Clinical support system and clinical support device

Abstract

To support medical care according to various profiles of a patient.SOLUTION: A clinical support system comprises an acquisition unit, an analysis unit, and a display control unit. The acquisition unit acquires patient information related to a patient, inquiry information indicating the details of the patient's answers to an inquiry, and conversation information in which the conversation with the patient is recorded. The analysis unit performs analysis processing using the patient information, the inquiry information, and the conversation information to generate patient characteristic information indicating a psychological profile and a social profile of the patient. The display control unit displays the psychological profile and the social profile of the patient in an identifiable manner based on the patient characteristic information.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The embodiments disclosed in the present specification and drawings relate to a clinical support system and a clinical support device.

[0002] Traditionally, doctors and other medical professionals have been required to provide medical care based not only on biological aspects such as test results, but also on the social and psychological aspects of patients. Therefore, medical professionals collect information on psychological and social aspects through communication with patients.

[0003] However, it can be difficult to collect information on psychological and social aspects, and it can also be difficult to utilize this information while taking an overall view. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Special Publication No. 2014-503894 Summary of the Invention [Problem to be solved by the invention]

[0005] One of the problems to be solved by the embodiments disclosed in this specification and the drawings is to support medical treatment tailored to various aspects of patients. 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]

[0006] The clinical support system according to the embodiment includes an acquisition unit, an analysis unit, and a display control unit. The acquisition unit acquires patient information related to a patient, medical interview information indicating the patient's responses to medical interviews, and conversation information recording the patient's conversation. The analysis unit: Extract information on each analysis item of the patient's psychological and social aspects Through analytical processing, The patient information, the medical interview information, and the conversation information are used to obtain information on the analysis items. The display control unit generates patient characteristic information. The display control unit displays psychological and social aspects of the patient based on the patient characteristic information. For each item, information on each of the above analysis items is Display. The display control unit then displays information indicating that there is a change over time for the analysis item that has a change over time. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of a clinical support system according to this embodiment. [Figure 2] FIG. 2 is a block diagram showing an example of the configuration of the clinical support device according to this embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the data configuration of the analysis target information. [Figure 4] FIG. 4 is an explanatory diagram showing an example of a patient analysis screen according to this embodiment. [Figure 5] FIG. 5 is a flowchart showing an example of a display process executed by the clinical support device according to this embodiment. [Figure 6] FIG. 6 is an explanatory diagram showing an example of a patient analysis screen according to the first modification. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, a clinical support system and a clinical support device according to embodiments will be described with reference to the drawings. In the following embodiments, parts with the same reference numerals perform similar operations, and redundant description will be omitted as appropriate.

[0009] (Present embodiment) Doctors and other medical professionals are expected to provide holistic medical care that takes into account not only biological aspects but also the psychological and social aspects of patients.More specifically, medical professionals are expected to determine treatment plans that take into account various aspects, rather than determining treatment plans based solely on biological aspects such as the results of diagnostic imaging and clinical tests.

[0010] For example, patients with chronic diseases such as lifestyle-related diseases may not be cured by simply administering medication. For example, in the case of lower back pain, it is preferable for medical professionals to not only prescribe a medicinal patch but also provide advice based on the patient's lifestyle, such as their work.

[0011] Medical professionals can expect greater improvement by implementing treatments that encourage lifestyle changes rather than simply administering medication. Furthermore, by determining treatment plans that take into account the patient's parental status and work status, patients can achieve better adherence (patients actively participating in treatment and medication and receiving treatment in accordance with their decisions) through treatment that fits their lifestyle both during and after treatment, leading to better quality of life and better outcomes. Furthermore, patients can concentrate on their treatment with peace of mind by receiving explanations and treatment tailored to their individual personalities.

[0012] In this way, medical professionals can provide better medical care by determining treatment plans based on biological, psychological, and social aspects. In other words, medical professionals are required to provide so-called holistic medical care that includes not only biological aspects but also psychological and social aspects. Medical professionals also collect information on psychological and social aspects through communication with patients.

