Information processing system, information processing method and program

Abstract

This information processing system (1) comprises: an information acquisition unit (303) for acquiring patient information indicating the state of a patient who visited a first institution or was examined by a person affiliated with the first institution; a determining unit (305) for determining whether the patient information satisfies at least one determining condition from among determining conditions set in advance; and a process control unit (306) for executing, if at least one determining condition is satisfied, a process for matching the patient with a second institution included in setting institutions associated with the satisfied determining condition. Each of the determining conditions set in advance is a condition for determining suspicion of a prescribed disease, and is associated with a setting agency which is an agency that set the determining condition.

Description

[Technical Field]

[0001] The present disclosure relates to an information processing system, an information processing method, and a non-transitory computer-readable medium, and more particularly to an information processing system, an information processing method, and a non-transitory computer-readable medium for matching medical institutions and patients. [Background technology]

[0002] In recent years, telemedicine has been attracting attention. For example, Patent Document 1 discloses a server that receives measurement data and interview data from an anthropometric measurement device installed in a satellite, determines an appropriate diagnostic institution for diagnosis based on the data, and sends the data to the diagnostic institution's computer. The server receives diagnostic result data from the diagnostic institution's computer that received the data, and sends the diagnostic result to the computer of the member to be diagnosed, thereby realizing remote diagnosis. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2002-222267 Summary of the Invention [Problem to be solved by the invention]

[0004] Research institutions conducting clinical research collect case data from patients with the disease being studied, and use this data to help prevent, elucidate, or verify treatments for the disease. To advance these studies, a huge amount of case data needs to be collected, but research institutions have limitations on how much case data they can collect. Therefore, there is a need to efficiently recruit patients who may be suffering from the disease being studied from other medical institutions.

[0005] In view of the above-mentioned problems, the object of the present disclosure is to provide an information processing system, an information processing method, and a non-transitory computer-readable medium that enable research institutions seeking case data to efficiently collect case data of research subjects. [Means for solving the problem]

[0006] An information processing system according to one aspect of the present disclosure includes: an information acquisition means for acquiring patient information indicating the condition of a patient who has visited a first institution or who has been examined by a person associated with the first institution; a determination means for determining whether the patient information satisfies at least one of predetermined determination conditions; a processing control means for executing a process for matching the patient with a second institution included in the setting source institution associated with the satisfied judgment condition when the at least one judgment condition is satisfied; Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting source institution that has set the judgment condition.

[0007] An information processing method according to one aspect of the present disclosure includes: obtaining patient information indicating the condition of a patient who has visited a first institution or been examined by a person associated with said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting source institution that has set the judgment condition.

[0008] According to one aspect of the present disclosure, there is provided a non-transitory computer-readable medium, comprising: obtaining patient information indicating the condition of a patient who has visited a first institution or been examined by a person associated with said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. The program for causing a computer to execute the above is stored in the storage device. Each of the predetermined judgment conditions is a condition for determining whether a patient is suspected of having a predetermined disease, and is associated with an institution that set the judgment condition. [Effects of the Invention]

[0009] The present disclosure can provide an information processing system, an information processing method, and a non-transitory computer-readable medium that allow research institutions seeking case data to efficiently collect case data for research subjects. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a block diagram showing a configuration of an information processing system according to a first embodiment. [Figure 2] 1 is a flowchart showing the flow of an information processing method according to the first embodiment. [Figure 3] FIG. 10 is a block diagram showing the overall configuration of an information processing system according to a second embodiment. [Figure 4] FIG. 10 is a block diagram showing the configuration of a server according to a second embodiment. [Figure 5] FIG. 10 is a diagram illustrating an example of a data structure of a determination condition DB according to the second embodiment. [Figure 6] 10 is a flowchart showing the flow of a determination condition setting process according to the second embodiment. [Figure 7] FIG. 10 is a sequence diagram showing an example of the flow of a matching process according to the second embodiment. [Figure 8]FIG. 10 is a diagram showing an example of a display on a clinic terminal according to the second embodiment. [Figure 9] FIG. 10 is a sequence diagram showing the flow of a matching process according to a first modified example of the second embodiment. [Figure 10] FIG. 13 is a diagram showing an example of a display on a setting source hospital terminal according to a first modified example of the second embodiment. [Figure 11] FIG. 10 is a sequence diagram showing the flow of a matching process according to a second modified example of the second embodiment. [Figure 12] FIG. 10 is a diagram showing an example of a display on a clinic terminal according to a second modified example of the second embodiment. [Figure 13] 10 is a flowchart showing an example of the flow of analysis and determination processing according to a third modified example of the second embodiment. [Figure 14] FIG. 10 is a diagram for explaining a determination process according to the third embodiment. [Figure 15] 11 is a flowchart showing an example of the flow of a determination process according to the third embodiment. [Figure 16] FIG. 10 is a block diagram showing the configuration of a server according to a fourth embodiment. [Figure 17] FIG. 11 is a sequence diagram showing the flow of a matching process according to the fourth embodiment. [Figure 18] FIG. 10 is a block diagram showing the overall configuration of an information processing system according to a fifth embodiment. [Figure 19] FIG. 1 illustrates an example of the configuration of a computer. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In each drawing, the same or corresponding elements are designated by the same reference numerals, and for clarity of explanation, duplicate explanations will be omitted as necessary.

[0012] <Embodiment 1> First, a description will be given of a first embodiment of the present disclosure. Fig. 1 is a block diagram showing the configuration of an information processing system 1 according to the first embodiment. The information processing system 1 is a computer system including one or more computer devices for matching organizations that collect case data related to a specific disease with target patients who may have the disease.

[0013] The "institution" to be matched is a hospital, other medical institution or research institution, pharmacy, or company that manufactures and sells pharmaceuticals or medical devices. The hospital may be, for example, a large hospital or a university hospital. The "institution" is referred to as the "setting institution" because it sets the judgment criteria for determining whether a specific disease is suspected. The judgment criteria are categorized or structured by performing statistical processing on case data or by the knowledge and research of experts at the setting institution based on the case data. Hereinafter, "setting (the judgment criteria)" refers to specifying the content of the judgment criteria, and may refer to, for example, specifying the judgment items of the judgment criteria or specifying parameters such as thresholds for the judgment criteria. However, instead, "setting (the judgment criteria)" may refer to selecting a judgment condition from multiple judgment conditions whose contents have already been specified.

