malnutrition in the subject, similar to the sub-items for "malnutrition diagnosis." However, the options for each item in "severity assessment" are different from the options for each item in "malnutrition diagnosis." 【0042】 In the section on unintentional weight loss, the options are displayed as ">10% / 6 months or less" and ">20% / 6 months or more". In the section on low BMI, the options are displayed as "><17.0, under 70 years old" and "><17.8, 70 years old or older". Furthermore, in the section on muscle mass loss, the options are displayed as "><27.0 cm, male / <26.0 cm, female". Thus, the severity of malnutrition in the subjects is determined by each option under stricter conditions than the standard malnutrition assessment, with the more severe the malnutrition, the better the degree of malnutrition. 【0043】 Furthermore, the data reception screen in Figure 3 displays a button labeled "Create GLIM Report" for receiving instructions to create a report based on the results of the malnutrition assessment and the severity assessment. For the sake of explanation, in the following, we will assume that the user has clicked the "Create GLIM Report" button. 【0044】 When the data reception screen is displayed on the display unit 17, the user selects an option by clicking the checkbox for each item using the input unit 14, and the control unit 11 accepts the selection of options for each item via the data reception screen (step S102). This identifies the first group data and second group data of the subject, and the control unit 11 accepts the input of the first group data and second group data from the user. 【0045】 In FIG. 3, for the sake of convenience of explanation, the check box of the option selected by the user is checked. That is, the control unit 11 receives first group data in which the item of "unintentional weight loss" is ">5% / within 6 months", the item of "low BMI" is "<18.5, under 70 years old", and the item of "muscle mass reduction" is not applicable, and receives second group data in which there is no corresponding item for "decrease in dietary intake / reduced digestive and absorptive function" and the item of "disease burden / inflammation" is "inflammation due to acute diseases or injuries". 【0046】 Next, the control unit 11 determines whether or not the first condition is satisfied based on the received first group data and second group data (step S103). By determining whether or not the first condition is satisfied, the control unit 11 determines whether or not the subject is malnourished, that is, determines the state of malnourishment. The first condition consists of options corresponding to each item of the first group data and the second group data in the "malnutrition diagnosis". When at least one of the options of each item of the first group data and the options of each item of the second group data is applicable, the first condition is satisfied. That is, each option represents the criterion of the first condition for each item of the first group data and the second group data respectively. 【0047】 When at least one of the options of "unintentional weight loss", "low BMI", and "muscle mass reduction" related to the first group data and at least one of the options of "decrease in dietary intake / reduced digestive and absorptive function" and "disease burden / inflammation" related to the second group data are selected in the "malnutrition diagnosis" of the data reception screen, the first condition is satisfied. 【0048】 When the control unit 11 determines that the first condition is not satisfied (step S103: NO), that is, when no option is selected for each item related to the first group data and the second group data, it determines that it does not correspond to malnourishment (step S108), stores such a determination result in the storage unit 12, and then advances the process to step S109. 【0049】Furthermore, if the control unit 11 determines that the first condition is met (step S103: YES), that is, if at least one option is selected from the options for each item related to the first group data and the second group data, it determines that the person is malnourished (step S104), and further determines whether the second condition is met (step S105). The control unit 11 determines the severity of the malnutrition of the person by determining whether the second condition is met. The second condition consists of options corresponding to each item of the first group data in the "severity determination," and the second condition is met if at least one of the options for each item of the first group data is applicable. In the second condition as well, each option represents a predetermined standard, and as described above, the standard (options) for the second condition is stricter than that for the first condition. 【0050】 For more details, the second condition is met if at least one of the options for the sub-items "unintentional weight loss," "low BMI," and "muscle mass loss" related to "severity assessment" on the data reception screen is selected. 【0051】 If the control unit 11 determines that the second condition is not met (step S105: NO), it determines the severity of the subject's malnutrition to be moderate malnutrition (step S106) and stores this determination result in the storage unit 12. If the control unit 11 determines that the second condition is met (step S105: YES), it determines the severity of the subject's malnutrition to be severe malnutrition (step S107) and stores this determination result in the storage unit 12. The process then proceeds to step S109. 【0052】Next, the control unit 11 generates a code that represents both the selection results of the options for each item in the subject's first group data and second group data, respectively, acquired via the data reception screen, and the determination result of whether the subject is malnourished (step S109). That is, as described above, since each option represents a predetermined standard, the code represents the result of comparison with the standard for each item in the subject's first group data and second group data, respectively. The generated code is temporarily stored in the storage unit 12. This code is a 6-digit code for nutritional information, Form 1, A004030, of the DPC (Diagnosis Procedure Combination) survey (based on the explanatory materials for the 2024 DPC evaluation and verification survey (discharged patient survey), as of May 31, 2024). 【0053】 The aforementioned code consists of, for example, a multi-digit number (for example, six digits). The first digit (first value) indicates whether or not the person is malnourished, i.e., the result of the malnutrition determination; the second digit (second value) is determined based on data related to body weight; the third digit (third value) is determined based on data related to BMI; the fourth digit (fourth value) is determined based on data related to muscle mass; the fifth digit (fifth value) is determined based on data related to dietary intake; and the sixth digit (sixth value) is determined based on data related to the disease state. 