JP2008165716A - Disease management device, disease management method, and disease management program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a disease management device which early predicts the occurrence of a disease on the basis of information of environmental changes and epidemic diseases and informs people having a risk of developing the diseases, and doctors. <P>SOLUTION: The disease management device includes: an environmental factor acquisition means 001 which acquires environmental factors showing environmental changes and tendencies of epidemic diseases; a disease prediction means 002 which predicts the occurrence of a prescribed disease on the basis of the acquired environmental factors or their combinations; a target person management means 004 which prestores groups of persons to be informed, having a risk of developing the diseases, and retrieves a group corresponding to the risk of developing the disease on receipt of information of this disease predicted to occur; and a warning means 005 which informs persons in the retrieved group of a warning. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a disease management apparatus, a disease management method, and a disease management program for predicting a disease from a change in environmental conditions and a trend of epidemic disease and notifying a person or a doctor.

  In recent years, chronic diseases such as lifestyle-related diseases have increased with the aging of the population. For this reason, emphasis has been placed on curing diseases that have been affected so far, in order to enrich daily life, such as how to get along well with illnesses and disabilities and efforts to prevent illness. The emphasis is on technology. For this reason, in medical practice, there is an increasing demand for efforts that emphasize quality of life. Thus, in recent medical policies, disease management has been required to improve the quality of life and effectively use medical resources by preventing the onset or worsening of diseases. This disease management can improve the quality of medical care and quality of life by taking appropriate measures after the fact, such as prevention of diseases, prevention of deterioration of diabetes, asthma, heart disease, and management of cancer medical care. Aimed at.

  In addition, if you develop a disease, you will spend a lot of time and money to treat it. In this case, the cost and time can be saved by detecting the disease as early as possible. In addition, if it can be prevented at the stage before the onset of symptoms, it is thought that most of the time and cost can be reduced compared with the treatment. Therefore, in disease management, it is important to detect diseases and abnormalities as soon as possible and notify the person himself / herself.

  In recent years, technologies such as EHR (Electric Health Record) that collectively manage personal medical information such as life charts, daily biometric information, and information on personal drugs have been proposed. It is possible to grasp changes in health status in real time, and further, it is possible to share information and collaborate among multiple healthcare providers, such as managing patients with similar illness risks as a group. Yes.

  In this regard, early detection of illnesses and abnormalities has conventionally been performed through health checkups and periodic checkups. In addition, by detecting endotoxin derived from periodontal pathogens in body fluids of healthy individuals or healthy animals or measuring the concentration of these in patients with lifestyle-related diseases, it is possible to estimate fluctuations in the above-mentioned biochemical parameters and develop lifestyle-related diseases. A method for predicting a risk (for example, see Patent Document 1), a home medical support system (for example, see Patent Document 2) for measuring biological information of a home patient and transmitting the information to a medical institution, etc. are proposed. ing.

Japanese Patent Laid-Open No. 2005-140618 JP-A-10-52407

  However, since it is impossible to find and predict a disease unless you go to a medical checkup or a regular checkup, there is a risk of going back to your hands. In addition, when predicting an illness that may occur based on information indicating the health status of an individual, it is possible to prevent or early detect the illness of the individual who sent the biological information. Because it cannot be generalized, it is difficult to prevent or detect diseases of other people at similar risks.

  This invention was made in view of such circumstances, predicts the occurrence of an early disease based on information on environmental changes and epidemics, and provides people and doctors who are at risk for the occurrence of the disease. Its purpose is to provide disease management technology that provides notification.

  In order to achieve the above object, the disease management apparatus according to claim 1 includes an environmental factor acquisition means for acquiring an environmental factor representing a tendency of environmental change or epidemic, and the acquired environmental factor or a combination of the environmental factors. A disease prediction means for predicting the occurrence of a predetermined disease on the basis of the information, a group of notification subjects having a risk of occurrence of the disease in advance, receiving information on the disease predicted to occur, A disease management apparatus comprising: a notification target person management unit that searches for a group corresponding to a risk of occurrence of a disease; and a warning unit that notifies a warning to the notification target person included in the searched group.

  The disease management method according to claim 5, wherein a stage for storing a group of persons to be notified who have a risk of causing a disease in advance, and an environmental factor acquisition stage for acquiring an environmental factor representing an environmental change or a trend of epidemic from the outside A disease prediction stage for predicting the occurrence of a predetermined disease based on the acquired environmental factor or a combination of the environmental factors, and receiving information on the disease for which the occurrence has been predicted, and responding to the risk of the occurrence of the disease And a notification target person management stage for searching for a group to be notified, and a notification stage for receiving a warning upon receiving the searched group.

