Imaging support apparatus and method, program, and storage medium

Abstract

To provide a photographing support device capable of efficiently collecting photographs of an affected part while suppressing a load on a doctor.SOLUTION: The medical image processing apparatus includes a registration unit that registers a disease name of an imaging target, an acquisition unit that acquires medical information of a patient recorded in an electronic medical record, a determination unit that determines whether the disease name of the patient acquired by the acquisition unit matches the disease name of the imaging target registered by the registration unit, and a notification unit that performs notification for prompting a user to image an affected part in a case where the determination unit determines that the disease name of the patient matches the disease name of the imaging target.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a photography support device that supports the photography of an image. [Background technology]

[0002] Skin diseases can have their origins in the skin itself, but they can also originate from other areas. Although skin diseases can be detected with the naked eye, diagnosing them can be difficult.

[0003] For example, some skin diseases require early treatment, such as emergency conditions like infections and drug rashes, and skin cancer, while others are called dermadrome, which is a condition in which abnormalities occur in the skin due to diseases that occur outside the skin.

[0004] Therefore, there is a need for a diagnostic support system for skin diseases that can predict the name of the disease using images of the skin. In order to develop such a diagnostic support system, it is necessary to prepare a large number of images of skin diseases.

[0005] However, because doctors who examine patients are always busy talking to patients and writing medical records, they often do not take photographs of visible skin diseases. As a result, it tends to be difficult to collect images of skin diseases that specialists can diagnose visually. There are also skin diseases that specialists can diagnose but that non-specialists find difficult to diagnose.

[0006] In nighttime clinics and in remote areas, specialists are not always available to see patients, so the more types of skin diseases a diagnosis support system can identify, the better. To do this, as mentioned above, it is necessary to collect images of many skin diseases. However, if doctors are required to constantly take images of the affected area during examinations, this could extend the time required for each consultation and reduce the quality of medical care.

[0007] Patent Document 1 discloses a system for supporting radiography. When a radiologist performs radiography in response to an order issued by a doctor, the system uses medical information recorded in an electronic medical record to generate support information for performing appropriate radiography. [Prior art documents] [Patent documents]

[0008] [Patent Document 1] Japanese Patent Publication No. 2020-102037 Summary of the Invention [Problem to be solved by the invention]

[0009] However, even the technology described in Patent Document 1 is not sufficient in terms of collecting images of many skin diseases.

[0010] The present invention has been made in consideration of the above-mentioned problems, and its purpose is to provide a photography support device that can efficiently collect photographs of the affected area while reducing the burden on the doctor. [Means for solving the problem]

[0011] The photography support device of the present invention is characterized by comprising a registration means for registering the name of the disease to be photographed, an acquisition means for acquiring the patient's medical information recorded in an electronic medical record, a determination means for determining whether the patient's disease name acquired by the acquisition means matches the name of the disease to be photographed registered by the registration means, and a notification means for notifying the user to encourage the user to photograph the affected area when the determination means determines that the patient's disease name matches the name of the disease to be photographed. [Effects of the Invention]

[0012] According to the present invention, it is possible to efficiently collect photographs of affected areas while reducing the burden on doctors. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a diagram showing a schematic configuration of an embodiment of a diagnosis support device in which an imaging support device is used. [Figure 2] 10 is a flowchart showing an example of the overall processing of the photographing support device. [Figure 3] FIG. 2 is a diagram showing an example of a user interface of the photographing support device. [Figure 4] FIG. 2 is a diagram showing a data structure of the photography support device. [Figure 5] 10 is a flowchart of a process in which the imaging support device acquires information from an electronic medical record server. [Figure 6] FIG. 10 is a diagram showing an example of a data structure obtained from an electronic medical record server. [Figure 7] 10 is a flowchart showing an example of a process for confirming a match between a collected disease name and a disease name being examined. [Figure 8] 10 is a flowchart showing an example of a process for guiding photography. [Figure 9] A chart organizing patients by gender, age, and skin color. [Figure 10] FIG. 10 is a diagram showing an example of a user interface that prompts a user to take a photo. [Figure 11] FIG. 3 is a diagram showing the folder structure in which images are recorded. [Figure 12] 10 is a flowchart showing an example of a process for determining a rare disease. [Figure 13] 10 is a flowchart showing an example of a process for converting a captured image into an image for learning. DETAILED DESCRIPTION OF THE INVENTION

