JP2016151979A - Mental health care support system, device, method, and program - Google Patents

Abstract

To provide a mental health care support system, apparatus, method and program for efficiently connecting employees having a possibility of mental health problems to an interview. Work conditions information storage means for storing work condition information of employees, etc., and conditions for selecting interview candidates defined using information items of work condition information, which satisfy a predetermined condition A specific condition storage means 12 for storing a specific condition, which is a condition defined based on human subjectivity, attendance information of a leave employee, and a sign of leave based on attendance information of an employee or the like to be managed First extracting means 13 for extracting the employees to be shown, second extracting means 14 for extracting employees etc. that match the specific conditions from the employees to be managed, etc., and first extracting means And a primary candidate list generation unit 15 that generates and outputs a primary candidate list of interviews by collecting the employees extracted by 13 and the employees extracted by the second extraction unit 14. . [Selection] Figure 1

Description

  The present invention relates to a mental health care support system, a line care support device, a mental health care support method, and a mental health care support program, and in particular, a mental health care support system and line for supporting the implementation of interviews conducted as part of mental health care. The present invention relates to a care support device, a mental health care support method, and a mental health care support program.

  In companies and various organizations (hereinafter referred to as “enterprises, etc.”), countermeasures for employees who take leave due to mental health problems and members of various organizations (hereinafter referred to as “employees”) have become an issue. If a company, etc., can take early measures against employees who are suspected of malfunctioning mental health care, it will occur to the company, employees, etc. due to the employee's leave of absence, etc. Various economic and social losses can be reduced.

  According to the Ministry of Health, Labor and Welfare's “Guidelines for Maintaining and Promoting the Mental Health of Workers (2006)”, mental health care includes “self-care”, “care by line (line care)”, “industrial health staff in the workplace” It is important that the four types of care, such as “care by etc.” and “care by resources outside the workplace”, be continuously and systematically performed. The guidelines also include the role of managers and supervisors in line care, such as “early detection and response to mental health problems,” “improvement of the workplace environment,” and “individual consultation.” In this way, the role of the supervisor who is familiar to employees and the like plays a large role.

  However, there is a limit to the ability of a supervisor who is not a mental health care professional to detect mental health problems such as employees who are managed alone. In addition, employees who are suspected of having mental health problems are rarely aware of this, and even if they are aware of this, the individual himself / herself will provide individual consultation (hereinafter simply referred to as an interview). Is unlikely to apply.

  Therefore, it is possible to detect employees who have the potential to malfunction mental health within a realistic period in the future in some way, and to efficiently detect managers, supervisors close to them, occupational health staff, etc. A mechanism that can be linked to interviews with other organizations is desired.

  For example, Patent Documents 1 to 3 are technical documents related to a detection technique for employees who may be out of order. Patent Document 1 describes a mental health management device that detects employees who may be out of order based on determination rule data that defines work patterns unique to employees who have a mental illness. ing. The mental health management device described in Patent Document 1 determines whether or not an employee's work history conforms to one or more determination rules indicated by the determination rule data, and corresponds to the work history determined to be compatible Notify supervisors about information about employees.

  Patent Document 2 discloses a management system that transmits an alert when an employee takes an action outside the range of the behavior characteristics by analyzing and storing the behavior characteristics unique to the employee for each employee. Have been described. The management system described in Patent Literature 2 first extracts employee-specific behavior characteristics from an employee behavior history database that stores the behavior history for each employee and stores it in the employee behavior characteristics database. When the management system determines that the employee behavior history is outside the range of the employee behavior characteristics corresponding to the employee behavior characteristic database, the management system transmits an alert message to the employee.

  Patent Document 3 describes an organizational behavior analysis device that generates an analysis model composed of behavior factors necessary for solving organizational problems from behavior data and communication data within the organization. The organizational behavior analysis device described in Patent Document 3 uses an index obtained from sensor data as an explanatory variable, objective data such as productivity, accidents and defects of the organization, and employee's reward / improvement index and stress / Using subjective data such as mental indices as objective functions, useful factors of objective variables are selected from the explanatory functions to create a model. According to Patent Document 3, by creating such a model, it is possible to clarify the behavior that affects the problem that the organization raised as the objective variable, so that it is possible to come up with measures appropriate for the organization. Has been.

JP 2008-242702 A JP 2011-123579 A WO 2011/055628 pamphlet

  By the way, specific veteran employees who are skilled in organizational management and have a strong desire from employees in the workplace may notice signs of mental health problems with other employees based on their own experience and intuition. By using such tacit knowledge of a human who satisfies a predetermined condition, it is considered that employees who have a possibility of malfunction can be effectively connected to an interview.

  However, Patent Document 1 and Patent Document 2 do not consider using such subjective data of specific employees. In other words, the methods described in Patent Document 1 and Patent Document 2 can be used to detect employees who may be out of order by using only attendance data such as employees who have taken leave in the past and objective data such as the person's behavior data. It detects and does not use any subjective data.

  For example, the method described in Patent Document 1 uses only the data of employees who actually developed a mental illness, and does not use data such as when interviews are performed at the predictive stage to prevent malfunctions. There is a problem. In addition, for example, the method described in Patent Document 2 is considered to have a variety of behavior characteristic ranges for each employee due to differences in personality and occupation, so that it is difficult to extract employee-specific behavior characteristics. In addition, there is a problem that it is difficult to set a criterion for determining whether or not the behavior data is within the range of the extracted behavior characteristics.

  In Patent Document 3, there is a description that an experienced manager has solved with experience and intuition. However, the method described in Patent Document 3 does not attempt to make such manager's experience available to the system. That is, the organizational behavior analysis apparatus described in Patent Document 3 analyzes sensor data acquired from each of a plurality of persons and data indicating subjective evaluation acquired from each of a plurality of persons, and for each of the plurality of persons, Factors are specified by calculating an index indicating the relationship between human views within the organization and behavior within the organization from sensor data and correlating with subjective evaluation. As described above, the organizational behavior analysis apparatus described in Patent Document 3 uses the behavior data of each person and the subjective data of each person to find a useful factor causing the problem. It is not intended to use subjective data other than the person who took action data.

  In order to prevent mental health problems of employees, etc., it is important to conduct interviews effectively. However, the techniques described in Patent Documents 1 to 3 are sufficient to extract employees who may be malfunctioning. In addition, no consideration is given to how efficiently employees who may be out of order can be connected to interviews while the manager is busy. For example, when considering an interface that is easy for management supervisors to connect to interviews, it is not sufficient to have high accuracy in extracting interview candidates by computer, and there are few leaks, selection and processing of information to be presented, processing, and data registration. Ease is also important.

  Accordingly, the present invention provides a mental health care support system, a line care support device, a mental health care support method, and a mental health care support program capable of efficiently connecting employees who may be out of order to an interview. With the goal.

  The mental health care support system according to the present invention uses work status information storage means for storing work status information which is information related to the work status of employees and the like and includes at least time information, and information items of the work status information Specific condition storage means for storing specific conditions, which are conditions related to interview candidate selection that are specified based on the human subjectivity that satisfies the predetermined conditions, and leave that has been suspended due to mental health problems First extracting means for extracting, from among employees to be managed, employees showing a sign of leave based on the employee's attendance information and the attendance information of employees to be managed, etc. The second extraction means for extracting employees that match the specific conditions stored in the specific condition storage means from the employees to be managed, and the first extraction means. Primary candidate list generation means for generating and outputting a primary candidate list, which is a list of primary candidates for the interview, by combining the employees and the like extracted by the second extraction means It is characterized by providing.