  The disease management program according to claim 6, wherein the computer stores a group of persons to be notified who have a risk of causing a disease in advance, acquires an environmental factor representing a tendency of an environmental change or an epidemic from the outside, and the acquisition The occurrence of a predetermined disease is predicted based on the environmental factor or a combination of the environmental factors, the information on the disease whose occurrence is predicted is received, the group corresponding to the risk of occurrence of the disease is searched, and the search The system is characterized in that a warning notification is executed in response to the received group.

  According to the disease management apparatus according to claim 1, the disease management method according to claim 5, and the disease management program according to claim 6, the occurrence of an early disease is predicted based on environmental factors, and the disease Notifications can be made to people and doctors who are at risk of outbreaks. As a result, it is possible to prevent a disease or to take an early action on a notification subject who has a risk of occurrence of a specific disease.

[First Embodiment]
The disease management apparatus according to the first embodiment of the present invention will be described below. FIG. 1 is a block diagram showing functions of the disease management apparatus according to the present embodiment. Each means shown in FIG. 1 is composed of a CPU and a program for defining operations.

  The environmental factor acquisition unit 001 acquires an environmental factor that causes a disease such as an environmental change or a trend of epidemic from the external system 100 via a network or from a database owned by the environmental factor acquisition unit 001. Here, the external system 100 may be public information that is disclosed by each ministry or agency, or may be a device that acquires information on the environment having a temperature sensor, a humidity sensor, and the like installed outside. In the present embodiment, a case will be described in which a temperature sensor and a humidity sensor are provided outside and information is received, and meteorological information is received from the Japan Meteorological Agency. Hereinafter, a case will be described in which the environmental factor acquisition unit 001 acquires an environmental factor that the temperature of the previous day is 10 ° C., the temperature of today is 13 degrees, the humidity is 70%, and a photochemical smog alarm is issued. However, it is assumed that the temperature of the previous day was acquired by the environmental factor acquisition unit 001 on the previous day.

  The environmental factor acquisition unit 001 sends the acquired environmental factor to the disease prediction unit 002. However, it is assumed that the environmental factor acquisition unit 001 has already sent the temperature of the previous day to the disease prediction unit 002 on the previous day.

  The disease predicting means 002 stores in advance an environmental factor and a combination condition thereof as shown in FIG. 2 and a disease occurrence prediction table 200 corresponding to the condition. Here, FIG. 2 is a diagram showing a prediction table for obtaining a disease caused by an environmental factor. In this embodiment, as shown in FIG. 2, the left column 201 describes the environmental factors and the conditions of the combination, and the right column 202 describes the diseases that can be caused by the left condition. Yes.

  The disease prediction means 002 stores the temperature (20 ° C) of the previous day sent on the previous day, and the difference (13-20 = -7 ° C) from the temperature (13 ° C) received today is compared with the previous day. Calculate as temperature difference.

  The disease predicting means 002 has a temperature difference from the previous day of −7 ° C. and the humidity of today is 70%. Therefore, the condition determined by today's environmental factors and the combination thereof is the environment in the table of FIG. It is determined that the condition 203 in the factor column 201 is satisfied. The disease prediction unit 002 refers to the disease information 204 corresponding to the condition 203 in the column 202. Thereby, the disease prediction means 002 predicts the occurrence of a disease called asthma attack according to the conditions of today's environmental factors.

  Similarly, when the information that the distance is approaching to the typhoon is received, the disease prediction unit 002 refers to the table 200 and predicts the occurrence of a disease called asthma attack from the disease information 205. When the photochemical smog warning is issued, the table 200 is referred to, and the occurrence of a disease such as an eye abnormality is predicted from the disease information 206.

  The disease prediction unit 002 sends the predicted disease information to the execution control unit 003.

  The execution control unit 003 shows a warning content table corresponding to a disease indicating what kind of warning is to be notified to a specific disease, and a notification destination corresponding to the notification target person 501 as shown in FIG. A notification destination table 500 of information 503 is previously stored. Here, FIG. 5 is a table of the information of the notification destination 101 corresponding to the notification target person. The name of each notification target person is described in the column of the notification target person 501, and the column of the notification destination name 502 The name of the notification destination when notifying the notification target person is described, and the notification destination information 503 is information on where the notification is actually made when the notification destination name 502 is notified. Here, the notification destination name 502 and the notification destination information 503, which are the notification destination 101, are not particularly limited. It can be set anywhere as long as it is necessary to be notified, such as the organization to which the subject belongs, and public institutions such as mass media and city halls.