[0014] Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. Note that the following embodiments do not limit the scope of the invention claimed. Although multiple features are described in the embodiments, not all of these multiple features are necessarily essential to the invention, and multiple features may be combined arbitrarily. Furthermore, in the accompanying drawings, the same reference numerals are used to designate the same or similar components, and redundant explanations will be omitted.

[0015] FIG. 1 is a diagram showing a schematic configuration of an embodiment of a diagnosis support device in which an imaging support device of the present invention is used.

[0016] In this embodiment, the function of the imaging support device is performed by the electronic medical record terminal 100. The electronic medical record terminal 100 is provided with a configuration that allows the electronic medical record terminal 100 to function as an imaging support device.

[0017] 1, a CPU (Central Processing Unit) 109 controls the entire electronic medical record terminal 100 by controlling each component of the electronic medical record terminal 100. The CPU 109 also implements the functions of the electronic medical record terminal 100 by loading a program stored in an SSD (Solid State Drive) 105 into a memory 106 and executing the program.

[0018] The memory 106 is a working memory necessary for the operation of the CPU 109. The SSD 105 stores programs executed by the CPU 109. In addition to the programs, images of affected areas showing the disease and information on the disease that is the subject of image capture and collection are also stored.

[0019] A LAN (Local Area Network) 103 is used for communication with the outside world, and is used to communicate with an electronic medical record server 130 to refer to medical history.

[0020] The electronic medical record terminal 100 communicates with the digital camera 120 using wifi 107. This is used to acquire images captured by the digital camera 120 or to transfer information to the digital camera 120. Although not described in detail in this embodiment, it is also possible to communicate with the digital camera 120 using a USB (Universal Serial Bus) 102 instead of wifi 107.

[0021] The electronic medical record terminal 100 has, as input interfaces, a mouse 108 and a keyboard 101. The display 104 is used to display the results of the CPU 109 executing a program, etc.

[0022] Next, the flow of imaging support by the electronic medical record terminal 100 will be described with reference to the flowchart of FIG.

[0023] When the imaging support program is started in step S301 (hereinafter, "step" will be omitted), in step S302, the CPU 109 prompts the user to register the name of a disease to be collected and for which imaging is to be encouraged.

[0024] In S302, the CPU 109 displays the screen 200 of Fig. 3(a) on the display 104. The screen 200 is a screen for selecting the purpose of imaging, and displays a designation button 201 for designating (registering) the name of the disease for which images are to be collected, a designation button 202 for designating (registering) the rare disease, and a close button 203 for closing the screen 200. A touch panel is arranged on the surface of the display 104, and the user can input instructions to the electronic medical record terminal 100 by pressing the displayed buttons.

[0025] When the user presses the designation button 201, the CPU 109 displays the screen 210 of Fig. 3(b) on the display 104. The screen 210 displays a disease name input field 211 for inputting the name of the disease to be photographed, and a disease characteristic input field 212 for inputting the characteristics of the disease inputted in the disease name input field 211. Also displayed are an examination method input field 213 for inputting the examination method for the disease inputted in the disease name input field 211, and a target collection number input field 214 for inputting the target number of disease images to be collected inputted in the disease name input field 211. Furthermore, a check box 215 for leveling out the cases to be collected is also displayed.

[0026] A cancel button 216 and an OK button 217 are displayed at the bottom of the screen 210. When the OK button 217 is pressed, the values ​​entered in all input fields on the screen 210 and the setting status of the check boxes are recorded in the SSD 105, and the screen 210 is closed. When the cancel button 216 is pressed, the user's settings for the screen 210 are discarded, and the screen 210 is closed. When the screen 210 is closed, the screen returns to the screen 200.