[0014] The "target patient" to be matched is a patient who visits the first institution or a patient who has been examined by a person associated with the first institution. Being examined by a person associated with the first institution may mean that a patient is examined by the person at the first institution, or that a patient in another location, such as at home or a simple clinic, is examined remotely by a person associated with the first institution. The latter is sometimes called telemedicine or online medical consultation.

[0015] The "first institution" is a hospital different from the setting institution. The "first institution" is, for example, a clinic. The parties involved in the first institution are doctors, nurses, pharmacists, or other medical staff. "Examination" refers to interview, visual examination, palpation, percussion, auscultation, or other clinical examination.

[0016] The information processing system 1 includes an information acquisition unit 303 , a determination unit 305 , and a process control unit 306 .

[0017] The information acquisition unit 303 is also called information acquisition means. The information acquisition unit 303 acquires the patient information of the target patient described above. "Patient information" indicates the patient's condition. In particular, "patient information" indicates the condition of the target patient when visiting the first institution or when examined by a person associated with the first institution. The "condition" may be the presence or absence of various symptoms, such as appetite, nausea, body pain, or dizziness, or the degree of onset of various symptoms. The "condition" may also be test results obtained by a clinical test. Note that the "patient information" may be information on the "condition" itself, or may be basic data for detecting the "condition," such as video data, audio data, or test data.

[0018] The determination unit 305 is also called a determination means. The determination unit 305 determines whether or not the patient information satisfies at least one of one or more preset determination conditions. Here, each of the one or more determination conditions is associated with the setting institution that set the determination condition.

[0019] The process control unit 306 is also referred to as a process control means. When at least one determination condition is satisfied, the process control unit 306 executes a process for matching the target patient with a second institution included in the setting institution associated with the satisfied determination condition. If there is only one setting institution associated with the satisfied determination condition, the "second institution" refers to that setting institution. Alternatively, if there are multiple setting institutions associated with the satisfied determination condition, the "second institution" may refer to all or some of the relevant setting institutions. The case where there are "multiple setting institutions" refers to a case where there are multiple satisfied determination conditions or where multiple setting institutions are associated with one satisfied determination condition. The "matching process" is also referred to as a matching process. The matching process may include, but is not limited to, notifying the terminal of the first institution of information about the second institution and having it output it, transmitting patient information to the terminal of the second institution, or reserving an appointment for the target patient at the second institution. In addition, by outputting information about the second institution from the terminal of the first institution, a person related to the first institution can create a referral letter to the setting originating institution or operate the terminal of the first institution to send patient information to the terminal of the setting originating institution. This makes it possible to match the setting originating institution with the target patient. In the following, "output" may be a display or an audio output.

[0020] FIG. 2 is a flowchart showing the flow of the information processing method according to the first embodiment. First, the information acquisition unit 303 of the information processing system 1 acquires patient information of the target patient (S10). Next, the determination unit 305 determines whether at least one of one or more preset determination conditions is satisfied (S11). If the determination unit 305 does not determine that at least one determination condition is satisfied (No in S11), it terminates the processing. On the other hand, if the determination unit 305 determines that at least one determination condition is satisfied (Yes in S11), it identifies the setting source institution associated with the satisfied determination condition and identifies a second institution included in the identified setting source institution (S12). Then, the process control unit 306 executes processing to match the second institution with the target patient (S13), and terminates the processing.

[0021] As described above, according to the first embodiment, the information processing system 1 can remotely match target patients with setting institutions that collect case data related to a specific disease. The setting institutions can collect case data for research subjects efficiently without geographical restrictions or while minimizing increases in labor. Meanwhile, patients can receive treatment at a setting institution with a specialist in the suspected disease or transfer to another hospital simply by visiting or visiting the first institution.

[0022] <Embodiment 2> Next, a second embodiment of the present disclosure will be described. FIG. 3 is a block diagram showing the overall configuration of an information processing system 1a according to the second embodiment. The information processing system 1a is an example of the information processing system 1 described above. In the second embodiment, the "setting source institution" is, for example, a large hospital, and is called the setting source hospital, and the "first institution" is a clinic. As another example, the person related to the setting source hospital is a doctor affiliated with the setting source hospital, and the person related to the clinic is a doctor affiliated with the clinic. The target patient visits the clinic to receive a medical examination.

[0023] The information processing system 1a includes a clinic system 10, setting source hospital systems 20-1, 20-2, and 20-3 provided in each of a plurality of setting source hospitals, and an information processing device (hereinafter referred to as a server) 300. Each device and system is connected to a wired or wireless network N. The number of setting source hospital systems 20 is not limited to three.

[0024] (Clinic System 10) The clinic system 10 is a computer system within a clinic. The clinic system 10 acquires patient information of target patients who visit the clinic or who have been examined by a clinic-related person. The clinic system 10 then transmits the patient information to the server 300 via the network N.

[0025] Specifically, the clinic system 10 includes a clinic terminal 100 , a camera 110 , and a microphone 120 .

[0026] The camera 110 and the microphone 120 are installed in a clinic. For example, the camera 110 and the microphone 120 are installed in an examination room of the clinic. In this case, for example, the camera 110 captures an image of a target patient being examined by a doctor at the clinic, and the microphone 120 picks up the voice of the target patient being examined. Alternatively, for example, the camera 110 and the microphone 120 may be installed in an examination room of the clinic. In this case, for example, the camera 110 captures an image of a target patient being examined, and the microphone 120 picks up the voice of the target patient being examined. Alternatively, for example, the camera 110 and the microphone 120 may be installed in a waiting room of the clinic. In this case, for example, the camera 110 and the microphone 120 capture an image of a target patient waiting in the waiting room, and the microphone 120 picks up the voice of the target patient waiting in the waiting room. The camera 110 and microphone 120 are connected to the clinic terminal 100 and transmit video data and audio data, respectively, to the clinic terminal 100. The video data and audio data may be collectively referred to as media data.