[0013] However, healthcare professionals communicate with patients based on their own training and experience. They may find it difficult to collect information related to psychological and social aspects of patients. They must also decide which psychological and social aspects to record in electronic medical records. Furthermore, healthcare professionals are required to utilize this information while maintaining a comprehensive perspective. Therefore, there is a need for technology that supports medical treatment that takes into account various aspects of patients, including psychological and social aspects.

[0014] FIG. 1 is a block diagram showing an example of the configuration of a clinical support system 1 according to this embodiment. The clinical support system 1 includes a hospital information system (HIS) 10, a radiology information system (RIS) 20, a picture archiving and communication system (PACS) 30, a laboratory information system (LIS) 40, a patient terminal 50, a patient measurement terminal 60, a clinical support device 70, and a display device 80. Each system and device is connected to each other via a network 90 so as to be able to communicate with each other. The configuration shown in FIG. 1 is an example, and the number of each system and device may be changed as desired. Devices not shown in FIG. 1 may also be connected to the network 90.

[0015] The hospital information system 10, the radiology department information system 20, the medical image management system 30, and the clinical test information system 40 are realized by computer devices such as servers and workstations.

[0016] The hospital information system 10 stores electronic medical record information 11 and medical interview information 12. The electronic medical record information 11 is information that records the progress of a patient's medical treatment. For example, the electronic medical record information 11 includes information for identifying the patient, personal information such as the patient's age, sex, and family structure, the name of the disease the patient has, the name of the prescribed medication, and the treatment period. The medical interview information 12 is information that indicates the patient's responses to a medical interview. For example, the medical interview information 12 includes responses to the patient's current symptoms, responses to the patient's living environment, and responses to a personality assessment.

[0017] The radiology department information system 20 stores image interpretation report information 21. The image interpretation report information 21 is information containing findings by a doctor or the like who has interpreted image information 31 captured by a medical image diagnostic apparatus.

[0018] The medical image management system 30 stores image information 31. The image information 31 includes images captured by a medical image diagnostic device. The medical image diagnostic device is, for example, an X-ray CT (Computed Tomography) device, an MRI (Magnetic Resonance Imaging) device, an X-ray diagnostic device, an ultrasound diagnostic device, or the like. The image information 31 complies with the DICOM (Digital Imaging and Communications in Medicine) standard.

[0019] The clinical test information system 40 stores clinical test result information 41 and clinical test report information 42. The clinical test result information 41 is information showing the results of a clinical test. The clinical test report information 42 is information containing findings on the clinical test results.

[0020] The patient terminal 50 is a terminal used by the patient. The patient terminal 50 is realized by, for example, a smartphone, a tablet terminal, a wearable terminal, or a personal computer. The patient terminal 50 also stores conversation information 51 in which the patient's conversation is recorded. For example, the conversation information 51 is information about conversations with medical professionals such as doctors, nurses, and counselors. Specifically, the conversation information 51 has audio information in which the conversation is recorded. The conversation information 51 may also have video information such as videos and still images that include the conversation. If video information is included, the conversation information 51 has video that shows the patient's facial expressions.

[0021] The patient measurement terminal 60 is a terminal that measures the vital signs of a patient. The patient measurement terminal 60 is realized, for example, by a wearable terminal. The patient measurement terminal 60 measures vital signs such as blood pressure, pulse, body temperature, and respiration. The patient measurement terminal 60 may also record conversations. The patient measurement terminal 60 then stores personal health information 61 that includes the measurement results of the vital signs.

[0022] The patient measurement terminal 60 is not limited to a wearable terminal, but may be a body fat meter, an activity monitor, or other devices. The patient measurement terminal 60 may measure body fat, an activity level, or other items. Furthermore, the clinical support system 1 may be equipped with a plurality of patient measurement terminals 60. Furthermore, in the clinical support system 1, the measurement targets of each of the plurality of patient measurement terminals 60 may be different.

[0023] The clinical support device 70 is a device that supports medical professionals such as doctors in clinical practice. The clinical support device 70 is realized by computer equipment such as a server or a workstation. The clinical support device 70 analyzes biological, social, and psychological aspects of a patient based on information acquired from each system and device of the clinical support system 1. The clinical support device 70 also analyzes information that does not belong to the biological, social, or psychological aspects of the patient, i.e., other aspects. The clinical support device 70 also generates information indicating the biological, social, psychological, and other aspects of the patient. The clinical support device 70 may be installed in a facility such as a hospital, or may be a server on the Internet.

