JP2014182472A - Health care support system, health care support method and health care support program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a health care support system, a health care support method and a health care support program for supporting health care on the basis of medical checkup data and health insurance claim data.SOLUTION: A control section 21 of a health care support server 20 executes registration processing of the health insurance claim data and medical checkup result data. The control section 21 executes calculation processing of a statistical indicator. The control section 21 executes evaluation processing of a health insurance claim and a medical checkup result, and the evaluation processing by checking the health insurance claim with the medical checkup result. The control section 21 executes monitoring processing for outputting a state of undergoing examination and medical checkup in a medical institution. The control section 21 uses the health insurance claim data and the medical checkup result data to execute future prediction processing for predicting future medical expenses and determining health guidance according to the predicted expenses. The control section 21 executes health guidance support processing for checking an effect of the health guidance.

Description

  The present invention relates to a health management support system, a health management support method, and a health management support program for supporting health management based on health diagnosis data and receipt data.

  Today, electronic reception is being performed in medical institutions. In addition, the results of medical checkups for insured persons are being digitized. And the technique which provides medical information using such information is examined. For example, a medical information processing system that lists health guidance / intervention subjects has been studied (see, for example, Patent Document 1). In the technique described in this document, a medical information processing system having a receipt data holding unit, a health diagnosis data holding unit, a test data holding unit when a medical institution is consulted, and the like are used. Then, the receipt data and health check data are collated for each individual. From the above, those that deviate from the threshold are detected. Then, the insurer or the like selects a target person who will give health guidance / intervention to the insured.

  In addition, a health business support system that predicts a medical cost reduction effect by health guidance and selects a guidance subject who is highly cost-effective has been studied (for example, see Patent Document 2). In the technology described in this document, the severity and test values of health insurance subscribers using a health business support system that selects health guidance subjects based on the receipt information, medical examination information, and health guidance information. A medical cost model indicating the predicted medical cost for each is created. Further, a test value improvement model indicating the severity and the improvement amount for each test value is created. Then, a predicted medical cost reduction amount by health guidance is calculated for each severity and test value, and a health insurance subscriber who belongs to the severity and test value having a high predicted medical cost reduction amount is selected as a health guidance target person.

JP 2009-54124 A (first page, FIG. 1) JP 2012-128670 A (first page, FIG. 1)

  For insurers, it is important to maintain and manage the health of the insured, and to reduce health care costs through health promotion and disease prevention. However, there are various health business measures for health promotion and disease prevention, and it may be difficult to formulate effective measures.

  The present invention has been made to solve the above-described problems, and its purpose is to provide a health management support system, a health management support method, and health for supporting health management based on health checkup data and receipt data. To provide a management support program.

  (1) A health management support system, a health management support method, and a health management support program for solving the above-described problems, wherein a receipt data storage unit that records the insured person's receipt data for each hierarchy of the organization to which the organization belongs; The medical examination result data storage unit that records the medical examination data of the insured person, and a control unit that supports health management of each affiliation, and the control unit stores the medical examination result data storage unit for each evaluation period The medical examination data recorded in the medical examination data is classified based on a specific rule, and the insured of the medical examination results belonging to the classification, using the receipt data recorded in the receipt data storage unit, The related medical treatment corresponding to the medical examination result is identified, the monitoring process for calculating the statistical value of the medical cost of the related medical care is executed, and the evaluation result for each evaluation period in the monitoring process Comparison, and outputs the comparison result. Thereby, medical expenses can be evaluated using the insured person's receipt data and medical examination result data.

  (2) Furthermore, the medical information of the injury and illness which has the possibility to develop corresponding to the medical examination item included in the medical examination result is provided, and the injury and illness information storage unit is recorded. It is preferable to specify medical cost information for the wound corresponding to the health check result and to predict a future medical cost for the wound. Thereby, future medical expenses can be predicted corresponding to the medical examination result.

  (3) Furthermore, it comprises a health guidance information storage unit that records health guidance information for preventing injuries and diseases that may develop in response to a medical examination result, and using the health guidance information storage unit, It is preferable to output health guidance information corresponding to the medical examination result. Thereby, the health guidance which reduces medical expenses corresponding to a medical examination result can be proposed.

  (4) Furthermore, health guidance information for preventing the onset and spread of wounds is recorded in the wound information storage unit corresponding to the receipt items included in the receipt data, and is included in the receipt data. An evaluation index for the receipt item is calculated, a receipt item for the receipt data having a large degree of divergence between the evaluation index and a reference value is specified, and the health guidance corresponding to the receipt item using the health guidance information storage unit It is preferable to output information. Thereby, health guidance can be proposed based on the receipt data having a large degree of deviation.

  (5) Further, an evaluation index is calculated for the health check items included in the health check data, and the relatedness is calculated based on the insured's receipt data of the health check data with a large degree of deviation between the evaluation index and a reference value. It is preferable that a medical treatment status is specified, a future medical cost is predicted based on the medical status, and health guidance information is output based on the medical cost using the health guidance information storage unit. Thereby, health guidance can be proposed based on the health diagnosis data having a large degree of deviation.

  (6) Further, the correlation between the statistical index of the medical examination item included in the medical examination data and the statistical index of the reception item included in the receipt data is calculated, and the correlation is higher than a predetermined reference value It is preferable to specify a medical examination item and output the health guidance information based on the medical cost using the health guidance information storage unit. Thereby, health guidance can be proposed in consideration of the correlation between the medical examination result data and the receipt data.

  (7) Furthermore, the results of health guidance given to the insured belonging to the hierarchy are acquired, and at least one of receipt data before and after the health guidance or medical examination result data is acquired, and the health guidance is acquired. Based on at least one of the comparison between the previous receipt data and the receipt data after the health guidance, or the comparison between the health examination result data before the health guidance and the health examination result data after the health guidance, the health guidance It is preferable to generate information regarding effectiveness. Thereby, the effectiveness of the health guidance results can be evaluated.

  According to the present invention, health management can be supported based on health checkup data and receipt data.

