Information processing device, information processing method, and program

Abstract

To solve organizational challenges by improving the accuracy of assessing the state of the organization The present invention provides an information processing device capable of generating an effective action plan. The information processing device stores at least biometric data of multiple members belonging to an organization. The analysis part evaluates the state of the tissue by analyzing the data, and the analysis part evaluates the state of the tissue based on the evaluation results. and a generating unit that generates a first action plan for solving the organization's problem. The data includes biological data that indicates biological information extracted from the biological sample of the member. nothing.

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] The information processing device described in Patent Document 1 is configured to process information input by a user on a terminal device. a first acquisition unit that acquires information indicating the motivation of a user from responses to a survey; The first method acquires information indicating the user's health condition acquired by the terminal device. The acquisition unit 2 acquires information indicating the user's motivation and the user's health condition. a calculation unit for calculating an index associated with the organization based on information indicating the organization; As a result, the indicators that take the user's motivation into consideration are visualized. can.

[0003] The condition information is calculated by pulse wave variability analysis or heart rate variability analysis. Includes vital data such as neurological indicators, respiratory rate, oxygen saturation, blood pressure, weight, and body composition. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2024-135377 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the information processing device described in Patent Document 1 does not collect information such as vital data. However, the resolution of the information provided may be low as an index for assessing the condition of an individual. This may result in a less accurate assessment of an individual's condition.

[0006] For example, using vital data can help identify the root cause of an individual's issues. In other words, vital data cannot provide detailed information about life, such as nutritional deficiencies and the accumulation of toxins in the body. These biochemical factors are not able to identify the chemical causes of poor concentration and fatigue in individuals. This can be the root cause of various ailments such as lack of energy.

[0007] Since an organization is a collection of individuals, if the resolution of indicators to evaluate the status of individuals is low, The accuracy of assessment of the state of the tissue to which an individual belongs is reduced. For example, detailed biochemical If the contributing factors cannot be identified, the root causes of individual challenges that may cause organizational challenges As a result, the root causes of organizational issues cannot be identified. It can be difficult to generate an effective action plan to resolve the issue.

[0008] Therefore, the present disclosure has been made in consideration of the above problems, and its purpose is to By improving the accuracy of your assessments, you can develop effective action plans to solve organizational challenges. The present invention provides an information processing device, an information processing method, and a program that can generate such information. [Means for solving the problem]

[0009] According to the present disclosure, at least the biological data of a plurality of members belonging to an organization is analyzed. and an analysis unit that evaluates the state of the tissue by performing the analysis. a generator for generating a first action plan for solving the problem of the tissue, The related data is biological data indicating biological information extracted from the biological sample of the member. It is possible to provide an information processing device including the data.

[0010] According to the present disclosure, a computer is configured to at least record the biometric information of a plurality of members belonging to an organization. evaluating the state of the tissue by analyzing the serial data; a first action plan for solving the organization's problems based on the results of the assessment of the organization's state; and generating the bio-related data from a biosample of the member. It is possible to provide an information processing method including biological data indicating extracted biological information.

[0011] According to the present disclosure, a computer is provided that stores at least the biometric information of a plurality of members belonging to an organization. evaluating the state of the tissue by analyzing the associated data; generating a first action plan for solving the organizational problem based on the evaluation results; , and the biometric-related data is biometric information extracted from a biometric sample of the member. A program including biological data showing the above can be provided. [Effects of the Invention]

[0012] According to the present disclosure, the accuracy of assessing the state of a tissue is improved, thereby solving the problems of the tissue. Generate effective action plans to resolve issues. [Brief explanation of the drawings]

[0013] [Figure 1] 1 is a diagram illustrating an example of the configuration of a support system according to an embodiment of the present invention. [Figure 2] FIG. 2 is a block diagram illustrating an example of the configuration of an information processing device according to the embodiment. [Figure 3]1A is a schematic diagram showing biological-related data according to the embodiment, and FIG. 1B is a schematic diagram showing mind-related data according to the embodiment. [Figure 4] FIG. 10 is a diagram illustrating an example of an operation of the information processing device according to the embodiment. [Figure 5] FIG. 10 is a diagram showing an example of an organizational action plan according to the embodiment. [Figure 6] FIG. 10 is a diagram illustrating an example of an organizational root cause map according to the embodiment. [Figure 7] FIG. 10 is a diagram showing an example of an organization evaluation report according to the embodiment. [Figure 8] FIG. 10 is a diagram showing an example of a group of action plan candidates for generating an organizational action plan according to the embodiment. [Figure 9] FIG. 10 is a diagram showing an example of an individual action plan according to the embodiment. [Figure 10] FIG. 10 is a diagram showing an example of an individual root cause map according to the embodiment. [Figure 11] FIG. 10 is a diagram showing an example of a personal evaluation report according to the embodiment. [Figure 12] FIG. 10 is a diagram showing an example of a group of action plan candidates for generating an individual action plan according to the embodiment. [Figure 13] 10 is a schematic diagram showing an example of self-evaluation data of bio-related data according to the embodiment; FIG. [Figure 14] FIG. 2 is a schematic diagram showing an example of biological data of living body-related data according to the embodiment. [Figure 15] FIG. 10 is a schematic diagram showing an example of analysis logic information for biological data according to the embodiment. [Figure 16] 10 is a schematic diagram showing an example of analysis logic information for self-assessment data and biological data according to the embodiment. FIG. [Figure 17] FIG. 10 is a schematic diagram showing an example of thinking tendency data of mind-related data according to the embodiment. [Figure 18] FIG. 10 is a diagram showing an example of an analysis logic table for thinking tendency data according to the embodiment. [Figure 19]FIG. 10 is a schematic diagram showing an example of behavioral tendency data of mind data according to the embodiment. [Figure 20] 1A is a schematic diagram showing an example of analysis logic information according to the embodiment, and FIG. 1B is a schematic diagram showing an example of an analysis logic table according to the embodiment. [Figure 21] FIG. 10 is a schematic diagram showing an example of interview data according to the embodiment. [Figure 22] 10 is a flowchart illustrating an example of an information processing method for an organization according to the embodiment. [Figure 23] 10 is a flowchart illustrating an example of an information processing method for members according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configuration are referred to as , the same reference numerals are used to avoid redundant explanation.

[0015] FIG. 1 is a diagram showing an example of the configuration of a support system SYS according to an embodiment of the present invention. System SYS (information processing system 1) evaluates the status of the organization and its members, and Generate action plans to solve problems for members and the organization.

[0016] The organization is not particularly limited, but may be, for example, a company, an organization, or an institution (e.g., a medical institution, a research institution, etc.). An organization may be, for example, a profit-making organization or a non-profit organization. An organization can be a group as long as it has multiple members. It can be a department formed within a company, or a team such as a sports team. The organizational challenges are: For example, worsening turnover rates, increasing number of employees on leave, lack of leadership talent, a passive organizational culture, and declining sales This is more than one of the reasons for the sluggish growth (Figure 6).

[0017] As shown in FIG. 1, the support system SYS includes an information processing system 1 and one or more organizational terminals. T1, one or more member terminals T2, a doctor terminal T3, a health coach terminal T4, and a main The information processing system 1 includes an information processing device 100 and a biometrics-related The organization terminal T includes a database device 200 and a mind-related database device 300. 1, Member terminal T2, Doctor terminal T3, Health coach terminal T4, Mind coach terminal T5, An information processing device 100, a biological-related database device 200, and a mind-related database device The network device 300 is connected to a network NW. The network NW is, for example, an internet - Internet, LAN (Local Area Network), public telephone network, closed area network, and and short-range wireless networks.

[0018] The organization terminal T1 is a terminal assigned to a member who is in charge of running or managing the organization. The members who are responsible for the operation or management of the organization may be, for example, members of the management, upper management, or human resources department. The member terminal T2 is assigned individually to the member of the organization and is the terminal used by the member. It is the end.

[0019] The doctor terminal T3 is a terminal used by a doctor. The doctor terminal T3 is, for example, a terminal used by a doctor in a hospital or a clinic. The health coach terminal T4 is a terminal used by health coaches. The health coach follows the individual action plan generated by the information processing device 100. The health coach will support the physical health of the members through the health coach terminal T4. A health coach is someone who specializes in, for example, nutrition and exercise. The Mind Coach Terminal T5 is a terminal used by the Mind Coach. The mind coach, for example, follows the organizational action plan generated by the information processing device 100. From a psychological perspective, a mind coach supports members who are responsible for running or managing an organization. , for example, experts in cognitive psychology and / or behavioral psychology. Individual members may be supported through individual action plans.

[0020] Cognitive psychology is the study of mental processes such as perception, memory, judgment, and decision-making based on human cognitive functions. It is a science that scientifically elucidates (for example, thought patterns).

[0021] Behavioral psychology is the analysis and implementation of observable behavior based on human psychological or mental factors. Scientifically clarify the mechanisms that generate behavior and the mechanisms that change behavior (e.g., behavioral tendencies) It's about academics.

[0022] Organization terminal T1, member terminal T2, doctor terminal T3, health coach terminal T4, and Mine The DoCoach Terminal T5 is compatible with personal computers such as desktop and laptop computers. The device may be a computer, or a mobile device such as a tablet or smartphone.

[0023] Hereinafter, the organization terminal T1, the member terminal T2, the doctor terminal T3, the health coach terminal T4, or The transmission of information or data to the Mind Coach terminal T5 may be performed, for example, from the organization terminal T1, the member terminal T2, or the like. The terminal T2, doctor terminal T3, health coach terminal T4, or mind coach terminal T5 is accessed. This includes placing information or data on a cloud (server) so that it can be accessed. The transmission of information or data to the information processing device 100 is performed, for example, when the information processing device 100 is activated. This includes placing information or data on the cloud (on a server) so that it can be accessed.

[0024] The biological-related database device 200 stores biological-related data. The mind-related database device 300 includes biological data of the members. The mind-related data includes the mind data of each member. The relational database device 200 and the mind-related database device 300 are, for example, It is a database server.

[0025] The information processing device 100 collects at least the biological data of multiple members belonging to an organization. Based on the results of the analysis, an action plan to solve the organizational issues (hereinafter referred to as "organizational action plan") is created. In this way, biological data is used to generate a "organization action plan." As a result, the accuracy of assessing the status of an organization, which is a collection of multiple members, is improved. This also improves the accuracy of assessing the status of the organization, thereby enabling the creation of effective organizational action plans. The management device 100 is, for example, a server. The organizational action plan is a "first action plan" of the present disclosure. This corresponds to one example.

[0026] Preferably, the information processing device 100 stores biological data of a plurality of members belonging to an organization. Comprehensively analyze data and mind data, and generate organizational action plans based on the analysis results. Therefore, through an integrated analysis from both biochemical and psychological / spiritual aspects, The accuracy of each member's status assessment will improve, and in turn, the accuracy of the status assessment of the organization to which each member belongs will improve. This improves the efficiency of the organization's actions, resulting in more effective organizational action plans.

[0027] Next, the information processing device 100 will be described with reference to Fig. 2. Fig. 2 shows the information processing device 100. 2 is a block diagram showing an example of the configuration of the information processing device 100. As shown in FIG. 0, a communication unit 150, and a storage unit 160. The information processing device 100 includes an input unit 130 and an output section 140.

[0028] The processing unit 110 executes various processes (various calculations). The processing unit 110 controls the output unit 140, the communication unit 150, and the storage unit 160. The processor includes a CPU (Central Processing Unit), a GPU (Gra phics Processing Unit), FPGA (Field Programmable Gate Array), DSP (Digi tal Signal Processor) or ASIC (Application Specific Integrated Circuit) The processor may be programmable or hardwired. It may also operate by

[0029] The input unit 130 is an input device for inputting various information to the processing unit 110. For example, the input unit 130 may be a keyboard and a pointing device, or a touch panel. be.

[0030] The output unit 140 outputs various information. For example, the output unit 140 displays various information. The display unit includes a display section and an audio output section for outputting audio. The display section is, for example, a liquid crystal display. , an organic electroluminescence display, or a head-mounted display. The audio output unit is, for example, a speaker.

[0031] The communication unit 150 is connected to the network NW. Through the above, the organization terminal T1, the member terminal T2, the doctor terminal T3, the health coach terminal T4, The hand coach terminal T5, the biological related database device 200, and the mind related database The communication unit 150 communicates with the device 300 according to a predetermined communication protocol. A predetermined communication protocol is a communication device, for example, including a network interface controller. The protocol is, for example, a protocol based on Ethernet, Internet, It is a protocol suite and a protocol that complies with short-range wireless communication standards.

[0032] The storage unit 160 includes one or more storage devices and stores data and programs. 160 is a main memory such as a semiconductor memory, a semiconductor memory and a storage drive, etc. The storage drive may be, for example, a hard disk drive or The storage unit 160 is, for example, a non-transitory computer-readable storage device. It is a possible storage medium.

[0033] The processing unit 110 includes an acquisition unit 111, an analysis unit 112, a generation unit 113, and an output control unit 114. Specifically, the processor of the processing unit 110 stores the information stored in the storage device of the storage unit 160. By executing the program, an acquisition unit 111, an analysis unit 112, a generation unit 113, and , and functions as the output control unit 114.

[0034] In addition, the organization terminal T1, the member terminal T2, the doctor terminal T3, the health coach terminal T4, and The mind coach terminal T5 includes a processing unit, a communication unit, a memory unit, an input unit, and an output unit. Organization terminal T1, member terminal T2, doctor terminal T3, health coach terminal T4, and mind The hardware configuration of the processing unit, communication unit, storage unit, input unit, and output unit of the coach terminal T5 is as follows: , respectively, the processing unit 110, the communication unit 150, the storage unit 160, the input unit 130, and the output unit The hardware configuration is the same as that of the 140.

[0035] Next, the biological-related data D1 and the mind-related data D2 will be described with reference to FIG. FIG. 3(a) is a schematic diagram showing the biological data D1. FIG. 3(b) is a schematic diagram showing the mind-related data D2. FIG. 1 is a schematic diagram showing data D2.

[0036] As shown in FIG. 3(a), the biological-related database device 200 stores the biological-related information for each member. The biological related data D1 includes biological function data D12 of the members. .

[0037] The biological function data D12 includes biological data D121. Data D121 includes biometric information extracted from a biological sample of a member. For example, one or more of body fluids, microbiome, DNA, and hair. For example, one or more of blood, interstitial fluid, saliva, and urine.

