Information processing device, information processing method, and storage medium

Abstract

An information processing device 1X mainly comprises: an acquisition means 15X; and a display control means 17X. The acquisition means 15X acquires: first medical treatment information of a patient related to a first medical department in which the patient is examined; and second medical treatment information of the patient related to a second medical department other than the first medical department. The display control means 17X displays, on a display device, the first medical treatment information and second medical treatment information related to the first medical department. The information processing device described in the present disclosure can, for example, suitably assist with decision making related to medical treatment.

Description

Information Processing Apparatus, Information Processing Method, and Storage Medium

[0001] The present disclosure relates to the technical field of an information processing apparatus, an information processing method, and a storage medium that perform processing of information related to medical treatment.

[0002] A system that displays a patient's medical information on a screen for a doctor to check the patient's condition is known. For example, Patent Document 1 discloses an image display device that displays a reference screen in which a mammography image, a schematic diagram of a breast region, a patient ID region, and a findings display region are arranged on a display unit.

[0003] Japanese Patent Application Laid-Open No. 2015-027450

[0004] In the examination of a patient with a medical history in multiple medical departments, past medical information of the patient in a medical department other than the medical department where the patient is receiving treatment may be useful for the examination of the patient in the medical department where the patient is receiving treatment.

[0005] One object of the present disclosure is to provide an information processing apparatus, an information processing method, and a storage medium capable of displaying information useful for a patient's examination in view of the above-described problems.

[0006] One aspect of the information processing apparatus includes: acquisition means for acquiring first medical information of the patient related to a first medical department where the patient receives treatment and second medical information of the patient related to a second medical department other than the first medical department; and display control means for displaying the first medical information and the second medical information related to the first medical department on a display device.

[0007] One aspect of the information processing method includes: a computer acquiring first medical information of the patient related to a first medical department where the patient receives treatment and second medical information of the patient related to a second medical department other than the first medical department, and displaying the first medical information and the second medical information related to the first medical department on a display device.

[0008] One embodiment of a storage medium is a storage medium that stores a program that causes a computer to perform the process of acquiring first medical information of a patient relating to a first medical department to which the patient is receiving treatment, and second medical information of the patient relating to a second medical department other than the first medical department, and displaying the first medical information and the second medical information relating to the first medical department on a display device.

[0009] One example of the effects of this disclosure is that it will become possible to display information useful for patient examinations.

[0010] This shows the general configuration of the medical information management system. This shows an example of the hardware configuration of the information processing unit. This is a diagram showing an overview of the processing related to the display of medical information. This is an example of a block diagram related to the processing of displaying medical information. This shows an example of the screen displayed for confirmation by a breast surgery physician. This is an example of the screen displayed for confirmation by a breast surgery physician when the evidence display button is selected on the screen in Figure 5. This is an example of a flowchart showing an overview of the processing performed by the information processing unit. This is a block diagram of the information processing unit. This is an example of a flowchart performed by the information processing unit.

[0011] The following describes embodiments of the information processing device, information processing method, and storage medium with reference to the drawings.

[0012] <First Embodiment> (1) System Configuration Diagram 1 shows the schematic configuration of the medical information management system 100. The medical information management system 100 is a system that, when a doctor examines a patient in the breast clinic, can use medical information from other medical departments in addition to medical information from the breast clinic. The breast clinic is an example of a first medical department, and other medical departments are an example of a second medical department.

[0013] As shown in Figure 1, the medical information management system 100 mainly comprises an information processing device 1, a cloud server 2 that stores a medical information DB (DataBase) 21, and medical systems 3 (3A, 3B, 3C, etc.). The information processing device 1, the cloud server 2, and the medical systems 3 communicate data via a communication network 4.

[0014] Information processing device 1 generates and displays information for doctors examining breast patients. In this case, information processing device 1 receives medical information from departments other than breast medicine that are linked to the patient being examined from the medical information DB 21 held by the cloud server 2, and further extracts information related to breast examinations from the received medical information using a machine learning model. Information processing device 1 also obtains patient medical information in the breast medicine department from the breast medicine medical system 3A. Then, information processing device 1 displays the information extracted by the machine learning model and the patient medical information in the breast medicine department. Patients whose medical information is displayed by information processing device 1 are also called "target patients".