  The line care support device according to the present invention takes leave from among employees to be managed based on attendance information of employees who have taken leave due to mental health problems and attendance information of employees to be managed. Interview candidates defined using first extraction means for extracting employees, etc., who have a sign of a problem, and information on work status information, which is information related to the work status of employees, etc. and includes at least attendance information To extract employees that meet specific conditions, which are conditions related to the selection of employees and that are defined based on the subjectivity of human beings that meet a predetermined condition, from among employees who are subject to management Primary candidates that generate and output a primary candidate list that is a list of primary candidates for the interview based on the extraction means of 2, the extraction results of the first extraction means, and the extraction results of the second extraction means Squirrel Characterized in that it comprises a generation unit.

  In addition, the mental health care support method according to the present invention is a method in which a computer is an employee to be managed on the basis of the attendance information of a worker who has taken leave due to mental health malfunction and the attendance information of an employee to be managed. Employees, etc. showing signs of leave are extracted from employees, etc., and the computer is defined using information items for work status information, which is information related to the work status of employees, etc., including at least time information. Employees that meet specific conditions, which are conditions related to selection of interview candidates and that are defined based on the human subjectivity that satisfies the specified conditions, among the employees that are subject to management Primary candidates that are extracted and the list of primary candidates for interviews that summarizes the employees etc. that show the extracted signs of leave and employees that meet the extracted specific conditions And outputs to generate a list.

  In addition, the mental health care support program according to the present invention provides a computer with an employee to be managed based on the attendance information of a worker who has taken a leave of absence due to mental health problems and the attendance information of an employee to be managed. 1st process to extract employees showing signs of leave from employees, etc. Specified by using information items of work status information, which is information related to work status of employees, etc., including at least attendance information Employees that meet specific conditions, which are conditions related to the selection of interviewed candidates and that are defined based on the human subjectivity that satisfies the predetermined conditions, among the employees that are subject to management A primary candidate list that is a list of primary candidates for the interview is generated based on the second process extracted from the list, the extraction result by the first process, and the extraction result by the second process. Characterized in that to execute a process of force.

  ADVANTAGE OF THE INVENTION According to this invention, the employee etc. who may be out of order can be efficiently connected to an interview.

It is a block diagram showing an example of composition of line care support device 10 of a 1st embodiment. 4 is a flowchart showing an example of the operation of the line care support apparatus 10. It is a block diagram which shows the structural example of the line care assistance apparatus 20 of 2nd Embodiment. It is a block diagram which shows the structural example of the line care assistance apparatus 30 of 3rd Embodiment. It is a block diagram which shows the structural example of the line care assistance apparatus 40 of 4th Embodiment. 5 is a flowchart showing an example of the operation of the line care support apparatus 40. 12 is a flowchart showing an example of a processing flow of a list display process of registered candidates by an interview information presentation unit 43. It is a flowchart which shows the example of the processing flow of the list display process of the registration candidate and interview performance person by the interview information presentation means 43. 10 is a flowchart illustrating an example of a processing flow of a list display process of a monitoring target person by an interview information presentation unit 43; It is a flowchart which shows the example of the processing flow of the display process of the transition graph of the number of primary candidates by the interview information presentation means 43. FIG. It is explanatory drawing which shows the example of a status confirmation screen. It is explanatory drawing which shows the example of a primary candidate list display screen. It is explanatory drawing which shows the example of a primary candidate details display screen. It is explanatory drawing which shows the example of an interview candidate list display screen. It is explanatory drawing which shows the example of an attendance information confirmation screen. It is explanatory drawing which shows the example of the screen for displaying / inputting individual interview information, such as a designated employee. It is explanatory drawing which shows the example of the screen for inputting individual interview information, such as a designated employee. It is explanatory drawing which shows the example of the screen for referring individual interview information, such as a designated employee. It is a block diagram which shows the structural example of the line care assistance apparatus 50 of 5th Embodiment. It is explanatory drawing which shows the example of a user registration screen. It is a block diagram which shows the minimum structural example of the line care assistance apparatus by this invention. It is a block diagram which shows the minimum structural example of the mental health care support system by this invention.

Embodiment 1. FIG.
Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following embodiments, an example is shown in which the mental health care support system includes a line care device that supports the implementation of an interview in line care. However, the line care device supports the implementation of an interview in line care. It is not limited to the application. For example, mental health use such as early detection of employees who may be malfunctioning in companies, etc., and bridging interviews between employees who may be malfunctioning, management supervisors, supervisors close to them, occupational health staff, etc. The present invention can also be suitably applied to applications that indirectly support the implementation of interviews for care.

  FIG. 1 is a block diagram illustrating a configuration example of a mental health care support system according to the present embodiment. As shown in FIG. 1, the mental health support system of this embodiment includes a line care support device 10. The line care support apparatus 10 also includes work status information storage means 11, specific condition storage means 12, first extraction means 13, second extraction means 14, and primary candidate list generation means 15. .

  The work status information storage unit 11 stores work status information, which is information related to the work status, for each of employees who can be interviewed. For example, the work status information storage unit 11 may store work status information of an employee or the like in association with information identifying the employee or the like. The work status information may include work environment information that is information about the work environment in addition to the work time information that is information about the work time.

  Examples of attendance information include working hours, difference between leaving time and working hours, overtime hours, acquisition status of morning and afternoon vacations, day of the week on which vacation was acquired, whether or not there is a holiday attendance (leave). Examples of work environment information include job title, information related to movement (whether or not moved, time of movement, etc.), information related to supervisors and subordinates, information related to affiliated projects (scale, assigned field, milestone, etc.). Note that the work status information is not limited to the above example, and can include any type of information that can affect work attendance.

  Further, the work status information may include a time series element. In other words, the work status information storage unit 11 may store time information and work environment information on a plurality of days, an arbitrary period, before and after the movement, etc. as the work status information. In addition, when the work status information includes time series elements, the work status information may include statistics calculated for the attendance information and the work status information in an arbitrary period. The statistic may be an average or a variance. Note that the statistic is not limited to the above example, and other values related to the statistic are used as necessary. As an example, the work status information may include a feature vector in which a plurality of feature amounts of individual elements obtained from attendance information for a certain period are connected for each period as a statistical amount of attendance information. Each feature amount may be a value in a predetermined range, for example, or may be a value such as a binary or ternary value.

  The specific condition storage means 12 is a condition regarding selection of interview candidates specified using information items (attributes, etc.) of work status information, and in particular, a person who satisfies a predetermined condition (for example, the number of years of service in the workplace is A specific condition that is a condition defined based on the subjectivity of a predetermined or more experienced employee or an employee who has experience in organizational management in the past is stored. There may be a plurality of specific conditions. The specific condition may be defined using a combination of a plurality of information items included in the work status information. Further, the specific condition may include a condition for the contents of the information item, a work condition information as a whole, or a time condition for each information item. Such a specific condition can be acquired, for example, by reading a description (registered) in a predetermined format that can be read by a program such as SQL directly by a person who satisfies the predetermined condition. Further, for example, the acquisition may be performed using a dedicated tool that takes in a selection method for employees who may be out of order (hereinafter referred to as a subjective selection method) by a person who satisfies a predetermined condition.

  The first extraction means 13 is based on attendance information on employees to be managed, and attendance information on employees who have taken leave in the past due to mental health problems (hereinafter referred to as leave employees). Employees who are the primary candidates for interviews are extracted. Here, the primary candidates represent interview candidates extracted by the computer. For example, the first extraction means 13 compares the attendance information before the leave of the employee who took a leave with the present attendance information of the employee or the like to be managed, and the present attendance information of the employee or the like is If a feature similar to the feature in the attendance information before the employee's leave is shown, the employee or the like may be extracted as a primary candidate because he / she shows a sign of mental health failure.

