JP5361303B2 - Health management support system - Google Patents

Description

  The present invention relates to a technology for supporting health management, and in particular, displays a health guidance screen created for each examination item of a health examination on a display unit, and enables health guidance according to the health guidance screen. It relates to a health management support system.

  In recent years, regular health checkups have been conducted for employees enrolled in companies and public institutions, and health guidance related to disease prevention and treatment has been implemented based on the results of the checkups. Management support is provided.

  Conventionally, the health management support technologies listed below have been proposed so that appropriate health guidance can be provided for each medical checkup recipient.

  (1) Health management support technology that creates health guidance contents based on the health status of the medical checkup recipient shown in the inquiry result (see, for example, Patent Document 1).

  (2) Health management support for creating health guidance contents and health guidance schedules for health check-up participants based on behavioral science based on the level of awareness of lifestyle-related behavioral habits and improvement of lifestyle habits shown in the results of the interview Technology (see, for example, Patent Document 2).

Conventional health management support technology is effective in facilitating work for preparing health guidance contents related to each examination item of a health checkup. In addition, an explanation screen (hereinafter referred to as a health guidance screen) of the created health guidance content is displayed on the display unit, and health guidance according to the explanation screen is possible.
Japanese Unexamined Patent Publication No. 2006-11494 JP 2002-358372 A

  In general, since health guidance is carried out within a limited time, it is required to improve the efficiency of health guidance, that is, to speed up and enhance health guidance. In recent years, there has been a trend toward an increase in health checkups and health guidance aimed at preventing and improving various lifestyle-related diseases such as metabolic and diabetes. 2008), there is a growing demand for more efficient health guidance. Therefore, the screen for health guidance is not intended for all examination items, but select a useful screen that can provide appropriate health guidance for each medical examinee in light of the medical history etc. shown in the interview results. Is desired.

  Conventionally, the health guidance screen has been manually selected based on the experience of the insurance leader, and this selection work has been an obstacle to speeding up health guidance. On the other hand, there is a method of placing importance on speeding up health guidance and automatically displaying a health guidance screen sequentially. In this case, for example, if the health guidance screen related to the test item is selected using the degree of abnormality as an index, the disease related to the test item may have already been treated. This makes it difficult to display a health guidance screen that is meaningful for the health check-up recipient, for example, a health guidance screen related to a disease that the health check-up recipient does not recognize. It is not possible to improve the content of health guidance for examinees. Further, if the health guidance screens related to all examination items are sequentially displayed, the health guidance relating to each examination item can be shortened, and the quality of health guidance relating to each examination item can be reduced.

  The present invention has been made in view of the above circumstances, and can automatically display a screen for health guidance without accompanying deterioration in the quality of health guidance, thereby achieving both speeding up and enhancement of health guidance. The purpose is to provide a health management support system.

In order to achieve the above-described object, in the health management support system according to the present invention, the health guidance screen created for each examination item of the health examination is displayed on the display unit, and health guidance according to the health guidance screen is performed. in the health management support system that enables to calculate the difference between the measured value and the reference value for each test item as shown in checkup data showing the test items and test results, normal for each test item on the basis of this difference / Based on an abnormality determination unit that determines abnormality, a treatment state of a disease related to the inspection item for which the abnormality is determined, and the number of times an abnormality is suspected in a past medical examination for the inspection item for which the abnormality is determined Estimate the level of consciousness indicating the level of current attention consciousness of the health check-up examinee for each test item, and to each of the test items for which the abnormality has been determined so that the lower the level of consciousness, the higher the priority. To the description priority setting unit that assigns a description priority, the described priority setting unit by higher Description priority Priority health guidance screen according to the inspection item is assigned to the causes display on the display unit display control unit And.

  According to the present invention, it is possible to provide health guidance according to the level of consciousness of the health check-up examinee, and automatically display the screen for health guidance without accompanying qualitative deterioration of health guidance, thereby speeding up health guidance. It is possible to achieve both improvement and enhancement.

  An embodiment of a health management support system according to the present invention will be described with reference to the accompanying drawings.

[First embodiment]
FIG. 1 is a diagram showing a first embodiment of a health management support system according to the present invention, where (a) is a system configuration diagram and (b) is a functional block diagram.

  The health management support system 1 of the present embodiment displays a health guidance screen created for each examination item of the health check on the display unit, and enables health guidance according to the health guidance screen. It is. As shown in FIG. 1A, the health management support system 1 is constituted by a client / server system including a server 2 and a plurality of client terminals 3 connected to the server 2 via a network.

  As shown in FIG. 1B, the health management support system 1 includes an input unit 101, a display unit 102, a medical examination database 103, an abnormality determination unit 104, a display control unit 105, and an explanation priority setting unit. 106. The medical examination database 103, the abnormality determination unit 104, and the display control unit 105 are allocated to the server 2, and the display unit 102 and the input unit 101 are allocated to the client terminal 3.

[Input section]
The input unit 101 of the health management support system 1 inputs each data selected by the operator of the health management support system 1 to the medical examination database 103 and the display control unit 105. The input unit 101 is configured using an input support means (not shown) such as a pointing device or a keyboard provided in each client terminal 3.