【0054】 Specifically, the first digit indicates that malnutrition is not present if it is "0", and that malnutrition is present if it is "1". The second digit corresponds to the "unintentional weight loss" category, where "0" indicates that weight loss is not present, "1" indicates that it falls under ">5% / within 6 months", and "2" indicates that it falls under ">10% / 6 months or more". The third digit corresponds to the "low BMI" category, where "0" indicates that BMI is normal, "1" indicates that it falls under "<18.5, under 70 years old", and "2" indicates that it falls under "<20, 70 years old or older". The fourth digit corresponds to the "muscle loss" category, where "0" indicates that muscle loss is not present, and "1" indicates that it is present (<30.0 cm, male / <29.0 cm, female)". 【0055】The fifth digit corresponds to the "Decreased Food Intake / Decreased Digestive Absorption" category. A value of "0" indicates that the condition does not apply, a value of "1" indicates that the condition is "food intake of 50% or less of the required nutrients for one week or more," a value of "2" indicates that the condition is "a decrease in food intake of varying degrees for two weeks or more," and a value of "3" indicates that the condition is "a chronic gastrointestinal condition that adversely affects digestion and absorption." The sixth digit corresponds to the "Disease Burden / Inflammation" category. A value of "0" indicates that the condition does not apply, a value of "1" indicates that the condition is "inflammation due to acute illness or injury," and a value of "2" indicates "inflammation due to chronic illness." 【0056】 In this embodiment, based on the first group data received in step S102, the control unit 11 determines in step S103 that the first condition is met and in step S104 that the person is malnourished, and then sets the first digit to "1", the second digit to "1", the third digit to "1", the fourth digit to "0", the fifth digit to "0", and the sixth digit to "1". 【0057】 Next, the control unit 11 creates a report that includes a list display showing the first and second conditions along with the criteria (options), the generated code, and the malnutrition severity determination result (step S110). Specifically, the control unit 11 writes the acquired first group data and second group data, the generated code, and the malnutrition severity determination result stored in the storage unit 12 into a report format that is pre-stored in the storage unit 12. 【0058】In the report, the first and second conditions are displayed in a list along with their corresponding criteria. Specifically, a table is displayed listing the criteria (options) related to the first condition for each item: "unintentional weight loss," "low BMI," and "muscle mass loss," and another table is displayed listing the criteria (options) related to the first condition for each item: "decreased food intake / decreased digestive and absorptive capacity" and "disease burden / inflammation." Furthermore, the criteria identified by the first group data and second group data received via the data reception screen are displayed differently from those that are not identified. The report also displays the code and the determined degree of malnutrition. 【0059】 Figure 4 is an illustrative diagram showing an example of a report created by the information processing device 10 of Embodiment 1. 【0060】 The report includes the names of the subjects, each item of the subject's Group 1 and Group 2 data received via the data reception screen, the options (criteria) for each item related to the first and second conditions, the results of the malnutrition assessment and severity assessment, and the generated code. 【0061】 More specifically, in the report, the malnutrition diagnosis items shown on the data reception screen are listed in a table called "phenotypic criteria," which includes sub-items for unintentional weight loss, low BMI, and muscle loss, along with corresponding options (criteria). For unintentional weight loss, the options ">5% / 6 months or less" and ">10% / 6 months or more" are displayed; for low BMI, the options "<18.5, under 70 years old" and "<20, 70 years old or older" are displayed; and for muscle loss, the option "Yes (<30.0 cm, male / <29.0 cm, female)" is displayed. A checkbox is provided in front of each option. The control unit 11 displays the options in a different manner from the unspecified options by checking the checkboxes of the options identified by the received first group data. 【0062】Furthermore, the report lists the sub-items of decreased food intake / decreased digestive and absorptive capacity and disease burden / inflammation, along with their corresponding options (criteria), in a table called "Etiological Criteria." For decreased food intake / decreased digestive and absorptive capacity, the options displayed are "Food intake of 50% or less of the required nutrients for more than one week," "Decreased food intake of varying degrees for more than two weeks," and "Chronic gastrointestinal conditions that adversely affect digestion and absorption." For the disease burden / inflammation item, the options displayed are "Inflammation due to acute disease or trauma" and "Inflammation due to chronic disease." A checkbox is provided in front of each option. The control unit 11 displays the options in a different manner from the unspecified options by checking the checkboxes of the options identified by the received second group data. 【0063】 Furthermore, the report displays the text, "One item or more from both the phenotypic criteria and the etiological criteria meets," which represents the first condition. In other words, as described above, the first condition is that at least one of the options from each item of the phenotypic criteria and each item of the etiological criteria meets the condition. 【0064】 Furthermore, the report displays a table listing the sub-items for unintentional weight loss, low BMI, and muscle mass loss, along with corresponding options (criteria), for the severity assessment items shown on the data reception screen. For unintentional weight loss, the options are displayed as ">10% / within 6 months" and ">20% / 6 months or more." For low BMI, the options are displayed as "><17.0, under 70 years old" and "><17.8, 70 years old or older." For muscle mass loss, the options are displayed as "><27.0 cm, male / <26.0 cm, female." A checkbox is provided in front of each option. The control unit 11 displays the options in a different manner from the unspecified options by checking the checkboxes of the options identified by the received first group data. 