Information processing device, diagnostic assistance method, and diagnostic assistance program

Abstract

To make it easier for patients to understand the doctor's explanations when receiving remote medical care. [Solution] The information processing device 10 identifies medical terms contained in transmission data sent from the doctor's terminal device 20A to the patient's terminal device 20B, acquires terminology explanation data corresponding to the identified medical terms, and outputs the acquired terminology explanation data.

Description

[Technical Field]

[0001] The present invention relates to an information processing device, a diagnostic assist method, and a diagnostic assist program. [Background technology]

[0002] In recent years, telemedicine has become popular, where doctors and patients are seen at a distance using communication technologies such as the Internet. In such telemedicine, for example, a doctor receives data from a patient or another doctor via the Internet or email, and examines the patient at home while viewing the video feed.

[0003] As a technology for sharing medical data, there is, for example, a conventional medical image communication system in which medical image information is exchanged between a plurality of hospitals connected via a network (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2000-067136 Summary of the Invention [Problem to be solved by the invention]

[0005] However, conventional technologies have had the problem that patients may not be able to understand the doctor's explanations when receiving remote medical care. For example, when a doctor and a patient are talking via videophone, if the doctor uses specialized medical terminology, the patient may have difficulty understanding the doctor's explanations.

[0006] Another possible method is to assign a reference address to the electronic medical record prepared by the doctor so that the patient can view the record and understand their condition and medical results. However, this method requires a lot of time for the patient to look up the related information and help information, making it difficult to apply in practice.

[0007] Furthermore, for example, when a doctor explains the results of a medical examination to a patient while referring to an image displaying the results, there are often time constraints due to various circumstances, and there may be situations where it is difficult to explain the results of the examination efficiently within that limited time. [Means for solving the problem]

[0008] In order to solve the above-mentioned problems and achieve the object, the information processing device of the present invention is characterized by having an identification unit that identifies medical terms contained in transmission data sent from a doctor's terminal device to a patient's terminal device, and a creation unit that, if a specific disease name is included among the medical terms identified by the identification unit, obtains from a memory unit the contents of statistical data to be displayed corresponding to the specific disease name, collects data from an external device according to the contents of the obtained statistical data, and uses the collected data to create a graph representing the contents of the statistical data.

[0009] In addition, the diagnostic assistance method of the present invention is a diagnostic assistance method executed by an information processing device, and is characterized by including: an identification step of identifying medical terms contained in transmission data transmitted from a doctor's terminal device to a patient's terminal device; and a creation step of, if a specific disease name is included among the medical terms identified by the identification step, obtaining from a memory unit the contents of statistical data to be displayed corresponding to the specific disease name, collecting data from an external device according to the contents of the obtained statistical data, and using the collected data to create a graph representing the contents of the statistical data.

[0010] In addition, the diagnostic assistance program of the present invention is characterized in that it has a computer execute a specification step of identifying medical terms contained in transmission data sent from the doctor's terminal device to the patient's terminal device, and a creation step of, if the medical terms identified by the specification step include a specific disease name, obtaining from a memory unit the contents of statistical data to be displayed corresponding to the specific disease name, collecting data from an external device according to the contents of the obtained statistical data, and using the collected data to create a graph representing the contents of the statistical data. [Effects of the Invention]

[0011] The present invention has the effect of making it easier for patients to understand the explanations given by doctors when receiving remote medical care. [Brief explanation of the drawings]

[0012] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of an information processing apparatus according to the first embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of data stored in the medical terminology data storage unit. [Figure 3] FIG. 3 is a diagram illustrating an example of data stored in the statistical data storage unit. [Figure 4] FIG. 4 is a diagram showing an example of a screen including a glossary of terms, which is displayed on the patient's terminal device. [Figure 5] FIG. 5 is a diagram showing an example of a screen displayed on the patient's terminal device, which includes an icon for displaying a glossary of terms. [Figure 6] FIG. 6 is a diagram showing an example of a screen including statistical data displayed on the patient's terminal device. [Figure 7] FIG. 7 is a flowchart showing an example of a processing flow in the information processing device according to the first embodiment. [Figure 8] FIG. 8 is a diagram illustrating a computer that executes a diagnostic assist program. DETAILED DESCRIPTION OF THE INVENTION

[0013] Hereinafter, embodiments of an information processing device, a diagnostic assist method, and a diagnostic assist program according to the present application will be described in detail with reference to the accompanying drawings. Note that the information processing device, the diagnostic assist method, and the diagnostic assist program according to the present application are not limited to these embodiments.

