Health management processing system and health management method

Abstract

The present application provides a health management processing system and a health management method, which can ensure the safety of workers and reduce the answering load of the workers. A health management system for managing the health of workers, characterized by comprising: an inquiry production unit that produces an inquiry on the health condition of a worker on the basis of biological information obtained from the worker and a work schedule of the worker on the day; a health condition estimation unit that estimates the health condition of the worker on the basis of the biological information and the answer to the inquiry; and a processing unit that prompts a potential danger in work or a countermeasure corresponding to the potential danger on the basis of the estimated health condition of the worker and the work schedule.

Description

TECHNICAL FIELD

[0001] The present application relates to a health management system and a health management method for realizing health and safety of workers. BACKGROUND

[0002] Disasters in business are mostly caused by unsafe actions. As one of the main causes of such carelessness or unsafe actions, health conditions such as stress, lack of sleep, etc. can be cited. In order to safely perform business, it is important to appropriately manage the health conditions of workers.

[0003] In this regard, for example, a method of controlling the start of an industrial machine according to the health condition of a worker is disclosed in Patent Literature 1. Specifically, "an industrial machine start control system that controls the start of an industrial machine, characterized by comprising: a vital data measuring device that measures vital data of a worker; a health condition analysis device that acquires the vital data of the worker measured by the vital data measuring device, judges the health condition of the worker based on the acquired vital data; and a start control device that controls permission / dispermission of the start of the industrial machine based on the result of the judgment by the health condition analysis device."

[0004] PRIOR ART DOCUMENTS

[0005] PATENT LITERATURE

[0006] Patent Literature 1: Japanese Patent Application Publication No. 2019-102046 SUMMARY

[0007] PROBLEMS TO BE SOLVED BY THE INVENTION

[0008] According to Patent Literature 1, in order to manage the health of the worker, the vital data of the worker is monitored before and during work and reflected as start / non-start of the industrial machine.

[0009] However, in the management of the health and safety of the worker, there are also elements that do not appear in the vital data, etc., and it is necessary to accurately grasp the state of the worker within the possible range, which contributes to health management. Furthermore, it is desirable that this grasp does not burden the worker, and further that it can be applied in general work other than operating a work machine.

[0010] In this way, in the technology of the above-described Patent Literature 1, safety confirmation before work is considered, but safety confirmation that should be performed by the worker before starting a day's work is not considered, and it is necessary to ensure safety and reduce the burden of the worker's response before starting a day's work.

[0011] SOLUTION TO THE PROBLEM

[0012] According to the above, in the present application, there is provided "a health management system that manages the health of a worker, characterized by comprising: an interview creation unit that creates an interview on a day related to the physical condition of the worker based on biological information obtained from the worker and a work schedule for the day of the worker; a physical condition estimation unit that estimates the physical condition of the worker based on the biological information and the answer to the interview; and a processing unit that presents the potential of danger in work or a countermeasure corresponding to the potential of danger based on the estimated physical condition of the worker and the work schedule."

[0013] Further, the present application provides "a health management method that manages the health of a worker using a computer, characterized by creating an interview on a day related to the physical condition of the worker based on biological information obtained from the worker and a work schedule for the day of the worker, estimating the physical condition of the worker based on the biological information and the answer to the interview, and presenting the potential of danger in work or a countermeasure corresponding to the potential of danger based on the estimated physical condition of the worker and the work schedule."

[0014] Effects of Invention

[0015] According to the present application, it is possible to ensure the safety of the worker and reduce the answer load of the worker. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 is a diagram showing an example of the overall structure of a health management system according to Embodiment 1 of the present application.

[0017] Figure 2 is a diagram showing a flow when the worker uses the management system.

[0018] Figure 3 is a flowchart showing an example of the processing of the interview creation unit.

[0019] Figure 4 is a diagram showing an example of a list of questions in the interview.

[0020] Figure 5a is a diagram showing an example of a display input screen for business content input.

[0021] Figure 5b is a diagram showing an example of a display input screen for displaying the questions in the interview and inputting the answers.

[0022] Figure 6 is a flowchart showing an example of the processing of the physical condition estimation unit 5.