【0065】Furthermore, the report includes the following text, which represents the second condition: "If any of the three phenotypic criteria exceed the higher threshold value, the patient is judged to be severely malnourished; if none of the criteria apply, the patient is judged to be moderately malnourished." In other words, as described above, the second condition is that any one of the options for each item applies. 【0066】 The control unit 11 either displays the created report on the display unit 17 and outputs it, or sends it to an external printer connected to the information processing device 10 and prints it on paper (step S111). 【0067】 As described above, in the information processing device 10 of Embodiment 1, the first group data and second group data of the subject are obtained from the user via a data reception screen, and the degree of malnutrition (determination of whether or not the person is malnourished and determination of the severity) is determined based on the obtained first group data and second group data. Furthermore, the information processing device 10 generates a code that represents both the selection result of the options for each item in the obtained first group data and second group data, i.e., the comparison result with the criteria (options), and the determination result of whether or not the person is malnourished. The information processing device 10 then creates and outputs a report that includes the selection result of the options for each item in the obtained first group data and second group data, the generated code, and the determination result of the degree of malnutrition. 【0068】 Therefore, when evaluating the degree and severity of malnutrition in the subjects, it is possible to prevent errors in the evaluation process and increase the reliability of the evaluation results. In addition, since the data for the first group and the second group are obtained from the user via the data reception screen, the burden of data entry on the user is reduced. Furthermore, from the generated code, the comparison results with the criteria for each item in the data for the first group and the second group of subjects, as well as the results of the evaluation of the degree of malnutrition in the subjects, can be grasped at a glance. 【0069】In the information processing device 10 of Embodiment 1, the acquired first group data and second group data are used in accordance with the GLIM standards to determine whether malnutrition is present and the severity of the condition based on the first and second conditions. 【0070】 Assuming that the GLIM criteria will be introduced for the diagnosis of malnutrition in adults in the future, the information processing device 10 of Embodiment 1 can reduce the burden on dietitians and support the work of diagnosing malnutrition in accordance with the GLIM criteria. Furthermore, the code generated by the information processing device 10 of Embodiment 1 can also be used in applications for additional medical fees. 【0071】 In the above explanation, the control unit 11 has used the example of displaying specified and unspecified options in different ways by checking the checkboxes of the options, but it is not limited to this. For example, the checkbox of the specified option may be filled in, or the entire option may be highlighted. 【0072】 (Modification) Figure 5 is an illustrative diagram showing another example of the data reception screen displayed on the display unit 17 of the information processing device 10. In the data reception screen of Figure 5, similar to the data reception screen of Figure 3, the items "unintentional weight loss," "low BMI," and "muscle mass loss" related to the first group data are listed as sub-items for "malnutrition diagnosis," and the items "decreased food intake / decreased digestive and absorptive capacity" and "disease burden / inflammation" related to the second group data are listed. The options for each item have already been explained in Figure 3, so a detailed explanation is omitted here. 【0073】 Furthermore, the data reception screen in Figure 5 lists "unintentional weight loss," "low BMI," and "muscle mass loss" as sub-items for "severity assessment." 【0074】For the item "unintentional weight loss," the options ">10% / within 6 months" and ">20% / 6 months or more" are displayed, similar to the data reception screen in Figure 3. On the other hand, in the modified information processing device 10, the options for the sub-item "low BMI" are configured to be determined by the user. The user can select one option from several candidate options in the drop-down list, each with a different numerical range, as needed. For the sake of explanation, Figure 5 shows the state where the drop-down list for the sub-item "low BMI," i.e., the candidate options, are displayed. 【0075】 Furthermore, in the modified information processing device 10, the user is configured to select options for the sub-item of muscle mass reduction. The user can select one option from several candidates in the drop-down list, each with different criteria. For example, the drop-down list for the sub-item of muscle mass reduction displays criteria based on calf circumference, criteria based on BIA (Bioelectrical Impedance Analysis), criteria based on DXA (Dual energy X-ray Absorptiometry), criteria based on CT (Computerized Tomography), and criteria based on US (Ultrasonography). Figure 5 shows, for the sake of explanation, the state in which the drop-down list for the sub-item of muscle mass reduction, i.e., the candidate options, are displayed. 【0076】 Furthermore, the data reception screen in Figure 5 also displays a "Create GLIM Report" button, which allows users to request the creation of a report based on the malnutrition severity assessment results. 【0077】 In the modified information processing device 10, as described above, the user can specify the options for the sub-items low BMI and muscle loss. Therefore, it can accommodate differences in the criteria for low BMI or muscle loss depending on race, country, or region. 【0078】The above explanation uses the example of a case where the data reception screen is displayed on the display unit 17 of the information processing device 10, which is a personal computer, and the process for determining the degree of malnutrition is performed by the information processing device 10. However, the explanation is not limited to this. The display of the data reception screen and the process for determining the degree of malnutrition may be performed on the user's terminal device, or on an external server device and acquired via a network. 