[0027] In S303, the CPU 109 prompts the user to register the name of a rare disease. Registration of the rare disease name is started by pressing the designation button 202 for capturing a rare disease image, which is displayed on the screen 200.

[0028] When the user presses the designation button 202, a screen 220 shown in FIG. 3(c) for designating a rare disease is displayed. The screen 220 displays a disease name input field 221 for inputting the name of the rare disease, a cancel button 222, and an OK button 223. When the OK button 223 is pressed, the values ​​entered in all input fields on the screen 220 are recorded in the SSD 105, and the screen 220 is closed. When the cancel button 220 is pressed, the user's settings on the screen 220 are discarded, and the screen 220 is closed.

[0029] 4(a) shows an example of data saved in the SSD 105 when the OK button 217 or the OK button 223 is pressed. The current number of collected images 240 starts from 0 and is rewritten to the total number of images captured each time a photograph is taken.

[0030] In S304, medical information recorded in the electronic medical record server 130 when the doctor examined the patient is acquired.

[0031] The flow of acquiring medical information will be explained using the flowchart of Fig. 5 showing the operation of acquiring medical information and Fig. 6(a) showing the medical information recorded at that time in the electronic medical record server 130. When acquiring medical information from the electronic medical record server 130, it is necessary to identify which patient and when the medical information is acquired, but this identification method can be performed using an existing method and does not affect the present embodiment, so an explanation of the identification method will be omitted.

[0032] When the acquisition of medical information is started in S401, in S402 the CPU 109 acquires the disease name entered by the doctor in the differential diagnosis field of the electronic medical record server 130. In the case of Fig. 6(a), "warts" in the differential diagnosis 411 can be acquired.

[0033] In S403, the CPU 109 acquires medical interview information from the medical interview column of the electronic medical record server 130. In the case of Fig. 6(a), the medical interview information is the content of the medical interview information 412. The information that can be acquired is "mild itching," "white substance comes out when pinching the skin," "atopic constitution," and "swimming lessons have started at school."

[0034] In S404, the CPU 109 acquires examination information from the examination column of the electronic medical record server 130. In the case of FIG. 6(a), the examination information is the contents of examination 413. The examination 413 in FIG. 6(a) is blank, meaning that no information can be acquired, and that no examination has been performed. Depending on the type of disease and the skill of the doctor, it may be possible to determine the disease without performing an examination, so an examination may not be performed.

[0035] In S405, the CPU 109 acquires attribute information of the patient, such as age, sex, and skin color. In the case of FIG. 6(a), information such as "10," "F (female)," and "tan" can be acquired from age 414, sex 415, and skin color 416, respectively. After acquiring the attribute information in S405, the process proceeds to S406, where acquisition of examination information is completed. Note that since the name of the disease has not been confirmed at the time of the examination, no information is entered in definitive diagnosis 417.

[0036] When the acquisition of the medical examination information in FIG. 5 is completed, the process returns to FIG. 2 and proceeds to S305.

[0037] In S305, the CPU 109 determines whether the disease name of the patient under diagnosis is one of the disease names to be collected. The detailed flow of the determination operation in S305 will be described with reference to FIG.

[0038] When the process of determining the disease name to be collected starts in S501, the CPU 109 compares the registered disease name with the disease name of the patient currently being examined in S502. As a result, in S503, if the registered disease name and the disease name of the patient currently being examined match, the process proceeds to S508, and if not, the process proceeds to S504.

[0039] Here, it can be seen from FIG. 4(a) that the registered disease name is "water warts." On the other hand, it can be seen from the differential diagnosis 411 in FIG. 6(a) that the disease name of the patient under examination is also "water warts." Because the disease names match, the process proceeds to S508, where the CPU 109 determines that there is a high possibility that the disease names match. Thereafter, the process proceeds to S509, where the determination of the disease name possibility is completed.