[0015] In Figure 1, the medical system 3 of the breast clinic to which the physician viewing the information belongs (i.e., the breast clinic medical system 3A) and the information processing device 1 are shown as separate entities. However, the information processing device 1 may instead be included within the breast clinic medical system 3A.

[0016] In the following explanation, as an example, the information processing device 1 will assume that it obtains the breast clinic medical information of the target patient from the breast clinic medical system 3A. Alternatively, the information processing device 1 may obtain the breast clinic medical information of the target patient, along with medical information from other departments, from the medical information DB 21.

[0017] Cloud Server 2 is one or more server devices that hold the medical information DB 21. In this case, each server device has hardware such as memory, a processor, and a communication interface, and performs the processing necessary to update and distribute the medical information DB 21 (including processing related to cloud computing). Cloud Server 2 receives medical information from the medical system 3 of each medical department and stores it in the medical information DB 21. The medical information received from the medical system 3 is associated with the identification information of the corresponding patient (also called "patient ID"). Furthermore, when Cloud Server 2 receives a request from the information processing device 1 via the communication network 4 to retrieve medical information specifying a patient ID, it transmits the medical information associated with the specified patient ID to the information processing device 1 via the communication network 4.

[0018] The medical information database 21 is a database of medical information generated by the medical system 3. The medical information contained in the medical information database 21 is linked to the patient ID of the corresponding patient. Here, "medical information" refers to any information related to medical treatment, and examples of medical information include medical images obtained from examinations, medical record information including physician's findings, and other medical information.

[0019] The medical information stored in the medical information DB 21 may be medical information generated by a single medical institution (hospital, clinic, etc.), or it may be medical information generated by multiple medical institutions (which may be a group of medical institutions in the same system). In the latter case, the cloud server 2 is a server that collects and distributes medical information from multiple medical departments of multiple medical institutions, and medical information linked to a patient ID commonly used by multiple medical institutions is stored in the medical information DB 21.

[0020] Medical system 3 is a medical system for each medical department, and in this case, it includes a breast clinic medical system 3A managed by the breast clinic, an internal medicine medical system 3B managed by the internal medicine department, and a surgical medical system 3C managed by the surgery department. Medical system 3 may also include medical systems managed by any other medical department (such as psychiatry, urology, obstetrics and gynecology, pediatrics, neurosurgery, etc.). Each medical system 3 for each medical department includes, for example, medical equipment for generating medical images, a computer for generating patient medical record information based on physician input, and a storage device for storing information generated within the medical department. Each medical system 3 for each medical department transmits the medical information generated within the medical department to the cloud server 2, linked to the patient ID. In a configuration where the cloud server 2 collects medical information from multiple medical institutions, medical system 3 may include medical systems from multiple medical institutions corresponding to the same medical department. In this case, there is a medical system 3 for each medical institution for the same medical department.

[0021] The configuration of the medical information management system 100 shown in Figure 1 is an example, and various modifications may be made. For example, the information processing device 1 may be composed of multiple devices.

[0022] (2) System Configuration Diagram 2 shows an example of the hardware configuration of the information processing device 1. The information processing device 1 mainly includes a processor 11, a memory 12, and an interface 13. Each of these elements is connected via a data bus 19.

[0023] The processor 11 executes predetermined processes by running programs and the like stored in the memory 12. The processor 11 is a processor such as a CPU (Central Processing Unit), GPU (Graphics Processing Unit), or TPU (Tensor Processing Unit). The processor 11 may be composed of multiple processors. The processor 11 is an example of a computer.

[0024] Memory 12 is composed of various volatile memories used as working memory, such as RAM (Random Access Memory) and ROM (Read Only Memory), and non-volatile memory that stores information necessary for processing by the information processing device 1. Memory 12 may also include an external storage device such as a hard disk connected to or built into the information processing device 1, or it may include a storage medium such as a removable flash memory. The memory 12 stores programs and other information necessary for the information processing device 1 to perform each of the processes in this embodiment.

