JP7189031B2 - Information processing device, diagnostic assistance method, and diagnostic assistance program - Google Patents

Description

The present invention relates to an information processing device, a diagnostic assistance method, and a diagnostic assistance program.

2. Description of the Related Art In recent years, telemedicine is known in which a doctor and a patient are separated from each other by using communication technology such as the Internet. In such telemedicine, for example, a doctor receives data from a patient or another doctor via the Internet or e-mail, and examines a patient at home while watching video on a videophone.

As a technology for sharing medical data, for example, there is a conventional medical image communication system that exchanges medical image information between a plurality of network-connected hospitals (see, for example, Patent Document 1).

JP-A-2000-067136

However, with the conventional technology, there is a problem that the patient may not be able to understand the doctor's explanation when receiving telemedicine. For example, when a doctor and a patient are having a conversation over a videophone, if the doctor explains using specialized medical terms, it may be difficult for the patient to understand the doctor's explanation.

In addition, for example, based on the electronic medical record created by the doctor, the reference address for the patient to display related information and help information so that the patient can see his/her own medical record and understand the medical condition and treatment results can be considered. However, this method has the problem that it is difficult to apply it in reality, because it takes a lot of time for the patient to look up related information and help information.

Further, for example, when a doctor explains the examination result to a patient while referring to an image showing the examination result, the time is often limited for various reasons. It may be difficult to explain the results of the examination effectively.

In order to solve the above-described problems and achieve the object, the information processing apparatus of the present invention includes: The medical device is characterized by comprising an acquisition unit for acquiring terminology data corresponding to the medical term specified by the specifying unit, and an output unit for outputting the terminology data acquired by the acquisition unit.

Further, a diagnostic assisting method of the present invention is a diagnostic assisting method executed by an information processing device, and includes a specifying step of specifying a medical term included in transmission data transmitted from a doctor's terminal device to a patient's terminal device. , an acquiring step of acquiring terminology data corresponding to the medical term specified by the specifying step; and an outputting step of outputting the terminology data acquired by the acquiring step.

Further, the diagnostic assistance program of the present invention includes a specifying step of specifying medical terms included in transmission data transmitted from a doctor's terminal device to a patient's terminal device, and a term corresponding to the medical term specified by the specifying step. A computer is caused to execute an acquisition step of acquiring commentary data and an output step of outputting the terminology data acquired by the acquisition step.

ADVANTAGE OF THE INVENTION According to this invention, when a patient receives telemedicine, it is effective in the ability to understand a doctor's explanation easily.

FIG. 1 is a block diagram showing a configuration example of an information processing apparatus according to the first embodiment. FIG. 2 is a diagram showing an example of data stored in a medical terminology data storage unit. FIG. 3 is a diagram illustrating an example of data stored in a statistical data storage unit; FIG. 4 is a diagram showing an example of a screen including a glossary displayed on the patient's terminal device. FIG. 5 is a diagram showing an example of a screen including icons for displaying a glossary displayed on the terminal device on the patient side. FIG. 6 is a diagram showing an example of a screen including statistical data displayed on the patient's terminal device. 7 is a flowchart illustrating an example of the flow of processing in the information processing apparatus according to the first embodiment; FIG. FIG. 8 is a diagram showing a computer that executes a diagnostic assistance program.

Embodiments of an information processing apparatus, a diagnosis assistance method, and a diagnosis assistance program according to the present application will be described below in detail with reference to the drawings. It should be noted that the information processing apparatus, diagnostic assistance method, and diagnostic assistance program according to the present application are not limited by this embodiment.

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

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

Here, the terminal device 20A and the terminal device 20B are, for example, information processing devices such as a desktop PC, tablet PC, notebook PC, mobile phone, smart phone, PDA (Personal Digital Assistant).

Telemedicine is performed by communication between the terminal device 20A on the doctor side and the terminal device 20B on the patient side. As a specific method of telemedicine, any method may be used. Alternatively, medical care may be provided in a chat format by sending and receiving messages to each other. In the following description, a case where a doctor and a patient converse while watching images of each other using the TV phone function will be mainly described as an example.

The information processing apparatus 10 receives voice data or text data in telemedicine transmitted from the terminal device 20A on the side of the doctor to the terminal device 20B on the patient side, and if the received data includes medical terms, Along with voice data or text data, glossary data corresponding to medical terms is output to the terminal device 20B on the patient side.

