Medical information processing device, medical information processing method, and medical information processing program

Abstract

To specify accidental findings and attract attention to the accidental findings while suppressing an increase in costs.SOLUTION: A medical information processing device includes a first acquisition part, a second acquisition part, a specification part, and a display control part. The first acquisition part acquires examination purpose information on an examination purpose including descriptions on a first disease candidate of a patient and a diagnostic reading report on an image examination performed according to the examination purpose. The second acquisition part acquires diagnostic reading information including descriptions on the first disease candidate from the diagnostic reading report. The specification part specifies accidental findings that the diagnostic reading information describes on a second disease candidate different from the first disease candidate. The display control part causes a display unit to display the specified result.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The embodiments disclosed in this specification and the drawings relate to a medical information processing device, a medical information processing method, and a medical information processing program. [Background technology]

[0002] A medical doctor requests an imaging test for the purpose of diagnosing a suspected disease or abnormality in a patient. In an imaging test, medical images of the patient are taken using X-ray CT (Computed Tomography) or MRI (Magnetic Resonance Imaging), etc. The radiologist interprets the captured medical images by displaying them on a report creation device and creates a radiology report that describes any abnormalities found in the medical images and the suspected diseases associated with those abnormalities. Such radiology reports may include incidental findings related to diseases or abnormalities that were not anticipated at the time of the request.

[0003] On the other hand, when a doctor checks an image interpretation report displayed on a medical information processing device, he or she focuses on the truth of the assumption, such as whether or not the image shows the expected disease or abnormality. As a result, the doctor may overlook incidental findings related to unexpected diseases or abnormalities in the image interpretation report.

[0004] In response to this, the following three measures have been taken to ensure that incidental findings are not overlooked.

[0005] In the first measure, radiologists assign importance flags to incidental findings in radiology reports, which is expected to encourage treating physicians to pay attention to the importance flags when reviewing radiology reports.

[0006] The second measure is to establish a system for third-party checking, which will enable a third party to check whether the treating physician has confirmed incidental findings in the radiology report.

[0007] The third measure involves managing whether radiology reports are read or unread by doctors, which is expected to encourage doctors to mark unread radiology reports as read.

[0008] According to the inventor's investigation, the above three countermeasures have room for improvement in the following respects. For example, the first countermeasure has the disadvantage of forgetting to mark incidental findings as important or marking unimportant items as important. This disadvantage is thought to be caused by the inability to identify incidental findings. The second countermeasure has the disadvantage of increasing costs because it requires the expense of a third party to check. The third countermeasure has the disadvantage of not necessarily noticing the incidental findings even if the radiology report has been read.

[0009] Therefore, in order to avoid overlooking incidental findings, it is desirable to be able to identify incidental findings and draw attention to them while suppressing increases in costs. [Prior art documents] [Patent documents]

[0010] [Patent Document 1] Japanese Patent Application Laid-Open No. 2013-165780 Summary of the Invention [Problem to be solved by the invention]

[0011] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to identify incidental findings and draw attention to them while suppressing increases in costs. However, the problems to be solved by the embodiments disclosed in this specification and the drawings are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described below can also be positioned as other problems. [Means for solving the problem]

[0012] A medical information processing device according to an embodiment includes a first acquisition unit, a second acquisition unit, an identification unit, and a display control unit. The first acquisition unit acquires examination purpose information relating to an examination purpose including a description of a first disease candidate of a patient, and an interpretation report relating to an imaging examination performed in accordance with the examination purpose. The second acquisition unit acquires interpretation information including a description of the first disease candidate from the interpretation report. The identification unit identifies an incidental finding described in the interpretation information regarding a second disease candidate different from the first disease candidate. The display control unit displays the identified results on a display. [Brief explanation of the drawings]

[0013] [Figure 1] FIG. 1 is a block diagram showing a medical image processing apparatus according to the first embodiment and its peripheral configuration. [Figure 2] FIG. 2 is a block diagram showing the configuration of the medical information processing apparatus of FIG. [Figure 3] FIG. 3 is a schematic diagram for explaining an example of the flow of image inspection in the first embodiment. [Figure 4] FIG. 4 is a schematic diagram showing an example of the electronic medical record of FIG. [Figure 5] FIG. 5 is a schematic diagram showing an example of the test order of FIG. [Figure 6] FIG. 6 is a schematic diagram showing an example of the radiology report of FIG. [Figure 7] FIG. 7 is a flowchart for explaining the operation in the first embodiment. [Figure 8] FIG. 8 is a schematic diagram for explaining the operation in the first embodiment. [Figure 9] FIG. 9 is a schematic diagram for explaining the operation in the first embodiment. [Figure 10] FIG. 10 is a schematic diagram for explaining the operation in the first embodiment. [Figure 11] FIG. 11 is a schematic diagram for explaining the operation in the first embodiment. [Figure 12]FIG. 12 is a schematic diagram for explaining the operation in the first embodiment. [Figure 13] FIG. 13 is a block diagram showing the configuration of a medical image processing apparatus according to the second embodiment. [Figure 14] FIG. 14 is a schematic diagram illustrating a trained model according to the second embodiment. [Figure 15] FIG. 15 is a block diagram showing a medical image processing apparatus according to a modified example of the second embodiment and its peripheral configuration. [Figure 16] FIG. 16 is a block diagram showing the configuration of a medical image processing apparatus according to the third embodiment. [Figure 17] FIG. 17 is a schematic diagram illustrating a trained model according to the third embodiment. [Figure 18] FIG. 18 is a schematic diagram for explaining an example of display in a graph format in the third embodiment. [Figure 19] FIG. 19 is a schematic diagram for explaining another example of display in a graph format in the third embodiment. [Figure 20] FIG. 20 is a schematic diagram for explaining yet another display example in a graph format in the third embodiment. [Figure 21] FIG. 21 is a schematic diagram for explaining a processing circuit according to the fourth embodiment. [Figure 22] FIG. 22 is a schematic diagram for explaining an example of the flow of an endoscopic examination in the fourth embodiment. [Figure 23] FIG. 23 is a schematic diagram for explaining an example of an electronic medical record in the fourth embodiment. [Figure 24] FIG. 24 is a schematic diagram for explaining an example of an examination order in the fourth embodiment. [Figure 25] FIG. 25 is a schematic diagram for explaining an example of a pathology report according to the fourth embodiment. [Figure 26] FIG. 26 is a schematic diagram for explaining an example of an endoscopic report according to the fourth embodiment. [Figure 27]FIG. 27 is a block diagram showing the configuration of a medical image processing apparatus according to the fifth embodiment. [Figure 28] FIG. 28 is a schematic diagram for explaining a processing circuit according to the fifth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0014] The medical information processing device, medical information processing method, and medical information processing program according to the present embodiment will be described below with reference to the drawings. In the following description, the term "disease" refers to any object that can be interpreted in an imaging test, and is not limited to diseases with names, but also includes abnormalities such as bleeding.

[0015] First Embodiment FIG. 1 is a block diagram showing a medical information processing apparatus and its peripheral configuration according to a first embodiment. The medical information processing apparatus 1 shown in FIG. 1 is, for example, an apparatus capable of comprehensively observing medical information. The medical information processing apparatus 1 is equipped with, for example, an integrated viewer. The integrated viewer is an application that comprehensively presents medical information to a user. The integrated viewer may be implemented in any form, such as a web application, a fat client application, or a thin client application. The medical information processing apparatus 1 is communicably connected to a hospital information system (HIS) 2, a radiology information system (RIS) 3, a medical image diagnostic apparatus 4, a medical image management system (PACS: Picture Archiving and Communication Systems) 5, a medical department system 6, an examination department system 7, and a data warehouse (DWH: Data Ware House) 8 via an intra-hospital network such as a local area network (LAN).

[0016] 1, the HIS2 includes, for example, an electronic medical record system that manages information related to electronic medical records. The information related to electronic medical records includes, for example, patient information and multiple pieces of medical information. The patient information is information specific to a patient, and includes, for example, a patient ID, a patient name, a patient gender, an age, and the like.

[0017] The multiple pieces of medical information are associated with a patient ID and are information that medical professionals have learned about a patient's physical condition, medical condition, treatment, etc. during the course of medical care. Each piece of medical information individually includes various types of information, such as image information, examination history information, electrocardiogram information, vital sign information, medication history information, report information, medical chart information, and nursing record information. The various pieces of information within the medical information are distinguishable by data type. Similarly, the various pieces of information included in each of the image information, examination history information, electrocardiogram information, vital sign information, medication history information, report information, medical chart information, and nursing record information are distinguishable by data type. The image information is, for example, information indicating the location of medical images acquired by photographing a patient. The image information includes, for example, information indicating the location of medical image files (described below) generated by the medical image diagnostic device 4 as a result of an examination. The examination history information is, for example, information indicating the history of test results acquired as a result of specimen tests, bacteriological tests, etc., performed on a patient. Electrocardiogram information is, for example, information regarding an electrocardiogram waveform measured from a patient. Vital sign information is, for example, basic information related to the patient's life. Vital sign information includes, for example, pulse rate, respiratory rate, oxygen concentration, body temperature, blood pressure, and level of consciousness. Medication history information is, for example, information indicating the history of the amount of medication administered to a patient. Report information is, for example, information summarizing the patient's condition and disease after a radiologist interprets medical images such as X-ray images, CT images, MRI images, and ultrasound images in response to an examination request from a medical doctor in a clinical department. Report information includes, for example, an interpretation report created by the radiologist with reference to medical image files stored in a PACS5. Note that, since report information is generally stored in a PACS5, the electronic medical record system can display the report information by reading the report information from the PACS5.