[0038] The biological data D121 may include, for example, blood test information on nutrients, blood sugar levels, saliva, etc. Liquid cortisol test information, microbiome test information, urinary organic acid test information, DNA test The information includes one or more of: blood test information related to physiological function, hair test information, and physiological function. Biological data D121 includes blood test information on nutrients, blood glucose levels, and , and salivary cortisol test information. These three pieces of information are particularly important for identifying the root cause of physical disorders. This is because it represents a biological state that can be used to identify the cause.

[0039] Blood test information regarding nutrients, for example, nutrients such as magnesium, zinc, and iron It is information on blood components that directly or indirectly indicate blood glucose level. This can be indicated by blood glucose levels, which can be used to detect blood sugar spikes and hypoglycemia. It is possible to obtain information such as blood sugar levels. Blood sugar levels can be measured using a sensing device, for example. The data may be transmitted to the biological-related database device 200, or may be transmitted to a mobile terminal of the member. The sensing device may transmit the signal to the biological-related database apparatus 200 via the For example, there is a CGM (Continuous Glucose Monitoring) sensor that is worn on the human body.

[0040] For example, the HPA axis (hypothalamic-pituitary-adrenal axis) can be determined by salivary cortisol test information. It is possible to estimate the presence or absence and degree of functional disorder of the adrenal gland. Microbiome test information can be used to estimate the state of the intestinal environment, for example. The state of the internal environment can be affected by, for example, a decrease in good bacteria, indigestion, intestinal inflammation, excessive growth of bad bacteria, and and Candida overgrowth. Microbiome testing, for example, GI-MAP testing, The information from the urine organic acid test can be used to determine, for example, damage to the body, the state of neurotransmitters, The TCA cycle can also be estimated. Damage to the body can be caused by, for example, inflammation, oxidative stress, , insulin resistance, hypoglycemia, and increased protein catabolism. Examples include serotonin and dopamine. DNA testing information can be used to estimate the state of brain function, for example. Hair test information can be used to detect, for example, the accumulation of toxins. The information may include, but is not limited to, CRP, ferritin, and triglycerides. .

[0041] Biological data D121 is a score that indicates the primary evaluation of each of multiple biological information. The primary evaluation is to evaluate the biometric information itself according to a predetermined standard (threshold or range). In this case, the biological information can be considered as an evaluation item.

[0042] The biological function data preferably includes vital data D122. 122 is information indicating the vital signs of the members (vital sign information). The data D122 includes, for example, sleep information of the members. The sleep information includes, for example, a sleep score from a sensing device, melatonin levels, and The vital data D122 is information indicating the cycle or caffeine level. Not limited to sleep information, but also blood pressure, heart rate information (e.g., heart rate and heart rate variability index, etc.) It may include:

[0043] The vital data D122 is, for example, stored in a sensing device such as a wearable device. The measured data may be transmitted to the biological-related database device 200 or may be stored in the mobile phone of the member. The data may be transmitted to the biological-related database device 200 via a mobile terminal or the like.

[0044] The vital sign data D122 is a sequence showing the primary evaluation of each of a plurality of vital sign information. The primary assessment involves evaluating the vital signs individually according to predetermined criteria (thresholds and ranges). In this case, vital sign information can be considered as an evaluation item.

[0045] The biological data D121 and the vital data D122 are, for example, The terminal T3 or the member terminal T2 receives biometric data directly or via the information processing device 100. The information may be transmitted to the database device 200.

[0046] The biometric data D1 preferably includes self-evaluation data D11 of the members. The value data D11 is a set of multiple methods to identify the biochemical causes of symptoms that appear in humans. Includes scores for each of the assessment items. Scores are based on member input. Biochemistry is It is a science that elucidates life and physiological phenomena from a chemical perspective.

[0047] The biological function data D12 includes information on the number of steps and / or the amount of physical activity (for example, METs). The information on the number of steps and the amount of physical activity may be stored in a sensor such as a wearable device. It is measured by a sensing device.

[0048] As shown in FIG. 3(b), the mind-related database device 300 stores the mind-related information for each member. Stores India-related data D2. Mind-related data D2 includes mind data D21. nothing.

[0049] The mind data D21 is information based on the answers of members to the questionnaire. Mind data is data based on the self-evaluation of members. The data D21 is at least one of the member's thinking tendency data D211 and behavior tendency data D212. Preferably, the mind data D21 includes at least one of the information. More preferably, the mind data D21 includes the member's thinking tendency data. The thought tendency data D211 includes both the thought tendency data D211 and the behavior tendency data D212. It includes information that indicates thinking tendencies based on cognitive functions. Thinking tendencies can also be called thinking traits. The behavioral tendency data D212 indicates behavioral tendencies based on psychological or mental factors of the members. The behavioral tendency can also be called behavioral characteristics. Mind Data D21 is the information It is preferable to include the tendency data D211, and the tendency data D211 includes the thought tendency data D211 and the behavior tendency data D212. It is more preferred to include D212.

[0050] The mind-related data D2 preferably includes interview data D22. The data includes information indicating the results of the interview between the member and the mind coach. For example, the interview data D2 2 is conversation log data or interpersonal observation data from an interview. The interview data D22 is composed of The score for each of a plurality of evaluation items for evaluating the thinking tendency and / or behavior tendency of the member is included. The score is based on the input of a mind coach, who can help you understand your thinking habits. and / or are experts in assessing behavioral tendencies.

[0051] Next, the operation of the information processing device 100 will be described with reference to Fig. 4. 4 is a diagram illustrating an example of the operation of the acquisition unit 110. As shown in FIG. At least the biological-related data D1 is acquired from the biological-related database device 200 (FIG. 1). The storage unit 160 (FIG. 2) stores biometric data D1. The biometric data D1 includes at least The biological function data D12 includes at least biological function data D12. Includes data D121.

[0052] The analysis unit 112 analyzes at least the biological data D of a plurality of members belonging to an organization. Specifically, the analysis unit 112 evaluates the state of the tissue by analyzing the data 121. In addition, by analyzing the biological data D121 of the members, Then, the analysis unit 112 evaluates the status of the plurality of members based on the evaluation results of the status of the plurality of members. For example, the analysis unit 112 may aggregate the results of evaluations of the status of multiple members of an organization. The state of the organization is evaluated by tabulation and analysis. It may also contain.

[0053] The generation unit 113 generates organizational strategies for solving organizational problems based on the evaluation results of the state of the organization. The output control unit 114 generates image information representing the organizational action plan and Display it on terminal T1 (Figure 1).

[0054] In this way, in this embodiment, the resolution of the index for evaluating the condition of the member is high. Therefore, the accuracy of the assessment of the condition of the members is And because an organization is a collection of members, the accuracy of the assessment of the status of members can be improved. When it is high, the accuracy of the evaluation of the state of the organization to which the member belongs improves. The results can be used to generate effective organizational action plans to solve organizational challenges. .

[0055] In detail, an organization is a group of members who interact with each other under a common purpose or goal. The function of an organization is determined by the activities of its individual members. Therefore, in order to evaluate the state of the tissue with high accuracy, However, it is preferable to grasp the physiological state of the members. Conventional indicators for assessing the condition of individuals have low information resolution. If the target information resolution is low, the accuracy of estimating the state of the organization to which the individual belongs also decreases. When chemical factors (nutritional deficiency, oxidative stress, hormonal imbalance, etc.) cannot be identified, In this case, the root causes of poor performance and ineffective decision-making in organizations are at the individual level. As a result, the true causes of organizational issues cannot be accurately identified, and effective organizational behavior cannot be achieved. In this embodiment, it may be difficult to generate a plan or an intervention strategy. Use of high-resolution biological data D121 as an index for assessing the condition of This will improve the accuracy of the assessment of the status of the members and, in turn, the status of the organization. This allows for the generation of effective organizational action plans and intervention strategies.

[0056] For example, the root cause of the issues members are facing due to the use of biological data D121 It is possible to identify the cause. In other words, from the biological data D121, It identifies detailed biochemical factors such as nutrient deficiency and the accumulation of harmful metabolic products and toxic substances in the body. These biochemical factors affect the neuroendocrine and energy systems of the members. It affects the energy metabolism system and induces functional disorders such as poor concentration and lack of energy. And, the symptoms of illness (for example, Identifying the biochemical factors that cause a particular condition (e.g., functional impairment) can help identify the root cause of the tissue challenge. The result is an effective organizational behavior plan that includes solutions that address the root causes of organizational challenges. You can generate images.

[0057] In particular, biological data D121, blood test information on nutrients, blood sugar levels, saliva concentration, Lutisol test information, microbiome test information, urinary organic acid test information, DNA test information , hair test information, and blood test information related to physiological functions. Factors affect the neuroendocrine, metabolic, and cognitive functions of members and affect energy balance. This can be a fundamental factor in disrupting normality and attention control. By analyzing this information, we can identify the symptoms of members' illnesses (e.g., energy homeostasis, This includes solutions that address the root causes of the problem (attention control breakdown) and ultimately the root causes of organizational issues. Able to generate effective organizational action plans.

[0058] Furthermore, biologics obtained from different types of body fluids (blood, interstitial fluid, saliva, and urine) The biochemical status of members can be evaluated from multiple angles using the data D121. as well as from other biological samples (microbiome, DNA, and hair). Biological Data D121 allows for a more comprehensive assessment of the biochemical status of members. In this way, the biochemical status of the members can be analyzed and evaluated in detail. It can accurately identify the root cause of the symptoms of illness, and ultimately, the root cause of organizational issues. This allows for the creation of more effective organizational action plans that include solutions to organizational challenges. It can be achieved.

[0059] In the above, the analysis unit 112 analyzes the biological data D121 of the plurality of members. In addition, by analyzing the vital data D122 and / or the self-assessment data D11, The condition of the tissue may be assessed.

[0060] Preferably, in this embodiment, the acquisition unit 111 is a mind-related database device 300 (FIG. 1) to acquire mind-related data D2. The mind-related data D2 includes at least mind data D21. Includes:

[0061] The analysis unit 112 analyzes biological data D121 and mind data D122 of a plurality of members. Specifically, the analysis unit 112 evaluates the state of the organization by analyzing the members' By analyzing the biological data D121 and mind data D21, Then, the analysis unit 112 evaluates the status of the members. For example, the analysis unit 112 evaluates the state of the organization based on the evaluation of the state of multiple members. The results are compiled and analyzed to assess the state of the organization. Compilation and analysis can be used, for example, for statistical purposes. It may also include chemical processing.

[0062] Thus, according to this embodiment, the biological data D121, which is biochemical data, and the mind data D21 based on psychological factors. Data D21 reveals psychological factors that cannot be captured by biological data D121 alone. While complementing the above, biological data D121 is able to provide more than just mind data D21 alone. This synergistic effect can complement the medical validity that cannot be obtained from other methods. This will result in improved accuracy and, in turn, more effective organizational action plans.

[0063] For example, as mentioned above, the functioning of an organization changes depending on the status and interrelationships of its individual members. Therefore, in order to evaluate the state of an organization with higher accuracy, it is necessary to consider the physiological and psychological It is more preferable to grasp the cognitive state from multiple angles. Conventional indices for assessing individual states, such as those in the literature, cannot reflect cognitive and psychological aspects. The resolution of information needed to grasp the overall picture of an individual's condition was limited. In this embodiment, not only the biological data D121 but also the mind data D21 is analyzed. By analyzing the data, the accuracy of the assessment of the members' condition can be further improved with higher information resolution. This results in more accurate assessment of organizational status and more effective organizational action plans and intervention strategies. It is possible to generate a summary.

[0064] Specifically, in this embodiment, the analysis unit 112 analyzes biological information for a plurality of members. By integrating and analyzing the data D121 and the mind data D21, the state of the organization can be evaluated. Worth it.

[0065] As a first example, the analysis unit 112 analyzes the biological data D121 and mind of the members. By comprehensively analyzing the data D21, the status of each member is evaluated. Then, the analysis unit 112 evaluates the state of the organization based on the evaluation results of the states of the multiple members. Alternatively, as a second example, the analysis unit 112 analyzes the biological data D121 of the members. By doing so, the state of each member is evaluated and the mind data D21 is analyzed. By doing so, the state of each member is evaluated. The overall evaluation results of multiple members based on the physical data D121 and the mind data D2 By integrating and analyzing the overall evaluation results of multiple members based on 1, the state of the organization can be In the second example, indirectly, biological data D121 and mind Data D21 is being analyzed comprehensively.

[0066] In this way, in this embodiment, by performing an integrated analysis, biological data The state of the organization, including the interactions and causal relationships between D121 and Mind Data D21 This allows for advanced evaluation, resulting in the generation of more effective organizational action plans.

[0067] Preferably, the mind data D21 identifies a thought tendency based on the cognitive function of the member. In this case, the score is calculated based on the member's input. The score makes it possible to quantitatively grasp the thinking tendencies of members. This allows for more objective and systematic analysis and evaluation of thinking trends.

[0068] Preferably, the mind data D21 is a data set based on the psychological or mental factors of the members. The score includes scores for each of multiple evaluation items to identify trends. The score is based on the input of the members. The score allows us to quantitatively grasp the behavioral tendencies of the members. This makes it possible to analyze and evaluate behavioral trends more objectively and systematically. do.

[0069] Preferably, in this embodiment, the living body-related data D1 is biological data D121 In addition, the analysis unit 112 includes vital data D122. By integrating and analyzing the biological data D1 and the mind data D21, the state of the organization can be In this case, detailed biochemical factors are evaluated using biological data D121. While vital data D122 can identify daily fluctuations and rhythms of biological functions, It is possible to capture the body's response over time, which improves the accuracy of the assessment of tissue conditions. This in turn allows for the generation of more effective organizational action plans.

[0070] In particular, the vital data D122 preferably includes sleep information. Sleep disorders such as poor quality and short sleep duration are the root causes of illness in members. Therefore, by analyzing the vital data D122 including sleep information, Effective solutions that address the root causes of employee symptoms and ultimately the root causes of organizational challenges. Generate effective organizational action plans.

[0071] Preferably, in this embodiment, the living body-related data D1 is biological data D1 21 and self-assessment data D11, or biological data D121 and The analysis unit 112 includes the self-assessment data D11 in addition to the vital data D122. ,Integrated analysis of bio-related data D1 and mind data D21 for multiple members This allows you to assess the state of your organization.

