Differential disease search system, differential disease search program, and differential disease search method

Abstract

We provide a differential disease search system, method, and program that can be used not only to support the diagnostic work of doctors and other medical professionals, but also to allow general users to input their own symptoms and / or findings and identify possible diseases in the optimal display order. [Solution] In the differential disease retrieval system 0, the differential disease retrieval device 1 includes a database, a disease candidate identification unit, and a ranking unit. The database stores disease information related to a disease and disease characteristic information linked to symptom and / or finding information related to symptoms and / or findings caused by the disease, and disease relationship information indicating the degree of relationship between the disease and the patient's history. The disease candidate identification unit accepts input of symptom input information related to symptoms and / or findings seen in a patient suffering from a certain disease, and identifies disease candidates based on the symptom input information and the disease characteristic information. The ranking unit accepts input of patient history information, and ranks the identified disease candidates based on the patient history information and the disease relationship information.

Description

[Technical field]

[0001] The present invention relates to a differential disease retrieval system, a differential disease retrieval program, and a differential disease retrieval method. [Background technology]

[0002] Due to the diversification of clinical tests and treatments, the complexity of medical fee billing procedures, and the increase in foreign patients, the amount of work required to treat one patient is constantly increasing in clinical settings, making clinical settings extremely busy. In particular, the interview, examination, and testing procedures for new patients who have not yet been diagnosed are complicated, which places a significant burden and exhaustion on emergency physicians and internists who deal with this, and the number of doctors in this field continues to decrease. For this reason, it is becoming extremely difficult to maintain and improve the quality of medical care in terms of making appropriate diagnoses and proceeding with treatment for undiagnosed patients. In addition, with the traditional personal medical treatment style by doctors, the number of patients that can be treated per unit time is limited, and there is a constant stream of patients who cannot receive an appropriate diagnosis due to insufficient interviews, examinations, and tests, and suffer disadvantages due to misdiagnosis and delayed diagnosis. If we consider medical treatment from the perspective of information processing, the process of diagnosing a disease (the process of interviewing the patient, examining them, and testing them) is all a process of gathering information to reach a diagnosis, and the act of the doctor considering a diagnosis is the identification of the disease by comparing the collected information with the clinical features of known diseases.

[0003] On the other hand, conventional disease identification by matching collected information with disease clinical symptoms displays search results for sites containing related information by searching medical books, site information on the Internet, and PDFs of medical papers, etc., and is not able to comprehensively search for possible diseases for a certain symptom or finding. In addition, it is necessary to read information on the site, medical books, and medical papers, and it does not meet the needs of the medical field, which requires rapid disease identification. In response to this, an example of a system that supports disease identification for a certain symptom or finding is proposed in, for example, Patent Document 1.

[0004] For example, Patent Document 1 describes a method for accepting input of symptom input information, and then accepting new symptom input information, determining whether the symptom cluster information of the multiple symptom input information is identical, and if the symptom clusters are different, identifying common disease information among the disease information linked to the symptom input information as differential disease information, and if the symptom cluster information is identical, identifying all disease information linked to the symptom input information as differential disease information. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2023-177575 A Summary of the Invention [Problem to be solved by the invention]

[0006] However, in Patent Document 1, because symptoms are selected from a preset list of symptoms, there is a problem of low search freedom, and there is a functional limit that cannot meet the wide range of search needs of users. In addition, Patent Document 1 assumes that the user is a doctor, and searches are mainly by medical terminology, so in Patent Document 1, the users who can use the system are limited, and it is difficult for medical professionals other than doctors such as nurses to use it, and searches for diseases by general users are not assumed. However, the current situation is that the practice of team medicine is the main focus in clinical sites today, and in the field of medical care, even specialists other than doctors such as nurses and laboratory technicians are required to be able to anticipate and respond to possible diseases. Furthermore, there is a problem of asymmetry of medical knowledge between patients and medical professionals, and a system is required that general users can easily learn about possible diseases by inputting their own or their family's symptoms and findings. In addition, Patent Document 1 does not have a function for ranking diseases, so even diseases with low incidence rates may be displayed at the top, which is considered to be a problem in terms of practicality.

[0007] In view of the above problems, the present invention aims to provide technology that can be used not only to support the diagnostic work of a wide range of medical professionals, including doctors, but also to enable general users to input their own symptoms and / or findings and identify possible diseases in an optimal display order. [Means for solving the problem]

[0008] In order to solve the above problems, the present invention provides a differential disease retrieval system for searching for diseases, the differential disease retrieval system comprising a database, a disease candidate identification unit, and a ranking unit, the database stores disease information relating to a disease, disease characteristic information linking symptom and finding information relating to symptoms and / or findings that may occur in the disease, and disease relationship information indicating the degree of relationship between the disease and a patient's history, the disease candidate identification unit accepts input of symptom input information relating to symptoms and / or findings seen in the patient, which is information relating to a patient suffering from a certain disease, and identifies a disease candidate based on the symptom input information and the disease characteristic information, and the ranking unit accepts input of patient history information and ranks the identified disease candidates based on the patient history information and the disease relationship information.

[0009] In a more preferred embodiment, the disease relationship information has a relationship index linked to each combination of onset risk information and a disease, and the ranking unit calculates a relationship integrated value by accumulating the relationship indices corresponding to the patient history information for each disease based on the disease relationship information and the input patient history information, and ranks the candidate diseases based on the relationship integrated value.

[0010] In this way, the system can identify potential diseases using information related to the patient's symptoms and / or findings, and can rank the identified potential diseases using information related to the patient's history, allowing the user to easily search for diseases that the patient may suffer from.

[0011] In a more preferred embodiment, the differential disease search system further includes a symptom identification unit and a display processing unit, the database stores disease characteristic information linking the symptom finding information with symptom detailed information of the symptoms and / or findings, the symptom identification unit identifies the symptom detailed information based on the input symptom input information, the display processing unit displays the identified symptom detailed information in a specifiable manner, and the candidate disease identification unit identifies the symptom finding information based on the specified symptom detailed information and the disease characteristic information.

[0012] In a more preferred embodiment, the database stores, as the symptom detailed information, one or more symptom observation images in which symptoms and / or findings are captured, linked to the symptom observation information, the symptom identification unit identifies the symptom observation image based on the input symptom input information, the display processing unit displays the identified symptom observation image in a specifiable manner, and the disease candidate identification unit identifies the symptom observation information based on the specified symptom observation image and the disease characteristic information.