[0018] The medical record information is, for example, information entered into an electronic medical record by a treating physician, etc. The medical record information includes, for example, the chief complaint, medical history, complications, oral medications, family history, physical findings, test ID, test date, test type, body part, test purpose, suspected diagnosis, information on the person requesting the test (name of the treating physician), etc.

[0019] The nursing record information is, for example, information entered into an electronic medical record by a nurse, etc. The nursing record information includes nursing records at the time of hospitalization, etc.

[0020] The HIS 2 also includes, for example, an ordering system that manages reservation information, order information, etc. The HIS 2 may also be configured such that the electronic medical record system includes an ordering system.

[0021] Reservation information includes, for example, information about consultation appointments and test appointments. Information about consultation appointments includes, for example, the consultation date, consultation time, reception number, requesting physician, and requesting department. Information about test appointments includes, for example, the test date, test time, and reception number. Test orders are, for example, information about orders requested by medical doctors, etc., and include order information about imaging tests, specimen tests, physiological tests, prescriptions, and medications. If the test order is order information requesting an imaging test, the test order includes, for example, the order number, patient information, test ID, test date, test type, test area, test purpose, suspected diagnosis, and requester information. The order number is a number issued when the test order is entered, and is an identifier that uniquely identifies the test order within, for example, a single hospital. The test ID is an identifier that can identify the test. Examination types include X-ray examinations, CT (Computed Tomography) examinations, MR (Magnetic Resonance) examinations, RI (Radio Isotope) examinations, and specimen examinations. Examination sites include, for example, the abdomen, brain, and chest. Requester information includes the name of the medical department and the name of the doctor in charge. Information regarding examination reservations is linked to order information.

[0022] RIS3 is a system that manages examination reservation information related to radiological examination work. RIS3 adds various setting information to examination order information input by a medical doctor in, for example, an ordering system included in HIS2, accumulates the information, and manages the accumulated information as examination reservation information. RIS3 may add various setting information to examination order information using an irradiation record that records various setting information set in the medical image diagnostic device 4 during past examinations. RIS3 transmits an examination order to the medical image diagnostic device 4 in accordance with the examination reservation information. RIS3 also transmits examination implementation information generated by the medical image diagnostic device 4 as a result of the examination to an electronic medical record system included in HIS2.

[0023] The medical image diagnostic device 4 is a device that performs an examination by taking images of a patient, etc. The medical image diagnostic device 4 includes, for example, an X-ray computed tomography device, an X-ray diagnostic device, a magnetic resonance imaging device, a nuclear medicine diagnostic device, an ultrasound diagnostic device, etc. The medical image diagnostic device 4 performs an examination based on examination reservation information transmitted from, for example, the RIS 3. The medical image diagnostic device 4 generates examination implementation information and transmits it to the RIS 3.

[0024] Furthermore, the medical image diagnostic device 4 generates medical image data by performing an examination. The medical image data is, for example, X-ray CT image data, X-ray image data, MRI image data, nuclear medicine image data, and ultrasound image data. The medical image diagnostic device 4 generates a medical image file by converting the generated medical image data into a format that complies with, for example, the DICOM (Digital Imaging and Communication in Medicine) standard. The medical image file is, for example, a file in a format that complies with the DICOM standard. The medical image diagnostic device 4 transmits the generated medical image file to the PACS 5.

[0025] The PACS 5 is a system for managing various medical image files. The PACS 5 stores, for example, medical image files transmitted from the medical image diagnostic device 4. The PACS 5 may also store report information attached to the medical image files or report information for examinations related to multiple medical image files.

[0026] The medical department system 6 is a system that manages the medical department. When the medical information processing device 1 notifies the medical department system 6 of the results of identifying a patient's disease candidate and patient information related to the patient, the medical department system 6 collects and manages the notified content.

[0027] The examination department system 7 is a system that manages examination reservation information related to examination work other than radiological examination work. For example, when the examination department system 7 receives examination reservation information from the ordering system or the medical information processing device 1, it accumulates and manages the examination reservation information. The examination department system 7 also transmits the examination reservation information to the examination device. The examination department system 7 also transmits examination implementation information generated by the examination device as a result of the examination being performed to the electronic medical record system included in the HIS2.

[0028] The DWH8 is a database system that collectively stores medical information (medical big data) generated by, for example, medical and nursing care institutions. The DWH8 is realized, for example, by a general server device. As shown in FIG. 1, the DWH8 includes, for example, a processing circuit 81, a memory 82, and a communication interface 83. The processing circuit 81, the memory 82, and the communication interface 83 are connected to each other so as to be able to communicate with each other, for example, via a bus.

[0029] The processing circuitry 81 is a processor that functions as the core of the DWH 8. The processing circuitry 81 executes programs stored in the memory 82 or the like to realize functions corresponding to the programs. For example, the processing circuitry 81 can appropriately use functions to collect desired information from the HIS 2, the RIS 3, the medical image diagnostic device 4, the PACS 5, etc., and to store the collected information in the memory 82. As a result, for example, information related to electronic medical records is collected from the HIS 2, examination orders are collected from the RIS 3, medical image files are collected from the medical image diagnostic device 4 or the PACS 5, and radiology reports are collected from the PACS 5.

[0030] The memory 82 is a storage device such as an HDD (hard disk drive), an SSD (solid state drive), or an integrated circuit storage device that stores various information. The memory 82 may also be a drive or the like that reads and writes various information from and to a portable storage medium such as a CD-ROM drive, a DVD drive, or a flash memory. The memory 82 stores, for example, a control program or the like that causes the processing circuit 81 to realize various functions, such as a function to collect desired information and a function to store the collected information in the memory 82. The program may be stored in a non-transitory storage medium, distributed, read from the non-transitory storage medium, and installed in the memory 82.

[0031] The communication interface 83 performs data communication between the medical information processing device 1, HIS 2, RIS 3, medical image diagnostic device 4, PACS 5, medical department system 6, and testing department system 7, which are connected via the hospital network. The standard for communication with the medical information processing device 1, HIS 2, RIS 3, medical image diagnostic device 4, PACS 5, medical department system 6, and testing department system 7 may be any standard, for example, HL7 (Hearth Level 7), DICOM, or both.

[0032] Next, details of the medical information processing apparatus 1 will be described with reference to Fig. 2. Fig. 2 is a block diagram showing the configuration of the medical information processing apparatus 1 shown in Fig. 1.

[0033] 2 includes a memory 11, an input interface 12, a display 13, a communication interface 14, and a processing circuit 15. The memory 11, the input interface 12, the display 13, the communication interface 14, and the processing circuit 15 are connected to each other so as to be able to communicate with each other, for example, via a bus.

[0034] Here, the memory 11 is composed of memories for recording electrical information, such as a ROM (Read Only Memory), a RAM (Random Access Memory), a HDD (Hardware Disk Drive), and an image memory, as well as peripheral circuits associated with these memories, such as a memory controller and a memory interface. The memory 11 stores, for example, various programs, such as a medical information processing program for the medical information processing device 1, and various data, such as various tables, data in the middle of processing, and data after processing. The medical information processing program is a program for causing a computer to function as the medical information processing device 1 that executes a medical information processing method. The medical information processing program may be stored in, for example, a non-transitory computer-readable storage medium and distributed, and then read from the storage medium and installed in the memory 11.

[0035] The input interface 12 may be implemented by a trackball, switch buttons, mouse, keyboard, touchpad (or trackpad) for inputting various instructions, commands, information, selections, and settings from an operator (user) into the medical information processing device, a touch panel display (or touch screen) that integrates a display screen and a touchpad, or the like. The input interface 12 is connected to the processing circuitry 15 and converts input operations received from the user into electrical signals and outputs them to the processing circuitry 15. In this case, the input interface 12 may display a user interface (GUI: Graphical User Interface) on the display 13, allowing the user to input various instructions using physical operation components such as a mouse or keyboard. Note that, in this specification, the input interface 12 is not limited to those having physical operation components. For example, an electrical signal processing circuit that receives electrical signals corresponding to input operations from an external input device provided separately from the device and outputs these electrical signals to the processing circuitry 15 is also included as an example of the input interface 12. In the following description, "operation of the input interface 12 by the user" is also referred to as "user operation."

[0036] The display 13 is an example of a display unit, and is composed of a display main body that displays any data, an internal circuit that supplies display signals to the display main body, and peripheral circuits such as connectors and cables that connect the display and the internal circuitry.

[0037] The communication interface 14 is a circuit for connecting the medical information processing device 1 to a network and communicating with other devices. For example, a network interface card (NIC) can be used as the communication interface 14. In the following description, the fact that the communication interface 14 is involved in communication between the medical information processing device 1 and other devices will be omitted.

[0038] The processing circuitry 15 reads the medical information processing program stored in the memory 11 based on instructions input by the user via the input interface 12 and controls the medical information processing device 1 in accordance with the program. For example, the processing circuitry 15 is a processor that implements each function of the medical information processing device 1 in accordance with the medical information processing program read from the memory 11. Examples of the functions include a first acquisition function 15a, a second acquisition function 15b, a specific function 15c, a display control function 15d, a notification function 15e, and a reservation function 15f. Each function may be distributed among multiple processors as appropriate. Alternatively, each function or part of each function may be executed by another device as appropriate. For example, among the functions, the notification function 15e and the reservation function 15f may be executed by another device (not shown). In other words, the notification function 15e and the reservation function 15f are optional additional functions that are not necessarily required for the medical information processing device 1 and may be omitted from the medical information processing device 1.