[0040] On the other hand, if it is determined in S502 that the disease names do not match, the process proceeds to S504, where a comparison is made between the disease characteristics and the medical interview to estimate the disease name. In FIG. 4(b), the disease characteristics are expressed as "size greater than 6 mm." Meanwhile, the medical interview 422 in FIG. 6(b) states "greater than 6 mm." In this way, the disease characteristics and the results of the medical interview are acquired and compared. Once the comparison is complete, the process proceeds to S505. If the comparison in S504 indicates that there is evidence that the two diseases are the same, the process proceeds to S508. If there is no evidence that the two diseases are the same, the process proceeds to S506. Note that in this embodiment, the disease characteristics and the medical interview are both free-form descriptions, but a method in which several characteristics are prepared in advance and the user is allowed to select one may also be used.

[0041] In S506, the examination method for the disease name to be collected is compared with the examination method used at the time of the medical examination. In Figure 4(b), the disease examination methods are defined as "dermoscopy" and "pathological examination." Meanwhile, in Figure 6(b), examination 423 has records of "dermoscopy" and "pathological examination." In this way, the respective examination methods are obtained and compared. Once the comparison is complete, the process proceeds to S507. If the examination methods match, the process proceeds to S508. If the examination methods do not match, the process proceeds to S509, where it is determined that the disease names are unlikely to match. The process then proceeds to S510, where the determination of the likelihood of a match between the diseases is completed.

[0042] In this embodiment, whether the illness being examined is an illness to be collected is determined according to the flow of FIG. 7, but a plurality of items may be used simultaneously to make a comprehensive determination.

[0043] After the determination in S305 is completed, the CPU 109 determines the next process in S306 based on the determination result in S305. If it is determined that the same disease, that is, the disease being examined, is a disease for which images are to be collected, the process proceeds to S308, where the user (doctor) is suggested to take an image (a notification is issued urging the user to take an image). If it is not determined that the disease is the same, the process proceeds to S307.

[0044] In S307, the CPU 109 determines whether the name of the disease is unknown at the time of differential diagnosis. Depending on the condition and the medical history, it may not be possible to guess the name of the disease at the time of examination. If the name of the disease is "unknown," as in differential diagnosis 431 in FIG. 6(d), it is impossible to predict what the final name of the disease will be, so the process proceeds to S308 and an image is taken just in case. Conversely, if a prediction can be made to some extent and the name of the disease can be said to be different from the name of the disease for which the image was collected, the process proceeds to S309.

[0045] Details of S308 will now be described with reference to the flowchart of FIG.

[0046] When a suggestion to take a photograph is started in S601, the CPU 109 acquires the target number of collections in S602. The target number of collections is acquired from the target number of collections input field 214 in FIG.

[0047] In S603, the CPU 109 acquires the current number of images taken, which is acquired from the collection number 240 in FIG.

[0048] In S604, the CPU 109 checks whether the number of captured images has reached the target value. Specifically, the CPU 109 compares the target collection number acquired from the target collection number input field 214 with the number of collected images acquired from the collection number 240. If the collection number 240 is greater than or equal to the target collection number, it is determined that the target value has been reached, and the process proceeds to S611. If the collection number 240 is smaller, the process proceeds to S605.

[0049] In S605, the CPU 109 checks the leveling flag. In S606, if the check box 215 for attempting leveling in FIG. 3B is not checked, the process proceeds to S607, and if the check box 215 for attempting leveling is checked, the process proceeds to S608.

[0050] In S608, if any images have been taken so far, the CPU 109 collects attribute information of the patient whose image was taken. The collection destination may be the electronic medical record server 130, or the patient attribute information may be recorded together with the image in the electronic medical record terminal 100.

[0051] For example, Fig. 9 shows a state in which images of three patients have already been taken and their attribute information has been organized. In Fig. 9, the patient's gender, age, and skin color are organized. If standardization is performed by gender, there will be two genders, F (female) and M (male), so the value in the collection target number input field 214 for each gender is halved, the images are classified by gender, and the number of images collected is counted.