[Display section]
The display unit 102 of the health management support system 1 displays information necessary for the health management of the health check-up recipient, such as a test result acquired in the health check. The display unit 102 is configured using a PC display provided in each client terminal.

[Checkup database]
The health examination database 103 of the health management support system 1 records health management data such as “identification data”, “health examination data”, and “question data” of the health examination recipient. The medical examination database 103 is configured by using a large capacity recording device (not shown) such as a hard disk or an MO disk provided in the server 2. Further, the medical examination database 103 is connected to various diagnostic apparatuses 4 such as an X-ray diagnostic apparatus and an ultrasonic diagnostic apparatus used in the medical examination, and a measurement value for each examination item is input to the medical examination database 103.

  The “identification data” includes items related to personal information such as a health checkup recipient ID, the name, address, sex, age, interview date, and health checkup ID of the health checkup recipient.

  The “checkup data” is set in consideration of the effectiveness and convenience of health management, and is recorded in the checkup database 103 in association with the identification data of the checkup recipient.

  FIG. 2 is an explanatory diagram (exemplary) of the medical examination data recorded in the medical examination database.

  The medical examination data is, for example, “ID” of the examination item, “examination item” performed in the medical examination, “difference from the reference value” of the measurement value, and “suspected” extracted from the measurement value of each examination item. It consists of “disease” and “determination” indicating a coping policy according to the difference from the reference value. The “difference from the reference value”, “suspected disease”, and “determination” of the medical examination data are set by the abnormality determination unit 104 of the health management support system 1.

  In the medical examination data, a difference from the reference value, a suspicious disease, and a determination are set for each examination item. The medical examination data illustrated in FIG. 2 has information that a suspicion of liver damage is recognized from the state of GOT / GPT (test item ID = 6) and that treatment for this liver damage is necessary.

  “Interrogation data” relates to the medical history of the medical checkup subject and the past history of the treatment status, and is set in consideration of the possibility of grasping the disease and the treatment status. This inquiry data is recorded in the medical examination database 103 in association with the identification data of the medical examinee.

  FIG. 3 is an explanatory diagram (example) of the inquiry data recorded in the medical examination database 103.

  The inquiry data includes, for example, a “disease” that the medical checkup examiner has suffered so far, and a current “treatment state” of the disease. The “treatment state” of the inquiry data is based on the answer of the medical examinee and is set by the operator flagging the corresponding check column 201 via the input unit 101. The inquiry data illustrated in FIG. 3 holds information that the medical checkup subject is being treated for hypertension by medication or the like and the liver disorder has not been treated.

[Abnormality judgment unit]
The abnormality determination unit 104 calculates the difference between the measurement value and the reference value for each inspection item indicated in the medical examination data recorded in the medical examination database 103, and determines normality / abnormality of each inspection item based on this difference. To do.

First, the abnormality determination unit 104 refers to the identification data recorded in the medical examination database 103 to acquire the age and sex of the medical examinee. Next, referring to the medical examination database 103, the medical examination data corresponding to the age and sex of the medical examination recipient is specified, and the difference between the test result of each examination item recorded in the medical examination data and the reference value is calculated. To do. Each time the difference between the calculated test result and the reference value exceeds a predetermined threshold value, the abnormality determination unit 104 displays “Normal” in the item “Difference from reference value” of the medical examination data, as shown in FIG. (No abnormality), “H (slightly high)”, “HH (high)”, “HHH (very high)”, or “L (slightly low)”, “LL (low)”, “LLL ( Very low) ". Further, in the “disease” item of the medical examination data, a disease name suspected from a difference from the reference value of the test result, for example, “hypertension”, “liver disorder”, or the like is recorded. Further, in the “judgment” item of the medical examination data, the disease coping policy, “follow-up observation”, “treatment required”, etc. are recorded according to the difference between the test result and the reference value.

[Explanation priority setting section]
The explanation priority setting unit 106 assigns different explanation priorities to the examination items determined to be abnormal by the abnormality determination unit 104 depending on the treatment status of “corresponding disease” shown in the inquiry data (see FIG. 3 ). Hereinafter, the “corresponding disease” refers to the same disease as the disease suspected from the examination item in which the abnormality is determined by the abnormality determination unit 104 among the diseases indicated in the inquiry data.

  FIG. 4 is a flowchart showing the flow of explanation priority setting processing executed by the explanation priority setting unit 106 of the health care support system 1. Hereinafter, each step in the explanation priority setting process will be described.

  Step S <b> 101 is a step of reading “suspected disease” with ID = 1 by referring to the medical examination data recorded in the medical examination database 103.

  Step S102 is a step of determining whether or not the suspicious disease with ID = 1 is “not applicable” (Yes / No). If it is determined that <Yes>, the process is executed in the order of step S116 → step S101. Step S116 is a step of setting ID = 2 (ID + 1).

  Step S103 refers to the inquiry data recorded in the medical examination database 103 and reads the corresponding disease with ID = 1.

Step S104 is a step of determining whether or not the treatment state related to the corresponding disease with ID = 1 indicated in the inquiry data is “ untreated ” (Yes / No). If it is determined as <Yes>, the process proceeds to step S109, and explanation priority = 1 is set for ID = 1 of the medical examination data.