[0039] Next, the first acquisition function 15a, the second acquisition function 15b, the identification function 15c, the display control function 15d, the notification function 15e, and the reservation function 15f will be described in order. However, the allocation of the functions described below is for convenience and can be changed as appropriate. This is because even if a process that is assigned to one function is assigned to another function, the processing circuit 15 still executes that process. Note that the fact that the allocation of the functions can be changed also applies to the following embodiments and modified examples.

[0040] The first acquisition function 15a acquires examination purpose information regarding the examination purpose, including a description of a first disease candidate for the patient. Here, the first disease candidate is a disease that the treating physician anticipates when requesting an imaging examination. The examination purpose includes a description of the first disease candidate that the treating physician wishes to confirm through the imaging examination. The first acquisition function 15a also acquires the examination purpose information based on at least one of the patient's electronic medical record, the examination order for the imaging examination, and the radiology report acquired from the DWH8. Specifically, for example, the first acquisition function 15a acquires the examination purpose information based on at least the patient information, examination purpose, and suspected diagnosis items among the patient information, chief complaint, medical history, comorbidities, oral medications, family history, physical findings, examination purpose, and suspected diagnosis items. That is, the first acquisition function 15a acquires the examination purpose information based on at least the items included in the electronic medical record, the examination order, and the radiology report that are common to at least the three items. The first acquisition function 15a may acquire the electronic medical record, the examination order, and the radiology report from a location other than the DWH 8. For example, the first acquisition function 15a may acquire the electronic medical record and the examination order from an electronic medical record system and an ordering system included in the HIS 2, respectively. The first acquisition function 15a may also acquire the radiology report from the PACS 5. The first acquisition function 15a is an example of a first acquisition unit.

[0041] The second acquisition function 15b acquires interpretation information including a description of the first disease candidate from an interpretation report on an imaging test performed according to the purpose of the test. For example, the second acquisition function 15b acquires interpretation information based on at least the finding item among the items of findings, evaluation and interpretation, and interpretation results included in the interpretation report. The second acquisition function 15b is an example of a second acquisition unit.

[0042] The identification function 15c identifies incidental findings described in the interpretation information acquired by the second acquisition function 15b regarding a second disease candidate different from the first disease candidate. The identification function 15c also further identifies descriptions regarding the first disease candidate from the interpretation information. For example, the identification function 15c extracts the first disease candidate from the examination purpose information, extracts from the interpretation information a disease candidate including at least the first disease candidate among the first disease candidate and the second disease candidate, and identifies incidental findings based on the extracted first disease candidate and the disease candidate. Specifically, for example, the identification function 15c extracts the first disease candidate by analyzing the examination purpose information, and extracts the disease candidate by analyzing the interpretation information. The identification function 15c is an example of an identification unit.

[0043] The display control function 15d displays the results identified by the identification function 15c on the display 13. Here, the display control function 15d may highlight the identified results on the display 13. The display control function 15d may also display the identified results on the display 13 so as to distinguish between the incidental finding and the description regarding the first disease candidate. The display control function 15d may also display on the display 13 that the incidental finding is inconsistent with the purpose of the examination and that the description regarding the first disease candidate is consistent with the purpose of the examination. The display control function 15d may highlight the incidental finding and the description regarding the first disease candidate on the display 13. The display control function 15d is an example of a display control unit.

[0044] The notification function 15e notifies the result identified by the identification function 15c and patient information related to the patient to the medical department system 6. The notification function 15e is an example of a notification unit.

[0045] The reservation function 15f transmits examination reservation information for the patient, relating to the result identified by the identification function 15c, to the testing department system 7. The reservation function 15f is an example of a reservation unit.

[0046] Next, the operation of the medical information processing device configured as above will be explained using Figures 3 to 12. First, the flow of the image examination will be explained using Figures 3 to 6. Next, the identification of incidental findings will be explained using Figures 7 to 12.

[0047] First, an imaging test is performed following the flow shown from left to right in Figure 3. That is, a medical doctor D1 examines a patient P and fills out an electronic medical record 201 for each item. Items in the electronic medical record 201 include, for example, patient information, chief complaint, medical history, complications, oral medications, family history, physical findings, findings, test ID, test date, test type, body part, test purpose, suspected diagnosis, and medical doctor, as shown in Figure 4. Note that before a test order 202 is issued, the electronic medical record 201 does not contain any description of the test purpose, such as the test ID, test date, test type, body part, test purpose, or suspected diagnosis.

[0048] Next, the treating physician D1 inputs information for each item using the ordering system of HIS2 to issue an examination order 202 and requests an imaging examination from the image interpretation physician D2 (or technician). Items of the examination order 202 include, for example, patient information, examination ID, examination date, examination type, body part, examination purpose, suspected diagnosis, treating physician, etc., as shown in Figure 5.

[0049] Based on the examination order 202 and the electronic medical record 201, the image interpretation physician D2 performs an imaging examination on the patient P using the medical image diagnostic device 4, and obtains a medical image 203 of the patient. The image interpretation physician D2 also interprets the medical image 203 while displaying the examination order 202, the electronic medical record 201, and the medical image 203 on the report creation device, thereby creating an image interpretation report 204. As shown in FIG. 6, the image interpretation report 204 may include, for example, patient information, examination ID, examination date, examination type, body part, examination purpose, suspected diagnosis, findings, evaluation, interpretation, image interpretation results, image interpretation physician, medical image, etc. That is, when creating the image interpretation report 204, the image interpretation physician writes down the items of findings, evaluation, interpretation, and image interpretation results.

[0050] Thereafter, the doctor displays and checks the interpretation report 204 on the medical information processing device 1. At this time, the doctor operates the medical information processing device 1 as shown in steps ST1 to ST6 in FIG. 7 to prevent overlooking incidental findings related to unexpected diseases.

[0051] (Step ST1) The processing circuitry 15 of the medical information processing device 1 acquires examination purpose information at the time of requesting an imaging examination from the electronic medical record 201, examination order 202, or image interpretation report 204 stored in the DWH8.

[0052] The test purpose information includes at least descriptions of the patient information, test purpose, and suspected diagnosis items for patient P, including patient information, chief complaint, medical history, comorbidities, oral medications, family history, physical findings, test purpose, and suspected diagnosis. Here, patient information includes items such as gender and age. The chief complaint is an item related to subjective symptoms, such as headache. Medical history is an item related to illnesses and medical treatments the patient has had in the past. A comorbidity is an item related to illnesses that occur simultaneously with a certain illness but are unrelated to the original illness. Oral medications are an item related to medications the patient is currently taking. The family history is an item related to the patient's family, such as a mother with high blood pressure and living with a wife and child. The lifestyle history is an item related to a healthy lifestyle, such as smoking 20 cigarettes per day for 10 years. The physical findings are an item related to physical observations, such as a blue face due to pain. The test purpose and suspected diagnosis are items related to the first disease candidate the physician considered when requesting the test. The patient information, the purpose of the examination, and the suspected diagnosis are written in the electronic medical record 201, the examination order 202, and the image interpretation report 204.

[0053] In this example, the processing circuitry 15 acquires, from the test order 202, test purpose information 211 regarding the test purpose, including a description regarding the first disease candidate of patient P, "bruise on AAAA (site name), detailed examination of XXXX (first disease candidate)," as shown in FIG. 8. However, from the viewpoint of making a more accurate diagnosis, it is desirable that the test purpose information 211 be acquired from the electronic medical record 201 based on many items, such as chief complaint, medical history, comorbidities, oral medications, family history, and physical findings, in addition to the items of patient information, test purpose, and suspected diagnosis. In any case, the processing circuitry 15 stores the acquired test purpose information 211 in the memory 11.

[0054] (Step ST2) 9, the processing circuitry 15 acquires interpretation information 212 including a description of the first disease candidate at the time of interpretation from an interpretation report 204 regarding an imaging test performed according to the purpose of the test. Specifically, the processing circuitry 15 acquires the interpretation information 212 based on each item of findings, evaluation and interpretation, and interpretation result included in the interpretation report 204.

[0055] Here, the findings are a detailed description of the condition of the examined area or organ. If an abnormality is found, the findings include its location, size, shape, density, clarity, etc. The evaluation and interpretation are written medical judgments made by the interpreting physician based on the findings of the medical image 203. The evaluation and interpretation may include the meaning of the findings, possible diagnoses, other differential diagnoses, and recommended additional tests. In other words, the evaluation and interpretation are items for analyzing and understanding the results of the interpretation from a medical perspective. The interpretation results are items related to conclusions that summarize the main points of the interpretation report 204 and may include specific action suggestions (e.g., additional diagnostic tests or treatment plans). The interpretation results conclusions are intended to summarize the interpretation report 204 and provide key information in an easy-to-read format for other medical professionals and patients. Note that the evaluation and interpretation and the interpretation results conclusions may contain some overlapping content. In this case, the evaluation and interpretation generally describes a detailed medical analysis, while the conclusion summarizes that information and recommends specific actions. Therefore, the processing circuitry 15 only needs to acquire the interpretation information 212 based on at least the item of findings among the items of findings, evaluation and interpretation, and interpretation results included in the interpretation report 204. In the example of FIG. 9, the processing circuitry 15 acquires the interpretation information 212 based on the items of findings and interpretation results. Also, in the example of FIG. 9, the description of each item of the interpretation information 212 includes a description 301 that matches the first disease candidate and a description 302 related to a second disease candidate that is different from the first disease candidate. The description 301 includes, for example, a character string such as "XXXX (first disease candidate) is not found in AAAA (site name)." Description 302 includes, for example, character strings such as "A low-attenuation area is seen in AA01 (part of AAAA), suggesting YYYY (second disease candidate). ZZZZ (another second disease candidate) is found in AA02 (another part of AAAA). A high-attenuation area is seen in AA03 (another part of AAAA), suggesting WWWW (another second disease candidate)" and "Low-attenuation area in AA01, YYYY in AA02, high-attenuation area in AA03." Note that description 302 regarding the second disease candidate is a description that does not match the first disease candidate.That is, "mismatch" does not mean denying the first disease candidate, but means not targeting the first disease candidate. Also, "match" means targeting the first disease candidate, and includes either affirmation or denial of the first disease candidate.