[0027] The clinic terminal 100 is an information terminal installed in a clinic or managed by a doctor or other person in the clinic. The clinic terminal 100 is connected to a network N. The clinic terminal 100 transmits media data acquired from a camera 110 and a microphone 120 to a server 300 via the network N. Furthermore, when the clinic terminal 100 receives information about the setting source hospital from the server 300, it outputs the received information, thereby informing the doctor at the clinic of the existence of a hospital that is seeking case data of the target patient.

[0028] (Setting source hospital system 20) The setting source hospital system 20 is a computer system within the setting source hospital. The setting source hospital system 20 accepts, from doctors at the setting source hospital, designation of judgment conditions related to diseases for which case data is being collected. The setting source hospital system 20 then transmits a setting request to the server 300 via the network N to set information on the designated judgment conditions.

[0029] Specifically, the setting source hospital system 20 includes a setting source hospital terminal 200 and a reservation server 210.

[0030] The setting source hospital terminal 200 is an information terminal provided in the setting source hospital or an information terminal managed by a doctor or other related person at the setting source hospital. The setting source hospital terminal 200 is connected to a network N. The setting source hospital terminal 200 receives the contents of the judgment conditions from a doctor at the setting source hospital and transmits a setting request for the specified judgment conditions to the server 300 via the network N. The reservation server 210 is a server that accepts appointments for consultations at the setting source hospital and manages the reservation status. The reservation server 210 may be connected to the setting source hospital terminal 200 and configured to be able to output the reservation status to the setting source hospital terminal 200. Note that the reservation server 210 is not essential in the second embodiment.

[0031] (Server 300) The server 300 is a computer device that matches setting source hospitals with target patients. The server 300 registers the determination conditions included in the setting request received by the setting source hospital system 20 in association with the setting source hospital. If the patient information based on the media data received from the clinic system 10 satisfies any of the already registered determination conditions, the server 300 executes a process of matching the setting source hospital of the satisfied determination condition with the target patient.

[0032] 4 is a block diagram showing the configuration of the server 300 according to the second embodiment. The server 300 includes a setting unit 301, a determination condition database (DB) 302, an information acquisition unit 303a, an analysis unit 304, a determination unit 305a, and a process control unit 306a.

[0033] The setting unit 301 is also called a setting means. When the setting unit 301 receives a setting request for a specified judgment condition from the setting source hospital terminal 200, the setting unit 301 registers the judgment condition included in the setting request in association with a disease ID that identifies the disease that is the judgment target of the judgment condition and the setting source hospital ID. This sets the judgment condition. The disease ID may be the disease name or the disease identification number. The setting source hospital ID is information that identifies the setting source hospital, and may be the setting source hospital name or the setting source hospital identification number, or the setting source doctor name or the doctor identification number. Here, the setting source hospital ID is associated with setting source hospital information, which is information about the setting source hospital. The setting source hospital information may include the setting source hospital name, the setting source hospital address, the medical department, the medical corporation name, the size, the consultation hours, the telephone number, the names or biographies of doctors affiliated with the setting source hospital, or information about the disease for which case data is being collected. Therefore, through the setting process by the setting unit 301, for each judgment condition, the judgment condition is registered in association with the setting source hospital information about the setting source hospital that set the judgment condition.

[0034] Furthermore, the setting unit 301 may update the judgment conditions when it is determined that the judgment result is incorrect. The judgment result may be determined to be incorrect when a notification of an error is received from the setting source hospital terminal 200 or when an update request is received from the setting source hospital terminal 200. For example, when the setting unit 301 receives a notification of an error, it may update parameters such as thresholds of the judgment conditions. Furthermore, for example, the setting unit 301 may update the judgment conditions based on update information included in the update request from the setting source hospital terminal 200. This can improve the judgment accuracy.

[0035] The determination condition DB 302 is a storage device that stores determination conditions, etc. In the second embodiment, the determination condition DB 302 stores a disease ID, a determination condition, and an ID of a hospital that set the condition, in association with each other. A more detailed data structure of the determination condition DB 302 is shown in FIG. 5.

[0036] FIG. 5 is a diagram illustrating an example of the data structure of the judgment condition DB 302 according to the second embodiment. In FIG. 5, the judgment condition DB 302 stores, for each judgment condition ID, a disease ID, a judgment condition, and a setting source hospital ID in association with each other. Here, the judgment condition may be a combination of individual judgment conditions. The individual judgment condition is a condition related to some judgment items among the judgment conditions, and is a condition used to determine whether the state of the target patient corresponds to each judgment item, such as appetite, fever, diarrhea, dizziness, and body pain. When all the individual judgment conditions constituting the same judgment condition are satisfied, it is determined that the judgment condition is satisfied. This is called a match determination. The order in which the individual judgment conditions are determined may be predetermined or may be random.

[0037] For example, judgment condition "C1" is a judgment condition for determining whether there is a suspicion of disease "D1." Judgment condition "C1" is composed of a combination of an individual judgment condition related to appetite and an individual judgment condition related to neck pain, and these conditions are set by the setting source hospital "H1." According to judgment condition "C1," if there is a decrease in appetite and neck pain, it is judged that there is a suspicion of disease with disease ID "D1."

[0038] Here, multiple setting source hospitals can set the same judgment condition. For example, judgment condition "C2" is set by setting source hospitals "H2" and "H3".

[0039] The individual determination conditions may also include a determination condition for determining whether the test value is within a reference range or whether a predetermined treatment or medication has been administered. For example, the judgment condition "C4" is composed of a combination of a first individual judgment condition related to the uric acid level, a second individual judgment condition related to the presence or absence of medication, and a third individual judgment condition related to numbness in the body. As an example, in the judgment condition "C4," if the uric acid level is outside the predetermined reference range and medication is administered, but as a result, the symptom of numbness in the body occurs, a match is determined.

[0040] Returning to FIG. 4 , the explanation will be continued. The information acquisition unit 303a and the analysis unit 304 are examples of the information acquisition unit 303 described above. The information acquisition unit 303a acquires media data from the clinic terminal 100 via the network N. The media data is audio data and video data obtained during a medical examination by a doctor at the clinic, particularly during a medical interview. The information acquisition unit 303a transmits the acquired media data to the analysis unit 304.