  When the process proceeds to step S109, the process is subsequently executed in the flow of step S115 → step S116 → step S101. Step S115 is a step of recording the explanation priority related to ID = 1 in the medical examination database 103 as priority data.

  Step S105 is a step executed when it is determined as <No> in step S104. This step S105 is a step of determining whether or not the treatment state related to the corresponding disease of ID = 1 indicated in the inquiry data is “not applicable” (Yes / No). If it is determined as <Yes>, the process proceeds to step S110, and after setting the explanation priority = 2, the process is executed in the flow of step S115 → step S116 → step S101.

  Step S106 is a step executed when it is determined as <No> in step S105. This step S106 is a step of determining whether or not the treatment state related to the corresponding disease of ID = 1 indicated in the inquiry data is “interruption” of the therapy (Yes / No). If it is determined as <Yes>, the process proceeds to step S111, and after setting description priority = 3, the process is executed in the flow of step S115 → step S116 → step S101.

  Step S107 is a step that is executed when <No> is determined in step S106. This step S107 is a step of determining whether or not the treatment state related to the corresponding disease with ID = 1 indicated in the inquiry data is “following observation” (Yes / No). If it is determined that <Yes>, the process proceeds to step S112, and the explanation priority is set to 4. Then, the process is executed in the flow of step S115 → step S116 → step S101.

  Step S108 is a step that is executed when <No> is determined in step S107. This step S108 is a step of determining whether or not the treatment state related to the corresponding disease of ID = 1 indicated in the inquiry data is “being treated” (Yes / No). If it is determined as <Yes>, the process proceeds to step S113, the explanation priority = 5 is set, and then the process is executed in the flow of step S115 → step S116 → step S101. If <No> is determined in step S108, the process proceeds to step S114 to set explanation priority = 6, and then the process is executed in the order of step S115 → step S116 → step S101.

  The priority data has an arrangement as shown in FIG. 5 and is recorded in the medical examination database 103. The smaller the value, the higher the priority is defined. 5 is priority data according to the example shown in the medical examination data shown in FIG. 2 and the inquiry data shown in FIG. 3. The priority is ID = 6 (examination item “GOT / GPT”), and then ID = 5 (examination item “blood glucose”), ID = 1 (examination item “blood pressure”).

  Here, in the explanation priority setting process, instead of the explanation priority setting process, a priority table having the arrangement shown in FIG. It is also possible to read the “treatment status” from the interview data recorded in the table and obtain the corresponding explanation priority from this priority table.

(Display control unit)
The display control unit 105 displays the basic screen and the health guidance screen related to the examination items on the display unit 102. The display control unit 105 displays the health guidance screen by a different method depending on two display modes including a normal mode and an explanation mode.

  FIG. 7 is a diagram showing a basic screen displayed by the display control unit 105. This basic screen displays the test results obtained in the past several health examinations and the difference from the reference value. The symbol “H” in the basic screen is a level of the test result from the reference value, and is set based on the “difference from the reference value” of the medical examination data recorded by the abnormality determination unit 104.

  In the normal mode, a screen for health guidance related to the examination item selected by the operator is displayed. For example, when the operator clicks the item “BMI index 202” with a pointing device or the like on the basic screen shown in FIG. 7, the display control unit 105 displays a health guidance screen related to the BMI index. FIG. 8 is a diagram showing a health guidance screen related to the BMI index displayed by the display control unit 105.

  The explanation mode is effective when the operator clicks the icon “description mode 203” on the basic screen with a pointing device or the like. When the explanation mode is enabled, the display control unit 105 sequentially displays from the health guidance screen related to the examination item to which a high explanation priority is assigned by the explanation priority setting unit 106. That is, the display control unit 105 refers to the priority data recorded in the medical examination database 103 when the explanation mode is valid. Next, the screen for health guidance related to each ID (examination item) shown in the medical examination data is displayed in the order according to the explanation priority shown in the priority data.

  Next, the operation of the health management support system 1 will be described.

  In the health management support system 1, when the operator selects the explanation mode from the basic screen (see FIG. 7), the health related to the examination item to which a high explanation priority is assigned by the explanation priority setting unit 106 by the display control unit 105. Displayed sequentially from the instruction screen. For example, in the example of the priority data shown in FIG. 5, the explanation priority of ID = 6, that is, the inspection item “GOT / GPT” (see FIG. 2) is “1”, which is the highest explanation priority. ID = 5, that is, the explanation priority of the test item “blood glucose” is “2”, and the explanation priority is the second highest after ID = 6. The explanation priority of ID = 1, that is, the examination item “blood pressure” is “5”, and the explanation priority is the second highest after ID = 6. For ID = 2, 3, and 4, the “suspected disease” shown in the medical examination data is “no abnormality”, so the explanation priority is not recorded by the process of step S102. Therefore, on the display unit 102, each test is performed in the order of the test item “GOT / GPT (ID = 6)” → the test item “blood glucose (ID = 5)” → the test item “blood pressure (ID = 1)”. The health guidance screen related to the item is displayed.