[0056] (Steps ST3 to ST5) In steps ST3 to ST5, the processing circuitry 15 identifies incidental findings described in the acquired interpretation information 212 regarding a second disease candidate different from the first disease candidate. The processing circuitry 15 also identifies further descriptions regarding the first disease candidate from the interpretation information 212. Each of these steps ST3 to ST5 will be described individually below.

[0057] (Step ST3) As shown in FIG. 10 , the processing circuitry 15 extracts a first disease candidate 213 from the examination purpose information 211. For example, the processing circuitry 15 extracts the first disease candidate 213 assumed at the time of the request by analyzing the examination purpose information 211 acquired in step ST1. Specifically, for example, the processing circuitry 15 identifies the assumed disease, disease site, and symptom by performing morphological analysis, syntactic analysis, semantic analysis, and context analysis on the examination purpose information 211. Furthermore, the processing circuitry 15 extracts the identified disease, disease site, and symptom as the first disease candidate 213.

[0058] (Step ST4) As shown in FIG. 11 , the processing circuitry 15 extracts the image-reading disease candidates 214, which include at least the first disease candidate of the first disease candidate and the second disease candidate, from the image-reading information 212. For example, the processing circuitry 15 extracts the image-reading disease candidates 214 at the time of image reading by analyzing the image-reading information 212 acquired in step ST2. Specifically, for example, the processing circuitry 15 identifies the suspected disease, disease site, and symptom by performing morphological analysis, syntactic analysis, semantic analysis, and context analysis on the image-reading information 212. Furthermore, the processing circuitry 15 extracts the identified disease, disease site, and symptom as the image-reading disease candidates 214.

[0059] (Step ST5) As shown in FIG. 12 , the processing circuitry 15 identifies incidental findings and the like based on the first disease candidate 213 acquired in step ST3 and the read disease candidate 214 acquired in step ST4. Specifically, for example, the processing circuitry 15 identifies a description 301 that matches the first disease candidate 213 at the time of the request from among descriptions included in the read disease candidate 214 at the time of interpretation. Furthermore, the processing circuitry 15 identifies an incidental finding when the read disease candidate 214 includes an incidental finding that is a description 302 related to a second disease candidate different from the first disease candidate. Note that the description 302 related to the second disease candidate is a description that does not match the first disease candidate 213. In other words, the processing circuitry 15 distinguishes between the description 301 that matches the first disease candidate 213 and the incidental finding of the description 302 that does not match the first disease candidate 213. At this time, the processing circuitry 15 may cause the display 13 to display a comment 303 expressing that the incidental finding is inconsistent with the purpose of the examination and that the description regarding the first disease candidate is consistent with the purpose of the examination.

[0060] (Step ST6) The processing circuitry 15 displays the results identified in step ST5 on the display 13. For example, the processing circuitry 15 displays on the display 13 a description 301 that matches the first disease candidate and an incidental finding that is a description 302 that does not match the first disease candidate, so as to distinguish between them.

[0061] The display 13 displays, for example, a first display area including the item "#match" and a description 301 that matches the first disease candidate, and a second display area including the item "#mismatch" and an incidental finding that is a mismatched description 302, side by side. This allows the description 301 and the incidental finding in the description 302 to be displayed separately.

[0062] Furthermore, processing circuitry 15 may highlight the identified results and display them on display 13. In this case, processing circuitry 15, for example, causes description 301 and the incidental finding in description 302 to be displayed in the same color or different colors on display 13. For example, when the background is white, processing circuitry 15 may control display 13 to highlight description 301 with blue characters, highlight the incidental finding in description 302 with red characters, and display the remaining descriptions with black characters. Furthermore, processing circuitry 15 is not limited to highlighting the characters with colors, and may also cause display 13 to highlight the areas surrounding the characters with highlighters.

[0063] In either case, the description 301 that matches the first disease candidate and the incidental finding that is the description 302 that does not match the first disease candidate are displayed on the display 13. Therefore, when checking the radiology report 204, the physician focuses on the incidental finding related to an unexpected disease, thereby preventing the physician from overlooking the incidental finding.

[0064] Thereafter, in response to an operation by a user such as a doctor, the processing circuit 15 notifies the medical department system 6 of the identified result and patient information about the patient P. The medical department system 6 collects and manages the notified content.

[0065] This will be explained using a comparative example that does not use this embodiment. In the comparative example, if patient P, who has brain and heart disease, develops a cerebral infarction, the treating physician D1 may overlook the heart disease because he or she focuses only on the brain. Alternatively, in the comparative example, the treating physician D1 may be unable to contact a cardiologist. In response to this, the processing circuit 15 identifies a possible heart disease that is an incidental finding and notifies the cardiologist medical department system 6. The cardiologist medical department system 6 stores the notified content and transmits it to the cardiologist medical department. This reduces oversights or communication errors between different medical departments.

[0066] Furthermore, the processing circuitry 15 transmits examination reservation information for the patient P to the examination department system 7 relating to the identified results in response to an operation by a user such as a doctor, as necessary. The examination department system 7 receives the examination reservation information and transfers the examination reservation information to the examination device. Furthermore, the examination department system 7 transmits examination implementation information generated by the examination device as a result of the examination being performed to the electronic medical record system included in the HIS2.

[0067] As described above, according to the first embodiment, the processing circuitry 15 acquires examination purpose information 211 regarding the examination purpose, which includes a description of a first disease candidate for patient P. The processing circuitry 15 acquires interpretation information 212, including a description of the first disease candidate, from an interpretation report 204 regarding an imaging examination performed according to the examination purpose. The processing circuitry 15 identifies an incidental finding described in the acquired interpretation information 212 regarding a second disease candidate different from the first disease candidate. The processing circuitry 15 displays the identified result on the display 13. In this way, the processing circuitry 15 identifies the incidental finding from the interpretation information 212 acquired from the interpretation report 204 and displays the identified result, thereby enabling the incidental finding to be identified and drawing attention to the displayed incidental finding. Furthermore, according to the first embodiment, unlike conventional techniques, a third-party checking system is not required, thereby suppressing cost increases.

[0068] Furthermore, according to the first embodiment, the processing circuitry 15 may highlight the identified results and display them on the display 13. In this case, in addition to the effects described above, the highlighted incidental findings can be more easily noticed.

[0069] Furthermore, according to the first embodiment, the processing circuitry 15 further identifies a description regarding the first disease candidate 213. Therefore, in addition to the above-mentioned effects, it is possible to easily confirm whether the assumption made by the treating physician regarding the first disease candidate 213 is true or false.

[0070] Furthermore, according to the first embodiment, the processing circuitry 15 displays the identified results on the display 13 so as to distinguish between the incidental finding and the description related to the first disease candidate. This not only achieves the above-mentioned effects, but also makes it possible to easily check the incidental finding and the description related to the first disease candidate. Furthermore, according to the first embodiment, the processing circuitry 15 may display a comment 303 on the display 13, which expresses that the incidental finding is inconsistent with the purpose of examination and that the description regarding the first disease candidate is consistent with the purpose of examination. In this way, in addition to the effects described above, it is possible to linguistically confirm the relationship between the incidental finding and the description regarding the first disease candidate with respect to the purpose of examination. Furthermore, according to the first embodiment, the processing circuitry 15 highlights the incidental finding and the description regarding the first disease candidate on the display 13. This not only achieves the effects described above, but also draws more attention to the highlighted incidental finding and the highlighted description regarding the first disease candidate.

[0071] Furthermore, according to the first embodiment, the processing circuitry 15 extracts a first disease candidate 213 from the examination purpose information 211. The processing circuitry 15 extracts an interpretation disease candidate 214, which includes at least the first disease candidate 213 among the first disease candidate 213 and the second disease candidate, from the interpretation information 212. The processing circuitry 15 identifies incidental findings based on the extracted first disease candidate 213 and interpretation disease candidate 214. This makes it possible to easily and reliably achieve the above-mentioned effects step by step.

[0072] Furthermore, according to the first embodiment, the processing circuitry 15 extracts the first disease candidate 213 by analyzing the examination purpose information 211, and extracts the interpretation disease candidate 214 by analyzing the interpretation information 212. Therefore, in addition to the above-mentioned effects, it can be realized by using natural language processing techniques such as morphological analysis, syntactic analysis, semantic analysis, and context analysis.

[0073] Furthermore, according to the first embodiment, the processing circuitry 15 acquires the examination purpose information 211 based on at least one of the electronic medical record 201 of the patient P, the examination order 202 for the imaging test, and the image interpretation report 204. Therefore, in addition to the above-mentioned effects, any information among the electronic medical record 201, the examination order 202, and the image interpretation report 204 can be used to acquire the examination purpose information.