  In addition, the first extraction unit 13 uses a prediction rule that is a rule related to the prediction of the possibility of leave, which is the possibility that the employee etc. will take a leave within a predetermined period, which is derived from the attendance information of the leave employee, for example. May be. For example, the first extraction unit 13 may obtain the possibility of leave within a predetermined period for each of the employees to be managed based on the above-described prediction rule generated by machine learning or the like in advance. . And the 1st extraction means 13 may extract the person whose possibility of a leave of absence calculated | required the predetermined level or more as an employee etc. which shows the sign of a leave of absence. The first extraction means 13 is used to identify employees who have a sign of absence due to mental health problems based on the actual attendance information of employees, etc., and objective data such as whether or not leave is associated with the attendance information. The extraction method is not particularly limited as long as it can be extracted. Hereinafter, the employee or the like extracted by the first extraction unit 13 may be referred to as a primary candidate by sign detection.

  The second extraction unit 14 extracts employees and the like as interview candidates based on the specific conditions stored in the specific condition storage unit 12 from the employees and the like to be managed. The second extraction unit 14 searches for work status information that matches any of the specific conditions stored in the specific condition storage unit 12, for example, for the work status information of employees or the like to be managed. Thus, employees or the like associated with the searched work status information may be extracted. Hereinafter, the employee or the like extracted by the second extraction means 14 may be referred to as a primary candidate according to work status.

  The primary candidate list generation unit 15 generates a primary candidate list that is a list of primary candidates based on the extraction result by the first extraction unit 13 and the extraction result by the second extraction unit 14. For example, the primary candidate list generation means 15 takes the logical sum of the set of employees etc. extracted by the first extraction means 13 and the set of employees etc. extracted by the second extraction means 14. A primary candidate list may be generated. Further, the primary candidate list generation unit 15 may have a function of presenting the generated primary candidate list to a user (for example, a management supervisor).

  In the present embodiment, the line care support apparatus 10 may be a computer that includes, for example, a CPU and a storage medium storing a program, and operates under the control of the CPU based on the program. In such a case, the work status information storage unit 11 and the specific condition storage unit 12 are realized by a storage medium provided in the computer, for example. Moreover, the 1st extraction means 13, the 2nd extraction means 14, and the primary candidate list production | generation means 15 are implement | achieved by CPU which operate | moves according to a program, for example. The computer may further have various information input means and various information output means, or may be connected to other computers having various information input means and various information output means. . In FIG. 1, the work status information storage unit 11, the specific condition storage unit 12, the first extraction unit 13, the second extraction unit 14, and the primary candidate list generation unit 15 are implemented in one apparatus. Although an example is shown, these may be separately mounted on separate devices (for example, two or more servers, database systems, etc.). In that case, each device may be connected via any wired or wireless communication network.

  Next, the operation of this embodiment will be described. FIG. 2 is a flowchart illustrating an example of the operation of the line care support apparatus 10 in the mental health care support system of the first embodiment. In the example shown in FIG. 2, first, the first extraction unit 13 determines whether the employee to be managed is based on the attendance information of the employee who is absent and the attendance information of the employee to be managed. From this, the employee etc. which show the sign of a leave of absence by mental health malfunction are extracted (step S101). Next, the second extraction means 14 extracts employees etc. that match the specific conditions stored in the specific condition storage means 12 from among the employees to be managed (step S102). Note that step S101 and step S102 may be switched in order or may be processed in parallel.

  Next, the primary candidate list generation means 15 generates the primary candidate list by combining the employees extracted in step S101 and the employees extracted in step S102 (step S103). Then, the primary candidate list generation unit 15 presents the generated primary candidate list to the user (for example, a management supervisor) (step S104).

  In addition, the line care support apparatus 10 may perform the process from step S101 to step S104 every predetermined period. That is, the line care support apparatus 10 may cause the first extraction unit 13 and the second extraction unit 14 to extract primary candidates at a plurality of arbitrary time points such as daily or monthly. In that case, the primary candidate list generation means 15 can generate not only the primary candidate list at each time point but also the time series data indicating the statistics and the temporal change thereof.

  As described above, according to the present embodiment, not only the employees showing the sign of leave based on objective data such as attendance information on leave, but also a wide range of information such as work status in general. Since employees who are likely to be out of order are extracted based on the subjective conditions, it is possible to efficiently extract employees who are likely to be out of order. For example, according to the present embodiment, signs that cannot be predicted by work information alone, such as signs indicated by complicated combinations of work situations, can be detected using tacit knowledge of experienced employees. Therefore, employees who may be out of order can be efficiently connected to the interview.

  Moreover, in the said embodiment, when the 1st extraction means 13 extracts the employee etc. which show the sign of a leave of absence, with respect to each of the extracted employee etc. (primary candidate by sign detection), for example, attendance time It may have a function of identifying, as an extraction factor, an information item that can be a cause that is determined to be a sign of absence from work. Similarly, when the second extraction unit 14 extracts employees that match the specific condition, for example, the second extraction unit 14 satisfies, for example, the specified specific condition for each of the extracted employees (primary candidates based on work status). You may have the function to specify the information item used and its combination as an extraction factor.

Embodiment 2. FIG.
Next, a second embodiment of the present invention will be described. FIG. 3 is a block diagram illustrating a configuration example of the line care support apparatus 20 according to the second embodiment. The line care support device 20 shown in FIG. 3 is different from the configuration of the line care support device 10 of the first embodiment shown in FIG. 1 in that it further includes a specific condition generation unit 21.

  The specific condition generation unit 21 takes in information indicating a selection method (subjective selection method) of employees or the like that may be malfunctioning by a human who satisfies a predetermined condition, and generates a specific condition. In addition, the specific condition generation unit 21 stores the generated specific condition in the specific condition storage unit 12. For example, the specific condition generation means 21 prepares a screen for capturing a subjective selection method, and an employee who wants to interview a person who satisfies a predetermined condition via the screen or a supervisor who manages himself / herself If the person is an employee, information indicating an employee who is a candidate for the interview may be input, and reason information indicating the reason for selecting the employee may be input. In addition, the specific condition generation unit 21 prepares a screen for inputting reason information indicating a prediction reason, for example, for an employee who has been able to predict a leave of absence from a past employee in advance. You may use the reason information. The reason information may be, for example, a set of identifiers for information items of work status information and conditions for the contents of the information items, or identifiers of information items of work status information, temporal conditions for the information items, and the information It may be a set of conditions for the contents of the item, or may be information indicating such a combination condition. Further, the reason information may include a weight for each group or a combination condition of an arbitrary group, a determination condition using the weight, and the like. The reason information may not include the time condition for the information item and the condition for the content of the information item. That is, the reason information may be information including one or more identifiers of information items of work status information.

  The specific condition generation unit 21 may generate the specific condition based on the reason information obtained in this way. The specific condition generation unit 21 may generate the specific condition by converting the obtained reason information into a predetermined format that can be used by the second extraction unit 14. In addition, the specific condition generation unit 21 determines the past status of absence from work for an item indicated by the item identifier (hereinafter referred to as a specified item) when the obtained reason information does not include a condition for the content of the item identifier. The contents of the information may be analyzed to derive a condition for the contents of the designated item (a condition for a combination of the contents of each designated item if there are a plurality), a weight thereof, a determination condition for the weight, and the like.

