JP6940898B1 - Consultation recommendation system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a consultation recommendation system capable of appropriately grasping a consultation status for a disease to be treated and effectively recommending a consultation to a person to be recommended for consultation. SOLUTION: This is a system for encouraging a person subject to health management to receive a medical examination at a medical institution, and includes a storage unit, a health condition information receiving unit for receiving health condition information, a medical condition information receiving unit, and a medical examination recommended person extraction unit. A consultation recommendation information transmission unit that sends consultation recommendation information about a predetermined disease to a consultation recommendation target person, a progress information creation unit that creates progress information and stores it in a storage unit, and a consultation information receiving unit that receives consultation information. , It is equipped with a consultation presence / absence judgment unit that determines that the person to be recommended for consultation has received a consultation for a predetermined disease when a predetermined disease is included in the consultation information, and the consultation recommendation information transmission unit receives a consultation for the predetermined disease. Resend the consultation recommendation information to those who are not judged to have done so. [Selection diagram] Fig. 1

Description

The present invention relates to a system that encourages a person subject to health care to undergo a medical examination at a medical institution.

Conventionally, a health diagnosis result management device is known (see Patent Document 1).

Japanese Unexamined Patent Publication No. 2006-72532

According to the invention described in Patent Document 1, based on the result of the health examination, the secondary examination to be performed by the person whose health condition is to be managed is recognized, the secondary examination is recommended, and then the secondary examination is recommended. It is possible to manage whether or not a patient has been examined.

By the way, an organization such as a health insurance union identifies a member who should be recommended to receive a medical examination for a predetermined disease at a medical institution by referring to the result of the medical examination of the member, and the prescription at the medical institution or the like. We are engaged in business such as contacting people to recommend medical examinations regarding their diseases.

By encouraging such consultation, it is expected to prevent the aggravation of diseases that the union members are suffering from or may be suffering from, and to reduce medical expenses incurred in the future. ..

It is conceivable to apply the invention described in Patent Document 1 to the business concerned, but in the invention described in Patent Document 1, whether or not the union member has undergone a secondary examination for a predetermined disease for which consultation is recommended. Since it is not known, the preventive effect on the aggravation of a predetermined disease, which is the target of consultation recommendation, is uncertain, and the effect of reducing medical expenses that will occur in the future cannot be expected.

Therefore, an object of the present invention is to provide a consultation recommendation system capable of appropriately grasping the consultation status of a disease to be treated and effectively recommending a consultation to a person who is recommended to receive a consultation.

The consultation recommendation system of the present invention is
It is a system that encourages people subject to health care to visit a medical institution.
A storage unit that stores information on consultation recommendation criteria, which is a criterion for determining whether or not to recommend consultations for certain diseases to health care recipients.
A health condition information receiving unit that receives health condition information, which is information on test results related to the health condition of the person subject to health management, and a health condition information receiving unit.
Based on the health condition information and the consultation recommendation standard information, a consultation recommendation target person extraction unit that extracts a consultation recommendation target person for the predetermined disease from the health management target person, and a consultation recommendation target person extraction unit.
A consultation recommendation level determination unit that determines the consultation recommendation level of the consultation recommendation target person based on the health condition information and stores the determined consultation recommendation level in the storage unit in association with the consultation recommendation target person.
A consultation recommendation information transmission unit that transmits consultation recommendation information for recommending consultation for the predetermined disease at the medical institution to the consultation recommendation target person, and a consultation recommendation information transmission unit.
A progress information creation unit that creates progress information in which the information that identifies the person to be recommended for consultation to which the consultation recommendation information is transmitted and the disease identification information that identifies the predetermined disease are associated with each other and stored in the storage unit. ,
Receives consultation information indicating that the consultation recommendation target person has received a consultation at the medical institution after transmitting the consultation recommendation information, including information on a disease diagnosed by the consultation recommendation target person at the time of consultation. With the consultation information receiver
When the consultation information includes the predetermined disease indicated by the disease specific information stored in association with the consultation recommendation target person based on the progress information and the consultation information, the consultation recommendation is made. It is provided with a consultation presence / absence determination unit for determining that the subject has consulted for the predetermined disease at the medical institution.
The consultation recommendation target person whose consultation recommendation level is a level that requires multiple consultations at the medical institution, and the consultation recommendation target person who is determined to have consulted at the medical institution at least once. ,
Based on the consultation information received since the last time it was determined that the patient had a medical examination at the medical institution, the medical examination presence / absence determination unit re-checks whether or not the medical institution recommended person has a medical examination. It is configured to judge and
The consultation recommendation information transmitting unit has passed a predetermined period of time since the previous determination that the patient has received a medical examination at the medical institution, and the medical institution determines whether or not the medical institution has a medical examination. It is characterized in that the consultation recommendation information is retransmitted to the consultation recommendation target person who has not been re-determined as having done so.

According to the present invention, the consultation recommendation information transmission unit transmits consultation recommendation information for recommending consultation for a predetermined disease at a medical institution to a consultation recommendation target person.

After that, when the consultation information includes a predetermined disease indicated by the disease specific information stored in association with the consultation recommendation target person by the consultation presence / absence determination unit, the consultation recommendation target person is the predetermined disease at the medical institution. It is judged that he / she had a medical examination.

Then, the consultation recommendation information is retransmitted to the consultation recommendation target person who has not been determined to have received the consultation for the predetermined disease at the medical institution.