[0074] Furthermore, according to the first embodiment, the processing circuit 15 acquires the examination purpose information 211 based on at least the items of patient information, examination purpose, and suspected diagnosis among the items of patient information, chief complaint, medical history, comorbidity, oral medication, family history, physical findings, examination purpose, and suspected diagnosis regarding the patient P. Therefore, in addition to the above-mentioned effects, the examination purpose information 211 can be acquired based on the minimum necessary information.

[0075] Furthermore, according to the first embodiment, the processing circuitry 15 acquires the interpretation information 212 based on at least the item of findings among the items of findings, evaluation and interpretation, and interpretation results included in the interpretation report 204. Therefore, in addition to the above-mentioned effects, the interpretation information 212 can be acquired based on the minimum necessary information.

[0076] Furthermore, according to the first embodiment, the processing circuitry 15 notifies the medical department system 6 of the identified result and patient information related to the patient. In addition to the above-mentioned effects, by notifying the medical department of the second disease candidate that is an incidental finding, for example, another medical doctor can proceed with the consideration of treatment for the second disease candidate.

[0077] Furthermore, according to the first embodiment, the processing circuitry 15 transmits examination reservation information for the patient regarding the identified results to the testing department system 7. This not only achieves the aforementioned effects, but also allows a reservation for another examination to diagnose the second disease candidate that is the incidental finding.

[0078] (Variation) In the first embodiment, the incidental findings of the identified results are displayed on the display 13. However, this is not limiting. For example, the display control function 15d of the processing circuitry 15 may control the display 13 to further display the importance of a second disease candidate described in the incidental findings of the identified results based on a predetermined relationship between the disease candidate and the importance. The importance may also be displayed for the first disease candidate in addition to the second disease candidate. For example, the relationship between the disease candidate and the importance may be represented by a table previously stored in the memory 11, or a description relating the disease candidate to the importance may be included in the medical information processing program. The display control function 15d may also display the importance only if the identified results 215 include a description indicating that a disease candidate is present. In other words, if a disease candidate is not present in the identified results 215, the importance of the non-recognized disease candidate need not be displayed. According to this modification, in addition to the effects of the first embodiment, the importance of the second disease candidate described in the incidental findings can be presented to the physician.

[0079] <Second embodiment> Next, a medical image processing apparatus according to a second embodiment will be described with reference to Figures 13 and 14. In the following description, elements that are substantially the same as those in the above-mentioned drawings will be assigned the same reference numerals and detailed description thereof will be omitted, and different elements will be mainly described. This also applies to each of the following embodiments.

[0080] The second embodiment is a modified example of the first embodiment, and is a configuration in which generative artificial intelligence (AI) related to a large language model (LLM) is used as a configuration for identifying incidental findings from the interpretation information 212.

[0081] 13, the processing circuit 15 includes a generation AI function 15g corresponding to the aforementioned specific function 15c and display control function 15d. Note that the generation AI function 15g can be appropriately used as long as it includes at least a large-scale language model, such as ChatGPT (registered trademark).

[0082] Here, when the generation AI function 15g receives an instruction to identify incidental findings and descriptions related to the first disease candidate from the examination purpose information 211 and the interpretation information 212, as well as the examination purpose information 211 and the interpretation information 212, the generation AI function 15g outputs the identified result 215 and displays it on the display 13. Note that the examination purpose information 211, the interpretation information 212, and the identified result 215 are written with character strings similar to those in the first embodiment. For example, as shown in FIG. 14, the generation AI function 15g inputs an input sentence 220 including an instruction 221, the examination purpose information 211, and the interpretation information 212 to the trained model Md1, and displays the identified result 215 output from the trained model Md1 on the display 13. Note that the input sentence 220 may also be called a prompt.

[0083] The trained model Md1 is, for example, a pre-trained large-scale language model. When an input sentence 220 is input, the trained model Md1 generates an output sentence corresponding to the input sentence 220. The output sentence can be converted into a format other than a sentence, such as a table or graph, by specifying an output format using instructions 221. In FIG. 14 , the instructions 221 are written in a format including an explanatory statement explaining background information such as conditions and supplementary information, and an instruction for obtaining a specified result. The explanatory statement here is "You are a medical doctor. The radiology report contains #examination purpose, #findings, and #interpretation results." The instruction is "Please output the content that matches #examination purpose and the content that does not match." However, the instructions 221 are not limited to this and can be written in any format. The input sentence 220 is written in a format including the instructions 221, input data (examination purpose information 211, radiology interpretation information 212), and output format (#match, #mismatch). Similarly, the input sentence 220 can be written in any format. Furthermore, in the input sentence 220, instead of the examination purpose information 211, an electronic medical record 201, an examination order 202, or an interpretation report 204 including the contents of the examination purpose information 211 may be used. In this case, the first acquisition function 15a that acquires the examination purpose information 211 can be omitted. Furthermore, in the input sentence 220, instead of the interpretation information 212, an interpretation report 204 including the contents of the interpretation information 212 may be used. In this case, the second acquisition function 15b that acquires the interpretation information 212 can be omitted. Furthermore, the trained model Md1 is stored in the memory 11. However, this is not limited to this, and the trained model Md1 itself may be preset in the processing circuit 15 as a generation AI function 15g, such as an ASIC or FPGA. The generation AI function 15g and the trained model Md1 are examples of a generation AI.

[0084] The other configurations are the same as those in the first embodiment.

[0085] According to the above configuration, as described above, steps ST1 and ST2 are executed to acquire the examination purpose information 211 and the interpretation information 212, and then steps ST3 to ST6 are executed all at once.

[0086] That is, after step ST2, when an input sentence 220 including an instruction 221, examination purpose information 211, and interpretation information 212 is input by the physician, the processing circuitry 15 outputs the identified result 215 and displays it on the display 13. As described above, the identified result 215 includes a description that matches the first disease candidate and an incidental finding that does not match the first disease candidate. Therefore, when the physician checks the interpretation report 204, he or she will pay attention to the incidental finding related to an unexpected disease, thereby preventing the incidental finding from being overlooked.

[0087] As described above, according to the second embodiment, the processing circuitry 15 includes the generation AI function 15g, which is the aforementioned identification function 15c and display control function 15d. When an instruction for identifying an incidental finding and a description related to the first disease candidate from the examination purpose information 211 and the interpretation information 212, as well as the examination purpose information 211 and the interpretation information 212, is input to the processing circuitry 15, the processing circuitry 15 outputs the identification result 215 and displays it on the display 13. Therefore, in addition to the effects described above, the generation AI can display the incidental finding and a description related to the first disease candidate.

[0088] (Variation) In the second embodiment, the medical information processing device 1 is provided with the generation AI function 15g, but this is not limited to this. For example, as shown in FIG. 15, a generation AI system 9 that realizes the generation AI function 15g may be provided outside the medical information processing device 1. The generation AI system 9 may be realized as a server device connected to an in-hospital network, or as a cloud server device connected to an external network such as the Internet. According to this modification, in addition to the effects described above, the load on the medical information processing device 1 when executing the generation AI function 15g can be reduced. This modification can be similarly applied to each of the following embodiments.

[0089] <Third embodiment> The third embodiment is a modification of the second embodiment, in which the importance of the identified result 215 is further output and displayed on the display 13.

[0090] Before outputting the importance level, it is necessary to obtain the deadline for re-examination or re-diagnosis for each identified result 215 (for each item of match or mismatch) from the #findings and #image interpretation results. A shorter deadline indicates a higher importance level. In addition, there are three cases (i) to (iii) for describing the deadline for #findings and #image interpretation results in the image interpretation information 212. (i) The deadline is stated in quantitative terms (immediately, 7 days, 14 days, 60 days, 180 days, indefinite). (ii) The deadline is stated qualitatively (short-term, medium-term, long-term). (iii) If no deadline is stated.

[0091] Therefore, in the case of (i) above, the processing circuit 15 uses, for example, the quantitative number of days as is on the horizontal axis (importance) of the graph, and uses match / mismatch on the vertical axis of the graph, and displays the identified results 215 in a graph.

[0092] Furthermore, in the case of (II) above, the processing circuitry 15 uses qualitative short-term, medium-term, and long-term on the horizontal axis (importance) of the graph and matches and mismatches on the vertical axis of the graph to graphically display the identified results 215. Alternatively, the processing circuitry 15 may define a conversion table that associates qualitative deadlines with quantitative numbers of days, such as short-term = 14-28 days, medium-term = 60-180 days, and long-term = 180-360 days, and display the graph using the number of days converted from the qualitative deadlines on the horizontal axis of the graph.

[0093] In the case of (iii) above, the processing circuitry displays the identified results 215 in a graph using match / mismatch on the vertical axis of the graph without the horizontal axis (importance) of the graph.

[0094] Specifically, as shown in FIGS. 16 and 17 , the processing circuitry 15 further includes an importance output function 15h that outputs an importance 216 for the identified result 215 based on the interpretation information 212 and displays it on the display 13. For example, the importance output function 15h controls the display 13 to further display an importance 216 for a second disease candidate described in the incidental finding of the identified result 215 based on a predetermined relationship between the disease candidate and the importance. Note that while the importance is displayed on the display 13 in sentence format in FIG. 17 , this is not limiting. For example, the processing circuitry 15 may change the output format of the importance 216 to a graph format as shown in any of FIGS. 18 to 20 . For example, the graph may have a vertical axis representing match and mismatch and a horizontal axis representing importance, as shown in FIGS. 18 and 19 . Note that FIG. 18 corresponds to the above case (i), and FIG. 19 corresponds to the above case (ii). Also, FIG. 20 corresponds to the above case (iii). The importance output function 15h is an example of an importance output unit.

