JP2005063456A - Disease symptoms prediction server, disease symptoms predicting system, disease symptoms prediction method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To realize a disease symptoms prediction server that provides members at exact timing with health warning for notifying health conditions that change according to weather. <P>SOLUTION: A bio-weather server 50 includes a predicting condition database 54 for storing, corresponding to a patient who is affected by weather conditions, a predicting expression that computes a symptoms level for the patient from the weather condition, and a members database 58 for storing, corresponding to a member's ID, the kinds of diseases that the member catches and a mail address of the member. The server 50 further includes a symptoms predicting section 52 for acquiring the weather condition and computing the symptoms level for the patient using the weather condition and the predicting expression obtained from the predicting condition database 54, and a health warning transmitting section 56 for extracting the member's ID and the mail address corresponding to the patient, if the computed symptoms level indicates beyond a predetermined warning level, and for transmitting the health warning that the patient has a higher risk of the symptoms becoming worse. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

  The present invention relates to a disease symptom prediction server, a disease symptom prediction system, a disease symptom prediction method, and a program for predicting a symptom of a disease affected by a member.

Conventionally, a bioweather service for predicting people's health based on weather fluctuation prediction has been implemented (for example, Non-Patent Document 1).
“Bioweather Service” [online], Kokudo Environment Co., Ltd. [searched on June 27, 2003], Internet <URL: http: // www. bioweather. net>

  However, since conventional bioweather services post health status predictions for various diseases collectively on the homepage, it is possible to provide information suitable for each individual's symptoms to individuals at an accurate timing. There was a problem that it was not possible.

  In order to solve the above-described problem, according to the first aspect of the present invention, a disease symptom prediction server for predicting a symptom of a disease affected by a member, corresponding to the type of disease affected by weather conditions In addition, a prediction condition database storing a prediction formula for calculating a symptom level of a disease from weather conditions, a member ID for identifying the member, a type of the disease affected by the member, The mail address, the region where the member lives, the member database that stores the drug or medical device that the member wants to deliver, and the weather conditions of the region where the member lives are obtained from the weather forecast server and stored in the prediction condition database The symptom prediction unit that calculates the symptom level of the disease using the predicted formula and the weather condition, and the symptom level calculated by the symptom prediction unit is equal to or higher than a predetermined attention level In some cases, the member ID and e-mail address associated with the disease are extracted from the member database, and a health warning is sent to the e-mail address indicating that the risk of worsening the symptoms related to the member's disease has increased. In addition, a health warning sending unit that further reads out the medicine or medical device corresponding to the extracted member ID from the member database and an external distribution center are registered in advance, and the medicine or medical device is sent to the health warning sending unit. And a delivery management unit that transmits an instruction to deliver to the member with the member ID extracted by the delivery center to the delivery center.

  According to the second aspect of the present invention, the disease symptom prediction server predicts the symptom of the disease affected by the member, and is associated with the type of the disease affected by the weather condition, A prediction condition database storing a prediction formula for calculating a symptom level, a member ID for identifying the member, a type of a disease affected by the member, an email address of the member, and a region where the member lives The symptom level of the disease is calculated using the prediction formula and the weather condition stored in the prediction condition database. Holiday / nighttime medical institution database that stores prediction units and medical institutions that perform medical care for holidays or nights in association with regions, scheduled medical treatment dates, and email addresses of medical institutions When the symptom level calculated by the symptom prediction unit is equal to or higher than a predetermined attention level, the member ID and email address associated with the corresponding disease are extracted from the member database, Sending health warnings that the risk of worsening symptoms related to the member's disease has increased, and based on the region extracted from the member database and the current date, in the region where the member lives, holiday treatment or nighttime within a certain period in the future A medical institution that conducts medical care is read from the medical institution database for holidays and nights, and a health warning information transmitting unit that transmits the read medical institution to the mail address of the member and the mail address of the medical institution together with the health warning information is provided.

