Information processing system, information processing device, information processing method, and program

Abstract

To efficiently encourage early examination of cerebrovascular disease.SOLUTION: An information processing system comprises: an examination information acquisition unit that acquires examination information indicating a detection result of cerebral aneurysm related genes based on a gene examination of a user; a health record information acquisition unit that acquires health record information; a subsidy information acquisition unit that acquires subsidy information for an examination or a diagnosis; a presentation information acquisition unit that acquires presentation information on the basis of a fact that the cerebral aneurysm related gene is detected; a retrieval unit that retrieves information of a nearby hospital in which there is a medical doctor having medical specialist qualification of brain surgery, radiology or brain blood vessel medical treatment, on the basis of the health record information; and an output unit that outputs output information including the presentation information, information of the nearby hospital and the subsidy information.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to an information processing system, an information processing apparatus, an information processing method, and a program.

Background Art

[0002] Medical records and test results were stored and managed only as medical charts (medical records) in the medical institutions where the medical treatment was received. Also, medication records such as prescription drugs at dispensing pharmacies and medical records at other medical institutions were stored and managed at their respective pharmacies, medical institutions, etc. In recent years, as an effort utilizing ICT (Information and Communication Technology), an effort has begun to aggregate medical records and medication records managed by each medical institution into one. Such an effort is, for example, a PHR (Personal Healthcare record).

[0003] For example, Patent Document 1 discloses a medical information sharing server including a business operator database for recording business operator information of a plurality of business operators providing medical and welfare-related goods and services, and a user database for recording user information of users using the goods and services of the business operators in association with identification information, a business operator information processing terminal, and the business operator includes a medical institution, the medical information sharing server includes a management server for managing the operation of the business operator information processing terminal, the management server and the medical institution terminal which is the information processing terminal of the medical institution function an electronic medical record system in a client environment with the medical institution terminal as a sink client terminal, the electronic medical record system records an electronic medical record containing examination information and prescription details when examining a user as user information in the user database, and discloses a medical system capable of referring to and displaying user information of the same user recorded in the user database.

Prior Art Documents

Patent Documents

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-123106 [Overview of the Initiative] [Problems that the invention aims to solve]

[0005] Incidentally, for cerebrovascular diseases such as cerebral aneurysms, early detection and treatment greatly affect the patient's prognosis. For the early detection of cerebrovascular diseases, it is preferable to undergo examinations such as brain checkups. Generally, the cost of brain checkups is not covered by insurance and is often high. Increasingly, local governments and health insurance organizations are providing subsidies to help cover part of the cost of examinations such as brain checkups in order to promote their use.

[0006] However, while Patent Document 1 allows for the integrated management of medical records, it does not allow for the tracking of examination costs, the availability of subsidies for examinations and diagnoses, or the amount of subsidies. To track examination costs, the availability of subsidies for examinations and diagnoses, and the amount of subsidies, users undergoing examinations had to check each one individually. As a result, user convenience was insufficient, and there was a problem in that it could not efficiently promote early screening for cerebrovascular diseases.

[0007] In view of the above-mentioned problems, the object of the present invention is to provide an information processing system, an information processing device, an information processing method, and a program that can efficiently promote early detection of cerebrovascular diseases. [Means for solving the problem]

[0008] To solve the above-mentioned problems, an information processing system according to one aspect of the present invention includes: an examination information acquisition unit that acquires examination information indicating the detection results of cerebral aneurysm-related genes by a user's genetic test; a health record information acquisition unit that acquires health record information; a subsidy information acquisition unit that acquires subsidy information for examinations or diagnoses; a presentation information acquisition unit that acquires presentation information based on the detection of the cerebral aneurysm-related genes; a search unit that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information; and an output unit that outputs output information including the presentation information, the information on nearby hospitals, and the subsidy information.

[0009] Furthermore, in order to solve the above-mentioned problems, an information processing device according to one aspect of the present invention includes: an examination information acquisition unit that acquires examination information indicating the detection results of cerebral aneurysm-related genes by a user's genetic test; a health record information acquisition unit that acquires health record information; a subsidy information acquisition unit that acquires subsidy information for examinations or diagnoses; a presentation information acquisition unit that acquires presentation information based on the detection of the cerebral aneurysm-related genes; a search unit that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information; and an output unit that outputs output information including the presentation information, the information on nearby hospitals, and the subsidy information.

[0010] Furthermore, in order to solve the above-mentioned problems, an information processing method according to one aspect of the present invention includes: an examination information acquisition process in which the computer of the information processing device acquires examination information indicating the detection results of cerebral aneurysm-related genes by the user's genetic test; a health record information acquisition process in which health record information is acquired; a subsidy information acquisition process in which subsidy information for examinations or diagnoses is acquired; a presentation information acquisition process in which presentation information is acquired based on the detection of the cerebral aneurysm-related genes; a search process in which information of nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular treatment is searched based on the health record information; and an output process in which output output information including the presentation information, the information of nearby hospitals, and the subsidy information.

[0011] Furthermore, in order to solve the above-mentioned problems, a program according to one aspect of the present invention causes the computer of an information processing device to execute: an examination information acquisition step of acquiring examination information indicating the detection results of cerebral aneurysm-related genes by a user's genetic test; a health record information acquisition step of acquiring health record information; a subsidy information acquisition step of acquiring subsidy information for examinations or diagnoses; a presentation information acquisition step of acquiring presentation information based on the detection of the cerebral aneurysm-related genes; a search step of searching for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the health record information; and an output step of outputting output information including the presentation information, the information on nearby hospitals, and the subsidy information. [Effects of the Invention]

[0012] According to the present invention, it is possible to efficiently promote early detection of cerebrovascular diseases. [Brief explanation of the drawing]

[0013] [Figure 1] This is a schematic diagram showing an example of the configuration of an information processing system according to the first embodiment of the present invention. [Figure 2] This is a block diagram showing an example of the configuration of the information processing device according to this embodiment. [Figure 3] This flowchart shows an example of information processing according to this embodiment. [Figure 4] This is an example of a display screen showing an example of the output information according to this embodiment. [Figure 5] This is a block diagram showing an example of the configuration of an information processing device according to a second embodiment of the present invention. [Figure 6] This flowchart shows an example of information processing according to this embodiment. [Figure 7] This is an example of a display screen showing an example of the output information according to this embodiment. [Figure 8] This is an example of a display screen showing another example of the output information according to this embodiment. [Figure 9]This is an example of a display screen showing an example of output information according to this embodiment. [Figure 10] This is an example of a display screen showing another example of output information according to a modification. [Figure 11] This is a block diagram showing an example of the configuration of an information processing apparatus according to the third embodiment of the present invention. [Figure 12] This is a flowchart showing an example of information processing according to this embodiment. [Figure 13] This is an example of a display screen showing an example of output information according to this embodiment.

Mode for Carrying Out the Invention

[0014] <The First Embodiment> Hereinafter, the first embodiment of the present invention will be described in detail with reference to the drawings.