[0024] The display device 80 is a device capable of displaying various types of information. The display device 80 is realized by a computer device such as a personal computer or a tablet terminal. The display device 80 displays various types of information generated by the clinical support device 70. For example, the display device 80 displays a patient analysis screen G1 (see FIG. 4). The display device 80 is an example of a display control unit.

[0025] A medical professional such as a doctor can understand the social and psychological aspects of a patient by looking at the image displayed on the display device 80. Therefore, the medical professional can create a treatment plan that takes into account the social and psychological aspects of the patient.

[0026] Next, the clinical support device 70 will be described.

[0027] 2 is a block diagram showing an example of the configuration of a clinical support device 70 according to this embodiment. The clinical support device 70 includes an NW (network) interface 710, an input interface 720, a display 730, a storage circuitry 740, and a processing circuitry 750.

[0028] The NW interface 710 is connected to the processing circuit 750, and controls the transmission and communication of various data between the processing circuit 750 and each device connected via the network 90. ​​For example, the NW interface 710 is realized by a network card, a network adapter, a NIC (Network Interface Controller), or the like.

[0029] The input interface 720 is connected to the processing circuitry 750 and converts input operations received from an operator (medical professional) into electrical signals and outputs the electrical signals to the processing circuitry 750. Specifically, the input interface 720 converts the input operations received from the operator into electrical signals and outputs the electrical signals to the processing circuitry 750. For example, the input interface 720 may be realized by a trackball, a switch button, a mouse, a keyboard, a touchpad that performs input operations by touching the operation surface, a touchscreen that integrates a display screen and a touchpad, a non-contact input circuit using an optical sensor, a voice input circuit, or the like. Note that in this specification, the input interface 720 is not limited to those that include physical operation components such as a mouse and a keyboard. For example, an electrical signal processing circuit that receives an electrical signal corresponding to an input operation from an external input device provided separately from the device and outputs the electrical signal to a control circuit is also included as an example of the input interface 720.

[0030] The display 730 is connected to the processing circuit 750 and displays various types of information and image data output from the processing circuit 750. For example, the display 730 is realized by a liquid crystal display, a CRT (Cathode Ray Tube) display, an organic EL display, a plasma display, a touch panel, or the like.

[0031] The storage circuitry 740 is connected to the processing circuitry 750 and stores various data. The storage circuitry 740 also stores various programs that are read and executed by the processing circuitry 750 to realize various functions. For example, the storage circuitry 740 is realized by a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, a hard disk, an optical disk, or the like.

[0032] The memory circuitry 740 stores analysis target information 741. Fig. 3 is a diagram showing an example of the data configuration of the analysis target information 741. The analysis target information 741 is information acquired by each system or device of the clinical support system 1, and is specified as information to be analyzed as biological aspects, social aspects, psychological aspects, or other aspects of the patient.

[0033] The analysis target information 741 is associated with a classification, an analysis item, and an analysis target item. The classification is a division such as biological aspect, social aspect, psychological aspect, and others. The biological aspect is a classification indicating the biological aspect of the patient. For example, the biological aspect is associated with biological analysis items such as the patient's various test results, diseases, and physical condition. Furthermore, the biological aspect is not limited to biological aspects, and analysis items related to physical aspects, medical aspects, and pathological aspects may also be associated with the biological aspect. The psychological aspect is a classification indicating the psychological aspect of the patient. For example, the psychological aspect is associated with analysis items related to psychological aspects such as the patient's intentions and personality. Furthermore, the psychological aspect may include the patient's emotional state. The emotional state may be feelings such as depression or anger. The social aspect is a classification indicating the social aspect of the patient. For example, the social aspect is associated with analysis items related to social aspects such as work, interpersonal relationships, hobbies, and educational background. Other is associated with analysis items that do not belong to any of the biological, psychological, or social aspects. The analysis items are items used to analyze the patient. The analysis target item is information that specifies whether or not to analyze the analysis item. That is, the clinical support device 70 analyzes the analysis item that is set as the analysis target in the analysis target item. The association between the classification of the analysis target information 741 and the analysis items shown in FIG. 3 is an example and may be changed as desired.