  In this way, what kind of information (items) should be focused on to select candidates for those who meet the specified conditions, such as experienced veteran employees, or whether there is a possibility of malfunctioning employees etc. By inputting at least, an effective specific condition can be easily generated.

  Further, the specific condition generation means 21 may have a function of determining the validity of the specific condition generated as described above or giving a validity level. For example, the specific condition generation unit 21 can determine the validity of the specific condition by determining whether or not the work status information of past leave employees matches the generated specific condition. Further, the specific condition generating means 21 generates a plurality of specific conditions based on the reason information input from each of a plurality of persons, and based on the overlapping state of the distribution of work situation information that matches the specific conditions. The validity may be determined and the degree of validity may be given. Note that the specific condition generation unit 21 may be more effective for specific conditions that have more overlapping distributions than other specific conditions.

  The specific condition generation unit 21 can perform the above-described capturing process at an arbitrary timing such as in response to a user operation. However, before the extraction process by the second extraction unit 14 is started, a plurality of humans can perform the capturing process. It is preferable to capture information indicating a subjective selection method.

  In the present embodiment, the specific condition generating unit 21 is realized by a CPU that operates according to a program included in a computer that implements the line care support apparatus 20, for example. Also in this example, each processing means and storage means included in the line care support device 20 may be physically separated and mounted in separate devices. In that case, each device may be connected via any wired or wireless communication network.

  As described above, according to the present embodiment, effective specific conditions can be easily generated, so it is possible to more efficiently interview employees who have a possibility of malfunction or employees who should be interviewed. Can be connected.

  In addition, in FIG. 3, although the example provided with the specific condition production | generation means 21 was shown in addition to the structure of 1st Embodiment shown in FIG. 1, a mental health care support system is specific to the structure of other embodiment. The structure which added the condition production | generation means 21 may be sufficient.

Embodiment 3. FIG.
Next, a third embodiment of the present invention will be described. FIG. 4 is a block diagram illustrating a configuration example of the line care support device 30 according to the third embodiment. Compared with the configuration of the line care support apparatus 20 of the second embodiment shown in FIG. 3, the line care support apparatus 30 shown in FIG. 4 further includes a prediction rule storage unit 31 and a prediction rule learning unit 32. Different.

  The prediction rule storage unit 31 stores the prediction rule used by the first extraction unit 13.

  The prediction rule learning means 32 uses past time information of employees, etc., to which information indicating whether or not leave has been assigned, as learning data, and allows attendance information and the possibility of leave in an arbitrary period before a predetermined reference date. To learn the relationship between and generate prediction rules. The prediction rule learning means 32 can use, for example, heterogeneous mixed learning including FAB inference (Factorized Asymmetric Bayesian Inference) and the like, and other known opportunity learning techniques. Although not shown, the line care support apparatus of the present embodiment may further include learning data storage means for storing learning data.

  Here, the predetermined reference date is the same as the determination period, which is a predetermined period of the attendance information used by the first extraction means 13 to obtain the possibility of taking a leave from the day of the leave when the attendance information to be studied has a leave. Or it is good also as the previous day by a less predetermined number of days. In that case, the prediction rule learning means 32 uses the attendance information up to the predetermined reference date set before the date of leave as learning data indicating a sign of leave during the subsequent determination period. Can do. On the other hand, when the attendance information to be learned is “no leave”, the predetermined reference date may be an arbitrary date at least more than the above-described determination period from the day when it is clear that the employee has worked normally. By doing so, the prediction rule learning means 32 can use the attendance information up to the predetermined reference date as learning data for a case in which the employee does not take a leave within a subsequent determination period.

  Further, the above “day off” is not limited to the day when the employee takes a leave of absence in accordance with the employment rules of the company or the like, and may be the day when the employee who does not take a leave of absence from the company or the like. In other words, the day on which the employee who has lost his / her leave substantially does not enter the office is appropriately selected as the day on which his / her leave.

  The prediction rule learning means 32 learns, for example, the difference in attendance patterns between a leave employee and a regular worker by using such attendance information of the leave employee and the regular worker, for example. May be generated. The prediction rule is generated in a format corresponding to the method used by the first extraction unit 13. For example, the prediction rule learning unit 32 may generate a prediction rule using a method described in the specification of Japanese Patent Application No. 2014-179457. As an example, when the first extraction unit 13 uses a linear discrimination method, a prediction rule expressed in the form of a discriminant that distinguishes the feature vector space related to attendance information according to the presence or absence of the possibility of absence during a predetermined period is generated. be able to.

  Further, the prediction rule learning unit 32 can generate a plurality of prediction rules having different internal parameters. In this case, the prediction rule learning means 32 indicates which of the plurality of prediction rules is suitable for prediction by the degree of coincidence between the predicted result of the absence of absence for the attendance information used for learning and the actual absence / absence of leave. Can do.

  The prediction rule learning unit 32 may generate a prediction rule for each employee having a common property. In that case, the 1st extraction means 13 uses the prediction rule according to each property of the employee etc. used as management object among the prediction rules generated for every employee etc. which have a common property, The possibility of leave of absence within a predetermined period (determination period) in the future for the employee or the like may be obtained.

  For example, the first extraction unit 13 applies the latest attendance information on the employee or the like to be managed to the prediction rule learned by the prediction rule learning unit 32, so that the employee within the future determination period It is possible to predict the possibility of taking leave. As an example, when the prediction rule is expressed as a discriminant, the first extraction unit 13 is characterized in that the feature vector indicated by the latest attendance information such as employees to be managed is discriminated by the discriminant. By determining whether it belongs to any one of the vector spaces, the possibility of leave of absence in the future determination period of the employee or the like may be predicted.

  The prediction result is not limited to the presence or absence of the possibility of leave, for example. In other words, the prediction result may be obtained by digitizing the degree of predictability based on an arbitrary criterion. For example, when the prediction rule is represented by a discriminant, the first extraction unit 13 can also determine whether there is a possibility of leave based on whether or not the discriminant matches the discriminant. It is also possible to calculate the likelihood of leave based on the relationship with the formula (for example, the degree of matching indicated by the distance between the time information and the discriminant in the feature vector space).

  The prediction rule learning unit 32 can perform the learning process at an arbitrary timing such as every predetermined period, every time a new employee takes a leave, or according to a user operation. It is preferable to carry out at least once before the extraction process according to is started, and it is more preferred to carry out several times at intervals.

  In the present embodiment, the prediction rule storage unit 31 is realized by, for example, a storage medium included in a computer that implements the line care support device 30. Moreover, the prediction rule learning means 32 is implement | achieved by CPU which operate | moves according to the program with which this computer is provided, for example. Also in this example, each processing means and storage means included in the line care support device 30 may be separately mounted on separate devices. In that case, each device may be connected via any wired or wireless communication network.

  As described above, according to the present embodiment, it is possible to predict the possibility of absence from work within a predetermined period of an employee or the like to be managed, so that it is possible to more efficiently lead to an interview. For example, according to the present embodiment, it is possible to know the urgency that requires an interview. In addition, for example, if a plurality of periods are set to predict the possibility of leave, it is possible to give priority to interview candidates.

  In addition, although the example provided with the prediction rule memory | storage means 31 and the prediction rule learning means 32 was shown in FIG. 4 in addition to the structure of 2nd Embodiment, a mental healthcare support system is the structure of other embodiment. Furthermore, the structure which added the prediction rule memory | storage means 31 and the prediction rule learning means 32 may be sufficient.