[0015] <Configuration of Information Processing System> Referring to FIG. 1, an information processing system Sys according to this embodiment will be described. FIG. 1 is a schematic diagram showing an example of the configuration of an information processing system Sys according to this embodiment. The information processing system Sys includes an information processing apparatus 1, a test information server 2, a subsidy information server 3, and a health record information server 4. The information processing apparatus 1, the test information server 2, the subsidy information server 3, and the health record information server 4 are interconnected so as to be communicable via a network.

[0016] The test information server 2 is a server device that manages in-hospital information such as medical information, various test records necessary for understanding the patient's condition, past history, doctor's findings, diagnosis, and prescription in an electronic medical record. The test information server 2 is, for example, an EHR (Electronic Health Record), an EMR (Electronic Medical Record), or the like.

[0017] Health record information server 4 is a server device that centrally manages health record information. Health record information includes medical records, test results, and medication records for each patient at various medical institutions. In other words, health record information server 4 manages information from electronic medical records at multiple hospitals for each patient. Health record information server 4 is, for example, a PHR (Personal Healthcare record). Furthermore, the health record information server 4 is a server device that manages health checkup information. Health checkup information includes the location of the medical institution, the name of the medical institution, the medical department, the consultation hours, whether or not there are doctors with specialist qualifications on staff, and the telephone number of the medical institution.

[0018] Furthermore, the information processing system Sys does not necessarily need to have a test information server 2. In this case, the health record information server 4 may perform the functions of the test information server 2. Also, the information processing system Sys does not necessarily need to have a health record information server 4. In this case, the test information server 2 may perform the functions of the health record information server 4. In the following explanation, unless otherwise specified, the case where the health record information server 4 has the functions of the health record information server 2 will be described. Furthermore, the health record information server 4 may have some of the functions of the examination information server 2, or the examination information server 2 may have some or all of the functions of the health record information server 4.

[0019] Subsidy Information Server 3 is a server device that manages information on various subsidies provided by local governments and health insurance organizations for examinations, diagnoses, treatments, etc. For example, the subsidy information server 3 includes server devices operated by each local government, server devices that acquire and manage subsidy information from server devices operated by each local government, server devices operated by each health insurance organization, and server devices that acquire and manage subsidy information from server devices operated by each health insurance organization.

[0020] The information processing device 1 is, for example, a terminal device such as a PC (Personal Computer), a server, a smartphone, or a tablet. The information processing device 1 acquires test information showing the detection results of cerebral aneurysm-related genes from a genetic test of patient P. Detection of cerebral aneurysm-related genes includes detection of mutations in cerebral aneurysm-related genes and detection of genetic polymorphisms. It is particularly preferable that the test information shows the detection results of Single Nucleotide Polymorphism (SNP). The test information may also be information showing the detection results of DNA methylation or histone modification by epigenomic analysis. The information processing device 1 acquires health record information. The information processing device 1 acquires subsidy information for tests or diagnoses. The information processing device 1 acquires presentation information based on the detection of cerebral aneurysm-related genes. The information processing device 1 searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the health record information. The information processing device 1 outputs output information including presentation information, information on nearby hospitals, and subsidy information.

[0021] Here, we will explain genetic testing. Cerebrovascular diseases such as cerebral aneurysms are said to be caused by various factors such as lifestyle habits including smoking and diet. One of these factors is that some cerebrovascular diseases are said to have a genetic component. For example, the genetic component of cerebral aneurysms can be identified by cerebral aneurysm-related gene testing. Cerebral aneurysm-related gene testing is a test that detects mutations in cerebral aneurysm-related genes. Detecting gene mutations means identifying the type of gene. Cerebral aneurysm-related genes include: PLCL1 Examples include ENDRA, SOX17, CBY2, CNNM2, STARD13, NPNT, and RBBP8.

[0022] PLCL1 The gene is responsible for producing an inactive form of phospholipase-like protein. PLCL1 The genes in question are those involved in bone formation. PLCL1 Genes are, PLCL1 Individuals with the AG or GG gene type tend to have a higher genetic risk of developing cerebral aneurysms.

[0023] The ENDRA gene is a gene that produces endothelin receptors, which are involved in sustained vasoconstriction. Individuals with the AC or CC type of the ENDRA gene tend to have a higher genetic risk of developing cerebral aneurysms.

[0024] The SOX17 gene is a gene that produces a type of transcription factor. The SOX17 gene is involved in the control of embryonic development and the determination of cell fate. Individuals with the AA or AG type of the SOX17 gene tend to have a higher genetic risk of cerebral aneurysms.

[0025] The CBY2 gene is primarily found in the testes, according to cDNA library analysis, but is also found to some extent in the brain. Mutations in the CBY2 gene are thought to contribute to the development of cerebral aneurysms by inducing dysfunction of cerebral vascular endothelial cells and smooth muscle cells, respectively.

[0026] The CNNM2 gene is responsible for producing a protein that plays a crucial role in maintaining intracellular magnesium content by being involved in magnesium epithelial transport and renal reabsorption. Individuals with the CNNM2 gene as either the AG or GG type tend to have a higher genetic risk of developing cerebral aneurysms.

[0027] The STARD13 gene is a gene that produces proteins suggested to be involved in cytoskeletal remodeling, cell proliferation, and cell motility. Individuals with the TT or TC genotype of the STARD13 gene tend to have a higher genetic risk of developing cerebral aneurysms.

[0028] The NPNT gene encodes nephronectin, an extracellular matrix protein, and is a functional ligand for integrin α8 / β1, essential for kidney development. It is also thought to be involved in cell adhesion by binding to several integrins. Abnormalities in NPNT have been reported to affect vascular endothelial function and inhibit normal angiogenesis. Mutations in the splice donor site of the NPNT gene are thought to induce dysfunction of cerebral vascular endothelium and smooth muscle cells, contributing to the development of cerebral aneurysms.

[0029] The RBBP8 gene is a gene that produces proteins involved in transcriptional regulation and other processes by binding with other proteins. Individuals with the AC or CC type of the RBBP8 gene tend to have a higher genetic risk of cerebral aneurysms.

[0030] Thus, cerebral aneurysm-related gene testing examines whether or not a person has a high genetic risk of developing a cerebral aneurysm by analyzing the type of cerebral aneurysm-related genes.

[0031] In this way, the information processing device 1, based on test information showing the results of aneurysm-related gene tests, prompts patients to undergo further examinations if they have a high genetic risk of aneurysms, and also presents patients with information on subsidies from local governments and health insurance organizations, as well as information on medical institutions where the tests can be performed. As a result, the information processing device 1 eliminates the need for patients to individually check information such as examination costs, the availability of subsidies for examinations and diagnoses, and the amount of the subsidies. This improves user convenience and efficiently promotes early screening for cerebrovascular diseases.