The system schematic of this embodiment. It is explanatory drawing of the data used in this embodiment, (a) is a basic information storage part, (b) is a receipt data storage part, (c) is a medical examination result data storage part, (d) is a health guidance status memory | storage. (E) Explanatory drawing of the data recorded on the evaluation information storage part. Explanatory drawing of the process sequence of this embodiment. It is explanatory drawing of the process sequence of this embodiment, Comprising: (a) is a reception evaluation process, (b) is explanatory drawing of a medical examination result evaluation process. It is explanatory drawing of the process sequence of this embodiment, Comprising: (a) is the evaluation process by the match of a receipt and a medical examination result, (b) is explanatory drawing of a monitoring process. It is explanatory drawing of the process sequence of this embodiment, Comprising: (a) is 1st future prediction process, (b) is explanatory drawing of 2nd future prediction process. Explanatory drawing of the relationship of the classification | category of the medical examination result of this embodiment, the classification of related medical treatment, and future prediction. Explanatory drawing of the process sequence of this embodiment.

  Hereinafter, an embodiment in which a health management support system, a health management support method, and a health management support program are embodied will be described with reference to FIGS. In the present embodiment, health examination consultation result data (medical examination result data) and medical fee remuneration statement data (receipt data) of an employee (insured person) of an organization to which health insurance is applied are acquired, and these data are stored in these data. Based on this, it is assumed that health guidance is given to the insured. It is assumed that the organization in this embodiment is composed of a plurality of hierarchies. For example, it is composed of each hierarchy of offices, departments, sections, etc. in order from the upper hierarchy.

As shown in FIG. 1, in this embodiment, a health management support server 20 connected to the person-in-charge terminal 10 is used.
The person-in-charge terminal 10 is a computer terminal used by a person in charge (for example, an insurer) who performs health management and health guidance at each office. The person-in-charge terminal 10 includes an output unit and an input unit. The output unit is a means for outputting various types of information, and includes a display or the like. The input unit is a means for inputting various types of information, and includes a keyboard, a pointing device, and the like.

  The health management support server 20 is a computer system for providing health management support for the insured. The health management support server 20 includes a control unit 21, a basic information storage unit 22, a receipt data storage unit 23, a medical examination result data storage unit 24, a health guidance status storage unit 25, and an evaluation information storage unit 26.

  The control unit 21 includes a control unit including a CPU, a memory such as a RAM and a ROM, and executes a process of performing health management and health guidance. By executing the health management support program for this purpose, the control unit 21 functions as a management unit 211, an evaluation unit 212, a monitoring unit 213, a future prediction unit 214, and a health guidance support unit 215.

  The management unit 211 executes a process of providing health guidance information based on an instruction from the person-in-charge terminal 10. The management unit 211 holds data relating to a function (for example, [average value ± k * standard deviation]) that defines a range of normal values in order to remove abnormal values.

  The evaluation unit 212 executes a process of determining health guidance candidates by evaluating the receipt data and the medical examination result data. The evaluation unit 212 holds data related to a reference value for evaluating the degree of divergence of each index. In addition, for each medical examination item, data regarding a reference range for determining each classification of “no problem”, “somewhat problematic”, and “problematic” is held.

The monitoring unit 213 executes processing for providing information related to the medical institution consultation status and the medical examination status based on the receipt data and the medical examination result data.
The future prediction unit 214 performs a process of predicting future medical expenses based on the receipt data and the medical examination result data, and identifying health guidance candidates based on the prediction.

  The health guidance support unit 215 executes processing for providing information on the effectiveness of health guidance according to the health guidance status. The health guidance support unit 215 holds data regarding the reference number for determining whether or not the health guidance is effective in the organization.

  As shown in FIG. 2A, the basic information storage unit 22 includes various tables (index calculation table 221, injury / disease table 222, health guidance table 223) for evaluating the receipt data and the medical examination result data. It is recorded. These various tables are registered prior to service provision.

The index calculation table 221 stores data related to the index calculation function for calculating the index value in association with the index items for the receipt data and the medical examination result data.
The injury and illness table 222 functions as an injury and illness information storage unit, and stores information for associating an injury and illness name with an item included in a receipt or a medical examination result. Specifically, in relation to the name of the wound, the value of the health check item included in the health check result, the name of the wound (including the related wound) included in the receipt, and the medical treatment content (medical practice, pharmaceuticals, specified equipment, etc.) Data on is recorded. Further, the medical expenses (statistical values) necessary for the treatment of each sickness and disease are recorded in the sickness and sickness table 222.

  The health guidance table 223 functions as a health guidance information storage unit, and stores health guidance information that is performed in order to prevent the onset and spread of injury and illness. Specifically, data relating to the contents of health guidance and costs necessary for each health guidance are recorded in association with names of injuries and diseases that may develop.

  As shown in FIG. 2 (b), the receipt data 230 about the medical record of the insured person at the medical institution is recorded in the receipt data storage unit 23. The receipt data 230 is recorded when receipt data is acquired from each insurer. The receipt data 230 includes data related to the date, organization code, insured code, injury / illness name, medical treatment content, and score.

Data related to the date on which the receipt data is registered is recorded in the date data area.
In the organization code data area, data relating to an identifier for specifying the organization to which the insured belongs is recorded. In the present embodiment, as the organization code, an identifier that can identify each layer from the upper layer to the lower layer is used for the organization to which the insured belongs. For example, an organization code that can specify each hierarchy such as a business office, a department, and a section to which the insured belongs in order from the upper hierarchy.

In the insured person code data area, data relating to an identifier for identifying the insured person is recorded.
In the injury and illness name data area, data relating to an identifier for identifying the injury or illness that the insured has received medical care at a medical institution is recorded.

In the medical treatment content data area, data relating to an identifier for identifying a medical practice, medical supplies, specific equipment, etc. performed for an insured person in a medical institution is recorded.
In the score data area, data related to the claim score generated by the medical treatment contents is recorded. Based on this score, the medical cost can be calculated.

  As shown in FIG. 2C, the medical checkup result data 240 is recorded in the medical checkup result data storage unit 24 regarding the health checkup result of the insured. This medical examination result data 240 is recorded when medical examination result data is acquired from each insurer. The medical examination result data 240 includes data on date, organization code, insured code, medical examination items, and item values.

In the year / month / day data area, data related to the date / year on which the medical examination result data is registered is recorded.
In the organization code data area, data relating to an identifier for specifying the organization to which the insured belongs is recorded. Also in this organization code, an identifier that can identify each layer from the upper layer to the lower layer is used for the organization to which the insured belongs.

In the insured person code data area, data relating to an identifier for identifying the insured person is recorded.
In the medical examination item data area, data relating to an identifier for specifying an item to be diagnosed in the medical examination is recorded.
In the item value data area, data relating to the measurement value (checkup result) of this checkup item is recorded.