[0095] Accordingly, the image interpretation information 212, in contrast to the above-described description, includes a description of importance indicating that a reexamination is necessary after a predetermined number of days for each disease candidate. The image interpretation information 212 may also include a description of importance indicating that a reexamination or re-examination is unnecessary for each disease candidate. The description of importance included in the image interpretation information 212 is previously written in the image interpretation report 204 by the image interpretation physician and acquired as part of the image interpretation information 212. In FIG. 17 , the image interpretation information 212 includes the following four descriptions of importance. The first description is "No reexamination or re-examination is necessary" for XXXX (first disease candidate). The second description is "A reexamination is necessary in 30-60 days" for YYYY (second disease candidate). The third description is "A reexamination is necessary in 14-28 days or 90-180 days" for ZZZZ (second disease candidate). The fourth is the statement that "re-examination is required in 14-28 days, 60-180 days, and 180-360 days" for the high absorption area seen in AA03 (name of the area of ​​incidental findings).

[0096] The other configurations are the same as those of the second embodiment.

[0097] According to the above configuration, as described above, steps ST1 and ST2 are executed to acquire the examination purpose information 211 and the interpretation information 212, and then steps ST3 to ST6 are executed all at once.

[0098] That is, after step ST2, when the input statement 220 including the instruction 221, the examination purpose information 211, and the interpretation information 212 is input by the operation of the treating physician, the processing circuitry 15 outputs the identified result 215 and the importance 216 to display on the display 13. As described above, the identified result 215 includes a description that matches the first disease candidate and an incidental finding that is a description that does not match the first disease candidate. The importance 216 includes, for example, a description of the predetermined number of days "unlimited" for the description that matches the first disease candidate and a description of the predetermined number of days "30-60 days," "14-28 days, 90-180 days," or "14-28 days, 60-180 days, 180-360 days" for the incidental finding that is a description that does not match the first disease candidate. Therefore, when checking the image interpretation report 204, the doctor pays attention to incidental findings related to unexpected diseases and their importance, which further prevents incidental findings from being overlooked.

[0099] As described above, according to the third embodiment, the processing circuitry 15 further outputs the importance 216 for the identified result 215 based on the interpretation information 212 using the importance output function 15h, and displays it on the display 13. Therefore, in addition to the above-mentioned effects, it is possible to present to the physician the importance of the second disease candidate described in the incidental finding.

[0100] (Variation) In the third embodiment, in the graph format of the importance, the vertical axis represents agreement and disagreement, and the horizontal axis represents importance, but this is not limiting. For example, in Figures 18 to 20, the vertical axis of the graph may be reversed upside down. Similarly, the horizontal axis of the graph may be reversed left to right. Furthermore, the vertical and horizontal axes of the graph may be interchanged. Alternatively, the importance may be displayed only in the case of disagreement. In any case, according to such a modification, the importance of disease candidates can be presented in a visually easy-to-understand graph format, similar to the effect of the third embodiment.

[0101] <Fourth embodiment> The fourth embodiment is a modified example of the second embodiment, and is intended to prevent important examination findings from being overlooked. Specifically, for example, assume a workflow in which a gastroenterologist prepares an endoscopic report (radiography report) in response to an endoscopic examination order from a medical doctor, and the medical doctor reviews the endoscopic report. Here, assume that before preparing the endoscopic report, the gastroenterologist issues an order for a pathology test on a polyp discovered during the endoscopic examination to a pathologist, and the pathologist prepares a pathology report including an important finding indicating that the polyp's pathology test results are malignant. In this case, if the gastroenterologist prepares the endoscopic report while overlooking the pathology report, the endoscopic report will not include the contents of the pathology test order or the important finding indicating that the polyp's pathology test results are malignant. As a result, the medical doctor will not be able to grasp the important finding indicating that the polyp's pathology test results are malignant, and will not perform any treatment on the polyp. Since the medical doctor has not issued the pathology test order, he or she will not be aware that the pathology test results are available. In addition, compared to cases where a physician overlooks pathology test results, there are more cases where a physician does not realize that a pathology test result exists because the physician did not issue a pathology test order and overlooks important findings in the pathology test results. On the other hand, if a malignant polyp is left untreated, the polyp may develop into cancer, so it is necessary to inform the physician in some way that an important finding has been overlooked.

[0102] Accordingly, in addition to the above-mentioned functions, the generation AI function 15g of the processing circuit 15 shown in Figure 13 receives an instruction to output findings expected from the examination purpose information 211 or the interpretation information 212 and whether or not a treatment for the expected findings is described in the electronic medical record 201, and when the examination purpose information 211 or the interpretation information 212 corresponding to the instruction and the electronic medical record 201 are input, the generation AI function 15g outputs the expected findings and whether or not the treatment is described in the electronic medical record 201, and displays them on the display 13. For example, as shown in Figure 21, the generation AI function 15g inputs an input sentence 220 including an instruction 221, the examination purpose information 211, and a treatment description 2011 in the electronic medical record 201 to the trained model Md1, and displays an output sentence 2151 output from the trained model Md1 on the display 13. As described above, the trained model Md1 is, for example, a pre-trained large-scale language model (LLM). When an input sentence 220 is input, the trained model Md1 generates an output sentence 2151 corresponding to the input sentence 220. In FIG. 21, the instruction 221 is written in a format including an explanatory sentence and an instruction sentence, as described above. The explanatory sentence here is "You are a treating physician. The test order or radiology report describes # the purpose of the test. The electronic medical record describes # the treatment for the findings." The instruction sentence is "Please output # the findings expected from the purpose of the test and whether the treatment for the expected findings is described in the electronic medical record." The description of "# the purpose of the test" can be obtained from either the test purpose information 211 or the radiology information 212. Furthermore, the input statement 220 is written in a format including instructions 221, input data (examination purpose information 211, treatment description 2011 in the electronic medical record 201), and output format (#expected findings, #whether the treatment is described in the electronic medical record). Of the output formats, "#whether the treatment is described in the electronic medical record" may be changed to the aforementioned "#match" or "#mismatch," since a match indicates a match between the treatment and the electronic medical record, and a mismatch indicates a mismatch. Alternatively, "#whether the treatment is described in the electronic medical record" may be changed to any output format corresponding to a match or mismatch between the treatment and the electronic medical record, such as "#expected findings that match the electronic medical record" or "#expected findings not described in the electronic medical record."The output statement 2151 is written in the output format based on the instruction 221. The generation AI function 15g is an example of a first output unit. The other configurations are the same as those in the second embodiment.

[0103] Next, the operation of the medical information processing device 1 configured as above will be described using the schematic diagrams of Figures 22 to 26. In the following explanation, when attempting to prevent overlooking of important findings related to an examination, an example will be given in which the examination is an endoscopic examination and the important findings include findings indicating that the pathological test results of a polyp discovered in the endoscopic examination indicate malignancy.

[0104] First, an endoscopic examination is performed following the flow shown from left to right in Figure 22. That is, a medical doctor D1 examines a patient P and fills out an electronic medical record 201 for each item. As shown in Figure 23, the electronic medical record 201 includes information such as patient information, chief complaint, medical history, comorbidities, oral medications, family history, physical findings, findings, treatment, examination ID, examination date, examination type, area, purpose of examination, suspected diagnosis, and medical doctor.

[0105] Next, the doctor D1 inputs information for each item using the ordering system of HIS2 to issue an examination order 202a and requests an endoscopic examination, which is one type of imaging examination, from a gastroenterologist. The items in the examination order 202a are the same as those in Figure 5, but the contents of each item are related to the endoscopic examination. Note that the examination order 202a for the endoscopic examination does not include any description of the polyp, because it was issued before the polyp was discovered during the endoscopic examination.

[0106] Based on the examination order 202a and the electronic medical record 201, the gastroenterologist D3 performs an endoscopic examination 4a on the patient P using an endoscope (not shown) and obtains a medical image 203a of the patient. Furthermore, the gastroenterologist D3 discovers a polyp during the endoscopic examination, so he inputs information for each item using the ordering system of the HIS2 to issue an examination order 202b and requests a pathologist D4 to perform a pathological examination of the polyp. The items of the examination order 202b include, for example, patient information, examination ID, examination date, examination type, area, examination purpose, suspected diagnosis, gastroenterologist, etc., as shown in FIG. 24.

[0107] Based on the test order 202b and the electronic medical record 201, the pathologist D4 performs a pathological test 4b on the polyp of patient P using a pathological testing device (not shown). The pathologist D4 also creates a pathological report 204b while displaying the test order 202b, the electronic medical record 201, and medical images of the polyp on a report creation device. Items in the pathological report 204b include, for example, patient information, test ID, test date, test type, area, test purpose, suspected diagnosis, findings, evaluation, interpretation, pathological test results, pathologist, and medical images, as shown in FIG. 25 . That is, when creating the pathological report 204b, the pathologist writes information in the items of findings, evaluation, interpretation, and pathological test results. Here, the findings in the pathological report 204b include a statement that the pathological test results of the polyp indicate malignancy.