[0041] The analysis unit 304 is also called an analysis means. The analysis unit 304 generates condition analysis information by analyzing the condition of the target patient based on the media data. The condition analysis information includes information indicating the condition of the target patient, which is the analysis result. In other words, the condition analysis information is information detected from the movement or voice of the target patient.

[0042] For example, the analysis unit 304 detects a state of neck pain from video data in which the target patient places their hands on their neck. Note that the analysis unit 304 may determine whether the person appearing in the video is the target patient by face recognition. Furthermore, for example, the analysis unit 304 detects a state of neck pain from voice data in which the target patient says, "My neck has been hurting lately." Whether or not the statement is made by the target patient may be determined by the analysis unit 304 through voiceprint analysis. The analysis unit 304 may also detect a state of neck pain from a combination of video data and audio data. For example, the analysis unit 304 may determine a state of neck pain from video data of the target patient placing his / her hand on his / her neck and audio data of the target patient saying, "Ouch, that hurts..."

[0043] The analysis unit 304 then generates patient information including the condition analysis information. The patient information may be the condition analysis information itself, or may include medical record information, which is information recorded in a medical record, in addition to the condition analysis information. The medical record information is the examination results entered by a doctor and may include special notes during the medical interview, test results, or treatment status such as medication. The medical record information may be acquired from the clinic terminal 100 via the network N. The analysis unit 304 then supplies the patient information of the target patient to the determination unit 305a.

[0044] The determination unit 305a is an example of the above-mentioned determination unit 305. When the patient information satisfies any of the determination conditions registered in the determination condition DB 302, the determination unit 305a issues a match determination for the satisfied determination condition. Then, the determination unit 305a refers to the determination condition DB 302 and identifies the hospital that set the satisfied determination condition.

[0045] The process control unit 306a is an example of the above-mentioned process control unit 306. The process control unit 306a identifies the identified setting source hospital as the second institution.

[0046] Here, if there are multiple identified setting source hospitals, the process control unit 306a may select one of the multiple setting source institutions as the second institution. In this case, the process control unit 306a may select the second institution based on registration information related to at least one of the target patient, the clinic, and the setting source hospital.

[0047] The registration information about the target patient may be acquired from a user terminal (not shown) used by the target patient and may be registered in advance in a registration DB (not shown) by the server 300. The registration information about the target patient may include attribute information such as the target patient's age or gender, home address, contact information, or name of the patient's regular hospital. The registration information about the target patient may also include information about the patient's preferences, such as a preference for an experienced doctor. Registration information about the clinic may be acquired from the clinic terminal 100 and registered in advance in the registration DB by the server 300. Examples of registration information about the clinic include the address of the clinic or the name of the hospital affiliated with the clinic. The registration information regarding the setting source hospital may be acquired from the setting source hospital terminal 200 of the setting source hospital and may be registered in advance in the registration DB by the server 300. The registration information regarding the setting source hospital may be setting source hospital information of the setting source hospital. The registration information regarding the setting source hospital may also include the urgency of the case data and the progress of case data collection.

[0048] This allows the process control unit 306a to select a setting source hospital that is close to the target patient's home or clinic as the second institution.The process control unit 306a can also select a setting source hospital that meets the target patient's needs as the second institution.The process control unit 306a can also prioritize setting source hospitals with a high level of urgency or setting source hospitals with little case data in their selection as the second institution.

[0049] The process control unit 306a then notifies the clinic terminal 100 of the setting source hospital information related to the second institution and causes it to be output. Then, as a matching process, the process control unit 306a executes support for the doctor at the clinic to prepare a referral letter addressed to the second institution. The preparation support may be outputting a message prompting the doctor to prepare a referral letter, or may be outputting a template for the referral letter. The preparation support may be provided when the patient's consent is obtained.

[0050] 6 is a flowchart showing the flow of the determination condition setting process according to the second embodiment. First, the setting source hospital terminal 200 transmits a setting request to the server 300 (S100). For example, the setting request includes a disease ID, a determination condition, and a setting source hospital ID. Next, the setting unit 301 of the server 300 associates the disease ID and the determination condition included in the setting request with the setting source hospital ID included in the setting request and registers them in the determination condition DB 302 (S101).

[0051] Fig. 7 is a sequence diagram showing an example of the flow of the matching process according to the second embodiment. In Fig. 7, the media data is video data and audio data at the time of the medical interview of the target patient. First, the clinic terminal 100 acquires the media data at the time of the medical interview from the camera 110 and the microphone 120 (S110). Then, the clinic terminal 100 transmits the media data to the server 300 (S111). As a result, the information acquisition unit 303a of the server 300 acquires the media data.

[0052] Next, the analysis unit 304 of the server 300 analyzes the media data (S112) and generates condition analysis information based on the media data (S113). The analysis unit 304 then generates patient information including the condition analysis information (S114). For example, if the server 300 has acquired medical record information, it generates patient information including the condition analysis information and the medical record information. Next, the determination unit 305a determines whether any of the determination conditions registered in the determination condition DB 302 is satisfied by the patient information of the target patient (S115). Next, the process control unit 306a identifies the setting source hospital of the matched determination condition and sets this as the second institution (S116). Next, the process control unit 306a transmits the setting source hospital information associated with the setting source hospital ID of the second institution to the clinic terminal 100 (S117). The setting source hospital information may include the hospital name, address, doctor's name, and disease ID.

[0053] The clinic terminal 100 that has received the setting source hospital information executes support for creating a referral letter automatically or based on an operation by the doctor at the clinic after outputting the setting source hospital information (S118).

[0054] The display screen of the clinic terminal 100 in this case is shown in FIG. 8. FIG. 8 is a diagram showing an example of the display of the clinic terminal 100 according to the second embodiment. For example, the display unit of the clinic terminal 100 may display that the target patient is suspected of having disease "D1" and that the setting source hospital "H1" is collecting case data. The display unit of the clinic terminal 100 may then display an operation area for outputting a template for a referral letter addressed to the setting source hospital "H1." If the relevant person obtains the target patient's consent, they may operate this operation area to output the template.

[0055] According to the second embodiment, the server 300 can remotely match target patients with setting hospitals that collect case data related to specific diseases. The setting hospitals can collect case data for research subjects without geographical restrictions or with minimal increase in effort, i.e., efficiently. Meanwhile, target patients can receive treatment at setting hospitals with specialists for the suspected disease or transfer to other hospitals simply by visiting or visiting a clinic.