Embodiment 4 FIG.
Next, a fourth embodiment of the present invention will be described. FIG. 5 is a block diagram illustrating a configuration example of the line care support device 40 according to the fourth embodiment. Compared with the configuration of the line care support apparatus 30 of the third embodiment shown in FIG. 4, the line care support apparatus 40 shown in FIG. 5 has an interview information storage means 41, an interview information registration means 42, and an interview information presentation. The point which is further provided with the means 43 differs.

  The interview information storage means 41 stores interview information, which is information related to an interview performed as part of mental health care. The interview information storage unit 41, for example, as interview information, primary candidate information that is information indicating a primary candidate, registration candidate information that is information indicating a registration candidate that is an interview candidate designated by the user, , Registration record information, which is information indicating employees who interviewed (hereinafter referred to as interview results), and each of the registered candidates and interviewed employees, etc. Individual interview information that is information related to the interview, such as the presence / absence of the record, the contents of the interview, and the past interview history, is stored. Note that the above information may not be independent of each other, for example, when the individual interview information of the registered candidate includes the presence or absence of an interview. The above example is an example in which a part of the individual interview information is registered record person information.

  The interview information registration unit 42 registers (records) primary candidate information in the interview information storage unit 41 based on the primary candidate list generated by the primary candidate list generation unit 15. The interview information registration unit 42 registers interview candidates in accordance with user operations. More specifically, the interview information registration unit 42 registers interview candidate information in the interview information storage unit 41 in response to a user operation. In addition, the interview information registration unit 42 stores the individual interview information of the designated employee or the like in the interview information storage unit 41 in response to a user operation. Hereinafter, individual interview information of each employee or the like stored in the interview information storage means 41 may be collectively referred to as an interview chart.

  In addition, the interview information registration unit 42 sets the interview information storage unit 41 as an “employed employee” or the like as an employee who wants to monitor attendance information regardless of whether or not he / she is a candidate for the interview in response to a user operation. It may have a function of registering the information or canceling the registration. Hereinafter, employees who are registered in response to user operations and who want to monitor attendance information are referred to as monitoring subjects. The person to be monitored may be, for example, an employee who the user has determined that follow-up is necessary after the interview. The interview information registration means 42 may prepare an interface that can specify, for example, an employee or the like that the user has determined to require follow-up after the interview as a monitoring target person. The interview information registration means 42 may prepare an interface that can designate an employee who does not have an interview record as a monitoring target person. For example, among the employees extracted as the primary candidates, the user does not register as interview candidates at this time, but the user who wants to see the situation for the time being can also be designated as the monitoring subject.

  Based on various information stored in the interview information storage unit 41, the interview information presenting unit 43 informs the user of interview candidate information (including primary candidates and registered candidates), interview past record information, Present information about interviews of interview candidates or interviewed persons. For example, the interview information presenting means 43 prepares a screen for presenting interview information, and displays a list of primary candidates, a list of registered candidates, and individual interview information of designated registered candidates on the screen. You may let them. For example, the interview information presentation unit 43 may present information including a reason for extraction (for example, whether it is due to sign detection or due to attendance) as primary candidate information. In addition, the interview information presenting means 43 may present information including attendance information of the interview candidate as the interview candidate information, for example. The interview information presenting means 43 may present statistics obtained from various information stored in the interview information storage means 41. In addition, the interview information presenting means 43 may obtain a histogram or a time series change for various information stored in the interview information storage means 41 and its statistics, and may visualize and present it with a graph or the like.

  In addition, when the information about the person to be monitored is registered, the interview information presenting means 43 may present the attendance information on the person to be monitored that has been registered by a method that is easy for the user to view. In addition, when the monitoring target person is extracted as the primary candidate, the interview information presentation unit 43 may present information indicating that to the user.

  In the present embodiment, the interview information storage unit 41 is realized by, for example, a storage medium included in a computer that implements the line care support device 40. The interview information registration unit 42 and the interview information presentation unit 43 are realized by a CPU that operates according to a program provided in the computer, for example. Also in this example, each processing means and storage means included in the line care support device 40 may be separately mounted on separate devices. In that case, each device may be connected via any wired or wireless communication network.

  Next, the operation of this embodiment will be described. FIG. 6 is a flowchart showing an example of the operation of the line care support apparatus 40. Steps S101 to S103 are the same as those in the first embodiment, and a description thereof will be omitted.

  In the present embodiment, when the primary candidate list is generated by the primary candidate list generation unit 15, the interview information registration unit 42 stores the primary candidate information as the interview information storage unit 41 based on the generated primary candidate list. (Step S201). The interview information registration means 42, for example, as primary candidate information, together with information indicating that it is a primary candidate, identification information such as employees included in the primary candidate list, and an extraction type (whether it is due to sign detection or work status) Or the like may be stored in the interview information storage means 41. For example, the interview information registration unit 42 may store the primary candidate information as described above in the interview information storage unit 41 together with the extraction date. Instead of the interview information registration unit 42, the primary candidate list generation unit 15 may register the primary candidate information in the interview information storage unit 41.

  Next, the interview information presentation means 43 presents the primary candidate information to the user (step S202). The interview information presentation means 43, for example, as a primary candidate information, a list of primary candidates and various information about each primary candidate (identification information, name, affiliation, extraction type, attendance information, interview history, etc.) Alternatively, it may be displayed on a predetermined screen.

  Here, when receiving an instruction from the user to register the interview candidate as the primary candidate being displayed, the interview information registering means 42 stores the interview information as the registered candidate as the registered employee. Register in the means 41 (Yes in step S203, step S204). The interview information registration unit 42 includes, for example, information indicating that it is a registration candidate, registration information including identification information of the designated primary candidate, and extraction factors (for example, sign detection / working status / user designation). Person information may be stored in the interview information storage means 41. Further, for example, the interview information registration unit 42 may further store registration candidate information including a registration date in the interview information storage unit 41.

  Next, the interview information presenting means 43 presents registration candidate information to the user in response to a user operation (step S205). The interview information presentation means 43, for example, as a registration candidate information, a list of registration candidates and various information about each registration candidate (identification information, name, affiliation, interview schedule, extraction type, attendance information, interview history) Etc.) may be displayed on a predetermined screen.

  Here, when receiving an instruction from the user to register information related to the interview to the registered candidate being displayed, the interview information registering means 42 displays the input information for each of the specified registered candidates. The interview information is stored in the interview information storage means 41 as the interview information (Yes in step S206, step S207). The interview information registration unit 42 may store the individual interview information including the identification information of the designated registration candidate and the input information in the interview information storage unit 41. Further, for example, the interview information registration unit 42 may further store the individual interview information including the registration date in the interview information storage unit 41.

  FIG. 7 is a flowchart showing an example of the processing flow of the registration candidate list display processing by the interview information presentation unit 43. In the example shown in FIG. 7, the interview information presentation unit 43 first acquires registration candidate information and individual interview information of each registration candidate from the interview information storage unit 41 (step S301).

  Next, the interview information presenting means 43 confirms the individual interview information of each registration candidate, and if the interview schedule has been registered and the scheduled interview date is the current month (Yes in step S302, Yes in step S303). ), The interview status of the registered candidate in the list display is displayed as “to be implemented” (step S304). The interview information presenting means 43 may leave the interview status of the registered candidate in the list display blank in cases other than the above (No in step S302, No in step S303).

  FIG. 8 is a flowchart illustrating an example of a processing flow of a list display process of registered candidates and interviewed persons by the interview information presentation unit 43. In the example shown in FIG. 8, the interview information presentation unit 43 first acquires registration candidate information and individual interview information of each registration candidate from the interview information storage unit 41 (step S401).