[0023] Figure 7is a flowchart showing an example of the process of the KP estimation section 6.

[0024] Figure 8 is a diagram showing an example of a screen structure for preventing a decrease in interest due to adaptation of the worker and for prompting serious response.

[0025] Figure 9 is a diagram showing an example of a display screen for a manager.

[0026] Figure 10 is a diagram showing an example of a display screen for a manager.

[0027] Figure 11 is a diagram showing a question list in which a weight of each category is set.

[0028] Figure 12 is a diagram showing a recording of a voice or a video on the portable information terminal 80.

[0029] In the diagram:

[0030] 1: measurement section; 2: input section; 10: information processing section; 3: output section; DB: storage section; 9: management device; 4: consultation preparation section; 5: physical condition estimation section; 6: KP (risk potentiality) estimation section; 7: KY (risk prediction) processing section. DETAILED DESCRIPTION

[0031] Hereinafter, an embodiment of the present application will be described with reference to the accompanying drawings.

[0032] Example 1

[0033] Figure 1 is a diagram showing an example of the overall structure of the health management system according to Example 1 of the present application. The health management system is composed of a measurement section 1 that measures biological data of a worker, an input section 2 that receives input from the worker, an information processing section 10 that processes information of the measurement or the input, an output section 3 that displays a processing result, a storage section DB that stores the processing result, and a management device 9 that a manager uses to perform a management business using the stored result.

[0034] The measurement section 1 is, for example, a device that measures biological data, such as a wearable device, and preferably can perform measurement including a heartbeat / cardiac monitor, a sphygmomanometer, a hygrometer, an accelerometer, a gyroscope, a camera (infrared), and the like (as long as it is a device that can measure and observe biological data, it can be any device). The measurement can be performed in each family before work, but it is preferable to be provided in a manner that the worker can also perform it before or during work at the work site.

[0035] The input section 2 can use a touch panel, a keyboard, a mouse, a microphone, a camera, and the like, and the output section 3 can use a display, a speaker, and the like. Further, the input section 2 and the output section 3 have a case for a manager and a case for each worker.

[0036] In the case for each worker, the input section 2 and the output section 3 can be configured using the input and output functions of a portable information terminal owned by the individual, for example. At this time, the output section 3 is used to prompt the contents of the questions of the interview made by the interview making section 4 described later, and to answer the answers to the questions from the input section 2, the judgment results. In addition, various information obtained as a result of the estimation of the physical condition is displayed on the output section 3. In the case for the manager, a part of the management device 9 is configured to appropriately use the input and output functions for the purpose of individual management of the workers and overall management.

[0037] The storage section DB can be a storage device on a network or the like in addition to an HDD, an SSD, and the like. In addition,

[0038] The information processing section 10 is executed on an information processing device such as a CPU, and can use a computing device on a network in addition to a device such as a PC, a smartphone, a tablet, and the like.

[0039] The information processing section 10 is configured by the interview making section 4, the physical condition estimation section 5, the KP (risk potentiality) estimation section 6, and the KY (risk prediction) processing section 7.

[0040] Figure 2 is a diagram showing a flow when the worker uses the management system. First, in a processing step S1

[0041] , the biological data of the worker on the day is measured by the measurement section 1. Next, in a processing step S20, the contents of the business on the day are input using the input section 2. Further, in a case where the contents of the business on the day are stored in a database or the like in advance, the data can be confirmed.

[0042]

[0043] In addition, although not illustrated in Figure 2 , based on these inputs, Figure 1 the interview making section 4 makes the contents of the questions of the interview, and prompts the worker via the output section 3, and the worker performs the work of answering the questions in a processing step S3.

[0044] 5 answers the interview made based on the measured biological data and the interview made based on the contents of the business

[0045] ​After that, in the processing step S4, if the physical condition is not abnormal, the danger potential in the business content of the day is selected from several candidates. Finally, in the processing step S5, the selected danger potential and the actual incident, countermeasures, and the like are confirmed, and the business is started.

[0046] Figure 3 is a flowchart showing an example of the processing of the interview making section. In the interview making section 4, the questions of the interview to be finally presented to the worker are made, but at this time, the question list QL of Figure 4 is referred to.