[0014] [First embodiment] In the following embodiment, the configuration of the information processing device 10 according to the first embodiment and the processing flow of the information processing device 10 will be described in order, and finally the effects of the first embodiment will be described.

[0015] [Configuration of information processing device] First, the configuration of an information processing device 10 will be described with reference to Fig. 1. Fig. 1 is a block diagram showing an example of the configuration of an information processing device according to the first embodiment. As shown in Fig. 1, the information processing device 10 is connected to a terminal device 20A used by a doctor and a terminal device 20B used by a patient via a network 30.

[0016] Here, the terminal device 20A and the terminal device 20B are information processing devices such as a desktop PC, a tablet PC, a notebook PC, a mobile phone, a smartphone, a PDA (Personal Digital Assistant), or the like.

[0017] Remote medical treatment is performed by communication between the doctor's terminal device 20A and the patient's terminal device 20B. Any specific method for remote medical treatment may be used, but for example, a videophone function may be used to enable the doctor and patient to talk while viewing video footage of each other, or medical treatment may be performed in a chat format by sending and receiving messages to each other. Note that the following explanation mainly uses as an example a case where the doctor and patient talk while viewing video footage of each other using the videophone function.

[0018] The information processing device 10 receives voice data or text data from remote medical treatment transmitted from the doctor's terminal device 20A to the patient's terminal device 20B, and if the received data contains medical terms, outputs glossary data corresponding to the medical terms to the patient's terminal device 20B along with the voice data or text data.

[0019] 1, the information processing device 10 includes a communication processing unit 11, a control unit 12, and a storage unit 13. The processing of each unit included in the information processing device 10 will be described below.

[0020] The communication processing unit 11 controls communications related to various types of information. For example, the communication processing unit 11 receives voice data or text data from the doctor's terminal device 20A, and transmits glossary data corresponding to medical terms together with the voice data or text data to the patient's terminal device 20B.

[0021] The storage unit 13 stores data and programs necessary for various processes performed by the control unit 12. The storage unit 13 has a medical terminology data storage unit 13a and a statistical data storage unit 13b. For example, the storage unit 13 is a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

[0022] The medical terminology data storage unit 13a stores terminology explanation data corresponding to medical terms. For example, as shown in FIG. 2, the medical terminology data storage unit 13a stores "medical terms" and "terminology explanations" in association with each other. Here, when there are names or abbreviations of medical terms that have the same meaning but are different from the official name, the multiple names are treated as medical terms with the same meaning. For example, "influenza" and "influenza" are treated as medical terms with the same meaning, even though they have different names.

[0023] The data stored in the medical terminology data storage unit 13a can be updated as needed. That is, it is possible to add, change, or delete the words that are to be used as medical terms or the contents of the terminology explanations as needed. The data stored in the medical terminology data storage unit 13a may be stored in a database external to the information processing device 10.

[0024] The statistical data storage unit 13b stores the content of the statistical data to be displayed for each type of disease. For example, as illustrated in FIG. 3, the statistical data storage unit 13b stores "type of disease" and "statistical data" in association with each other. To explain this by taking a specific example, the statistical data storage unit 13b stores the type of disease "influenza" in association with the statistical data "number of cases by region." This means that, for example, in a remote medical consultation using a videophone, if the doctor's speech includes the word "influenza," the number of cases of influenza by region is set to be displayed as the content of the statistical data to be displayed.

[0025] The data stored in the statistical data storage unit 13b can be updated as needed, and it is possible to change, for example, what statistical data to display depending on the type of disease. The data stored in the statistical data storage unit 13b may be stored in a database external to the information processing device 10.

[0026] The control unit 12 has an internal memory for storing programs that define various processing procedures and required data, and executes various processes using these. The control unit 12 has an identification unit 12a, an acquisition unit 12b, a creation unit 12c, and an output unit 12d. Here, the control unit 12 is, for example, an electronic circuit such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0027] The identification unit 12a identifies medical terms included in the transmission data transmitted from the doctor's terminal device 20A to the patient's terminal device 20B. Specifically, when the transmission data includes voice data uttered by the doctor, the identification unit 12a converts the voice data into text data and identifies medical terms included in the text data.