  Next, the interview information presenting means 43 confirms the individual interview information of each registered candidate, and if the interview is conducted in the current month (Yes in step S402), the interview status of the registered candidate in the list display is displayed. It is displayed as “performed” (step S403). In the case other than the above (No in step S402), the interview information presenting means 43 may leave the interview status of the registered candidate in the list display blank, or according to steps S302 to S303 in the example shown in FIG. It may be processed.

  FIG. 9 is a flowchart illustrating an example of a process flow of a list display process of persons to be monitored by the interview information presentation unit 43. In the example shown in FIG. 9, the interview information presenting means 43 first refers to the interview information storage means 41 and confirms whether or not the monitoring subject is registered (step S501). If the monitoring subject is registered (Yes in step S501), the interview information presenting means 43 acquires the attendance information of the monitoring subject (step S502).

  Next, the interview information presenting means 43 presents the acquired attendance information to the user by a predetermined method (step S503). The interview information presenting means 43 monitors, for example, a predetermined area of a screen for presenting interview information (for example, a list display area for a monitoring target person provided on a screen serving as a top page among screens for presenting interview information). The attendance information of the target person may be always simply displayed. Thereby, the user can easily monitor the attendance information of the monitoring target person. As an example of the display method, there is a method of displaying the contents of a part of predetermined information items among information items of attendance information such as overtime hours, late-night overtime hours, and number of leave, along with the affiliation and name of the monitoring target person . The interview information presenting means 43 may determine information items to be displayed in advance, or may allow the user to select information items to be displayed. Alternatively, the interview information presenting means 43 can appropriately select and display frequently selected information items from the extraction factors specified by the first extracting means 13 and the second extracting means 14 in the past, for example. It is.

  FIG. 10 is a flowchart showing an example of the processing flow of the display process of the transition graph of the number of primary candidates by the interview information presentation unit 43. In the example shown in FIG. 10, the interview information presentation unit 43 first acquires the number of primary candidates, which is the number of primary candidates extracted by period, from the interview information storage unit 41 (step S601). Next, the interview information presentation unit 43 creates a transition graph of the obtained number of primary candidates and presents it to the user (step S602). For example, the interview information presenting means 43 may display a transition graph of the number of primary candidates in a predetermined area of the screen for presenting interview information. Here, the predetermined area may be a graph display area provided on the top page. Further, when creating the graph, the interview information presenting means 43 may draw the number of primary candidates by dividing the number of primary candidates into the number of primary candidates based on predictive detection and the number of primary candidates based on work status. In addition, the interview information presentation means 43 can visualize the information regarding an interview with various graphs other than the transition graph of the number of primary candidates for the interview.

  FIG. 11 is an explanatory diagram showing an example of a status confirmation screen as an example of an information presentation method by the interview information presentation unit 43. The interview information presenting means 43 may present information related to the interview to the user by using a status confirmation screen as shown in FIG. 11 as a top page, for example. Note that the status confirmation screen shown in FIG. 11 is an example of a screen for presenting information to the supervisor. As shown in FIG. 11, the status confirmation screen is a summary area (for example, area A101) that summarizes information related to the interview in an easy-to-understand manner from the manager's standpoint, employees who may be out of order from the manager's standpoint, etc. A graph display area (for example, area A102) that displays information (mainly statistics) that can be used to provide an overview of the extraction status or the progress thereof, and an area that can easily display the attendance information of the monitoring target person (for example, area) A103) is preferable.

  In the area A101 of this example, the number of employees or the like extracted for a predetermined reason in the current month is classified and displayed for each extraction reason. When these displays (buttons) are pressed on this screen, a screen including more detailed information as shown in FIG. 12 is displayed.

  FIG. 12 is an explanatory diagram showing an example of a primary candidate list display screen as an example of an information presentation method by the interview information presentation unit 43. For example, in the screen shown in FIG. 11, this screen is a display button corresponding to a classification item whose extraction reason is being a primary candidate by sign detection or a classification whose extraction reason is being a primary candidate based on work status Displayed when the display button corresponding to the item is pressed. FIG. 12 shows an example of a primary candidate list display screen for displaying a list of primary candidate information extracted in the current month. The interview information presenting means 43 uses such a primary candidate list display screen, and for each primary candidate, the reason for extraction, name, affiliation, interview status (conducted / planned / undecided etc.), etc. May be presented. In addition, as shown in FIG. 12, the interview information presenting means 43 registers an instruction button or an interview candidate for referring to the attendance information of the employee or the like in each record for displaying information on the primary candidate. For example, a GUI component (input means) for inputting predetermined information in response to a user operation, such as an instruction button, can be included. In the example shown in FIG. 12, the primary candidates based on work status and the primary candidates based on sign detection are listed together. However, the interview information presenting means 43 includes a primary candidate based on work status and sign detection. It is also possible to display the list separately from the primary candidates.

  FIG. 13 is an explanatory diagram showing an example of a primary candidate detail display screen as an example of an information presentation method by the interview information presentation unit 43. FIG. 13 shows an example of a primary candidate detail display screen that displays more detailed information of a designated primary candidate, particularly an extraction factor. Here, examples of more detailed information include information items specified as extraction factors by the first extraction means 13 and the second extraction means 14 and explanations about the contents thereof. In addition, as shown in FIG. 13, it is preferable that the registration instruction to the interview candidate and the confirmation instruction of attendance information can be performed from the user also on the primary candidate detail display screen.

  FIG. 14 is an explanatory diagram showing an example of an interview candidate list display screen as an example of an information presenting method by the interview information presenting means 43. This screen is, for example, a display button corresponding to a classification item whose extraction reason is being a registration candidate in the screen shown in FIG. 11 or a display button corresponding to a classification item whose extraction reason is being a interviewer Displayed when is pressed. FIG. 14 shows an example of interview candidate list display in which information of interview candidates (registered candidates) registered at present is displayed in a list. In addition, on this screen, the interviewers who interviewed in the current month are displayed as registration candidates. The interview information presenting means 43 uses such a list of interview candidates to display the interview status (completed / planned / undecided etc.) of each registered candidate, name, affiliation, scheduled date of interview or interview An implementation date or the like may be presented. Although not shown, the interview information presenting means 43 includes an instruction button for registering individual interview information (interview medical record) of the interview candidate in each record displaying the information of each interview candidate. It is also possible to include input means for inputting predetermined information in response to a user operation. In addition, the interview information presenting means 43 can also list the primary candidates based on the sign detection and the primary candidates based on the work status separately.

  FIG. 15 is an explanatory diagram showing an example of an attendance information confirmation screen as an example of an information presentation method by the interview information presentation unit 43. FIG. 15 shows information items (for example, overtime hours, late night / absence hours, annual leave / FF leave, poor attendance, etc.) that are expected to have a significant impact on the possibility of absence from work. An example of the attendance information confirmation screen that displays a list for each predetermined distinction such as by department, department, or individual, a transition graph for the specified target, a graph that compares statistics by period, etc. ing. Here, “FF leave” represents a leave that can be used for the person's visit to the hospital or family care. The interview information presenting means 43 displays the contents of the information items of the time information set in advance on the time information confirmation screen, as well as the information items selected by the user and the extraction factors specified by the first extraction means 13. It is also possible to display frequently selected information items or the like from among them. The interview information presenting means 43 may prepare a GUI that can confirm the contents of all information items of the attendance information for the designated target. In addition, the interview information registration unit 42 may receive a monitoring target person registration instruction from the user using such an attendance information confirmation screen.