  According to the third aspect of the present invention, a disease symptom prediction server that predicts a symptom of a disease affected by a member and a medical institution server that manages an electronic medical record related to the member are connected via a network. The disease symptom prediction system provided, wherein the disease symptom prediction server stores a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition And in association with the member ID for identifying the member, the type of the disease affected by the member, the mail address of the member, the mail address of the medical institution server, and the area where the member lives are stored. The member database and the weather conditions of the area where the member lives are obtained from the weather forecast server, and using the prediction formula and the weather conditions stored in the prediction condition database, A symptom prediction unit that calculates a status level, and a member ID, a member's email address, and a medical institution server associated with the disease when the calculated symptom level is equal to or higher than a predetermined attention level The e-mail address is extracted from the member database, and the e-mail address is sent to both e-mail addresses. Corresponding to the member ID, send the medical institution's consultation information to the patient database that stores the member's electronic medical record and the email address of the member who is the subject of the health alert received from the disease symptom prediction server At the same time, the electronic medical record is read from the patient database using the member ID associated with the health warning as a search key. And an patient information output unit for transmitting the diagnostic type terminal to be utilizing the electronic medical record on examination in a medical institution.

  According to the fourth aspect of the present invention, there is provided a disease symptom prediction method for predicting a symptom of a disease affected by a member using a computer, wherein the computer corresponds to the type of disease affected by weather conditions. In addition, a prediction formula for calculating a disease symptom level from weather conditions is stored in the prediction condition database, and a member ID for identifying the member is associated with the type of the disease affected by the member, Store the email address, the region where the member lives, and the medicinal or medical device that the member wants to deliver in the member database, and obtain the weather conditions of the region where the member lives from the weather forecast server and store it in the prediction condition database A step of calculating a symptom level of a disease using a predicted formula and a weather condition, and the calculated symptom level is equal to or higher than a predetermined attention level In some cases, the member ID and e-mail address associated with the disease are extracted from the member database, and a health warning is sent to the e-mail address indicating that the risk of worsening the symptoms related to the member's disease has increased. And a step of further reading out the medicine or medical device corresponding to the extracted member ID from the member database, registering an external delivery center in advance, and delivering the medicine or medical device to the member to the delivery center. Transmitting.

  According to the fifth aspect of the present invention, there is provided a disease symptom prediction method for predicting a symptom of a disease affected by a member using a computer, wherein the computer corresponds to the type of disease affected by weather conditions. In addition, a prediction formula for calculating a disease symptom level from weather conditions is stored in the prediction condition database, and a member ID for identifying the member is associated with the type of the disease affected by the member, The email address, the region where the member lives, the step of memorizing the medicine or medical device that the member wishes to deliver in the member database, the medical institution performing holiday medical treatment or night medical treatment, the mail of the region, scheduled medical treatment date and medical institution Steps of storing in the holiday / nighttime medical institution database in association with the address and the weather conditions of the area where the member lives are obtained from the weather forecast server A step of calculating a symptom level of a disease using a prediction formula and a weather condition stored in the condition database, and when the calculated symptom level is equal to or higher than a predetermined attention level, the step is associated with the corresponding disease. A member ID and an email address are extracted from the member database, and a health warning message indicating that the risk of worsening a symptom of the member's disease has increased is sent to the email address; and the region extracted from the member database Based on the current date, in the area where the member lives, the medical institution performing holiday medical care or night medical care within a certain period in the future is read from the holiday / night medical institution database. Transmitting to a mail address of a medical institution.

  According to the sixth aspect of the present invention, there is provided a computer program for predicting a symptom of a disease affected by a member, which is associated with the type of the disease affected by the weather condition, A prediction condition management function that stores a prediction formula for calculating a symptom level, and a member ID that identifies a member, a type of a disease affected by the member, an email address of the member, a region where the member lives, And a member management function for memorizing medicinal products or medical devices that the member wishes to deliver, a weather condition for the area where the member lives is obtained from the weather forecast server, and a prediction formula and weather condition stored by the prediction condition management function The symptom prediction function for calculating the symptom level of a disease using the symptom and the symptom level calculated by the symptom prediction function is equal to or higher than a predetermined attention level. The member ID and e-mail address attached are extracted, and a health warning is sent to the e-mail address indicating that the risk of worsening the symptoms related to the member's disease has increased, and the medicine corresponding to the extracted member ID Or, a health warning transmission function for further reading out medical devices from the member management function and an external delivery center are registered in advance, and the medicine or medical device is delivered to the member with the member ID extracted by the health transmission function. A computer realizes a delivery management function for transmitting an instruction to a delivery center.