[0028] The method for converting the voice data into text data may be any method, and an existing method is used. When the transmission data includes text data, the identifying unit 12a identifies medical terms from the text data.

[0029] For example, when a doctor's terminal device 20A and a patient's terminal device 20B are conducting remote medical treatment using a videophone function, upon receiving voice data uttered by the doctor from the terminal device 20A, the identification unit 12a converts the voice data into text data. Here, the identification unit 12a searches whether the converted text data contains medical terms, referring to the medical terms stored in the medical terminology data storage unit 13a.

[0030] To give a specific example, when the content of the text data is "It's possible that you have the flu," the identification unit 12a identifies "flu" as a medical term because the term "flu" is stored as a medical term in the medical term data storage unit 13a.

[0031] The acquiring unit 12b acquires glossary data corresponding to the medical term identified by the identifying unit 12a. For example, the acquiring unit 12b refers to the data stored in the medical term data storage unit 13a, and when the medical term identified by the identifying unit 12a is "influenza," it acquires "Influenza is an infectious disease caused by infection with the influenza virus..." as glossary data corresponding to the medical term "influenza." Note that instead of acquiring glossary data from the medical term data storage unit 13a, the acquiring unit 12b may acquire glossary data by a web search.

[0032] When a specific disease name is included in the medical terms identified by the identification unit 12a, the creation unit 12c creates statistical data related to the specific disease name. For example, when the medical term identified by the identification unit 12a is "influenza," the creation unit 12c refers to the data stored in the statistical data storage unit 13b, searches to see if "influenza" is stored as a "type of disease" for which statistical data should be displayed, and acquires "statistical data" that is the content of the statistical data to be displayed that corresponds to "influenza."

[0033] 3, "number of cases by region" is stored as "statistical data" corresponding to "influenza." The creation unit 12c then acquires, for example, data on the number of cases of influenza in the patient's region (for example, data published by the Ministry of Health, Labor and Welfare or the National Institute of Infectious Diseases) from an external server, and creates a bar graph showing changes in the number of cases by month in the patient's region using the acquired data.

[0034] The creation unit 12c may also create statistical information on the survival rate and recovery period for a specific disease as statistical data. The creation unit 12c may also create information on diet or lifestyle improvements for recovery from a specific disease. For example, the creation unit 12c may create guidance and statistical information on diet or lifestyle improvements for recovery from a specific disease such as diabetes, heart disease, or high blood pressure.

[0035] The output unit 12d outputs the term explanation data acquired by the acquisition unit 12b. For example, when remote medical treatment is performed using a videophone function in which a doctor and a patient talk to each other while watching video images of each other, the output unit 12d adds the term explanation data acquired by the acquisition unit 12b to screen data displayed on the patient's terminal device 20B and outputs the data to the patient's terminal device 20B.

[0036] Here, a screen including a glossary of terms that is displayed on the patient-side terminal device 20B will be described using the example of Fig. 4. Fig. 4 is a diagram showing an example of a screen including a glossary of terms that is displayed on the patient-side terminal device. As shown in Fig. 4, on the patient-side terminal device 20B, along with an image of a doctor, the sentence "Ischemic heart disease is..." is displayed in the lower right corner as a glossary of terms related to influenza.

[0037] Furthermore, for example, when remote medical treatment is performed in a chat format by mutually sending and receiving messages, the output unit 12d outputs the term explanation data acquired by the acquisition unit 12b together with the doctor's message to the patient's terminal device 20B. In such a case, the output unit 12d may display the term explanation text together with the doctor's message, or may display an icon or the like and display the term explanation text only when the patient selects the icon.

[0038] Here, using the example of FIG. 5, a screen including an icon for displaying a glossary, which is displayed on the patient-side terminal device 20B, will be described. FIG. 5 is a diagram showing an example of a screen including an icon for displaying a glossary, which is displayed on the patient-side terminal device. As shown in FIG. 5, messages exchanged between the doctor and the patient are displayed on the patient-side terminal device 20B. On the terminal device 20B, a star-shaped icon is displayed above the doctor's message, "Influenza symptoms...". When this icon is selected by a tap operation or the like, the terminal device 20B displays a glossary of terms related to influenza. This enables the information processing device 10 to, for example, support the doctor's explanation so that the doctor can efficiently explain medical examination results and medical treatment results to the patient.