  FIG. 16 is an explanatory diagram showing an example of a screen for displaying / inputting individual interview information of a designated employee or the like. FIG. 16 shows an area for displaying personal information such as affiliation (department name, section name, etc.), identification information (employee number, etc.), name, title, number of interviews, etc. An employee interview summary screen including an area to be displayed, an area to display an interview history, and input means such as an instruction button for instructing the creation of a new interview schedule is shown. The interview information presenting means 43 and the interview information registering means 42 use the screen as shown in FIG. 16 to confirm the interview schedule and interview history of employees who are candidates for the interview, and to register a new interview schedule. May be performed. When registering the registration candidate, the interview information registration unit 42 secures a storage area in the interview information storage unit 41 for registering the interview schedule in association with the registration candidate, and thereafter acquiring necessary information. You may be able to register.

  FIG. 17 is an explanatory diagram showing an example of a screen for inputting individual interview information of a designated employee or the like. FIG. 17 shows an interview chart input screen including an area for displaying personal information for a designated employee and the like and input means for inputting various items to be recorded at the time of the interview. The interview information registration means 42 may cause the user to register information and interview results required before the interview using such a screen. By registering information and interview results required before such an interview, the user can refer to the information at any time thereafter. The interview information registration unit 42 can also perform processing such as registering the corresponding employee or the like as the interview person in the interview information storage unit 41 when the interview result is registered.

  FIG. 18 is an explanatory diagram showing an example of a screen for referring to individual interview information of a designated employee or the like. FIG. 18 shows an interview chart reference screen including a display area for displaying the contents of the interview chart registered in association with the designated employee or the like.

  As described above, according to the present embodiment, not only the interview candidates can be extracted effectively, but also the schedule management of the interview and the management of information necessary for the interview can be performed together, so the interview is performed efficiently. be able to. In addition, because information related to interviews is managed in a batch, the effect of interviews can be shown to the user, such as showing the temporal changes in the number of primary candidates or extracting and presenting the relationship between the interview results and the number of primary candidates. Information that can be confirmed can be presented. In addition, according to the present embodiment, since it is possible to monitor the subsequent extraction status of employees who have conducted interviews in the past, it is also possible to present information that can confirm the interview effect to the user based on the monitoring results. . In addition, the interview information presenting means 43 determines the effect of the interview for each period based on the predetermined effect determination criteria for the information related to the interview, such as whether or not the number of primary candidates is decreasing, and presents the determination result. It is also possible to do. At this time, the interview information presenting means 43 may determine the effect of the interview for only the number of primary candidates according to the work status.

  In addition, although the example provided with the interview information storage means 41, the interview information registration means 42, and the interview information presentation means 43 was shown in FIG. 5, in addition to the structure of 3rd Embodiment, a mental health care support system is shown. In addition, a configuration in which the interview information storage unit 41, the interview information registration unit 42, and the interview information presentation unit 43 are added to the configuration of the other embodiment.

Embodiment 5. FIG.
Next, a fifth embodiment of the present invention will be described. FIG. 19 is a block diagram illustrating a configuration example of the line care support apparatus 50 according to the fifth embodiment. The line care support device 50 shown in FIG. 19 is different from the configuration of the line care support device 30 of the fourth embodiment shown in FIG. 5 in that it further includes user authority management means 51.

  The user authority management means 51 is used by the user in the line care support device 50 and / or a server or the like that transmits information provided by the line care support device 50 to the Klein terminal (hereinafter collectively referred to as “information providing device”). Register, change, or delete permissions.

  The user authority management means 51, for example, assigns all registered users (for example, all users who can access the information providing apparatus of the present system) in advance based on the user's affiliation, job title, and business contents. It may be divided into predetermined categories such as / administrator / developer / unusable, and authority according to the category may be given to each user.

  Here, for example, as the authority for the supervisor, the registration / change of the user and the authority cannot be set, but the range of information set by the business unit, department or section unit is set to be viewable. Also good. At this time, information other than the business division, department or section to which the user belongs cannot be viewed. In addition to the authority for the supervisor, the setting for enabling user registration, authority setting, and change may be made as the authority for the developer. In addition, a setting for disabling all functions may be set as an unusable authority. In addition, as general authority, user registration / change, authority setting, and browsing of information on interviews of all employees, etc. are not possible, but it is possible to browse their attendance information and apply for interviews with management supervisors It may be set to.

  Further, the user authority management unit 51 may include a user authority storage unit that stores a user authority classification and authority content in association with a user identifier. The user authority management means 51 may manage the authority of each user in the information providing apparatus of this system using such user authority storage means.

  In the system, processing means for presenting information to the user (for example, the interview information presenting means 43 or the primary candidate list generating means 15 in the first embodiment), when the user logs in to the information providing apparatus of the system, The authority classification of the user is confirmed based on the identifier of the user. The processing means restricts information to be presented to the user based on the authority content set in the authority classification of the user. For example, the processing means sets the screen for displaying information without the viewing authority to the non-display setting, sets the GUI component for switching to the screen to the non-display setting, and displays the display content in the screen. It may be possible to make it impossible to select a GUI component or the like for switching to information with no information, or to make it non-display setting. Further, the processing means may prepare different screens depending on the authority classification, and display a screen corresponding to the user authority classification.

  FIG. 20 is an explanatory diagram showing an example of a user registration screen as an example of a user registration method by the user authority management unit 51. For example, the user authority management unit 51 may cause a specific user to input information regarding the user's registration authority using a screen as illustrated in FIG. 20. Further, the user authority management unit 51 may set an authority for a designated user in accordance with such a user operation on the screen. In FIG. 20, input means for inputting information for specifying a user to be registered, such as an employee number, an area for displaying information on the specified user, and information browsing for the specified user are shown. An input means for inputting a permitted range (whether it is a business unit unit, a department unit or a section unit, etc.), an input means for inputting an authority category (indicated as a user level in the figure), and an input unit means for inputting a registration instruction A user registration screen including is shown.

  In the present embodiment, the user authority management unit 51 is realized by a CPU that operates according to a program included in a computer that implements the line care support apparatus 50, for example. Also in this example, each processing means and storage means included in the line care support device 50 may be separately mounted on separate devices. In that case, each device may be connected via any wired or wireless communication network.

  As described above, according to the present embodiment, since the viewing range of information presented by the line care support device can be limited, the effects of the above-described embodiments can be obtained while protecting the privacy of employees and the like. .

  In addition, although the example provided with the user authority management means 51 in addition to the structure of 4th Embodiment was shown in FIG. 19, a mental health care support system has the user authority management means 51 in the structure of other embodiment. May be added.

  Next, the minimum configuration of the line care support apparatus according to the present invention will be described. FIG. 21 is a block diagram showing a minimum configuration example of the line care support apparatus according to the present invention.

  As shown in FIG. 21, the line care support apparatus according to the present invention includes first extraction means 101, second extraction means 102, and primary candidate list generation means 103.

  The first extraction means 101 (for example, the first extraction means 13) is configured to manage the management object based on the attendance information of the employee who has taken leave due to mental health failure and the attendance information of the employee to be managed. Employees showing signs of leave are extracted from among the employees.

  The second extraction unit 102 (for example, the second extraction unit 14) is an interview that is defined by using information items of work status information that is information about work status of employees and the like and includes at least time information. Employees etc. that meet specific conditions that are conditions related to candidate selection and that are defined based on the human subjectivity that satisfies the predetermined conditions are extracted from the employees etc. that are to be managed .

  The primary candidate list generation means 103 (for example, the primary candidate list generation means 15) is a list of primary candidates for the interview based on the extraction result by the first extraction means and the extraction result by the second extraction means. A primary candidate list is generated and output.

  With such a configuration, since leakage in interview candidate extraction by a computer can be reduced, employees who may be out of order can be efficiently connected to the interview.