【0079】 Furthermore, the above explanation used the example of a case where a person's malnutrition is assessed only if they are determined to have a nutritional risk through nutritional screening, but this is not the only example. For instance, a person's malnutrition may be assessed without nutritional screening, or a person may be assessed for malnutrition even if they are determined to have no nutritional risk through nutritional screening. 【0080】 (Embodiment 2) Figure 6 is a functional block diagram showing an example of the configuration of the information processing device 10 according to Embodiment 2. 【0081】 The information processing device 10 according to Embodiment 2 includes a control unit 11, a storage unit 12, an input unit 14, a reading unit 16, and a display unit 17, similar to Embodiment 1. Since the components of the information processing device 10, excluding the storage unit 12, are the same as in Embodiment 1, only the storage unit 12 will be described below. 【0082】 The memory unit 12 stores various computer programs and data referenced by the control unit 11, and stores a control program P that causes the computer to perform processes related to determining whether a subject is malnourished and determining the severity of the subject's condition. The memory unit 12 also temporarily stores data necessary for the control unit 11 to perform calculations. Furthermore, the memory unit 12 stores a program that causes the computer to perform nutritional screening using the MUST assessment, and the format of the nutritional management plan. 【0083】Furthermore, the storage unit 12 stores health data 121 for multiple patients (subjects). The health data 121 stores various data, including the first group data and the second group data related to each patient, associated with identification information that identifies each patient. The storage unit 12 also stores predetermined criteria for determining the first and second conditions. These criteria are, for example, the same as the item-specific options displayed on the data reception screen shown in Figure 3. 【0084】 Figure 7 is an explanatory diagram showing an example of the record layout of health data 121 stored in the storage unit 12. 【0085】 As shown in Figure 7, the health data 121 stores information such as the patient's name, gender, and date of birth, as well as the name of the attending physician, height, and weight for several months. The health data 121 also stores data for such patients, including BMI, unintentional weight loss, muscle mass loss, decreased food intake / decreased digestive absorption, and disease burden / inflammation. For example, unintentional weight loss is obtained based on weight changes over a certain period in the weight column, and BMI is obtained based on weight (for the current month) and height. In addition, the health data 121 includes items for edema, food intake, dietary habits, and blood biochemistry tests. Such data can be obtained, for example, from body composition analyzer measurements or electronic medical records. For the sake of explanation, the health data 121 shown in Figure 7 will be referred to as raw data below. 【0086】 The information processing device 10 according to Embodiment 2, having the configuration described above, receives identification information of a subject from a user, obtains first group data and second group data pertaining to the subject from health data 121, and determines the degree of malnutrition of the subject based on the GLIM criteria. The information processing device 10 also creates and outputs a nutritional management plan based on the determination result of the degree of malnutrition. 【0087】Figure 8 is a flowchart illustrating the process of creating a nutritional management plan based on the malnutrition severity determination result in the information processing device 10 of Embodiment 2. In the following, using an example of health data 121 in Figure 7, we will explain the case where the malnutrition severity is determined based on the GLIM criteria, and assume that the MUST assessment is used as a nutritional screening tool for nutritional screening. 【0088】 For example, when a user inputs the name of the person to be identified using the input unit 14, the control unit 11 receives the identification information of the person to be identified from the user via the input unit 14 (step S201). 【0089】 Next, the control unit 11 reads and obtains data corresponding to the name of the person who has been received, which is necessary for the MUST evaluation, from the health data 121 and performs nutritional screening (step S202). 【0090】 The MUST assessment items are BMI, weight loss, acute illness, and nutritional deficiency. Therefore, the control unit 11 reads the data corresponding to item 6 (presence or absence of acute illness), item 8 (weight (for the current month)), item 9 (BMI), and item 12 (decreased food intake / decreased digestive and absorptive capacity) in the example shown in Figure 7, and performs the MUST assessment. In the MUST assessment, the risk is evaluated as low risk, moderate risk, or high risk based on the sum of the scores for each item. 【0091】 The control unit 11 determines whether or not there is a nutritional risk based on the results of the MUST assessment (step S203). For example, if the MUST assessment results in a high risk, the control unit 11 determines that there is a nutritional risk. However, it is not limited to this, and the system may be configured to determine that there is a nutritional risk even if the assessment results in a moderate risk. 【0092】If the control unit 11 determines that there is no nutritional risk (step S203: NO), it stores this determination result in the storage unit 12 and proceeds to the process in step S210, where it determines that the subject does not qualify as malnourished (step S210). If the control unit 11 determines that there is a nutritional risk (step S203: YES), it stores this determination result in the storage unit 12. Subsequently, the control unit 11 acquires the subject's first group data and second group data in order to determine whether or not malnutrition is present and the severity of the malnutrition based on the GLIM criteria (step S204). 【0093】 In more detail, the control unit 11 reads data corresponding to the name of the subject received in step S201 from the health data 121, and identifies the first group data and the second group data based on the read data. 【0094】 Specifically, in the example shown in Figure 7, the control unit 11 reads raw data corresponding to items 3 (gender), 4 (age), 9 (BMI), 10 (unintentional weight loss), and 11 (muscle mass loss), and identifies "unintentional weight loss," "low BMI," and "muscle mass loss" related to the first group data based on this raw data. The control unit 11 also reads raw data corresponding to items 12 (decreased food intake / decreased digestive absorption) and 13 (disease burden / inflammation), and identifies "decreased food intake / decreased digestive absorption" and "disease burden / inflammation" related to the second group data based on this raw data. The first group data and second group data obtained in this way are stored in the storage unit 12. 