[0072] Self-assessment data D11 is intended to identify the biochemical causes of symptoms that appear in humans. The biological data D121 includes scores for each of the multiple evaluation items. It includes biometric information related to the evaluation items in the self-evaluation data D11. Comparison of self-assessment data D11 with objective biological data D121 As a result, the accuracy of the assessment of each member's condition will be further improved, and the organization will The accuracy of the evaluation of the weave condition is further improved.

[0073] Preferably, in this embodiment, the mind-related data D2 is added to the mind data D21. The analysis unit 112 then analyzes the biometric data of the plurality of members. Evaluate the state of the organization by integrating and analyzing the related data D1 and the mindset-related data D2. In this case, the living body-related data D1 includes biological data or In addition to the test data D121, self-assessment data D11 is included, or biological data In addition to D121, it includes vital data D122 and self-assessment data D11.

[0074] The interview data D22 shows the results of the interview between the mind coach and the member. is an expert in assessing human thought and / or behavioral tendencies. Data D22 is the thinking tendency and / or More specifically, the interview data D22 is information about the members' thinking tendencies. The score includes each of a plurality of evaluation items for evaluating the orientation and / or behavioral tendencies. In addition to the mind data D21 based on the self-evaluation of the members, the interview data D22 was analyzed. By including them in the questionnaire, it is possible to identify the thinking and / or behavioral tendencies of members more accurately and in depth. become.

[0075] For example, a mind coach can help you understand the true feelings and thought processes of members that are drawn out through face-to-face conversations. This allows for the extraction of structures that cannot be captured by analyzing only the mind data D21 based on self-evaluation. The thinking tendency and / or behavior tendency of the member can be identified and recorded as interview data D22. For example, a mind coach may provide a member with advance guidance regarding their thinking and / or behavioral tendencies. Questions based on the contents of the questionnaire are asked to members in interviews, and responses are scored to create interview data D. Therefore, based on the pre-questionnaire score and interview data D22, For example, you can understand the difference between the pre-interview questionnaire and the interview content, and extract the bias to make yourself look good. It can be produced.

[0076] As described above with reference to FIG. 4, the analysis unit 112 analyzes the biometric data of multiple members. The state of the organization is evaluated by comprehensively analyzing the data D1 and the mind-related data D2. Then, the generation unit 113 generates a solution to the problem of the organization based on the evaluation result of the state of the organization. The output control unit 114 generates image information representing the organizational action plan. The organizational action plan is displayed on the organizational terminal T1 (Fig. 1). For example, the organizational action plan is provided as a roadmap. This may be done.

[0077] FIG. 5 is a diagram showing an example of an organizational action plan PL1. In the diagram, "Q" represents an integer of 2 or more. As shown in FIG. 5, the organizational action plan PL1 includes action plan information 700 for each implementation date. The action plan information 700 includes organizational issues and content. This indicates the coaching content (coaching information) to solve the problem. The coaching content can be, for example, The content is determined from the perspective of cognitive psychology and / or behavioral psychology. The Indian coach will conduct organizational management in accordance with each action plan information 700 of the Organization Action Plan PL1. In the example of Figure 5, coaching is given to members in charge of management or operation. The image information 700 is a content to be carried out in one day, but it is a content to be carried out over two or more days. It is also possible.

[0078] For example, organizational action plan PL1 may include a plan regarding employee turnover depending on the results of an assessment of the state of the organization. Coaching information (content) for resolving issues, Coaching information (content) for solving human resource issues (Content), Coaching information to solve issues related to organizational culture (Content) and one or more of the following coaching information (content) to solve sales-related issues. This includes the above information. Therefore, the worsening of employee turnover, the increase in absenteeism, the lack of leadership talent, and passive organizations Addressing typical and significant challenges facing companies: culture and / or sales stagnation Provides an action plan to the organization, especially regarding turnover, absences, talent, organizational culture, and sales. The coaching information to solve the problems that are causing the problem is worsening turnover rate, increasing number of employees on leave, To solve the root causes of leadership shortages, passive organizational culture, and sluggish sales Preferably, coaching information is included.

[0079] Preferably, the generation unit 113 generates information indicating the basis of the organization action plan PL1 from the biological related data. It is generated based on the integrated analysis results of organizational behavior data D1 and mind-related data D2. The rationale for Plan PL1 is, for example, the reason for implementing Organizational Action Plan PL1 and / or the organizational impact after implementation. The output control unit 114 then outputs the organizational action plan PL1 to the organization terminal T1. In this way, an explainable approach can be used to It is possible to improve the persuasiveness and effectiveness of PL1. By clearly explaining the reasons for the change, the organization and its members will feel more convinced and motivated to change their behavior. It is possible.

[0080] For example, the content of the action plan information 700 is the basis for the organizational action plan PL1. The plan information 700 may include the rationale for the coaching.

[0081] Specifically, as an example, the storage unit 160 generates information indicating the basis of the organizational action plan. The basis creation information (for example, a basis creation table) for the purpose of It is information in which multiple pieces of organizational status information are associated with multiple pieces of evidence candidate information. For example, One piece of evidence candidate information is associated with each piece of organizational status information. The basis candidate information indicates the basis candidates for the organizational action plan. 113 is a system for generating an integrated analysis of the biological data D1 and the mind-related data D2 from the basis generation information. and a candidate basis associated with organizational state information corresponding to an evaluation of the state of the organization based on the analysis results. Then, the generation unit 113 uses the acquired basis candidate information as the basis of the organizational action plan. In this way, the generation unit 113 generates information indicating the basis of the organizational action plan. Generate.

[0082] Preferably, in this embodiment, the analysis unit 112 analyzes the causes of the organizational problems by at least At the very least, it is identified (estimated) by analyzing the mind-related data D2. D2 includes mind data D21, or mind data D21 and interview data D The analysis unit 112 then identifies the cause of the organizational problem (for example, the root cause Based on the identified results (estimated results) of the above, error events that may occur in the organization are estimated. It can be assumed that an error event has caused an issue in the organization. It shows the specific problem behaviors and phenomena that arise from the causes of the problem. 114 provides the results of identifying the cause and estimating the error event, as well as image information showing organizational issues. The image information is displayed on the organizational terminal T1. Can.

[0083] FIG. 6 is a diagram showing an example of the organizational root cause map MP1. As shown in FIG. This Cause Map MP1 shows the root cause 401 of the organizational issue 403 leading to the occurrence of the issue 403. Specifically, the organizational root cause map MP 1 contains information about root causes 401, error events 402, and organizational issues 403. In Figure 6, black squares indicate items that apply to the organization being evaluated. are.

[0084] In this way, it is possible to estimate the causes (e.g., root causes) of organizational problems and error events. By visualizing the results and providing them to the organization, the manager or operator of the organization can easily identify the root cause and the problem. It is possible to clearly grasp the structured chain leading to the occurrence of The analysis unit 112 analyzes the causes (for example, root causes) of the organizational issues based on the mind-related data. The estimation is made by comprehensively analyzing the data D2 and the biological data D1. It is possible to accurately estimate the causes of organizational issues.

[0085] Specifically, as an example, the storage unit 160 stores the correspondence between the causes of organizational problems and error events. The error handling information (for example, a cause-error handling table) showing the relationship between the cause and the error is stored. The cause and error response information is a set of information that associates multiple cause information with multiple error event candidates. For example, one or more error event candidates are associated with one piece of cause information. Causal information indicates the underlying cause of an organizational issue. Error event candidates are The generation unit 113 refers to the cause and error handling information and generates the error event candidates. The error event associated with the cause information corresponding to the identified cause (presumed cause) is The generation unit 113 then acquires the candidate from the cause and error handling information. In this way, the generation unit 113 generates the error event. Examples of identifying (estimating) the causes (root causes) of organizational issues will be described later. do.

[0086] Preferably, the generating unit 113 generates the bio-related data D1 and the mind-related data D2 of the plurality of members. An organizational evaluation report is generated based on the integrated analysis results of the data D2. is a report showing the results of the evaluation of the state of the tissue. Assessment results of the state of the organization based on the analysis results of data D1 and / or mind-related data It may also include an evaluation result of the state of the tissue based on the analysis result of D2.

[0087] 7 is a diagram showing an example of an organizational evaluation report 500. As shown in FIG. The report 500 includes, for example, an organizational health score 501, number of employees information 502, and improvement rate information 503. , and investment effectiveness information 504 .

[0088] The organizational health score 501 is calculated by calculating the scores of the members' biometric data D1 and mind-related data D2. The scores of Data D2 are aggregated for each member, and the aggregated results are then distributed to multiple members of the organization. Therefore, the organizational health score 501 is a composite score obtained by aggregating multiple It is an indicator that shows the state of an organization, reflecting the physical health and psychological performance of its members. Psychological performance indicates the degree of status of a member from a psychological or spiritual point of view.

[0089] The number of people information 502 is information about the number of people participating in the support of the organization by the information processing device 100 (hereinafter referred to as "this support"). The improvement rate information 503 indicates the number of members who have achieved the improvement. It is the percentage increase in organizational health score at the time of evaluation that results from the implementation of the investment. The report 504 shows the economic return on the investment in this support in monetary terms, and Return on Investment (ROI) indicates the economic return on investment. For example, if the turnover rate is reduced through this support, the amount of money that would have been incurred by the turnover will be The economic return is This is the amount equivalent to the expenditure on recruitment costs. If realized through the use of a product, the economic return is the increased sales resulting from increased productivity.

[0090] For example, the organizational assessment report 500 includes a health distribution chart 505 and departmental health scores 506. Including 06.

[0091] The health distribution chart 505 shows the distribution of the personal health scores of the members of the organization. The score is calculated by dividing the score of the member's biometric data D1 and the score of the mind-related data D2. Therefore, the individual health score is a composite score obtained by aggregating the physical It is an index that represents the state of an individual member, reflecting their health condition and psychological performance.

[0092] The sectoral health score506 is a score obtained by aggregating individual health scores by sector. Therefore, the departmental health score 506 is the physical health status of the members of the department. It is an indicator of the state of the department that reflects its psychological performance.

[0093] The above is an example, and the contents of the organization evaluation report 500 are not particularly limited. stomach.

[0094] Returning to Figure 4, we will now explain a detailed example of the integrated analysis and generation of an organizational action plan. The analysis unit 112 analyzes the scores of the evaluation items in the biometric data D1 of each member and the mind-related data D2. Calculate an integrated score for each member based on the scores of the evaluation items in data D2. The analysis unit 112 aggregates the integrated scores of the multiple members and analyzes the group based on the aggregation results. In this case, the analysis unit 112 evaluates the state of the organization by tallying the integrated scores of multiple members. may be output as an evaluation result of the state of the organization.

[0095] In this way, by calculating and aggregating the integrated scores of multiple members, it is possible to obtain quantitative analysis results. This allows for objective and highly reproducible "assessment of the state of the organization."

[0096] Specifically, the analysis unit 112 analyzes the scores of the evaluation items of the biological-related data D1 and the mind-related data D2. The scores of the evaluation items in the series data D2 are calculated by a predetermined function (hereinafter referred to as "predetermined function PF"). The predetermined function PF may be, for example, an addition, multiplication, or subtraction function. and division, or a combination of two or more of them. The mathematical PF may be a statistical model (mathematical model) or a learning model. In addition, when integrating, the evaluation items of biological-related data D1 and the evaluation items of mind-related data D2 Scores may be weighted between eyes.

[0097] In this case, multiple evaluation items of the biological-related data D1 and multiple evaluation items of the mind-related data D2 Among the evaluation items, combinations of evaluation items to be integrated (hereinafter referred to as "heterogeneous item combinations") Depending on the purpose of the integrated assessment, the and predetermined by one or more of the health coaches and stored in the storage unit 160. The heterogeneous item combination is, for example, the biological data D1 (biological data D121) The evaluation items are "nutrient deficiency" and "magnesium" and mind-related data D2 (my This is a combination with "thinking pattern," which is an evaluation item of the hand data D21).

[0098] The heterogeneous item combination is one or more evaluation items of biological-related data D1 and mind-related data D2. A heterogeneous item combination is a combination of one or more evaluation items of the biometric data D1. The combination of the evaluation item and one evaluation item of the mind-related data D2 is not limited to this. The purpose of the evaluation is to identify organizational issues such as worsening turnover rates and an increase in employees on leave. The purpose of this project is to identify (estimate) the various root causes of the problems, of which there are multiple. For each purpose of evaluation, different item combinations are predefined. Even if a problem occurs, the root cause may differ depending on the characteristics and circumstances of the organization. Even for the same issue (for example, worsening turnover rate), multiple different item combinations are defined. In other words, there can be multiple different root causes for a single issue in an organization, so multiple root causes A plurality of different item combinations are defined corresponding to each cause.

[0099] For example, the aggregated results of the combined scores of a certain combination of different items for multiple members (aggregated scores) If the core) is equal to or greater than a certain value, the root cause corresponding to the combination of heterogeneous items is It is identified (presumed) as the root cause of an organizational issue.

[0100] Specifically, the analysis unit 112 performs the following for each purpose of evaluation by integration (for each combination of different items): For example, if an organization's challenge is a worsening turnover rate, In this case, multiple items are created for each of the multiple combinations of different items that correspond to the multiple root causes of the problem. Then, the analysis unit 112 calculates the total scores of the members for each of the root causes. The combined scores of the corresponding multiple heterogeneous item combinations are used to identify multiple root causes. Identify (estimate) one or more root causes that are causing the issues in the organization being evaluated. For example, if there are multiple possible root causes for a certain issue, the aggregated score The root causes corresponding to the combination of heterogeneous items with results (aggregate scores) above a certain value are identified by the organization being evaluated. Identify it as the root cause of the issue.

[0101] The aggregated score and identified root causes are used to assess the state of the organization. This is an example of the results.

[0102] The storage unit 160 stores a plurality of action plan candidates for each of a plurality of issues that may arise in the organization. In this case, an action plan candidate is prepared for each root cause. For example, from among multiple action plan candidates, an action plan that corresponds to the organizational issues and root causes can be selected. Also, for example, the generation unit 113 selects an integrated action plan candidate from among the plurality of action plan candidates. The action plan candidate is obtained according to the score aggregation result (aggregated score). The generation unit 113 acquires candidate action plans according to the evaluation results of the state of the organization. 3 sets the obtained action plan candidates as the organizational action plan.

[0103] FIG. 8 is a diagram showing an example of a group of action plan candidates PL10 for generating an organizational action plan. In the figure, "Q" represents an integer equal to or greater than 2. The action plan candidate group PL10 is stored in the storage unit 160. As shown in FIG. 8, the action plan candidate group PL10 is composed of action plan candidate information for each implementation date. The action plan candidate information 700a includes the issues and content of the organization. The content indicates the coaching content (coaching information) for solving the problem. The content of the training is determined, for example, from the perspective of cognitive psychology and / or behavioral psychology. be.