[0025] For example, memory 12 stores model information for a machine learning model that extracts information about breast surgery from input medical information. Here, the information extracted from the input medical information may be selected (sorted) from the input medical information (i.e., some of the information from the input medical information), or it may be information that summarizes at least some of the information from the input medical information. The model information is the information necessary to construct a machine learning model that has been machine-learned, and it includes the trained parameters of the machine learning model. The machine learning model is, for example, a deep learning model that includes a neural network in its architecture, and such a deep learning model includes Large Language Models (LLMs). The machine learning model is pre-trained using multiple pairs of input medical information and ground truth data that the machine learning model should output when the input medical information is input as training data. The ground truth data mentioned above refers to the information about breast surgery extracted from the input medical information. When a machine learning model is constructed using a neural network, various parameters such as the layer structure, the neuron structure of each layer, the number and size of filters in each layer, and the weights of each element of each filter are pre-stored in memory 12 as learned parameters.

[0026] In a suitable example, the machine learning model described above includes a machine learning model in which the input medical information is text information (also called the "first machine learning model") and a machine learning model in which the input medical information is medical images (also called the "second machine learning model"). The first machine learning model is any natural language understanding model used for natural language processing, such as BERT (Bidirectional Encoder Representations from Transformers) or GTP (Generative Pre-trained Transformer). The first machine learning model is trained to output text information related to breast examinations from the input text information, such as medical record information. The second machine learning model is a machine learning model that takes images as input, such as SAM (Segment Anything Model). The second machine learning model is trained to output text information related to breast examinations from the input medical images, such as medical images.

[0027] In addition, the model information may be stored in any external device that communicates with the information processing device 1, instead of being stored in memory 12. In this case, the external device may refer to the model information and execute the machine learning model on behalf of the information processing device 1. In this case, the external device receives medical information from the information processing device 1 and supplies the information processing device 1 with the information that the machine learning model would output when the received medical information is input to the machine learning model.

[0028] Interface 13 performs interface operations for the information processing device 1. For example, interface 13 is electrically connected to the communication unit 130, the display unit 131, and the operation unit 132. Interface 13 may include hardware interfaces compliant with USB (Universal Serial Bus), SATA (Serial AT Attachment), etc.

[0029] The communication unit 130 is a communication interface such as a network adapter for communicating with an external device, such as a cloud server 2, via wired or wireless connection, and performs data communication with the external device under the control of the processor 11.

[0030] The display unit 131 performs a predetermined display based on a display signal supplied from the information processing device 1. Examples of the display unit 131 include displays such as CRTs (Cathode Ray Tubes) and LDCs (Liquid Crystal Displays), as well as projectors.

[0031] The operation unit 132 generates operation signals based on operations performed by a user of the information processing device 1, such as a doctor. Examples of the operation unit 132 include buttons, keyboards, pointing devices such as mice, touch panels, remote controllers, voice input devices, and other arbitrary user interfaces.

[0032] The configuration of the information processing device 1 shown in Figure 2 is an example, and various modifications may be made.

[0033] (3) Overview of the display of medical information Figure 3 is a diagram showing an overview of the processing related to the display of medical information performed by the information processing device 1.

[0034] Based on input from the breast specialist's control unit 132, a breast specialist patient whose condition needs to be checked by the doctor is designated, and the information processing device 1 receives medical information from the cloud server 2 regarding medical departments other than breast medicine that are associated with the designated patient's patient ID.

[0035] The information processing device 1 then inputs medical information about the target patient from departments other than breast surgery, received from the cloud server 2, into a machine learning model, and the machine learning model extracts information about breast surgery from the input medical information. In this case, the information processing device 1 uses a first machine learning model such as BERT for text information of the medical information, and a second machine learning model such as SAM for medical images. The information processing device 1 then displays the information output by the machine learning model in response to the input on the display unit 131, together with the medical information of the target patient in breast surgery obtained from the breast surgery medical system 3A, etc. The medical information of the target patient in breast surgery displayed on the display unit 131 includes medical images of the target patient's chest. The medical image may be an X-ray image of the breast (mammography), or any other type of medical image of the chest, such as a CT (Computed Tomography) image, an MRI (Magnetic Resonance Image) image, an ultrasound (echography) image, or a pathological image.