  The execution control unit 003 receives information on the predicted disease from the disease prediction unit 002 and sends the information on the disease to the notification subject management unit 004. In the case of the present embodiment, the execution control unit 003 receives the information “asthma attack” and “eye abnormality” and sends the information to the notification subject person management unit 004.

  The execution control unit 003 receives information of the notification target person included in the group having the risk of occurrence of the predicted disease from the notification target person management unit 004. The execution control unit 003 determines the warning content by referring to the warning content table corresponding to the disease that the execution control unit 003 owns, and acquires the notification destination that notifies the warning by referring to the notification destination table 500 that the execution control unit 003 has. . Next, the execution control unit 003 sends the notification destination information and the warning content corresponding to the disease to the warning unit 005.

  The notification subject management unit 004 acquires and stores a group having a risk of causing a specific disease as shown in FIG. 3 or 4 from EHR (Electric Health Record) in advance. FIG. 3 is a diagram for explaining a management method in the form of a table for a group of persons to be notified. FIG. 4 is a diagram for explaining a method of managing a group of persons to be notified for each group. Here, as an example, the notification subject management means 004 stores each group as an individual group 400 having a disease risk as shown in FIG. However, there is no limitation on the method of storing the information, and any form may be used as long as it is possible to identify a notification target person included in a certain group. In this embodiment, groups having a risk of causing a specific disease as shown in FIG. 3 or FIG. 4 are stored in the disease management apparatus, but the groups shown in FIG. 3 or FIG. It may exist outside.

  Further, the notification subject person management unit 004 has a correspondence table indicating which group of notification subjects included in a specific disease has a risk of occurrence of the disease. This is because, for example, when a disease A is predicted, the group A, group C, and group D have a risk of occurrence of A. It is a table for selecting.

  Based on the predicted disease information received from the execution control unit 003, the notification target control unit 004 refers to the correspondence table held by itself, and the occurrence of the disease corresponding to the disease from the group stored by itself. Search for groups that are at risk. Here, from the table 300 in FIG. 3, the notification subject person management means 004 indicates that the asthma group 301 is at risk for asthma attacks in the case of asthma, and in the case of an eye abnormality, It can be searched that it is the eye history group 304 that has the risk of occurring, and from each group 400 in FIG. 4, in the case of asthma, it is the asthma group 401 that is at risk for asthma attacks, In the case of an eye abnormality, it can be searched that the eye disease history group 402 has a risk of causing an eye abnormality.

  Further, the notification target control unit 004 extracts a notification target person included in the searched group. If the notification subject person management means 004 is stored in the format of the table 300 in FIG. 3, in the case of asthma, the notification subject person management means 004 is a person who is checked from the column of the asthma group 301. To extract. That is, the notification subject person management unit 004 detects 302 checks from the asthma group 301 and extracts Mr. A corresponding thereto, detects 303 checks and extracts Mr. C corresponding thereto, and so on. The notification target person with other checks is also extracted. In the case of an eye abnormality, the notification target person management unit 004 similarly extracts the notification target person from the eye disease history group 304, and Mr. B, Mr. C, and other notification target persons who are checked. To extract.

  If the notification target person management unit 004 stores the information in the format of each group 400 in FIG. 4, the notification target person management unit 004 extracts patients included in each group 400. That is, in the case of asthma, the notification subject person management means 004 extracts Mr. A, Mr. B, and other persons included in the asthma group 401, and in the case of an eye abnormality, Mr. B included in the eye disease history group 402, Extract Mr. C and others.

  As described above, when the information is stored in the format of the table 300 shown in FIG. 3, the extraction of the notification target is slow, but the amount of data is small, and the format of each group 400 shown in FIG. If stored, the amount of data increases, but the extraction time for the notification target person becomes faster.

  Then, the notification subject management unit 004 notifies the execution control unit 003 of the group corresponding to the disease predicted to occur and the notification subject included in the group. Here, in the case of asthma, the notification subject person management means 004 sends identification information such as the names of persons A, B, and other persons in the asthma group. Send the identification information of Mr. C and others.

  In this embodiment, only one group is searched for one disease. However, this may search a plurality of groups for one disease. In this case, the notification subject person managing means 004 All notification target persons included in the plurality of groups are extracted.

  The warning unit 005 notifies the notification destination 101 received from the execution control unit 003 of the warning of the content received from the execution control unit 003. Here, as shown in FIG. 5, Mr. A, the attending doctor A, and the attending doctor B are set as the notification destination name 502 for the notifying persons 501 and B of the notification subject person 501, respectively. An asthma attack warning is sent to the telephone number and mail address of Mr. A, the mail address of the attending doctor B, and the mail address of the attending doctor B, which are the notification destination information 503.