[0013] In a more preferred embodiment, the differential disease search system further includes a symptom identification unit and a display processing unit, the database stores the symptom finding information and disease characteristic information linked to the site of onset, the display processing unit displays a site designation image capable of designating the site of onset, the symptom identification unit accepts a selection input of the site of onset via the site designation image and identifies the symptom finding information based on the selected and input site of onset and the disease characteristic information, and the display processing unit displays the identified symptom finding information in a manner that allows it to be designated.

[0014] With this configuration, information about symptoms that the user does not know can be displayed to the user, and it is possible to prevent omission of input of symptoms, thereby enabling the user to more accurately identify disease candidates.

[0015] In a more preferred embodiment, the differential disease search system further includes a display processing unit, the database stores disease-related information, the disease-related information has a hierarchical structure in which a certain disease is a higher-level disease and a disease that causes the higher-level disease is a lower-level disease, and the display processing unit displays the identified disease candidates in association with the lower-level diseases of the disease candidates.

[0016] With this configuration, it is possible to display diseases that are not directly linked to a specified disease but may be associated with the specified disease, thereby helping the user to recall diseases and preventing misdiagnosis.

[0017] In a more preferred embodiment, the differential disease search system further includes a display processing unit, the database stores onset risk information linking location information with onset cause candidate information, and the display processing unit displays the onset cause candidate information so that it can be specified as the patient history information based on the user's past location information and the onset risk information.

[0018] With this configuration, the risk of developing a disease can be displayed so that it can be specified using the user's past location information, and even if the user has forgotten the risk of developing a disease, the user can input the risk of developing a disease. This allows the user to identify disease candidates more accurately.

[0019] In a more preferred embodiment, the database stores a combination of a patient's area of ​​residence, age, sex, and / or time of onset of symptoms, and incidence rate for each disease, and the ranking unit accepts input of the patient's area of ​​residence, age, sex, and / or time of onset of symptoms as the patient history information, and ranks the candidate diseases using the incidence rate for each disease based on the patient's area of ​​residence, age, sex, and / or time of onset of symptoms.

[0020] With this configuration, the user can specify disease candidates using the incidence rate of each disease, thereby enabling the user to specify disease candidates more accurately. Effect of the Invention

[0021] The present invention has the effect of providing technology that is useful not only for supporting the diagnostic work of doctors and other medical professionals, but also for enabling general users to input their own symptoms and / or findings and identify possible diseases in an optimal display order. [Brief description of the drawings]

[0022] [Figure 1] FIG. 1 is a block diagram showing a configuration of a system according to an embodiment. [Diagram 2] FIG. 2 is a hardware configuration diagram of a system according to an embodiment. [Diagram 3] FIG. 2 is a functional block diagram of an apparatus according to one embodiment. [Figure 4] 13 is an example of a disease search screen according to an embodiment. [Diagram 5] 1 is a process flowchart of a system according to an embodiment. [Figure 6] 13 is an example of a disease search screen according to an embodiment. [Figure 7] 13 is an example of a disease search screen according to an embodiment. [Figure 8] 13 is an example of a disease search screen according to an embodiment. [Figure 9] 13 is an example of a disease search screen according to an embodiment. [Figure 10] 13 is an example of a disease search screen according to an embodiment. [Figure 11] 13 is an example of a disease search screen according to an embodiment. [Figure 12] 13 is an example of a disease search screen according to an embodiment. [Figure 13] 13 is an example of a disease search screen according to an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] The present invention will now be described more fully with reference to the accompanying drawings, in which there is shown a preferred embodiment, but which may be embodied in many different forms and is not limited to the embodiments set forth herein.

[0024] For example, the configuration, operation, etc. of the differential disease search system will be described in this embodiment, but a method, device, computer program, etc. with a similar configuration can also achieve the same effects. The program may be stored in a recording medium, or may be provided so as to be downloadable from an external server. By using this recording medium, for example, the program can be installed in a computer, thereby configuring a differential disease search device and a differential disease search system. Here, the recording medium storing the program may be a non-transient recording medium such as a CD-ROM.

[0025] In this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In this embodiment, "information" is represented by, for example, a physical value of a signal value representing a voltage or current, a high or low signal value as a binary bit set consisting of 0 or 1, or a quantum superposition (so-called quantum bit), and communication and calculation can be performed on the circuit in the broad sense. A circuit in the broad sense is a circuit realized by appropriately combining a circuit, circuitry, a processor, a memory, and the like. In other words, a circuit in the broad sense includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a LSI (Large Scale Integration), an ASIC (Application Specific Integrated Circuit), a FPGA (Field-Programmable Gate Array), and the like.

[0026] The present invention relates to a differential disease search system that searches for one or more disease candidates that a patient may suffer from. The present invention accepts input of symptoms and findings seen in the patient from a user, and identifies disease candidates that the patient may suffer from. The identified disease candidates are then sorted and displayed in order of likelihood of onset.

[0027] The findings in this embodiment refer to conditions observed by a doctor when examining or testing a patient, and include physical findings, imaging findings, laboratory findings, and physiological function test findings. In the present invention, the imaging findings include findings found from all imaging test results such as ultrasound, CT (Computed Tomography), MRI (Magnetic Resonance Imaging), RI (Radio Isotope), and endoscopic examination; the laboratory findings include findings found from the results of specimen testing, pathological testing, and / or genetic testing; and the physiological function test findings include findings found from electrocardiograms, electroencephalograms, electromyograms, respiratory function tests, and the like.

[0028] In this embodiment, diseases that indicate a pathological condition are also called diseases. For example, "anemia" is a disease name that indicates a pathological condition that indicates a decrease in red blood cells, and the pathological condition "anemia" is also treated as a disease. In addition, users in this embodiment include medical professionals engaged in medical care and ordinary people with little medical knowledge, and hereinafter, unless otherwise specified, these are collectively referred to as "users."

[0029] <1. System configuration> FIG. 1 is a block diagram showing the configuration of a system according to an embodiment. As shown in FIG. 1, the differential disease search system 0 includes a differential disease search device 1 and a user terminal device 3. In this embodiment, the differential disease search device 1 and the user terminal device 3 are configured to be able to communicate with each other via a communication network NW. In this embodiment, the communication network NW is an IP (Internet Protocol) network when the user terminal device 3 is a terminal device used by the general public, but there is no limit to the type of communication protocol, and there is no limit to the type and scale of the network. In addition, when the user terminal device 3 is a terminal device used by a medical professional, the communication network NW is a LAN (Local Area Network) or an intranet, but there is no limit to the scale of the communication network NW.