  A computer program for predicting symptoms of a disease affected by a member according to a seventh aspect of the present invention, wherein the program is associated with the type of the disease affected by the weather condition, A prediction condition management function that stores a prediction formula for calculating a symptom level, and a member ID that identifies a member, a type of a disease affected by the member, an email address of the member, a region where the member lives, And a member management function for memorizing medicinal products or medical devices that the member wishes to deliver, a weather condition for the area where the member lives is obtained from the weather forecast server, and a prediction formula and weather condition stored by the prediction condition management function Using the, the symptom prediction function that calculates the symptom level of the disease and the medical institution that conducts medical care on holidays or at night are stored in association with the region, the scheduled medical treatment date, and the email address of the medical institution When the symptom level calculated by the holiday / night medical institution management function and the symptom prediction function is equal to or higher than the predetermined attention level, the member ID and email address associated with the corresponding disease are extracted. , Send a health warning to the e-mail address indicating that the risk of worsening the disease related to the member has increased, and based on the region extracted from the member management function and the current date, Health care that reads medical institution that provides medical care during holidays or nighttime treatment within a certain period from the management function of holiday / night medical care, and sends the read medical institution to the member's e-mail address and e-mail address of the medical institution along with health warnings The information transmission function is realized on a computer.

  The above summary of the invention does not enumerate all the necessary features of the present invention, and sub-combinations of these feature groups can also be the invention.

  Hereinafter, the present invention will be described through embodiments of the invention. However, the following embodiments do not limit the invention according to the scope of claims, and all combinations of features described in the embodiments are included. It is not necessarily essential for the solution of the invention.

  FIG. 1 shows an example of a system configuration of a bioweather system 100 according to an embodiment of the present invention. The bioweather system 100 is an example of a disease symptom prediction system of the present invention, and predicts a symptom level for each disease based on a weather forecast server 10 that provides a regional weather forecast and a weather forecast. Bioweather server 50 that transmits health warnings to members who are expected to deteriorate, medical institution server 20 that manages the members' electronic medical records, and delivery instructions for medicines or medical devices to be received and displayed A distribution center terminal 30 and a member terminal 40 for displaying a health warning addressed to the member.

  The weather forecast server 10 is operated and managed by, for example, a weather information provider that provides weather forecasts. The bioweather server 50 is operated and managed by a provider of a disease symptom prediction service realized by the present invention, for example. The medical institution server 20 is operated and managed by, for example, a local medical institution where members are attached. The delivery center terminal 30 is used, for example, in a medicine delivery center that delivers medicines or medical devices to members. The member terminal 40 may be an information terminal that can receive and display an e-mail addressed to a member, and may be a portable information terminal such as a mobile phone in addition to a personal computer.

  The bioweather server 50 also transmits health alerts regarding members to the medical institution server 20. The medical institution server 20 prepares for a member's visit by transmitting a visit guide to the member based on the health warning and distributing the member's medical chart to the examination terminal 22. In addition, the bioweather server 50 transmits a delivery instruction for the medicine or medical device desired by the member to the delivery center terminal 30. The drug delivery center delivers the drug or medical device to the member according to the delivery instruction displayed on the delivery center terminal 30.

  According to the bioweather system 100 configured as described above, it is possible to predict a health state that changes according to the weather, and to provide a health warning according to the member's disease to the member.

  FIG. 2 shows a functional configuration of the bioweather server 50 which is an example of the disease symptom prediction server of the present invention. The bioweather server 50 identifies a member as a database and a prediction condition database 54 that stores a prediction expression for calculating a disease symptom level from the weather condition in association with the type of disease affected by the weather condition. The member database 58 stores therein the type of the disease affected by the member and the mail address of the member in association with the member ID.

  The bioweather server 50 further obtains weather conditions from the weather forecast server 10 as a functional unit, and uses the prediction formula and weather conditions stored in the prediction condition database 54 to calculate the symptom level of the disease. When the prediction unit 52 and the calculated symptom level are equal to or higher than a predetermined attention level, a member ID and an email address associated with the corresponding disease are extracted from the member database 58 and addressed to the email address. The health warning transmission unit 56 for transmitting a health warning indicating that the risk related to the illness related to the member's illness has increased, and the medical institution performing holiday medical care or night medical care are stored in association with the region and scheduled medical care date. And a holiday / night medical institution database 62.

  With the above configuration, the bioweather server 50 can predict deterioration of the symptom level due to a change in weather, and provide health warnings according to the member's disease to the member at an appropriate timing.