[0032] <Configuration of the information processing device> Next, the configuration of the information processing device 1 will be explained. Figure 2 is a block diagram showing an example of the configuration of the information processing device 1 according to this embodiment. The information processing device 1 is comprised of a communication unit 110, a control unit 120, a storage unit 130, and an output unit 140.

[0033] <Communications Department 110> The communication unit 110 has the function of sending and receiving various types of information. The communication unit 110 may use either wired or wireless communication. For example, the communication unit 110 receives subsidy information from the subsidy information server 3. The communication unit 110 also receives health record information and health checkup information from the health record information server 4. The communication unit 110 outputs the received information to the control unit 120. The communication unit 110 also transmits the information output from the control unit 120 to the subsidy information server 3 and the health record information server 4.

[0034] <Storage section 130> The storage unit 130 has the function of storing various types of information. The storage unit 130 is composed of a storage medium, such as an HDD (Hard Disk Drive), SSD (Solid State Drive), flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), RAM (Random Access read / write Memory), ROM (Read Only Memory), or any combination of these storage media. The memory unit 130 stores the presented information. The presented information is an alert image that recommends the patient undergo a detailed examination using at least one of the following: cerebral angiography (DSA), CT (Computed Tomography), MRI (Magnetic Resonance Imaging), or MRA (Magnetic Resonance Angiography).

[0035] <Output section 140> The output unit 140 has the function of outputting various types of information. The function of the output unit 140 is realized, for example, by a display device such as a display provided by the information processing device 1. The output unit 140 displays the information input from the control unit 120. Note that the output unit 140 may be an output unit provided by a device other than the information processing device 1.

[0036] <Control Unit 120> The control unit 120 has the function of controlling the overall operation of the information processing device 1. This function is realized, for example, by causing the CPU (Central Processing Unit) provided as hardware in the information processing device 1 to execute a program.

[0037] The control unit 120 will be described in detail. The control unit 120 includes an inspection information acquisition and judgment unit 121, a health record information acquisition unit 122, a subsidy information acquisition unit 123, a presentation information acquisition unit 124, a search unit 125, and an output processing unit 126.

[0038] <Inspection information acquisition / determination unit 121> The test information acquisition and determination unit 121 acquires test information. These tests include, for example, the NIHSS (National Institutes of Healthcare Stroke Scale), online questionnaires, and gene tests related to cerebrovascular diseases. Cerebrovascular diseases include, for example, cerebral aneurysms. The test information acquisition and determination unit 121 acquires test information from the health record information server 4 that shows the detection result of mutations in cerebral aneurysm-related genes, for example, through a gene test related to cerebral aneurysms. The test information acquisition and determination unit 121 refers to the acquired test information and determines whether or not a mutation in a gene related to cerebral aneurysm is detected.

[0039] The test information acquisition and determination unit 121 may acquire test information from the patient's smartphone or other device. For example, the test information acquisition and determination unit 121 may acquire test information by reading a QR code (registered trademark) that allows verification of the test information.

[0040] <Health Record Information Acquisition Unit 122> The health record information acquisition unit 122 acquires health record information. Health record information includes information such as the patient's name, address, gender, date of birth, health insurance information, medical history, physician's findings, test information showing various test results, diagnosis, and medication history. Test results also include medical images. Medical images include, for example, DSA images, CT images, MRI images, and MRA images. The health record information acquisition unit 122 acquires health record information corresponding to the patient's patient ID from the health record information server 4.

[0041] <Subsidy information acquisition department 123> The subsidy information acquisition unit 123 acquires subsidy information. Subsidy information is information on subsidies that have been pre-established by local governments or health insurance organizations to which the patient belongs, in accordance with the examination, diagnosis, and treatment. The subsidy information acquisition unit 123 acquires health insurance information that includes the patient's health record information. Referencing this information, obtain either local government subsidy information or health insurance organization subsidy information from subsidy information server 3.

[0042] <Presentation information acquisition unit 124> The information acquisition unit 124 acquires the information to be presented from the storage unit 130.

[0043] <Search section 125> The search unit 125 obtains health checkup information from the health record information server 4. The search unit 125 refers to the health record information and searches for hospital information in the patient's residential area that has physicians with specialist qualifications in neurosurgery, radiology, stroke, or endovascular treatment. The search unit 125 outputs the search results as information on nearby hospitals to the output processing unit 126.

[0044] <Output processing unit 126> The output processing unit 126 generates output information. The output information includes at least presentation information, information on nearby hospitals, and subsidy information. The output processing unit 126 generates an output image representing the output information and outputs the generated output image to the output unit.

[0045] <Processing flow> Referring to Figure 3, the information processing flow in the information processing system Sys according to this embodiment will be described. Figure 3 is a flowchart showing an example of information processing according to this embodiment. In step S100, the test information acquisition and determination unit 121 acquires test information from the health record information server 4. In step S102, the test information acquisition and determination unit 121 determines whether or not the test information detects a mutation in a gene related to cerebral aneurysms.

[0046] In step S104, if the test information detects a mutation in a cerebral aneurysm-related gene (step S104; YES), the test information acquisition and determination unit 121 executes the process in step S106. On the other hand, if the test information does not detect a mutation in a cerebral aneurysm-related gene (step S104; NO), the test information acquisition and determination unit 121 terminates the process shown in Figure 3. In step S106, the health record information acquisition unit 122 acquires health record information from the health record information server 4.

[0047] In step S108, the subsidy information acquisition unit 123 acquires subsidy information from the subsidy information server 3 based on the health record information. In step S110, the presentation information acquisition unit 124 acquires the presentation information from the storage unit 130. In step S112, the search unit 125 obtains health checkup information from the health record information server 4. Based on the health checkup information and health record information, the search unit 125 searches for information on nearby hospitals.

[0048] In step S114, the output processing unit 126 generates output information that includes presentation information, information on nearby hospitals, and subsidy information. In step S116, the output processing unit 126 causes the generated output information to be output to the output unit.

[0049] <Display screen example> Next, we will explain an example of the display screen. Figure 4 is an example of a display screen showing an example of output information according to this embodiment. The example shown is one in which the output image representing the output information generated by the output processing unit 126 of the information processing device 1 is displayed on the display unit of another terminal device (for example, a tablet terminal) as the output unit 140. Note that the output unit 140 may also display the output image.

[0050] The output image displays the patient's name, "○○□□," and the patient's identification information, "ID:123456." The patient's identification information is linked to the patient's health record information. Furthermore, the output image displays information based on the detection of a mutation in a cerebral aneurysm-related gene, based on the test information acquired by the test information acquisition and determination unit 121. In the illustrated example, the information is displayed as an alert image recommending further testing, such as "Genetic test results" and "Genetic test results show that a mutation in a cerebral aneurysm-related gene has been detected. Further testing is recommended." In this embodiment, "further testing" refers to testing using at least one of DSA, CT, MRI, or MRA.