Here, in the medical examination examinees, than the disease, which is indicated as "untreated" in the interview data of the medical examination examinees, towards the disease which is shown as "in medical treatment" in the interview data, well aware daily It is thought that there is. This is because, for example, if you are being treated, you may be aware of your medical condition by explaining the doctor's condition by going to hospital, and if you have not been treated, you usually forget about the disease. This is because it is considered to be obtained.

  In the health management support system 1, as described above, the health guidance related to the disease indicated as “untreated” in the interview data rather than the health guidance screen related to the disease indicated as “under treatment” in the interview data. The display screen is given priority. In other words, the display order of the health guidance screen is not simply set based on the difference from the reference value of the test result or the type of the suspected disease, but is set according to the level of the consciousness level of the medical examinee. . For this reason, in performing health guidance that presents test results, health guidance can be given preferentially from diseases that the health check-up examinee does not notice or is not conscious of (so to speak, the level of consciousness is low). In other words, it is possible to actively omit explanations about diseases that medical checkups are conscious about (such as high levels of consciousness), such as diseases that are already being treated. Therefore, even if there are time constraints, the level of satisfaction of health check-up recipients for health guidance can be increased.

  Note that the explanation priority shown in FIG. 5 is an exemplification, and the setting criteria for the explanation priority can be changed as necessary. FIG. 5 shows an example in which the highest explanation priority is assigned to the examination item in which abnormality is determined by the abnormality determination unit when the treatment state of the corresponding disease indicated in the inquiry data is “untreated”. The highest explanation priority may be assigned when the treatment state of the corresponding disease indicated in the data is “not applicable”.

  Next, the effect of the health management support system 1 will be described.

In the health management support system 1,
(1) A medical examination database in which medical examination data indicating examination items and examination results and consciousness level estimation data showing the level of consciousness of medical examination examinees for each examination item are provided so as to be recordable, and the medical examination data The difference between the measured value and the reference value is calculated for each inspection item shown in FIG. 5, and an abnormality determination unit 104 that determines normality / abnormality of each inspection item based on this difference, and abnormality is determined by the abnormality determination unit 104 Higher explanation priority is assigned to the examination items by the explanation priority setting unit 106 that assigns different explanation priorities according to the consciousness level of the medical checkup recipient indicated in the consciousness level estimation data, and the explanation priority setting unit 106. A display control unit 105 that displays on the display unit from a screen for health guidance related to the examination item. This makes it possible to provide health guidance according to the level of consciousness of the health check-up examinees, and can automatically and sequentially display the screen for health guidance without any deterioration in the quality of health guidance, thereby speeding up and enhancing health guidance. To achieve both.

  (2) The consciousness level estimation data is composed of interview data indicating the disease that the health check-up examinee has suffered so far and the past history of the treatment state, and among the diseases indicated in the interview data, the abnormality determination unit 104 When the same disease as the disease suspected from the test item determined to be abnormal is defined as the corresponding disease, the explanation priority setting unit 106 uses the inquiry data for the test item determined to be abnormal by the abnormality determination unit 104. Different explanation priorities are assigned depending on the treatment status of the corresponding disease shown. For this reason, it is more effective to make health guidance faster and more effective.

  (3) The explanation priority setting unit 106 determines that the treatment state of the corresponding disease indicated in the inquiry data is “untreated” for the examination item for which abnormality is determined by the abnormality determination unit 104. A higher explanation priority is assigned than in the case of “under treatment”. For this reason, it is more effective to make health guidance faster and more effective.

[Second Embodiment]
The second embodiment is an example in which the configuration of the explanation priority setting unit 106 is changed in the health management support system 1 of the first embodiment. In addition, the same structure as 1st Embodiment attaches | subjects the same code | symbol, abbreviate | omits description, The structure which changed the structure of 1st Embodiment or added newly adds "A" to the code | symbol end. explain.

  The explanation priority setting unit 106A in the health management support system 1A (see FIG. 1B) of the present embodiment is an examination item in which an abnormality is determined by the abnormality determination unit 104 and the treatment status of the corresponding disease indicated in the inquiry data is the same. In contrast, a test item with a higher severity of disease is assigned a higher explanation priority. As in the first embodiment, the “corresponding disease” refers to a disease that is the same as the disease suspected from the test item determined to be abnormal by the abnormality determination unit 104 among the diseases indicated in the inquiry data. To do.

  FIG. 9 is a flowchart showing the flow of the explanation priority setting process executed by the explanation priority setting unit 106A. Hereinafter, each step in the explanation priority setting process will be described. Note that steps S201 to S214 and S227 in FIG. 9A are the same as steps S101 to S114 and S116 in FIG.

  When the process proceeds to any of steps S209 to S214 in FIG. 9A, the process proceeds to step S215 in FIG. This step S215 is a step of reading “determination” of ID = 1 with reference to the medical examination data (see FIG. 2) recorded in the medical examination database 103.

  Step S216 is a step of determining whether or not the determination of ID = 1 indicated in the medical examination data is “need treatment” (Yes / No). If it is determined as <Yes>, the process proceeds to step S220, where “0” is added to the explanation priority set in the medical examination data ID = 1 (see steps S209 to S214) to revise the explanation priority. is there.