[0052] In S609, the CPU 109 checks the target value for each gender and the current number of images taken for each gender of the subject.

[0053] In S610, if the target number of images of the gender of the current subject has been reached, the process proceeds to S611, whereas if the target number has not been reached, the process proceeds to S607.

[0054] While the above example shows equalization by gender, it is also possible to equalize by age. When equalizing by age, you can equalize by generation, such as teenagers or people in their twenties, or you can create groups such as children up to 20 years old, adults 21 to 60 years old, and seniors 61 years old and over, and then divide the target number of photos by the number of groups to set the target value for each group.

[0055] From the perspective of standardization, it is also possible to eliminate bias in the number of photographers. The target value can be divided by the number of doctors who may be in charge of the examination, and an individual target number of images can be set for each doctor. When multiple doctors are each taking images, it is possible to display not only the number of images taken by each doctor but also the number of images taken by other doctors on the screen, to draw the doctor's attention to taking images of the affected area. In addition, doctors who take fewer images can be displayed in larger letters, etc., differently from doctors who take more images.

[0056] In addition, if the information about staff members that can be obtained from the electronic medical record server 130 includes years of service and medical experience, doctors with less experience may not be prompted to take images for AI training.

[0057] In S607, the CPU 109 displays the screen of Fig. 10(a) on the display 104 or the digital camera 120 to prompt the doctor to take a photograph. When the screen of Fig. 10(a) is displayed, a sound may be emitted from the electronic medical record terminal 100 or the digital camera 120 to call the doctor's attention.

[0058] Images captured with the screen in FIG. 10(a) displayed are saved in the folder structure shown in FIG. 11. An affected area image folder 950 is located under a base image save folder 940. Under the affected area image folder 950 is a patient ID folder named after the patient ID, and the captured image is saved under the patient ID folder. The file name of the captured image will be Patient ID_SO_Disease Name. SO stands for Suspect Of, indicating that there is suspicion. Furthermore, because the file name can be easily changed, a string equivalent to the file name is written in the EXIF ​​of the captured image.

[0059] When the photographing is completed in S607, the process proceeds to S611, where the CPU 109 ends the photographing suggestion. When the photographing suggestion is completed, the process proceeds to S309.

[0060] Although the above describes an example of suggesting whether or not to take a photo, when taking a photo, images with the same angle of view may not be sufficient as images for AI training. Therefore, the angle of view and composition of images taken in the past for the same purpose may be analyzed, and the missing angle of view and composition may be presented to the user.

[0061] In S309, the CPU 109 suggests imaging of rare diseases. Details of S309 will be described with reference to FIG.

[0062] When the suggestion to capture a rare disease is initiated in S1001, in S1002 the CPU 109 compares the differential disease with the rare disease name. The differential disease name is included in the information acquired from the electronic medical record server 130. In the case of the information acquired from the electronic medical record server 130 shown in Figure 6(e), "pemphigus vulgaris" is entered in the differential diagnosis 441. The rare disease name is the disease name entered in the disease name 221 in Figure 3(c). In Figure 3(c), "pemphigus vulgaris" is entered. When the comparison is completed in S1002, the process proceeds to S1003.

[0063] If the disease names are not the same in S1003, the CPU 109 determines that the disease does not correspond to the rare disease to be imaged, and proceeds to S1006. If the disease names are the same, proceed to S1004.

[0064] In S1004, it is determined whether or not an image has been taken of the patient in question. As shown in FIG. 11 above, images of the affected area are recorded in association with the patient ID and disease name. If the patient in FIG. 6(e) is currently being examined, it can be seen from FIG. 11 that images of the patient suspected of having pemphigus vulgaris have already been recorded. If it can be determined that an image has already been taken, the process proceeds to S1006. On the other hand, if an image has not been taken, the process proceeds to S1005, where a screen prompting the user to take an image is displayed.