【0095】 Next, the control unit 11 determines whether the first condition is met based on the acquired first group data and second group data (step S205). 【0096】The processing in steps S205 to S210 is the same as the processing in steps S103 to S108 in Figure 2 of Embodiment 1. That is, in steps S205 to S210, the data for each item of the acquired first group data and second group data are compared with the same criteria as the selections on the data reception screen (see Figure 3) stored in the storage unit 12, and the first and second conditions described above are determined, thereby determining whether or not the patient is malnourished and determining the severity of the condition. Steps S103 to S108 have already been explained, so a detailed explanation of the processing in steps S205 to S210 will be omitted. 【0097】 Once the determination of whether or not a patient is malnourished and the determination of the severity of malnutrition are completed through the processing up to step S210, the control unit 11 creates a nutritional management plan including the acquired first group data and second group data, the determination results of whether or not a patient is malnourished, and the determination results of the severity of malnutrition (step S211). Specifically, the control unit 11 writes the health data (raw data), the acquired first group data and second group data, the determination results of whether or not a patient is malnourished, and the determination results of the severity of malnutrition, which are stored in the storage unit 12, into a nutritional management plan format that is pre-stored in the storage unit 12. 【0098】 Furthermore, the control unit 11 either displays the created nutritional management plan on the display unit 17 and outputs it, or sends it to an external printer connected to the information processing device 10 and prints it on paper (step S212). 【0099】 Figure 9 is an illustrative diagram showing an example of a nutritional management plan created by the information processing device 10 of Embodiment 2. 【0100】 The nutritional management plan includes the patient's ID, name, gender, date of birth, date of admission, and the name of the attending physician. It also includes a section titled "Risks related to nutritional status at admission," which lists items such as the patient's illness, height, weight, BMI, weight loss (yes / no), and muscle mass loss (yes / no). 【0101】Furthermore, the nutritional management plan includes a section titled "Assessment of Nutritional Status and Issues." This section includes "Assessment based on GLIM criteria" and "Applicable Items," which have sub-items such as phenotype and etiology. 【0102】 The [Evaluation based on GLIM criteria] section displays checkbox options for malnutrition, moderate malnutrition, and severe malnutrition, as well as a checkbox option for not being malnourished, indicating that the individual does not fall into any of the categories of malnutrition, moderate malnutrition, or severe malnutrition. If the third condition is met, the control unit 11 checks one of the checkboxes for malnutrition, moderate malnutrition, or severe malnutrition, and displays the malnutrition severity related to the judgment result and the other malnutrition severity in different ways. If the third condition is not met, the control unit 11 checks the checkbox for the not being malnourished option. 【0103】 In the "Applicable Items" section, checkboxes are displayed for phenotype, including unintentional weight loss, low BMI, and muscle loss, and for etiology, checkboxes are displayed for decreased food intake / decreased digestive and absorptive capacity and disease burden / inflammation. Based on the acquired first group data and the second group data, the control unit 11 checks the checkbox for any of these options to indicate whether the first condition is met for each item of weight, BMI, muscle mass, food intake, and disease status. 【0104】 In other words, the control unit 11 can display the criteria and comparison results for each item in the data for the first group and the data for the second group of subjects by checking one of the checkboxes. 【0105】As described above, in the information processing device 10 of Embodiment 2, the device receives identification information of the subject from the user, and based on this identification information, it obtains the subject's first group data and second group data from the storage unit 12 (health data 121) to determine the degree of malnutrition. Furthermore, the information processing device 10 creates and outputs a nutritional management plan based on the obtained subject's first group data and second group data and the malnutrition determination result. 【0106】 Therefore, in the information processing device 10 of Embodiment 2, when evaluating the degree of malnutrition and the severity of the condition of the subject, the user does not need to input the first group data and the second group data, and a highly reliable evaluation result can be easily obtained. 【0107】 The information processing device 10 of Embodiment 2 is not limited to the above description, and the nutrition management plan may include the code described in Embodiment 1. 【0108】 Parts similar to those in Embodiment 1 are denoted by the same reference numerals, and detailed descriptions are omitted. 【0109】 (Embodiment 3) Figure 10 is a conceptual diagram illustrating the information processing device 10 according to Embodiment 3. In this embodiment, reference numeral 20 denotes a server device. The information processing device 10 is connected to the server device 20 via a network N including a wireless LAN (Local Area Network) and the Internet. The server device 20 is, for example, a server computer, a personal computer, or a quantum computer. 【0110】 The information processing device 10 according to Embodiment 3 includes a control unit 11, a storage unit 12, an input unit 14, a reading unit 16, and a display unit 17, similar to Embodiment 1. Since the components of this information processing device 10 are the same as those in Embodiment 1, a detailed explanation will be omitted. 【0111】The information processing device 10 according to Embodiment 3 further includes a communication unit 15. The communication unit 15 performs data communication with the server device 20, for example, via a network N. For example, the communication unit 15 sends a prompt to the server device 20 for creating a document, which will be described later. 