[0051] The output image also includes information on nearby hospitals. The information on nearby hospitals is a search result obtained by the search unit 125 based on the patient "○〇□□"'s health record information and health checkup information. In the illustrated example, the information on nearby hospitals is displayed as follows: "Hospital Information" "The following hospitals near Mr. / Ms. ○〇□□'s home are available for detailed examinations." "XXXX General Hospital Telephone number 03-1234-5678" "△△ Ward AA Hospital Telephone number 03-23435-6789" "BBBB Clinic Telephone number 03-3456-7890" "CCCC General Health Checkup Center Telephone number 03-4567-8901".

[0052] Information on nearby hospitals is retrieved based on the patient's address, which is determined from their health record information. Hospitals within a specified range from that address are searched as nearby hospitals. The information on nearby hospitals includes the name of the nearby hospital as well as its telephone number. In this embodiment, since the target is cerebrovascular disease based on cerebral aneurysm-related gene testing, the hospitals to be searched are set to be hospitals with physicians who are specialists in neurosurgery, radiology, stroke, or endovascular treatment. This setting may be set by the information processing device 1 according to the type of test, or the physician or patient may set the search targets in advance.

[0053] Furthermore, the output image includes subsidy information. In the illustrated example, it is assumed that patient "○○□□" is enrolled in the National Health Insurance. In this case, the subsidy information for examinations in patient "○○□□"'s place of residence "△△ Ward" will be displayed as follows: "If you undergo a detailed examination at a medical institution within △△ Ward that has an agreement with your △△ Ward, you can receive a subsidy of 20,000 yen once per person per fiscal year (April to March of the following year)." The display will include information such as the amount of the subsidy from the local government and the conditions for receiving the subsidy.

[0054] The output image may include information on estimated inspection fees in place of, or in addition to, the subsidy information. In the illustrated example, the estimated examination fee information is displayed as follows: "Estimated examination fee," "Examination fees vary depending on the affiliated medical institution, but are generally around 40,000 to 50,000 yen. If you use the subsidy, 20,000 yen will be deducted at the time of payment." The estimated examination fee information is calculated based on the average examination fee and examination subsidy information of each medical institution.

[0055] As described above, the information processing device 1 according to the first embodiment includes: an examination information acquisition unit (examination information acquisition and determination unit 121) that acquires examination information indicating the detection results of cerebral aneurysm-related genes by the user's genetic test; a health record information acquisition unit 122 that acquires health record information; a subsidy information acquisition unit 123 that acquires subsidy information for examinations or diagnoses; a presentation information acquisition unit 124 that acquires presentation information based on the detection of cerebral aneurysm-related genes; a search unit 125 that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information; and an output unit 140 that outputs output information including presentation information, information on nearby hospitals, and subsidy information.

[0056] This allows the information processing device 1 to understand the costs of examinations, the availability and amount of subsidies for examinations and diagnoses, etc., without the patient having to look them up individually. Therefore, it can improve user convenience. This saves time and effort, thus improving patient convenience. In addition, it can check information on nearby hospitals in the patient's place of residence that can perform detailed examinations, thus efficiently promoting early screening for cerebrovascular diseases.

[0057] <Second Embodiment> Next, a second embodiment of the present invention will be described. In the following description, we will focus on the differences from the first embodiment. Furthermore, in the following description, if a configuration is the same as in the first embodiment, the same reference numerals may be used and its description may be omitted.

[0058] In the second embodiment, an example is described in which a detailed examination appointment is made by granting the patient permission to access a scheduling application.

[0059] <Information Processing Device 1> Figure 5 is a block diagram showing an example of the configuration of the information processing device 1 according to the second embodiment. The information processing device 1 comprises a communication unit 110, a control unit 120, a storage unit 130, and an output unit 140. The control unit 120 comprises an inspection information acquisition / determination unit 121, a health record information acquisition unit 122, a subsidy information acquisition unit 123, a presentation information acquisition unit 124, a search unit 125, an output processing unit 126, a schedule information acquisition unit 127, and a reservation unit 128.

[0060] <Schedule Information Acquisition Unit 127> The schedule information acquisition unit 127 acquires the schedule from the scheduling application based on the patient's consent. The schedule information acquisition unit 127 acquires the schedule from the scheduling application based on the patient's permission to access the scheduling application. The schedule information acquisition unit 127 outputs the acquired schedule information to the reservation unit 128.

[0061] <Reservation Department 128> The reservation unit 128 establishes an examination reservation based on schedule information, hospital selection information, type selection information, reservation availability information, and date and time selection information. The hospital selection information indicates one of the nearby hospitals found by the search unit 125. The hospital selection information indicates the hospital selected by the patient from among the hospitals presented to the patient as nearby hospital information. The type selection information indicates whether it is a detailed examination using DSA, CT, MRI, or MRA. The type information indicates the type of examination selected by the doctor. The congestion information indicates the congestion status of examination reservations. The reservation availability information indicates the date and time when an examination reservation is possible, i.e., one or more candidate dates and times when no examination reservations are made. The date and time selection information indicates the date and time selected from one or more candidate dates and times shown in the reservation availability information.

[0062] The reservation unit 128 extracts dates and times from the schedule information that do not have a scheduled appointment. The reservation unit 128 obtains reservation availability information for the examination method indicated by the type selection information at the hospital indicated by the hospital selection information from the health record information server 4. The reservation unit 128 extracts candidate dates and times where the extracted dates and times that do not have a scheduled appointment match the dates and times when examination reservations are possible as indicated by the reservation availability information. The reservation unit 128 establishes an examination reservation based on the date and time selection information, which indicates the date and time selected by the patient or other party from among the extracted candidate dates and times.

[0063] <Output processing unit 126> The output processing unit 126 generates output information. The output information includes at least presentation information, information on nearby hospitals, and subsidy information. The output processing unit 126 generates an output image representing the output information and outputs the generated output image to the output unit. The output processing unit 126 generates an output image that allows the user to select whether to allow or deny access to the scheduling application. The output processing unit 126 generates an output image that allows the user to select a hospital included in the information on nearby hospitals. The output processing unit 126 generates an output image that allows the user to select from DSA, CT, MRI, and MRA. The output processing unit 126 generates an output image that allows the user to select one or more candidate dates and times for a detailed examination appointment. The output processing unit 126 generates an output image indicating that the examination appointment has been made.

[0064] <Input section (not shown)> The input unit consists of input devices such as keyboards, mice, and touch panels. The input unit receives various input operations from doctors, patients, etc., and outputs signals corresponding to the operations to the control unit 120.

[0065] <Processing flow> Next, we will explain the information processing of the information processing system Sys. Figure 6 is a flowchart showing an example of information processing according to this embodiment. In step S200, the examination information acquisition and determination unit 121 acquires examination information from the health record information server 4. In step S202, the test information acquisition and determination unit 121 determines whether or not the test information detects a mutation in a gene related to cerebral aneurysms.