As a result, it is possible to appropriately grasp the consultation status for a predetermined disease to be treated, and to effectively retransmit the consultation recommendation information to those who have not received medical treatment at a medical institution. ..
In addition, for those who are eligible for continuous consultation at a medical institution, it is necessary to recommend multiple consultations.
According to the present invention, for a person who is recommended to have a medical examination at a level that requires a plurality of medical examinations at a medical institution, a person who is recommended to have a medical examination is determined to have been examined at a medical institution at least once, and then within a predetermined period. Whether or not you have a medical examination is re-determined.
Then, the consultation recommendation information is retransmitted to the consultation recommendation target person who is not re-determined to have received the consultation within the predetermined period.
Therefore, it is possible to appropriately grasp the consultation status of the disease to be treated, and effectively recommend the consultation to the person who is recommended to receive the consultation, which requires continuous consultation at the medical institution.
Alternatively, the consultation recommendation system of the present invention is
It is a system that encourages people subject to health care to visit a medical institution.
A storage unit that stores information on consultation recommendation criteria, which is a criterion for determining whether or not to recommend consultations for certain diseases to health care recipients.
A health condition information receiving unit that receives health condition information, which is information on test results related to the health condition of the person subject to health management, and a health condition information receiving unit.
Based on the health condition information and the consultation recommendation standard information, a consultation recommendation target person extraction unit that extracts a consultation recommendation target person for the predetermined disease from the health management target person, and a consultation recommendation target person extraction unit.
A consultation recommendation level determination unit that determines the consultation recommendation level of the consultation recommendation target person based on the health condition information and stores the determined consultation recommendation level in the storage unit in association with the consultation recommendation target person.
A consultation recommendation information transmission unit that transmits consultation recommendation information for recommending consultation for the predetermined disease at the medical institution to the consultation recommendation target person, and a consultation recommendation information transmission unit.
A progress information creation unit that creates progress information in which the information that identifies the person to be recommended for consultation to which the consultation recommendation information is transmitted and the disease identification information that identifies the predetermined disease are associated with each other and stored in the storage unit. ,
Receives consultation information indicating that the consultation recommendation target person has received a consultation at the medical institution after transmitting the consultation recommendation information, including information on a disease diagnosed by the consultation recommendation target person at the time of consultation. With the consultation information receiver
A dispensing information receiving unit that receives dispensing information including information on medicines prescribed at the time of consultation at the medical institution, and a dispensing information receiving unit.
Based on the information on the drug included in the dispensing information, a health condition estimation unit that estimates the health condition of the person recommended for consultation at the time of consultation at the medical institution, and a health condition estimation unit.
When the consultation information includes the predetermined disease indicated by the disease specific information stored in association with the consultation recommendation target person based on the progress information and the consultation information, the consultation recommendation is made. It is provided with a consultation presence / absence determination unit for determining that the subject has consulted for the predetermined disease at the medical institution.
The consultation recommendation level determination unit is configured to redetermine the consultation recommendation level based on the health condition estimated by the health condition estimation unit.
The consultation recommendation information transmission unit is configured to retransmit the consultation recommendation information to the consultation recommendation target person who has not been determined by the consultation presence / absence determination unit to have received a consultation for the predetermined disease at the medical institution. In addition, the length of the period from the transmission of the consultation recommendation information to the re-transmission of the consultation recommendation information shall differ depending on the determined consultation recommendation level.
It is characterized by that.
For example, a person who is recommended to have a medical examination whose illness is not so severe may take a long time to resend the recommended medical examination because the urgency of the medical examination is low. On the other hand, it is necessary to encourage those who are recommended to have a medical examination, whose disease may become serious, to have an early medical examination.
According to the present invention, the consultation recommendation level of the consultation recommendation target person can be determined based on the health condition information, and the length of the period until the consultation recommendation information is retransmitted can be changed according to the consultation recommendation level.
In addition, the severity of the illness of the person recommended for consultation, etc. It is possible that the health condition of the patient will change. The method of recommending consultation is required to be reviewed according to the health condition of the person recommended for consultation.
Then, the health condition of the person recommended for consultation can be estimated from the contents of the medicines prescribed at the time of consultation (type, efficacy, strength of efficacy, quantity, etc.) of the medicines.
According to the present invention, the health condition of a person recommended for consultation at the time of consultation at the medical institution is estimated based on the information of the medicine prescribed at the time of consultation at the medical institution. Then, the recommended consultation level is re-determined based on the estimated health condition.
As a result, it is possible to appropriately grasp the consultation status of the disease to be treated and effectively recommend the consultation according to the change in the health condition of the person to be recommended for consultation.

As described above, according to the present invention, it is possible to appropriately grasp the consultation status of the disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

In the consultation recommendation system of the present invention
The consultation recommendation standard information associates information in a range of one or more index values indicating that the patient is suffering from or is likely to have the predetermined disease with the disease-specific information of the predetermined disease. Including information
The health condition information receiving unit receives the health condition information including the one or more index values, and receives the health condition information.
When the index value included in the health condition information is within the range of the index value associated with the predetermined disease included in the consultation recommendation standard information, the consultation recommendation target person extraction unit said. The health care target person is extracted as the consultation recommended person, and the predetermined disease associated with the range of the index value is specified as the predetermined disease that the consultation recommended person is suffering from or may have. It is preferable to do so.

According to the present invention, health management is performed when the index value included in the health condition information is within the range of the index value associated with a predetermined disease included in the consultation recommendation standard information by the consultation recommendation target person extraction unit. The subject is extracted as a person to be recommended for consultation, and a predetermined disease associated with the range of the index value is specified as a predetermined disease that the person to be recommended for consultation is affected by or may be affected by.