[0030] In this embodiment, a general-purpose server computer or a personal computer can be used as the differential disease searching apparatus 1. Furthermore, a smartphone, a tablet terminal, a personal computer, a wearable device, or the like can be used as the user terminal device 3. Furthermore, the differential disease searching apparatus 1 may be configured with a plurality of computers that are capable of transmitting and receiving information via a communication network NW or another network.

[0031] <1.1. Hardware configuration of the present invention> 2 is a hardware configuration diagram of the differential disease retrieval system 0. As shown in FIG. 2(a), the server 10 (differential disease retrieval device 1) includes a processing unit 101, a storage unit 102, and a communication unit 103.

[0032] The processing unit 101 has one or more processors such as a CPU capable of executing an instruction set, and controls the overall operation and processing of the differential disease searching apparatus 1 by executing the differential disease searching program according to the present invention, an OS, and other applications. The storage unit 102 includes a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS and a generation program according to the present invention. The communication unit 103 has a communication interface device with the communication network NW, and controls communication with the communication network NW to input and output information.

[0033] As shown in FIG. 2(b), the terminal device 9 (user terminal device 3) includes a processing unit 91, a storage unit 92, a communication unit 93, an input unit 94, and an output unit 95.

[0034] The processing unit 91 has one or more processors, such as a CPU, capable of executing an instruction set, and controls the overall operation and processing of the terminal device 9 by executing an OS and other applications. The storage unit 92 has a volatile memory such as a RAM capable of storing an instruction set, and a non-volatile recording medium such as an HDD or SSD capable of recording an OS, etc. The storage unit 92 also stores location information of the terminal device 9 from the present to a predetermined period in the past. The communication unit 93 has a communication interface device for connecting to a network, and controls communication with the communication network NW to input and output information. The input unit 94 has an input device capable of input processing, such as a keyboard or a touch panel. The output unit 95 has a display device capable of display processing, such as a display.

[0035] In this embodiment, the output unit 95 of the user terminal device 3 outputs and displays a disease search screen described below by display processing by the display processing unit of the differential disease searching apparatus 1, but the differential disease searching apparatus 1 may also have an input unit and an output unit, and may receive input via the input unit and perform various outputs via the output unit. In this case, the differential disease searching apparatus 1 constitutes the differential disease searching system 0.

[0036] <1.2. System Functional Configuration> Fig. 3 is a functional block diagram of the differential disease retrieval apparatus 1 in embodiment 1. As shown in Fig. 3, the differential disease retrieval apparatus 1 includes a registration unit 11, a candidate disease identification unit 12, a ranking unit 13, a symptom identification unit 14, an examination identification unit 15, a code issuing unit 16, a display processing unit 17, and a database 2. This is a specific realization of information processing by software stored in a storage unit 102 using hardware (a processing unit 101).

[0037] The system configuration in this embodiment is a so-called server-client type in which the client receives the processing result performed by the differential disease search apparatus 1 (server) in response to a request from the user terminal device 3 (client). On the other hand, the system may be a so-called standalone type in which the differential disease search program is started in the client terminal. In this case, the user terminal device 3 may include some or all of the functional configurations (units) of the differential disease search apparatus 1. For example, the user terminal device 3 may include a registration unit 11, a candidate disease identification unit 12, a ranking unit 13, a symptom identification unit 14, an examination identification unit 15, a code issuing unit 16, and a display processing unit 17, and the differential disease search apparatus 1 may be a cloud storage that manages information such as basic disease information.

[0038] <1.3. Registration Section 11> The registration unit 11 stores in the database 2 basic disease information, disease characteristic information, related test information, disease-related information, onset risk information, disease relationship information, symptom and finding unified master, and onset risk unified master.

[0039] <1.3.1. Basic information on the disease> The basic disease information is used to manage diseases displayed to the user. The basic disease information includes a disease ID for uniquely identifying the disease, current disease name, integrated code, category, same disease name, old disease name, abbreviation, English name on which the abbreviation is based, registration date, revision date, revision content, reason for revision, last update date, name of registrant, and approver.

[0040] Here, the current disease name is set as the standard disease name in each era, referring to disease guidelines and the ICD-10 standard disease name master, etc. The integrated code is set as the global standard code, and the WHO ICD-10 or ICD-11 disease code is set. The same disease name is registered when there are multiple names for one disease.

[0041] In this embodiment, the disease ID is identification information specific to this system, but an integrated code may also be used.

[0042] <1.3.2. Disease characteristic information> The disease characteristic information is master information on the onset characteristics of each disease. As the disease characteristic information, disease information, symptom observation information, and evidence information are registered. As the disease information, disease ID, onset mode, morbidity rate, infectiousness information, hereditary information, and age distribution of the affected individuals are registered. The disease information may include basic disease information.

[0043] Here, the onset mode refers to the manner in which a disease develops, and acute, subacute, chronic, persistent, etc. are used. The incidence rates include the incidence rate per population, the incidence rate by age (a combination of age and incidence rate for each disease), the incidence rate by region (a combination of region and incidence rate for each disease), the incidence rate by sex (a combination of sex and incidence rate for each disease), and the incidence rate by time (a combination of season or time and incidence rate for each disease). The infectious information includes the presence or absence of infectiousness and the infection mode. The genetic information includes the presence or absence of hereditaryness and the genetic mode. The evidence information is information that serves as the basis for symptom and observation information presented by the disease, and case reports, literature, etc. are registered.

[0044] The symptom and finding information is information on symptoms and / or findings that may occur due to a disease. As the symptom and finding information, subjective symptoms, physical findings including vital signs, image findings, pathological findings, physiological function test findings, and test data are registered for each disease.

[0045] The subjective symptoms and physical findings are information about symptoms observed in a patient, and are registered in association with detailed symptom information related to the symptoms and / or findings. Here, the detailed symptom information includes major categories such as onset type, symptom intensity, characteristics, aggravating factors, alleviating factors, accompanying symptoms, and preceding symptoms, and detailed symptom items corresponding to the subjective symptoms and physical findings are set for each major category. In addition, symptom finding images, which are images of the onset symptoms, are registered as the detailed symptom information. In addition, the subjective symptoms and physical findings may be registered in association with the onset site where the symptom is observed.

[0046] The test data is data that is generally obtained in clinical practice, and the results of blood counts, biochemical tests, urinalysis, blood gas analysis, etc. are registered.

[0047] <1.3.3. Related Test Information> The related test information is information about a test for identifying a disease. The related test information includes a test ID for uniquely identifying the test, the test name, the test item, and the disease ID.