[0066] In step S204, if the test information detects a mutation in a cerebral aneurysm-related gene (step S204; YES), the test information acquisition and determination unit 121 executes the process in step S206. On the other hand, if the test information does not detect a mutation in a cerebral aneurysm-related gene (step S204; NO), the test information acquisition and determination unit 121 terminates the process shown in Figure 6. In step S206, the health record information acquisition unit 122 acquires health record information from the health record information server 4.

[0067] In step S208, the subsidy information acquisition unit 123 acquires subsidy information from the subsidy information server 3 based on the health record information. In step S210, the presentation information acquisition unit 124 acquires the presentation information from the storage unit 130.

[0068] In step S212, the search unit 125 obtains health checkup information from the health record information server 4. Based on the health checkup information and health record information, the search unit 125 searches for information on nearby hospitals. The output processing unit 126 generates an output image that includes the presented information, information on nearby hospitals, and information on subsidies. The output processing unit 126 generates the output image in a way that allows the user to select a hospital from among the hospitals included in the information on nearby hospitals. When the input unit receives an operation, it outputs a signal corresponding to that operation to the control unit 120.

[0069] In step S214, the output processing unit 126 generates an output image that allows the user to select whether to grant or deny access to the scheduling application. The schedule information acquisition unit 127 acquires the schedule from the scheduling application based on the patient's permission to access the scheduling application. However, if the schedule information acquisition unit 127 cannot obtain permission from the patient, i.e., if access is denied, it terminates the process shown in Figure 6 without acquiring the schedule information from the scheduling application.

[0070] In step S216, the reservation unit 128 extracts dates and times from the schedule information that do not have a scheduled appointment. The reservation unit 128 also obtains reservation availability information for the selected examination method at the selected hospital from the health record information server 4. The reservation unit 128 extracts candidate dates and times where the extracted dates and times that do not have a scheduled appointment match the dates and times when examination reservations are possible as indicated in the reservation availability information. The reservation unit 128 establishes an examination reservation based on the date and time selection information, which indicates the date and time selected by the patient or other party from among the candidate dates and times. The output processing unit 126 generates an output image that allows the user to select one or more candidate dates and times for scheduling a detailed examination.

[0071] In step S218, the output processing unit 126 generates an output image indicating that the inspection reservation has been completed. In step S220, the output processing unit 126 causes the generated output information to be output to the output unit.

[0072] <Display screen example> Next, we will explain an example of the display screen. Figure 7 is an example of a display screen showing an example of output information according to this embodiment. The example shown is one in which the output image representing the output information generated by the output processing unit 126 of the information processing device 1 is displayed on the display unit of another terminal device (for example, a tablet terminal) as the output unit 140. Note that the output unit 140 may also display the output image.

[0073] The output image includes information on nearby hospitals. This nearby hospital information is a search result obtained by the search unit 125 based on the patient "XXXX □□"'s health record information and health checkup information. In the illustrated example, the nearby hospital information is displayed as follows: "Hospital Information," "The following hospitals near XXXX □□'s home offer detailed examinations:," "XXXX General Hospital, Phone Number 03-1234-5678," "△△ Ward AA Hospital, Phone Number 03-23435-6789," "BBBB Clinic, Phone Number 03-3456-7890," "CCCC General Health Checkup Center, Phone Number 03-4567-8901." The output image also displays checkboxes that allow the user to select one of the hospitals included in the nearby hospital information, such as "XXXX General Hospital," "△△ Ward AA Hospital," "BBBB Clinic," and "CCCC General Health Checkup Center." The display screen changes when the patient or other user makes an operation on these checkboxes.

[0074] In the example of the display screen after the transition (not shown), a pop-up window displays checkboxes and their corresponding examination methods, allowing the user to select from multiple examination methods such as DSA, CT, MRI, and MRA. When an operation is performed on a checkbox in the pop-up window, the examination method corresponding to that checkbox is selected. The display screen then transitions as an examination method is selected.

[0075] <Display screen example> Figure 8 is an example of a display screen showing another example of the output information according to this embodiment. This example of a display screen is shown after an inspection method has been selected. The illustrated example shows a case where a pop-up window appears requesting permission to access the scheduling application to the patient. The pop-up window displays a message requesting permission to access the scheduling application, such as "Make an inspection reservation." and "Do you want to allow access to the scheduling application?", along with the options "Allow" and "Deny" as controls for this message. In the illustrated example, the system accepts either "Allow" or "Deny". In this embodiment, if "Deny" is selected, the inspection reservation is terminated without acquiring the schedule. On the other hand, if "Allow" is selected, the schedule information acquisition unit 127 acquires the schedule information from the scheduling application. The display screen then changes.

[0076] <Display screen example> Figure 9 is an example of a display screen showing another example of the output information according to this embodiment. This example screen is displayed when access to the scheduling application is permitted, as shown in the example screen in Figure 8. The example screen shown in Figure 7 is displayed when the selected hospital is "Selected Hospital" or "CCCC Comprehensive Health Checkup Center" and "MRI" is selected as the examination method. The output image will display candidate dates and times under the heading "Available Appointment Dates and Times for Examinations." The suggested dates and times are those dates and times from the schedule information obtained from the scheduling application that do not have a scheduled appointment, and that are available for MRI examination reservations as indicated by the CCCC Comprehensive Health Checkup Center's reservation availability information. In the example shown, multiple suggested dates and times are displayed as options, such as "March 4th 13:00", "March 4th 13:00", "March 7th 12:00", "March 7th 15:30", "March 9th 15:30", "March 9th 16:00", "March 14th 10:00", "March 14th 12:00", "March 14th 12:30", "March 14th 13:00", and "March 15th 10:00", and can be selected using the corresponding checkboxes. In addition, the example shown displays operation buttons for "Other Candidate Dates" to instruct the user to re-extract candidate dates and times, "Confirm" to establish an examination reservation with the candidate date and time selected by the checkbox, and "Cancel" to instruct the user to stop the examination reservation process. In the example shown, selecting "March 9th, 15:30" from the list of available dates and times and clicking "Confirm" will display a pop-up window (not shown) notifying you that the test reservation has been successfully made.

[0077] As described above, the information processing device 1 according to the second embodiment includes: an examination information acquisition unit (examination information acquisition and determination unit 121) that acquires examination information indicating the detection results of cerebral aneurysm-related genes by the user's genetic test; a health record information acquisition unit 122 that acquires health record information; a subsidy information acquisition unit 123 that acquires subsidy information for examinations or diagnoses; a presentation information acquisition unit 124 that acquires presentation information based on the detection of cerebral aneurysm-related genes; a search unit 125 that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information; and an output unit 140 that outputs output information including presentation information, information on nearby hospitals, and subsidy information.

[0078] This allows the information processing device 1 to understand the costs of examinations, the availability and amount of subsidies for examinations and diagnoses, etc., without the patient having to look them up individually. Therefore, it can improve user convenience. This saves time and effort, thus improving patient convenience. In addition, it can check information on nearby hospitals in the patient's place of residence that can perform detailed examinations, thus efficiently promoting early screening for cerebrovascular diseases.