Further, as shown in FIG. 1, the information processing apparatus 10 has a communication processing section 11, a control section 12 and a storage section 13. FIG. Processing of each unit of the information processing apparatus 10 will be described below.

The communication processing unit 11 controls communication regarding various information. For example, the communication processing unit 11 receives voice data or text data from the terminal device 20A on the doctor side, and transmits glossary data corresponding to medical terms to the terminal device 20B on the patient side along with the voice data or text data.

The storage unit 13 stores data and programs required for various processes 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 device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

The medical terminology data storage unit 13a stores terminology data corresponding to medical terms. For example, as illustrated in FIG. 2, the medical terminology data storage unit 13a stores "medical terminology" and "terminology" in association with each other. Here, with regard to medical terms, if there are names that are different from the official names or names that are abbreviated, even if they have the same meaning, 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 although they have different names.

Further, the data stored in the medical terminology data storage unit 13a is data that can be updated as appropriate. In other words, it is possible to appropriately add, change, or delete what kind of words are medical terms, or the contents of the glossary. The data stored in the medical terminology data storage unit 13a may be stored in a database outside the information processing apparatus 10. FIG.

The statistical data storage unit 13b stores the contents of statistical data to be displayed for each disease type. For example, as illustrated in FIG. 3, the statistical data storage unit 13b stores "disease type" and "statistical data" in association with each other. To give a specific example, for example, the statistical data storage unit 13b stores the disease type “influenza” and the statistical data “number of onsets by region” in association with each other. For example, in telemedicine using a videophone, if the word "influenza" is included in the doctor's utterance, the number of influenza outbreaks by region should be displayed as the content of the statistical data to be displayed. means that is set.

The data stored in the statistical data storage unit 13b can be updated as appropriate. For example, what kind of statistical data to display can be changed as appropriate according to the type of disease. The data stored in the statistical data storage unit 13b may be stored in a database outside the information processing apparatus 10. FIG.

The control unit 12 has an internal memory for storing programs defining various processing procedures and required data, and executes various processing 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).

The identifying 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 a doctor, the specifying unit 12a converts the voice data into text data and specifies medical terms included in the text data.

Any method may be used for converting voice data into text data, and an existing method may be used. Further, when text data is included in the transmission data, the specifying unit 12a specifies medical terms from the text data.

For example, when the specifying unit 12a receives voice data spoken by the doctor from the terminal device 20A while the doctor's terminal device 20A and the patient's terminal device 20B are performing telemedicine using the videophone function, Convert voice data to text data. Here, the specifying unit 12a refers to the medical terminology stored in the medical terminology data storage unit 13a and searches whether the converted text data includes a medical terminology.

To explain with a specific example, when the content of the text data is "There is a possibility of influenza", the identification unit 12a stores the term "influenza" as a medical term in the medical term data storage unit 13a. and identifies “influenza” as a medical term.

The acquiring unit 12b acquires terminology data corresponding to the medical term specified by the specifying unit 12a. For example, the acquiring unit 12b refers to the data stored in the medical terminology data storage unit 13a, and when the medical term specified by the specifying unit 12a is "influenza", the term corresponding to the medical term "influenza" As explanatory data, "Influenza is an infectious disease caused by infection with an influenza virus...." is acquired. Note that the acquisition unit 12b may acquire terminology data through a web search instead of acquiring the terminology data from the medical terminology data storage unit 13a.

If the medical term specified by the specifying unit 12a includes a specific disease name, the creation unit 12c creates statistical data related to the specific disease name. For example, when the medical term specified by the specifying unit 12a is "influenza", the creation unit 12c refers to the data stored in the statistical data storage unit 13b, A search is made to see if it is stored as "disease type", and "statistical data", which is the content of the statistical data to be displayed corresponding to "influenza", is obtained.

In the example of FIG. 3, "number of cases by region" is stored as "statistical data" corresponding to "influenza". Then, the creating unit 12c, for example, acquires data on the number of influenza outbreaks in the patient's area (for example, data published by the Ministry of Health, Labor and Welfare, the National Institute of Infectious Diseases, etc.) from an external server, and uses the acquired data. to create a bar chart showing the change in the number of incidents by month in the patient's region.

In addition, the creating unit 12c may create statistical information on survival rates and recovery periods for specific diseases as statistical data. In addition, the creating unit 12c may create information on diet or lifestyle improvement for recovery from a specific disease. For example, the creation unit 12c may create diets for recovery from specific diseases such as diabetes, heart disease, or high blood pressure, instructions for lifestyle improvement, statistical information, and the like.