  As shown in FIG. 2D, the health guidance status storage unit 25 records health guidance status data 250 on the health guidance performance for the insured. This health guidance status data 250 is recorded when health guidance data is acquired from each insurer. The health guidance status data 250 includes data relating to the organization code, the insured code, the health guidance time, and the health guidance content.

  In the organization code data area, data relating to an identifier for identifying the organization to which the insured person who has received health guidance belongs is recorded. Also in this organization code, an identifier that can identify each layer from the upper layer to the lower layer is used for the organization to which the insured belongs.

In the insured person code data area, data relating to an identifier for identifying the insured person is recorded.
In the health guidance time data area, data related to the time (start time and end time) when health guidance is given is recorded.
In the health guidance content data area, data relating to the content of health guidance is recorded.

  As shown in FIG. 2 (e), the evaluation information storage unit 26 stores evaluation result data 260 and monitoring data 261 regarding the evaluation related to the insured's receipt and the medical examination result. The evaluation result data 260 and the monitoring data 261 are recorded when various evaluations are performed. The evaluation result data 260 includes data related to the organization code, year, month, index item, index value, and divergence degree.

In the organization code data area, data relating to an identifier for identifying the organization that has performed the evaluation process is recorded. Also in this organization code, an identifier that can identify each layer from the upper layer to the lower layer is used for the organization to which the insured belongs.
In the year / month data area, data related to the year / month of the evaluation process is recorded.

In the index item data area, data relating to an identifier for specifying an index for evaluating a receipt or a medical examination result is recorded.
In the index value data area, data relating to statistical values calculated for index items in this organization is recorded.

  In the divergence degree data area, data indicating the discrete situation (degree of divergence) from the index values of other organizations is recorded for the index values in this organization. The degree of divergence can be calculated, for example, by dividing the index value in this organization by the index value in the upper hierarchy of this organization.

The monitoring data 261 includes data related to an organization code, a date, a medical institution visit status, a health checkup status, and a year-on-year comparison.
In the organization code data area, data relating to an identifier for specifying the organization to which the insured belongs is recorded. Also in this organization code, an identifier that can identify each layer from the upper layer to the lower layer is used for the organization to which the insured belongs.

In the year / month data area, data related to the year / month of the monitoring process is recorded.
In the medical institution visit status data area, data on the medical institution visit status (the number of people visited and the total amount of medical care) in the evaluation target date is recorded.

In the health checkup reception status data area, data related to the health checkup reception status (number of people who have received medical checkup) in the evaluation target date is recorded.
In the year-on-year data area, data indicating temporal changes in the medical institution visit status is recorded. In the present embodiment, the ratio obtained by dividing the number of people visited and the total amount of medical care for this fiscal year by the number of people examined and the total amount of medical care for the previous year is recorded.

  Next, registration of data for performing health management support in the above-described system will be described. When registering various data, the person in charge of each business operator accesses the health management support server 20 using the person-in-charge terminal 10.

(Registration of receipt data)
When registering the receipt data, the person-in-charge terminal 10 is used to upload the receipt data to the health management support server 20. The receipt data includes information on a medical institution examinee (insured person), a consultation time, a name of a wound and a medical treatment content. In this case, the control unit 21 of the health management support server 20 registers the receipt data 230 in which the organization code of the organization to which the insured belongs is set in the receipt data storage unit 23.

(Registration of medical examination result data)
When registering the medical examination result data, the person in charge terminal 10 is used to upload the medical examination result data to the health management support server 20. This medical examination result data includes information on the person who received the medical examination (insured person), the medical examination time, and the contents of the medical examination result. In this case, the control unit 21 of the health management support server 20 registers the medical examination result data 240 in which the organization code of the organization to which the insured belongs is set in the medical examination result data storage unit 24.

(Registration of health guidance status data)
When registering the health guidance status data, the health guidance data is uploaded to the health management support server 20 using the person-in-charge terminal 10. This health guidance data includes information on the person (insured person), timing and contents of health guidance. In this case, the control unit 21 of the health management support server 20 records the health guidance status data 250 in which the organization code of the organization to which the insured belongs is set in the health guidance status storage unit 25.

(Health guidance support processing)
Next, the health guidance support process will be described with reference to FIG. Here, evaluation processing, monitoring processing, future prediction processing, health guidance support processing, and the like are performed using the insured person's receipt data and health check data. And based on these processes, the content of health guidance is determined.

Here, the evaluation target date is specified, the processing target hierarchy is sequentially specified in the insured's affiliation organization (the whole, upper hierarchy to lower hierarchy), and the following processing is repeated for this processing target hierarchy.
First, the control unit 21 of the health management support server 20 executes processing for removing abnormal values (step S1-1). Specifically, the management unit 211 of the control unit 21 acquires the evaluation date, the reception data 230 of the processing target layer, and the medical examination result data 240 from the reception data storage unit 23 and the medical examination result data storage unit 24, respectively. To do. Then, the management unit 211 calculates a representative value (for example, a statistical value such as an average value) of each item value or an index (for example, a standard deviation or the like) indicating a dispersion state in the acquired receipt data and medical examination result data. . Then, the management unit 211 removes item values having a large deviation from the representative value as abnormal values. For example, item values exceeding the normal value range [average value ± k * standard deviation] are removed as abnormal values. Here, “k” is a constant that determines the range of normal values.

  Next, the control unit 21 of the health management support server 20 executes a statistical index calculation process (step S1-2). Specifically, the management unit 211 of the control unit 21 acquires an index calculation function for calculating each statistical index from the index calculation table 221 recorded in the basic information storage unit 22. Then, the management unit 211 calculates the index value by substituting the item value from which the abnormal value is removed into the index calculation function. Then, in the evaluation information storage unit 26, the management unit 211 generates evaluation result data 260 in which the organization code and the evaluation target year / month of the processing target hierarchy are recorded in the organization code data region and the year / month data region, respectively. Then, the index item and the index value are recorded in the index item data area and the index value data area, respectively.

The above processing is repeated until the process is completed for all hierarchies to which the insured belongs.
Then, the control unit 21 of the health management support server 20 performs the following evaluation process (step S1-3), monitoring process (step S1-4), future prediction process (step S1-5), and health guidance support process (described later). Step S1-6) is executed. In the present embodiment, processing designated by the person in charge is executed in the person-in-charge terminal 10.