[0036] In this way, the information processing device 1 acquires medical information from medical departments other than the breast surgery department, which is the target medical department, from the cloud server 2, and selects from that medical information that may be useful for diagnosis in the breast surgery department and displays it to the breast surgery physician. This enables the physician to accurately diagnose the target patient and effectively supports the physician's decision-making.

[0037] Figure 4 is an example of a block diagram of the processor 11 of the information processing device 1 for displaying medical information. Functionally, the processor 11 has a medical information acquisition unit 15, an extraction unit 16, and a display control unit 17. In Figure 4, blocks where data is exchanged are connected by solid lines, but the combination of blocks where data is exchanged is not limited to this. The same applies to the diagrams of other functional blocks described later.

[0038] The medical information acquisition unit 15 acquires the medical information of the target patient from the cloud server 2. In this case, for example, by sending a request to acquire medical information including the patient ID specified by user input via the operation unit 132 to the cloud server 2, the medical information of the target patient from departments other than breast surgery is received from the cloud server 2 via the communication unit 130. The medical information acquisition unit 15 also acquires the medical information of the target patient from the breast surgery department from the breast surgery medical system 3A. The medical information of the target patient from the breast surgery department includes medical images of the target patient's chest. The medical information acquisition unit 15 then supplies the medical information of departments other than breast surgery to the extraction unit 16 and supplies the medical information of breast surgery to the display control unit 17. The medical information of breast surgery is an example of first medical information, and the medical information of departments other than breast surgery is an example of second medical information.

[0039] The extraction unit 16 extracts information related to breast surgery from the medical information of the target patient from medical departments other than breast surgery. In this case, the extraction unit 16 uses a first machine learning model to extract information related to breast surgery from text information such as medical record information, and a second machine learning model to extract information related to breast surgery from medical images. For example, the second machine learning model is a model that can detect specific diseases such as tumors that affect the condition of the chest in the chest or organs close to the chest, and if a specific disease is detected from the input medical image, it outputs text information indicating that the specific disease is present in that organ. The extraction unit 16 supplies the extracted information to the display control unit 17.

[0040] The display control unit 17 controls the display of the display unit 131 based on the medical information of the target patient's breast surgery department supplied from the medical information acquisition unit 15 and the information supplied from the extraction unit 16. In this case, the display control unit 17 generates a display signal and supplies the generated display signal to the display unit 131, thereby causing the information to be displayed on the display unit 131. An example of the display shown by the display unit 131 based on the control of the display control unit 17 will be described later.

[0041] The medical information acquisition unit 15, the extraction unit 16, and the display control unit 17 can be implemented, for example, by the processor 11 executing a program. Alternatively, the necessary programs may be recorded on any non-volatile storage medium and installed as needed to implement each component. At least some of these components are not limited to being implemented by software programs, but may also be implemented by a combination of hardware, firmware, and software. Furthermore, at least some of these components may be implemented using a user-programmable integrated circuit, such as an FPGA (Field-Programmable Gate Array) or a microcontroller. In this case, the program composed of the above-mentioned components may be implemented using this integrated circuit. Furthermore, at least a portion of each component may be composed of an ASSP (Application Specific Standard Produce), an ASIC (Application Specific Integrated Circuit), or a quantum processor (quantum computer control chip). Thus, each component may be realized by various hardware. The same applies to other embodiments described later. Moreover, each of these components may be realized by the collaboration of multiple computers, for example, using cloud computing technology.

[0042] (4) Display Example Figure 5 shows an example of a screen that a breast surgeon would view. The display control unit 17 detects a user input requesting the display of medical information for a 60-year-old patient named "〇×〇×", and displays the information generated by performing the above-described process on the display unit 131, treating the patient as the target patient.

[0043] In this case, the medical information acquisition unit 15 acquires the medical information associated with the patient ID "xxxx" of the target patient from the cloud server 2 and the breast medicine diagnosis system 3A. Then, the display control unit 17 generates a display signal based on the breast medicine diagnosis information of the target patient and the information extracted by the extraction unit 16 from the medical information of the target patient in medical departments other than the breast medicine department. Then, the display control unit 17 transmits the display signal to the display unit 131 to cause the display unit 131 to display the display screen shown in FIG. 5.