[0039] Furthermore, when statistical data is created by the creation unit 12c, the output unit 12d outputs the statistical data created by the creation unit 12c. For example, when remote medical treatment is performed using a videophone function, the output unit 12d adds the statistical data created by the creation unit 12c to screen data displayed on the patient-side terminal device 20B and outputs the data to the patient-side terminal device 20B.

[0040] Here, a screen including statistical data displayed on the patient-side terminal device 20B will be described using the example of Fig. 6. Fig. 6 is a diagram showing an example of a screen including statistical data displayed on the patient-side terminal device. As shown in Fig. 6, on the patient-side terminal device 20B, along with an image of a doctor, the sentence "Influenza is..." is displayed in the lower right as a glossary of influenza terms, and a bar graph showing the monthly change in the number of cases in the patient's area is displayed in the lower left as statistical data. In this way, when a specific disease name is included, the information processing device 10 displays statistical data such as the epidemic situation.

[0041] Furthermore, the output unit 12d may be configured to determine whether or not the patient understands medical terminology from their facial expression, and output the terminology explanation data only when it is determined that the patient does not understand the medical terminology. For example, the output unit 12d acquires image data of the patient captured by the patient's terminal device 20B, recognizes the patient's face from the acquired image data, determines whether or not the patient understands medical terminology from their facial expression, and outputs the terminology explanation data only when it is determined that the patient does not understand the medical terminology. Note that any method may be used to determine whether or not the patient understands medical terminology from their facial expression, and an existing method is used.

[0042] Note that some or all of the processing of each of the above-mentioned units may be performed by AI (Artificial Intelligence). For example, the information processing device 10 may store a trained model for displaying term explanation data, and may obtain the term explanation data as output data from the trained model by inputting the doctor's voice data or text data to the trained model.

[0043] In other words, the information processing device 10, for example, extracts difficult terms (technical terms, disease names, etc.) that arise from conversations between doctors and patients using AI analysis, and displays an explanation of the meaning of the terms by searching the web or referring to a table prepared in advance.

[0044] Furthermore, the output unit 12d may be configured to output the terminology explanation data and statistical data not only to the patient-side terminal device 20B but also to the doctor-side terminal device 20A. In such a case, the terminal device 20A may be configured, for example, so that the doctor can modify the terminology explanation data and statistical data, and the modified terminology explanation data and statistical data can be transmitted to the patient-side terminal device 20B.

[0045] [Processing procedure of information processing device] Next, an example of a processing procedure by the information processing device 10 according to the first embodiment will be described with reference to Fig. 7. Fig. 7 is a flowchart showing an example of a processing flow in the information processing device according to the first embodiment. Note that the following description of Fig. 7 will be given taking as an example a case where a doctor's terminal device 20A and a patient's terminal device 20B are conducting remote medical treatment using a videophone function.

[0046] As illustrated in FIG. 7, when the identification unit 12a of the information processing device 10 receives voice data uttered by a doctor from the terminal device 20A (Yes at step S101), the identification unit 12a converts the voice data into text data (step S102).

[0047] Then, the identifying unit 12a searches the converted text data to determine whether it contains medical terms, referring to the medical terms stored in the medical terminology data storage unit 13a, and determines whether the text data contains medical terms (step S103). As a result, if the identifying unit 12a determines that the text data does not contain medical terms (No in step S103), the output unit 12d outputs the doctor's voice data and image data to the patient's terminal device 20B (step S108), and the process ends.

[0048] Furthermore, when the specifying unit 12a determines that the text data contains a medical term (Yes at step S103), it specifies the medical term contained in the text data (step S104). To explain this by taking a specific example, when the content of the text data is "You might have the flu," the specifying unit 12a specifies "flu" as a medical term because the term "flu" is stored as a medical term in the medical term data storage unit 13a.