  In the evaluation process (step S1-3), the evaluation unit 212 of the control unit 21 executes a later-described reception evaluation process, a medical examination result evaluation process, and an evaluation process based on a match between the reception and the medical examination result.

Further, in the monitoring process (step S1-4), the monitoring unit 213 of the control unit 21 outputs the medical examination status and the medical examination status at the medical institution as will be described later.
In the future prediction process (step S1-5), the future prediction unit 214 of the control unit 21 executes a first future prediction process and a second future prediction process described later. In this future prediction process, health guidance candidates are specified according to the prediction of future medical expenses.

In the health guidance support process (step S1-6), the health guidance support unit 215 of the control unit 21 executes a process for confirming the effect of the health guidance.
And the control part 21 of the health management assistance server 20 performs the determination process of health guidance information (step S1-7). Specifically, the management unit 211 of the control unit 21 outputs the processing results of the evaluation process (step S1-3) to the health guidance support process (step S1-6) to the person-in-charge terminal 10.

(Reception evaluation process)
Next, the reception evaluation process will be described with reference to FIG. In this process, a process for extracting items having a large degree of deviation in the receipt data 230 as candidates for health guidance is executed.

  Here, first, in the whole (upper hierarchy to lower hierarchy), processing target hierarchies for performing the reception evaluation process are sequentially specified. And about the process object hierarchy, the parameter | index regarding a receipt is specified as an evaluation object parameter | index sequentially, and the following processes are repeated.

First, the control unit 21 of the health management support server 20 executes a process of calculating a divergence degree with respect to a statistical value (step S2-1). Specifically, the evaluation unit 212 of the control unit 21 specifies another layer related to the processing target layer. As another hierarchy, for example, the upper hierarchy of the process target hierarchy or the entire hierarchy (national) is used. The evaluation unit 212 records the evaluation target date in the year / month data area, and acquires the index value (statistical value) of the evaluation target index in another hierarchy from the evaluation information storage unit 26. Next, the evaluation unit 212 calculates the degree of divergence of the index value of the processing target hierarchy with respect to the index value of another hierarchy. Then, the evaluation unit 212 records, in the evaluation information storage unit 26, the degree of divergence of the evaluation index related to the receipt in association with the organization code and the index item.
The above processing is repeated for all indexes and all layers.

  Next, the control unit 21 of the health management support server 20 performs an index specifying process with a large degree of divergence (step S2-2). Specifically, the evaluation unit 212 of the control unit 21 specifies the organization code and index item of the evaluation result data 260 in which the degree of deviation larger than the reference value is recorded for the receipt in the evaluation information storage unit 26. Here, the evaluation unit 212 specifies a receipt item related to the specified index item.

  Next, the control unit 21 of the health management support server 20 executes a health guidance candidate specifying process focusing on the receipt item (step S2-3). Specifically, the evaluation unit 212 of the control unit 21 specifies the injury / illness name associated with the identified receipt item in the injury / illness table 222. Then, the evaluation unit 212 extracts the health guidance data associated with the specified injury / illness name as a health guidance candidate from the health guidance table 223 recorded in the basic information storage unit 22.

(Evaluation process for health checkup results)
Next, the medical examination result evaluation process will be described with reference to FIG. In this process, a process for extracting items with a large degree of deviation in the medical examination result data 240 as candidates for health guidance is executed.

  Here, first, in the whole (upper hierarchy to lower hierarchy), processing target hierarchies for performing the medical examination result evaluation process are sequentially specified. And about the process object hierarchy, the parameter | index regarding a medical examination result is specified sequentially as an evaluation object parameter | index, and the following processes are repeated.

First, the control unit 21 of the health management support server 20 executes a process for calculating a divergence degree with respect to a statistical value (step S3-1). Specifically, the evaluation unit 212 of the control unit 21 specifies another layer related to the processing target layer. As another hierarchy, for example, the upper hierarchy of the process target hierarchy or the entire hierarchy (national) is used. Then, the evaluation unit 212 records the evaluation target date in the year / month data area, and acquires from the evaluation information storage unit 26 the index value (statistical value) of the evaluation target index related to the medical examination in another hierarchy. . Then, the evaluation unit 212 calculates the degree of divergence of the index value of the processing target hierarchy with respect to the index value in the other hierarchy. Then, the evaluation unit 212 records, in the evaluation information storage unit 26, the degree of divergence of the evaluation index regarding the medical examination result in association with the organization code and the index item.
The above processing is repeated for all indexes and all layers.

  Next, the control unit 21 of the health management support server 20 executes an index specifying process with a large degree of divergence (step S3-2). Specifically, the evaluation unit 212 of the control unit 21 specifies the organization code and index item of the evaluation result data 260 in which the degree of deviation larger than the reference value is recorded for the medical examination result in the evaluation information storage unit 26. To do. Here, the evaluation unit 212 specifies a medical examination item related to the specified index item.

  Next, the control unit 21 of the health management support server 20 executes a health guidance candidate identification process focusing on the medical examination items (step S3-3). Specifically, the evaluation unit 212 of the control unit 21 specifies the injury / illness name associated with the specified medical examination item in the injury / illness table 222. And the evaluation part 212 extracts the health guidance content linked | related with the specified injury / illness name from the health guidance table 223 recorded on the basic information storage part 22 as a health guidance candidate.

(Evaluation process by matching the reception and the medical examination result)
Next, with reference to FIG. 5A and FIG. 7, an evaluation process based on a match between a receipt and a medical examination result will be described. Here, the receipt and the medical examination result are collated to predict the future of medical expenses, and the target of health guidance is specified. Specifically, the evaluation is performed based on the classification of the medical examination result and the classification of the related medical care in the reception.

Here, the evaluation target years are sequentially specified, and the following processing is repeated.
First, the control unit 21 of the health management support server 20 executes a medical examination result classification process (step S4-1). Specifically, the evaluation unit 212 of the control unit 21 extracts the medical examination result data of the evaluation target year recorded in the medical examination result data storage unit 24. And the evaluation part 212 extracts medical examination result data according to the classification | category of the medical examination result based on the predetermined specific rule.
As shown in FIG. 7, in the present embodiment, as the specific rule, a rule for classifying “undiagnosed”, “no problem”, “somewhat problematic”, and “problematic” in the medical examination result is used. Here, the evaluation unit 212 determines “no problem” to “problem” for each medical examination item based on the reference range to which the item value belongs.