[0034] The processing circuitry 750 controls the overall operation of the clinical support device 70. The processing circuitry 750 has, for example, a patient designation function 751, an information acquisition function 752, an analysis target designation function 753, a feature analysis function 754, and an information generation function 755. In the embodiment, each processing function performed by the components of the patient designation function 751, the information acquisition function 752, the analysis target designation function 753, the feature analysis function 754, and the information generation function 755 is stored in the storage circuitry 740 in the form of a computer-executable program. The processing circuitry 750 is a processor that realizes the function corresponding to each program by reading and executing the program from the storage circuitry 740. In other words, the processing circuitry 750 in a state in which each program has been read has each function shown in the processing circuitry 750 of FIG. 2.

[0035] 2 is described as realizing the patient designation function 751, information acquisition function 752, analysis target designation function 753, feature analysis function 754, and information generation function 755 by a single processor, but it is also possible to combine multiple independent processors to configure the processing circuitry 750 and have each processor execute a program to realize the function. Also, in FIG. 2, it is described as realizing the single storage circuitry such as the storage circuitry 740 storing the programs corresponding to the respective processing functions, but it is also possible to configure multiple storage circuits to be distributed and have the processing circuitry 750 read out the corresponding programs from the individual storage circuits.

[0036] The term "processor" used in the above description refers to a circuit such as a CPU (Central Processing Unit), a GPU (Graphical Processing Unit), 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)). The processor realizes its functions by reading and executing a program stored in the memory circuit 740. Note that instead of storing a program in the memory circuit 740, the processor may be configured so that the program is directly embedded in its circuitry. In this case, the processor realizes its functions by reading and executing the program embedded in its circuitry.

[0037] The patient designation function 751 accepts designation of a patient for whom a treatment plan is to be created. In other words, the patient designation function 751 accepts designation of a patient for whom physical, social, and psychological aspects of the patient are to be analyzed. The patient designation function 751 accepts designation of a patient from, for example, the display device 80. For example, the patient designation function 751 accepts information that can identify the patient, such as the patient's name or a patient code for identifying the patient. Alternatively, the patient designation function 751 accepts designation of a patient by selection from a list of patients.

[0038] The information acquisition function 752 acquires patient information related to the patient, medical interview information 12 indicating the patient's responses to medical interviews, and conversation information 51 recording the patient's conversation. The information acquisition function 752 is an example of an acquisition unit. Here, the patient information is information obtained by monitoring the patient, such as electronic medical record information 11, radiology report information 21, image information 31, clinical test result information 41, clinical test report information 42, and personal health information 61. For example, when a patient is designated by the patient designation function 751, the information acquisition function 752 acquires the patient information, medical interview information 12, and conversation information 51 of the designated patient.

[0039] The analysis target designation function 753 designates analysis target items, which are analysis items to be analyzed by the characteristic analysis function 754, from among the analysis items of the biological aspects, psychological aspects, and social aspects of the patient. The analysis target designation function 753 is an example of a designation unit. In other words, the analysis target designation function 753 designates analysis target items of the analysis target information 741.

[0040] More specifically, the analysis target designation function 753 accepts designation of an analysis target to be analyzed using the patient information, interview information 12, and conversation information 51 acquired by the information acquisition function 752. For example, the analysis target designation function 753 accepts designation of an analysis target by information received by the NW interface 710 or an operation accepted by the input interface 720. For example, the analysis target designation function 753 accepts designation of an analysis target from the display device 80 via the NW interface 710. Then, the analysis target designation function 753 designates the analysis target items of the designated analysis target information 741 as the analysis target.