  FIG. 22 is a block diagram showing a minimum configuration example of the mental health care support system according to the present invention. As shown in FIG. 22, the mental health care support system according to the present invention includes a first extraction unit 101, a second extraction unit 102, a primary candidate list generation unit 103, a work status information storage unit 104, Specific condition storage means 105.

  The first extraction unit 101, the second extraction unit 102, and the primary candidate list generation unit 103 may be the same as described above.

  The work status information storage unit 104 (for example, the work status information storage unit 11) stores work status information of employees and the like.

  The specific condition storage unit 105 (for example, the specific condition storage unit 12) stores the specific condition.

  With such a configuration, since leaks can be reduced in the extraction of interview candidates by a computer, employees who may be out of order at the target company or the like can be efficiently connected to the interview.

  The line care support apparatus may further include work status information storage means for storing work status information of employees and the like, and specific condition storage means for storing specific conditions.

  Further, the mental health care support system or the line care support device further includes a specific condition capturing unit that captures information indicating a selection method of an employee or the like that may be malfunctioning by a human who satisfies a predetermined condition and generates a specific condition. You may have.

  In addition, the mental health care support system or the line care support device stores interview information that stores information including at least information indicating a primary candidate of the interview and information indicating a registered candidate who is the interview candidate specified by the user. Based on the information stored in the storage means, the interview information storage means, the interview information presenting means for presenting information about the primary candidate for the interview to the user, and the information indicating the interview candidate according to the user operation You may further provide the interview information registration means registered into an information storage means.

  Further, in the mental health care support system or the line care support device, the interview information storage means stores information including interview result person information indicating the employee who conducted the interview, and individual interview information indicating the contents of the interview. The interview information presenting means may present the past interview contents of the designated employee or the like to the user based on the information stored in the interview information storage means.

  Further, in the mental health care support system or the line care support device, the interview information storage means stores information indicating a monitoring target person such as an employee who wants to monitor work information specified by the user, and provides interview information presentation means. May present the content of a predetermined information item that is a part of the information item of the attendance information of the monitoring subject to the user based on the information stored in the interview information storage means.

  Further, in the mental health care support system or the line care support device, the interview information presenting means includes the contents of some predetermined information items in the attendance information of the monitored person, and the top page of the interview information presenting screen. You may show to a user using the screen displayed.

  Further, in the mental health care support system or the line care support device, the interview information presenting means further presents a graph displaying the temporal change of the number of primary candidates, which is the number of primary candidates extracted, for each extraction reason to the user. Also good.

  Although the present invention has been described with reference to the embodiments and examples, the present invention is not limited to the above embodiments and examples. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

  The present invention is not limited to the use for directly supporting management supervisors in conducting interviews for mental health care of employees, etc., but is also used for extracting employees who may be out of order or for bridging interviews. It can also be suitably applied to applications that indirectly support the conduct of interviews for mental health care of employees and the like. In addition, the present invention can also be applied to an extraction application for employees who may take leave for reasons other than mental health problems.

10, 20, 30, 40, 50 Line care support device 11, 104 Work status information storage means 12, 105 Specific condition storage means 13, 101 First extraction means 14, 102 Second extraction means 15, 103 Primary candidates List generation means 21 Specific condition generation means 31 Prediction rule storage means 32 Prediction rule learning means 41 Interview information storage means 42 Interview information registration means 43 Interview information presentation means 51 User authority management means

Claims (10)

Work status information storage means for storing work status information that is information related to the work status of employees, etc. and includes at least time information;
A specific condition storage means for storing a specific condition that is a condition related to selection of interview candidates specified using information items of work status information, and is a condition specified based on human subjectivity that satisfies a predetermined condition; ,
Based on the attendance information of employees who have taken leave due to mental health problems and the attendance information of employees who are subject to management, etc., employees etc. that are subject to management are extracted from employees who are subject to management. First extracting means for
Second extraction means for extracting employees etc. that match the specific conditions stored in the specific condition storage means from among employees to be managed;
The employee extracted by the first extraction means and the employee extracted by the second extraction means are combined to generate a primary candidate list that is a list of primary candidates for the interview. A mental health care support system comprising a primary candidate list generation means for outputting. The mental health care support system according to claim 1, further comprising: a specific condition capturing unit that captures information indicating a selection method of employees who may be malfunctioning by a human who satisfies a predetermined condition and generates a specific condition. Interview information storage means for storing at least at least information indicating a primary candidate for an interview and information indicating a registered candidate who is an interview candidate designated by the user as information related to the interview;
Based on the information stored in the interview information storage means, interview information presenting means for presenting information on the primary candidate for the interview to the user,
The mental health care support system according to claim 1, further comprising an interview information registration unit that registers information indicating an interview candidate in the interview information storage unit in response to a user operation. The interview information storage means further stores, as information related to the interview, information indicating an interviewed person who is an employee who has performed an interview, and individual interview information indicating the contents of the interview performed for the interviewed person,
The mental health care support system according to claim 3, wherein the interview information presenting means presents the past interview contents of the designated employee or the like to the user based on the information stored in the interview information storage means. The interview information storage means further stores information indicating a monitoring target person specified by the user, such as an employee who wants to monitor work information,
The interview information presenting means presents the contents of a predetermined part of information items of the attendance information of the monitoring target person to the user based on the information stored in the interview information storage means. 4. Mental health care support system according to 4. The mental information according to claim 5, wherein the interview information presenting means displays the contents of a predetermined part of the information items of the attendance information of the monitoring target person on a screen that is used as a top page among the screens for presenting the interview information. Healthcare support system. The mental information according to any one of claims 3 to 6, wherein the interview information presentation means presents a graph showing a temporal change in the number of primary candidates, which is the number of primary candidates extracted, for each extraction reason. Healthcare support system. Based on the attendance information of employees who have taken leave due to mental health problems and the attendance information of employees who are subject to management, etc., employees etc. that are subject to management are extracted from employees who are subject to management. First extracting means for
Information about the working status of employees, etc., which is a condition related to selection of interview candidates specified using information items of working status information, which is information that includes at least attendance information. A second extraction means for extracting employees, etc. that meet specific conditions, which are conditions defined based on
Primary candidate list generation means for generating and outputting a primary candidate list, which is a list of primary candidates for the interview, based on the extraction result by the first extraction means and the extraction result by the second extraction means A line care support device characterized by comprising: Employees whose computers indicate signs of absence from among the employees to be managed based on the attendance information of those who have taken leave due to mental health problems and the attendance information of employees to be managed Etc.,
Computer is a condition for selecting interview candidates specified by using information items of work status information, which is information related to the work status of employees, etc. and includes at least time information, and satisfies a predetermined condition Employees etc. that meet specific conditions that are defined based on human subjectivity are extracted from the employees etc. that are subject to management,
The computer generates a primary candidate list, which is a list of primary candidates for interviews, by combining the extracted employees and the like indicating the sign of leave and the employees who meet the extracted specific conditions. Mental health care support method characterized by output. On the computer,
Based on the attendance information of employees who have taken leave due to mental health problems and the attendance information of employees who are subject to management, etc., employees etc. that are subject to management are extracted from employees who are subject to management. A first process to
This is a condition for selecting interview candidates that is defined using information items in work status information, which is information on work status that includes at least employee attendance information. A second process of extracting employees, etc., that match a specific condition, which is a condition to be managed, from among employees, etc., to be managed, and an extraction result of the first process, and the second process. A mental health care support program for executing a process of generating and outputting a primary candidate list that is a list of primary candidates for an interview based on the extraction result.

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