Next, the control unit 21 of the health management support server 20 executes related medical classification processing (step S4-2). Specifically, the evaluation unit 212 of the control unit 21 extracts, from the receipt data storage unit 23, the insured person's receipt data 230 belonging to the medical examination result classification for each medical examination item. Next, the evaluation unit 212 specifies the name of the wound and the medical treatment associated with the medical examination item of the medical examination result in the medical condition table 222 recorded in the basic information storage unit 22. Then, the evaluation unit 212 searches for the receipt data 230 in which the specified related medical care (injured disease name and medical treatment content) is recorded for the insured.
Here, as shown in FIG. 7, if the receipt data 230 in which the name of the related medical injury and the medical treatment contents are recorded cannot be extracted, it is determined that “no reception (no medical treatment)”. On the other hand, when the receipt data 230 in which the name of the related medical injury and the medical treatment content is recorded is extracted, as shown in FIG.

  Next, the control unit 21 of the health management support server 20 executes a process for calculating the number of people in each category (step S4-3). Specifically, the evaluation unit 212 of the control unit 21 counts the number of each insured person for each medical examination item based on the classification of the medical examination result and the classification of related medical care.

  Next, the control unit 21 of the health management support server 20 performs a calculation process of the total medical amount of the corresponding person in each category (step S4-4). Specifically, the evaluation unit 212 of the control unit 21 receives, for each medical examination item, the receipt data 230 regarding the related medical treatment corresponding to the medical examination result (when there is medical treatment), each receipt. The medical expenses are identified based on the score recorded in the data 230. And the evaluation part 212 totals the medical expenses specified for every medical examination item, and calculates a medical total.

Next, the control unit 21 of the health management support server 20 executes a medical cost statistical value calculation process (step S4-5). Specifically, the evaluation unit 212 of the control unit 21 sums up the number of people and the total amount of medical care for each medical examination item, so that the corresponding number of people and the total amount of medical care (statistics) Value).
The above processing is repeated every year.

(Monitoring process)
Next, the monitoring process will be described with reference to FIG. This monitoring process is executed for the processing target hierarchy specified in the person-in-charge terminal 10.

Here, the evaluation target date is sequentially specified, and the following processing is repeated for the evaluation target date.
First, the control unit 21 of the health management support server 20 executes a medical institution consultation status grasping process (step S5-1). Specifically, the monitoring unit 213 of the control unit 21 extracts, from the receipt data storage unit 23, the receipt data 230 in which the evaluation target year of this fiscal year matches the year and month in the date data area. Next, the monitoring unit 213 calculates the number of insured persons and the total amount of medical care based on the extracted receipt data 230. Then, in the evaluation information storage unit 26, the monitoring unit 213 generates monitoring data 261 in which the organization code of the processing target hierarchy and the evaluation target date are recorded, and the calculated number of patients and total amount of medical care are stored in the medical institution medical examination status data area. Record.

  Next, the control unit 21 of the health management support server 20 executes a grasping process of the health checkup reception status (step S5-2). Specifically, the monitoring unit 213 of the control unit 21 extracts, from the medical examination result data storage unit 24, the medical examination result data 240 in which the evaluation target date of this year matches the year and month in the date data area. . Next, the monitoring unit 213 calculates the number of patients to be examined based on the extracted medical examination result data 240. Then, the monitoring unit 213 uses the monitoring data 261 recorded in the organization code data area and the year / month data area for the organization code of the processing target hierarchy and the evaluation target year / month, respectively, to calculate the number of medical examinations that are calculated. To record.

  Next, the control unit 21 of the health management support server 20 executes a process for acquiring the status of the previous year (step S5-3). Specifically, the monitoring unit 213 of the control unit 21 extracts the monitoring data 261 in which the evaluation target year of the previous year is recorded in the year / month data area from the evaluation information storage unit 26, and the medical data of the previous year is extracted. Acquire the status of medical checkups and health checkups.

Next, the control unit 21 of the health management support server 20 executes comparison information generation processing between the previous year and the current year (step S5-4). Specifically, the monitoring unit 213 of the control unit 21 uses the values included in the medical institution visit status this year (the number of medical examinees and the total amount of medical care) as the values included in the medical institution visit status in the previous year (the number of medical examinees By dividing each by (total amount), the previous year comparison data is generated. Furthermore, the monitoring unit 213 generates the comparison data for the previous year by dividing the value (number of patients) included in the current health checkup status by the value (number of patients) included in the previous year's health checkup status. To do. Then, the monitoring unit 213 records the previous year data area of the monitoring data 261 in the evaluation information storage unit 26.
The above processing is repeated every month.

(First future prediction process)
Next, the first future prediction process will be described with reference to FIGS. Here, the future prediction is performed using a general relation about the wounds and diseases corresponding to the medical examination results. This first future prediction process is executed for the processing target hierarchy specified in the person-in-charge terminal 10.

  First, the control unit 21 of the health management support server 20 executes a medical examination result data specifying process (step S6-1). Specifically, the future prediction unit 214 of the control unit 21 extracts the medical examination result data 240 from the medical examination result data storage unit 24 for the insured belonging to the processing target hierarchy. Then, the future prediction unit 214 specifies the medical examination result data 240 in which “somewhat problematic” and “problematic” are recorded in the medical examination result.

  Next, the control unit 21 of the health management support server 20 executes a process for predicting the possibility of occurrence of medical expenses (step S6-2). Specifically, the future prediction unit 214 of the control unit 21 indicates the injury and illness corresponding to the medical examination item for the medical examination result data 240 of “somewhat problematic” and “problematic” in the medical examination result as a basic information storage unit. 22 is specified in the injury and illness table 222 recorded in 22. Next, the future prediction unit 214 acquires the insured person's receipt data 230 recorded in the medical examination result data 240 specifying the injury or illness from the receipt data storage unit 23. Then, the future prediction unit 214 confirms the presence or absence of the receipt data 230 in which the specified injury or illness, the injury or illness name corresponding to the injury or illness, and the medical treatment contents are recorded. Here, the future prediction unit 214 predicts that there is a possibility that new medical expenses may be generated for the insured person for whom the receipt data 230 is not recorded.