[0104] For example, the generation unit 113 selects an action plan candidate from the action plan candidate group PL10 according to the evaluation result of the state of the organization. Then, the generation unit 113 acquires the plurality of pieces of action plan candidate information 700a. By setting the candidate action plan information 700a in each of the plurality of action plan information 700 (FIG. 5), In this way, an organizational action plan PL1 (FIG. 5) including a plurality of pieces of action plan information 700 is generated.

[0105] Continuing with reference to FIG. 4, another example of the process for generating an organizational action plan will be described. 12 integrates biometric data D1 and mind-related data D2 for multiple members. The state of the organization is assessed by analyzing it systematically.

[0106] In this case, for example, a plurality of tissue evaluation candidates are stored in the storage unit 16 as candidates for the evaluation of the tissue state. 0 in advance. Therefore, the analysis unit 112 selects the most appropriate tissue evaluation candidate from among the plurality of tissue evaluation candidates. Select organizational evaluation candidates according to the results of the comprehensive analysis, and then use the selected organizational evaluation candidates to In this case, the "results of the integrated analysis" are set as the evaluation results of the above. The analysis unit 112 may, for example, Two or more tissue evaluation candidates may be selected by assigning a rank (recommended rank). 12 receives the integrated analysis results and the priority order (recommended order) via the communication unit 150. The information of two or more organizational evaluation candidates is sent to the mind coach terminal T5, the doctor terminal T3, and the The data is then sent to one or more of the Mind Coach terminals T4, T5, and the doctor. A plurality of organizational evaluation candidates are selected via one or more of the terminal T3 and the health coach terminal T4. Depending on the judgment of one or more of the following, a mind coach, a doctor, and a health coach may The selected organization evaluation candidate is set as the evaluation result of the organization's state, and the information processing device 10 In this case, the analysis unit 112 sends the information of the evaluation result of the state of the tissue to the analysis unit 112. The acquisition of the information corresponds to the analysis unit 112 evaluating the state of the tissue.

[0107] One or more of the mind coach, doctor, and health coach may use the mind coach terminal T 5, etc., the analysis unit 112 or the mind coach, etc., may correct the organizational evaluation candidates selected. In this case, the revised organizational evaluation candidate is set as the evaluation result of the organizational state.

[0108] Furthermore, the generation unit 113 generates first action plan selection information (e.g., For example, the first action plan selection table is used to generate an organizational action plan. The information is used to select an organizational action plan according to the results of the evaluation of the organization's state. The action plan selection information is stored in the storage unit 160. Specifically, the first action plan selection information is , including information in which a plurality of organizational state information items are associated with a plurality of action plan candidates. The information is information that can be used to evaluate the state of the organization. Refer to the plan selection information and associate it with the organizational status information corresponding to the evaluation results of the organizational status. The action plan candidates are acquired and adopted as the organizational action plan. The "aggregate score of the integrated score" mentioned above is used as the "assessment result of the organizational status." May be used.

[0109] In this way, the first action plan selection information that systematically associates organizational status information with action plan candidates is By using this, objective and consistent organizational action plans can be generated through simple processing. This becomes:

[0110] The generation unit 113 selects two or more action plan candidates by assigning priorities (recommended orders). In this case, the generation unit 113 may transmit the priority order (recommended order) via the communication unit 150. The information of two or more candidate action plans marked with " " may be transmitted to the organization terminal T1. A member in charge of the operation or management of the organization selects one of two or more action plan candidates via the organizational terminal T1. Then, select the action plan candidate that suits your organization and set the selected action plan candidate as the organizational action plan. The information on the organizational action plan may be transmitted from the organizational terminal T1 to the generating unit 1 of the information processing device 100. In this case, the generation unit 113 acquires the organizational action plan from the organization terminal T1 and transmits it to the organization terminal T2. This corresponds to the generation of an organizational action plan by the generation unit 113.

[0111] Alternatively, an organizational action plan may be generated as follows: The generating unit 113 transmits the evaluation result of the state of the organization and information on the plurality of action plan candidates to the communication unit 15. 0 to the Mind Coach terminal T5. Multiple action plan options based on the results of the organizational status assessment via the Indian Coach terminal T5 From the list, select an effective action plan candidate to solve the organization's issues, and The candidate is set as an organizational action plan. Then, the Mind Coach terminal T5 The information is transmitted to the generating unit 113 of the information processing device 100. In this case, the generating unit 113 The acquisition of the organizational action plan from the Indian coach terminal T5 is the organizational action plan generated by the generation unit 113. The generation unit 113 generates a plan based on the evaluation result of the state of the organization and the Information on the motion plan candidates is transmitted to the mind coach terminal T5, the doctor terminal T3, and the and may be transmitted to one or more of the health coach terminals T4. via one or more of the client terminal T5, doctor terminal T3, and health coach terminal T4. From the action plan candidates, one or more of the following will be selected: a mind coach, a doctor, and a health coach The action plan candidate selected based on the result of the judgment is set as the organizational action plan, and the information processing equipment The generated signal is transmitted to the generating unit 113 of the device 100 .

[0112] In these examples, the "assessment results of the organizational status" are the "aggregation of the integrated score" mentioned above. The results (aggregated scores) may also be used. , and via one or more of the health coach terminals T4, select from a plurality of action plan candidates. Priority will be given based on the judgment of one or more of the following: Two or more action plan candidates may be selected by assigning a rank (recommended rank). In this case, the priority The information on two or more candidate action plans to which the recommendation order is assigned is sent to the generating unit 11 of the information processing device 100. 3. Then, the generation unit 113 transmits the priority (recommended rank) to the communication unit 150. ) is sent to the organization terminal T1. A member in charge of management or administration selects from two or more action plan candidates via the organizational terminal T1. Select an action plan candidate that suits your organization and set the selected action plan candidate as the organizational action plan. The information on the organizational action plan may be transmitted from the organizational terminal T1 to the generation unit 113 of the information processing device 100. In this case, the generation unit 113 acquires the organizational action plan from the organizational terminal T1. This corresponds to the generation of an organizational action plan by the generation unit 113.

[0113] Continuing to refer to FIG. 4, preferably, in this embodiment, the analysis unit 112 By integrating and analyzing the biological data D1 and the mind-related data D2, Then, the generation unit 113 evaluates the state of each member based on the evaluation result of the state of the member. Based on this, an action plan (hereinafter referred to as "individual action plan") is generated to solve the member's problem. The personal action plan may be provided as a roadmap, for example. Biometric data D The contents of the personal bank account number D1 and the mind-related data D2 are as explained with reference to FIG. The action plan corresponds to an example of the "second action plan" of the present disclosure.

[0114] In this way, biological data including biological data D121, which is biochemical data, D1 and mind-related data D2 including mind data D21 based on psychological factors. Therefore, the mind data D21 is used to analyze the biological data D12. 1) Complementing psychological factors that cannot be fully grasped by biological data D121 This can complement the medical validity that cannot be obtained from Mind Data D21 alone. The synergistic effect improves the accuracy of the assessment of the member's condition, allowing for personalized assessment of each member. Generate tailored and effective personal action plans.

[0115] In particular, not only organizational action plans at the organizational level, but also individual action plans at the individual level for each member. By providing a plan, support for the organization and its members can be achieved. This will contribute to solving organizational issues by improving employee health and performance. do.

[0116] 9 is a diagram showing an example of an individual action plan PL2. In the figure, "q" represents an integer of 2 or more. As shown in FIG. 9, the individual action plan PL2 includes action plan information 710 for each implementation date. The action plan information 710 includes the member's tasks and content. The content 712 is This shows the coaching content (coaching information) to solve the problem 711. The content is, for example, health-related content determined from a biochemical perspective. and / or by the health coach in accordance with each action plan information 710 of the personal action plan PL2. In the example of FIG. 9, the action plan information 710 is , which is carried out in one day, but may be carried out over two or more days.

[0117] For example, the Personal Action Plan PL2 sets nutritional challenges according to the results of an assessment of the individual's condition. Coaching information (content) to solve problems and lifestyle-related issues This includes one or more pieces of coaching information (content) for the individual. To provide optimal coaching information in terms of nutrition and lifestyle habits based on the results of individual assessments. This allows for effective interventions that address the specific challenges of each individual member.

[0118] Preferably, in this embodiment, the analysis unit 112 determines whether a problem (illness symptom) of a member has occurred. The cause (root cause) of the accident is identified (estimated) by analyzing at least the biometric data D1. The contents of the biometric data D1 are as shown in FIG. 3. The analysis unit 112 then Based on the results of identifying (estimating) the causes (root causes) of the issues that members are facing, Furthermore, the analysis unit 112 estimates the physiological damage that may occur to the worker. Based on this, the body systems involved in physiological damage are estimated. It can be assumed that the internal system related to the wound is causing the member's problems (illness symptoms). The internal body system represents the biological components that are the basis for maintaining biological functions. The control unit 114 determines the cause (root cause) identification result, the physiological damage estimation result, and the internal system The estimated results and image information showing the member's issues (symptoms of illness) (hereinafter referred to as "Personal Root Cause Map") The image information is displayed on the member terminal T2.

[0119] FIG. 10 is a diagram showing an example of the personal root cause map MP2. As shown in FIG. The Human Root Cause Map MP2 consists of 411 root causes of 414 member issues (illness symptoms). This information visualizes the structured chain of events that leads to employee issue 414 (illness symptoms). Specifically, the Personal Root Cause Map MP2 is composed of root causes 411, physiological damage 412, and internal system It includes information about the system 413 and the problem 414 (symptoms of illness). ,Black rectangles indicate items that apply to the members being ,evaluated.

[0120] In this way, the root cause of the member's problems (symptoms of illness), physiological damage By visualizing the estimated results of the internal body system and providing them to members, members can fundamentally Clearly understand the structured chain from the cause to the member's problem (symptoms of illness) More preferably, the analysis unit 112 determines the cause (root cause) of the member's problem. ) is estimated by comprehensively analyzing mind-related data D2 and biological-related data D1. In this case, the cause of the member's problem can be estimated with greater accuracy.

[0121] Specifically, as an example, the storage unit 160 stores the correspondence between the causes of the member's problems and physiological damage. The cause and damage correspondence information showing the relationship (for example, a cause and damage correspondence table) is stored. Cause and damage response information is information that associates multiple cause information with multiple physiological damage candidates. For example, one or more physiological damage candidates are associated with one cause information. The causal information indicates the underlying cause of the member's problem. The generation unit 113 refers to the cause and damage response information and generates a candidate physiological damage. and then, physiological damage candidates associated with the cause information corresponding to the identified cause (estimated cause) are The generation unit 113 then obtains the physiological damage symptoms from the cause and damage response information. In this way, the generation unit 113 estimates the physiological damage. Examples of how to identify (estimate) the causes (root causes) of members' issues will be described later. .

[0122] In addition, as an example, the memory unit 160 stores the correspondence between physiological damage and the body system of the member. and storing injury-body system correspondence information (e.g., injury-body system correspondence table) indicating the injury-body system correspondence information. The injury-internal system correspondence information is a set of multiple physiological injury information and multiple internal systems. The generating unit 113 then generates information relating the damage-in-body system pair. The physiological damage information corresponding to the estimated physiological damage is referred to. System candidates are acquired from damage and internal system correspondence information and adopted as internal systems. In this way, the generation unit 113 estimates the body system.

[0123] Preferably, the generating unit 113 generates the biometric data D1 and the mind-related data D2 of the members. A personal evaluation report is generated based on the integrated analysis results of 2. This is a report showing the results of an evaluation of the member's condition. The individual evaluation report includes biometric data. Evaluation results of the individual's condition based on the analysis results of data D1 and / or mind-related data D2 The information may include an evaluation result of the individual's condition based on the analysis result.

[0124] 11 is a diagram showing an example of an individual evaluation report 800. As shown in FIG. The evaluation report 800 includes, for example, blood test information 801, biological function analysis information 802, and 803, wellness analysis information 804, and performance analysis information 805. include.

[0125] Blood test information 801 is information showing the results of a blood test of a member. 802 is information indicating biological functions such as nutritional status and intestinal inflammation status. 802 is obtained by summarizing the scores of the biological data D121 and calculating the score based on the summation results. Mind analysis information 803 is information on thinking patterns and the balance between the right and left brain. The mind analysis information 803 is information showing the thinking tendency of the members. The mind analysis information 803 may include information indicating the behavioral tendencies of the members. This is information obtained by aggregating the scores of the data D21 and based on the aggregation results.

[0126] Wellness analysis information 804 includes indicators showing the physical health status of the member and the mental health status of the member. Indicators of physical health include indicators of the biological health of members. This is an index based on the aggregated score of data D121. The index showing psychological health status is: This is an index based on the aggregated scores of members' mind data D21.

[0127] The performance analysis information 805 includes productivity indicators that indicate the productivity of the members, The productivity index and creativity index each reflect the biologic The scores of the physical data D121 and the mind data D21 are tallied and the results are This is a composite score obtained based on the

[0128] The above is an example, and the contents of the individual evaluation report 800 are not particularly limited. stomach.

[0129] Returning to Figure 4, we will now explain a detailed example of the integrated analysis and generation of a personal action plan. The analysis unit 112 analyzes the scores of the evaluation items in the biometric data D1 of the members and the mind-related data D2. The analysis unit 112 calculates an integrated score based on the scores of the evaluation items of the data D2. evaluates the status of the member based on the integrated score. The integrated score may be output as an evaluation result of the member's status.

[0130] In this way, by calculating the integrated score of the members, an objective, quantitative analysis can be obtained. It is possible to perform a highly reproducible "assessment of the member's condition."

[0131] Specifically, the analysis unit 112 analyzes the scores of the evaluation items of the biological-related data D1 and the mind-related data D2. The scores of the evaluation items in the series data D2 are integrated by a predetermined function PF to obtain an integrated score The predetermined function PF is, for example, one of addition, multiplication, subtraction and division, or For example, the predetermined function PF is a statistical model (mathematical model). It can be a model (model) or a learning model. Weighting the scores between the evaluation items of data D1 and the evaluation items of mind-related data D2 You may do so.