[0044] In the display screen shown in FIG. 5, the display control unit 17 displays the breast medicine diagnosis information of the target patient on the first display area 50. Here, the display control unit 17 displays, on the first display area 50, a chest X-ray image of the target patient taken on March 3, 2024 from the medio-lateral oblique (MLO) direction as the breast medicine diagnosis information of the target patient. Note that the display control unit 17 may display a plurality of types of chest medical images of the target patient side by side. For example, the display control unit 17 may select two or more from the chest X-ray image, MRI image, CT image, and ultrasonic image and display them side by side on the first display area 50. Further, when there is chart information (including the diagnosis result for the medical image) of the target patient in the breast medicine department, the display control unit 17 may display the chart information of the target patient in the breast medicine department together with the medical image on the first display area 50.

[0045] In addition, the display control unit 17 displays the information extracted by the extraction unit 16 from the medical information of the target patient in medical departments other than the breast medicine department on the second display area 51 as "medical history of other departments". Here, the information extracted by the extraction unit 16 from the medical information of the target patient in medical departments other than the breast medicine department includes "there may be cancer in internal organ X", "no childbirth history", "visited the obstetrics and gynecology department due to menopausal disorder (two years ago)", "with a history of obesity", and "with a drinking habit". The display control unit 17 displays these five pieces of information side by side in a list.

[0046] Preferably, the display control unit 17 displays information that has a greater impact on breast clinic treatment (i.e., is highly relevant) higher up on the second display area 51. For example, a predetermined type of information that is estimated to have a greater impact on breast clinic treatment is pre-stored in memory 12, and the display control unit 17 sets the display order of information belonging to the predetermined type of information higher than other information among the information displayed side by side. In another example, the machine learning model outputs information indicating the degree of relevance to breast clinic treatment along with each extracted piece of information, and the extraction unit 16 associates the degree of relevance with each extracted piece of information and supplies it to the display control unit 17. The display control unit 17 then sets the display order higher for information with a higher degree of relevance. In yet another example, the machine learning model is pre-trained to output information extracted in order of its impact on breast clinic treatment, and the display control unit 17 displays the extracted information side by side according to the order output by the machine learning model.

[0047] Furthermore, the display control unit 17 provides a display increase button 53 labeled "Increase Display" and a display decrease button 54 labeled "Decrease Display" on the second display area 51. When the display control unit 17 detects that the display increase button 53 has been selected, it increases the information listed on the second display area 51 (i.e., past medical history in other departments), and when it detects that the display decrease button 54 has been selected, it decreases the information listed on the second display area 51.

[0048] For example, before the display increase button 53 and the display decrease button 54 are selected, the display control unit 17 displays only a portion of the information supplied from the extraction unit 16 on the second display area 51, instead of displaying all of the information supplied from the extraction unit 16 on the second display area 51. In this case, for example, the display control unit 17 may limit the amount of information displayed on the second display area 51 to a predetermined number or less, or display only a predetermined percentage of the information supplied from the extraction unit 16 on the second display area 51. Then, when the display control unit 17 detects that the display increase button 53 has been selected, it displays all of the information supplied from the extraction unit 16 on the second display area 51. On the other hand, when the display control unit 17 detects that the display decrease button 54 has been selected, it reduces the amount of information listed on the second display area 51 by a predetermined percentage or a predetermined number.

[0049] In another example, in the state before the display increase button 53 and the display decrease button 54 are selected, the display control unit 17 displays only a part of the information supplied from the extraction unit 16 on the second display area 51 based on the setting information in which the doctor who is the user has specified the information to be displayed in advance. For example, when the setting information for specifying the type of information to be displayed on the second display area 51 (including specification by keywords, etc.) is stored in advance in the memory 12 or the like, the display control unit 17 selects only the information corresponding to the type specified in the setting information from the information supplied from the extraction unit 16, and displays the selected information on the second display area 51. Then, when the display control unit 17 detects that the display increase button 53 has been selected, it displays all of the information supplied from the extraction unit 16 on the second display area 51. On the other hand, when the display control unit 17 detects that the display decrease button 54 has been selected, it reduces the information listed on the second display area 51 by a predetermined ratio or a predetermined number.