[0047] Figure 4 The question list QL of the interview exemplified is given a category D42, a confirmation period D43, a weight D44, and a response method D45, for example, for each question sentence D41. For example, the category of the question sentence inquiring about the physical condition is "all", the confirmation period D43 is "every day", the weight D44 is "Wl", and the response method D45 is "selection type", "VAS, NRS", "comparison (previous day)", and the like. In addition, the category of the question sentence inquiring about sleep is "sleep", the confirmation period D43 is "every day", the weight D44 is "W2", and the response method D45 is "selection type", "VAS, NRS", and the like.

[0048]

[0049]

[0050]

[0051] Here, this combination can more accurately grasp the health state of the worker by preparing more combinations within the possible range with respect to the state that can be assumed, but on the other hand, in order to efficiently grasp in a short time before the start of the work, the questions need to be optimized according to the state. Therefore, the interview making section 4 basically selects the questions in order from large to small of the weight W, and here, the weight W is set to a real number of 0 to 1, and is variable according to the state. Thus, a plurality of questions are selected from the question list shown in Figure 4

[0052] The question list QL of the above-described Figure 4 is referred to in the interview making section 4, and first, in the processing step S41, it is determined whether there is no abnormal value in the biological data measured by the measurement section 1. Alternatively, as the determination in this case, the heart rate interval (R-R Interval (RRI)) can be calculated from the measured biological data, for example, the heartbeat information, and frequency analysis is performed, whereby the autonomic nerve function, stress, and fatigue state are calculated.

[0053] ​​​​If the biological data and the calculated index are abnormal in the determination in the processing step S41, the weight W of the question related to the abnormal item is changed to be increased in the processing step S42, so that the related question is included in the interrogation. For example, if the heartbeat and the body temperature are abnormal, a question to urge reconfirmation is made, and the like. Further, in a case where it is determined that the normal recovery is made later, the weight is returned to the original value at an appropriate timing.

[0054] When the biological data and the calculated index are normal in the determination in the processing step S41, or after the processing in the processing step S42, the processing in the processing step S43 is moved to. In the processing in the processing step S43, the weight is updated for the related item in accordance with the input business information (the schedule of the day). For example, in a case where the driving of the car or the bicycle is made, the weight is increased for the item to confirm the implementation of the alcohol inspection, and the like.

[0055] In the list of the questions in the processing step S44, the weight is updated in accordance with the weight update method in the list of the questions in the processing step S43. For example, in a case where the weight is increased for the item to confirm the implementation of the alcohol inspection, the weight is increased for the item to confirm the implementation of the alcohol inspection, and the like. Figure 4

[0056] Thus, in the processing step S44, the questions for which the weight is reevaluated from the viewpoint of the biological data and the questions for which the weight is reevaluated from the viewpoint of the business information are selected in the order of the weight from high to low.

[0057] After the question is selected, in the processing step S45, it is determined whether the appropriate answer is made using the history of the past answer of the worker to the question. For example, it is determined using the answer error measured by the experiment assuming the general worker in advance (if the answer this time is within the error, it is normal), or the answer result until now is analyzed (for example, the variance is calculated, the number of the same answers is counted, and the like), the same degree or the same answer is detected to be repeated for a certain period (number of times), and the like.

[0058] In a case where the abnormality is detected in the determination in the processing step S45, the answer mode D45 of the question is changed in the processing step S46. As the answer mode D45, for example, there are yes / no, more / less, almost none / many, and the like based on a plurality of options, a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), and the like.

[0059] There are sometimes a selection type based on a plurality of options, a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), a method of answering using the position of the point on the line segment called Visual Analogue Scale (VAS; 5 visual analogue scale), and the like.

[0060] ​The method called Numerical Rating Scale (NRS) in which a numerical value is answered, and the like. The answering method so far has been yes / no, in which case, for example, it is changed to a selection type based on multiple options, or the like, in the case where a proper answer is not obtained.

[0061] In addition, a method in which an answer is obtained for comparison with the previous day or the last time, an article is input, or a numerical value 0 is input, and the like can also be considered. It can be basically arbitrary. In addition, sometimes a part of the question is revised in cooperation with the answering method.