[0049] Next, the acquiring unit 12b acquires glossary data corresponding to the medical term identified by the identifying unit 12a (step S105). For example, the acquiring unit 12b refers to the data stored in the medical term data storage unit 13a, and when the medical term identified by the identifying unit 12a is "influenza," acquires "Influenza is an infectious disease caused by infection with the influenza virus..." as glossary data corresponding to the medical term "influenza."

[0050] Then, the creation unit 12c determines whether the medical terms identified by the identification unit 12a include a specific disease name (step S106). As a result, if the creation unit 12c determines that the specific disease name is not included (No in step S106), the output unit 12d outputs the term explanation data together with the doctor's voice data and image data to the patient's terminal device 20B (step S108), and the process ends.

[0051] Furthermore, when it is determined that a specific disease name is included (Yes at step S106), the creation unit 12c creates statistical data related to the specific disease name (step S107). For example, the creation unit 12c acquires data on the number of influenza cases in the patient's area (for example, data published by the Ministry of Health, Labor and Welfare or the National Institute of Infectious Diseases) from an external server, and creates a bar graph showing the change in the number of cases by month in the patient's area using the acquired data.

[0052] Thereafter, the output unit 12d outputs the doctor's voice data and image data, as well as the glossary data and statistical data, to the patient's terminal device 20B (step S108), and the process ends.

[0053] [Effects of the first embodiment] The information processing device 10 according to the first embodiment identifies medical terms included in transmission data transmitted from the doctor's terminal device 20A to the patient's terminal device 20B, acquires glossary data corresponding to the identified medical terms, and outputs the acquired glossary data. Therefore, the information processing device 10 can make it easier for the patient to understand the doctor's explanation when receiving remote medical care.

[0054] That is, for example, during remote medical treatment, the information processing device 10 can display the meaning of difficult terms used by the doctor on the terminal screen during medical treatment by displaying text in real time, thereby deepening the patient's understanding of the disease. Furthermore, the information processing device 10 may be configured to display not only explanations of terms but also statistical information on specific diseases.

[0055] (System configuration, etc.) Furthermore, the components of each device shown in the figure are conceptual functional units and do not necessarily have to be physically configured as shown. In other words, the specific form of distribution and integration of each device is not limited to that shown, and all or part of each device can be functionally or physically distributed and integrated in any unit depending on various loads and usage conditions. Furthermore, all or any part of the processing functions performed by each device can be realized by a CPU and a program analyzed and executed by the CPU, or can be realized as hardware using wired logic.

[0056] Furthermore, among the processes described in this embodiment, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method.In addition, the information including the processing procedures, control procedures, specific names, various data and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified.

[0057] (program) It is also possible to create a program in which the processes executed by the information processing device described in the above embodiment are written in a computer-executable language. For example, it is also possible to create a diagnostic assist program in which the processes executed by the information processing device 10 according to the embodiment are written in a computer-executable language. In this case, the same effects as those of the above embodiment can be achieved by having a computer execute the diagnostic assist program. Furthermore, such a diagnostic assist program may be recorded on a computer-readable recording medium, and the diagnostic assist program recorded on the recording medium may be read and executed by a computer to achieve the same processes as those of the above embodiment.

[0058] 8 is a diagram showing a computer that executes a diagnostic assistant program. As shown in the example of FIG. 8, a computer 1000 includes, for example, a memory 1010, a CPU 1020, a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070, all of which are connected by a bus 1080.

[0059] The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM 1012, as exemplified in FIG. 8. The ROM 1011 stores a boot program such as a BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to a hard disk drive 1090, as exemplified in FIG. 8. The disk drive interface 1040 is connected to a disk drive 1100, as exemplified in FIG. 8. A removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1100. The serial port interface 1050 is connected to, for example, a mouse 1051 and a keyboard 1052, as exemplified in FIG. 8. The video adapter 1060 is connected to, for example, a display 1061, as exemplified in FIG. 8.

[0060] 8, the hard disk drive 1090 stores, for example, an OS 1091, an application program 1092, a program module 1093, and program data 1094. That is, the diagnostic assist program is stored, for example, in the hard disk drive 1090 as a program module in which instructions to be executed by the computer 1000 are written.

[0061] The various data described in the above embodiment are stored as program data, for example, in the memory 1010 or the hard disk drive 1090. The CPU 1020 then reads the program module 1093 and the program data 1094 stored in the memory 1010 or the hard disk drive 1090 into the RAM 1012 as needed, and executes various processing procedures.