[0132] In this case, multiple evaluation items of the biological-related data D1 and multiple evaluation items of the mind-related data D2 Among the evaluation items, combinations of evaluation items to be integrated (hereinafter referred to as "heterogeneous item combinations") Depending on the purpose of the integrated assessment, for example, The objectives are set and stored in the storage unit 160. The team may participate in determining the combination of different items. The evaluation items of Biological Data D1 (Biological Data D121) are "nutrient deficiency" and "magnesium". "Mind related data D2 (Mind data D21)" is an evaluation item. It is a combination with "thinking patterns" etc.

[0133] The heterogeneous item combination is one or more evaluation items of biological-related data D1 and mind-related data D2. A heterogeneous item combination is a combination of one or more evaluation items of the biometric data D1. The combination of the evaluation item and one evaluation item of the mind-related data D2 is not limited to this. The purpose of the evaluation is to identify problems that may be causing members problems such as decreased concentration or chronic fatigue. The purpose of this is to identify (estimate) the various root causes of the problems, of which there are multiple. For each purpose of evaluation, different combinations of items are predefined. However, the root cause may differ depending on the characteristics and circumstances of the members. For the same problem (e.g., decreased concentration), multiple combinations of different items are defined. In other words, there may be multiple root causes for a single issue for a member, so multiple A plurality of different item combinations are defined corresponding to the respective root causes.

[0134] For example, if the integrated score of a certain heterogeneous item combination for a member is above a certain value, The root cause corresponding to the combination of heterogeneous items is identified as the root cause of the issue of the member being evaluated. It is determined (estimated).

[0135] Specifically, the analysis unit 112 performs the following for each purpose of evaluation by integration (for each combination of different items): , calculate the member's integrated score. For example, if the member's problem is a decrease in concentration, For each combination of multiple heterogeneous items that correspond to the multiple root causes of the problem, Then, the analysis unit 112 calculates an integrated score. The integrated score of each of the combinations of several different items is used to determine which of the multiple root causes is the most important factor in the structure being evaluated. Identify (or estimate) one or more root causes that are causing the member's problems. For example, When there are multiple possible root causes for a problem, the combined score is a set of heterogeneous items that are greater than a certain value. The root causes corresponding to the problems are identified as the root causes of the issues of the constituents being evaluated.

[0136] The combined score and identified root causes are an example of an assessment result of a member's condition.

[0137] The storage unit 160 stores a plurality of action plan candidates for each problem that may arise for a member. In this case, an action plan candidate is prepared for each root cause. For example, from among multiple action plan candidates, select an action plan that corresponds to the issues and root causes of the members. Further, for example, the generation unit 113 selects an integrated action plan from among a plurality of action plan candidates. In this way, the generation unit 113 obtains candidate action plans according to the core. Then, the generation unit 113 generates a candidate action plan based on the evaluation result. Set up a supplement as an individual action plan.

[0138] FIG. 12 is a diagram showing an example of a group of action plan candidates PL20 for generating an individual action plan. In the figure, "q" represents an integer equal to or greater than 2. The action plan candidate group PL20 is stored in the storage unit 160. As shown in FIG. 12, the action plan candidate group PL20 is composed of action plan candidates for each implementation date. The action plan candidate information 710a includes the member's tasks and content. The content indicates the coaching details (coaching information) for solving the problem. The coaching content is determined, for example, from a biochemical perspective.

[0139] For example, the generation unit 113 selects from the group of action plan candidates PL20 a plan according to the evaluation result of the member's state. Then, the generating unit 113 acquires the plurality of pieces of action plan candidate information 710a. The plurality of pieces of action plan candidate information 710a are set in the plurality of pieces of action plan information 710 (FIG. 9). In this way, an individual action plan PL2 (FIG. 9) including multiple pieces of action plan information 710 is generated.

[0140] Still referring to FIG. 4, another example of the process for generating a personal action plan will be described. 12 is to comprehensively analyze the members' biometric data D1 and mind-related data D2. and evaluate the individual's condition.

[0141] In this case, for example, a plurality of individual evaluation candidates are stored in the storage unit 1 as candidates for evaluating the status of the members. 60 in advance. Therefore, the analysis unit 112 selects, from among the multiple individual evaluation candidates, Select individual evaluation candidates based on the results of the integrated analysis, and then submit the selected individual evaluation candidates to the In this case, the "results of the integrated analysis" are, for example, The analysis unit 112 may assign a priority (recommended rank) to the results. Two or more individual evaluation candidates may be selected. In this case, the analysis unit 112 controls the communication unit 150 to Through this, the integrated analysis results and two or more individual evaluation candidates with priorities (recommendations) are presented. The doctor terminal T3 then transmits the supplementary information to the doctor terminal T3. From the individual evaluation candidates, the individual evaluation candidate selected by the doctor according to the doctor's diagnosis The result is set as an evaluation result of the individual's condition and transmitted to the analysis unit 112 of the information processing device 100. In this case, the fact that the analysis unit 112 has acquired information on the evaluation result of the individual's condition is interpreted as This corresponds to the evaluation of the individual's condition by the analysis unit 112.

[0142] The doctor modifies the individual evaluation candidates selected by the analysis unit 112 or the doctor via the doctor terminal T3. In this case, the revised individual evaluation candidate is set as the evaluation result of the individual's condition. .

[0143] As described above, the analysis unit 112 uses the results of the integrated analysis and the data input via the doctor terminal T3. Based on the input information, the individual's condition may be evaluated. This allows us to obtain highly reliable evaluation results while ensuring legal and medical legitimacy. do.

[0144] When assessing the individual's condition, the health coach will use the health coach terminal T4 to , may be involved.

[0145] Furthermore, the generation unit 113 generates second action plan selection information ( For example, an individual action plan is generated according to the second action plan selection table. The information is used to select an individual action plan according to the results of the evaluation of the individual's condition. The second action plan selection information is stored in the storage unit 160. Specifically, the second action plan selection information The personal status information includes information in which a plurality of pieces of personal status information are associated with a plurality of action plan candidates. The state information is information that can be used as an evaluation of the state of an individual. The action plan selection information is referred to and associated with the personal condition information corresponding to the evaluation result of the personal condition. The candidate action plans are acquired and adopted as the individual action plans. The above-mentioned "integrated score" may be used as the "evaluation result of the individual's condition."

[0146] In this way, the second action plan selection information that systematically associates personal status information with action plan candidates is By using this, objective and consistent personal action plans can be generated through simple processing. The doctor can view the individual action plan generated by the analysis unit 112 via the doctor terminal T3. In this case, the revised personal action plan will be set as the final personal action plan. can be.

[0147] The generation unit 113 selects two or more action plan candidates by assigning priorities (recommended orders). In this case, the generation unit 113 may transmit the priority order (recommended order) via the communication unit 150. The information of two or more candidate action plans marked with " " may be transmitted to the member terminal T2. A member selects an action plan suitable for him / herself from two or more action plan candidates via a member terminal T2. A candidate action plan may be selected and the selected candidate action plan may be set as the personal action plan. The information on the motion plan is transmitted from the member terminal T2 to the generation unit 113 of the information processing device 100. In this case, the generation unit 113 acquires the individual action plan from the member terminal T2. This corresponds to the generation of a personal action plan by 113.

[0148] Alternatively, the personal action plan may be generated as follows: The generating unit 113 transmits the evaluation result of the individual's condition and information on the plurality of action plan candidates to the communication unit 15. 0 to at least the doctor terminal T3. Based on the results of the assessment of the individual's condition, the individual's task is selected from among several action plan candidates. Select an effective action plan candidate to solve the problem, and use the selected action plan candidate as an individual action plan. Then, the doctor terminal T3 sets the information of the individual action plan in the information processing device 100. In this case, the generation unit 113 receives the individual action plan from the doctor terminal T3. The benefit corresponds to the generation of the individual action plan by the generation unit 113. The selected candidate action plan is modified via terminal T3, and the modified candidate action plan is used as the personal action plan. It may be set in the plan.

[0149] In these examples, the "integrated score" described above is used as the "assessment result of the individual's condition." Also, via at least the doctor terminal T3, the doctor may select from among a plurality of action plan candidates. Two or more action plan candidates are selected based on the doctor's judgment and prioritization (recommended order). In this case, information on two or more candidate action plans with priorities (recommended order) may be The information processing device 100 transmits the information to the generating unit 113. The generating unit 113 then transmits the information to the communication unit 15. 0, information on two or more candidate action plans with priorities (recommended order) is sent to member terminals. Then, the member sends the candidate action plans to T2 via the member terminal T2. Choose the action plan that best suits you and use it as your personal action plan. The information on the individual action plan may be set from the member terminal T2 to the information processing device 100. In this case, the generation unit 113 receives the personal behavior plan from the member terminal T2. Acquiring the image corresponds to generation of an individual action plan by generation unit 113.

[0150] When generating the individual action plan, the health coach uses the health coach terminal T4 to , may be involved.

[0151] As described above, the generation unit 113 generates the evaluation result of the condition of the member and the The personal action plan may be generated based on the input information inputted by the user. contains information about the personal action plan (physician-entered information).

[0152] By using the information entered by the doctor, the analysis results of the biological function data D12 can be used to provide the doctor's clinical feedback. It is possible to provide more reliable and safer individual action plans that combine knowledge and diagnosis. As a result, effective support can be provided while ensuring legal and medical legitimacy. can be done.

[0153] Next, a detailed example of the biometric data D1 will be described with reference to FIGS.

[0154] FIG. 13 is a schematic diagram showing the self-evaluation data D11 of the biometric data D1. As shown, the self-assessment data D11 includes 71 biochemical categories, 72 evaluation items, and 72 questionnaire items. 73, response information 74, and evaluation score 75. The biochemical category 71 includes, for example, Nutrient deficiencies, damage to the body, adrenal glands, thyroid gland, mitochondrial function, neurotransmitters, intestines These are internal environment improvement, toxins, and brain function. The biochemical category 71 is used as an "evaluation item." Also, an evaluation score of 75 is an example of a "score."

[0155] The evaluation items 72 indicate evaluation targets included in the biochemistry category 71. For example, If the objective category 71 is "nutrient deficiency," the evaluation item 72 is magnesium, zinc, and and iron.

[0156] Multiple questions 73 for members are assigned to one evaluation item 72. The question items 73 are questions to evaluate the evaluation target indicated by the evaluation items 72. The answer information 74 includes answers to the questions in the question items 73. This is information indicating "yes" or "no" to the question in question item 73. The score 75 indicates a score according to the member's answer information 74 to the question in the question item 73 . For example, if the answer information 74 is "Yes", the evaluation score 75 is set to "1", and the answer information If 74 is "No", the evaluation score 75 is set to "0". For example, binary information.

[0157] The information processing device 100 may be configured to process a self-evaluation data set in which the answer information 74 and the evaluation score 75 have not yet been set. The member then sends the data D11 to the member terminal T2 as a questionnaire. 2, the answer information 74 is set in the questionnaire. The analysis unit 112 sets a score according to the answer information 74 as an evaluation score 75. The device 100 stores the self-evaluation data D11 and the member's identification in the biometric database device 200. Store it in association with other information.

[0158] FIG. 14 is a schematic diagram showing biological data D121 of the living body-related data D1. As shown in Figure 14, the biological data D121 is divided into biochemical category 91, evaluation item The biochemistry category 91 includes self-assessment data D The evaluation item 92 corresponds to the 11 biochemical categories 71 (Figure 13). The evaluation targets included in the biochemical category 91 correspond to 11 evaluation items 72 (Figure 13). Biochemical category 91 can also be considered as an "evaluation item."

[0159] The plurality of test information 93 may include, for example, a blood test (nutrients), a hair test, a blood sugar level test, a saliva test, etc. Lutisol test, microbiome test, urine organic acid test, and DNA test (methylation) The plurality of examination information 93 includes, for example, two or more pieces of information related to sleep. It may also include information about sleep tests. Inspection information 93 may be assigned, and two or more inspection information 93 may be assigned. good.

[0160] Each of the test information 93 includes biometric test information 931 extracted from a member's biometric sample; The evaluation score 932 is an example of a "score." 931 is, for example, blood test information on nutrients, hair test information, blood sugar test information, saliva Cortisol test information, microbiome test information, urinary organic acid test information, or DNA In addition, one piece of test information 93 is assigned to one evaluation item 92. The evaluation score 932 may be assigned to two or more pieces of test information 93. indicates the score according to the biopsy information 931.

[0161] Vital data D122 is configured in the same manner as biological data D121. will be done.

[0162] FIG. 15 is a schematic diagram showing analysis logic information LG1 for biological data D121. As shown in FIG. 15, the analysis logic information LG1 includes a biochemical category 201, The biochemical category 201 includes an evaluation item 202 and a plurality of pieces of judgment criteria information 203. Corresponds to Biochemical Category 91 of Biological Data D121 (Figure 14). 202 corresponds to the evaluation item 92 of Biological Data D121, and is Biochemical Category 2 The evaluation criteria information 203 indicates the evaluation targets included in the biopsy information 931 (FIG. 14). ) is determined. For example, the criteria are The reference information 203 defines a judgment condition for the test value indicated by the biopsy information 931. The score is assigned depending on whether the judgment criteria are met. For example, In 03, if the test value is above the threshold, the evaluation score 932 is set to "1" and the test value is below the threshold. If the score is less than 932, the evaluation score 932 is set to "0". is, for example, binary information.

[0163] The analysis unit 112 refers to the determination criteria information 203 and determines whether or not the biological test information 931 (FIG. 14) The evaluation score 932 (FIG. 14) is set accordingly.

[0164] 13 to 15, the analysis unit 112 evaluates the self-assessment data D11 (FIG. 13). The total score of 75 for item 72 and biological data D121 (Figure 14) The sum of the evaluation scores 932 in the evaluation items 92 is added to the result of the addition. The total score (hereinafter referred to as "total score TS") is calculated. As a result, the self-evaluation data D11 From Biological Data D121, for each of the 72 evaluation items (92 evaluation items), The total score TS is calculated. For example, the evaluation score for evaluation item 72 "Magnesium" is The total value of A75 and the evaluation of the same content as evaluation item 72, "Magnesium" By adding the total value of the value score 932, the evaluation item 72 (evaluation item 92) "Magnesium A total score TS for "Um" is calculated.

[0165] Then, the analysis unit 112 determines the evaluation item 72 (evaluation item For each item 92), evaluation information is set according to the total score TS. This is an example of a "core."