  When the process proceeds to step S220, the process is subsequently executed in the order of step S225 → step S226 → step S201 (see FIG. 9A). Step S225 is a step of recording the revised explanation priority relating to ID = 1 as priority data in the medical examination database. Step S226 is a step of setting ID = 2 (ID + 1).

  Step S217 is a step executed when <No> is determined in step S216. This step S217 is a step of determining whether or not the determination of ID = 1 indicated in the medical examination data is “necessary inspection” (Yes / No). If it is determined to be <Yes>, the process proceeds to step S221. After the explanation priority is revised by adding “10” to the explanation priority (see steps S209 to S214) set to ID = 1 of the medical examination data, The process is executed in the order of step S225 → step S226 → step S201 (see FIG. 9A).

  Step S218 is a step executed when <No> is determined in Step S217. This step S218 is a step of determining whether or not the determination of ID = 1 indicated in the medical examination data is “re-examination required” (Yes / No). If it is determined to be <Yes>, the process proceeds to step S222, and after adding "20" to the explanation priority (see steps S209 to S214) set to ID = 1 of the medical examination data, the explanation priority is revised. The process is executed in the order of step S225 → step S226 → step S201 (see FIG. 9A).

  Step S219 is a step executed when <No> is determined in step S218. This step S219 is a step of determining whether or not the determination of ID = 1 indicated in the medical examination data is “necessary follow-up observation” (Yes / No). If it is determined as <Yes>, the process proceeds to step S223, and after adding 30 to the explanation priority set in the medical examination data ID = 1 (see steps S209 to S214), the explanation priority is revised. The process is executed in the order of step S225 → step S226 → step S201 (see FIG. 9A). If it is determined as <No> in step S219 (in the case of the medical examination data shown in FIG. 2, it is determined that “abnormality is recognized but no concern”), the process proceeds to step S224, and the ID of the medical examination data = After the explanation priority is revised by adding “40” to the explanation priority set to 1 (see steps S209 to S214), the process is performed in the order of step S225 → step S226 → step S201 (see FIG. 9A). Execute.

  The priority data related to the explanation priority after revision in steps S220 to S224 is recorded in the medical examination database 103 having the arrangement shown in FIG. 10, and the explanation priority is defined higher as the value is smaller. FIG. 10 shows priority data according to the example shown in the medical examination data shown in FIG. 2 and the inquiry data shown in FIG. 3. The explanation priorities “2”, “21”, and “35” are the medical examination data, respectively. ID = 5 (examination item “blood glucose”), ID = 6 (examination item “GOT / GPT”), ID = 1 (examination item “blood pressure”).

  Here, in the explanation priority setting process, instead of the explanation priority setting process, a priority table having an arrangement as shown in FIG. The “treatment state” and “determination” may be read from the inquiry data and the medical examination data recorded in the database 103, and the corresponding explanation priority may be acquired from the priority table.

  Next, the operation of the health management support system 1A will be described.

  In the health management support system 1, when the operator selects the explanation mode from the basic screen (see FIG. 7), the health guidance related to the examination item to which the priority is assigned by the explanation priority setting unit 106 by the display control unit 105. The point that is sequentially displayed from the work screen is the same as in the first embodiment.

In the present embodiment, in the example of priority data shown in FIG. 10, ID = 5, that is, the explanation priority of the test item “blood glucose” is “2”, and the explanation priority is the highest. ID = 6, that is, the explanation priority of the inspection item “GOT / GPT” is “21”, and the explanation priority is the second highest after ID = 5. ID = 1, that is, the explanation priority of the test item “blood pressure” is “35”, and the explanation priority becomes higher next to ID = 6 . For ID = 2, 3, and 4, since the “determination” of the medical examination data is “no abnormality”, that is, “the suspicious disease” is “not applicable”, the explanation priority is recorded by the process of step S216. Not. Therefore, on the display unit 102, each test is performed in the order of the test item “blood glucose (ID = 5)” → the test item “GOT / GPT (ID = 6)” → the test item “blood pressure (ID = 1)”. A screen for health guidance related to the item is displayed, and the display order is different from that of the first embodiment.

  In the health management support system 1A, explanation priority is assigned by the determination of each test item (see FIG. 2) even if the “treatment state (see FIG. 3)” of the corresponding disease indicated in the inquiry data is the same. For this reason, even when the display order of the health guidance screens related to the respective examination items is set under the time constraints of the health guidance, health guidance that is more meaningful for the medical examinee can be performed. Since other operations are the same as those of the first embodiment, description thereof is omitted.

  Next, the effect of the health management support system 1A will be described.

  In the health management support system 1A, in addition to the effects (1) to (3) of the first embodiment, the following effects can be obtained.

  (4) The explanation priority setting unit 106A of the health management support system 1A assigns a higher explanation priority to an examination item having the same treatment status of the corresponding disease indicated in the inquiry data, as the examination item has a higher disease severity. . For this reason, the display order of the screens for health guidance can be set in more detail according to the health condition of the medical examinee, and both speeding up and enhancement of health guidance are more effective.