[0056] In the second embodiment, the server 300 uses patient information generated based on audio data or video data of the target patient when visiting the clinic or during the examination for the assessment process. Therefore, the server 300 can include in the patient information minute changes in the target patient that cannot be obtained directly from the medical record. This allows the server 300 to perform the assessment process based on minute changes in the target patient.

[0057] <First Modification of Second Embodiment> The matching process may be, instead of or in addition to supporting the creation of a referral letter, the provision of patient information to the setting source hospital terminal 200. That is, the process control unit 306a of the server 300 transmits the patient information to the setting source hospital terminal 200 when at least one determination condition is satisfied.

[0058] 9 is a sequence diagram showing the flow of matching processing according to a first modified example of embodiment 2. The steps shown in FIG. 9 include S120 to S122 instead of S117 to S118 in FIG.

[0059] In S120, the process control unit 306a of the server 300 notifies the clinic terminal 100 that the patient information of the target patient satisfies the determination condition. When the clinic terminal 100 obtains the target patient's consent to the provision of information, it notifies the server 300 of this fact (S121). The target patient's consent may be obtained in advance. Then, the process control unit 306a of the server 300 transmits the patient information of the target patient to the setting source hospital terminal 200 of the second institution (S122).

[0060] It is not essential to obtain the consent of the target patient, and the processes of S120 to S121 may be omitted. When transmitting the patient information of the target patient, the process control unit 306a may transmit personal information (e.g., attribute information) of the target patient to the setting source hospital terminal 200 of the second institution, but may conceal the personal information to ensure the privacy of the target patient.

[0061] Furthermore, if the target patient has been changing hospitals for the same symptoms, in other words, has been passed around from one hospital to another, the process control unit 306a of the server 300 may transmit this information to the setting source hospital terminal 200 of the second institution along with the patient information of the target patient. This allows the setting source hospital terminal 200 to be informed of the specificity of the target patient's symptoms or the need for a medical examination by a specialist. It also reduces the psychological burden on the target patient.

[0062] 10 is a diagram showing an example of the display of the setting source hospital terminal 200 according to the first modified example of embodiment 2. The display unit of the setting source hospital terminal 200 that has received the patient information displays that there is a patient suspected of having disease "D1," and displays the medical record and information related to the medical interview as the patient information.

[0063] <Second Modification of Second Embodiment> The matching process may support the setting source hospital in making a reservation instead of or in addition to supporting the creation of a referral letter. For example, when at least one determination condition is satisfied, the process control unit 306a of the server 300 accesses the reservation server 210 of the setting source hospital and sends a request for a consultation reservation to the reservation server 210.

[0064] 11 is a sequence diagram showing the flow of matching processing according to a second modified example of embodiment 2. The steps shown in FIG. 9 include S130 to S135 instead of S117 to S118 in FIG.

[0065] In S130, the process control unit 306a of the server 300 notifies the clinic terminal 100 that the patient information of the target patient satisfies the judgment condition. This notification may include information about the setting source hospital. When the clinic terminal 100 obtains the target patient's consent for the appointment, it notifies the server 300 of this fact (S131). At this time, the clinic terminal 100 may send information about candidate appointment dates presented by the target patient to the server 300. Next, the process control unit 306a of the server 300 sends a consultation appointment request to the appointment server 210 of the second institution (S132). The appointment request may include the doctor name, medical department, and candidate appointment dates of the setting source hospital terminal 200. The appointment server 210 executes appointment processing based on the appointment request (S133). Then, when the appointment processing is completed, the appointment server 210 sends a completion notification to the clinic terminal 100 via the server 300 (S134-S135). Instead of S131 to S133, the clinic terminal 100 may directly send a reservation request to the reservation server 210. In this case, the clinic terminal 100 may send the reservation request to the reservation server 210 when the clinic terminal 100 obtains consent from the target patient regarding the reservation.

[0066] FIG. 12 is a diagram showing an example of the display of the clinic terminal 100 according to the second modification of the second embodiment. Upon receiving the notification in S130, the display unit of the clinic terminal 100 displays a message indicating that the target patient is suspected of having disease "D1" and that the setting source hospital "H1" is collecting case data. The display unit of the clinic terminal 100 may then display an operation area for booking an appointment at the setting source hospital "H1." The relevant person operates this operation area to access the appointment booking site, and upon obtaining the target patient's consent, sends an appointment request to the appointment server 210.

[0067] <Third Modification of Second Embodiment> In the above description, the determination unit 305a determines that a determination condition is satisfied when all individual determination conditions constituting the same determination condition are satisfied. Here, the information acquisition unit 303a of the server 300 may acquire media data of the patient at predetermined intervals, and the analysis unit 304 may generate patient information in response to the acquisition of the media data. Then, the determination unit 305a may sequentially determine whether each individual determination condition is satisfied in response to the generation of the patient information. When the patient information satisfies an individual determination condition for determining a certain condition included in a certain determination condition, the determination unit 305a may transmit question information to the clinic terminal 100 for determining the individual determination conditions related to the remaining conditions. Then, the determination unit 305a may cause the clinic terminal 100 to output the question information.

[0068] For example, suppose a target patient is being interviewed by a doctor at the clinic terminal 100, and the server 300 detects that the patient has symptoms of "dizziness" and "abdominal pain." The symptoms of "dizziness" and "abdominal pain" satisfy the first and second individual judgment conditions that constitute judgment condition "C3." In this case, the clinic terminal 100 may be caused to output the question "Do you have hearing loss?" in order to inquire about the remaining third individual judgment condition that constitutes judgment condition "C3." This allows the target patient to be asked questions about the remaining individual judgment conditions in real time by shortening the intervals between acquisition of media data and execution of other processes.

[0069] Furthermore, when a predetermined percentage or more of the individual judgment conditions that make up the same judgment condition are met, the judgment unit 305a may output question information regarding the remaining individual judgment conditions of the judgment condition to the clinic terminal 100.