As a result, based on the specific value that the index value included in the health condition information is the index value associated with the predetermined disease included in the consultation recommendation standard information, there is a possibility that the person to be recommended for consultation is affected or not. It is possible to accurately identify a certain disease and send consultation recommendation information.

Therefore, it is possible to accurately identify the disease to be treated by the person who is recommended to receive medical treatment, appropriately grasp the medical condition of the disease, and effectively recommend the person who is recommended to receive medical treatment.

As described above, according to the present invention, it is possible to appropriately grasp the consultation status of the disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

In the consultation recommendation system of the present invention
A dispensing information receiving unit that receives dispensing information including information on medicines prescribed at the time of consultation at the medical institution, and a dispensing information receiving unit.
Based on the information on the drug included in the dispensing information, a period estimation unit for estimating the period until the prescribed drug is used up or the date when the prescribed drug is used up is provided.
In the consultation recommendation information transmission unit, for the consultation recommendation target person whose consultation recommendation level is a level that requires multiple consultations at the medical institution, the period after the drug is prescribed is the period estimation unit. The period estimated by It is preferable that the consultation recommendation information is retransmitted to the consultation recommendation target person who has not been re-determined as having done so.

According to the present invention, the period until the prescribed drug is used up or the date when the prescribed drug is used up is estimated based on the information of the drug prescribed at the time of consultation at a medical institution. For those who are recommended to have a medical examination at a level that requires multiple medical examinations at a medical institution, those who are recommended to have a medical examination are not re-determined as having received a medical examination even though the estimated period or the estimated date has passed. The consultation recommendation information is resent to the person.

Therefore, it is necessary to properly grasp the consultation status for diseases that should be treated, and effectively recommend consultations to those who are recommended to receive medical treatments who need to continue to receive medical treatment at medical institutions and receive prescriptions for medicines. Can be done.

As described above, according to the present invention, it is possible to appropriately grasp the consultation status of the disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

In the consultation recommendation system of the present invention
A progress information output unit that outputs information included in the progress information is provided.
The progress information output unit transmits the number of the consultation recommendation target persons who have transmitted the consultation recommendation information and the consultation recommendation information for each disease in which the consultation recommendation target person is affected or may be affected. It is preferable that the number of persons who are recommended to receive a medical examination and the number of persons who are recommended to undergo a medical examination, which are determined to have undergone a medical examination at the medical institution, are output.

The person in charge of managing the health of the person recommended for consultation has a need to manage the progress of the recommendation for consultation.

According to the present invention, the progress information output unit outputs the number of people recommended for consultation for each disease and the number of people recommended for consultation at a medical institution, so that the health of the people recommended for consultation can be determined. The person in charge of management can easily manage the progress of the consultation recommendation.

As a result, it is possible to appropriately grasp the progress of the consultation regarding the disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

As described above, according to the present invention, it is possible to appropriately grasp the consultation status of the disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

The block diagram which shows the whole picture of the consultation recommendation system of this invention. The figure which shows the content of the data used for processing by the consultation recommendation system of this invention. The figure which shows the content of the data used for processing by the consultation recommendation system of this invention. The figure which shows the content of the data used for processing by the consultation recommendation system of this invention. The flowchart which shows the processing content of the consultation recommendation system of this invention. The flowchart which shows the processing content of the consultation recommendation system of this invention. The flowchart which shows the processing content of the consultation recommendation system of this invention. The flowchart which shows the processing content of the consultation recommendation system of this invention. The figure which shows the output content of the consultation recommendation system of this invention.

<Structure of consultation recommendation system>
First, the configuration of the consultation recommendation system of the present embodiment will be described with reference to FIG. The same components may be designated by the same reference numerals and description thereof may be omitted.

The consultation recommendation system of the present embodiment is a system that recommends a consultation at a medical institution to a person subject to health management, and includes a server 10, an administrator device 30, and a consultation recommendation target device 50. It is composed. Alternatively, it may further include a medical institution device 70 and a dispensing pharmacy device 90.

The server 10 and the administrator device 30, the medical examination recommendation target device 50, the medical institution device 70, and the dispensing pharmacy device 90 are connected to each other so as to be able to communicate with each other by a communication network NW such as an Internet communication network. The server 10, the administrator device 30, the consultation recommendation target device 50, the medical institution device 70, and the dispensing pharmacy device 90 may all be plural.

The server 10 is a computer including a server control unit 110 and a server storage unit 150.

The server control unit 110 is composed of an arithmetic processing unit such as a CPU (Central Processing Unit), a memory, an I / O (Input / Output) device, and the like. The server control unit 110 reads and executes a predetermined program, for example, by reading and executing a predetermined program, for example, a health condition information receiving unit 111, a consultation recommendation target person extraction unit 113, a consultation recommendation information transmission unit 115, a progress information creation unit 117, and a consultation information receiving unit 119. , It functions as a consultation presence / absence determination unit 121, or further functions as a consultation recommendation level determination unit 123, a dispensing information receiving unit 125, a health condition estimation unit 127, and a period estimation unit 129.

The health condition information receiving unit 111 receives the health condition information which is the information of the test result regarding the health condition of the health management subject.

The consultation recommendation target person extraction unit 113 extracts the consultation recommendation target person for a predetermined disease from the health management target person based on the health condition information and the consultation recommendation standard information.

The consultation recommendation information transmission unit 115 transmits the consultation recommendation information for recommending consultation for a predetermined disease at a medical institution to the consultation recommendation target person. In addition, the consultation recommendation information transmission unit 115 retransmits the consultation recommendation information to the consultation recommendation target person who has not been determined by the consultation presence / absence determination unit 121 to have received a consultation for a predetermined disease at the medical institution.