[0050] Further, the display control unit 17 provides a basis display button 55 for displaying the medical image that is the basis for the information "there may be a tumor in internal organ X" extracted from the medical image using the second machine learning model. Thus, preferably, the display control unit 17 may display a GUI for displaying the medical image that is the extraction source of the information about the information extracted from the medical image. In this case, the display control unit 17 displays the medical image that is the extraction source of the information based on the input to the GUI. Note that the display control unit 17 may similarly display a GUI for displaying the text information that is the extraction source of the information about the information extracted from the text information using the first machine learning model. In this case, the display control unit 17 displays the text information that is the extraction source of the information (for example, the medical record information in a specific department) based on the input to the GUI.

[0051] The display control unit 17 may change the information displayed on the second display area 51 depending on the type of medical image of the chest to be displayed on the first display area 50. For example, correspondence information indicating the correspondence between the type of medical image of the chest and the type of information to be displayed on the second display area 51 is stored in the memory 12 or the like beforehand, and the display control unit 17 refers to this correspondence information and determines the type of information to be displayed on the second display area 51 based on the type of medical image of the chest to be displayed on the first display area 50. Then, the display control unit 17 selects the information that corresponds to the determined type from the information supplied from the extraction unit 16 and displays the selected information on the second display area 51.

[0052] Furthermore, if the medical information from the breast clinic includes information indicating the presence of a lesion in the chest and the progression of the lesion (i.e., malignancy or phase), the display control unit 17 may change the information displayed on the second display area 51 according to the progression of the lesion. For example, correspondence information indicating the relationship between the progression of the lesion and the type of information to be displayed on the second display area 51 is stored in the memory 12 or the like beforehand, and the display control unit 17 refers to this correspondence information and the medical information from the breast clinic to determine the type of information to be displayed on the second display area 51. Then, the display control unit 17 selects information that corresponds to the determined type from the information supplied from the extraction unit 16 and displays the selected information on the second display area 51.

[0053] Figure 6 shows an example of a screen displayed for confirmation by a breast specialist when the evidence display button 55 is selected on the screen shown in Figure 5. In this example, the display control unit 17 detects that the evidence display button 55 has been selected on the display screen in Figure 5 and displays the medical image 56 used by the extraction unit 16 to extract the information corresponding to the evidence display button 55, "There is a possibility of cancer in organ X," as a pop-up. In this way, when the display control unit 17 extracts and displays information related to breast care from medical information of medical departments other than breast care, it can effectively support breast diagnosis by displaying supporting information according to the user's request.

[0054] (5) The processing flow diagram 7 is an example of a flowchart that shows an overview of the processing performed by the information processing device 1.

[0055] First, the information processing device 1 acquires a display request (step S11). In this case, for example, if the information processing device 1 detects user input from a breast specialist specifying a patient whose condition should be displayed, it determines that there has been a display request specifying a target patient.

[0056] Next, the information processing device 1 obtains the patient's medical information from the cloud server 2 or the like (step S12). The information processing device 1 may also obtain breast clinic medical information from the breast clinic medical system 3A and receive medical information from other clinics from the cloud server 2.

[0057] Next, the information processing device 1 extracts information related to breast surgery from medical information other than that of the breast surgery department using a machine learning model (step S13). In this case, the information processing device 1 extracts information from text information contained in medical information other than that of the breast surgery department using a first machine learning model, and extracts information from medical images contained in medical information other than that of the breast surgery department using a second machine learning model.

[0058] Then, the information processing device 1 displays the information extracted in step S13 on the display unit 131 together with the medical information, including the medical images from the breast clinic (step S14).

[0059] (6) As a modification of the first modification, instead of the processing flow shown in the flowchart of Figure 7, the information processing device 1 may, before a target patient is specified, perform a process to extract information related to breast clinic treatment for each patient in the breast clinic whose medical information is registered in the medical information DB 21, in steps S12 and S13. In this case, the information processing device 1 may store the extracted information in memory 12, etc., linked to the corresponding patient ID, and when a patient whose status should be displayed is specified, read the information linked to the patient ID of the specified patient from memory 12, etc., and perform a display based on step S14.