[0070] 13 is a flowchart showing an example of the flow of analysis and determination processing according to the third modified example of embodiment 2. The analysis processing corresponds to S112 to S114 in FIGS. 7, 9, and 11, and the determination processing corresponds to S115 in FIGS. First, when the information acquisition unit 303a of the server 300 starts receiving media data of the target patient (Yes in S20), the analysis unit 304 analyzes the received media data (S21). Then, the analysis unit 304 generates condition analysis information based on the media data (S22), and generates patient information including the condition analysis information (S23).

[0071] Next, the determination unit 305a determines whether the patient information of the target patient satisfies any of the individual determination conditions included in any of the determination conditions (S24). If the patient information of the target patient does not satisfy any of the individual determination conditions (No in S24), the determination unit 305a returns the process to S21. On the other hand, if the patient information of the target patient satisfies any of the individual determination conditions (Yes in S24), the determination unit 305a proceeds to S25.

[0072] In S25, the determination unit 305a generates question information for determining the undetermined individual determination conditions included in the determination conditions including the matched individual determination condition (S25). Next, the determination unit 305a outputs the question information to the clinic terminal 100 (S26).

[0073] The server 300 repeats S21 to S26 until the information acquisition unit 303a finishes receiving the media data. When the information acquisition unit 303a finishes receiving the media data (Yes in S27), the server 300 executes a pass / fail determination based on the determination results performed up to this point to determine whether or not there is a determination condition that satisfies all of the individual determination conditions (S28). The server 300 then ends the analysis and determination process.

[0074] In this way, the server 300 asks questions to the clinic terminal 100 according to the judgment results of the individual judgment conditions, so that even if the doctor at the clinic does not understand the contents of the specified judgment conditions, the patient information that forms the basis of the judgment can be obtained without any omissions.

[0075] <Embodiment 3> Next, a third embodiment of the present disclosure will be described. In the second embodiment, the determination unit 305a performs the determination process using a determination condition for determining whether a specific condition exists or whether the specific condition is within a reference range. However, in the third embodiment, the determination unit 305a determines that the determination condition is satisfied when the specific condition of the target patient is similar to the specific condition of the reference patient. In other words, the determination condition includes a proximity determination condition based on the similarity between the condition of the target patient and the condition of the reference patient. The reference patient is a patient who has previously been diagnosed by a doctor at the setting source hospital as suspected of having a specific disease. For example, the proximity determination condition is a condition for determining whether a value indicating the proximity between the patient information of the target patient and the patient information of the reference patient is less than a predetermined threshold. In this case, the patient information may be a feature or a feature vector indicating the condition related to a specific determination item. The feature or the feature vector may be extracted from media data.

[0076] FIG. 14 is a diagram illustrating the determination process according to the third embodiment. The determination process corresponds to S115 in FIGS. 7, 9, and 11. FIG. 14 shows a space representing a feature vector having feature A and feature B as elements. For example, feature A and feature B are extracted from video data as features indicating the state level of a predetermined determination item. Each black circle (●) in this figure represents a feature vector composed of features extracted from video data of each reference patient diagnosed with a disease. Furthermore, each white circle (◯) represents a feature vector composed of features extracted from video data of a target patient. For example, the determination unit 305a calculates the distance between the white circle and the black circle and determines whether the distance is less than a predetermined threshold. The determination unit 305a may calculate the distance between the white circle and the black circle using a known method such as the group average method or Ward's method.

[0077] Here, the feature quantity to be extracted and the feature vector to be generated is determined for each judgment condition. The threshold value for the proximity may be constant regardless of the judgment condition, or may be determined for each judgment condition. For example, if the distance calculated using the feature vector determined under a certain judgment condition is less than the threshold value determined under that judgment condition, the judgment unit 305a determines that the judgment condition is satisfied.

[0078] 15 is a flowchart showing an example of the flow of the determination process according to the third embodiment. First, the determination unit 305a of the server 300 repeats the processes shown in S30 to S31 for each determination condition registered in the determination condition DB 302. In S30, the determination unit 305a of the server 300 calculates the distance between the patient information of the target patient and the patient information of the reference patient based on the determination condition. Next, in S31, the determination unit 305a determines whether the distance is less than a threshold value for the determination condition.

[0079] Next, in S32, the determination unit 305a determines whether or not there is a determination condition that satisfies the distance determination. If there is a determination condition that satisfies the distance determination (Yes in S32), the determination unit 305a determines that the determination condition is met (S33). On the other hand, if there is no determination condition that satisfies the distance determination (No in S32), the determination unit 305a determines that none of the determination conditions apply (S34). Then, the determination unit 305a ends the determination process.

[0080] As described above, according to the third embodiment, the server 300 determines that the determination condition is satisfied when the specific condition of the target patient is similar to the specific condition of the reference patient, so that minute changes in the target patient can be reflected in the determination process, thereby improving the accuracy of the determination.

[0081] <Embodiment 4> Next, a fourth embodiment of the present disclosure will be described. In the above-described second and third embodiments, the server 300 executes a matching process when patient information including condition analysis information based on media data satisfies the determination condition. Here, a doctor at a clinic or a setting source hospital may want to check the media data on which the determination result is based and examine the validity of the determination result. Therefore, in the fourth embodiment, the server 300b generates a summary of the media data and transmits it to the clinic terminal 100 or the setting source hospital terminal 200.

[0082] 16 is a block diagram showing the configuration of a server 300b according to embodiment 4. The server 300b includes a generating unit 307 and a processing control unit 306b instead of the processing control unit 306a of the server 300 described above.

[0083] The generation unit 307 is also referred to as a generation means. The generation unit 307 generates summary data by extracting a portion of the audio data or video data related to the state analysis information. For example, the generation unit 307 may extract a portion of the audio data or video data used to generate the state analysis information. The generation unit 307 may also use the remaining portion of the audio data or video data as summary data after removing sections of the audio data or video data in which no speech or no action is present, or sections in which the relevance to the state is less than a predetermined threshold. The generation unit 307 may also use the remaining portion of the audio data or video data as summary data after removing sections in which overlapping utterances or overlapping actions are performed. The generation unit 307 may also generate summary data by editing the media data so as to emphasize utterances or actions highly related to the state. For example, the generation unit 307 may emphasize utterances or actions by increasing the volume of utterances whose relevance to the state is greater than or equal to a predetermined threshold, or by enlarging the area of ​​action in scenes in which the action is performed whose relevance to the state is greater than or equal to a predetermined threshold.