[0062] the question.

[0063] In the processing step S47, the output section 3 displays the consultation contents made as described above, and the weight of the question finally adopted in the processing step S48 is updated and stored.

[0064] Figure 5a 、 Figure 5b is an example of a display input screen when the input section 2 and the output section 3 of the portable information terminal are used, Figure 1 indicates an example of a display input screen 80 for service content input, Figure 5a indicates an example of a display input screen 80 for service content input,

[0065] sub, Figure 5b indicates an example of a display input screen 80 for displaying a question of a consultation and inputting an answer. It is configured to display matters to be confirmed in sub-screens 81, 82, 83, 91, 92, 93, and to obtain service content input, an answer to the question of the consultation by selection of a button, numerical value input, degree input, and the like.

[0066] 0 Figure 6 is a processing flow of the physical condition estimation section 5. In the flow, in the display input screen 80, for example, a question of a consultation (confirmation of a physical condition, a sleep time, a feeling of fatigue and a feeling of dullness) of contents such as Figure 6 indicates an example of a display input screen 80 for service content input, Figure 5b In the case where all the answers to the question are obtained by button operation, or the like, the physical condition estimation processing of the processing step S51 is started.

[0067] In the processing step S52, it is first confirmed that the consultation answer is normal. In the case where it is normal, the physical condition estimation section 5 compares the biological data measured in the processing step S53 with the answer to the consultation,

[0068] In the processing step S54, the degree of deviation is calculated. As the degree of deviation, for example, there is a case where a strong fatigue is predicted from the measured data, and an answer is fatigueless (also including the opposite case), and the like.

[0069] In the case where the degree of divergence is equal to or less than the threshold in the determination in the processing step S54, since the measured biological data and the answer to the inquiry show the same tendency, it is determined in the processing step S58 that the physical condition of the worker is normal, and the processing is ended. In the case where the degree of divergence is more than the threshold in the determination in the processing step S54, since the measured biological data and the answer to the inquiry show different tendencies, it is determined in the processing step S59 that the physical condition of the worker is abnormal, and the processing is ended.

[0070] In the determination in the processing step S52, in the case where the inquiry answer is abnormal, it is determined in the processing step S55 whether there is an additional question, in the case where there is an additional question, the answer to the additional inquiry is obtained in the processing step S56, and it is determined in the processing step S57 that the answer to the additional question is not a problem. In the case where it is determined in the determination that there is no problem, it is determined in the processing step S58 that the physical condition of the worker is normal.

[0071] In the case where there is no additional question in the processing step S55, or in the case where it is determined in the processing step S57 that the answer is a problem, it is determined in the processing step S59 that the physical condition of the worker is abnormal.

[0072] Figure 7 is the processing flow of the KP estimation section 6. In the flow of Figure 7 In the flow of, the database held by the KP estimation section 6 is used. In the database, the input biological data, the business content, or other inputs are weighted and held in association with these inputs and the KP (danger potentiality). As the other inputs, in addition to the past history record, as an external factor, the air temperature or the like can be used.

[0073] One example of the record item of the database in which the input is weighted and held in association with the KP (danger potentiality) is as follows. First, in the case where the input is the air temperature, in the case where the air temperature is high, there is a possibility that heat stroke or the like occurs, and therefore, as the KP, a database in which the heat stroke is associated in advance, and the weight of the heat stroke is increased in the case where the air temperature is high is formed in advance. On the contrary, in the case where the air temperature is low, as the KP, the lumbar strain, the fall, the slip, or the like is associated in advance, and a database in which the weight of the lumbar strain, the fall, the slip, or the like is increased in the case where the air temperature is low is formed in advance.

[0074] In the case where mental fatigue is worried in accordance with the biological data, the weight of the KP caused by the carelessness is increased, in the case where physical fatigue (the case where the air temperature, the physical load of the work is high, or the like) is worried, it is preferable to increase the weight of the KP such as the lumbar strain, the sway, the dizziness, or the like, and the update corresponding to the input is performed.