[0048] <1.3.4. Disease-related information> The disease-related information is information indicating the relationship between diseases. As the disease-related information, a plurality of diseases having a hierarchical structure are registered. In this embodiment, one or a plurality of diseases are registered in each hierarchy. In the following description, a disease at a higher level in the hierarchical structure is called a higher-level disease, and a disease that causes a higher-level disease or a detailed classification disease that classifies a higher-level disease in detail is called a lower-level disease. In addition, the hierarchy of lower-level diseases under each higher-level disease may be one or two or more. Note that a lower-level disease that is two or more levels away may be an indirect cause of a higher-level disease and may coexist with the higher-level disease.

[0049] <1.3.5. Risk information> The onset risk information is information on the cause of onset of a disease. As the onset risk information, risk drug information, preceding risk event information, preceding risk symptom information, risk chronic disease information, risk medical history information, risk medical procedure information, risk lifestyle information, and risk occupation information are registered.

[0050] The risk drug information is information on drugs that pose a risk of developing each disease, and is registered in association with a combination of multiple drugs and a disease ID.

[0051] The preceding risk event information is information on actions taken prior to the onset of a disease, and is registered in association with a candidate cause of onset and a disease ID. In this embodiment, the candidate cause of onset and location information where the action was taken are registered in association with each other.

[0052] The preceding risk symptom information is information on preceding symptoms that existed before the onset of the disease to be searched, and is registered in association with the preceding symptom and the disease ID. For example, a symptom of a viral infection such as "upper respiratory tract infection" is registered in association with the disease "Guillain-Barre syndrome."

[0053] The risk chronic disease information is information on chronic diseases (underlying diseases) that are involved in the onset of a disease, and is registered in association with the underlying diseases and the disease IDs of the diseases to be searched for. The risk medical history information is information on past diseases that are involved in the onset of a disease, and is registered in association with diseases that have developed in the past and are now cured, and the disease IDs of the diseases to be searched for.

[0054] The risk medical procedure information is information on medical procedures performed that are related to the onset of a disease, and is registered in association with the medical procedure and the disease ID. Examples of medical procedures that can be used include surgical history and endoprostheses; for example, a surgical procedure called "gastrostomy" is registered in association with "peritonitis." The lifestyle information is information on lifestyle habits that are related to the onset of a disease, and is registered in association with habitual actions performed over a long period of time and the disease ID. For example, a habitual action such as "avoiding sunlight" is registered in association with "vitamin D deficiency."

[0055] The risk occupation information is information about occupations related to the onset of a disease, and is registered by linking the occupation and the disease ID. For example, the occupation information of "painting" is registered by linking it with "toluene poisoning."

[0056] <1.3.6. Disease-related information> Disease relationship information is master information that indicates the degree of relationship between a disease and onset risk information. As disease relationship information, a relationship index is registered for each combination of disease and onset risk information to be searched. For example, when the disease is "influenza infection," the relationship index of "use of anticancer drugs" in the risk drug information, which is onset risk information, is set to 10; "use of immunosuppressants" is set to 100; and "no use of anticancer drugs or immunosuppressants" is set to 1.

[0057] <1.3.7. Symptoms and findings unified master> The symptom and finding unified master is master information for unifying and managing the notation of symptom input information related to symptoms and / or findings input by a user. In the symptom and finding unified master, multiple symptom input information that can be input by a user is registered for each symptom and finding information.

[0058] <1.3.8. Unified master of onset risk> The unified risk master is master information for unifying and managing the notation of the patient history information input by the user. In the unified risk master, multiple pieces of patient history information that can be input by the user are registered for each disease risk information.

[0059] <1.4.Disease candidate identification unit 12> The disease candidate identifying unit 12 accepts input of patient-related information on a patient suffering from a certain disease and identifies a disease candidate. The disease candidate identifying unit 12 accepts input of patient-related information including symptom input information on symptoms and / or findings observed in the patient, and identifies a disease candidate based on the symptom input information and disease characteristic information.

[0060] <1.5. Ranking section 13> The ranking unit 13 accepts input of patient-related information on a patient suffering from a certain disease and ranks disease candidates. The ranking unit 13 accepts input of patient-related information including patient history information and ranks disease candidates based on the patient history information.

[0061] <1.6.Symptom identification section 14> The symptom identifying unit 14 identifies symptoms and / or findings related to the symptom input information input by the user. The symptom identifying unit 14 identifies symptom detailed information based on the symptom input information. The symptom identifying unit 14 also identifies a symptom finding image as the symptom detailed information based on the symptom input information. The symptom identifying unit 14 also accepts a selection input of a symptom site designated via a site designation image described below, and identifies symptom finding information based on the symptom site.

[0062] <1.7. Inspection Part 15> The examination specifying unit 15 specifies an examination for identifying a disease suffered by a patient from the specified disease candidates. The examination specifying unit 15 specifies examination information for identifying a disease based on the specified disease candidates and related examination information.

[0063] <1.8. Code Issuer 16> The code issuing unit 16 issues a code for sharing the identified information with others. The code issuing unit 16 issues a code for displaying the identified disease candidates and examination information.

[0064] <1.9. Display Processing Unit 17> The display processing unit 17 performs display processing of a disease search screen to be displayed to the user, and causes the display processing result to be displayed on the user terminal device 3. FIG.

[0065] <2. Example of disease search screen> The disease search screen W has an input section W1 (indicated by a long dashed line in the illustrated example) for inputting patient-related information, and a display section W2 (indicated by a two-dot chain line in the illustrated example) for displaying based on the input of patient-related information. The input section W1 has a symptom and finding input section W1a (indicated by a short dashed line in the illustrated example) for receiving input of symptom input information relating to symptoms and / or findings seen in a patient, among the patient-related information, and a history input section W1b (indicated by a one-dot chain line in the illustrated example) for receiving input of patient history information, among the patient-related information.

[0066] In the illustrated example, the symptom finding input unit W1a has a plurality of areas for accepting and displaying subjective symptoms and physical findings, image findings, physiological function test findings, pathological findings, and test findings, and an icon for displaying an area for inputting the onset time of symptoms. The history input unit W1b has a plurality of areas for accepting and displaying medical history input information, chronic disease input information, drug input information, medical practice input information (in the illustrated example, "surgery history" and "endoprosthetic body"), preceding event input information, preceding symptom input information (in the illustrated example, "allergy history"), occupation input information, lifestyle input information, and basic disease information of diseases suffered by family members (in the illustrated example, "family history"). The history input unit W1b also has areas for accepting input of the patient's age, sex, and residential area. The basic disease information of diseases suffered by family members may be used as information for identifying the disease.