[0065] When prompting the doctor to take a photo, the screen in Fig. 10(b) is displayed on the display 104 or the digital camera 120 to prompt the doctor to take a photo. When the screen in Fig. 10(b) is displayed, a sound may be emitted from the electronic medical record terminal 100 or the digital camera 120 to draw the doctor's attention. Also, a screen prompting the doctor to take a photo may be presented, including suggestions on the number of images and composition that are effective for determining rare diseases.

[0066] Images captured with the screen of FIG. 10(b) displayed are saved in the folder structure shown in FIG. 11. An affected area image folder 950 is located under the base image saving folder 940. Under the affected area image folder 950 is a patient ID folder named after the patient ID, and captured images are saved under the patient ID folder. The file name of the captured image will be "Patient ID_SO_Disease Name." SO stands for "Suspect Of," indicating that there is suspicion. Since the file name can be easily changed, a string equivalent to the file name is written in the EXIF ​​of the captured image. Furthermore, if the image is captured as a suspected rare disease, the string "Rare Disease" is added and written to the EXIF ​​as the purpose of the capture. When the capture is completed in S1005, the process proceeds to S1006, where the suggestion for capture is completed.

[0067] After the imaging suggestion for rare diseases is completed in S309, the process proceeds to determining the learning image in S310. Details of the process in S310 will be described with reference to FIG.

[0068] When the process of determining the learning image starts in S801, the CPU 109 acquires a definitive diagnosis in S802. As the medical treatment progresses, the name of the disease is determined based on test results, a conference, or the like.

[0069] In Figure 6(a), a definitive diagnosis has not yet been made, so the definitive diagnosis field 417 is blank. However, as the medical treatment progresses, the diagnosis is confirmed, and the medical information that can be obtained from the electronic medical record server 130 becomes as shown in Figure 6(f). In Figure 6(f), it can be seen that "molluscum contagiosum" has been entered in the definitive diagnosis field 417a. After attempting to obtain a definitive diagnosis in S802, the process proceeds to S803.

[0070] In S803, the CPU 109 checks whether a definitive diagnosis can be obtained, and if it cannot be obtained, the process proceeds to S804 and waits until a definitive diagnosis is input.

[0071] If it is confirmed in S803 that a definitive diagnosis has been obtained, the process proceeds to S805. In S805, the CPU 109 determines whether the definitive diagnosis is the same as the disease to be collected. Specifically, the CPU 109 compares the disease name entered in the disease name input field 211 in FIG. 3(b) with the definitive diagnosis in the medical information obtained from the electronic medical record server 130.

[0072] If the definitive diagnosis and the collected disease are different, proceed to S807. If the definitive diagnosis and the collected disease are the same, proceed to S806, copy the image of the affected area to a folder for AI learning, and clarify that it is the disease name to be collected.

[0073] The copy process will be explained using Figure 11. The image of the suspected wart with patient ID 01234567 shown in Figure 6(f) is saved only under folder 950 for saving images of the affected area until the disease name is determined. Once the disease name is determined, a disease name folder is created under folder 960 for saving images for AI training, and a patient ID folder is created under that disease name folder. Furthermore, a copy of the suspected wart image is saved under that patient ID folder with a file name of "Patient ID_Disease Name". When changing the file name, "Patient ID_SO_Disease Name" recorded in the EXIF ​​of the captured image may be updated to "Patient ID_Disease Name".

[0074] If the copy source file does not exist, the copy process may be omitted. Alternatively, the patient's next visit to the hospital may display a message on the electronic medical record terminal 100 or digital camera 120 prompting them to take a photo, and the captured image may be recorded as the copy source file. Alternatively, the patient may be contacted by telephone or the like and asked to take a photo of the affected area using a device owned by the patient, and the patient's captured image may be imported into the electronic medical record terminal 100 as the copy source file at the patient's next visit to the hospital.

[0075] When the process of S806 is completed, the process proceeds to S807, where the determination of the learning images is completed. When the determination of the learning images is completed, the process proceeds to S311, where the photography support is completed.