The output unit 12d outputs the glossary data acquired by the acquisition unit 12b. For example, the output unit 12d uses the videophone function to perform telemedicine by having a conversation between a doctor and a patient while viewing images of each other. The explanation data is added to the screen data displayed on the terminal device 20B on the patient side, and then output to the terminal device 20B on the patient side.

Here, using the example of FIG. 4, a screen including a glossary displayed on the terminal device 20B on the patient side will be described. FIG. 4 is a diagram showing an example of a screen including a glossary displayed on the patient's terminal device. As exemplified in FIG. 4, on the terminal device 20B on the patient side, the image of the doctor is displayed together with the sentence "What is ischemic heart disease?" as a glossary of influenza on the lower right.

Further, for example, when remote medical care is performed in a chat format by transmitting and receiving messages to each other, the output unit 12d outputs the doctor's message and the glossary data acquired by the acquisition unit 12b to the terminal device on the patient side. 20B. In such a case, the output unit 12d may display the text of the terminology along with the doctor's message, or may display an icon or the like so that the terminology is explained only when the icon is selected by the patient. You may make it display a sentence.

Here, using the example of FIG. 5, a screen including icons for displaying a glossary, which is displayed on the terminal device 20B on the patient side, will be described. FIG. 5 is a diagram showing an example of a screen including icons for displaying a glossary displayed on the terminal device on the patient side. As illustrated in FIG. 5, the terminal device 20B on the patient side displays messages sent and received between the doctor and the patient. Then, on the terminal device 20B, a star-shaped icon is displayed above the doctor's message "I have flu symptoms...". In the terminal device 20B, when this icon is selected by a tap operation or the like, a glossary about influenza is displayed. As a result, the information processing apparatus 10 can, for example, assist the doctor's explanation so that the doctor can efficiently explain the medical checkup result and the medical treatment result to the patient.

Further, when the statistical data is created by the creating unit 12c, the output unit 12d outputs the statistical data created by the creating unit 12c. For example, when telemedicine is performed using the videophone function, the output unit 12d adds the statistical data created by the creation unit 12c to the screen data displayed on the terminal device 20B on the patient side. and output to the terminal device 20B on the patient side.

Here, a screen including statistical data displayed on the terminal device 20B on the patient side will be described using the example of FIG. FIG. 6 is a diagram showing an example of a screen including statistical data displayed on the patient's terminal device. As exemplified in FIG. 6, on the terminal device 20B on the patient side, along with the image of the doctor, the sentence "What is influenza?" , bar graphs are displayed showing the change in the number of incidents by month in the region of the patient. As described above, the information processing apparatus 10 displays statistical data such as epidemic status when a specific disease name is included.

In addition, the output unit 12d determines whether or not the patient understands the medical term based on the patient's facial expression, and outputs terminology data only when it determines that the facial expression does not understand the medical term. good too. For example, the output unit 12d acquires the patient's image data captured by the patient's terminal device 20B, recognizes the patient's face from the acquired image data, and determines whether the patient understands the medical term based on the facial expression. Only when it is determined that the facial expression does not understand the medical term, the glossary data is output. As for the method of determining whether or not the medical term is understood from the facial expression, any method may be used, and an existing method shall be used.

It should be noted that AI (Artificial Intelligence) may be made to execute part or all of the processing of each unit described above. For example, the information processing apparatus 10 stores a learned model for displaying terminology data, and by inputting voice data or text data of a doctor to the learned model, output data from the learned model. You may make it obtain glossary data as.

In other words, the information processing apparatus 10 extracts, for example, difficult terms (technical terms, disease names, etc.) from conversations between a doctor and a patient by AI analysis, refers to a web search or a table prepared in advance, and extracts the terminology. A display explaining the meaning is provided.

The output unit 12d may output the terminology data and statistical data not only to the terminal device 20B on the patient side but also to the terminal device 20A on the doctor side. In such a case, the terminal device 20A may allow the doctor to correct the terminology data and statistical data, and the corrected terminology data and statistical data may be transmitted to the terminal device 20B on the patient side. can be

[Processing procedure of information processing device]
Next, an example of processing procedures by the information processing apparatus 10 according to the first embodiment will be described with reference to FIG. 7 is a flowchart illustrating an example of the flow of processing in the information processing apparatus according to the first embodiment; FIG. In the following description of FIG. 7, a case where the doctor's terminal device 20A and the patient's terminal device 20B are performing telemedicine using the videophone function will be described as an example.