【0112】 Figure 11 is a functional block diagram showing an example configuration of a server device 20 according to Embodiment 3. The server device 20 according to Embodiment 3 includes a control unit 21, a storage unit 22, a communication unit 23, a reading unit 24, and a large-capacity storage unit 25. Each component is connected via a bus. 【0113】 The control unit 21 includes a processing unit such as a CPU, MPU, and GPU, and performs various information processing and control processing related to the server device 20 by reading and executing the control program P2 stored in the storage unit 22. The control program P2 can be deployed on a single computer or at one site, or distributed across multiple sites and executed on multiple computers interconnected by a communication network. In this embodiment, the control unit 21 is described as a single processor, but it may be a multiprocessor. 【0114】 The storage unit 22 includes memory elements such as RAM and ROM, and stores the control program P2 or data necessary for the control unit 21 to execute processing. The storage unit 22 also temporarily stores data necessary for the control unit 21 to execute arithmetic processing. 【0115】 The communication unit 23 communicates data with the information processing device 10, for example, via the network N. For example, the communication unit 23 receives a prompt from the information processing device 10 and transmits the acquired document to the information processing device 10. 【0116】The reading unit 24 reads a portable storage medium 200a, including a CD-ROM or DVD-ROM. The control unit 21 may read the control program P2 from the portable storage medium 200a via the reading unit 24 and store it in the large-capacity storage unit 25. Alternatively, the control unit 21 may download the control program P2 from another computer via a network N or the like and store it in the large-capacity storage unit 25. Furthermore, the control unit 21 may read the control program P2 from the semiconductor memory 200b. 【0117】 The large-capacity storage unit 25 includes recording media such as an HDD (Hard disk drive) or an SSD (Solid State Drive). The language model 251 is stored in the large-capacity storage unit 25. 【0118】 The language model 251 is a finely tuned large language model (LLM / Large Language Model), and examples of language models that can be used for the language model 251 include BERT (Bidirectional Encoder Representations from Transformers), Transformer, GPT (Generative Pre-trained Transformer)-3, GPT-4, LLaMA (Large Language Model Meta AI), PaLM (Pathways Language Model)2, etc. 【0119】 Furthermore, fine-tuning of the language model 251 can be done by fine-tuning the entire model, or by fine-tuning only the parameters of a portion of the model using techniques such as Low-Rank Adaptation (LoRA). 【0120】 The language model 251 accepts prompt input and outputs documents such as reports and nutritional management plans. The prompts are generated by the information processing device 10 and received via the network N. 【0121】The information processing device 10 according to Embodiment 3 receives first group data and second group data relating to the target person from the user, determines the degree of malnutrition based on the GLIM standard, and outputs a predetermined document based on the determination result of the degree of malnutrition. 【0122】 Figure 12 is a flowchart illustrating the process by which the information processing device 10 according to Embodiment 3 outputs a predetermined document based on first group data and second group data from the user. 【0123】 First, the control unit 11 receives subject information from the user, such as the subject's ID, name, gender, date of birth, age, and the name of the attending physician (step S301). For example, the control unit 11 receives the subject information when the user inputs it using the input unit 14. 【0124】 Next, the control unit 11 receives first group data and second group data of the subject from the user (step S302). Specifically, the control unit 11 displays a data reception screen (see Figure 3) on the display unit 17. As shown in Figure 3, the display unit 17 lists the items for the first group data, namely "unintentional weight loss," "low BMI," and "muscle mass loss," and lists the items for the second group data, namely "decreased food intake / decreased digestive and absorptive capacity" and "disease burden / inflammation," with one or more options displayed for each item. 【0125】 When the data reception screen is displayed on the display unit 17, the user selects one of the options for each item using the input unit 14, and the control unit 11 accepts the selection of the option for each item via the data reception screen. In this way, the control unit 11 receives input of first group data and second group data from the user. 【0126】 Furthermore, the display unit 17 determines whether or not the patient is malnourished and the severity of the malnutrition (determination of the degree of malnutrition) (step S303). The processes for determining whether or not the patient is malnourished and determining the severity of the malnutrition are steps S103 to S108 in Figure 2, and a detailed explanation is omitted. 【0127】Once the determination results for malnutrition and the determination results for severity are obtained, the control unit 11 generates a prompt for document creation that includes the received subject information, the received first group data and second group data, the determined degree of malnutrition, and commands to generate "Risks related to nutritional status," "Evaluation and challenges of nutritional status," and "Nutritional management plan" (step S304). 【0128】 Figure 13 is a conceptual diagram illustrating the prompts generated for document creation. For the sake of clarity, Figure 13 illustrates the case where such a document is a nutritional management plan. 【0129】 For example, the control unit 21 generates the following prompt to create a nutrition management plan: "Based on the subject information below, the result of the malnutrition assessment, the result of the severity assessment, and the first and second data, please create a nutrition management plan that includes the items of "Risks related to nutritional status," "Evaluation and challenges of nutritional status," and "Nutritional management plan." *Subject information: ID (○○○), Name (△▼▼), Gender (Male), Date of birth (×× / ×× / ××), Age (◇◇◇), Name of attending physician (☆☆☆) *Result of malnutrition assessment: Malnutrition *Result of severity assessment: Severe malnutrition *First data: Unintentional weight loss (>5% / within 6 months), Low BMI (<18.5, under 70 years old), Muscle mass reduction (Not applicable) *Second data: Decreased food intake / Decreased digestive and absorptive capacity (Not applicable), Disease burden / Inflammation (Inflammation due to acute disease or trauma) Furthermore, the nutrition management plan must meet the following conditions. 