[0166] FIG. 16 shows the analysis logic for the self-evaluation data D11 and the biological data D121. 16 is a schematic diagram showing the analysis logic information LG2. As shown in FIG. 16, the analysis logic information LG2 includes Biochemical category 211, evaluation item 212, judgment criteria information 213, and evaluation information 214 Biochemical category 211 includes biochemical categories 71 and 91 (Figure 13, Figure 14). Item 212 corresponds to items 72 and 92 and is in the biochemical category 211. The criteria information 213 indicates the evaluation target included in the total score TS. In the example of FIG. 16, the determination criteria information 213 indicates the total score TS The analysis logic information LG2 includes the range of points for each range. , the evaluation information 214 for the total score TS is correlated in stages.

[0167] The analysis unit 112 determines the evaluation item 72 (evaluation item 92) based on the analysis logic information LG2. The evaluation information 214 is set according to the total score TS. The evaluation information 214 is an example of the evaluation result of the individual's condition.

[0168] The analysis unit 112 analyzes the biological data D121 and the self-evaluation data D By analyzing 11, the status of the members can be evaluated from a biochemical point of view. The validity of the subjective self-evaluation data D11 is verified by the objective biological data. This can be verified by data D121.

[0169] Next, a detailed example of the mind-related data D2 will be described with reference to FIGS.

[0170] FIG. 17 is a schematic diagram showing an example of the thinking tendency data D211 of the mind-related data D2. As shown in FIG. 17, the thinking tendency data D211 is made up of a plurality of section data A1 to A N is an integer equal to or greater than 2. Section data A1 to AN are collectively referred to as section It may be written as data An, where n is an integer of 1 or greater.

[0171] The section data An includes a plurality of segment data 10. The questionnaire includes question items 11, answer information 12, and an evaluation score 13. The evaluation score 13 is a This is an example of a "core." Question 11 is intended to identify the thinking tendencies based on the cognitive functions of members. In other words, Question 11 is a questionnaire that examines the thinking tendency based on the cognitive functions of members. The answer information 12 is a set of multiple answers to the questions in the question item 11. The answer candidate selected by the member from multiple answer candidates is included in the answer information 1. In the example of Figure 17, the black squares represent the answers selected by the members. The answer information 12 shows the answers of the members to the questions in the question item 11. The core 13 indicates the score set for the evaluation item (question item) according to the answer information 12. vinegar.

[0172] For example, section data A1 to A7 are each thinking patterns (how to do things) right-brain and left-brain balance (how logical is your information processing style?) (is it intuitive?), risk and reward (in what situations are you more likely to take action?), future and present Present / past (where is the timeline of decision-making), reward system (what motivates us) The modal channel (auditory, visual, emotional, or physical sense) determines how information is input. and how well the prefrontal cortex is functioning (how good are you at planning, self-control, and creativity). The titles of these sections A1 to A7 are also "Evaluation Items". Motivation can be understood as, for example, the motivation that prompts action.

[0173] The information processing device 100 may be configured to process the answer information 12 and the evaluation score 13 in a state where the answer information 12 and the evaluation score 13 are not set. The member sends the data D211 as a questionnaire to the member terminal T2. Answer information 12 is set in the questionnaire via T2. The analysis unit 112 sets a score according to the answer information 12 as the evaluation score 13. The management device 100 associates the thinking tendency data D211 with the identification information of the members, and The information is stored in the relational database device 300.

[0174] FIG. 18 is a diagram showing the analysis logic table TB1 for the thinking tendency data D211. As shown in FIG. 18, the analysis logic table TB1 is stored in the storage unit 160. The analysis logic table TB1 is assigned to each of the section data A1 to AN. The analysis logic information B1 to BN includes the analysis logic information B1 to BN obtained by the analysis logic information B1 to BN. N is an integer of 2 or more. The information B1 to BN may be collectively referred to as analysis logic information Bn, where n is an integer of 1 or greater. is.

[0175] The analysis logic information Bn includes cognitive psychology indicators 21, section information 22, and judgment criteria information 2 3 and type information 24.

[0176] The cognitive psychology index 21 is calculated by the section data An corresponding to the analysis logic information Bn. For example, the cognitive psychology index 21 indicates the category of thinking tendency identified by the section data. Corresponding to each of the data A1 to AN, the thinking pattern, information processing style, behavior type, The timeline of thought, the source of motivation, the dominant sensory channel, and the potential for self-growth. It is.

[0177] The section information 22 identifies the section data An corresponding to the analysis logic information Bn. The judgment criteria information 23 is information for determining the evaluation score 1 for each section data An. The total score of 14 (Figure 17) is the sum of the three scores. The type information 24 is information on the type of thinking tendency corresponding to each range defined in the judgment criteria information 23. The type information 24 may be, for example, analytical and risk management type, balanced type, or creative and It is goal-oriented.

[0178] The analysis unit 112 calculates a total score 14 of the evaluation scores 13 for each section data An. Then, the analysis unit 112 outputs the analysis logic information B corresponding to the section data An. The range to which the total score 14 belongs is identified by referring to the judgment criteria information 23 of the solution n. The analysis unit 112 refers to the type information 24 and determines the type corresponding to the range to which the total score 14 belongs. The total score is 14 and the type information is 2. 4 is an example of the results of an assessment of an individual's condition.

[0179] FIG. 19 is a schematic diagram showing an example of the behavior tendency data D212 of the mind data D21. As shown in FIG. 19, the behavioral tendency data D212 is made up of a plurality of section data C1 to CCK. K is an integer equal to or greater than 2. Section data C1 to CK are collectively referred to as section data. The data may be written as Ck, where k is an integer of 1 or greater.

[0180] The section data Ck includes a plurality of segment data 30. The questionnaire includes a question item 31, answer information 32, and an evaluation score 33. The question item 31 is configured as follows: This includes questions to identify behavioral tendencies based on psychological or mental factors of employees. Therefore, Question 31 is intended to identify behavioral tendencies based on psychological or mental factors of members. The answer information 32 is a list of multiple answer candidates for the question 31. The answer candidate selected by the member from the plurality of answer candidates is included as answer information 32. The answer information 32 indicates the answers of the members to the questions in the question items 31. The core 33 indicates the score set for the evaluation item (question item) according to the answer information 32. The evaluation score of 33 is an example of a "score."

[0181] The case where K=6 is illustrated. For example, the section data C1 to C6 are CRM (Cognitive Response Model) "Analyzer" (analysis, organization, planning) ), "Believer" (trust, mission, ethics), "Empathizer" (warmth, "Innovator" (creativity, play, freedom), "Driver" (challenge) Questions about "Reflector" (insight, serenity, conception) Including 31.

[0182] The CRM model focuses on "which cognitive pathways people prioritize when under stress or making decisions." This is a model that performs accurate diagnosis. iever”, “Empathizer”, “Innovator”, “Driver” "Reflector" and "Reflector" indicate personality types. Each type is related to information processing. They are distinguished by their reasoning style, motivation, interpersonal tendencies, and stress responses.

[0183] The information processing device 100 may use the behavioral tendency data in which the answer information 32 and the evaluation score 33 have not yet been set. The member has sent the data D212 as a questionnaire to the member terminal T2 in advance. The answer information 32 is set in the questionnaire via the member terminal T2. 100 (analysis unit 112) sets a score according to the answer information 32 as the evaluation score 33 In the example of FIG. 19, black squares indicate answers by members. 0 associates the behavioral tendency data D212 with the member's identification information to generate mind-related data The base device 300 stores the information.

[0184] Next, referring to FIG. 20, analysis logic information EX and The analysis logic table TB2 will be explained. Rule TB2 is stored in storage unit 160.

[0185] FIG. 20(a) is a schematic diagram showing the analysis logic information EX. As shown in FIG. 20(a), The analysis logic information EX includes rule information for determining the type of behavioral tendency of members. The rule information is the total score, which is the sum of the evaluation scores 33 for each section data Ck. 34 (Figure 19) and identify the type of behavioral tendency according to the ranking. For example, the section data Ck corresponding to the section data Ck having the largest total score of 34 is Personality types (e.g., "Analyzer") are used to define the basic behavioral tendencies of members. Also, specify the second highest total score (e.g., Base). The personality type (e.g., "Dr Identify the subtypes (e.g., Phases) of members' behavioral tendencies. You may do so.

[0186] The analysis unit 112 calculates the total score 34 of the evaluation score 33 for each section data Ck. Then, the analysis unit 112 refers to the analysis logic information EX and ranks the results. The type of behavioral tendency of the members is identified according to the ranking of the total score 34. 34 and the type of behavioral tendency are examples of the results of an assessment of an individual's state.

[0187] FIG. 20(b) is a schematic diagram showing the analysis logic table TB2. As can be seen, the analysis logic table TB2 includes a plurality of pieces of analysis logic information F1 to FK. K is an integer equal to or greater than 2. The analysis logic information F1 to FK is collectively referred to as analysis logic information Fk where k is an integer of 1 or greater.

[0188] In the analysis logic information Fk, the personality type corresponding to the section data Ck is and attribute information of the personality type indicated by the type information 41. The attribute information is, for example, a personality type characteristic (e.g., , psychological needs), and recommended responses (e.g., communication tips).

[0189] The analysis unit 112 selects the analysis logic information F1 to FK based on the analysis logic information EX. The analytical logic corresponding to the type of behavioral tendency (personality type) of the members identified by the analysis By referring to the network information Fk, attribute information 42 associated with the type of behavioral tendency of the member is identified and acquired. The attribute information 42 is an example of the evaluation result of the individual's condition.

[0190] FIG. 21 is a schematic diagram showing an example of the interview data D22. The data D22 includes first interview information D221 and second interview information D222.

[0191] The first interview information D221 includes question items 51, record information 52, standard scores 53, and evaluation standard information. The information includes a rating 54 and an evaluation score 55. The evaluation score 55 is an example of a "score."

[0192] Question item 51 includes questions to identify the thinking and / or behavioral tendencies of members. In other words, Question 51 is intended to identify the thinking and / or behavioral tendencies of members. Question 51 is an evaluation item for "experiences of challenging high goals." And so on.

[0193] Recorded information 52 includes the answers of members to questions 51 during interviews conducted by mind coaches and The standard score 53 includes a record of the results of the evaluation and observation. The evaluation criteria information 54 indicates the score to be given when the answer of the member corresponds to the question item. 51 to evaluate the thinking and / or behavioral tendencies of members based on the recorded information 52 The criteria for the evaluation are shown. The criteria score 53 and evaluation criteria information 54 are options. Evaluation score 55 For the evaluation items, the answer results of the members are calculated by referring to the standard score 53 and the evaluation standard information 54. The actual score awarded is shown based on the results.

[0194] During the interview via the Mind Coach terminal T5 and the member terminal T2, the Mind Coach , the members are asked questions 51 and record information 52. The coach refers to the standard score 53 and the evaluation criteria information 54 and evaluates the answers and observations of the members. Based on the results, a rating score of 55 is set.

[0195] The information processing device 100 transmits the first interview information D221 as a questionnaire to the member terminal T2. The member may then send the questionnaire via the member terminal T2, The evaluation score for question 51 is set to 55. In this case, the mind coach ,The pre-assessment scores 55 (response results) by the members and the interview ,responses to the same questions 51. You can see the difference between this and the 55 score given by a mind coach.

[0196] The second interview information D222 includes observation items 56, record information 57, standard scores 58, and evaluation criteria information. The information includes a rating 59 and an evaluation score 60. The evaluation score 60 is an example of a "score."

[0197] Observation items 56 are observations made during interviews to identify members' thinking and / or behavioral tendencies. In other words, the observation items 56 indicate the thinking and / or behavioral tendencies of the members. Observation item 56 is, for example, the observation of "goal setting and motivation to achieve" The recorded information 57 is the structure of the observation items 56 during the interview by the mind coach. Includes records of member observations.

[0198] The standard score 58 indicates whether the observation results of the members correspond to the standards indicated by the evaluation standard information 59. The evaluation criteria information 59 indicates the score to be given to the members based on the observation items 56. The following criteria are used to assess the thinking and / or behavioral tendencies of individuals. The quasi-information 59 is an option. The evaluation score 60 is calculated by dividing the standard score 58 and the The evaluation criteria information 59 is referenced to indicate the actual score given according to the observation results of the members.

[0199] During the interview via the Mind Coach terminal T5 and the member terminal T2, the Mind Coach The mind coach observes the members based on 56 observation items. 8 and the evaluation criteria information 59, and set an evaluation score 60 based on the observation results of the members. do.

[0200] The interview data D22 is stored in the mind-related database from the mind coach terminal T5. The information is transmitted to the device 300.

[0201] The analysis unit 112 analyzes the mind data D21 and the interview data D22 of the members. By doing so, it is possible to evaluate the state of members from a psychological or mental perspective. The analysis unit 112 analyzes the mind data D21 and the interview data D22 of the members. At least one of the thinking tendency and the behavior tendency of the member is identified. 2 is the thinking and behavioral tendencies of the member that can be obtained through interviews between the mind coach and the member. Therefore, it is information on at least one of the following two points. In addition to data D21, by including interview data D22 in the analysis, it is possible to understand the thinking tendencies and / or This allows for more accurate and in-depth identification of behavioral trends.

[0202] Next, the flow of processing by the information processing device 100 will be explained with reference to FIGS. 2, 22, and 23. Reveal.

[0203] FIG. 22 is a flowchart showing an example of an information processing method relating to an organization according to this embodiment. The information processing method is executed by the information processing device 100 in FIG.

[0204] As shown in Fig. 22, the information processing method includes steps S1 to S13. The program stored in the storage unit 160 of the processing device 100 causes the processing unit 110 to execute step S1 1 to step S13. That is, the program product is When the program is executed, steps S1 to S13 are realized. This corresponds to an example of a "computer" in the present disclosure.

[0205] First, in step S1, the acquiring unit 111 acquires from the biological-related database device 200 , and obtain the member's biometric data D1.

[0206] Next, in step S2, the analysis unit 112 analyzes the biological-related data D1. Based on the results, the condition of the members is evaluated from a biochemical perspective.

[0207] Next, in step S3, the acquisition unit 111 acquires the mind-related database device 300 The mind-related data D2 of the members is obtained from the

[0208] Next, in step S4, the analysis unit 112 analyzes the mind-related data D2 and Based on the analysis results, the condition of the members is evaluated from a psychological perspective.

[0209] Next, in step S5, the analysis unit 112 performs the following analysis based on the analysis result of the biological-related data D1. <The results of the member's condition evaluation and the member's condition based on the analysis results of the mind-related data D2 The evaluation results are analyzed in an integrated manner to obtain the integrated analysis results.