[0084] If at least one determination condition is satisfied, the process control unit 306b transmits the summary data to the clinic terminal 100 or the setting source hospital terminal 200. Then, the process control unit 306b causes the clinic terminal 100 or the setting source hospital terminal 200 to output the summary data.

[0085] 17 is a sequence diagram showing the flow of the matching process according to the embodiment 4. The steps in FIG. 17 include steps S140 to S141 instead of S122 in FIG. First, the information processing system 1a executes the same processes as S110 to S116 and S120 to S121 in Fig. 9. Next, the generation unit 307 of the server 300b generates summary data at the time of the medical interview based on the media data at the time of the medical interview (S140). Next, the process control unit 306b of the server 300b transmits the summary data together with the patient information to the setting source hospital terminal 200 (S141). By the setting source hospital terminal 200 outputting the summary data, the doctor at the setting source hospital terminal 200 can easily check the validity of the assessment result before examining the target patient.

[0086] The process shown in S140 may be performed in parallel with the analysis process and the determination process, or may be performed in response to a match determination being made in S115.

[0087] <Embodiment 5> Next, a fifth embodiment of the present disclosure will be described. In the second to fourth embodiments, the video data is obtained by capturing an image of a target patient visiting the clinic using a camera 110 installed in the clinic, and the audio data is obtained by capturing the audio of the target patient visiting the clinic using a microphone 120. However, in the fifth embodiment, the target patient receives online medical care. Therefore, in the fifth embodiment, the video data is obtained by capturing an image of the target patient at a remote facility such as their home or a simple clinic, and the audio data is obtained by capturing the audio of the target patient at the remote facility.

[0088] 18 is a block diagram showing the overall configuration of an information processing system 1c according to embodiment 5. The information processing system 1c includes a remote facility system 40 in addition to the configuration of the information processing system 1a.

[0089] The remote facility system 40 is a computer system installed in the remote facility of the target patient. The remote facility system 40 includes a remote facility terminal 400, a camera 410, and a microphone 420. The camera 410 and the microphone 420 are installed in the remote facility of the target patient. The camera 410 captures images of the target patient at the remote facility, and the microphone 420 collects the voice of the target patient at the remote facility. The camera 410 and the microphone 420 then transmit the video data and audio data to the remote facility terminal 400.

[0090] The remote facility terminal 400 is an information terminal installed in the remote facility or an information terminal managed by a person related to the remote facility. The remote facility terminal 400 may be a personal computer, smartphone, or tablet terminal used by a user. The remote facility terminal 400 transmits media data acquired from the camera 410 and microphone 420 to the clinic terminal 100 via the network N. The remote facility terminal 400 also receives video data captured by the camera 110 and audio data collected by the microphone 120 from the clinic system 10 via the network N. This allows a doctor at the clinic to observe the condition of the target patient and perform an examination. The camera 110 of the clinic system 10 may be omitted. The remote facility terminal 400 also transmits media data acquired from the camera 410 and microphone 420 to the server 300 via the network N.

[0091] The analysis unit 304 of the server 300 then analyzes the media data acquired from the camera 410 and microphone 420 via the remote facility terminal 400 to generate condition analysis information and patient information. Note that the analysis unit 304 of the server 300 may also include the media data acquired from the camera 110 and microphone 120 via the clinic terminal 100 as the basis for analysis.

[0092] Thus, according to the fifth embodiment, the same effects as those of the second to fourth embodiments can be achieved in online medical care.

[0093] Although the above-described embodiments have been described as hardware configurations, the present disclosure is not limited to such configurations. Any processing in the present disclosure can also be realized by causing a processor to execute a computer program.

[0094] 19 is a diagram showing an example of the configuration of a computer used as the clinic terminal 100, the setting source hospital terminal 200, the reservation server 210, or the servers 300 and 300b. The computer 1000 has a processor 1010, a storage unit 1020, a ROM (Read Only Memory) 1030, a RAM (Random Access Memory) 1040, a communication interface (IF) 1050, and a user interface 1060.

[0095] The communication interface 1050 is an interface for connecting the computer 1000 to a communication network via wired communication means or wireless communication means. The user interface 1060 includes a display unit such as a display. The user interface 1060 also includes an input unit such as a keyboard, a mouse, and a touch panel. The user interface 1060 is not essential.

[0096] The storage unit 1020 is an auxiliary storage device that can store various types of data. The storage unit 1020 does not necessarily have to be a part of the computer 1000, but may be an external storage device or a cloud storage connected to the computer 1000 via a network.

[0097] The ROM 1030 is a non-volatile storage device. For example, a semiconductor storage device with a relatively small capacity, such as a flash memory, is used for the ROM 1030. The programs executed by the processor 1010 can be stored in the storage unit 1020 or the ROM 1030. The storage unit 1020 or the ROM 1030 stores various programs for realizing the functions of each unit in the server, for example.

[0098] In the above examples, the program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored on a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disc or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may also be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0099] The RAM 1040 is a volatile storage device. Various semiconductor memory devices such as a dynamic random access memory (DRAM) or a static random access memory (SRAM) are used for the RAM 1040. The RAM 1040 can be used as an internal buffer for temporarily storing data, etc. The processor 1010 loads a program stored in the storage unit 1020 or the ROM 1030 into the RAM 1040 and executes it. The processor 1010 may be a central processing unit (CPU) or a graphics processing unit (GPU). The processor 1010 executes a program to realize the functions of each unit in the server. The processor 1010 may have an internal buffer for temporarily storing data, etc.

[0100] The present disclosure is not limited to the above-described embodiment, and can be modified as appropriate within the scope of the present disclosure.