As illustrated in FIG. 7, when the specifying 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 specifying unit 12a converts the voice data into text data (step S102). .

Then, the identification unit 12a searches whether or not the converted text data contains medical terms by referring to the medical terms stored in the medical term data storage unit 13a, and determines whether or not the text data contains medical terms. (step S103). As a result, when the specifying unit 12a determines that the text data does not contain medical terms (No at 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.

Further, when the identification unit 12a determines that the text data includes a medical term (Yes at step S103), the identification unit 12a identifies the medical term included in the text data (step S104). To explain with a specific example, when the content of the text data is "There is a possibility of influenza", the identification unit 12a stores the term "influenza" as a medical term in the medical term data storage unit 13a. and identifies “influenza” as a medical term.

Subsequently, the acquiring unit 12b acquires terminology data corresponding to the medical term specified by the specifying unit 12a (step S105). For example, the acquiring unit 12b refers to the data stored in the medical terminology data storage unit 13a, and when the medical term specified by the specifying unit 12a is "influenza", the term corresponding to the medical term "influenza" As explanatory data, "Influenza is an infectious disease caused by infection with an influenza virus...." is acquired.

Then, the creating unit 12c determines whether the medical terms specified by the specifying unit 12a include a specific disease name (Step S106). As a result, when the creation unit 12c determines that the specific disease name is not included (No at step S106), the output unit 12d sends the doctor's voice data and image data as well as the glossary data to the patient's terminal device 20B. Output (step S108) and terminate the process.

If the creating unit 12c determines that the specific disease name is included (Yes at step S106), the creating unit 12c creates statistical data on the specific disease name (step S107). For example, the creating unit 12c acquires data on the number of influenza outbreaks in the patient's area (for example, data published by the Ministry of Health, Labor and Welfare, the National Institute of Infectious Diseases, etc.) from an external server, and uses the acquired data. to create a bar chart showing the change in the number of incidents by month in the patient's region.

After that, the output unit 12d outputs the terminology data and statistical data to the patient's terminal device 20B together with the voice data and image data of the doctor (step S108), and ends the process.

[Effects of the first embodiment]
The information processing apparatus 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, and defines glossary data corresponding to the identified medical terms. and outputs the acquired glossary data. Therefore, the information processing device 10 can facilitate understanding of the doctor's explanation when the patient undergoes telemedicine.

In other words, the information processing apparatus 10, for example, displays an explanation of difficult technical terms uttered by a doctor in real time as text during telemedicine, so that the meaning of the difficult terms uttered by the doctor can be understood on the terminal during medical treatment. Since it is displayed on the screen, it is possible to deepen the patient's understanding of the disease. Further, the information processing apparatus 10 may display not only explanations of terms but also statistical information of specific diseases.

(system configuration, etc.)
Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. Further, each processing function performed by each device may be implemented in whole or in part by a CPU and a program analyzed and executed by the CPU, or implemented as hardware based on wired logic.

In addition, among the processes described in the present embodiment, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. can also be performed automatically by known methods. In addition, information including processing procedures, control procedures, specific names, and various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified.

(program)
It is also possible to create a program in which the processing executed by the information processing apparatus described in the above embodiment is written in a computer-executable language. For example, it is also possible to create a diagnosis assist program in which the processing executed by the information processing apparatus 10 according to the embodiment is described in a computer-executable language. In this case, the same effects as those of the above embodiment can be obtained by executing the diagnosis assist program by the computer. Furthermore, by recording such a diagnostic assistance program in a computer-readable recording medium and causing a computer to read and execute the diagnostic assistance program recorded in this recording medium, the same processing as in the above embodiment may be realized. good.

FIG. 8 is a diagram showing a computer that executes a diagnostic assistance program. As illustrated in FIG. 8, computer 1000 includes, for example, memory 1010, CPU 1020, hard disk drive interface 1030, disk drive interface 1040, serial port interface 1050, video adapter 1060, and network interface 1070. , and these units are connected by a bus 1080 .