[0108] Furthermore, gastroenterologist D3 interprets medical images 203a while displaying examination order 202a, electronic medical record 201, and medical images 203a on the report creation device, and creates an endoscopic report 204a as an interpretation report. Items in the endoscopic report 204a include, for example, patient information, examination ID, examination date, examination type, area, examination purpose, suspected diagnosis, findings, evaluation, interpretation, endoscopic examination results, gastroenterologist, and medical images, as shown in FIG. 26 . Furthermore, gastroenterologist D3 creates the endoscopic report 204a based on the results of endoscopic examination 4a while overlooking examination order 202b and pathology report 204b related to the pathology examination. Therefore, the endoscopic report 204a does not include a finding that the pathology examination results of the polyp indicate malignancy.

[0109] The treating physician D1 displays and checks the endoscopic report 204a on the medical information processing device 1. At this time, the treating physician D1 checks the endoscopic report 204a, which does not include any indication that the polyp is malignant, so he does not know that the polyp is malignant and does not perform any treatment for the polyp. Therefore, although the electronic medical record 201 has an item "treatment," the treatment for the polyp findings is not described.

[0110] Later, when examining the patient, the doctor D1 operates the medical information processing device 1.

[0111] For example, when an input statement 220 including an instruction 221, examination purpose information 211, and a treatment description 2011 in the electronic medical record 201 is input by the operation of the treating physician D1, as shown in FIG. 21 , the processing circuit 15 of the medical information processing device 1 outputs an output statement 2151 based on the instruction 221 and displays it on the display 13. That is, the output statement 2151 includes a description for "#expected findings" and a description for "#whether the treatment is described in the electronic medical record." Specifically, for example, the description for "#expected findings" includes the fact that the pathological test results for the polyp indicate a malignant finding. The description for "#whether the treatment is described in the electronic medical record" includes the fact that no treatment for the expected findings is described.

[0112] By displaying output statement 2151, the treating physician will understand that there is no treatment for the findings expected from the purpose of the endoscopic examination when checking endoscopy report 204a based on output statement 2151. Thereafter, the treating physician can prevent overlooking important findings related to the examination by checking important findings in pathology report 204b that correspond to the expected findings.

[0113] As described above, according to the fourth embodiment, the processing circuitry 15 includes a generation AI function 15g. When the processing circuitry 15 receives an instruction 221 for outputting a finding expected from the examination purpose information 211 or the interpretation information 212 and whether or not a treatment for the expected finding is described in the electronic medical record 201, and the examination purpose information 211 or the interpretation information 212 corresponding to the instruction 221 and the electronic medical record 201, the processing circuitry 15 outputs the expected finding and whether or not the treatment is described in the electronic medical record 201, and displays them on the display 13. Therefore, by confirming important findings for the expected findings based on the content output in response to the instruction 221, it is possible to prevent important findings related to the examination from being overlooked.

[0114] (Variation) In the fourth embodiment, findings expected from the # examination purpose described in either the examination order or the radiology report are output, but this is not limiting. For example, findings expected from the # examination purpose described in the examination order may be output, or findings expected from the # findings described in the radiology report or the # interpretation results may be output. In other words, any modification may be made as appropriate as long as the form outputs findings expected from the examination order or the radiology report. Even with such a modification, the same effect as in the fourth embodiment can be obtained. Furthermore, this modification can be similarly implemented in each of the following embodiments.

[0115] Furthermore, in the fourth embodiment, the output statement 2151 is displayed to let the physician understand that no treatment for the expected finding is described in the electronic medical record, but this is not limiting. For example, if there is no treatment for the expected finding, a warning may be output in parallel with the output of the output statement 2151. The warning may include a message indicating that there is no treatment for the expected finding, or may be display data that highlights the statement in the output statement 2151 that there is no treatment for the expected finding. According to this modification, in addition to the effects of the fourth embodiment, it is possible to prevent the physician from overlooking the fact that there is no treatment for the expected finding from the output statement 2151.

[0116] In the fourth embodiment, after the electronic medical record 201 is saved, an input sentence 220 including instructions to the generation AI function 15g is input during a patient examination, and an output sentence 2151 to the treating physician is output, but this is not limited to this. For example, the instructions to the generation AI function 15g and the output to the treating physician may be output from the characters entered up to the point when the procedure is being entered into the electronic medical record, or may be output when the data entered into the electronic medical record is saved.

[0117] <Fifth embodiment> The fifth embodiment is a modification of the second embodiment, and is a form in which candidates for A and P are output from SO in the SOAP described in the electronic medical record. Here, "S" is the initial letter of subjective data, and in the electronic medical record 201 shown in FIG. 23, for example, it corresponds to "chief complaint" indicating a statement made by the patient. "O" is the initial letter of objective data, and in the electronic medical record 201, for example, it corresponds to "physical findings" indicating the results of observation by a doctor. "A" is the initial letter of assessment, and in the electronic medical record 201, for example, it corresponds to "findings" indicating the results obtained by interpretation and analysis of S and O. "P" is the initial letter of plan, and in the electronic medical record 201, for example, it corresponds to "treatment" indicating a treatment plan for S, O, and A. That is, the fifth embodiment is a form in which findings and treatment candidates are output from, for example, the chief complaint and physical findings.

[0118] Specifically, for example, in the examination room, the doctor inputs the chief complaint and physical findings (SO) from a conversation with the patient into the electronic medical record 201. Alternatively, the doctor may key in the content of the conversation with the patient into an electronic file other than the electronic medical record. In either case, in the examination room, the doctor needs to explain to the patient the findings and treatment (AP) based on the conversation with the patient.

[0119] Accordingly, as shown in FIG. 27, the processing circuit 15 further includes a second generation AI function 15i that is different from the above-mentioned generation AI function 15g. The second generation AI function 15i may be called by any other name. Alternatively, the above-mentioned generation AI function 15g may be called the first generation AI function 15g. In any case, the second generation AI function 15i is an example of a generation AI. Furthermore, the second generation AI function 15i is an example of a second output unit.

[0120] When the second generation AI function 15i receives an instruction to output expected findings from the examination purpose information 211 or the interpretation information 212 and candidate treatments for the expected findings identified from the patient's chief complaint and physical findings, along with the examination purpose information 211 or the interpretation information 212 corresponding to the instruction and the chief complaint and physical findings, the second generation AI function 15i outputs the expected findings and candidate treatments and displays them on the display 13. For example, as shown in FIG. 22 , the second generation AI function 15i inputs an input sentence 220 including the instruction 222, the examination purpose information 211, and a description 2012 of the chief complaint and physical findings in the electronic medical record 201 into the trained model Md2, and displays an output sentence 2152 output from the trained model Md2 on the display 13. The trained model Md2 is, for example, a pre-trained large-scale language model (LLM) as described above, and when the input sentence 220 is input, it generates an output sentence 2152 corresponding to the input sentence 220. In FIG. 22, the instruction 222 is written in a format including a description and an instruction, as described above. The description here is "You are a treating physician. The test order or radiology report describes the # purpose of the test. The electronic medical record describes the # chief complaint and # physical findings." The instruction is "Please output the findings expected from the # purpose of the test and the treatment options identified for the expected findings based on the # chief complaint and # physical findings." The description of "# purpose of the test" can be obtained from either the test purpose information 211 or the radiology information 212. The description of "# chief complaint and # physical findings" may be obtained not only from the electronic medical record 201 but also from the content of a conversation with the patient. The input statement 220 is written in a format including the instruction 222, input data (test purpose information 211, description of the chief complaint and physical findings 2012), and output format (# expected findings, # treatment options). The output format is not limited to "# Possible findings" and "# Treatment candidates".The output format may include any element such as the patient's preference or standard treatment between the expected findings and the candidate treatment, such as "#Expected findings from the results of the test order or radiology report," "#Patient's preference based on the chief complaint and physical examination findings (SO) in the electronic medical record," "#Treatment recommended by the doctor based on the conversation in the examination room," "#Patient's preference based on the conversation in the examination room," "#Standard treatment for the expected findings," and "#Next candidate treatment based on the standard treatment and patient's preference." The output statement 2152 is written in accordance with the output format, based on the instructions 222.

[0121] The other configurations are the same as those of the second embodiment.

[0122] According to the above configuration, a doctor examines a patient and fills out the electronic medical record 201 for each item. At this stage, the electronic medical record 201 contains information including the patient's information, chief complaint, medical history, complications, oral medications, family history, physical findings, and doctor, as well as other information including the chief complaint and physical findings (SO), but does not contain information including findings and treatments (AP). During this examination, the doctor operates the medical information processing device 1.

[0123] When an input statement 220 including an instruction 222, examination purpose information 211, and a description 2012 of the patient's chief complaint and physical findings is input by the physician, the processing circuit 15 of the medical information processing device 1 outputs an output statement 2152 based on the instruction 222 and displays it on the display 13, as shown in Fig. 28. That is, the output statement 2152 includes a description for "#expected findings" and a description for "#treatment candidates." Note that the description for "#treatment candidates" is not limited to a single candidate, and may include multiple candidates, such as three.

[0124] Based on the displayed output statement 2152, the physician understands the treatment options for the findings expected from the purpose of the examination. The physician then explains the findings and the treatment option selected from the treatment options to the patient. This configuration, which displays the patient's chief complaint and physical findings along with the treatment options, can assist the physician in explaining the procedure to the patient. Furthermore, the processing circuit 15 allows the physician to select one of the treatment options included in the output statement 2152 and input the selected option as the treatment into the electronic medical record 201, thereby reducing the effort required to input the treatment option.