  The bio-weather server 50 further sends a delivery instruction for the medicine or medical device registered in advance to be delivered to the member to the delivery center terminal 30 when the deterioration of the symptom level of the member is predicted. A delivery management unit 60. Accordingly, the bioweather server 50 can arrange for delivery of necessary medicines and medical devices to the member in preparation for deterioration of the member's disease level.

  The recording medium 300 a stores a program that causes the bioweather server 50 to realize the functions of the symptom prediction unit 52, the prediction condition database 54, the alert transmission unit 56, the member database 58, and the delivery management unit 60. The recording medium 300a may acquire such a program via a network.

  FIG. 3 shows a functional configuration of the medical institution server 20. The medical institution server 20 has a patient database 26 that stores an electronic medical record of the member in association with the member ID. Furthermore, as a functional unit, a patient information output unit 24 that transmits a consultation information of the medical institution to a mail address of a member who is a target of a health warning received from the bioweather server 50 is provided. The patient information output unit 24 further reads out the electronic medical record from the patient database 26 using the member ID associated with the health warning as a search key, and distributes the electronic medical record to the medical examination terminal 22 used for the medical examination.

  The recording medium 300b stores a program that causes the medical institution server 20 to realize the functions of the patient information output unit 24 and the patient database 26 described above. The recording medium 300b may acquire such a program via a network.

  FIG. 4 shows an example of the data format of the prediction condition database 54. The prediction condition database 54 stores a symptom level prediction formula (F1, F2,..., F5,...) For calculating the symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition. ing. Each of the symptom level prediction formulas includes a plurality of parameters such as atmospheric pressure, temperature, and humidity according to the type of the corresponding disease. The prediction formula is set based on “biometeorology” that studies the direct and indirect effects of weather / climate conditions on the living body.

  FIG. 5 shows an example of the data format of the member database 58. The member database 58 is associated with the member ID for identifying the member, the region where the member lives, the member's email address (hereinafter referred to as member address), and the email address of the medical institution server 20 that manages the member's electronic medical record. (Hereinafter referred to as “medical institution address”), the type of disease that the member suffers from, and the medicine or medical device that the member wishes to deliver. In this embodiment, the medicine or medical device stored in the member database 58 is registered in advance by the member, but instead of this, the medicine or medical device generally required according to the type of disease is uniformly used. You may remember.

  In addition, the member database 58 may store a plurality of types of diseases in association with one member ID. In this case, the alert transmission unit 56 can read out the member ID, the region, the member address, the medical institution address, and the medicine / medical device using the type of the disease as a search key.

  FIG. 6 shows an example of the data format of the patient database 26. The patient database 26 stores the electronic medical record of the member in association with the member ID. Further, the patient database 26 may store a plurality of types of diseases in association with one member ID. In this case, the electronic medical record may be divided for each type of disease. The patient information output unit 24 can read out the electronic medical record using the member ID and the disease type as search keys.

  FIG. 7 shows a procedure in which the bioweather server 50 transmits health warnings to members. First, the symptom prediction unit 52 acquires, from the weather forecast server 10, the weather forecast for each region where the member lives, stored in the member database 58 (S10). The weather forecast includes various weather conditions that are parameters of the above-described symptom level prediction formula. Next, the symptom prediction unit 52 calculates a symptom level for each disease using the symptom level prediction formula stored in the prediction condition database 54 and the weather condition (S12). The symptom levels are, for example, four levels from level 0 at which no symptom is expected or lightest to level 3 to level 3 at which symptom is predicted to be heaviest.

  The warning transmission unit 56 determines whether or not the symptom level calculated in step 12 is equal to or higher than a predetermined attention level (S14). The attention level is, for example, level 2 out of levels 0 to 3 described above. When it is determined that the symptom level is equal to or higher than the caution level (S14: Yes), the warning information sending unit 56 uses the region and the disease type as a search key from the member database 58, the member ID, the member address, and the medical institution address. And pharmaceutical / medical devices are extracted (S16). Further, the alert transmission unit 56 reads out medical institutions that perform holiday medical care and night medical care within a certain period in the future, for example, within one week, in the area where the member lives, based on the region extracted from the member database 58 and the current date. . On the other hand, if it is determined in step 14 that the symptom level is not higher than the attention level (S14: No), the process proceeds to step 18.