[Third embodiment]
The third embodiment is an example in which the configuration of the explanation priority setting unit 106 is changed in the health management support system 1 of the first embodiment. In addition, the same structure as 1st Embodiment attaches | subjects the same code | symbol, abbreviate | omits description, The structure which changed the structure of 1st Embodiment or added newly adds "B" to the code | symbol end. explain.

  In the health management support system 1 </ b> B (see FIG. 1) of the present embodiment, the explanation priority setting unit 106 </ b> B is the “corresponding test item” in the past health checkup for the test item determined to be abnormal by the abnormality determination unit 104. The higher the number of consecutive suspected abnormalities, the higher the explanation priority. In addition, for a test item having the same consecutive number of times that an abnormality is suspected for a corresponding test item in a past medical examination, a test item having a higher disease severity is assigned a higher explanation priority. The “corresponding inspection item” means an inspection item that is the same as the inspection item for which an abnormality has been determined by the abnormality determination unit 104 among the inspection items for the past health examination.

  FIG. 12 is a flowchart showing the flow of explanation priority setting processing executed by the explanation priority setting unit 106B. Hereinafter, each step in the explanation priority setting process will be described. Note that steps S316 to S327 in FIG. 12B are the same as steps S215 to S226 in FIG.

  Step S301 refers to the medical examination data recorded in the medical examination database 103 and reads “determination” with ID = 1.

  Step S302 is a step of determining whether or not the determination of ID = 1 indicated in the medical examination data is “no abnormality” (Yes / No). If “Yes” is determined, the process proceeds to step S302, and then the process proceeds to step S301 to read “determination” with ID = 2.

  Step S304 is a step of reading “determination” with ID = 1 referring to five years of “past medical examination data” recorded in the medical examination database 103. The past medical examination data is not limited to five years, and more or less can be set as appropriate. The “past medical examination data” may be received from a health management support system of another health management implementation organization.

  Step S305 counts the number of times that the determination relating to ID = 1 in the past five years of the medical examination data, for example, “follow-up observation” or “necessary treatment” is read, and the count number is 5 It is a step of determining whether or not the time is (Yes / No). If it is determined that <Yes>, the process proceeds to step S310 to set the explanation priority = 1, and then the process proceeds to step S316. When the process proceeds to step S316, a process according to the same flow as in FIG. 9B is performed.

  Step S306 is a step performed when <No> is determined in step S305. This step S306 is a step of counting the number of times of reading “other than abnormal” as in step S305 and determining whether or not the count number is 4 (Yes / No). If it is determined that <Yes>, the process proceeds to step S311 to set explanation priority = 2, and then the process proceeds to step S316. When the process proceeds to step S316, a process according to the same flow as in FIG. 9B is performed.

  Step S307 is a step performed when it is determined as <No> in step S306. This step S306 is a step of counting the number of times of reading “other than no abnormality” in the same manner as in step S305 and determining whether or not the counted number is 3 (Yes / No). If it is determined that <Yes>, the process proceeds to step S312 to set explanation priority = 3, and then the process proceeds to step S316. When the process proceeds to step S316, a process according to the same flow as in FIG. 9B is performed.

  Step S308 is a step performed when <No> is determined in step S307. This step S307 is a step of counting the number of times of reading “other than no abnormality” in the same manner as in step S305 and determining whether or not the counted number is 2 (Yes / No). If it is determined as <Yes>, the process proceeds to step S313 to set the explanation priority = 4, and then the process proceeds to step S316. When the process proceeds to step S316, a process according to the same flow as in FIG. 9B is performed.

  Step S309 is a step performed when <No> is determined in step S308. This step S308 is a step of counting the number of times of reading “other than no abnormality” in the same manner as in step S305 and determining whether or not the counted number is 1 (Yes / No). If it is determined as <Yes>, the process proceeds to step S314, the explanation priority = 5 is set, and then the process proceeds to step S316. When the process proceeds to step S316, a process according to the same flow as in FIG. 9B is performed. If it is determined as <No>, the process proceeds to step S314, the explanation priority = 6 is set, and then the process proceeds to step S316.

  This priority data has an arrangement as shown in FIG. 13 and is recorded in the medical examination database 103. The smaller the value, the higher the priority is defined. FIG. 13 shows priority data when it is assumed that the count number = 1 for ID = 1, the count number 3 for ID = 5, and the count number 5 for ID = 6 with respect to the medical examination data shown in FIG. . As for the priority, ID = 5 (test item “blood glucose”) is the highest, followed by ID = 6 (test item “GOT / GPT”) and ID = 1 (test item “blood pressure”).

  Here, in the explanation priority setting process, instead of the explanation priority setting process, a priority table having an arrangement as shown in FIG. The “treatment state” and “determination” may be read from the inquiry data and the medical examination data recorded in the database 103, and the corresponding explanation priority may be acquired from the priority table.