  Next, the control unit 21 of the health management support server 20 executes a future medical cost prediction process (step S6-3). Specifically, the future prediction unit 214 of the control unit 21 totals the medical expenses based on the points recorded in the receipt data 230 in the evaluation target hierarchy. Further, the future prediction unit 214 acquires from the medical examination result data storage unit 24 the medical examination result data 240 of the insured who has been determined that there is a possibility of newly incurring medical expenses. Then, the future prediction unit 214 acquires the medical expenses from the injury / illness table 222 recorded in the basic information storage unit 22 for the item values included in the medical examination result data 240. Then, the future prediction unit 214 calculates the future medical expenses by summing up the medical expenses acquired for each insured.

  As shown in FIG. 7, by the above processing, the future medical expenses for “with receipt (with medical care)” and the medical examination results “with some problems” and “problems” with “without reception (no medical treatment)” Medical expenses for “Yes” are identified as future medical expenses.

  Next, the control unit 21 of the health management support server 20 executes a health guidance candidate specifying process according to the prediction (step S6-4). Specifically, the future prediction unit 214 of the control unit 21 basically calculates the cost necessary for health guidance (health guidance cost) for the medical expenses that are incurred and the medical expenses that may occur in the future. Obtained from the health guidance table 223 recorded in the information storage unit 22. Then, the future prediction unit 214 compares the future medical expenses with the health guidance expenses for each sickness and illness. Then, the future prediction unit 214 identifies health guidance with a health guidance cost lower than the future medical cost as a health guidance candidate.

(Second future prediction process)
Next, the second future prediction process will be described with reference to FIG. Here, the future prediction peculiar to the organization is performed by evaluating the relationship between the medical examination result peculiar to each hierarchy and the receipt. The second future prediction process is executed for the processing target hierarchy specified in the first future prediction process.

  First, the control unit 21 of the health management support server 20 executes a process of specifying a correlated medical examination item and a receipt item (step S7-1). Specifically, the future prediction unit 214 of the control unit 21 uses the wound information table 222 recorded in the basic information storage unit 22 to identify the medical examination item, the name of the disease, and the medical treatment content that are associated with each other. Then, it is extracted as a combination of a medical examination item and a receipt item having a correlation.

  Next, the control unit 21 of the health management support server 20 executes a process for calculating the correlation between the medical examination item and the receipt item (step S7-2). Specifically, the future prediction unit 214 of the control unit 21 determines the score of the reception data 230 recorded in the reception data storage unit 23 and the medical examination result data for the combination of the medical examination item and the reception item having a correlation. The item values of the medical examination result data 240 recorded in the storage unit 24 are acquired. Then, the future prediction unit 214 calculates a correlation coefficient between the score of the receipt data 230 and the item value of the medical examination result data 240.

  Next, the control unit 21 of the health management support server 20 executes a process for identifying a medical examination item with high correlation (step S7-3). Specifically, the future prediction unit 214 of the control unit 21 specifies a combination of medical examination items in which the calculated correlation coefficient is higher than a predetermined reference value.

  Next, the control unit 21 of the health management support server 20 executes a future medical cost prediction process (step S7-4). Specifically, the future prediction unit 214 of the control unit 21 uses the injury / illness table 222 to identify an injury / illness that is likely to occur in the future from this medical examination item. Next, the future prediction unit 214 uses the injury / illness table 222 to calculate the medical expenses caused by the specified injury / illness, and calculates the total medical total for all the insured persons. Then, the future prediction unit 214 calculates the medical cost based on the score of the receipt data 230, and calculates the future medical cost by subtracting it from the total medical cost.

  Next, the control unit 21 of the health management support server 20 executes a health guidance candidate specifying process according to the prediction (step S7-5). Specifically, as in step S6-4, the future prediction unit 214 of the control unit 21 extracts the health guidance corresponding to the specified injury or illness from the health guidance data storage unit and stores it in the memory as a health guidance candidate. .

(Health guidance support processing)
Next, health guidance support processing will be described with reference to FIG. This health guidance support process is executed for the processing target hierarchy specified in the person-in-charge terminal 10.

Here, the following processing is repeated for each insured who has given health guidance.
First, the control unit 21 of the health management support server 20 executes data acquisition processing before and after health guidance (step S8-1). Specifically, the health guidance support unit 215 of the control unit 21 identifies the name of the injury and the medical examination item of the target disease for health guidance. Then, the health guidance support unit 215 obtains the latest receipt data 230 and the health examination result data 240 in which the name of the target injury and the health examination item are recorded before the health guidance time, respectively, as a receipt data storage unit 23, Obtained from the medical examination result data storage unit 24. Further, the health guidance support unit 215 acquires the latest receipt data 230 and medical examination result data 240 after the health guidance period from the receipt data storage unit 23 and the medical examination result data storage unit 24, respectively.

Next, the control unit 21 of the health management support server 20 executes a process for determining whether or not the health guidance is effective (step S8-2). Specifically, the health guidance support unit 215 of the control unit 21 compares the wound name and score recorded in the receipt data 230 before and after the health guidance, the health examination items and item values recorded in the health examination result data 240, respectively. By doing so, it is determined whether or not there is an improvement in health condition and an improvement in the contents of the receipt.
The above process is repeated for all insured persons who have given health guidance.

  Next, the control unit 21 of the health management support server 20 executes a health guidance effect calculation process (step S8-3). Specifically, the health guidance support unit 215 of the control unit 21 calculates the number of insured persons whose medical examination results and receipt contents have been improved for this processing target hierarchy.

  Next, the control unit 21 of the health management support server 20 executes a determination process as to whether or not there is an effect of health guidance in the organization (step S8-4). Specifically, the health guidance support unit 215 of the control unit 21 evaluates the effect of health guidance based on the number of insured persons who have improved. Here, when the number of people who have improved is larger than the reference number, it is determined that there is an effect of health guidance.

  When it is determined that the health guidance is effective in the organization (in the case of “YES” in step S8-4), the control unit 21 of the health management support server 20 executes an output process of advice for promoting guidance (step S8). -5). Specifically, the health guidance support unit 215 of the control unit 21 outputs a message for continuing the current health guidance to the person-in-charge terminal 10.

  On the other hand, when it is determined that the health guidance is not effective for the organization (in the case of “NO” in step S8-4), the control unit 21 of the health management support server 20 executes an advice output process for prompting the change of the guidance method (Step S8-6). Specifically, the health guidance support unit 215 of the control unit 21 specifies another health guidance from the health guidance table 223 recorded in the basic information storage unit 22. And it outputs to the person in charge terminal 10 as a health guidance candidate.