[0060] As a second modification, when displaying a patient's condition to a physician belonging to any medical department other than breast surgery, the information processing device 1 may perform the same processing as the flowchart in Figure 7 and display information from other medical departments. In this case, in step S13, the information processing device 1 uses a machine learning model to extract information related to the medical treatment of the physician to which the viewing physician belongs from the medical information of medical departments other than the physician to which the viewing physician belongs. Then, in step S14, the information processing device 1 displays the extracted information together with the medical information of the medical department to which the viewing physician belongs. Even in this case, the information processing device 1 can suitably support the physician's decision-making regarding medical treatment.

[0061] <Second Embodiment> Figure 8 is a block diagram of the information processing device 1X. The information processing device 1X mainly comprises an acquisition means 15X and a display control means 17X. The information processing device 1X may be composed of multiple devices.

[0062] The acquisition means 15X acquires the patient's first medical information relating to the first medical department to which the patient is receiving treatment, and the patient's second medical information relating to a second medical department other than the first medical department. The acquisition means 15X can be, for example, the medical information acquisition unit 15 in the first embodiment.

[0063] The display control means 17X displays the first medical information and the second medical information relating to the first medical department on the display device. The display control means 17X can be, for example, the display control unit 17 in the first embodiment.

[0064] Figure 9 is an example of a flowchart showing the processing procedure executed by the information processing device 1X. The device acquires the patient's first medical information relating to the first clinical department to which the patient is receiving treatment, and the patient's second medical information relating to a second clinical department other than the first clinical department (step S21). Next, the display control means 17X displays the first medical information and the second medical information relating to the first clinical department on the display device (step S22).

[0065] According to the second embodiment, the information processing device 1X can present first medical information of the first clinical department along with second medical information of other clinical departments related to the first clinical department, thereby supporting the medical treatment of patients in the first clinical department.

[0066] In each of the embodiments described above, the program can be stored using various types of non-transitory computer-readable media and supplied to a computer, such as a processor. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transient computer-readable media include magnetic storage media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical storage media (e.g., magneto-optical disks), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memory (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). Programs may also be supplied to a computer by various types of transient computer-readable media. Examples of transient computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transient computer-readable media can supply programs to a computer via wired communication channels such as electric wires and optical fibers, or via wireless communication channels.

[0067] Furthermore, some or all of the above embodiments (including modified versions, hereinafter the same) may also be described as follows, but are not limited to the following. Also, some or all of the configurations described in the appendix dependent on Appendix 1 may be dependent on Appendix 9 and Appendix 10 in the same manner as the appendix dependent on Appendix 1. Moreover, not limited to the devices, methods, and storage media described in the appendix, some or all of the configurations described in the appendix may also be dependent on methods, various hardware, software, various recording means for recording software (including storage media), or systems, without departing from the above embodiments.

[0068] [Note 1] An information processing device having: an acquisition means for acquiring first medical information of a patient relating to a first medical department to which the patient is receiving treatment, and second medical information of the patient relating to a second medical department other than the first medical department; and a display control means for displaying the first medical information and the second medical information relating to the first medical department on a display device. [Note 2] The information processing device according to Note 1, further comprising an extraction means for extracting information relating to the first medical department from the second medical information, wherein the display control means displays the information extracted by the extraction means as the second medical information relating to the first medical department on the display device. [Note 3] The information processing device according to Note 2, wherein the extraction means acquires the information output by the machine learning model when the second medical information is input to the machine learning model as the second medical information relating to the first medical department, and the machine learning model is machine-trained to output information relating to the first medical department extracted from the input information when information is input. [Note 4] The information processing device according to Note 3, wherein the extraction means extracts the second medical information relating to the first medical department using the following as machine learning models: a first machine learning model that outputs information relating to the first medical department extracted from input text information when text information is input, and a second machine learning model that outputs information relating to the first medical department extracted from input images when an image is input. [Note 5] The information processing device according to Note 1, wherein the first medical information includes a medical image taken of the patient in the first medical department, and the display control means displays the medical image and the second medical information relating to the first medical department on the display device. [Note 6] The information processing device according to Note 1, wherein the acquisition means acquires at least the second medical information corresponding to the patient from a server device that stores medical information generated in the first and second medical departments for each patient who has received medical treatment. [Note 7] The information processing apparatus according to Note 2, wherein the display control means detects information selected from the information extracted by the extraction means, and displays the second medical information used to extract the information on the display device as the basis for the selected information.[Note 8] The information processing apparatus according to Note 2, wherein, when there are multiple pieces of extracted information, the display control means arranges the extracted information in order of its greatest impact on the patient's medical treatment in the first clinical department and displays it on the display device. [Note 9] An information processing method in which a computer acquires first medical information of the patient relating to the first clinical department to which the patient is receiving treatment, and second medical information of the patient relating to a second clinical department other than the first clinical department, and displays the first medical information and the second medical information relating to the first clinical department on a display device. [Note 10] A program that causes a computer to execute a process of acquiring first medical information of the patient relating to the first clinical department to which the patient is receiving treatment, and second medical information of the patient relating to a second clinical department other than the first clinical department, and displaying the first medical information and the second medical information relating to the first clinical department on a display device. [Note 11] A storage medium storing the program according to Note 10.