  In addition, the explanation priority may be set based on a simple count number instead of a continuous count number other than “no abnormality” in past medical examination data, or a higher level is set as the count number is smaller. May be. Each setting item is appropriately adjusted so that a useful health guidance screen can be selected for appropriate health guidance for each medical checkup recipient. For example, the explanation priority setting unit 106 </ b> B sets the count to 1 when the number of suspected abnormalities is 0 for the corresponding test item in the past health checkup for the test item for which the abnormality is determined by the abnormality determination unit 104. A higher explanation priority may be assigned than in the case of (1), and when the count number is 1 or more, a higher explanation priority may be assigned as the count number increases.

  That is, (i) For the test item for which the abnormality was determined for the first time, the level of consciousness was considered low in the medical checkup recipients, and the explanation priority was set high, and (ii) the abnormality was determined For the second test item this time, the level of consciousness was considered higher than the first test item, and the explanation priority was set lower than the first test item. However, for the test items that are the second or more times this time, based on the empirical rule that the level of consciousness will decrease over time in health check-up patients, the explanation priority will be set to be higher with the number of abnormal judgments. May be.

  Next, the operation of the health management support system 1B will be described.

  In the health management support system 1B, when the operator selects the explanation mode from the basic screen (see FIG. 7), the health guidance related to the examination item to which a high priority is assigned by the explanation priority setting unit 106B by the display control unit 105. The point that is sequentially displayed from the work screen is the same as in the first embodiment.

In the present embodiment, in the example of the priority data shown in FIG. 13, ID = 5, that is, the explanation priority of the test item “blood glucose” is “ 3 ”, which is the highest explanation priority. ID = 5, that is, the explanation priority of the inspection item “GOT / GPT” is “21”, and the explanation priority is the second highest after ID = 5. ID = 1, that is, the explanation priority of the test item “blood pressure” is “35”, and the explanation degree is next to ID = 5. For ID = 2, 3, and 4, since the “determination” of the medical examination data is “no abnormality”, that is, “the suspicious disease” is “not applicable”, the explanation priority is recorded by the process of step S216. Not. Therefore, on the display unit 102, each test is performed in the order of the test item “blood glucose (ID = 5)” → the test item “GOT / GPT (ID = 6)” → the test item “blood pressure (ID = 1)”. The explanation screen of the inspection result related to the item is displayed.

  In the health management support system 1B, even if the “determination” of the disease shown in the medical examination data (see FIG. 2) is the same, the explanation is based on the number of abnormal judgments of the corresponding test item shown in the past medical examination data. Priority is assigned. For this reason, even when the display order of the health guidance screens related to the examination items is set under the time constraints of the health guidance, health guidance that is more meaningful for the medical examinee can be performed.

  Next, the effect of the health management support system 1B will be described.

In the health management support system 1B, in addition to the effects (1) to (3) of the first embodiment, the following effects can be obtained. In the health management support system 1B,
(5) The explanation priority setting unit 106B has a higher explanation priority as the number of suspected abnormalities or consecutive times of the corresponding test items in the past health checkup increases with respect to the examination items determined to be abnormal by the abnormality determination unit 104 Assign a degree. In general, medical institutions and medical examination institutions often record medical records and medical examination results for the past five years or more. For this reason, it is possible to achieve both speeding up and enhancement of health guidance without conducting an inquiry to the medical examinee.

  (6) The explanation priority setting unit 106B has a higher explanation priority for a test item with a higher severity of disease for a test item with a suspected abnormality or a continuous number of times for a corresponding test item in a past medical examination. Assign. For this reason, the display order of the screens for health guidance can be set in more detail according to the health condition of the medical examinee, and both speeding up and enhancement of health guidance are more effective.

  As described above, the health management support system according to the present invention has been described based on the first to third embodiments, but the specific configuration is not limited to these embodiments, and the gist of the present invention is described. Unless it deviates, design changes and additions are allowed.

  For example, in the present embodiment, an example is shown in which the screen is limited to the screen for health guidance related to an abnormal examination item in the explanation mode, but the examination item in which “no abnormality” is indicated in the determination of the medical examination data May also be displayed. In this case, the explanation priority setting unit speeds up the health guidance by assigning a lower explanation priority than any of the examination items for which the abnormality is determined to the examination items for which the abnormality is not determined by the abnormality determination unit. And the effect of coexistence and enhancement will not be impaired.

In addition, a related examination item table showing the examination items related to each other is recorded in advance in the medical examination database, and when the health guidance screen related to the examination item for which an abnormality is determined is displayed, the related examination item table is associated with the related examination item table. An inspection item may be acquired, and an information screen indicating whether or not the related inspection item is normal may be displayed. In this case, the relevant inspection item of abnormalities are observed test items can be classified according to the "Category" as shown in FIG. 15. In this way, it is possible to immediately check whether there is an abnormality in the inspection item related to the inspection item in which the abnormality is determined.

In this embodiment, the `` treatment state '' of the past disease shown in the inquiry data, the `` determination '' shown in the medical examination data, and the count number of the abnormality judgment shown in the past medical examination data are the consciousness level estimation data, An example is shown in which explanation priority is set based on this awareness level estimation data. However, this consciousness level estimation data may be any data that reflects how much the health check-up examinee is aware of his / her own disease ( consciousness level ) .