[0079] The subsidy information includes information on subsidies provided by the insurance organization the user is a member of or information on subsidies provided by the local government. In this way, subsidy information can be output regardless of whether the user is enrolled in the National Health Insurance or another insurance organization.

[0080] The information presented recommends further examination using one or more of the following methods: MRI, MRA, CT, or DSA. By doing so, it becomes possible to recommend a more appropriate examination for cerebral aneurysms.

[0081] The information displayed shows the appointment status for detailed examinations. This allows for efficient scheduling of detailed examinations.

[0082] The system further includes a reservation unit 128 that retrieves the user's schedule from a scheduling application and extracts candidate dates on which an examination or consultation can be booked, and the information presented is information indicating the congestion status of the examination or consultation. This approach allows us to present users with available test dates and times during their free time, thereby improving convenience. Furthermore, since test reservations can be made without having to adjust existing schedules, it efficiently encourages users to undergo testing.

[0083] <Variation> The reservation unit 128 may also perform a route search to the selected hospital based on health record information and health checkup information, and may display route guidance, for example, when the reservation is confirmed. Furthermore, the reservation unit 128 may also perform a route search to the selected hospital based on health record information and health checkup information, and may display access methods from the home to the selected hospital using trains or buses. Route guidance and access methods may be presented in text, images, maps, etc.

[0084] Figure 10 is an example of a display screen showing another example of the output information related to the modified form. The example shown is what appears when an MRI scan reservation is completed at the selected hospital, "CCCC General Health Checkup Center," on "March 9th, 15:30." In the example shown, the "Access" from "Home" to "CCCC Comprehensive Health Checkup Center" includes train transfer information from "Home" to "CCCC Comprehensive Health Checkup Center" and a map showing the route from the nearest station to "CCCC Comprehensive Health Checkup Center" to "CCCC Comprehensive Health Checkup Center". The system also displays that the travel time from "home" to "CCCC Comprehensive Health Checkup Center" is "approximately 30 minutes."

[0085] By doing so, patients can check the travel time and route to the hospital along with their examination appointment, thereby improving patient convenience.

[0086] The reservation unit 128 may also extract dates and times from the schedule information that are not currently booked, taking into account the time required to travel from "home" to the selected hospital "CCCC General Health Checkup Center" and the time required for the examination.

[0087] By doing so, it becomes possible to adjust the schedule to take into account the time required for detailed examinations and travel for those examinations, thus promoting more efficient testing.

[0088] <Variation> Health record information may refer to the health record information of the patient's family in addition to, or instead of, the patient's own health record information. For example, family health record information may refer to whether the patient's family has a history of vascular malformations such as arteriovenous malformations or cerebral venous fistulas, epilepsy, moyamoya disease, cerebral infarction, or hypertension. In this case, if a mutation in a gene related to cerebral aneurysms is detected and / or if the family's health record information indicates a history of the above-mentioned conditions, further examination may be recommended. Furthermore, the patient's medical history may be reviewed by referring to the patient's family's medication information, and if the estimated medical history matches the aforementioned medical history, a thorough examination may be encouraged. Here, medication information refers to information about the patient's medications, such as medication history, prescription history, medication record book, and prescriptions.

[0089] This approach encourages early screening for patients at high genetic risk of cerebrovascular disease.

[0090] <Variation> In addition, instead of or in addition to genetic testing for cerebral aneurysms, further examinations may be encouraged if the patient's health record includes a history of smoking, hypertension, hyperlipidemia, diabetes, etc. Furthermore, further examinations may be encouraged if the patient's health record includes symptoms such as headache, nausea / vomiting, eye discomfort, ptosis, decreased sensation, paralysis, seizures, or loss of consciousness.

[0091] This approach encourages early screening for patients at high risk of cerebrovascular disease or those exhibiting symptoms of cerebrovascular disease.

[0092] <Variation> In addition, location information from the patient's terminal device may be used instead of, or in addition to, the address included in the patient's health record information.

[0093] By doing so, it is possible to provide transportation routes to nearby hospitals based on the patient's current location, or to hospitals where they can receive further examinations.

[0094] As described above, the modified information processing device 1 includes an examination information acquisition unit (examination information acquisition and determination unit 121) that acquires examination information showing the detection results of cerebral aneurysm-related genes by the user's genetic test, a health record information acquisition unit 122 that acquires health record information, a subsidy information acquisition unit 123 that acquires subsidy information for examinations or diagnoses, a presentation information acquisition unit 124 that acquires presentation information based on the detection of cerebral aneurysm-related genes, a search unit 125 that searches for information on nearby hospitals with doctors who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information, and an output unit 140 that outputs output information including presentation information, information on nearby hospitals, and subsidy information.

[0095] This allows the information processing device 1 to understand the costs of examinations, the availability and amount of subsidies for examinations and diagnoses, etc., without the patient having to look them up individually. Therefore, it can improve user convenience. This saves time and effort, thus improving patient convenience. In addition, it can check information on nearby hospitals in the patient's place of residence that can perform detailed examinations, thus efficiently promoting early screening for cerebrovascular diseases.

[0096] Furthermore, the health record information includes the health record information of the user's family.

[0097] This approach encourages early screening for patients at high genetic risk of cerebrovascular disease.

[0098] Furthermore, the output information includes information on the costs required for the examination or diagnosis, and information on the actual amount paid depending on whether or not a detailed examination was performed.

[0099] This approach allows us to inform patients in advance of the cost of the examination after the subsidy has been applied. It also allows them to understand how much a detailed examination will cost.

[0100] The genes associated with cerebral aneurysms are PLCL1, ENDRA, SOX17, CBY2, CNNM2, STARD13, NPNTIt is one of RBBP8.

[0101] By doing so, it is possible to detect mutations and genetic polymorphisms in genes related to cerebral aneurysms, thereby encouraging early screening for patients at high genetic risk.

[0102] The search unit 125 searches for information on nearby hospitals based on the user's health record information and the user's current location information.

[0103] This allows us to show the patient the nearest hospital to their current location.

[0104] Furthermore, the reservation unit 128 extracts candidate dates taking into account travel time based on travel to nearby hospitals.

[0105] This allows you to schedule an examination without having to adjust your schedule.

[0106] <Third Embodiment> Next, a third embodiment of the present invention will be described. In the following description, we will focus on the differences from the first embodiment. Furthermore, in the following description, if a configuration is the same as in the first embodiment, the same reference numerals may be used and its description may be omitted.

[0107] In the third embodiment, an example of presenting the insurance amount of the voluntary insurance policy the patient has taken out will be described.