  Next, the warning transmission unit 56 determines whether or not the symptom level has been calculated for all the diseases stored in the prediction condition database 54 (S18). When it is determined that the calculation of symptom levels for all diseases has not been executed (S18: No), the process returns to step 12 to calculate the symptom levels for other diseases. On the other hand, if it is determined that the calculation of the symptom level has been executed for all the diseases (S18: Yes), whether or not the symptom level calculation for all the diseases has been executed for all the regions stored in the member database 58 next. Is determined (S20). If it is determined in step 20 that the disease symptom level calculation has been executed for all regions (S20: Yes), the process proceeds to step 22. On the other hand, if it is determined in step 20 that the disease symptom level calculation has not been executed for all regions (S20: No), the process returns to step 10 to obtain weather forecasts for other regions.

  Next, the health warning notification unit 56 notifies the health risk report that the risk that the symptom related to the disease extracted by the member extracted in step 16 is increased with respect to the disease for which the symptom level is determined to be higher than the caution level. Then, in the area where the member lives, a medical institution that will carry out a holiday medical care and a night medical care within a certain period in the future is transmitted to the member address and the medical institution address (S22). Next, the delivery management unit 60 transmits a delivery confirmation message to the member address to confirm whether or not the delivery of the medicine and the medical device extracted by the alert transmission unit 56 in step 16 is desired (S24). Note that the delivery confirmation message may be included in the health warning in step 22.

  Next, the delivery management unit 60 determines whether or not the application for delivery of medicines and medical devices has been received from a member (S26). If it is determined in step 26 that the delivery application has been received (S26: Yes), the delivery management unit 60 transmits a delivery instruction for the medicines and medical devices included in the delivery application to the delivery center terminal 30 (S28). The delivery instruction includes at least a member ID, a delivery address, an article to be delivered, and its quantity. On the other hand, if it is determined in step 26 that the delivery application has not been received (S26: No), step 28 is skipped. This flow is completed.

  Note that the attention level may be set individually for each member. The member can set the attention level through the member terminal 40. In this case, the warning information sending unit 56 compares the symptom level calculated by the symptom prediction unit 52 with the caution level for each member, and transmits the health warning information to the member whose symptom level has reached the caution level. To do. As a result, it is possible to transmit a health warning at a disease level suitable for each member for a disease having a large individual difference in symptoms even under similar weather conditions.

  FIG. 8 shows a procedure in which the medical institution server 20 prepares a member to receive a medical examination. First, the patient information output unit 24 receives a health warning from the bioweather server 50 (S50). Next, based on the member ID and the type of disease included in or associated with the health warning, a consultation guide for the disease is transmitted to the address of the member (S52). In the consultation guide, the URL of a site for applying for a medical appointment online is described. The medical institution server 20 accepts a member's consultation reservation through such a site.

  Next, the patient information output unit 24 extracts the electronic medical record from the patient database 26 using the member ID and the disease type as search keys, and distributes them to the medical examination terminal 22 (S54). The doctor can confirm the member's electronic medical record distributed to the examination terminal 22, create prescription data of a medicine that alleviates the member's symptoms, and can input it to the examination terminal 22. The medical institution server 20 transfers the prescription data input to the medical examination terminal 22 to the terminal of the medicine department. This flow is completed.

  With the above operation, the medical institution server 20 transmits a consultation information to a member about a disease for which deterioration of symptoms is predicted, and distributes an electronic medical record to the terminal 22 for diagnosis. Therefore, the medical institution can prepare for acceptance of the member's consultation regarding the symptom.

  FIG. 9 shows an example of the health warning displayed by the member terminal 40. The health warning in this example includes delivery confirmation of medicines and medical devices. The health warning includes the type of disease whose symptoms are expected to be worsened by the weather, the time when the symptoms worsen, the level of symptoms, and measures to alleviate the symptoms. The time when the symptoms worsen may be displayed up to the time of the day.