The progress information creation unit 117 creates progress information in which the information for identifying the consultation recommendation target person who has sent the consultation recommendation information and the disease identification information for identifying a predetermined disease are associated with each other and stores the progress information in the server storage unit 150. Let me.

The consultation information receiving unit 119 receives the consultation information including the information of the disease diagnosed at the time of the consultation, which is the information indicating that the consultation is received at the medical institution after the consultation recommendation information is transmitted.

The consultation presence / absence determination unit 121 receives a consultation when the consultation information includes a predetermined disease indicated by the disease identification information stored in association with the consultation recommendation target person based on the progress information and the consultation information. It is determined that the recommended person has undergone a medical examination for a predetermined disease at a medical institution.

The consultation recommendation level determination unit 123 determines the consultation recommendation level of the consultation recommendation target person based on the health condition information, and stores the determined consultation recommendation level in the server storage unit 150 in association with the consultation recommendation target person.

The dispensing information receiving unit 125 receives dispensing information including information on the medicines prescribed by the person recommended for consultation at the time of consultation at a medical institution.

The health condition estimation unit 127 estimates the health condition of the person recommended for consultation at the time of consultation at a medical institution based on the information on the drug included in the dispensing information.

The period estimation unit 129 estimates the period until the prescribed drug is used up or the date when it is used up, based on the drug information included in the dispensing information.

The server storage unit 150 is composed of a storage device such as an HDD (Hard Disk Drive). The server storage unit 150 stores, for example, information necessary for processing the consultation recommendation of the present embodiment, in addition to the consultation recommendation standard information DB (database) 151 and the progress information DB 153.

The consultation recommendation standard information DB 151 stores the consultation recommendation standard information which is a criterion for determining whether or not to recommend a consultation for a predetermined disease to a health care subject. As shown in FIG. 2A, for example, the consultation recommendation standard information includes information in a range of one or more index values indicating that the patient has or is likely to have a predetermined disease, and the disease identification of the predetermined disease. The disease name as information and the disease name are stored in association with each other, and at the same time, information on the consultation recommendation level corresponding to the index value is also stored.

In FIG. 2A, only "2" is set as the consultation level that requires a plurality of consultations, but for example, a more subdivided consultation level may be set according to the level of the index value.

Progress information is stored in the progress information DB 153. The progress information includes, for example, as shown in FIG. 2B, the ID of the person to be recommended for consultation as information for identifying the person to be recommended for consultation, the name of a predetermined disease that is affected or may be affected, and the consultation for the disease. The recommendation level, the transmission date of the consultation recommendation information, the judgment result of the presence or absence of consultation, and the judgment date when the judgment is made are stored in association with each other.

The manager device 30 is, for example, a computer used by a person in charge of an organization that manages the health of a person subject to health management. The administrator device 30 includes an administrator device control unit 310.

The administrator device control unit 310 is composed of an arithmetic processing unit such as a CPU, a memory, and the control unit is an arithmetic processing unit such as a CPU (Central Processing Unit), a memory, an I / O device, and the like. The administrator device control unit 310 functions as, for example, a progress information output unit 311 by reading and executing a predetermined program.

The progress information output unit 311 indicates the number of medical treatment recommendation target persons who have sent the medical examination recommendation information and the consultation recommendation target persons who have sent the medical examination recommendation information for each disease in which the medical examination recommendation target person is affected or may be affected. Among them, the number of persons to be recommended for consultation, which is determined to have been examined at a medical institution, is output by displaying it on a display provided in the administrator device 30 or the like.

The consultation recommendation target person device 50 is, for example, a smartphone or other mobile phone, a tablet terminal, or a personal computer used by the consultation recommendation target person.

The medical institution device 70 is a computer provided in the medical institution, and the dispensing pharmacy device 90 is a computer provided in the dispensing pharmacy.

<Outline of processing>
<Health status information reception processing>
Next, a series of processes by the consultation recommendation system will be described with reference to FIGS. 3A to 6. The series of processes is started by the process of receiving the health status information by the health status information receiving unit 111 (FIG. 3A / S110). The health condition information is, for example, the result of a regular examination of a person subject to health management, and includes one or more index values stored in association with a disease in the above-mentioned consultation recommendation standard information.

<Extraction process for people recommended for consultation>
Then, the consultation recommendation target person extraction unit 113 executes the consultation recommendation target person extraction process (FIG. 3A / S130). When the consultation recommendation target person extraction process is started, the consultation recommendation target person extraction unit 113 first recognizes the index value for each health management target person included in the health condition information (FIG. 4 / S131).

More specifically, the consultation recommendation target person extraction unit 113 refers to the consultation recommendation standard information and recognizes which index value should be acquired from the health condition information. In the following, the case where the treatment is performed based on the value of "fasting blood glucose" for "diabetes" will be described.

That is, for example, the consultation recommendation target person extraction unit 113 recognizes that the fasting blood glucose value of the health management target person is “120”. Subsequently, the consultation recommendation target person extraction unit 113 acquires the range of the index value from the consultation recommendation standard information (FIG. 4 / S133).

That is, in this case, the consultation recommendation target person extraction unit 113 sets the consultation recommendation level as "1. Motivation", "100 or more and less than 126", as the range of "fasting blood glucose" for "diabetes". Acquires two of "126 or more", which is "2. Multiple consultations are required".