The memory 1010 includes a ROM (Read Only Memory) 1011 and a RAM 1012 as illustrated in FIG. The ROM 1011 stores a boot program such as BIOS (Basic Input Output System). Hard disk drive interface 1030 is connected to hard disk drive 1090 as illustrated in FIG. Disk drive interface 1040 is connected to disk drive 1100 as illustrated in FIG. 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 1110 and a keyboard 1120, as illustrated in FIG. Video adapter 1060 is connected to display 1130, for example, as illustrated in FIG.

Here, as illustrated in FIG. 8, the hard disk drive 1090 stores an OS 1091, application programs 1092, program modules 1093, and program data 1094, for example. That is, the diagnostic assistance program described above 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 described.

Various data described in the above embodiments are stored as program data in the memory 1010 or the hard disk drive 1090, for example. Then, the CPU 1020 reads the program modules 1093 and program data 1094 stored in the memory 1010 and the hard disk drive 1090 to the RAM 1012 as necessary, and executes various processing procedures.

Note that the program module 1093 and program data 1094 related to the diagnosis assist program are not limited to being stored in the hard disk drive 1090, but are stored in a detachable storage medium, for example, and are read by the CPU 1020 via a disk drive or the like. good too. Alternatively, the program module 1093 and program data 1094 related to the diagnosis assist program are stored in another computer connected via a network (LAN (Local Area Network), WAN (Wide Area Network), etc.), and the network interface 1070 is may be read by CPU 1020 via

The above-described embodiments and modifications thereof are included in the scope of the invention described in the claims and their equivalents, as well as in the technology disclosed in the present application.

10 information processing device 11 communication processing unit 12 control unit 12a identification unit 12b acquisition unit 12c creation unit 12d output unit 13 storage unit 13a medical term data storage unit 13b statistical data storage unit 20A, 20B terminal device 30 network

Claims (7)

an identification unit that identifies medical terms included in transmission data transmitted from a doctor's terminal device to a patient's terminal device;
an acquisition unit that acquires glossary data corresponding to the medical term specified by the specifying unit;
When a specific disease name is included among the medical terms specified by the specifying unit, the content of statistical data to be displayed corresponding to the specific disease name is acquired from the storage unit, and the content of the acquired statistical data is Accordingly, a creation unit that collects data from an external device and creates a graph representing the content of the statistical data using the collected data;
an output unit configured to output the glossary data acquired by the acquisition unit and the graph created by the creation unit to the terminal device of the patient together with the image of the doctor. . When the transmission data includes voice data uttered by the doctor, the specifying unit converts the voice data into text data and specifies medical terms contained in the text data. Item 1. The information processing apparatus according to item 1. 2. The information processing apparatus according to claim 1 , wherein the creation unit further creates information on diet or lifestyle improvement for recovery from a specific disease. The output unit acquires the patient's image data captured by the patient's terminal device, recognizes the patient's face part from the acquired image data, and determines whether the patient understands the medical term based on the facial expression. 2. The information processing apparatus according to claim 1, wherein the terminology data and the graph are output when it is determined that the facial expression does not understand medical terms. 2. The information processing apparatus according to claim 1, wherein the output unit displays an icon on the terminal device of the patient, and outputs the terminology data and the graph when the icon is selected. A diagnosis assistance method executed by an information processing device,
an identifying step of identifying medical terms contained in data transmitted from a doctor's terminal device to a patient's terminal device;
an obtaining step of obtaining glossary data corresponding to the medical term identified by the identifying step;
If a specific disease name is included among the medical terms identified by the identifying step, the content of statistical data to be displayed corresponding to the specific disease name is acquired from the storage unit, and the content of the acquired statistical data is Accordingly, a creation step of collecting data from an external device and using the collected data to create a graph representing the content of the statistical data;
An output step of outputting the glossary data acquired in the acquiring step and the graph created in the creating step to the terminal device of the patient together with the doctor's image. . an identifying step of identifying medical terms contained in data transmitted from the doctor's terminal to the patient's terminal;
an acquiring step of acquiring glossary data corresponding to the medical terms identified by the identifying step;
If a specific disease name is included among the medical terms identified in the identifying step, the content of statistical data to be displayed corresponding to the specific disease name is acquired from the storage unit, and the content of the acquired statistical data is Accordingly, a creation step of collecting data from an external device and using the collected data to create a graph representing the content of the statistical data;
and an output step of outputting the glossary data acquired in the acquiring step and the graph created in the creating step to the terminal device of the patient together with the image of the doctor. diagnostic assistant program.

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