[0076] As described above, according to the above embodiment, rather than prompting the doctor (user) to take images of all affected areas, it is possible to collect images of the affected areas that the doctor wants to collect by prompting the doctor to take images of only the affected areas of the disease for which the doctor wants to collect images, without placing an excessive burden on the doctor.

[0077] (Other embodiments) The present invention can also be realized by supplying a program that realizes one or more of the functions of the above-described embodiments to a system or device via a network or a storage medium, and having one or more processors in the computer of the system or device read and execute the program.The present invention can also be realized by a circuit (e.g., ASIC) that realizes one or more of the functions.

[0078] The disclosure of this specification includes the following photography support device and method, program, and storage medium.

[0079] (Item 1) a registration means for registering the name of a disease to be photographed; An acquisition means for acquiring medical information of a patient recorded in an electronic medical record; a determination means for determining whether the name of the patient's disease acquired by the acquisition means matches the name of the disease to be photographed that is registered by the registration means; a notification means for notifying a user to take an image of the affected area when the determination means determines that the disease name of the patient matches the disease name of the image-taking target; A photography support device comprising:

[0080] (Item 2) 2. The photographing support device according to item 1, further comprising an estimation unit for estimating the name of the disease of the patient based on medical information of the patient.

[0081] (Item 3) The photographing support device described in item 2 is characterized in that the determination means determines whether the name of the patient's disease estimated by the estimation means matches the name of the disease to be photographed registered by the registration means.

[0082] (Item 4) The imaging support device described in any one of items 1 to 3 is characterized in that the acquisition means acquires information on a definitive diagnosis from the electronic medical record, and the determination means determines whether the disease name in the information on the definitive diagnosis matches the disease name of the target of imaging.

[0083] (Item 5) The imaging support device described in any one of items 1 to 4 is characterized in that it further comprises a setting means for setting a target number of images of the affected area to be collected for the disease name to be photographed, and the notification means issues a notification to encourage the user to photograph the affected area if the current number of collected images does not reach the target number.

[0084] (Item 6) The photographing support device according to any one of items 1 to 5, wherein the notification means issues a notification to prompt the user to photograph the affected area when the name of the disease cannot be determined from the patient's medical information.

[0085] (Item 7) 7. The imaging support device according to any one of items 1 to 6, further comprising a recording unit that records an image captured in response to a notification prompting the imaging of the affected area.

[0086] (Item 8) 8. The photographing support device according to item 7, wherein the recording means adds information about the purpose of photographing to the photographed image and records the image.

[0087] (Item 9) The registration means further registers the name of a rare disease, and the notification means issues a notification to prompt the user to take a photograph of the affected area when the determination means determines that the name of the patient's disease acquired by the acquisition means matches the name of the rare disease.

[0088] (Item 10) Item 10. The photography support device according to item 9, wherein the notification means notifies the user to take pictures of the affected area, including suggesting the number of pictures and composition that are effective for determining the rare disease.

[0089] (Item 11) The imaging support device described in any one of items 1 to 10 is characterized in that it further comprises a classification means for classifying images of diseases recorded in the past, and further comprises a leveling means for leveling the number of images taken for each classification.

[0090] (Item 12) 12. The photographing support device according to any one of items 1 to 11, wherein the notification means displays the notification on a screen.

[0091] (Item 13) 13. The photographing support device according to any one of items 1 to 12, wherein the notification means issues the notification by emitting a sound.

[0092] (Item 14) 14. The imaging support device according to any one of items 1 to 13, further comprising a display means for displaying the target number of images of the affected area for the disease name to be imaged and the current number of images collected.

[0093] (Item 15) a registration step of registering the name of the disease to be photographed; an acquisition step of acquiring medical information of a patient recorded in an electronic medical record; a determination step of determining whether the disease name of the patient acquired in the acquisition step matches the disease name of the imaging target registered in the registration step; a notification step of notifying a user to prompt the user to photograph the affected area when it is determined in the determination step that the disease name of the patient matches the disease name of the imaging target; A photography support method comprising:

[0094] (Item 16) Item 16. A program for causing a computer to execute each step of the photography support method described in Item 15.