[0101] A part or all of the above-described embodiments can be described as, but not limited to, the following supplementary notes. (Appendix 1) an information acquisition means for acquiring patient information indicating the condition of a patient who has visited a first institution or who has been examined by a person associated with the first institution; a determination means for determining whether the patient information satisfies at least one of predetermined determination conditions; a processing control means for executing a process for matching the patient with a second institution included in the setting source institution associated with the satisfied judgment condition when the at least one judgment condition is satisfied; Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition. Information processing system. (Appendix 2) When the at least one determination condition is satisfied, the processing control means notifies the terminal of the first institution of information regarding the second institution, or transmits the patient information to the terminal of the second institution. 10. The information processing system of claim 1. (Appendix 3) When there are a plurality of setting originating institutions associated with the satisfied determination condition, the processing control means selects the second institution from the plurality of setting originating institutions based on registration information regarding at least one of the patient, the first institution, and the setting originating hospital. 3. The information processing system according to claim 1 or 2. (Appendix 4) The patient information includes condition analysis information generated by analyzing the condition of the patient based on audio data or video data of the patient at the time of interview by the person in charge of the first institution. 4. An information processing system according to any one of claims 1 to 3. (Appendix 5) a generating unit for generating summary data by extracting a portion of the audio data or the video data that is related to the condition analysis information; The processing control means transmits the summary data to the terminal of the first institution or the terminal of the second institution when the at least one determination condition is satisfied. 5. The information processing system of claim 4. (Appendix 6) The patient information includes information recorded in a medical record. 6. An information processing system according to any one of appendices 1 to 5. (Appendix 7) the judgment conditions include a combination of individual judgment conditions for each of a plurality of judgment items, When the patient information matches individual judgment conditions for some of the judgment items among the judgment conditions, the judgment unit outputs question information for judging the individual judgment conditions for the remaining judgment items to the first institution. 7. An information processing system according to any one of appendices 1 to 6. (Appendix 8) The judgment conditions include a proximity judgment condition for determining whether a value indicating the proximity between the patient information of the patient and the patient information of a patient who has been previously diagnosed as suspected of having the predetermined disease is less than a predetermined threshold. 7. An information processing system according to any one of appendices 1 to 6. (Appendix 9) A setting means is provided for registering, for each judgment condition, information relating to the institution that set the judgment condition in association with the judgment condition. 9. An information processing system according to any one of appendices 1 to 8. (Appendix 10) obtaining patient information indicating the condition of a patient who has visited a first institution or been examined by a person associated with said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition. Information processing methods. (Appendix 11) obtaining patient information indicating the condition of a patient who has visited a first institution or been examined by a person associated with said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. A non-transitory computer-readable medium storing a program for causing a computer to execute the following: Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition. Non-transitory computer-readable medium. [Explanation of symbols]

[0102] 1,1a Information Processing System 10 Clinic System 20 Original hospital system 40 Remote Facility System 100 Clinic Terminals 110 Camera 120 Microphone 200 Setting source hospital terminal 210 Reservation Server 300, 300b Information processing device (server) 301 Settings 302 Judgment condition DB 303,303a Information acquisition section 304 Analysis Department 305,305a Judgment part 306, 306a, 306b Processing control unit 307 Generation part 400 Remote Facility Terminal 410 Camera 420 Microphone 1000 computers 1010 processor 1020 Storage section 1030 ROM 1040 RAM 1050 Communication Interface 1060 User Interface N Network

Claims

1. an information acquisition means for acquiring patient information indicating the condition of a patient who has visited a first institution or who has been examined by a person associated with the first institution; a determination means for determining whether the patient information satisfies at least one of predetermined determination conditions; a processing control means for executing a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition when the at least one determination condition is satisfied; Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition; When there are a plurality of setting originating institutions associated with the satisfied determination condition, the processing control means selects the second institution from the plurality of setting originating institutions based on registration information regarding at least one of the patient and the first institution. Information processing system.

2. When the at least one determination condition is satisfied, the processing control means notifies the terminal of the first institution of information regarding the second institution, or transmits the patient information to the terminal of the second institution. The information processing system according to claim 1 .

3. The patient information includes condition analysis information generated by analyzing the condition of the patient based on audio data or video data of the patient at the time of interview by the person in charge of the first institution.

3. The information processing system according to claim 1 or 2.

4. a generating unit for generating summary data by extracting a portion of the audio data or the video data that is related to the condition analysis information; The processing control means transmits the summary data to the terminal of the first institution or the terminal of the second institution when the at least one determination condition is satisfied. The information processing system according to claim 3 .

5. The patient information includes information recorded in a medical record. The information processing system according to any one of claims 1 to 4.

6. the judgment conditions include a combination of individual judgment conditions for each of a plurality of judgment items, When the patient information matches individual judgment conditions for some of the judgment items among the judgment conditions, the judgment means outputs question information for judging the individual judgment conditions for the remaining judgment items to the first institution. The information processing system according to any one of claims 1 to 5.

7. The judgment conditions include a proximity judgment condition for determining whether a value indicating the proximity between the patient information of the patient and the patient information of a patient who has been diagnosed in the past as suspected of having the predetermined disease is less than a predetermined threshold. The information processing system according to any one of claims 1 to 5.

8. An information acquisition means for acquiring patient information indicating the condition of a patient who has visited a first institution or who has been examined by a person associated with said first institution; a determination means for determining whether the patient information satisfies at least one of predetermined determination conditions; a processing control means for executing a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition when the at least one determination condition is satisfied; Equipped with Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition; the judgment conditions include a combination of individual judgment conditions for each of a plurality of judgment items, When the patient information matches individual judgment conditions for some of the judgment items among the judgment conditions, the judgment means outputs question information for judging the individual judgment conditions for the remaining judgment items to the first institution. Information processing system.

9. The computer obtaining patient information indicating the condition of patients who have visited a first institution or been examined by a person associated with said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. An information processing method for performing Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition; In the step of executing the process, when there are multiple setting originating institutions associated with the satisfied determination condition, the second institution is selected from the multiple setting originating institutions based on registration information related to at least one of the patient and the first institution. Information processing methods.

10. obtaining patient information indicating the condition of patients who have visited a first institution or been examined by personnel of said first institution; a step of determining whether the patient information satisfies at least one of predetermined determination conditions; If the at least one determination condition is satisfied, a process for matching the patient with a second institution included in the setting source institution associated with the satisfied determination condition is executed. A program for causing a computer to execute the above, Each of the predetermined judgment conditions is a condition for determining whether a predetermined disease is suspected, and is associated with a setting institution that is an institution that has set the judgment condition; In the step of executing the process, when there are multiple setting originating institutions associated with the satisfied determination condition, the second institution is selected from the multiple setting originating institutions based on registration information related to at least one of the patient and the first institution. program.

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