1. 1. The "Nutritional Status Risks" section includes sub-items: "Evaluation based on GLIM criteria" and "Risk." 2. The "Evaluation based on GLIM criteria" section further includes "<Judgment>" and "<Applicable Items>." 3. The "<Judgment>" section includes checkbox options for malnutrition, moderate malnutrition, severe malnutrition, and not malnutrition. Check the box according to the malnutrition assessment result and the severity assessment result. 4. The "<Applicable Items>" section includes checkbox options for phenotypes such as unintentional weight loss, low BMI, and muscle loss, and checkbox options for etiology such as decreased food intake / decreased digestive and absorptive capacity and disease burden / inflammation. Check the box according to the first and second data. 【0130】 The above explanation uses the example of the control unit 11 generating a prompt for document creation, but it is not limited to this, and the user may also input using the input unit 14. 【0131】 When a prompt is generated, the control unit 11 transmits the generated prompt to the server device 20 via the communication unit 15 (step S305). Such a prompt is received by the communication unit 23 of the server device 20 (step S401). 【0132】 The control unit 21 inputs the received prompt to the language model 251 (step S402). Upon receiving the prompt, the language model 251 generates and outputs a document based on the prompt. As a result, the control unit 21 acquires the document (step S403). 【0133】 Figure 14 is an explanatory diagram illustrating the conceptual nature of the document output by the language model 251. For ease of explanation, Figure 14 shows an example of a nutritional management plan generated based on the prompts in Figure 13. 【0134】 In response to the prompt, the nutritional management plan output from language model 251 includes the sections "Assessment of Nutritional Status and Risks," "Assessment of Nutritional Status and Issues," and "Nutritional Management Plan." The "Assessment of Nutritional Status and Risks" section includes the sub-sections "Assessment according to GLIM criteria" and "Risk." 【0135】 The "Evaluation based on GLIM criteria" further includes <Judgment> and <Applicable Items>. <Judgment> displays checkbox options for malnutrition, moderate malnutrition, and severe malnutrition, as well as a checkbox option for not malnutrition, indicating that the individual does not fall into any of the three categories. If the third condition is met, one of the checkboxes for malnutrition, moderate malnutrition, or severe malnutrition will be checked, and the degree of malnutrition related to the judgment result will be displayed differently from the other degrees of malnutrition. If the third condition is not met, the checkbox for not malnutrition will be checked. 【0136】 In the "Applicable Items" section, checkboxes are displayed for phenotype, including unintentional weight loss, low BMI, and muscle loss, and for etiology, including decreased food intake / impaired digestive and absorptive capacity and disease burden / inflammation. By checking the checkbox for any of these options based on the first group data and the second group data received from the user, it is displayed whether the first condition is met for each item of weight, BMI, muscle mass, food intake, and disease status. 【0137】 As described above, when the control unit 21 acquires a document, the communication unit 23 transmits the acquired document to the information processing device 10 via the network N at the instruction of the control unit 21 (step S404), and the communication unit 15 of the information processing device 10 receives the document (step S306). 【0138】 When a document is received from the server device 20, the control unit 11 of the information processing device 10 displays the received document on the display unit 17 and outputs it (step S307). 【0139】 As described above, the information processing device 10 generates prompts based on the subject information received from the user, the first group data and the second group data, and the results of the malnutrition determination and severity determination based on the first group data and the second group data. The server device 20 creates a nutritional management plan according to these prompts, and the information processing device 10 can obtain this nutritional management plan from the server device 20. Therefore, in the information processing device 10 of Embodiment 3, the user can easily obtain a highly reliable nutritional management plan. 【0140】In the above description, we have explained the case in which the server device 20 has a language model 251 and the language model 251 generates a document (for example, a nutrition management plan), but we are not limited to this. For example, the information processing device 10 may be configured to store a Small Language Model (SLM) that has been fine-tuned for the creation of a nutrition management plan in the storage unit 12 of the information processing device 10, and to create a nutrition management plan by performing the processing of steps S402 to S404 in Figure 12 using such an SLM. 【0141】 The present invention is not limited to the above description. For example, the processes from steps S201 to S203 in Figure 8 of Embodiment 2 may be incorporated before step S101 in Figure 2 of Embodiment 1, and executed as a series of processes with the processes from steps S101 to S111 in Figure 2 of Embodiment 1. 【0142】 The technical features (constituent elements) described in Embodiments 1 to 3 are combinable with each other, and by combining them, new technical features can be formed. The embodiments disclosed herein should be considered in all respects to be illustrative and not restrictive. The scope of the present invention is indicated by the claims, not in the sense described above, and all modifications within the sense and scope equivalent to the claims are intended to be included. 【0143】 The matters described in each embodiment can be combined with each other. Furthermore, the independent and dependent claims described in the claims can be combined with each other in any combination, regardless of the form of reference. In addition, the claims use a form in which claims referencing two or more other claims (multi-claim form), but are not limited to this. A form in which multi-claims referencing at least one multi-claim (multi-multi-claim) may also be used. 【0144】 10 Information processing device 11, 21 Control unit 12 Storage unit 17 Display unit 20 Server device 251 Language model