[0067] In this embodiment, the input unit W1 accepts input of text data from the user as symptom input information and patient history information, and the input data is displayed in each area. In addition, in the area where subjective symptoms and physical findings are input, symptom observation information specified by an operation on the display unit W2 described below is specified and displayed as symptom input information. In addition, in the area where patient history information is input, onset risk information specified by an operation on the display unit W2 described below is specified and displayed as patient history information.

[0068] In the region in this embodiment where image findings are input, text data of the image findings is input as symptom input information by a user who has confirmed the image findings, and is displayed. On the other hand, text data may be acquired using a known image recognition AI that identifies symptoms from an image in which the symptoms and / or findings are captured, and outputs text data of the symptoms, and the text data may be identified and displayed as symptom input information. Note that instead of using image recognition AI, text data of symptoms may be acquired using a correspondence table that associates images from papers or medical journals with text data of symptoms.

[0069] In the embodiment, in the area where the test findings are input, text data of the test findings is input as symptom input information by the user who has confirmed the test data, and is displayed. On the other hand, the test findings may be read from the test data using a known OCR technique, and the text data of the test findings may be identified as symptom input information and displayed. The symptom input information in the test findings is input or identified based on the result of comparing the test value standard and the test data. For example, when the test data is "white blood cell count 30,000 or less", "abnormal increase in white blood cell count" is input or identified as symptom input information.

[0070] In the area of ​​the history input unit W1b in this embodiment that accepts input of drug input information, the drug input information may be read from data related to drugs such as prescriptions using a known OCR technique, and the text data of the drug input information may be identified and displayed as patient history information. Furthermore, by linking with an external drug information management system, drug input information acquired from the outside may be identified and displayed as patient history information.

[0071] <3. Disease search processing flow> Next, a differential disease search method using the differential disease search system 0 will be described with reference to Figs. 5 to 13. Fig. 5 is a flow chart showing a process in which the display unit W2 is displayed in response to an operation on the input unit W1 of the disease search screen W in Fig. 4, and finally, a specified disease candidate is displayed.

[0072] <3.1. Receiving symptom information input> In step S1 (hereinafter, "step SX" will be simply written as "SX"), the disease candidate identifying unit 12 accepts input of patient-related information including symptom input information. In this embodiment, the disease candidate identifying unit 12 accepts input of patient-related information including symptom input information (subjective symptoms and physical findings, image findings, pathological findings, and test findings) and basic disease information of diseases suffered by family members as information for identifying a disease candidate.

[0073] In this embodiment, the disease candidate identifying unit 12 identifies symptom input information via a symptom finding image. Specifically, the display processing unit 17 receives an instruction from a user to display a site designating image capable of designating an onset site, and performs display processing of the site designating image. The symptom identifying unit 14 receives a selection input of an onset site via the displayed site designating image, and identifies symptom finding information based on the selected and input onset site and the disease characteristic information stored in the database 2. The display processing unit 17 performs display processing of the identified symptom finding information, and causes the display processing result to be displayed on the display unit W2 of the user terminal device 3 so as to be designable. Then, the disease candidate identifying unit 12 identifies the designated symptom finding information as symptom input information.

[0074] Also, based on the designated symptom observation information, a symptom observation image related to the symptom observation information is displayed so as to be specifiable, and the disease candidate identifying unit 12 identifies symptom input information based on the designated symptom observation image. Specifically, the symptom identifying unit 14 identifies one or more symptom observation images linked to the designated symptom observation information based on the disease characteristic information, and the display processing unit 17 performs display processing of the identified symptom observation images, and causes the display processing result to be displayed on the display unit W2 of the user terminal device 3 so as to be specifiable. Then, the disease candidate identifying unit 12 identifies symptom observation information linked to the designated symptom observation image based on the disease characteristic information, and identifies the symptom observation information as symptom input information.

[0075] 6 to 7 are examples of screens displayed on the user terminal device 3 for selecting an onset site and inputting symptom input information. Fig. 6 is an example of a screen on which a site-designated image is displayed on the display unit W2 when an instruction to display the site-designated image (pressing an icon) is received from the user. In the illustrated example, a whole-body image, an oral cavity image, and an image of hands and feet are displayed as the site-designated image. Note that ear and nose images and images of details may also be displayed.

[0076] FIG. 7 is an example of a screen displayed when a site-designating image of 1 is designated in FIG. 6. In the illustrated example, a screen is displayed when an oral cavity image is selected and input in FIG. 6. When a selection input of a symptom onset site is accepted from the user among the oral cavity images displayed by selection and input, a plurality of candidates of symptom finding information linked to the onset site (such as "swollen tonsils" in the illustrated example) are displayed in a specifiable manner on the display unit W2. Then, by selecting and inputting symptom finding information that the patient develops among the plurality of candidates of symptom finding information, the symptom finding information is specified as symptom input information and displayed in an area for inputting subjective symptoms and physical findings of the input unit W1. In addition, a plurality of symptom finding images linked to the selected and input symptom finding information are displayed in a specifiable manner on the display unit W2, and the symptom finding information linked to the specified symptom finding information is specified as symptom input information, and the specified symptom input information is displayed in an area for inputting image findings of the input unit W1.

[0077] As another form of accepting the input of symptom input information via a symptom observation image, the disease candidate identifying unit 12 identifies the symptom input information via a symptom observation image displayed based on the symptom input information input by the user. Specifically, the symptom identifying unit 14 identifies symptom observation information from the input symptom input information based on the symptom observation unified master, and identifies one or more symptom observation images from the symptom observation information based on the symptom observation information and disease characteristic information. The display processing unit 17 performs display processing of the identified symptom observation image, and causes the display processing result to be displayed on the display unit W2 of the user terminal device 3 so as to be specifiable. Then, the disease candidate identifying unit 12 identifies symptom observation information linked to the specified symptom observation image based on the disease characteristic information, and identifies the symptom observation information as symptom input information.

[0078] 8 is an example of a screen displayed on the user terminal device 3, on which a symptom observation image is displayed based on the input symptom input information. In the illustrated example, a plurality of symptom observation images linked to the symptom observation information corresponding to "red urine" input as the symptom input information are displayed on the display unit W2. Then, when the patient selects and inputs a symptom observation image corresponding to a symptom or observation, the symptom observation information linked to the symptom observation image is specified as the symptom input information, and the specified symptom input information is displayed in the area for inputting subjective symptoms and physical findings of the input unit W1 (in the illustrated example, "brown urine").