According to this embodiment, the following effects can be obtained.
(1) In the present embodiment, the control unit 21 of the health management support server 20 executes a process for removing abnormal values (step S1-1) and a statistical index calculation process (step S1-2). Thereby, various indexes about the receipt data and the medical examination result data can be output, and the health condition can be grasped.

  (2) In the present embodiment, the control unit 21 of the health management support server 20 calculates the divergence degree with respect to the statistical value (step S2-1), specifies the index with a large divergence degree (step S2-2), A health guidance candidate specifying process (step S2-3) focusing on the receipt item is executed. Thereby, in the receipt data, it is possible to give health guidance in consideration of a situation where the degree of divergence is large and is different from usual (for example, an organization-specific situation).

  (3) In the present embodiment, the control unit 21 of the health management support server 20 calculates the divergence degree with respect to the statistical value (step S3-1), specifies the index with a large divergence degree (step S3-2), A health guidance candidate identification process (step S3-3) focusing on the medical examination items is executed. Thereby, in the medical examination result data, health guidance can be performed in consideration of a situation in which the degree of divergence is large and is different from normal (for example, an organization-specific situation or the like).

  (4) In the present embodiment, the control unit 21 of the health management support server 20 performs a medical examination result classification process (step S4-1), a related medical classification process (step S4-2), and the number of people corresponding to each classification. Calculation processing (step S4-3), and the calculation processing (step S4-4) of the total amount of medical treatment of the corresponding person of each classification. And the control part 21 of the health management assistance server 20 performs the calculation process of the statistical value of medical expenses (step S4-5). Thereby, according to the classification | category of the receipt data 230 and the medical examination result data 240, the medical expenses which may generate | occur | produce in the future can be estimated.

  (5) In the present embodiment, the control unit 21 of the health management support server 20 performs the grasping process of the medical institution visit status (step S5-1), the grasp process of the medical checkup status (step S5-2), and the previous year. The status acquisition process (step S5-3) is executed. And the control part 21 of the health management assistance server 20 performs the production | generation process of the comparison information of the previous year and this year (step S5-4). Thereby, based on the receipt data 230 and the medical examination result data 240, the change state of the health condition can be grasped.

  (6) In the present embodiment, the control unit 21 of the health management support server 20 performs a medical examination result data identification process (step S6-1), a medical cost generation possibility prediction process (step S6-2), Future medical cost prediction processing (step S6-3), and health guidance candidate identification processing is executed according to the prediction (step S6-4). Thereby, the health guidance which suppresses the medical cost which may generate | occur | produce in the future using the receipt data 230 and the medical examination result data 240 can be proposed.

  (7) In the present embodiment, the control unit 21 of the health management support server 20 specifies a correlated medical examination item and a receipt item (step S7-1), and a medical examination item having a high correlation. A specific process (step S7-3) is executed. Then, the control unit 21 of the health management support server 20 executes a future medical cost prediction process (step S7-4) and a health guidance candidate identification process (step S7-5) according to the prediction. Thereby, the health guidance which suppresses medical expenses can be proposed using the correlation of the receipt data 230 and the medical examination result data 240. For example, based on the correlation between the receipt data 230 and the medical examination result data 240, the situation unique to the tissue is grasped, and a medical condition that may occur in the future under the unique situation and the associated medical expenses are predicted. be able to.

  (8) In the present embodiment, the control unit 21 of the health management support server 20 executes data acquisition processing (step S8-1) before and after health guidance. And the control part 21 of the health management support server 20 performs the determination process (step S8-2) of the presence or absence of the effect of health guidance, and the determination process (step S8-4) about whether the health guidance is effective in an organization. Run. Thereby, appropriate health guidance can be performed according to the health guidance performance.

In addition, you may change each said embodiment as follows.
In each of the above embodiments, health maintenance and management is supported in an organization composed of a plurality of hierarchies. Here, the organization is not limited to a single company. In a corporate group that bundles multiple companies or a group of companies that belong to a health insurance association, the organization is hierarchized to support the maintenance and management of health. May be. In this case, as the organization code, a code that can specify each layer from the upper layer (such as a corporate group or a health insurance association) to the lower layer to which the insured belongs is used.

  -In each above-mentioned embodiment, control part 21 of health care support server 20 performs processing which removes an abnormal value in health guidance support processing (Step S1-1). Here, an abnormal value is removed using an average value or a standard deviation. If the abnormal value can be removed, the removing method is not limited to this.

  In the above embodiments, in the health guidance support process, the control unit 21 of the health management support server 20 performs the evaluation process (step S1-3), the monitoring process (step S1-4), and the future prediction process (step S1-5). ), Health guidance support processing (step S1-6) is executed. In the present embodiment, processing designated by the person in charge is executed in the person-in-charge terminal 10. Execution conditions for various processes are not limited to instructions from the person in charge. For example, all the processes may be executed periodically.

  In each of the above embodiments, in the evaluation process based on the match between the receipt and the medical examination result, the control unit 21 of the health management support server 20 executes the medical examination result classification process (step S4-1). The control unit 21 of the health management support server 20 executes related medical classification processing (step S4-2). The medical examination results and related medical classification methods are not limited to the classification shown in FIG. For example, it is also possible to classify according to the medical treatment contents, points, and injury / illness name included in the receipt data 230.

  In each of the above embodiments, the first future prediction process is executed for each medical examination item included in the medical examination result data. The target of the first future prediction process does not have to be all medical examination result data, and may be medical examination result data belonging to a specific group. For example, in the evaluation process (step S1-3), for a medical examination item for an index having a large degree of deviation from a statistical value, an injury or illness that may develop is predicted, and the future medical expenses due to this onset are predicted. The health guidance candidate may be specified. Also, based on the receipt items for indicators with a large degree of deviation from the statistical values, predict the possibility of injury and disease, and identify health guidance candidates according to the prediction of future medical expenses due to this onset. Also good.

  In each of the above embodiments, in the monitoring process, the control unit 21 of the health management support server 20 executes a medical institution consultation status grasping process (step S5-1). Here, based on the extracted receipt data 230, the number of persons to be insured and the total amount of medical care are calculated. In addition, the control unit 21 of the health management support server 20 executes a grasping process of the medical examination reception status (Step S5-2). Here, the number of medical checkups is calculated based on the extracted medical checkup result data 240. Here, the contents for grasping the medical institution medical checkup status and the health checkup medical checkup status are not limited to the number of medical checkups and the total amount of medical care. For example, the number of medical examinations for each injury and disease name, the number of medical examinations, the total amount of medical care, and the number of medical examination items whose number is greater than or equal to a predetermined value may be calculated.