[0069] Although the present invention has been described above with reference to embodiments, the present invention is not limited to the above embodiments. Various modifications to the structure and details of the present invention can be made as understood by those skilled in the art within the scope of the present invention. That is, the present invention includes the full disclosure, including the claims, and of course, various modifications and alterations that those skilled in the art could make in accordance with the technical idea. Furthermore, the above-mentioned patent and non-patent disclosures are incorporated herein by reference.

[0070] 1. 1X Information Processing Device 2. Cloud Server 3. (3A, 3B, 3C) Medical System 4. Communication Network 11. Processor 12. Memory 13. Interface 21. Medical Information Database 100. Medical Information Management System

Claims

1. An information processing device having: an acquisition means for acquiring first medical information of a patient relating to a first medical department to which the patient is receiving treatment, and second medical information of the patient relating to a second medical department other than the first medical department; and a display control means for displaying the first medical information and the second medical information relating to the first medical department on a display device.

2. The information processing apparatus according to claim 1, further comprising an extraction means for extracting information relating to the first medical department from the second medical information, wherein the display control means displays the information extracted by the extraction means as the second medical information relating to the first medical department on the display device.

3. The information processing apparatus according to claim 2, wherein the extraction means inputs the second medical information into a machine learning model, thereby acquiring the information output by the machine learning model as the second medical information relating to the first medical department, and the machine learning model is machine-trained to output information relating to the first medical department extracted from the input information when information is input.

4. The information processing device according to claim 3, wherein the extraction means extracts the second medical information relating to the first medical department using the following as machine learning models: a first machine learning model that outputs information relating to the first medical department extracted from input text information when text information is input, and a second machine learning model that outputs information relating to the first medical department extracted from input images when an image is input.

5. The information processing apparatus according to claim 1, wherein the first medical information includes a medical image taken of the patient in the first medical department, and the display control means displays the medical image and the second medical information relating to the first medical department on the display device.

6. The information processing apparatus according to claim 1, wherein the acquisition means acquires at least the second medical information corresponding to the patient from a server device that stores medical information generated in the first medical department and the second medical department for each patient who has received medical treatment.

7. The information processing apparatus according to claim 2, wherein when the display control means detects information selected from the information extracted by the extraction means, it displays the second medical information used to extract the information on the display device as the basis for the selected information.

8. The information processing apparatus according to claim 2, wherein, if there are multiple pieces of extracted information, the display control means displays the extracted information on the display device in order of its greatest impact on the patient's medical treatment in the first clinical department.

9. An information processing method comprising: a computer acquiring first medical information of a patient relating to a first medical department to which the patient is receiving treatment, and second medical information of the patient relating to a second medical department other than the first medical department, and displaying the first medical information and the second medical information relating to the first medical department on a display device.

10. A storage medium storing a program that causes a computer to perform the process of acquiring the patient's first medical information relating to the first medical department to which the patient is receiving treatment, and the patient's second medical information relating to a second medical department other than the first medical department, and displaying the first medical information and the second medical information relating to the first medical department on a display device.

Images