It is a figure which shows 1st Embodiment of the health management assistance system which concerns on this invention, (a) is a system block diagram, (b) is a functional block diagram. Explanatory drawing of the medical examination data recorded on the medical examination database of 1st Embodiment. Explanatory drawing of the inquiry data recorded on the medical examination database of 1st Embodiment. The flowchart which concerns on 1st Embodiment and shows the flow of the description priority setting process performed in the description priority setting part. Explanatory drawing of the priority data recorded on the medical examination database of 1st Embodiment. Explanatory drawing of the priority table recorded on the medical examination database of 1st Embodiment. The figure which shows the basic screen displayed by the display control part of 1st Embodiment. The figure which shows the screen for health guidance regarding the BMI index | index displayed by the display control part of 1st Embodiment. It is a flowchart which shows the flow of the description priority setting process performed in the description priority setting part of 2nd Embodiment, (a) is the first half part, (b) is the second half part. Explanatory drawing of the priority data recorded on the medical examination database of 2nd Embodiment. Explanatory drawing of the priority table recorded on the medical examination database of 2nd Embodiment. It is a flowchart which shows the flow of the description priority setting process performed in the description priority setting part of 2nd Embodiment, (a) is the first half part, (b) is the second half part. Explanatory drawing of the priority data recorded on the medical examination database of 3rd Embodiment. Explanatory drawing of the priority table recorded on the medical examination database of 3rd Embodiment. The figure which shows the example of a classification | category of the inspection item relevant to each other.

Explanation of symbols

103 medical examination database 104 abnormality determination unit 105 display control unit 106 description priority setting unit

Claims (10)

In the health management support system that displays the screen for health guidance created for each examination item of the medical examination on the display unit and enables health guidance according to the screen for health guidance,
Calculating a difference between the measured value and the reference value for each test item as shown in checkup data showing the test items and test results, the abnormality determination unit for determining the normality / abnormality of the test item on the basis of this difference ,
Based on the treatment status of the disease associated with the test item for which the abnormality is determined and the number of times that the abnormality is suspected in the past health examination for the test item for which the abnormality has been determined, An explanation priority setting unit that estimates a consciousness level indicating the level of attention consciousness, assigns an explanation priority to each of the inspection items determined to be abnormal so that the priority becomes higher as the consciousness level is lower ,
A display control unit that preferentially displays a screen for health guidance related to a test item to which a high explanation priority is assigned by the explanation priority setting unit;
A health management support system characterized by comprising Among the diseases shown in the interview data that shows the history of the medical check-up recipient and the history of the treatment , the same disease that is suspected from the test item that was determined to be abnormal by the abnormality determination unit Is defined as a corresponding disease,
The explanation priority setting unit assigns explanation priorities by estimating the consciousness level according to the treatment state of the corresponding disease indicated in the inquiry data for the examination item for which abnormality is determined by the abnormality determination unit. The health management support system according to claim 1. When the treatment status of the corresponding disease indicated in the inquiry data is “untreated” for the examination item in which the abnormality is determined by the abnormality determination unit, the explanation priority setting unit is “under treatment”. The health management support system according to claim 2, wherein a higher explanation priority is assigned by estimating that the level of consciousness is lower than that in the case of. The abnormality determination unit classifies the inspection items determined to be abnormal into a plurality of categories according to the severity of the disease suspected of the abnormality of the inspection items,
3. The explanation priority setting unit assigns a higher explanation priority to a test item having a higher severity of the disease for a test item having the same treatment state of the corresponding disease indicated in the inquiry data. Alternatively, the health management support system according to claim 3. The explanation priority setting unit estimates the consciousness level in accordance with the number of times that an abnormality is suspected or the number of consecutive inspection items in the past health checkup for the inspection item for which an abnormality has been determined by the abnormality determination unit. The health management support system according to claim 1, wherein an explanation priority is assigned. The explanation priority setting unit estimates that the consciousness level is lower as the number of suspected abnormalities or the number of consecutive inspection items for the corresponding test items in the past health checkup is higher with respect to the test items determined to be abnormal by the abnormality determining unit. health management support system according to claim 5, characterized in that assigning a higher description priority to. When the number of times that the abnormality is suspected for the corresponding inspection item in the past health check is 0 for the inspection item for which the abnormality is determined by the abnormality determination unit, the explanation priority setting unit is 1 the consciousness level is estimated to be low by assigning a higher description priority, if the count is more than one to assign a higher description priority estimated that the level of consciousness the more its number is lower than The health management support system according to claim 6. The abnormality determination unit classifies the inspection items determined to be abnormal into a plurality of categories according to the severity of the disease suspected of the abnormality of the inspection items,
The explanation priority setting unit assigns a higher explanation priority to a test item with a higher severity of the disease, for a test item with the same number of times of suspected abnormality or continuous number of the corresponding test items in the past health examination. The health management support system according to claim 6.   The description priority setting unit assigns a description priority lower than any inspection item in which an abnormality is determined to an inspection item in which an abnormality is not determined by the abnormality determination unit. Health management support system.   The display control unit displays an information screen indicating whether or not the related test item of the test item is normal when displaying the health guidance screen related to the test item determined to be abnormal by the abnormality determination unit. The health management support system according to claim 1.

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