[0062] The program module 1093 and program data 1094 related to the diagnostic assist program are not limited to being stored in the hard disk drive 1090, but may be stored in, for example, a removable storage medium and read by the CPU 1020 via a disk drive or the like. Alternatively, the program module 1093 and program data 1094 related to the diagnostic assist program may be stored in another computer connected via a network (such as a LAN (Local Area Network) or WAN (Wide Area Network)) and read by the CPU 1020 via the network interface 1070.

[0063] The above-described embodiments and their modifications are included in the technology disclosed in this application, as well as in the scope of the invention described in the claims and their equivalents. [Explanation of symbols]

[0064] 10. Information processing equipment 11. Communication processing unit 12 Control Unit 12a Specific part 12b Acquisition part 12c Creation Department 12d Output section 13 Storage section 13a Medical terminology data storage section 13b Statistical data storage section 20A, 20B terminal equipment 30 Network

Claims

1. an identification unit that identifies medical terms included in transmission data transmitted from the doctor's terminal device to the patient's terminal device; a creating unit that, when the medical terms identified by the identifying unit include a specific disease name, acquires from the storage unit the contents of one or more of the statistical data to be displayed corresponding to the specific disease name, the contents of one or more of the number of cases by region, the survival rate for the specific disease, and the recovery period, collects data on the number of cases by region from an external device according to the contents of the acquired statistical data, and creates one or more of the following: a graph showing the contents of the number of cases by region included in the statistical data using the collected data; information on diet for recovering from the specific disease included in the statistical data; information on guidance for improving lifestyle for recovering from the specific disease included in the statistical data; and statistical information including at least one of the survival rate or the recovery period for the specific disease included in the statistical data; an output unit that outputs the statistical data created by the creation unit; An information processing device comprising:

2. The information processing device according to claim 1, characterized in that, when the transmission data includes voice data spoken by the doctor, the identification unit converts the voice data into text data and identifies medical terms included in the text data.

3. The information processing device described in claim 1, characterized in that the output unit acquires image data of the patient photographed by the patient's terminal device, recognizes the patient's facial portion from the acquired image data, determines whether the patient understands medical terminology from their facial expression, and outputs terminology explanation data corresponding to the medical terminology if it determines that the facial expression indicates an incomprehension of the medical terminology.

4. 4. The information processing apparatus according to claim 3, wherein the output unit displays an icon on the terminal device of the patient, and outputs the glossary data when the icon is selected.

5. A diagnostic assistance method executed by an information processing device, comprising: an identifying step of identifying medical terms included in the transmission data transmitted from the doctor's terminal device to the patient's terminal device; a creating step of, when a specific disease name is included in the medical terms identified by the identifying step, acquiring from a storage unit the contents of one or more of the statistical data to be displayed corresponding to the specific disease name, the contents of one or more of the number of cases by region, the survival rate for the specific disease, and the recovery period, collecting data on the number of cases by region from an external device according to the contents of the acquired statistical data, and using the collected data creating one or more of a graph showing the contents of the number of cases by region included in the statistical data, information on diet for recovering from the specific disease included in the statistical data, information on guidance for improving lifestyle for recovering from the specific disease included in the statistical data, and statistical information including at least one of the survival rate or the recovery period for the specific disease included in the statistical data; an output step of outputting the statistical data created by the creation step; A diagnostic assistance method comprising:

6. a step of identifying medical terms included in the transmission data transmitted from the doctor's terminal device to the patient's terminal device; a creating step of, when a specific disease name is included in the medical terms identified by the identifying step, acquiring from a storage unit the contents of one or more of the statistical data to be displayed corresponding to the specific disease name, the contents of one or more of the number of cases by region, the survival rate for the specific disease, and the recovery period, collecting data on the number of cases by region from an external device according to the contents of the acquired statistical data, and using the collected data creating one or more of a graph showing the contents of the number of cases by region included in the statistical data, information on diet for recovering from the specific disease included in the statistical data, information on guidance for improving lifestyle for recovering from the specific disease included in the statistical data, and statistical information including at least one of the survival rate or the recovery period for the specific disease included in the statistical data; an output step of outputting the statistical data created by the creation step; A diagnostic assist program that causes a computer to execute the above.

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