[0125] As described above, according to the fifth embodiment, the processing circuitry 15 includes a generation AI function 15g. When the processing circuitry 15 receives instructions 222 for outputting expected findings based on the examination purpose information 211 or the interpretation information 212 and candidate treatments for the expected findings identified based on the patient's chief complaint and physical findings, and the examination purpose information 211 or the interpretation information 212 corresponding to the instructions 222 and the chief complaint and physical findings, the processing circuitry 15 outputs the expected findings and candidate treatments and displays them on the display 13. Therefore, by confirming important findings relative to the expected findings based on the content displayed in response to the instructions 222, it is possible to prevent important findings related to the examination from being overlooked. Furthermore, by outputting candidate treatments desired by the patient based on the patient's chief complaint and physical findings, the processing circuitry 15 can assist the physician in explaining the procedure to the patient. Furthermore, by selecting one of the candidate treatments and entering the selected candidate treatment into the electronic medical record 201 as the treatment, the effort required for entering the treatment can be reduced.

[0126] (Variation) In the fifth embodiment, the input sentence 220 including the #chief complaint and #physical findings described in the electronic medical record 201 is input to the trained model Md2, but this is not limiting. For example, the input sentence 220 created by the treating physician by inputting the #chief complaint and #physical findings included in the content of a conversation with a patient may be input to the trained model Md2. In addition, in accordance with this, part of the instruction 222 may be changed to a sentence that does not include the electronic medical record, such as "The following sentence describes the #chief complaint and #physical findings based on the conversation with the patient." This allows the same effect as the fifth embodiment to be achieved even when the patient's chief complaint and physical findings are not in the electronic medical record 201 but are in the treating physician's head.

[0127] In the fifth embodiment, the second generation AI function 15i outputs #expected findings and #treatment candidates based on the chief complaint and physical findings in the electronic medical record 201, but this is not limited to this. For example, the second generation AI function 15i may output #expected findings based on the chief complaint and physical findings in the electronic medical record 201, output #patient preferences based on the chief complaint and physical findings in the electronic medical record 201, output #standard treatments based on the output #expected findings, and output #treatment candidates based on the output #standard treatments and #patient preferences. In this case, the physician simply changes part of the instructions 222 in accordance with the change in output format. This, in addition to the effects of the fifth embodiment, can also assist in explaining standard treatments and patient preferences to the patient.

[0128] In the fifth embodiment, one of the treatment candidates is copied and input into the electronic medical record 201. However, this is not limiting. For example, if there is no good candidate, the treating physician may manually input the treatment he or she envisions into the electronic medical record 201.

[0129] According to at least one of the embodiments described above, incidental findings can be identified and attention can be drawn to the incidental findings while suppressing increases in costs.

[0130] The term "processor" used in the above description refers to a circuit such as a CPU, a GPU, an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)). If the processor is a CPU, for example, the processor realizes its function by reading and executing a program stored in a memory. On the other hand, if the processor is an ASIC, for example, instead of storing a program in a memory, the function is directly incorporated into the circuit of the processor as a logic circuit. Note that each processor in this embodiment is not limited to being configured as a single circuit for each processor, but may be configured as a single processor by combining multiple independent circuits to realize its function. Furthermore, multiple components in FIG. 1, FIG. 2, FIG. 13, FIG. 16, or FIG. 27 may be integrated into a single processor to realize its function.

[0131] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included within the scope and spirit of the invention, as well as within the scope of the invention described in the claims and their equivalents. [Explanation of symbols]

[0132] 1 Medical information processing device 2 HIS 3 RIS 4 Medical imaging diagnostic equipment 5. PACS 6 Medical department system 7 Inspection Department System 8 DWH 9. Generative AI Systems 11,82 memory 12 Input Interface 13. Display 14, 83 Communication Interface 15, 81 Processing circuit 15a First Acquisition Function 15b Second acquisition function 15c Specific functions 15d Display control function 15e Notification function 15th floor reservation function 15g generation AI function 15h importance output function 15i 2nd generation AI function 201 Electronic Medical Records 202, 202a, 202b Test Order 203, 203a Medical Imaging 204 Image Reading Report 204a Endoscopy Report 204b Pathology Report 211 Inspection Purpose Information 212 Image interpretation information 213 First disease candidate 214 Diagnostic Disease Candidates 215 Identified Results 2151, 2152 Output statements 216 Importance 220 Input sentence 221 Instructions 301, 302 Description 303 Comments D1 Doctor D2 Radiography Doctor D3 Gastroenterologist D4 Pathologist Md1 pre-trained model P patient

Claims

1. a first acquisition unit that acquires examination purpose information regarding an examination purpose including a description of a first disease candidate of the patient; a second acquisition unit that acquires interpretation information including a description regarding the first disease candidate from an interpretation report regarding an imaging examination performed according to the examination purpose; an identification unit that identifies an incidental finding described regarding a second disease candidate different from the first disease candidate from the image interpretation information; a display control unit that displays the specified result on a display; A medical information processing device comprising:

2. the display control unit causes the specified result to be displayed on the display in an emphasized manner. The medical information processing device according to claim 1 .

3. The identification unit further identifies a description regarding the first disease candidate from the interpretation information. The medical information processing device according to claim 1 .

4. the display control unit causes the specified result to be displayed on the display so as to distinguish between the incidental finding and a description related to the first disease candidate. The medical information processing device according to claim 3 .

5. the display control unit causes the display to display that the incidental finding is inconsistent with the examination purpose and that the description regarding the first disease candidate is consistent with the examination purpose. The medical information processing device according to claim 4 .

6. the display control unit causes the incidental finding and a description regarding the first disease candidate to be highlighted on the display; The medical information processing device according to claim 4 .

7. The identification unit extracting the first disease candidate from the examination purpose information; extracting, from the image interpretation information, image interpretation disease candidates including at least the first disease candidate out of the first disease candidate and the second disease candidate; Identifying the incidental finding based on the extracted first disease candidate and the image-read disease candidate. The medical information processing device according to claim 1 .

8. The identification unit extracting the first disease candidate by analyzing the test purpose information; extracting the image-reading disease candidate by analyzing the image-reading information; The medical information processing device according to claim 7 .

9. The identification unit and the display control unit are generation AIs, When an instruction for identifying the incidental finding and the description related to the first disease candidate from the examination purpose information and the image interpretation information, the generation AI receives the examination purpose information and the image interpretation information, and outputs the identified results and displays them on the display. The medical information processing device according to claim 3 .

10. an importance output unit that further outputs the importance of the specified result based on the image interpretation information and displays it on the display; The medical information processing apparatus according to claim 9 , further comprising:

11. the importance output unit controls the display to further display the importance of a second disease candidate described in the incidental finding of the identified result based on a predetermined relationship between the disease candidate and the importance. The medical information processing device according to claim 10.

12. the first acquisition unit acquires the examination purpose information based on at least one of an electronic medical record of the patient, an examination order for the imaging examination, and the image interpretation report; The medical information processing device according to claim 1 .

13. The first acquisition unit acquires the test purpose information based on at least each item of the patient information, the test purpose, and the suspected diagnosis among each item of the patient information, the chief complaint, the medical history, the comorbidity, the oral medication, the family history, the physical findings, the test purpose, and the suspected diagnosis, The medical information processing device according to claim 12 .

14. the second acquisition unit acquires the interpretation information based on at least the item of findings among the items of findings, evaluation and interpretation, and interpretation results included in the interpretation report; The medical information processing device according to claim 1 .

15. a notification unit that notifies a medical department of the specified result of the diagnosis and treatment and patient information related to the patient; The medical information processing apparatus according to claim 1 , further comprising:

16. a reservation unit that transmits examination reservation information of the patient to a testing department related to the identified results; The medical information processing apparatus according to claim 1 , further comprising:

17. a first output unit that, when an instruction to output a finding expected from the examination purpose information or the image interpretation information and whether or not a treatment for the expected finding is described in the electronic medical record, and the examination purpose information or the image interpretation information corresponding to the instruction and the electronic medical record are input, outputs the expected finding and whether or not the treatment is described in the electronic medical record and displays them on the display; The medical information processing apparatus according to claim 12, further comprising:

18. an instruction to output findings expected from the examination purpose information or the image interpretation information and treatment candidates identified from the patient's chief complaint and physical findings for the expected findings; and a second output unit that, when the examination purpose information or the image interpretation information corresponding to the instruction and the chief complaint and the physical findings are input, outputs the expected findings and treatment candidates and displays them on the display. The medical information processing apparatus according to claim 12, further comprising:

19. Acquiring, by a first acquisition unit, examination purpose information regarding an examination purpose including a description regarding a first disease candidate of a patient, and an interpretation report regarding an imaging examination performed according to the examination purpose; acquiring, by a second acquisition unit, interpretation information including a description regarding the first disease candidate from the interpretation report; Identifying, by an identification unit, an incidental finding described in the interpretation information regarding a second disease candidate different from the first disease candidate; causing a display control unit to display the specified result on a display; A medical information processing method comprising:

20. a function of acquiring examination purpose information regarding the examination purpose, including a description of the patient's first disease candidate, and an interpretation report regarding the imaging examination performed according to the examination purpose; a function of acquiring interpretation information including a description regarding the first disease candidate from the interpretation report; a function of identifying an incidental finding described in the interpretation information regarding a second disease candidate different from the first disease candidate; a function of displaying the identified results on a display; A medical information processing program that enables computers to achieve this.

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