[0210] Next, in step S6, the analysis unit 112 performs the following for all members who are the support recipients: Then, it is determined whether the processing of steps S1 to S5 has been completed.

[0211] If a negative determination is made in step S6 (NO), the process proceeds to step S1, where another structure is Processing for the members is performed.

[0212] On the other hand, if the determination in step S6 is affirmative (YES), the process proceeds to step S7. .

[0213] Next, in step S7, the analysis unit 112 calculates the integrated analysis results for all members. (Step S5) is compiled and analyzed, and the status of the organization is determined based on the results of the compilation and analysis. Evaluate.

[0214] Next, in step S8, the generation unit 113 generates an action plan for the organization from the action plan candidates for the organization. The candidate action plans associated with the evaluation results of the organization's status are acquired, and the candidate action plans are applied to the organization. The organization action plan is set as the organization action plan. The storage unit 160 stores the organization action plan.

[0215] Next, in step S9, the output control unit 114 displays the organizational action plan on the organizational terminal T1. Show it.

[0216] Next, in step S10, the generation unit 113 generates the integrated analysis results for all the members. Based on the results of the analysis and compilation of the results (Step S7), an organizational root cause map is generated. The generation unit 113 generates the analysis result of the mind-related data D2 for all members. The storage unit 160 may generate an organizational root cause map based on the organizational root cause map. Remember.

[0217] Next, in step S11, the output control unit 114 outputs the organizational root cause map to the organizational terminal. Display it on T1.

[0218] Next, in step S12, the generation unit 113 performs step S The analysis results of step S2, the analysis results of step S4 for all members, and step S7 Generate an organizational evaluation report based on the results of the integrated analysis and the results of that analysis. The storage unit 160 stores the tissue evaluation report.

[0219] Next, in step S13, the output control unit 114 outputs the organization evaluation report to the organization terminal T 1. The information processing method then ends.

[0220] The order of steps S1 and S2 and steps S3 and S4 may be reversed. Steps S10, S11, S12, and S13 can be performed at any time after step S7. It can be executed in minutes.

[0221] Also, based on the biological data D1 including at least the biological data D121 When generating an organizational action plan, steps S3 to S5 are omitted. In S7, the analysis unit 112 collects the analysis results of the bio-related data D1 for all members. The state of the organization is evaluated based on the results of the measurement and analysis.

[0222] FIG. 23 is a flowchart showing an example of a member-related information processing method according to this embodiment. The information processing method is executed by the information processing device 100 in FIG.

[0223] As shown in Fig. 23, the information processing method includes steps S21 to S31. The program stored in the storage unit 160 of the processing device 100 causes the processing unit 110 to execute step S That is, the program product executes steps S21 to S31 by the processing unit 110. When the program is executed, steps S21 to S31 are realized. 0 is an example of a "computer" in this disclosure.

[0224] First, steps S21 to S24 are executed. The processes in steps S1 to S4 are the same as those in steps S1 to S4 in FIG.

[0225] Next, in step S25, the analysis unit 112 performs the following analysis based on the analysis result of the biological-related data D1. The results of the evaluation of the members' condition based on the results of the analysis of the mind-related data D2 The results of the assessment of the members' condition are analyzed in an integrated manner, and the members' condition is evaluated based on the analysis results.

[0226] Next, in step S26, the generation unit 113 generates a candidate action plan for the member from the candidate action plan group. ,obtaining candidate action plans associated with the evaluation results of the ,members’ states (step S25); The candidate action plan is set as a personal action plan. The memory unit 160 stores the personal action plan. do.

[0227] Next, in step S27, the output control unit 114 outputs the individual action plan to the member terminal T2. Display it on.

[0228] Next, in step S28, the generation unit 113 generates the integrated analysis result (step S25 ) based on the individual root cause map. The storage unit 160 may generate a personal root cause map based on the analysis results. Memorize the causal map.

[0229] Next, in step S29, the output control unit 114 outputs the individual root cause map to the member terminal. Display it on T2 at the end.

[0230] Next, in step S30, the generation unit 113 generates the result of the analysis in step S22. Based on the analysis results of step S24 and the integrated analysis results of step S25, an individual evaluation report is generated. The storage unit 160 stores the individual evaluation report.

[0231] Next, in step S31, the output control unit 114 outputs the personal evaluation report to the member terminal. The information processing method then ends.

[0232] The order of steps S21 and S22 and steps S23 and S24 may be reversed. Steps S28, S29, S30, and S31 are performed after step S25. , can be executed at any time.

[0233] (Example of the use of generative AI (artificial intelligence)) The generation unit 113 generates, for example, a large language model (LLM) or the like. The organizational action plan can be generated using AI. The following explains this using LLM as an example.

[0234] For example, the information processing device 100 may provide the LLM with prompts and reference data (context, Enter the text data to generate an organizational action plan.

[0235] In this case, as a first example, the reference data includes biometric data D1 for each member, biometric data D2 for each member, and Analysis logic information for analyzing data D1 (e.g., analysis logic information LG1, LG 2) Rules for the compilation and analysis of the analysis results of biometric data D1 of multiple members, candidates for organizational action plans Action plan candidate groups including supplementary plans (e.g., action plan candidate group PL10), and action plan selection criteria The action plan selection rules include the first action plan selection rules (e.g., first action plan selection information). The action plan selection rules are based on the aggregation and analysis rules. <Analysis results of bio-related data D1 and optimal action plan candidates when the analysis results are obtained The analysis result is, for example, the scoring result of the biological-related data D1. Evaluation results of tissue condition based on the results (including aggregated results) and / or bio-related data D1 The biometric data D1 includes at least the following: Also includes biological data D121. Furthermore, the prompt is: (1) For each member, (2) analyzing the body-related data D1 according to the analysis logic information; (3) Compile and analyze the results in accordance with the rules for compilation and analysis, and refer to the rules for selecting action plans. The action plan candidates associated with the analysis results obtained according to the aggregation analysis rules are called organizational action plans. (4) The specific content of the selected organizational action plan is selected from the group of action plan candidates. (5) generating image information of the organizational action plan according to a predetermined format; and,

[0236] For example, the analysis unit 112 executes the processes corresponding to prompts (1) to (3), The generation unit 113 inputs the execution result (analysis result) into the LLM, and the LLM responds with a prompt ( The processes 4) and (5) may be executed.

[0237] As a second example, the reference data may be the biometric data D1 for each member, the biometric data D1 Analysis logic information for analyzing the mind-related data D2 for each member, Analysis logic information for analyzing the continuous data D2 (for example, analysis logic information Bn, EX , Fk), the analysis results (scoring results) of biological-related data D1 and mind-related data D The integration rule (for example, a predetermined function PF ), aggregation and analysis rules, action plan candidates including organizational action plan candidates, and action plan selection rules. Includes rules.

[0238] In this case, the aggregation and analysis rules are the biometric data D obtained for each member according to the integration rules. Analysis results of 1 (scoring results) and analysis results of mind-related data D2 (scoring results) The rules for aggregation and analysis of the integrated analysis results (e.g., integrated scores) with the results of the analysis. The plan selection rules are based on the analysis results based on the aggregation analysis rules and the optimal plan when the analysis results are obtained. The analysis results based on the aggregation analysis rules are, for example, It includes the results of the tissue status assessment and / or the aggregated results of the integrated score. The data D1 includes at least biological data D121. The mind-related data D2 is , including at least Mind Data D21.

[0239] Furthermore, the prompt (1) converts the biometric data D1 into analysis logic information for each member. Therefore, (2) for each member, the mind-related data D2 is analyzed and the logic information is (3) Analyze the analysis results of the bio-related data D1 and the (4) For all members, ,The integrated analysis results shall be compiled and analyzed in accordance with the compilation and analysis rules; (5) Action plan selection rules The action plan candidates associated with the analysis results obtained according to the aggregation analysis rules are compiled by referring to the (6) The specific content of the selected organizational action plan is compiled into an action plan. (7) Obtaining image information of organizational action plans according to a prescribed format. generating.

[0240] For example, the information processing device 100 may provide the LLM with prompts and reference data (context, Enter the text data to generate a personal action plan.

[0241] In this case, as a third example, the reference data is the member's biometric data D1, biometric data D2, Analysis logic information for analyzing data D1, member's mind related data D2, mind Analysis logic information for analyzing the related data D2, analysis results of the bio-related data D1 (sequence Integration rules for the analysis results (scoring results) of the Mind-related Data D2 rules, aggregation and analysis rules, candidate personal plans including candidate personal action plans, and action plan selection rules Includes rules.

[0242] Furthermore, the aggregation and analysis rules include the analysis of the member's biometric data D1 obtained according to the integration rules. Results (scoring results) and analysis results of mind-related data D2 (scoring results) Rules for tabulating and analyzing the integrated analysis results (e.g., integrated scores) of the above. Action plan selection The rules are based on the analysis results based on the aggregation analysis rules and the optimal action plan when the analysis results are obtained. The analysis results based on the aggregation analysis rules are, for example, the The status evaluation results and / or the aggregated results of the integrated score are included. Also, the biometric data D1 The data D2 includes at least biological data D121. At least includes Mind Data D21.

[0243] Furthermore, the prompt (1) analyzes the member's biometric data D1 according to the analysis logic information. (2) analyzing the member's mind-related data D2 according to the analysis logic information; (3) In accordance with the integration rules, the analysis results of the biological-related data D1 and the mind-related data D2 are integrated. (4) The results of the integrated analysis will be analyzed in accordance with the tabulation analysis rules. (5) The data will be compiled and analyzed in accordance with the compilation and analysis rules, with reference to the action plan selection rules. selecting the candidate action plans associated with the analysis results obtained as the individual action plans; (7) Obtain the specific content of the selected personal action plan from the group of personal plan candidates; generating image information of the personal action plan according to the format.

[0244] In the second and third examples, for example, the processes corresponding to prompts (1) to (4) The analysis unit 112 executes the above, and the generation unit 113 inputs the execution result (analysis result) into the LLM. Then, the LLM may execute the processing of prompts (5) to (7).

[0245] For example, the information processing device 100 (the generation unit 113) may generate a prompt and a reference for the LLM. Enter context data to generate the Organization Assessment Report 500 or Organization Root Cause Generate map MP1.

[0246] In this case, as a fourth example, the reference data is the analysis result of the biometric data D1 of multiple members. Results (scoring results, evaluation results of the state of the organization), mind-related data of multiple members D 2. Analysis results (scoring results, evaluation results of the organizational status), The results of the integrated analysis of body-related data D1 and mind-related data (integrated score, tissue state) This includes information on the visualization format (display format) of the analysis results, as well as the evaluation results. The Organization Assessment Report 500 or Organization Root Cause Management The prompt is information that defines the configuration of the MP1. Visualize the analysis results of the bio-related data D1 and mind-related data D2 of several members, generating image information representing the organizational assessment report 500 or the organizational root cause map MP1; show.

[0247] In the fourth example, as in the first to third examples, the LLM will submit an organizational evaluation report based on the analysis. It is also possible to execute the process up to the generation of the route 500, etc.

[0248] Furthermore, for example, the information processing device 100 (the generation unit 113) may send a prompt to the LLM. and reference data (context data) to generate a personal assessment report 800 or personal root In this case, as a fifth example, the reference data may be Analysis results of member's biological related data D1, analysis results of member's mind related data D2, The results of the integrated analysis of the biological data D1 and mind-related data of the employee, and the analysis Contains information on the visualization form (display form) of the results. Prompts are displayed according to the visualization form information. ,The analysis results of the members' bio-related data D1 and mind-related data D2 are visualized, Generate image information representing a person assessment report 800 or a personal root cause map MP2. In the fifth example, as in the first to third examples, the LLM will provide a personal evaluation report based on the analysis. It is also possible to execute the process up to the generation of port 800, etc.

[0249] (Summary of biological data D1 and mind-related data D2) The biological data D1 to be analyzed by the analysis unit 112 is biological data D121 Preferably, the biometric data D1 includes biological data D121 and vital data D122. More preferably, the living body-related data D1 includes biological data D122. In addition to the data D121, the data D122 includes self-assessment data D11 and / or vital data D122. The mind-related data D2 to be analyzed by the analysis unit 112 is mind data D21 The mind data D21 includes thought tendency data D211. The data D21 includes thinking tendency data D211 and behavior tendency data D212. Preferably, the mind-related data D2 includes mind data D21 and interview data D22. include.

[0250] (Variation) A modification of this embodiment will be described with reference to FIG. 4. In the above embodiment, attention is focused on tissue. , organizational action plans PL1, etc. are generated. However, in a modified example, attention is paid to individuals, and individual action plans are generated. In a variant, the personal assessment report 800 and / or the personal root causes are generated. In a modified example, an organizational action plan PL1, an organizational evaluation report 5, and an organizational action plan PL2 may be generated. 00, and do not create the Organizational Root Cause Map MP1.

[0251] In the modified example, the analysis unit 112 analyzes at least the biological-related data D1 to Preferably, the analysis unit 112 evaluates the state of the subject based on the biological data D1 and the mind data D2. The related data D2 is analyzed to evaluate the state of the subject. 12 is a system that analyzes biological data D1 and mind-related data D2 in an integrated manner. The subject is an example of an "individual."

[0252] The generation unit 113 generates a problem solving program for the subject based on the evaluation result of the subject's condition. The generation unit 113 generates an individual action plan PL2. , the analysis result of the mind-related data D2, the biological-related data D1 and the mind-related data D2 Based on the integrated analysis results and / or the evaluation results of the subject's condition, an individual evaluation report8 00 and / or personal root cause maps MP2 may be generated.

[0253] Among the biological-related data D1 and mind-related data D2 analyzed by the analysis unit 112, The details are as described with reference to FIG. 3. In addition, in the description of the above embodiment, By replacing "member" with "subject (individual)", the modified form is excluding the part related to the organization. For example, the processing according to the flowchart of FIG. The same can be done in the same way.

[0254] In the modified example, as in the above embodiment, biological data, which is biochemical data, is used. Bio-related data D1 including data D121 and mind data D21 based on psychological factors Therefore, the mind data D21 is used to analyze both the mind-related data D2 and the mind-related data D3. By doing so, we will complement psychological factors that cannot be captured by biological data alone, and The psychological data D121 provides medical validity that cannot be obtained from the mind data D21 alone. This synergistic effect will improve the accuracy of the assessment of the subject's condition. Therefore, it is possible to generate an effective personal action plan PL2 that is personalized for the subject. In other words, the modified version aims to improve the accuracy of assessing the individual's condition and thereby solve the individual's problems. In addition, the modified example can be modified in the same manner as the above embodiment. The effect on members in this state is the same as that on members in this state.