Then, since the index value included in the health condition information is within the range of the index value of the diabetic disease (Fig. 4 / S135: Yes), the consultation recommendation target person extraction unit 113 targets this health management target person for consultation. (Fig. 4 / S137), and "diabetes" associated with the range of the index value is specified as a disease that the health care subject is suffering from or may be suffering from (FIG. 4). / S139).

The consultation recommendation target person extraction unit 113 performs these processes for each index value of each disease for each health management target person included in the health condition information. If the index value included in the health condition information is not within the range of the index value of the diabetic disease (FIG. 4 / S135: No), the consultation recommendation target person extraction unit 113 performs the processing of S137 and S139. Do not execute.

<Recommended consultation level determination process>
After that, the consultation recommendation level determination unit 123 recommends each consultation recommendation target person extracted in the consultation recommendation target person extraction process for each disease that the health care target person is suffering from or may be suffering from. Determine the level (Fig. 3A / S150).

In the above example, since the fasting blood glucose level is "120", the consultation recommendation level determination unit 123 determines the consultation recommendation level of the person concerned with diabetes as "1. Motivation".

If the person to be recommended for consultation corresponds to different consultation recommendation levels based on a plurality of index values for the same disease, the consultation recommendation level determination unit 123, for example, sets a higher consultation recommendation level to the consultation of the person to be recommended for consultation. Determined as a recommendation level.

The consultation recommendation level determination unit 123 stores the determined consultation recommendation level in the server storage unit 150 by the progress information creation unit 117, for example, in the progress information creation process described later.

<Send processing of consultation recommendation information>
Then, the consultation recommendation information transmission unit 115 transmits the consultation recommendation information to the reception recommendation target person (FIG. 3A / S170). That is, for example, the consultation recommendation information transmission unit 115 acquires the e-mail address of each consultation recommendation target person recorded in advance in the server storage unit 150, and sets the index value and the index value included in the medical examination information, for example. Based on this, the person who is recommended to receive a medical examination should write an e-mail containing the name of the disease that is or may be affected by the person who is recommended to receive the medical examination, and include the content that encourages the person to be examined at a medical institution for the disease. It is transmitted to the device 50 of the person who is recommended to receive medical examination.

At this time, if the same consultation recommendation target person is the target of transmission of consultation recommendation information for a plurality of diseases, the consultation recommendation information transmission unit 115 may transmit consultation recommendation information for each disease. A single consultation recommendation information may be used to recommend consultations for the plurality of diseases.

Those who receive the consultation recommendation information receive medical treatment at a medical institution as appropriate, and receive prescriptions for medicines as necessary.

<Progress information creation process>
Next, the progress information creation unit 117 creates progress information and stores it in the server storage unit 150 (FIG. 3A / S190).

More specifically, the progress information creation unit 117 acquires the consultation recommendation level for each disease of each consultation recommendation person determined by the consultation recommendation level determination unit 123, and sends the consultation recommendation information to the consultation recommendation target person. Progress information that associates the subject ID, the name of the disease identified as a disease that the subject recommended for consultation is affected by or is likely to be affected, the recommended level of consultation, and the date of transmission of the recommended consultation information. It is created and stored in the server storage unit 150.

Up to this point, a series of processes related to the first consultation recommendation information for the consultation recommendation target person is performed. The consultation recommendation system of the present embodiment repeats the series of processes up to this point every time health condition information is provided from, for example, an institution that has performed a regular checkup.

<Consultation information reception processing>
After that, the consultation information receiving unit 119 receives the consultation information from, for example, the medical institution device 70 (FIG. 3B / S210). The consultation information is, for example, a so-called "medical receipt" created by a medical institution when a person who is recommended to receive a medical examination visits a medical institution. It includes information such as the name of the disease and the date of consultation as information on the disease.

<Dispensing information reception processing>
Further, the dispensing information receiving unit 125 receives dispensing information from, for example, the dispensing pharmacy device 90 (FIG. 3B / S230). Dispensing information is, for example, a so-called "dispensing receipt" created by a dispensing pharmacy based on a prescription prescribed when a person who is recommended to receive a medical examination visits a medical institution. It contains information such as the name, quantity, usage, dosage, and date of prescription of the medicine that was sometimes prescribed.

<Health condition estimation process>
Subsequently, the health condition estimation unit 127 estimates the health condition of the person recommended for consultation at the medical institution based on the information on the drug included in the dispensing information (FIG. 3B / S250).

More specifically, as shown in FIG. 2C, for example, a correspondence table in which information specifying the drug such as a drug name is associated with the disease to be prescribed, the severity of the disease, and the recommended consultation level. Is stored in the server storage unit 150 in advance. Then, the health condition estimation unit 127 refers to the corresponding table and acquires the disease associated with the drug information included in the dispensing information and the severity of the disease.

In this way, the health condition estimation unit 127 estimates, for example, that the health condition of the person recommended for consultation at the time of consultation at a medical institution is, for example, "diabetes" is "severity: high". At the same time, the health condition estimation unit 127 recognizes that the recommended consultation level in that case is "2. Multiple consultations are required".

<Re-decision process for recommended consultation level>
Then, the consultation recommendation level determination unit 123 redetermines the consultation recommendation level (FIG. 3B / S270). In the above example, the consultation recommendation level determination unit 123 redetermines the consultation recommendation level of the person concerned with diabetes to "2. Multiple consultations are required".

In addition, when the consultation recommendation target person corresponds to different consultation recommendation level based on a plurality of index values for the same disease, the consultation recommendation level determination unit 123, for example, sets a higher consultation recommendation level to the consultation of the consultation recommendation target person. Re-determine as a recommendation level.