[0075] In the case where the KP is not a problem in the determination in the processing step S56, the processing is ended. In the case where the KP is a problem in the determination in the processing step S56, the processing proceeds to the processing step S57. Figure 7In processing step S62 in the flow, the weight is updated according to the inputted biological data, business content, or other inputs. The update of the weight is a process of increasing the weight of the KP caused by carelessness, etc. in the case of worrying about the mental fatigue described above.

[0076] In processing step S63, an external factor is also considered as an input. The external factor at this time is, for example, the level of the air temperature described above, and in processing step S64, a change in the weight based on the external factor is performed.

[0077] By this update of the weight, in processing step S65, the KP inferred from today's medical interview result is extracted from the items of the KP in the database held by the KP inference section 6. In today's health state, the work state, only the most important KP item is taken out.

[0078] The extracted important KP item is prompted to the worker via the output section 3, but in this case, the following responses can be further performed. These responses are responses to the decrease in attention caused by the worker's adaptation. For example, in the scene of making a reply to the question from the display input screen 80, if the display input screen 80 is the same content for a long time, a situation where the same content is always selected occurs, and the state of the day is not correctly reflected. Figure 5b

[0079] Likewise, if the same content of the KP is always prompted in the same display form, regarding the tendency that the display result cannot be claimed, the following adjustment is also performed for the KP: for the worker who arbitrarily selects the same KP, in the case where it is judged from the past selection history record that the similar KP is always selected, they are excluded from the list, or displayed at the back of the display list, the beginning is set to the item of the low correlation degree described later, etc.

[0080] In addition, in the display change at this time, the display order is also important, and it can be displayed in the order of the inferred weight (importance order), or it can be displayed randomly. In addition, it is also possible to mix the item of the low weight (low correlation degree) at a certain ratio, to input the reason for the selection in the case where these items are selected, to issue an alarm to the manager, etc.

[0081] Thereby, in processing step S66, it is confirmed whether the past reply is normal, and in the case of abnormality (the same content, etc. is always the same), the display method is changed in processing step S67. The corrected KP list is finally generated.

[0082] Figure 7 The processing of the KP (danger potentiality) inference section 6 is shown, but this can also be set as the KY output by the KY (danger prediction) processing section 7.

[0083] ​As a screen structure example that prevents the decrease in interest due to the adaptation of the worker and urges serious response, three display screen structures are exemplified. Figure 8 In the screen 80 on the left side, the contents of KP, KY (fall, fall, heavy object, etc.) are displayed in a tiled form, and according to the health status today, the work content, matters that should be particularly paid attention to are prompted by other emphasis display, etc. In the screen 80 on the center, Figure 8 In the screen 80 on the center, the past cases of KP, KY that should be paid attention to today are prompted as explanatory text together with illustrations, photographs. In the screen 80 on the right side, Figure 8 In the screen 80 on the right side, KY, handling system, KY of equipment for the individual worker are prompted together with photographs, articles to arouse attention. Figure 8

[0084] Further, the above processing result can be prompted to the manager. In the example of the display screen 90 for the manager, as shown in Figure 9 , it is possible to display the name and the measured biological data, the evaluation result of the autonomic nerve, the interview answer, the KY information, etc. in a glance. Further, as shown in Figure 10 , it is also possible to display the determination result (score result) of the physical condition as an icon. As a classification method, for example, a method of color division (green ~ yellow ~ red), a method of illustrations based on expressions, a method based on symbols (O, Δ, X), and combinations thereof can be considered.

[0085] Embodiment 2

[0086] In Embodiment 2, in the estimation of the physical condition by the physical condition estimation section 5, instead of making a determination of normal or abnormal, a score for the physical condition is calculated, and the health status for the business is calculated by using the business information of the day.

[0087] As an effect in this case, it is possible to make a determination of the physical condition that is more in line with the business, and to make an optimization such as replacement with other workers in the case where the worker becomes unsuitable.

[0088] As an example of Embodiment 2, it is possible to adopt the score in the list form as in Figure 11 In the contents of the question list in Figure 2 , the weight of each category (weight 1 ~ weight n) is also set.