[0108] <Information Processing Device 1> Figure 11 is a block diagram showing an example of the configuration of the information processing device 1 according to the third embodiment. The information processing device 1 comprises a communication unit 110, a control unit 120, a storage unit 130, and an output unit 140. The control unit 120 comprises an inspection information acquisition / determination unit 121, a health record information acquisition unit 122, a subsidy information acquisition unit 123, a presentation information acquisition unit 124, a search unit 125, an output processing unit 126, and a revenue and expenditure information acquisition unit 129.

[0109] <Income and expenditure information acquisition unit 129> The income and expenditure information acquisition unit 129 acquires information about the patient's optional insurance from the health record information server 4. Optional insurance is, for example, life insurance. The income and expenditure information acquisition unit 129 also acquires information about the insurance payments the patient can receive as a result of examinations or diagnoses. The income and expenditure information acquisition unit 129 acquires information on the average length of hospital stay and the average treatment cost when treatment becomes necessary due to a diagnosis, from the health record information server 4. The income and expenditure information acquisition unit 129 acquires the patient's current annual income information and the type of pension they are enrolled in from the health record information server 4. Based on the annual income information and pension type information, the income and expenditure information acquisition unit 129 calculates social loss costs such as sickness benefits, the average period of inability to work, and the income that would have been received during the period of inability to work.

[0110] <Health Record Information Acquisition Unit 122> The health record information acquisition unit 122 acquires health record information of residents in the area where the patient resides from the health record information server 4, based on the patient's health record information. Here, the health record information of the residents is anonymized data, for example, using a k-anonymization model. From the acquired anonymized data, the health record information acquisition unit 122 calculates the rate of residents receiving examinations or consultations. <Processing flow> Next, we will explain the information processing of the information processing system Sys. Figure 12 is a flowchart showing an example of information processing according to this embodiment. In step S300, the test information acquisition and determination unit 121 acquires test information from the health record information server 4. In step S302, the test information acquisition and determination unit 121 determines whether or not the test information detects a mutation in a gene related to cerebral aneurysms.

[0111] In step S304, if the test information detects a mutation in a cerebral aneurysm-related gene (step S304; YES), the test information acquisition and determination unit 121 executes the process in step S306. On the other hand, if the test information does not detect a mutation in a cerebral aneurysm-related gene (step S304; NO), the test information acquisition and determination unit 121 terminates the process shown in Figure 12. In step S306, the health record information acquisition unit 122 acquires health record information from the health record information server 4.

[0112] In step S308, the subsidy information acquisition unit 123 acquires subsidy information from the subsidy information server 3 based on the health record information. In step S310, the information acquisition unit 124 acquires the information to be presented from the storage unit 130. This information includes the rate of local residents receiving examinations or consultations, calculated by the health record information acquisition unit 122 from anonymized data.

[0113] In step S312, the search unit 125 obtains health checkup information from the health record information server 4. Based on the health checkup information and health record information, the search unit 125 searches for information on nearby hospitals. The output processing unit 126 generates an output image that includes the presented information, information on nearby hospitals, and information on subsidies.

[0114] In step S314, the income and expenditure information acquisition unit 129 acquires information about the patient's voluntary insurance from the health record information server 4. In step S316, the income and expenditure information acquisition unit 129 calculates a projected income and expenditure, including insurance income and social loss costs, based on the patient's annual income information, pension information, and voluntary insurance information.

[0115] In step S318, the output processing unit 126 generates an output image showing the predicted balance. In step S320, the output processing unit 126 causes the generated output information to be output to the output unit.

[0116] <Display screen example> Next, we will explain an example of the display screen. Figure 13 is an example of a display screen showing an example of output information according to this embodiment. The example shown is one in which the output image representing the output information generated by the output processing unit 126 of the information processing device 1 is displayed on the display unit of another terminal device (for example, a tablet terminal) as the output unit 140. Note that the output unit 140 may also display the output image.

[0117] The illustrated example includes information on insurance payouts from life insurance companies based on examinations and diagnoses, derived from information on optional insurance policies. In the example screen, the amount that can be received during an examination or diagnosis is displayed, such as "Life insurance benefits" or "You are expected to receive XXX million yen in insurance benefits from the life insurance policy you have." The example shown includes information on estimated hospitalization costs. In the example screen, information such as "Hospitalization Costs" and "The average length of hospitalization is XX months. The average cost of hospitalization is approximately XXX million yen. The amount varies greatly depending on the treatment method" is displayed. The illustrated example includes social loss costs calculated based on current annual income and pension information. In the example screen display, social loss costs are presented, such as "Employment," "You are expected to receive approximately XX million yen in sickness benefits. The period of inability to work is approximately XX months, and the income you would have received during that time is approximately XXX million yen. XX% of those affected will have permanent disabilities. Restrictions on employment may be necessary when returning to work. We recommend undergoing a thorough medical examination."

[0118] As described above, the information processing device 1 according to the third embodiment includes: an examination information acquisition unit (examination information acquisition and determination unit 121) that acquires examination information indicating the detection results of cerebral aneurysm-related genes by the user's genetic test; a health record information acquisition unit 122 that acquires health record information; a subsidy information acquisition unit 123 that acquires subsidy information for examinations or diagnoses; a presentation information acquisition unit 124 that acquires presentation information based on the detection of cerebral aneurysm-related genes; a search unit 125 that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy based on the health record information; and an output unit 140 that outputs output information including presentation information, information on nearby hospitals, and subsidy information.

[0119] This allows the information processing device 1 to understand the costs of examinations, the availability and amount of subsidies for examinations and diagnoses, etc., without the patient having to look them up individually. Therefore, it can improve user convenience. This saves time and effort, thus improving patient convenience. In addition, it can check information on nearby hospitals in the patient's place of residence that can perform detailed examinations, thus efficiently promoting early screening for cerebrovascular diseases.

[0120] Furthermore, the presented information consists of data anonymized using a k-anonymization model, representing the rate of residents in the user's area receiving examinations or medical consultations.

[0121] By doing so, it is possible to stimulate a sense of camaraderie and group psychology by presenting the consultation rate of local residents, thereby improving the consultation rate.

[0122] This document provides information on optional insurance benefits that would be paid if an aneurysm is discovered based on the results of an examination or diagnosis.

[0123] By doing so, you can review your financial plans and other preparations for the future.

[0124] The output unit outputs the hospitalization costs in the event of a ruptured aneurysm, current annual income information, the type of pension plan the user is enrolled in, and the social loss costs after the aneurysm ruptures.

[0125] By doing so, we can make people aware of the social costs incurred when a disease develops, thereby encouraging early testing.

[0126] Furthermore, one or more of the above-described embodiments and variations, or some or all of the above-described embodiments and variations, may be combined to realize one aspect of the present invention.

[0127] Furthermore, the programs that operate in the information processing system Sys and information processing device 1 in one aspect of the present invention may be one or more programs that control a processor such as a CPU (Central Processing Unit) (programs that make a computer function) in order to realize the functions shown in the above embodiments and modifications relating to one aspect of the present invention. The information handled by each of these devices may be temporarily stored in RAM (Random Access Memory) during processing, and then stored in various storage devices such as flash memory and HDD (Hard Disk Drive), and may be read, modified, and written by the CPU or the like as needed.