[0079] In this embodiment, the symptom input information and the symptom observation information are linked, and the symptom observation information and the symptom observation image are linked, so that the symptom observation information is identified based on the symptom input information, an image is identified based on the symptom observation information, and the symptom observation information is identified based on the symptom observation image. On the other hand, the symptom input information and the symptom observation image may be linked, and the symptom observation information and the symptom observation image may be linked, so that the symptom observation image is identified directly from the symptom input information, and the symptom observation information is identified based on the symptom observation image.

[0080] In addition, when the user is a medical professional, the disease candidate identification unit 12 may accept an input of detailed symptoms based on the input symptom input information, and identify the detailed symptoms as the symptom input information. Specifically, the symptom identification unit 14 identifies symptom observation information from the symptom input information based on the input symptom input information and the symptom observation unified master, and identifies an item of symptom detailed information linked to the symptom observation information based on the symptom observation information and the disease characteristic information. The display processing unit 17 performs display processing of the identified item of symptom detailed information, and causes the display processing result to be displayed on the display unit W2 so as to be specifiable on the user terminal device 3. Then, the disease candidate identification unit 12 identifies symptom observation information linked to the specified item of symptom detailed information based on the specified item of symptom detailed information and the disease characteristic information, and identifies the symptom observation information as the symptom input information. Note that even when the user is a general user, the disease candidate identification unit 12 may accept an input of detailed symptoms based on the input symptom input information, and identify the detailed symptoms as the symptom input information.

[0081] 9 is a display example of a screen displayed on the user terminal device 3 of a medical professional, which identifies symptom input information based on symptom detail information. In the illustrated example, symptom detail information linked to "cough" input by a medical professional as symptom input information is displayed on the display unit W2, and detailed symptom items of the symptom detail information linked to "cough" are displayed so as to be specifiable on the display unit W2. Then, by accepting the specification of a symptom finding seen in the patient from among the displayed detailed symptom items, the symptom finding is identified as symptom input information.

[0082] In this embodiment, the symptom input information and the symptom observation information are linked, and the symptom observation information and the symptom detailed information are linked, so that the symptom observation information is identified based on the symptom input information, the symptom detailed information is identified based on the symptom observation information, and the symptom observation information is identified based on the symptom detailed information. On the other hand, the symptom input information and the symptom detailed information may be linked, the symptom observation information and the symptom detailed information may be linked, the symptom detailed information is identified directly from the symptom input information, and the symptom observation information is identified based on the symptom detailed information.

[0083] In this manner, input of symptom input information for identifying disease candidates is completed, and then a process of inputting information for ranking the disease candidates is executed.

[0084] <3.2. Patient history information input reception> In S2, the ranking unit 13 accepts input of patient history information. In this embodiment, the ranking unit 13 accepts input of the patient history information, such as the patient's residential area, age, sex, symptom onset time, medical history input information, chronic disease input information, medication input information, medical procedure input information, preceding event input information, preceding symptom input information, occupation input information, lifestyle input information, and basic disease information of diseases suffered by family members.

[0085] Specifically, the ranking unit 13 accepts a selection input from the user of the displayed disease cause candidates, and identifies patient history information based on the disease cause candidates. More specifically, when the display processing unit 17 accepts an input to activate each area corresponding to risk medical history information, risk chronic disease information, risk drug information, risk medical treatment information, antecedent risk symptom information, risk occupation information, and risk lifestyle information, the display processing unit 17 performs display processing of a list of disease cause candidates corresponding to each area, and causes the display processing result to be displayed on the display unit W2 of the user terminal device 3 so that the candidate can be specified. The ranking unit 13 then specifies the specified disease cause candidate as patient history information. The display processing unit 17 displays the specified patient history information in each area.

[0086] Furthermore, when the ranking unit 13 receives the preceding event input information as the patient history information, the ranking unit 13 specifies the patient history information based on the candidate onset cause displayed using the user's past behavior history and the onset risk information. Specifically, the display processing unit 17 acquires the user's location information from the storage unit 92 from the present to a predetermined period in the past, performs display processing of the candidate onset cause based on the location information and the preceding risk event information, and causes the display processing result to be displayed on the display unit W2 of the user terminal device 3 so as to be specifiable. Then, the ranking unit 13 specifies the specified candidate onset cause as the patient history information.

[0087] 10 is a display example of a screen displayed on the user terminal device 3 for accepting input of preceding event input information. In the illustrated example, an instruction to display the onset cause candidate related to the preceding risk event information (pressing an icon) is accepted from the user, and the onset cause candidate is displayed on the display unit W2 for each past date and location information. Then, by designating the onset cause candidate, the designated onset cause candidate is identified as patient history information and displayed in the area for inputting the preceding event input information.

[0088] Furthermore, when the ranking unit 13 accepts input of the onset time of a symptom as the patient history information, it accepts input of the onset time for each symptom input information. Specifically, when the display processing unit 17 accepts a display instruction (pressing an icon) for a screen for inputting the onset time of a symptom, it performs display processing for a screen for inputting the onset date and disappearance date as the onset time for each symptom and / or finding input or identified as the symptom input information. Then, the ranking unit 13 accepts input of the onset date and disappearance date for each symptom and / or finding as the onset time.

[0089] 11 is an example of a screen for inputting the onset time, which is displayed on the user terminal device 3. In the illustrated example, the input onset time is displayed for each symptom and / or finding input or identified as symptom input information, and the onset time can be input by pressing an "Edit" button or an "Input from calendar" button.

[0090] When the ranking unit 13 does not accept an input of the onset time, it identifies the onset time based on the time information (date information) when the search process for the candidate disease was performed.

[0091] As described above, the following process is executed by inputting information in S1 and S2 and pressing the "Search" button on the search result screen. Note that the following process may be executed every time information is input in S1 and S2.

[0092] <3.3. Identification of disease candidates> In S3, the disease candidate identifying unit 12 identifies a disease candidate. In this embodiment, the disease candidate identifying unit 12 identifies a disease candidate based on the symptom input information and disease characteristic information. In addition, the disease candidate identifying unit 12 identifies a disease candidate that the patient suffers from based on the symptom input information, the symptom and finding unified master, and the disease characteristic information.

[0093] Specifically, the disease candidate identifying unit 12 identifies the symptom input information identified in S1 as symptom observation information. In addition, the disease candidate identifying unit 12 identifies symptom observation information corresponding to the symptom input information based on the symptom input information and the symptom observation unified master input by the user. Then, the disease candidate identifying unit 12 identifies a disease candidate corresponding to the symptom observation information based on the identified symptom observation information and disease characteristic information.