  Further, the warning means 005 responds to the email address of the attending physician B described in the notification destination information 503 corresponding to Mr. B and Mr. C of the notification subject 502, each phone number of Mr. C, and the email address of Mr. C's father. Send an eye abnormality warning.

  Next, the flow of the disease management operation of the disease management apparatus according to the present embodiment will be described with reference to FIG. Here, FIG. 6 is a flowchart of disease management of the disease management apparatus according to the present embodiment.

  Step S001: The environmental factor acquisition unit 001 acquires an environmental factor from an external system or an internal database.

  Step S002: The disease prediction unit 002 receives an environmental factor from the environmental factor acquisition unit 001, and refers to the prediction table 200 (see FIG. 2) based on the environmental factor and the combination thereof for a disease that may occur. Predict.

  Step S003: The notification subject person management means 004 receives the predicted disease and refers to the correspondence table indicating which group of notification subjects included in the specific disease has a risk of occurrence of the disease. Search for groups that are at risk of developing the disease. Furthermore, the notification subject included in the searched group is extracted.

  Step S004: The execution control unit 003 refers to the warning content table corresponding to the disease that the device itself has, and determines the warning content corresponding to the predicted disease. Further, the notification target person information is received from the notification target person management unit 004, and the notification destination table 500 is referenced to determine the notification destination 101.

  Step S005: The warning unit 005 notifies the notification destination 101 received from the execution control unit 003 of the warning of the content received from the execution control unit 003.

  The disease management apparatus according to the present embodiment is configured by a program that defines the above-described disease management operation.

  In this embodiment, asthma attacks and eye abnormalities have been described, but diseases such as influenza may be targeted for prediction. For example, influenza epidemic information is received from a public institution, influenza is predicted from the degree of the epidemic, and a group having a risk of occurrence is searched. The groups searched at this time are the immunity (low) group and the infant group. And the warning of influenza occurrence is notified to the notification destination 101 corresponding to the notification subject included in the group. In this case, it is preferable to include a kindergarten or a public institution in the notification destination 101. In this way, by including a specific group or public institution in the notification destination 101, it is possible to spread the prediction of the occurrence of the disease not only for the person to be notified, but also in general, on a regional or national scale. Disease prevention or early treatment is possible.

  As described above, the disease management apparatus according to the present embodiment predicts a disease that may occur based on environmental factors representing environmental changes and epidemics and combinations thereof, and has a risk of causing the disease. Alerts can be sent to the target person and all places that require notification. Thereby, the occurrence of a disease can be predicted at an early stage, and the prevention or early treatment of the disease of all notification target persons who have a risk of the occurrence of the disease can be performed.

[Second Embodiment]
The disease management apparatus according to the second embodiment of the present invention will be described below. FIG. 7 is a block diagram showing functions of the disease management apparatus according to the present embodiment. Here, among the means shown in FIG. 7, means having the same reference numerals as those shown in FIG. 1 have the same functions. The disease management apparatus according to the present embodiment has a configuration in which the warning level is changed based on information on the health condition of the individual person to be notified in the disease management apparatus according to the first embodiment. Therefore, hereinafter, the change of the warning level from the acquisition of the health condition information of the individual to be notified will be described. In the following description, only the configuration of this embodiment will be described, but the disease management apparatus of this embodiment can be shared with the disease management apparatus of the first embodiment.

  The personal information acquisition unit 006 receives information indicating the personal health status of each notification target person from the biological monitoring sensor 102 that measures biological information such as an electrocardiogram and a blood glucose level. Here, in the present embodiment, information indicating the health condition is directly received from the biological monitoring sensor 102. This is because the information obtained by the biological monitoring sensor 102 or the like is collected in an EHR (Lifetime Medical Record) and personal information acquisition means 006 may be configured to acquire information indicating a health condition from the information collected in the EHR.

  The disease occurrence detection unit 007 receives the predicted disease from the execution control unit 003, and detects the occurrence of the predicted disease in each notification target person based on the acquired information indicating the health condition. This is because, for example, it is determined that the occurrence of diabetes has been detected when the blood glucose level exceeds a predetermined value by acquiring the blood glucose level, or the waveform of the electrocardiogram is disrupted by acquiring an electrocardiogram or blood pressure. It can be realized by a method of determining that the occurrence of asthma is detected when the blood pressure exceeds a predetermined value.

  The disease occurrence detection unit 007 sends information of the notification target person who is currently experiencing the predicted disease to the execution control unit 003.

  The execution control unit 003 receives the information of the notification target person in which the disease predicted from the disease occurrence detection unit 007 has occurred, and among the notification target persons included in the searched group received from the notification target person management unit 004. Calculate the percentage of people who already have the disease already predicted.