[0128] Furthermore, some or all of the information processing system Sys and information processing device 1 in each of the embodiments and modifications described above may be implemented using a computer equipped with one or more processors. In that case, the program for implementing this control function may be recorded on a computer-readable recording medium, and the program recorded on this recording medium may be read by the computer system and executed.

[0129] In this context, "computer system" refers to the computer system embedded in the information processing system Sys and information processing device 1, and includes hardware such as the OS and peripheral devices. Furthermore, "computer-readable recording medium" refers to portable media such as flexible disks, magneto-optical disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks embedded in computer systems.

[0130] Furthermore, "computer-readable recording media" may include those that dynamically hold programs for a short period of time, such as communication lines used when transmitting programs via networks such as the Internet or communication lines such as telephone lines, as well as those that hold programs for a certain period of time, such as volatile memory inside a computer system that acts as a server or client in such cases. In addition, the above-mentioned program may be for the purpose of realizing some of the functions described above, and may also be a program that can realize the above-mentioned functions in combination with a program already recorded in the computer system.

[0131] Furthermore, in each of the embodiments and modifications described above, some or all of the information processing system Sys and information processing device 1 may be implemented as an LSI, which is typically an integrated circuit, or as a chipset. Also, each functional block of the information processing system Sys and information processing device 1 in each of the embodiments and modifications described above may be individually chipped, or some or all of them may be integrated into a chip. In addition, the method of implementing the integrated circuit is not limited to LSIs; it may also be implemented using dedicated circuits and / or general-purpose processors. Furthermore, if an integrated circuit technology that can replace LSIs emerges due to advances in semiconductor technology, it is also possible to use an integrated circuit based on that technology.

[0132] Although various embodiments and modifications have been described in detail above with reference to the drawings as one aspect of this invention, the specific configuration is not limited to these embodiments and modifications, and includes design changes and the like that do not depart from the gist of this invention. Furthermore, various modifications are possible within the scope of the claims for one aspect of this invention, and embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of this invention. In addition, configurations in which elements described in the above embodiments and modifications that produce similar effects are substituted for each other are also included. [Explanation of Symbols]

[0133] Sys (Information Processing System) 1. Information Processing Device 110 Communications Department 120 Control Unit 121 Inspection Information Acquisition and Determination Unit 122 Health Record Information Acquisition Department 123 Subsidy Information Acquisition Department 124 Presentation information acquisition unit 125 Search Section 126 Output Processing Unit 127 Schedule Information Acquisition Unit 128 Reservation Department 129 Income and Expenditure Information Acquisition Department 130 Storage section 140 Output section 2. Inspection Information Server 3. Subsidy Information Server 4. Health record information server

Claims

1. A test information acquisition unit that acquires test information showing the detection results of cerebral aneurysm-related genes from the user's genetic test, A health record information acquisition unit that acquires health record information, A subsidy information acquisition unit that acquires information on subsidies for examinations or diagnoses, A presentation information acquisition unit that acquires presentation information based on the detection of the aforementioned cerebral aneurysm-related gene, A search unit that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the aforementioned health record information, An output unit that outputs output information including the aforementioned presentation information, the information of the nearby hospital, and the subsidy information, An information processing system equipped with the following features.

2. The aforementioned subsidy information is either information about subsidies from the insurance organization the user is a member of, or information about subsidies from local governments. The information processing system according to claim 1.

3. The information presented above recommends a detailed examination using one or more of the following: MRI, MRA, CT, or DSA. The information processing system according to claim 1.

4. The information presented above indicates the reservation status for detailed examinations. The information processing system according to claim 1.

5. It further includes a booking unit that retrieves the user's schedule from the scheduling application and extracts possible dates for scheduling an examination or consultation. The information presented above indicates the congestion status of the examination or consultation. The information processing system according to claim 1.

6. The aforementioned health record information is the health record information of the user's family. The information processing system according to claim 1.

7. The output information further includes cost information for the examination or diagnosis, and actual cost information for whether or not a detailed examination was performed. The information processing system according to claim 1.

8. The aforementioned cerebral aneurysm-related gene is one of the following: PLCL1, ENDRA, SOX17, CBY2, CNNM2, STARD13, NPNT, or RBBP8. The information processing system according to claim 1.

9. The search unit searches for information on nearby hospitals based on the user's health record information and the user's current location information. The information processing system according to claim 1.

10. The reservation department extracts candidate dates, taking into account the travel time required to travel to the nearby hospital. The information processing system according to claim 5.

11. The aforementioned presented information consists of data anonymized using a k-anonymization model, representing the rate of residents in the user's area receiving examinations or medical consultations. The information processing system according to claim 1.

12. The output unit outputs information on insurance payouts for optional insurance policies that are paid when a cerebral aneurysm is discovered, based on the results of the examination or diagnosis. The information processing system according to claim 1.

13. The output unit is, Based on the hospitalization costs in the event of a ruptured brain aneurysm, current annual income information, and the type of pension plan the patient is enrolled in, the system outputs the social loss costs after the rupture of the brain aneurysm. The information processing system according to claim 1.

14. A test information acquisition unit that acquires test information showing the detection results of cerebral aneurysm-related genes from the user's genetic test, A health record information acquisition unit that acquires health record information, A subsidy information acquisition unit that acquires information on subsidies for examinations or diagnoses, A presentation information acquisition unit that acquires presentation information based on the detection of the aforementioned cerebral aneurysm-related gene, A search unit that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the aforementioned health record information, An output unit that outputs output information including the aforementioned presentation information, the information of the nearby hospital, and the subsidy information, An information processing device equipped with the following features.

15. The computer of the information processing device, The process of obtaining test information, which involves obtaining test information showing the detection results of cerebral aneurysm-related genes through the user's genetic testing, The process of acquiring health record information, The subsidy information acquisition process for obtaining information on subsidies for tests or diagnoses, A process for obtaining presentation information based on the detection of the aforementioned cerebral aneurysm-related gene, A search process that searches for information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the aforementioned health record information, An output process that outputs output information including the aforementioned presented information, the information of the nearby hospital, and the subsidy information, An information processing method having

16. In the computer of the information processing device, A step to obtain test information showing the results of detecting cerebral aneurysm-related genes through the user's genetic testing, The steps for obtaining health record information, A subsidy information acquisition step to obtain information on subsidies for tests or diagnoses, A step of obtaining presentation information based on the detection of the aforementioned cerebral aneurysm-related gene, A search step to find information on nearby hospitals with physicians who are specialists in neurosurgery, radiology, or endovascular therapy, based on the aforementioned health record information, Output step to output output information including the aforementioned presentation information, the information of the nearby hospital, and the subsidy information, A program to execute.

Images