[0095] (Item 17) A computer-readable storage medium storing a program for causing a computer to execute each step of the photography support method described in item 15.

[0096] The invention is not limited to the above-described embodiments, and various changes and modifications can be made without departing from the spirit and scope of the invention. Accordingly, the following claims are appended to apprise the public of the scope of the invention. [Explanation of symbols]

[0097] 100: Electronic medical record terminal, 101: Keyboard, 102: USB, 103: LAN, 104: Display, 105: SSD, 106: Memory, 107: Wi-Fi, 108: Mouse, 109: CPU, 120: Digital camera, 130: Electronic medical record server

Claims

1. a registration means for registering the name of a disease to be photographed; An acquisition means for acquiring medical information of a patient recorded in an electronic medical record; a determination means for determining whether the name of the patient's disease acquired by the acquisition means matches the name of the disease to be photographed that is registered by the registration means; a notification means for notifying a user to take an image of the affected area when the determination means determines that the disease name of the patient matches the disease name of the image-taking target; A photography support device comprising:

2. 2. The imaging support device according to claim 1, further comprising an estimation unit for estimating the name of the disease of the patient based on the medical information of the patient.

3. 3. The imaging support device according to claim 2, wherein the determining means determines whether the name of the patient's disease estimated by the estimating means matches the name of the disease to be imaged that is registered by the registering means.

4. The imaging support device described in claim 1, characterized in that the acquisition means acquires information on a definitive diagnosis from the electronic medical record, and the determination means determines whether the disease name in the information on the definitive diagnosis matches the disease name of the target of imaging.

5. The imaging support device according to claim 1, further comprising a setting means for setting a target number of images of the affected area to be collected for the disease name to be photographed, and the notification means notifies the user to urge the user to photograph the affected area if the current number of collected images does not reach the target number.

6. 2. The imaging support device according to claim 1, wherein the notification means issues a notification to prompt the user to take an image of the affected area when the name of the disease cannot be determined from the medical information of the patient.

7. 2. The imaging support device according to claim 1, further comprising a recording unit for recording an image taken in response to a notification prompting the imaging of the affected area.

8. 8. The photography support device according to claim 7, wherein said recording means records the photographed image by adding information about the purpose of the photograph to the photographed image.

9. The photographing support device of claim 1, characterized in that the registration means further registers the name of a rare disease, and the notification means issues a notification urging the user to photograph the affected area when the determination means determines that the patient's disease name acquired by the acquisition means matches the name of the rare disease.

10. The photographing support device according to claim 9 , wherein the notification unit issues a notification to encourage the user to take photographs of the affected area, including a suggestion of a number of photographs and a composition that are effective for determining whether the rare disease exists.

11. 2. The imaging support device according to claim 1, further comprising a classification unit that classifies images of diseases recorded in the past, and a leveling unit that levels the number of images taken for each classification.

12. 2. The photographing support device according to claim 1, wherein the notification means displays the notification on a screen.

13. 2. The photographing support device according to claim 1, wherein the notification means issues the notification by emitting a sound.

14. 2. The imaging support device according to claim 1, further comprising a display unit for displaying a target number of images of the affected area for the disease name to be imaged and the current number of images collected.

15. a registration step of registering the name of the disease to be photographed; an acquisition step of acquiring medical information of a patient recorded in an electronic medical record; a determination step of determining whether the disease name of the patient acquired in the acquisition step matches the disease name of the imaging target registered in the registration step; a notification step of notifying a user to prompt the user to photograph the affected area when it is determined in the determination step that the disease name of the patient matches the disease name of the imaging target; A photography support method comprising:

16. A program for causing a computer to execute each step of the photography support method according to claim 15.

17. A computer-readable storage medium storing a program for causing a computer to execute each step of the photography support method according to claim 15.

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