  The execution control unit 003 has a table of warning contents (warning levels) corresponding to the incidence rate for diseases, and changes the warning contents (warning levels) according to the ratio by referring to the table. For example, if the group is composed of 10 people, the occurrence of illness is detected in 10 to 7 of 10 people, the warning level is “high”, and the occurrence of illness in 6 to 4 of 10 people. When it is detected, the warning level is “medium”, and when the occurrence of disease is detected in 3 to 0 of 10 people, the warning level is “low”. Or, if the level of the asthma warning is high, “(Warning) It is very likely that an asthma attack will occur. Take appropriate measures in advance.” (Caution) Asthma attacks may occur, be careful. ”If the level is“ Low ”,“ (Information) Asthma attacks may occur. ” The content of the warning may be changed according to each level.

  The warning means 005 includes both the notification subject in which the occurrence of the disease is detected and the notification subject in which the occurrence of the disease is not detected, and both of them are the warnings determined by the execution control means 003. Notify the content (warning level). Here, in the present embodiment, the same warning is notified to both the notification subject who has detected the occurrence of the disease and the notification subject who has not detected the occurrence of the disease. The notification target person may be notified of the morbidity, and the notification target person whose occurrence of the disease is not detected may be notified of a warning.

  In the present embodiment, the occurrence of a disease in the notification subject is automatically detected. This is based on, for example, the notification subject being notified of his / her health several times a day. In addition, after the doctor determines the occurrence of the disease, the execution control means 003 may be notified of the information on the person to be notified of the occurrence of the disease.

  As described above, in the disease management apparatus according to the present embodiment, the warning level can be changed in accordance with the proportion of people who actually have a disease in the group. As a result, the person to be notified can take a more detailed precaution for the disease.

Block diagram of a disease management apparatus according to the first embodiment A diagram representing a prediction table for determining diseases that occur from environmental factors Figure for explaining the management method of the group of notification target people in table format The figure for demonstrating the method of managing the group of notification subject persons for every group Figure of table of notification destination information corresponding to notification target The figure of the flowchart of the disease management of the disease management apparatus which concerns on 1st Embodiment. The block diagram showing the function of the disease management device concerning a 2nd embodiment

Explanation of symbols

001 Environmental factor acquisition means 002 Disease prediction means 003 Execution control means 004 Notification subject management means 005 Warning means 006 Personal information acquisition means 007 Disease occurrence detection means

Claims (6)

Environmental factor acquisition means for acquiring environmental factors representing trends in environmental changes and epidemics;
A disease prediction means for predicting the occurrence of a predetermined disease based on the acquired environmental factor or a combination of the environmental factors;
A group of notification subjects having a risk of occurrence of the disease in advance, receiving information on the disease predicted to occur, and searching for a group corresponding to the risk of occurrence of the disease Means,
A disease management device comprising: warning means for notifying the notification target person included in the searched group of a warning. Personal information acquisition means for acquiring information indicating the current health status of the individual of the notification subject;
A disease occurrence detecting means for detecting the occurrence of the disease in the notification subject from the information indicating the health state, and
The warning means is
The disease management apparatus according to claim 1, wherein the warning content is changed based on a rate of occurrence of the disease in a group having a risk of developing the disease. The warning means is
The disease according to claim 1 or 2, wherein a warning is notified to a predetermined person concerned of the notification target person including a family and a medical institution, an organization to which the target person belongs, or a public institution. Management device. The environmental factor is weather information including temperature, humidity, and typhoon,
The disease prediction means predicts the occurrence of asthma based on the temperature difference and humidity ratio from the previous day, the approach of a typhoon, or a combination thereof. Disease management device. Memorizing a group of notification subjects who have a risk of developing a disease in advance;
An environmental factor acquisition stage for acquiring environmental factors representing the trend of environmental changes and epidemics from the outside,
A disease prediction step of predicting the occurrence of a predetermined disease based on the acquired environmental factor or a combination of the environmental factors;
Receiving the information on the disease predicted to occur, and searching for a group corresponding to the risk of the occurrence of the disease;
A disease management method comprising: a notification step of receiving a warning upon receiving the retrieved group. On the computer,
Memorize a group of notification subjects who have a risk of developing a disease in advance.
Obtain environmental factors that represent trends in environmental changes and epidemics from outside,
Predicting the occurrence of a predetermined disease based on the acquired environmental factor or a combination of the environmental factors,
Receiving information on the disease predicted to occur, and searching for a group corresponding to the risk of occurrence of the disease;
A disease management program characterized by receiving a warning notification in response to the retrieved group.

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