The consultation recommendation system of the present embodiment executes the health condition estimation process and the consultation recommendation level redetermination process for each disease of each consultation recommendation target person included in the consultation information.

<Consultation judgment processing>
Prior to the execution of the consultation presence / absence determination process, the consultation presence / absence determination unit 121 first acquires the progress information stored in the server storage unit 150, reads the first record, and the consultation recommendation target person and the disease to be processed. And recognize the recommended level of consultation for the disease.

Then, when the recognized consultation recommendation level is a consultation recommendation level that requires multiple consultations (FIG. 3B / S310: Yes), processing is performed when the consultation recommendation level requires multiple consultations (FIG. 3B / S310: Yes). S400) is executed, and the process will be described later.

On the other hand, when the recognized consultation recommendation level is not the consultation recommendation level that requires multiple consultations (FIG. 3B / S310: No), the consultation presence / absence determination unit 121 determines whether or not the consultation recommendation person has consulted for a predetermined disease. (Fig. 3B / S330).

That is, for example, the consultation presence / absence determination unit 121 refers to the consultation information regarding the consultation recommendation target person to be processed, and when the disease name of the disease to be processed is included in the consultation information, the consultation recommendation target person is medically treated. It is determined that the institution has consulted for the disease.

Then, when the determination is negative (FIG. 3B / S330: No), the consultation presence / absence determination unit 121 further determines whether or not a predetermined period has elapsed since the consultation recommendation information was transmitted (FIG. FIG. 3B / S350).

More specifically, the consultation presence / absence determination unit 121 includes, for example, the consultation recommendation level stored in the server storage unit 150, the length of the period from the transmission of the consultation recommendation information to the re-transmission of the consultation recommendation information. Recognize the length of the period until the consultation recommendation information is retransmitted (for example, "2 months") associated with the consultation recommendation level recognized above by referring to the correspondence table associated with. ..

Then, the consultation presence / absence determination unit 121 refers to the progress information, acquires the transmission date of the consultation recommendation information regarding the disease to be processed, and recognizes the period from the transmission of the consultation recommendation information to the consultation recommendation target person to the present. If the recognized period is longer than the length of the period until re-transmission, it is determined that a predetermined period according to the consultation recommendation level has passed since the consultation recommendation information was transmitted (Fig.). 3B / S350: Yes).

As a result, in the subsequent consultation recommendation information re-transmission process, the length of the period from the transmission of the consultation recommendation information by the consultation recommendation information transmission unit 115 to the re-transmission of the consultation recommendation information is determined by the consultation recommendation level determination unit 123. It depends on the consultation recommendation level determined by.

<Retransmission of consultation recommendation information>
Then, when it is determined by the consultation recommendation information transmission unit 115 that a predetermined period has passed since the consultation recommendation information was transmitted by the consultation presence / absence determination unit 121 (FIG. 3B / S350: Yes), the consultation recommendation information Is retransmitted (FIG. 3B / S370). The content of the consultation recommendation information to be retransmitted may be the same as the content at the time of the previous transmission, or may include, for example, new information for further encouraging the consultation at a medical institution.

<Processing when the consultation recommendation level requires multiple consultations>
In the above-mentioned consultation presence / absence determination process, the process is executed when the consultation recommendation level recognized by the consultation presence / absence determination unit 121 is a consultation recommendation level that requires a plurality of consultations (FIG. 3B / S310: Yes).

When the process is started, first, the consultation presence / absence determination unit 121 determines whether or not the person to be treated is recommended to receive a medical examination at the medical institution since the last time it was determined that the medical institution had a medical examination. Is determined (FIG. 5 / S410).

That is, for example, the consultation presence / absence determination unit 121 first refers to the progress information and acquires the "determination date" of the treatment target person for the consultation recommendation target for the disease to be processed. Here, if the consultation presence / absence determination unit 121 can obtain the determination date, it means that the person to be treated is determined to have received a medical examination for the disease to be treated at least once.

Then, the consultation presence / absence determination unit 121 indicates that if the consultation date for the disease to be processed by the consultation recommendation target person included in the consultation information is after the determination date, the consultation recommendation target person is the disease to be processed at the medical institution. It is judged again that the patient has been examined.

If the determination is negative (FIG. 5 / S410: No), the consultation presence / absence determination unit 121 determines whether or not the period since the previous determination that the patient has undergone a consultation has passed a predetermined predetermined period. (Fig. 5 / S430).

That is, for example, in the consultation presence / absence determination unit 121, the period from the “judgment date” acquired above to the current date is the length of the period until the “consultation recommendation information is retransmitted” recognized in the consultation presence / absence determination process. If it is more than or equal to that, it is determined that the period since the previous determination that the patient has undergone a medical examination has passed a predetermined predetermined period.

If the determination is affirmative (FIG. 5 / S430: Yes), the consultation recommendation information transmission unit 115 retransmits the consultation recommendation information (FIG. 5 / S490).

<Period estimation processing>
In addition, when the period estimation unit 129 redetermines in S410 that the person to be recommended for consultation has received a medical examination for the disease to be treated at a medical institution (FIG. 5 / S410: Yes), the period estimation unit 129 prescribes the disease to be treated. Estimate the period until the drug is used up (Fig. 5 / S450).

More specifically, for example, the period estimation unit 129 determines the quantity of medicines prescribed for the disease to be treated by the person to be recommended for consultation, which is included in the dispensing information, and the usage of the medicines included in the dispensing information. The value obtained by dividing by the number of doses per day derived from the dose, that is, the number of days until the drug is used up is calculated, and the number of days is estimated to be the period until the prescribed drug is used up. Alternatively, the period estimation unit 129 estimates that the date obtained by adding the period to the date on which the drug is prescribed is the date on which the prescribed drug is used up.