  In addition, the control unit 21 of the health management support server 20 executes comparison information generation processing between the previous year and the current year (step S5-4). As long as the evaluation results can be compared at each predetermined evaluation time, the period to be compared is not limited to the previous year (one year). For example, it is possible to generate comparative data for every six months or multiple years.

  DESCRIPTION OF SYMBOLS 10 ... Person in charge terminal, 20 ... Health management support server, 21 ... Control part, 211 ... Management part, 212 ... Evaluation part, 213 ... Monitoring part, 214 ... Future prediction part, 215 ... Health guidance support part, 22 ... Basic information Storage unit, 23 ... Receipt data storage unit, 24 ... Medical examination result data storage unit, 25 ... Health guidance status storage unit, 26 ... Evaluation information storage unit.

(1) A health management support system, a health management support method, and a health management support program for solving the above-mentioned problems, in which the insured person's receipt data is recorded for each hierarchy from the upper hierarchy to the lower hierarchy And a medical examination result data storage unit that records the medical examination data of the insured person, and a statistical index value and a medical cost statistical value for each hierarchy and evaluation period of the affiliated organization. It comprises a recorded evaluation information storage unit and a control unit that supports health management of each affiliation, and the control unit sequentially identifies processing target hierarchies in the insured's belonging organization, and for each processing target hierarchy The index value of the statistical index is calculated and recorded in the evaluation information storage unit using the receipt data acquired from the receipt data storage unit and the medical examination data acquired from the medical examination result data storage unit In the processing target hierarchy, every evaluation period, the medical examination data recorded in the medical examination result data storage unit, and classifies the medical examination results based on certain rules, insured belonging checkup result to the classification For a person, using the receipt data recorded in the receipt data storage unit, the related medical treatment corresponding to the medical examination result is specified, the statistical value of the medical cost of the related medical treatment is calculated, and is associated with the processing target hierarchy The monitoring process recorded in the evaluation information storage unit is executed, the evaluation results for each evaluation period in the monitoring process are compared, and for health guidance corresponding to the index value recorded in the evaluation information storage unit, Output the comparison result. Thereby, medical expenses can be evaluated using the insured person's receipt data and health check data.

Claims (9)

A receipt data storage unit that records the insured's receipt data for each level of the organization to which it belongs;
A medical examination result data storage unit that records the medical examination data of the insured; and
A health management support system including a control unit that supports health management of each affiliation,
The control unit is
For each evaluation period,
For health check data recorded in the checkup result data storage unit, classify the checkup results based on specific rules,
For the insured of the medical examination result belonging to the classification, by using the receipt data recorded in the receipt data storage unit, specify the related medical care corresponding to the medical examination result,
Executing a monitoring process for calculating a statistical value of the medical cost of the related medical care,
A health management support system that compares evaluation results for each evaluation period in the monitoring process and outputs the comparison results. Corresponding to the medical examination result, it has a wound information storage unit that records medical expenses information of the wound that may develop,
The health management support system according to claim 1, wherein the medical cost information of the wound corresponding to the medical examination result is specified using the wound information storage unit, and a future medical cost for the wound is predicted. . Corresponding to the health checkup items included in the health checkup results, it has a health guidance information storage unit that records health guidance information to prevent possible injury and illness,
The health management support system according to claim 1 or 2, wherein health guidance information corresponding to the health check result is output using the health guidance information storage unit. In the health guidance information storage unit, health guidance information for preventing the onset and expansion of wounds and diseases is recorded corresponding to the receipt items included in the receipt data,
Calculating an evaluation index for a receipt item included in the receipt data;
Identify a receipt item included in the receipt data having a large degree of deviation between the evaluation index and a reference value,
The health management support system according to claim 3, wherein health guidance information corresponding to the receipt item is output using the health guidance information storage unit. Calculating an evaluation index for health check items included in the health check data;
Based on the insured's receipt data of the medical checkup data with a large degree of divergence between the evaluation index and the reference value, specify the medical status of related medical care,
Based on the medical situation, predict future medical expenses,
The health management support system according to claim 3 or 4, wherein health guidance information is output based on the medical cost using the health guidance information storage unit. Calculating a correlation between a statistical index of a medical examination item included in the medical examination data and a statistical index of a reception item included in the receipt data;
Identify medical checkup items with a correlation higher than the predetermined reference value,
The health management support system according to any one of claims 3 to 5, wherein health guidance information is output based on the medical cost using the health guidance information storage unit. Obtain the results of health guidance given to the insured belonging to the hierarchy,
Obtain at least one of receipt data before and after the health guidance, or medical examination result data,
Based on at least one of the comparison between the receipt data before the health guidance and the receipt data after the health guidance, or the comparison between the health examination result data before the health guidance and the health examination result data after the health guidance, The health management support system according to any one of claims 1 to 6, wherein information on the effectiveness of health guidance is generated. A receipt data storage unit that records the insured's receipt data for each level of the organization to which it belongs;
A medical examination result data storage unit that records the medical examination data of the insured; and
A method for supporting health management using a health management support system including a control unit for supporting health management of each affiliation,
The control unit is
For each evaluation period,
For health check data recorded in the checkup result data storage unit, classify the checkup results based on specific rules,
For the insured of the medical examination result belonging to the classification, by using the receipt data recorded in the receipt data storage unit, specify the related medical care corresponding to the medical examination result,
Executing a monitoring process for calculating a statistical value of the medical cost of the related medical care,
A health management support method characterized by comparing evaluation results for each evaluation period in the monitoring process and outputting the comparison results. A receipt data storage unit that records the insured's receipt data for each level of the organization to which it belongs;
A medical examination result data storage unit that records the medical examination data of the insured; and
A program for supporting health management using a health management support system including a control unit for supporting health management of each affiliation,
The control unit
For each evaluation period,
For health check data recorded in the checkup result data storage unit, classify the checkup results based on specific rules,
For the insured of the medical examination result belonging to the classification, by using the receipt data recorded in the receipt data storage unit, specify the related medical care corresponding to the medical examination result,
Executing a monitoring process for calculating a statistical value of the medical cost of the related medical care,
A health management support program that functions as means for comparing evaluation results for each evaluation period in the monitoring process and outputting the comparison results.

Images