[0094] In addition, the disease candidate identifying unit 12 identifies a disease candidate based on the basic disease information and disease characteristic information of the disease suffered by the family member. In this embodiment, the disease candidate identifying unit 12 identifies a disease genetically related to the disease suffered by the family member as a disease candidate based on the basic disease information of the disease suffered by the family member and the hereditary information of the disease characteristic information.

[0095] In addition, in a preferred embodiment of the present invention, when information on symptoms and / or findings caused by the coexistence of multiple diseases is input, a combination of disease candidates can be identified. Specifically, the database 2 stores a combination of disease candidates consisting of two or more diseases in association with symptom and finding information, and the disease candidate identifying unit 12, upon receiving input of symptom input information, identifies the combination of disease candidates together with a single disease candidate.

[0096] In a preferred embodiment, the disease candidate identifying unit 12 may identify a disease candidate based on a timeline of the onset of each input symptom. Specifically, disease symptom pattern information linked to the onset pattern of a symptom and a disease is registered, and the disease candidate identifying unit 12 identifies a disease candidate based on the onset time and disease symptom pattern information input.

[0097] <3.4. Ranking of candidate diseases> In S4, the ranking unit 13 ranks the disease candidates that the patient suffers from. In this embodiment, the ranking unit 13 ranks the disease candidates identified in S3 based on the patient history information, the onset risk unified master, and the disease relationship information. The ranking unit 13 also ranks the disease candidates based on the patient history information and the disease relationship information.

[0098] Specifically, the ranking unit 13 identifies onset risk information corresponding to the input patient history information based on the input patient history information and onset risk unified master. The ranking unit 13 also identifies the patient history information identified in S2 as onset risk information. The ranking unit 13 identifies a relationship index corresponding to a combination of a disease and onset risk information based on the identified onset risk information and disease relationship information. The ranking unit 13 then calculates a relationship integrated value by accumulating (exponentiating or adding) the identified relationship index for each disease, and ranks the disease candidates based on the relationship integrated value. For example, the ranking unit 13 ranks the disease candidates in descending order of relationship integrated value.

[0099] The ranking unit 13 also ranks the disease candidates based on the patient's residential area, age, sex, and / or symptom onset time of the input patient history information. Specifically, the ranking unit 13 identifies the morbidity rate for each disease based on the age-specific morbidity rate, area-specific morbidity rate, sex-specific morbidity rate, and time-specific morbidity rate of the disease characteristic information stored in the database 2, and the residential area, age, sex, and / or symptom onset time input as the patient history information. The ranking unit 13 then ranks the disease candidates using the morbidity rate in addition to the relationship integrated value. For example, the ranking unit 13 ranks the disease candidates in descending order of the value obtained by multiplying the relationship integrated value by the morbidity rate.

[0100] In a preferred embodiment of the present invention, the ranking unit 13 ranks the disease candidates based on the onset time of the input patient history information and the patient's residential area. Specifically, the database 2 stores weather-specific morbidity (a combination of weather and morbidity for each disease), and the ranking unit 13 acquires meteorological information from the database 2 or an external database based on the input symptom onset time and residential area, and identifies the morbidity for each disease based on the meteorological information and weather-specific morbidity. For example, there is heat stroke, which is correlated with temperature and humidity, and bronchial asthma and cough asthma, which are correlated with atmospheric pressure fluctuations. The ranking unit 13 ranks the disease candidates in descending order of the value obtained by multiplying the identified morbidity by the relationship integrated value.

[0101] <3.5. Display process of candidate diseases> In S5, the display processing unit performs display processing of the identified disease candidates. In this embodiment, the display processing unit 17 performs display processing of the disease candidates identified in S3 based on the ranking determined in S4, and causes the display processing result to be displayed on the user terminal device 3. For example, the display processing unit 17 displays the ranking of each of the identified disease candidates. Also, the disease candidates are displayed at the top of the screen in descending order of ranking. The display processing unit 17 may display the relationship integrated value together with the ranking.

[0102] The display processing unit 17 also performs display processing of diseases linked to the identified disease candidate. Specifically, the display processing unit 17 identifies a first sub-disease linked to the disease candidate based on the disease-related information and the identified disease candidate, and performs display processing of the first sub-disease. Furthermore, when a second sub-disease linked to the identified sub-disease is stored, the display processing unit 17 performs display processing of the second sub-disease. Then, the display processing unit 17 identifies and displays all sub-diseases linked to the identified disease candidate.

[0103] FIG. 12 is a display example of a screen displaying the identified disease candidates and sub-diseases linked to the disease candidates. In the illustrated example, a plurality of first sub-diseases linked to "myocardial ischemia" identified as a disease candidate are displayed, a plurality of second sub-diseases linked to "severe anemia" among the first sub-diseases are displayed, and a plurality of third sub-diseases linked to "chronic bleeding" among the second sub-diseases are displayed. In addition, by pressing an icon at the bottom right of the display unit W2, further sub-diseases are displayed on the same screen. In addition, by accepting the designation of a displayed disease, basic disease information and disease characteristic information of the disease are displayed.

[0104] In addition, in this embodiment, the display processing unit 17 classifies and displays the identified disease. Specifically, the display processing unit 17 classifies and displays sub-diseases linked to the identified disease candidate based on the category of the basic disease information. For example, when the identified disease is "acute liver damage", "liver abscess" is displayed as the first sub-disease classified as "bacterial infection", and "bacterial liver abscess" is displayed as the second sub-disease. In addition, "common bile duct stone" and "bile duct cancer" are displayed as the first sub-disease classified as "biliary obstruction".

[0105] Furthermore, when a combination of disease candidates is specified in S3, the display processing unit 17 performs processing to display the combination of disease candidates for each number of disease candidates constituting the combination of disease candidates.

[0106] <3.6. Display process of test information> In S6, the display processing unit 17 performs display processing of the examination information. In this embodiment, the examination identification unit 15 identifies examination information corresponding to the disease candidate identified in S3 based on the disease candidate and related examination information. Then, the display processing unit 17 performs display processing of the examination information and causes the user terminal device 3 to display the display processing result.

[0107] Fig. 13 is an example of a screen displaying test information. In the illustrated example, for each of the diseases identified as possible diseases, "Tsutsugamushi disease," "Japanese spotted fever," "Cat scratch disease," and "Malignant disease," the name of the test to identify each disease is displayed.