Claims

1. A computer program that obtains first group data including data on the subject's weight, BMI, and muscle mass, and second group data including data on the subject's dietary intake and medical condition, and causes the computer to perform a process to determine the subject's degree of malnutrition from a plurality of malnutrition degrees representing the degree of insufficient food intake, based on the obtained first group data and second group data.

2. The computer program according to claim 1, wherein if at least one of the first group data and the second group data satisfies the first condition, the degree of malnutrition of the subject is determined to be malnutrition; if the first group data satisfies a second condition that is stricter than the first condition, the degree of malnutrition of the subject is determined to be severe malnutrition; and if the first group data does not satisfy the second condition, the degree of malnutrition of the subject is determined to be moderate malnutrition.

3. The computer program according to claim 2, which determines the degree of malnutrition of the subject based on the acquired first group data and second group data when the result data obtained from the nutrition screening tool satisfies the third condition.

4. The computer program according to claim 1, which acquires the first group data and the second group data of a subject by reading the first group data and the second group data corresponding to the subject from a storage unit that stores the first group data and the second group data in association with subject identification information that identifies the subject.

5. The computer program according to claim 2, wherein the determination of the first condition is performed by comparing each data in the first group data and the second group data with a predetermined criterion, outputs options representing the criterion corresponding to each data in the first group data and the second group data, and obtains the first group data and the second group data of the subject through the selection results for the options.

6. The computer program according to claim 2, which outputs a code that combines a first value indicating whether or not the person is malnourished, a second value identified based on data relating to body weight, a third value identified based on data relating to BMI, a fourth value identified based on data relating to muscle mass, a fifth value identified based on data relating to dietary intake, and a sixth value identified based on data relating to the patient's medical condition.

7. A computer program according to claim 6, which outputs a list of the first and second conditions for determining malnutrition, moderate malnutrition, and severe malnutrition, along with a plurality of criteria, outputs the criteria identified by the first group data and the second group data in a different manner from the criteria that have not been identified, and outputs the code and the determined degree of malnutrition along with the plurality of criteria that have been output in a list.

8. The computer program according to claim 2, wherein the determination of the second condition is performed by comparing each data in the first group data with a predetermined criterion, outputs candidate options representing the criterion used to determine the second condition, and determines the second condition using the criterion of the accepted option.

9. A computer program according to claim 3, which outputs the plurality of malnutrition degrees and non-applicable information indicating that the individual does not fall under any of the categories of malnutrition, moderate malnutrition, and severe malnutrition; outputs the determined malnutrition degree in a different format from the undetermined malnutrition degree when the third condition is met; outputs the non-applicable information in a different format when the third condition is not met; and outputs information on whether the first condition is met for each item of weight, BMI, muscle mass, dietary intake, and disease status, based on the first group data and the second group data.

10. A computer program according to claim 1, which outputs a nutritional risk, nutritional assessment and challenges, and a nutritional management plan by providing a language model with the first group data and the second group data, the determined degree of malnutrition, and prompts including a command to generate a nutritional risk, a nutritional assessment and challenges, and a nutritional management plan.

11. A computer program according to any one of claims 1 to 10, wherein at least one of reduced digestive and absorptive capacity, disease burden, and inflammation is used to determine the degree of malnutrition.

12. An information processing method comprising an information processing device that acquires first group data including data on the subject's weight, BMI, and muscle mass, and second group data including data on the subject's dietary intake and medical condition, and determining the degree of malnutrition of the subject from a plurality of malnutrition degrees representing the degree of insufficient food intake based on the acquired first group data and second group data.

13. An information processing device comprising a control unit, wherein the control unit acquires first group data including data on the subject's weight, BMI, and muscle mass, and second group data including data on the subject's dietary intake and medical condition, and determines the subject's degree of malnutrition from a plurality of malnutrition degrees representing the degree of insufficient food intake based on the acquired first group data and second group data.

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