After that, the consultation presence / absence determination unit 121 determines whether or not the period until the prescribed drug is used up has passed (FIG. 5 / S470).

That is, for example, the consultation presence / absence determination unit 121 acquires the date on which the drug is prescribed, which is included in the dispensing information, and the period until the prescribed drug is used up, which is estimated in the period estimation process. Then, if the current date is a date after the date obtained by adding the period to the acquired date, the consultation presence / absence determination unit 121 will use the drug prescribed for the disease to be treated, etc. Is determined to have passed.

Alternatively, for example, in the period estimation process, when the date when the prescribed drug is used up is estimated, if the current date is a date after the estimated date, the drug prescribed for the disease to be treated It is judged that the period until the use of is used up has passed.

Then, when the determination is affirmative (FIG. 5 / S470: Yes), the consultation recommendation information transmission unit 115 retransmits the consultation recommendation information (FIG. 5 / S490).

The consultation recommendation system of the present embodiment executes the processes from S310 to S490 for each disease associated with each consultation recommendation target person based on the information stored in the progress information.

<Progress information update process>
After that, the progress information creation unit 117 updates the progress information and stores it in the server storage unit 150 (FIG. 3B / S500), and the series of processes is completed. That is, for example, the progress information creation unit 117 reflects the addition, change, etc. of the consultation recommendation level, the resend date of the consultation recommendation information, the presence / absence of consultation, the judgment date, etc. in each record of the progress information. Alternatively, a new record is added to the progress information.

From the consultation information reception process to this point, a series of processes related to the retransmission of consultation recommendation information. The consultation recommendation system of the present embodiment repeatedly executes these series of processes periodically or irregularly.

<Progress information output processing>
The progress information output unit 311 of the administrator device 30 acquires progress information from the server storage unit 150 of the server 10 in response to an operation on the administrator device, and as shown in FIG. The number of people who are recommended to receive medical examinations for each disease that they have or are likely to have, and the number of people who are recommended to receive medical examinations who have sent information on recommended medical examinations. The number of subjects and information on the consultation rate are displayed on the display provided in the administrator device 30, or are output by printing with a printer or the like.

The progress information output process may be executed at an arbitrary timing after the progress information is created.

As described above, according to the present invention, it is possible to appropriately grasp the consultation status of a disease to be treated and effectively recommend the consultation to the person who is recommended to receive the consultation.

The embodiments of the present invention have been described above, but the present invention is not limited thereto. Various modifications can be made without departing from the spirit of the present invention.

For example, a part of the processing executed by the server 10 in the above may be executed by the administrator device 30. Further, any process and configuration may be omitted or the order of the processes may be changed as long as the effect of the present invention is not impaired.

Alternatively, for example, in the above, the embodiment in which the consultation recommendation level is recorded in the progress information has been described, but the present invention is not limited to this. That is, for example, the consultation recommendation level determination unit 123 may be configured to associate the consultation recommendation level with the consultation recommendation target person and store them in the server storage unit 150 separately from the progress information.

Alternatively, in the above, the health condition estimation unit 127 has described the configuration for estimating the health condition of the person to be recommended for consultation from the drug name using the correspondence table, but the present invention is not limited to this. That is, for example, the health condition estimation unit 127 uses a discriminator that inputs the name of the drug and the prescribed amount contained in the prescription information and outputs the health condition of the person recommended for consultation to output the health condition of the person recommended for consultation. May be estimated.

Further, for example, the medical institution device 70 may provide the consultation information and the dispensing pharmacy device 90 may provide the dispensing information to the server 10 via a recording medium. In this case, the server 10 and the medical institution device 70 and the dispensing pharmacy device 90 do not have to be connected to each other so as to be able to communicate with each other.

111 ... Health status information receiving unit, 113 ... Consultation recommendation target person extraction unit, 115 ... Consultation recommendation information transmission unit, 117 ... Progress information creation unit, 119 ... Consultation information receiving unit, 121 ... Consultation presence / absence judgment unit, 123 ... Consultation recommendation Level determination unit, 125 ... Dispensing information receiving unit, 127 ... Health status estimation unit, 129 ... Period estimation unit, 150 ... Server storage unit, 311 ... Progress information output unit.

Claims (5)