[0108] <3.7. Code Issuance> In S7, the code issuing unit 16 issues codes for the disease candidate and the related test information. In this embodiment, the code issuing unit 16 issues a QR code (registered trademark) for each disease candidate and test information. Then, the code issuing unit 16 outputs a paper medium to which the QR code is attached.

[0109] As described above, by executing the processes of S1 to S7, disease candidates are identified, the identified disease candidates are ranked, and the user can easily understand the disease that the patient suffers from. In addition, based on the conclusion that the mechanism of disease onset "arises from people's living environment, behavior, and genetic factors," in order to accurately differentiate diseases, not only symptoms and findings but also information such as what environment the person did, what they ate, what medicines they usually take, what the health condition of their family is, and what kind of work they do is important, and the present invention can realize the differentiation of diseases taking such information into consideration. In addition, the present invention allows the user to input symptom input information with a high degree of freedom by enabling the user to input information with a high degree of freedom. In addition, the present invention stores a master that converts the input symptom input information into a unified expression, thereby unifying the expression without relying on conversion by natural language processing, and ensuring the reliability of the conversion of the expression. In addition, the present invention registers such a master, and the computer can unify the expression without natural language processing the input text data, thereby speeding up the process related to the identification of symptom and finding information and reducing the load. Furthermore, the present invention can be used even by ordinary people with little medical knowledge, and by reducing the financial, time, and physical burden on patients, it can lead to reduced national medical expenses from a macro perspective. [Explanation of symbols]

[0110] 0: Differential diagnosis search system 1: Differential disease search device 1 2: Database 3: User terminal device 9: Terminal device 91: Processing section 92: Storage section 93: Communications Department 94: Input section 95: Output section 10: Server 101: Processing section 102: Storage section 103: Communications Department 11: Registration section 12: Disease candidate identification department 13: Ranking section 14:Symptom identification part 15: Inspection Department 16: Code issuing department 17: Display processing section W:Disease search screen W1: Input section W1a: Symptoms and findings input section W1b: Career entry section W2:Display part

Claims

1. A differential disease search system for searching for a disease, The differential disease search system includes a database, a candidate disease identification unit, and a ranking unit, The database stores disease characteristic information and disease relationship information indicating a degree of relationship between a disease and a patient's history; The disease characteristic information is information linking disease information related to a disease with symptom and / or finding information related to symptoms and / or findings that may occur in the disease, the disease candidate identification unit receives input of symptom input information relating to symptoms and / or findings observed in a patient suffering from a certain disease, and identifies a disease candidate based on the symptom input information and the disease characteristic information; The ranking unit receives input of patient history information and ranks the identified disease candidates based on the patient history information and the disease relationship information.

2. The disease relationship information has a relationship index linked to each combination of onset risk information and a disease, 2. The differential disease search system according to claim 1, wherein the ranking unit calculates, for each disease, a relationship integrated value by accumulating the relationship indices corresponding to the patient history information based on the disease relationship information and the input patient history information, and ranks the disease candidates based on the relationship integrated value.

3. The differential disease retrieval system further includes a symptom identification unit and a display processing unit, The database stores disease characteristic information linking the symptom and finding information with detailed symptom information of the symptoms and / or findings, The symptom identification unit identifies the symptom detailed information based on the input symptom input information, The display processing unit performs a display process of the specified symptom detailed information in a manner that allows the symptom detailed information to be specified, The differential disease retrieval system according to claim 1 , wherein the candidate disease identifying unit identifies the symptom and finding information based on the specified symptom detailed information and the disease characteristic information.

4. The database stores, as the symptom detailed information, one or more symptom observation images in which the symptoms and / or findings are captured, in association with the symptom observation information; The symptom identification unit identifies the symptom observation image based on the input symptom input information, The display processing unit performs a display process for the specified symptom observation image in a specifiable manner, The differential disease retrieval system according to claim 3 , wherein the candidate disease identifying unit identifies the symptom finding information based on the designated symptom finding image and the disease characteristic information.

5. The differential disease retrieval system further includes a symptom identification unit and a display processing unit, The database stores the symptom and finding information and disease characteristic information linked to an onset site, The display processing unit processes and displays a site designation image capable of designating the onset site; The symptom identification unit accepts a selection input of the onset site via the site designation image, and identifies the symptom finding information based on the selected and input onset site and the disease characteristic information; The differential disease retrieval system according to claim 1 , wherein the display processing unit processes and displays the identified symptom and finding information in a specifiable manner.

6. The differential disease retrieval system further comprises a display processing unit, The database stores disease-related information; the disease-related information has a hierarchical structure in which a certain disease is a higher-level disease and a disease that causes the higher-level disease is a lower-level disease; The differential disease retrieval system according to claim 1 , wherein the display processing unit performs display processing of the identified disease candidate and its subdiseases in association with each other.

7. The differential disease retrieval system further comprises a display processing unit, The database stores disease risk information linking location information with disease cause candidates, The differential disease retrieval system according to claim 1 , wherein the display processing unit performs display processing so that the candidate cause of onset can be designated as the patient history information based on the user's past location information and the onset risk information.

8. The database stores a combination of a patient's residential area, age, sex, and / or symptom onset time, and an incidence rate for each disease, 2. The differential disease search system according to claim 1, wherein the ranking unit accepts input of the patient's residential area, age, sex, and / or symptom onset time as the patient history information, and ranks the disease candidates using the incidence rate for each disease based on the patient's residential area, age, sex, and / or symptom onset time.

9. A differential disease search program for searching for a disease, The differential disease search program causes a computer to function as a database, a candidate disease identification unit, and a ranking unit, The database stores disease characteristic information and disease relationship information indicating a degree of relationship between a disease and a patient's history; The disease characteristic information is information linking disease information related to a disease with symptom and / or finding information related to symptoms and / or findings that may occur in the disease, the disease candidate identification unit receives input of symptom input information relating to symptoms and / or findings observed in a patient suffering from a certain disease, and identifies a disease candidate based on the symptom input information and the disease characteristic information; The ranking unit receives an input of patient history information and ranks the identified disease candidates based on the patient history information and the disease relationship information.

10. A method for searching for a differential disease, comprising: The computer storing disease characteristic information and disease relationship information indicating the degree of relationship between the disease and the patient's history; A process of accepting input of symptom input information relating to symptoms and / or findings observed in a patient suffering from a certain disease, and identifying a disease candidate based on the symptom input information and the disease characteristic information; receiving an input of patient history information and ranking the identified disease candidates based on the patient history information and the disease relationship information; The disease characteristic information is information linking disease information related to a disease with symptom and / or finding information related to symptoms and / or findings that may occur in the disease.

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