  As is clear from the above description, according to the bioweather system 100 of the present embodiment, the health condition that changes according to the weather is predicted, and the health warning according to the member's disease is sent to the member at an appropriate timing. Can be provided.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiment. It is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

1 is a diagram illustrating an example of a system configuration of a bioweather system 100. FIG. 3 is a block diagram showing a functional configuration of a bioweather server 50. FIG. 2 is a block diagram showing a functional configuration of a medical institution server 20. FIG. An example of the data format of the prediction condition database 54 is shown. An example of the data format of the member database 58 is shown. An example of the data format of the patient database 26 is shown. It is a flowchart which shows the procedure in which the bioweather server 50 transmits a health warning to a member. It is a flowchart which shows the procedure in which the medical institution server 20 prepares for the medical examination acceptance of a member. An example of the health warning displayed by the member terminal 40 is shown.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Weather forecast server, 20 Medical institution server, 22 Examination terminal, 24 Patient information output part, 26 Patient database, 30 Distribution center terminal, 40 Member terminal, 50 Bioweather server, 52 Symptom prediction part, 54 Prediction condition database, 56 Alert information sending part, 58 Member database, 60 Delivery management part, 62 Holiday / night medical institution database, 100 Bioweather system, 300 Recording medium

Claims (7)

A disease symptom prediction server that predicts the symptoms of a disease affected by a member,
A prediction condition database storing a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition;
In association with the member ID for identifying the member, the type of the disease affected by the member, the email address of the member, the region where the member lives, and the medicine or medical device that the member wishes to deliver are stored. Member database and
A symptom prediction unit that obtains the weather condition of the region where the member lives from a weather forecast server, and calculates the symptom level of the disease using the prediction formula and the weather condition stored in the prediction condition database When,
When the symptom level calculated by the symptom prediction unit is equal to or higher than a predetermined attention level, the member ID and the email address associated with the corresponding disease are extracted from the member database, and the email A health warning that the risk of worsening the symptoms related to the disease of the member has increased is sent to the address, and the medicine or medical device corresponding to the extracted member ID is further read from the member database A health advisory department,
An external delivery center is registered in advance, and the delivery management unit transmits an instruction to deliver the medicine or medical device to the member with the member ID extracted by the health attention sending unit to the delivery center. Disease symptom prediction server. A disease symptom prediction server that predicts the symptoms of a disease affected by a member,
A prediction condition database storing a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition;
In association with the member ID for identifying the member, a member database storing the type of disease affected by the member, the mail address of the member, and the region where the member lives,
A symptom prediction unit that obtains the weather condition of the region where the member lives from a weather forecast server, and calculates the symptom level of the disease using the prediction formula and the weather condition stored in the prediction condition database When,
Holiday / night medical institution database that stores medical institutions that perform holiday medical care or night medical care in association with the region, scheduled medical treatment date, and email address of the medical institution,
When the symptom level calculated by the symptom prediction unit is equal to or higher than a predetermined attention level, the member ID and the email address associated with the corresponding disease are extracted from the member database, and the email Send a health warning to the address to the effect that the risk related to the disease of the member has deteriorated, and based on the region extracted from the member database and the current date, Read the medical institution performing holiday medical care or night medical care within a certain period from the holiday / night medical institution database, and read out the medical institution along with the health warnings to the e-mail address of the member and the e-mail address of the medical institution A disease symptom prediction server comprising a health warning transmission unit that transmits to a child. A disease symptom prediction system comprising a disease symptom prediction server for predicting a symptom of a disease affected by a member and a medical institution server managing an electronic medical record related to the member, connected via a network,
The disease symptom prediction server is
A prediction condition database storing a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition;
In association with the member ID for identifying the member, the type of the disease affected by the member, the mail address of the member, the mail address of the medical institution server, and the region where the member lives are stored. Member database,
A symptom prediction unit that obtains the weather condition of the region where the member lives from a weather forecast server, and calculates the symptom level of the disease using the prediction formula and the weather condition stored in the prediction condition database When,
When the calculated symptom level is equal to or higher than a predetermined attention level, the member ID associated with the disease, the email address of the member, and the email address of the medical institution server are A health advisory sending unit that extracts from the member database and sends to both the email addresses a health warning that the risk of worsening the symptoms related to the disease of the member has increased,
The medical institution server is
A patient database storing the electronic medical record of the member in association with the member ID;
The medical institution consultation information is transmitted to the email address of the member who is the target of the health warning received from the disease symptom prediction server, and the member ID associated with the health warning is searched. A disease symptom prediction system comprising: a patient information output unit that reads out the electronic medical record from the patient database as a key and transmits the electronic medical record to a medical examination terminal used for medical examination at the medical institution. A disease symptom prediction method for predicting a symptom of a disease affecting a member using a computer, the computer comprising:
Storing a prediction formula for calculating a symptom level of the disease from the weather condition in a prediction condition database in association with the type of the disease affected by the weather condition;
Corresponding to the member ID for identifying the member, the type of the disease affected by the member, the email address of the member, the area where the member lives, and the medicine or medical device that the member wishes to deliver Storing in a database;
Obtaining the weather condition of the area where the member lives from a weather forecast server, and calculating the symptom level of the disease using the prediction formula and the weather condition stored in the prediction condition database;
When the calculated symptom level is equal to or higher than a predetermined attention level, the member ID and the email address associated with the corresponding disease are extracted from the member database, and the member is addressed to the email address. Sending a health warning stating that there is an increased risk of worsening the symptoms associated with the disease;
Further reading out the medicine or medical device corresponding to the extracted member ID from the member database,
A disease symptom prediction method comprising: registering an external delivery center in advance and transmitting an instruction to deliver the medicine or medical device to the member to the delivery center. A disease symptom prediction method for predicting a symptom of a disease affecting a member using a computer, the computer comprising:
Storing a prediction formula for calculating a symptom level of the disease from the weather condition in a prediction condition database in association with the type of the disease affected by the weather condition;
Corresponding to the member ID for identifying the member, the type of the disease affected by the member, the email address of the member, the area where the member lives, and the medicine or medical device that the member wishes to deliver Storing in a database;
Storing the medical institution performing holiday medical care or night medical care in the holiday / night medical institution database in association with the region, scheduled medical treatment date, and the email address of the medical institution;
Obtaining the weather condition of the area where the member lives from a weather forecast server, and calculating the symptom level of the disease using the prediction formula and the weather condition stored in the prediction condition database;
When the calculated symptom level is equal to or higher than a predetermined attention level, the member ID and the email address associated with the corresponding disease are extracted from the member database, and the member is addressed to the email address. Sending a health warning stating that there is an increased risk of worsening the symptoms associated with the disease;
Based on the region extracted from the member database and the current date, the medical institution performing a holiday medical treatment or a night medical treatment within a certain period in the future in the region where the member lives is read from the holiday / night medical institution database, and the read medical A disease symptom prediction method comprising: sending an institution together with the health warning to the e-mail address of the member and the e-mail address of the medical institution. A computer program that predicts the symptoms of a disease that a member has,
A prediction condition management function for storing a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition;
In association with the member ID for identifying the member, the type of the disease affected by the member, the email address of the member, the region where the member lives, and the medicine or medical device that the member wishes to deliver are stored. Member management function,
The symptom prediction for acquiring the symptom level of the disease using the prediction formula and the weather condition stored by the prediction condition management function, acquiring the weather condition of the area where the member lives Function and
When the symptom level calculated by the symptom prediction function is equal to or higher than a predetermined attention level, the member ID and the e-mail address associated with the disease are extracted, and the e-mail address is addressed. A health warning notice that the risk of worsening the symptoms related to the disease of the member has increased, and the medicine or medical device corresponding to the extracted member ID is further read out from the member management function Call function,
An external delivery center registered in advance, and a delivery management function for sending an instruction to deliver the medicinal product or medical device to the member of the member ID extracted by the health call sending function to the delivery center; A program to be realized by the computer. A computer program that predicts the symptoms of a disease that a member has,
A prediction condition management function for storing a prediction formula for calculating a symptom level of the disease from the weather condition in association with the type of the disease affected by the weather condition;
In association with the member ID for identifying the member, the type of the disease affected by the member, the email address of the member, the region where the member lives, and the medicine or medical device that the member wishes to deliver are stored. Member management function,
The symptom prediction for acquiring the symptom level of the disease using the prediction formula and the weather condition stored by the prediction condition management function, acquiring the weather condition of the area where the member lives Function and
Holiday / night medical institution management function that stores medical institutions that perform holiday medical care or night medical care in association with the region, scheduled medical treatment date, and email address of the medical institution,
When the symptom level calculated by the symptom prediction function is equal to or higher than a predetermined attention level, the member ID and the e-mail address associated with the disease are extracted, and the e-mail address is addressed. Send a health warning to the effect that the symptom related to the disease of the member has deteriorated, and based on the region extracted from the member management function and the current date, the member will live within a certain period in the future. The medical institution performing a holiday medical care or night medical care is read from the holiday / night medical institution management function, and the read medical institution is transmitted together with the health warning to the member's e-mail address and the medical institution's e-mail address. A program for causing the computer to realize a health alert transmission function.

Images