It is a system that encourages people subject to health care to visit a medical institution.
A storage unit that stores information on consultation recommendation criteria, which is a criterion for determining whether or not to recommend consultations for certain diseases to health care recipients.
A health condition information receiving unit that receives health condition information, which is information on test results related to the health condition of the person subject to health management, and a health condition information receiving unit.
Based on the health condition information and the consultation recommendation standard information, a consultation recommendation target person extraction unit that extracts a consultation recommendation target person for the predetermined disease from the health management target person, and a consultation recommendation target person extraction unit.
A consultation recommendation level determination unit that determines the consultation recommendation level of the consultation recommendation target person based on the health condition information and stores the determined consultation recommendation level in the storage unit in association with the consultation recommendation target person.
A consultation recommendation information transmission unit that transmits consultation recommendation information for recommending consultation for the predetermined disease at the medical institution to the consultation recommendation target person, and a consultation recommendation information transmission unit.
A progress information creation unit that creates progress information in which the information that identifies the person to be recommended for consultation to which the consultation recommendation information is transmitted and the disease identification information that identifies the predetermined disease are associated with each other and stored in the storage unit. ,
Receives consultation information indicating that the consultation recommendation target person has received a consultation at the medical institution after transmitting the consultation recommendation information, including information on a disease diagnosed by the consultation recommendation target person at the time of consultation. With the consultation information receiver
When the consultation information includes the predetermined disease indicated by the disease specific information stored in association with the consultation recommendation target person based on the progress information and the consultation information, the consultation recommendation is made. It is provided with a consultation presence / absence determination unit for determining that the subject has consulted for the predetermined disease at the medical institution.
The consultation recommendation target person whose consultation recommendation level is a level that requires multiple consultations at the medical institution, and the consultation recommendation target person who is determined to have consulted at the medical institution at least once. ,
Based on the consultation information received since the last time it was determined that the patient had a medical examination at the medical institution, the medical examination presence / absence determination unit re-checks whether or not the medical institution recommended person has a medical examination. It is configured to judge and
The consultation recommendation information transmitting unit has passed a predetermined period for which a predetermined period has passed since the previous determination that the consultation was made at the medical institution, and the consultation presence / absence determination unit receives a consultation at the medical institution. A consultation recommendation system characterized in that the consultation recommendation information is retransmitted to the consultation recommendation target person who has not been re-determined as having done so. It is a system that encourages people subject to health care to visit a medical institution.
A storage unit that stores information on consultation recommendation criteria, which is a criterion for determining whether or not to recommend consultations for certain diseases to health care recipients.
A health condition information receiving unit that receives health condition information, which is information on test results related to the health condition of the person subject to health management, and a health condition information receiving unit.
Based on the health condition information and the consultation recommendation standard information, a consultation recommendation target person extraction unit that extracts a consultation recommendation target person for the predetermined disease from the health management target person, and a consultation recommendation target person extraction unit.
A consultation recommendation level determination unit that determines the consultation recommendation level of the consultation recommendation target person based on the health condition information and stores the determined consultation recommendation level in the storage unit in association with the consultation recommendation target person.
A consultation recommendation information transmission unit that transmits consultation recommendation information for recommending consultation for the predetermined disease at the medical institution to the consultation recommendation target person, and a consultation recommendation information transmission unit.
A progress information creation unit that creates progress information in which the information that identifies the person to be recommended for consultation to which the consultation recommendation information is transmitted and the disease identification information that identifies the predetermined disease are associated with each other and stored in the storage unit. ,
Receives consultation information indicating that the consultation recommendation target person has received a consultation at the medical institution after transmitting the consultation recommendation information, including information on a disease diagnosed by the consultation recommendation target person at the time of consultation. With the consultation information receiver
A dispensing information receiving unit that receives dispensing information including information on medicines prescribed at the time of consultation at the medical institution, and a dispensing information receiving unit.
Based on the information on the drug included in the dispensing information, a health condition estimation unit that estimates the health condition of the person recommended for consultation at the time of consultation at the medical institution, and a health condition estimation unit.
When the consultation information includes the predetermined disease indicated by the disease specific information stored in association with the consultation recommendation target person based on the progress information and the consultation information, the consultation recommendation is made. It is provided with a consultation presence / absence determination unit for determining that the subject has consulted for the predetermined disease at the medical institution.
The consultation recommendation level determination unit is configured to redetermine the consultation recommendation level based on the health condition estimated by the health condition estimation unit.
The consultation recommendation information transmission unit is configured to retransmit the consultation recommendation information to the consultation recommendation target person who has not been determined by the consultation presence / absence determination unit to have received a consultation for the predetermined disease at the medical institution. In addition, the length of the period from the transmission of the consultation recommendation information to the re-transmission of the consultation recommendation information is different depending on the determined consultation recommendation level. <br /> Consultation recommendation system. In the consultation recommendation system according to claim 1 or 2,
The consultation recommendation standard information associates information in a range of one or more index values indicating that the patient is suffering from or is likely to have the predetermined disease with the disease-specific information of the predetermined disease. Including information
The health condition information receiving unit receives the health condition information including the one or more index values, and receives the health condition information.
When the index value included in the health condition information is within the range of the index value associated with the predetermined disease included in the consultation recommendation standard information, the consultation recommendation target person extraction unit said. The health care target person is extracted as the consultation recommended person, and the predetermined disease associated with the range of the index value is specified as the predetermined disease that the consultation recommended person is suffering from or may have. A consultation recommendation system characterized by doing. In the consultation recommendation system according to any one of claims 1 to 3,
A dispensing information receiving unit that receives dispensing information including information on medicines prescribed at the time of consultation at the medical institution, and a dispensing information receiving unit.
Based on the information on the drug included in the dispensing information, a period estimation unit for estimating the period until the prescribed drug is used up or the date when the prescribed drug is used up is provided.
In the consultation recommendation information transmission unit, for the consultation recommendation target person whose consultation recommendation level is a level that requires multiple consultations at the medical institution, the period after the drug is prescribed is the period estimation unit. The period estimated by A consultation recommendation system, characterized in that the consultation recommendation information is retransmitted to the consultation recommendation target person who has not been re-determined as having done so. In the consultation recommendation system according to any one of claims 1 to 4,
A progress information output unit that outputs information included in the progress information is provided.
The progress information output unit transmits the number of the consultation recommendation target persons who have transmitted the consultation recommendation information and the consultation recommendation information for each disease in which the consultation recommendation target person is affected or may be affected. A consultation recommendation system characterized in that it is configured to output the number of consultation recommendation targets who are determined to have undergone a consultation at the medical institution among the consultation recommendation targets.

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