[0089] ​For example, consider assigning a contribution rate to each category of each task as described below, and scoring it as a product of the contribution rate and a weight calculated based on the worker's physical condition that day. These categories could be: physical fatigue (e.g., heavy labor, restrictive work); mental fatigue (e.g., meticulous work, dangerous work, handling unexpected situations like malfunctions); and time periods (e.g., mornings, late nights) with higher contribution rates (e.g., questions related to sleep); and proficiency (e.g., familiarity with the task, number of times the same task has been performed). Furthermore, weights (weight 1 to weight n) could be assigned to each category for each question. Additionally, a recommendation function could be included to facilitate task exchange with other workers if the worker's physical condition is abnormal (unsuitable). Regarding task allocation, consider displaying the results of optimization using dynamic programming or similar methods.

[0090] Example 3

[0091] In Embodiment 3, based on Embodiment 1 or 2, it is configured to have the function of stating the selected KP, countermeasures, and predetermined security declarations, and recording or recording them.

[0092] As an effect of Example 3, the ability to enhance safety awareness through vocalization, and the ability to determine health status through additional analysis of sound data, facial expressions, skin color, etc., thereby improving accuracy.

[0093] Figure 12 The system indicates the selected key point (KP), countermeasures, and planned security declaration, and records this information, either audio or video, to the portable information terminal 80. Figure 12 In the example on the left, repeat and store today's KY project; in the examples in the center and on the right, perform a safety blessing. At this point, as... Figure 12 As shown, the selected KP (KY) and the record or video recording button can be displayed to record sound or moving images.

[0094] The analysis of the aforementioned data can utilize factors such as sound volume, clarity, facial expressions, and complexion, as well as machine learning-based inference methods. Furthermore, it allows managers to easily verify this data through management interfaces.

Claims

1. A health management system for managing the health of workers, characterized in that, have: The consultation production department updates the weights assigned to questions related to the biological information obtained from the workers and the workers' daily work schedule in a question list that assigns categories, confirmation cycles, weights, and answer methods to each question. It selects a predetermined number of questions from the question list in descending order of weight, determines whether the workers have given appropriate answers in the history of answers to the selected questions, and corrects the selected questions if no appropriate answers are received, in order to produce a consultation for the day related to the workers' physical condition. The physical condition estimation department estimates the physical condition of the workers based on the biological information and the results of the consultation. as well as The processing department alerts workers to potential hazards or corresponding countermeasures based on their estimated physical condition and work schedule.

2. The health management system according to claim 1, characterized in that, The portable information terminal held by the operator will display a warning of potential dangers or corresponding countermeasures.

3. The health management system according to claim 1, characterized in that, The portable information terminal held by the operator will display the consultation schedule for the day.

4. The health management system according to claim 1, characterized in that, The physical condition estimation unit estimates the worker's physical condition based on the degree of discrepancy between the biological information and the answers to the medical consultation.

5. The health management system according to claim 1, characterized in that, The processing unit has a database that weights and maintains the correlation between inputs and potential hazards, the inputs being biological information, business content determined by the operator's daily work schedule, past historical records, or external factors.

6. The health management system according to claim 5, characterized in that, The processing unit selects and prompts items that are weighted according to the input and the correlation between the input and the potential for danger, and appropriately changes the display method of the prompted items.

7. The health management system according to claim 4, characterized in that, The physical condition estimation unit calculates a physical condition score in the estimation of physical condition, and calculates the health status of the business based on the business content of the day.

8. The health management system according to claim 1, characterized in that, The operator uses a portable information terminal to state the selected potential hazard, countermeasures, and planned safety declaration, and records the information on audio or video.

9. A health management method, which uses a computer to manage the health of workers, characterized in that, The computer's diagnostic processing unit updates the weights assigned to questions related to the biological information obtained from the workers and the workers' daily work schedules in a question list that assigns categories, confirmation cycles, weights, and answer methods to each question. A predetermined number of questions are selected from the question list in descending order of their weights. The system determines whether the worker provided an appropriate response by examining the historical records of answers to the selected questions. If no appropriate response was received, the selected questions are revised to create a daily medical history related to the worker's physical condition. The worker's physical condition is inferred based on the biological information and the results of the medical consultation. Based on the estimated physical condition of the workers and the work schedule, potential hazards in the work or corresponding countermeasures are indicated.

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