[0255] The preferred embodiments and modifications of the present disclosure have been described in detail above with reference to the accompanying drawings. However, the technical scope of the present disclosure is not limited to such examples. A person with the above knowledge would understand that, within the scope of the technical idea described in the claims, Obviously, various modifications and variations are possible, and these are of course also included in the present invention. It is understood that this falls within the technical scope of the present disclosure.

[0256] Furthermore, the devices or systems described in this specification may be implemented as standalone devices. Often, multiple devices (e.g., cloud servers) are partly or entirely connected via a network. This may be realized by the following.

[0257] Furthermore, the series of processes performed by the device described in this specification may be implemented by software, hardware, or both. The present invention may be realized using either software or a combination of software and hardware.

[0258] Furthermore, processes described herein using flowchart diagrams are not necessarily illustrated. Some processing steps may be performed in parallel. Additionally, additional processing steps may be employed, and some processing steps may be omitted. good.

[0259] Furthermore, the effects described herein are merely illustrative or exemplary and are not limiting. In other words, the technology according to the present disclosure has the above-mentioned effects in addition to or instead of the above-mentioned effects. In addition, other effects that will be apparent to those skilled in the art from the description of this specification may be achieved.

[0260] The following configurations also fall within the technical scope of the present disclosure.

[0261] (Item 1) At least, by analyzing the biometric data of multiple members belonging to the organization, an analysis unit for evaluating the state of the weave; A first action plan to solve the organization's problems based on the results of the assessment of the organization's status. a generating unit that generates The biometric data is biometric information extracted from a biometric sample of the member. An information processing device including logical data.

[0262] (Item 2) The analysis unit analyzes the biological-related data and mind-related data of the plurality of members. to evaluate the state of the tissue, the mind-related data includes mind data; The mind data is thought tendency data indicating thought tendencies based on the cognitive functions of the members. and behavioral tendency data indicating behavioral tendencies based on psychological or mental factors of the members. Item 1. The information processing device according to item 1, including at least one of the following data.

[0263] (Item 3) The analysis unit analyzes the biological-related data and the mind-related data for the plurality of members. 3. The information processing method according to item 2, wherein the state of the tissue is evaluated by comprehensively analyzing the data. Device.

[0264] (Item 4) The analysis unit The scores of the evaluation items of the biological-related data and the scores of the evaluation items of the mind-related data Calculate an integrated score for each of the members based on A, The integrated scores are tallied for the plurality of members, and the organization is evaluated based on the tallied results. Item 4. The information processing device according to item 3, which evaluates a condition.

[0265] (Item 5) the generation unit generates the first action plan in accordance with first action plan selection information; The first action plan selection information relates a plurality of organizational state information to a plurality of action plan candidates, respectively. Contains linked information, The generation unit refers to the first action plan selection information and generates an action plan in response to an evaluation result of the state of the organization. The action plan candidate associated with the corresponding organizational state information is obtained, and the obtained action plan candidate is 3. The information processing device according to item 1 or 2, wherein the candidate plan is adopted as the first action plan.

[0266] (Item 6) the biometric data includes self-assessment data based on input from the member; The self-assessment data is used to identify the biochemical causes of symptoms in humans. a score for each of a plurality of evaluation items; The biological data includes the biological information related to the evaluation item. Item 2 is an information processing device.

[0267] (Item 7) The biological data includes vital data indicating the vital signs of the member. Item 1 or 2. An information processing device.

[0268] (Item 8) The thought tendency data includes a plurality of data for identifying thought tendencies based on the cognitive functions of the members. The score for each of the evaluation items is Item 2 or Item 3, wherein the score is based on an input from the member. Device.

[0269] (Item 9) The behavioral tendency data is a data that specifically indicates behavioral tendencies based on psychological or mental factors of the members. the scores for each of a plurality of evaluation items for determining Item 2 or Item 3, wherein the score is based on an input from the member. Device.

[0270] (Item 10) The mind-related data includes interview data; The interview data is obtained by using the data from the interview with an expert on the evaluation of human thinking tendencies and / or behavioral tendencies. To present the results of interviews with members and evaluate their thinking and / or behavioral tendencies 4. The information processing device according to item 2 or 3, comprising scores for each of a plurality of evaluation items.

[0271] (Item 11) The analysis unit analyzes the causes of the organizational issues based on at least the mind-related data. Based on the results of the identification of the cause, the organization identifies the errors that may occur. Estimate the event, The results of identifying the cause and the estimation of the error event, as well as a diagram showing the issues in the organization an output control unit that generates image information and displays the image information on a terminal of the tissue; Item 2 or Item 3. The information processing device according to item 2 or 3.

[0272] (Item 12) The generation unit generates the basis of the first action plan by using the biological-related data and the mind-related data. Item 4. The information processing device according to item 2 or 3, wherein the information processing device generates the information based on a result of analyzing the data.

[0273] (Item 13) The first action plan will address the issue of employee turnover based on the results of the organizational status assessment. Coaching information for resolving issues related to employees on leave, Coaching information to solve issues related to organizational culture Coaching information and one or more of the following coaching information to solve sales challenges 3. The information processing device according to item 1 or 2, including the above information.

[0274] (Item 14) The analysis unit analyzes the biological-related data and the mind-related data for each of the members. analyzing the status of the member; The generation unit generates the member status information for each of the members based on the evaluation result of the member status. generating a second action plan for solving the problem of the employee, Device.

[0275] (Item 15) The generating unit is configured to generate a medical record based on the evaluation result of the member's condition and the input data inputted via the doctor's terminal. Item 15. The information processing device according to item 14, wherein the second action plan is generated based on force information.

[0276] (Item 16) the generation unit generates the second action plan in accordance with second action plan selection information; The second action plan selection information relates a plurality of pieces of personal status information to a plurality of action plan candidates, respectively. Contains linked information, The generation unit refers to the second action plan selection information and generates an action plan based on the evaluation result of the member's status. The action plan candidate associated with the corresponding personal state information is obtained, and the obtained action plan candidate is Item 15. The information processing device according to item 14, wherein the candidate action plan is adopted as the second action plan.

[0277] (Item 17) The computer analyzes at least the biometric data of multiple members of an organization. assessing the condition of the tissue by measuring the The computer solves the problems of the organization based on the evaluation result of the state of the organization. generating a first action plan for The biometric data is biometric information extracted from a biometric sample of the member. Information processing methods, including theoretical data.

[0278] (Item 18) On the computer, At least, by analyzing the biometric data of multiple members belonging to the organization, assessing the condition of the weave; A first action plan to solve the organization's problems based on the results of the assessment of the organization's status. and generating a The biometric data is biometric information extracted from a biometric sample of the member. A program containing logical data. [Explanation of symbols]

[0279] 100 information processing device, 111 acquisition unit, 112 analysis unit, 113 generation unit, 114 Output control unit, T1 organization terminal, T2 member terminal, T3 doctor terminal, T4 health coach Terminal, T5 Mind Coach Terminal

Claims

1. an analysis unit that evaluates the state of the subject by analyzing biological-related data and mind-related data of the subject; a generation unit that generates an action plan for solving the problem of the subject based on the evaluation result of the condition of the subject, the biological-related data includes biological data indicating biological information extracted from a biological sample of the subject; the mind-related data includes mind data; The mind data includes at least one of thought tendency data indicating a thought tendency based on the cognitive function of the subject, and behavior tendency data indicating a behavior tendency based on psychological or mental factors of the subject, the biological-related data includes self-assessment data based on input by the subject; The self-assessment data includes a plurality of assessment items and a plurality of scores for identifying a cause of a symptom appearing in a human from a biochemical perspective; the biological data includes a plurality of evaluation items and a plurality of scores; the plurality of evaluation items of the biological data include evaluation items with the same content as the evaluation items of the self-assessment data, The analysis unit calculates the score of the evaluation item of the biological-related data based on the score of the evaluation item of the self-assessment data and the score of the evaluation item of the biological data that has the same content as the evaluation item of the self-assessment data.

2. the generation unit generates the action plan in accordance with action plan selection information; the action plan selection information includes information associating a plurality of pieces of personal condition information with a plurality of action plan candidates, The information processing device according to claim 1 , wherein the generation unit refers to the action plan selection information to obtain the action plan candidate associated with the personal condition information corresponding to the evaluation result of the subject's condition, and adopts the obtained action plan candidate as the action plan.

3. The mind-related data includes interview data; 3. The information processing device of claim 1, wherein the interview data indicates the results of an interview between the subject and an expert in the evaluation of human thinking tendencies and / or behavioral tendencies, and includes scores for each of a plurality of evaluation items for evaluating the subject's thinking tendencies and / or behavioral tendencies.

4. 3. The information processing device according to claim 1, further comprising an output control unit that displays, on a terminal of the subject, information that visualizes a structured chain from the cause of the subject's problem to the problem itself.

5. The analysis unit Identifying the cause of the subject's problem by analyzing the biological-related data and the mind-related data, and estimating physiological damage that may occur to the subject based on the cause identification result; Inferring a body system related to the physiological damage based on the result of the physiological damage estimation; 3. The information processing device according to claim 1, further comprising an output control unit that generates image information showing the results of identifying the cause, the results of estimating the physiological damage, the results of estimating the internal body system, and the subject's problems, and displays the image information on the subject's terminal.

6. The information processing device according to claim 1 , wherein the analysis unit evaluates a state of the subject by comprehensively analyzing the biological-related data and the mind-related data of the subject.

7. The information processing device according to claim 1 or claim 2, wherein the analysis unit calculates an integrated score for the subject based on the scores of the evaluation items of the biological-related data and the scores of the evaluation items of the mind-related data, and evaluates the condition of the subject based on the integrated score.

8. The information processing device according to claim 1 , wherein the biological-related data includes vital data indicating a vital sign of the subject.

9. The thinking tendency data includes scores for each of a plurality of assessment items for identifying a thinking tendency based on the cognitive function of the subject, The information processing device according to claim 1 , wherein the score is based on an input from the subject.

10. The behavioral tendency data includes scores for each of a plurality of evaluation items for identifying a behavioral tendency based on psychological factors or mental factors of the subject, The information processing device according to claim 1 , wherein the score is based on an input from the subject.

11. 3. The information processing device according to claim 1, wherein the action plan includes one or more of coaching information for solving nutritional issues and coaching information for solving lifestyle issues, depending on the evaluation results of the subject's condition.

12. The information processing device according to claim 1 , wherein the generation unit generates the action plan based on an evaluation result of the subject's condition and input information input via a doctor's terminal.

13. The analysis unit calculates an integrated score by integrating the scores of the evaluation items of the biological-related data and the scores of the evaluation items of the mind-related data using a predetermined function, and evaluates the state of the subject based on the integrated score; The information processing device according to claim 1 , wherein a score is weighted between the evaluation item of the biological-related data and the evaluation item of the mind-related data.

14. An information processing device as described in Claim 6, wherein the combination of evaluation items to be integrated among the multiple evaluation items of the bio-related data and the multiple evaluation items of the mind-related data is predetermined according to the purpose of the evaluation by integration and stored in a memory unit.

15. When the mind data includes the thought tendency data, the thought tendency data includes a plurality of first section data; each of the plurality of first section data includes a plurality of first segment data; Each of the plurality of first segment data includes an evaluation item and a score for identifying a thinking tendency based on the cognitive function of the subject, the analysis unit identifies a type of thinking tendency of the subject based on the scores included in the plurality of first segment data for each of the first section data, and the type of thinking tendency of the subject is identified for each category of thinking tendency identified by the first section data; When the mind data includes the behavioral tendency data, the behavioral tendency data includes a plurality of second section data; each of the plurality of second section data includes a plurality of second segment data; Each of the plurality of second segment data includes an evaluation item and a score for identifying a behavioral tendency based on a psychological factor or a mental factor of the subject, 3. The information processing device according to claim 1, wherein the analysis unit ranks each of the second section data based on the scores contained in the plurality of second segment data, and identifies the type of behavioral tendency of the subject according to the ranking.

16. The mind data includes the thinking tendency data and the behavior tendency data, The mind-related data includes interview data; The information processing device according to claim 1 , wherein the interview data includes information regarding at least one of the subject's thinking tendency and behavior tendency obtained in an interview between the subject and an expert.

17. evaluating the subject's condition by analyzing the subject's bio-related data and mind-related data by a computer; and generating, by the computer, an action plan for solving the problem of the subject based on the evaluation result of the condition of the subject; the biological-related data includes biological data indicating biological information extracted from a biological sample of the subject; the mind-related data includes mind data; The mind data includes at least one of thought tendency data indicating a thought tendency based on the cognitive function of the subject, and behavior tendency data indicating a behavior tendency based on psychological or mental factors of the subject, the biological-related data includes self-assessment data based on input by the subject; The self-assessment data includes a plurality of assessment items and a plurality of scores for identifying a cause of a symptom appearing in a human from a biochemical perspective; the biological data includes a plurality of evaluation items and a plurality of scores; the plurality of evaluation items of the biological data include evaluation items with the same content as the evaluation items of the self-assessment data, An information processing method in which, in the step of evaluating the condition of the subject, the computer calculates a score for the evaluation item of the biological-related data based on the score for the evaluation item in the self-assessment data and the score for the evaluation item in the biological data that has the same content as the evaluation item in the self-assessment data.

18. On the computer, assessing a state of the subject by analyzing bio-related data and mind-related data of the subject; generating an action plan for solving the problem of the subject based on the evaluation result of the condition of the subject; the biological-related data includes biological data indicating biological information extracted from a biological sample of the subject; the mind-related data includes mind data; The mind data includes at least one of thought tendency data indicating a thought tendency based on the cognitive function of the subject, and behavior tendency data indicating a behavior tendency based on psychological or mental factors of the subject, the biological-related data includes self-assessment data based on input by the subject; The self-assessment data includes a plurality of assessment items and a plurality of scores for identifying a cause of a symptom appearing in a human from a biochemical perspective; the biological data includes a plurality of evaluation items and a plurality of scores; the plurality of evaluation items of the biological data include evaluation items with the same content as the evaluation items of the self-assessment data, In the step of evaluating the condition of the subject, the program causes the computer to calculate a score for the evaluation item of the biological-related data based on the score for the evaluation item in the self-assessment data and the score for the evaluation item in the biological data that has the same content as the evaluation item in the self-assessment data.

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