[0041] The feature analysis function 754 generates patient feature information indicating biological, psychological, social, and other aspects of the patient through an analysis process using the patient information, the medical interview information 12, and the conversation information 51. The feature analysis function 754 is an example of an analysis unit. The analysis process is a process of extracting, determining, analyzing, and generating new information from the patient information, the medical interview information 12, and the conversation information 51. The patient feature information is information indicating the patient's features in biological, psychological, social, or other aspects. The patient feature information is also the analysis result for each analysis item of the patient's biological, psychological, social, or other aspects.

[0042] Here, the feature analysis function 754 generates patient feature information that indicates at least one of the patient's judgment tendency, preference, and value system as psychological aspects. More specifically, the feature analysis function 754 generates patient feature information that indicates the patient's judgment tendency when making decisions, preferences that indicate what options the patient prefers to select, and values ​​that serve as the patient's judgment criteria.

[0043] The feature analysis function 754 also generates patient feature information indicating at least one of the patient's social background and social environment as social aspects. For example, each factor in the social determinants of health may be considered a social aspect. Social determinants of health are social factors that cause differences in an individual's health status. Social determinants of health are hierarchical, with factors at each level. For example, social determinants of health include social backgrounds such as educational background, income, and occupation, as well as social environments such as housing, public safety, and transportation. The feature analysis function 754 then generates patient feature information indicating the patient's social background and social environment as social determinants.

[0044] More specifically, the feature analysis function 754 generates patient feature information for each of the analysis target items of the patient's biological aspects, psychological aspects, and social aspects. Of the information included in the patient information, the feature analysis function 754 generates patient feature information that corresponds to the analysis target items of the biological aspects specified by the analysis target information 741. Specifically, the feature analysis function 754 generates patient feature information that indicates comorbid diseases, physical conditions, etc. included in the patient information.

[0045] Furthermore, the feature analysis function 754 generates patient feature information for the analysis target items of psychological and social aspects specified by the analysis target information 741 from the patient information, the medical interview information 12, and the information included in the conversation information 51. For example, the feature analysis function 754 generates patient feature information from the medical interview information 12 that corresponds to the analysis target items of psychological and social aspects specified by the analysis target information 741. Specifically, the feature analysis function 754 extracts answers to questions about personality judgment, work, interpersonal relationships, etc., included in the medical interview information 12.

[0046] Furthermore, the feature analysis function 754 generates patient feature information including conversation content information and emotion information by analyzing the conversation information 51. The conversation content information is information indicating the content of the conversation. The emotion information is information indicating the emotion of the patient when each phrase in the conversation was uttered.

[0047] More specifically, the feature analysis function 754 generates patient feature information including conversation content information and emotional information corresponding to the analysis target items of the psychological and social aspects specified by the analysis target information 741. For example, the feature analysis function 754 generates conversation content information indicating the content of the conversation by performing natural language processing on the conversation information 51. For example, if the conversation information 51 includes the utterance "my lower back hurts," the feature analysis function 754 generates the sentence "my lower back hurts."

[0048] Furthermore, the feature analysis function 754 generates emotion information indicating the emotion of the patient who spoke. Here, when the patient's symptoms are worsening, the patient often speaks with negative emotion. On the other hand, when the patient's symptoms are improving, the patient often speaks with positive emotion. For example, the feature analysis function 754 generates emotion information indicating the emotion of the patient expressed by the tone of voice, hesitation, nuance, etc. when saying, "My lower back hurts." In this way, the feature analysis function 754 generates patient feature information in which emotion information is associated with conversation content information.

[0049] For example, the feature analysis function 754 may utilize artificial intelligence such as AI (Artificial Intelligence). For example, the feature analysis function 754 generates emotion information indicating the emotion of a speaker of a conversation included in the conversation information 51 using a trained model generated by machine learning. The trained model is generated by supervised learning in which the conversation information 51 is input as training data on the input side, and emotion information indicating the emotion of the speaker is input as training data on the output side. Note that the trained model is not limited to this type of machine learning and may be generated by other methods.

[0050] Furthermore, the feature analysis function 754 may generate information indicating the patient's emotional information and values ​​by comparing the conversation information 51 with other information such as the patient information and the medical interview information 12. For example, if the patient answers that their standing work is moderate in intensity in the medical interview information 12 and that their standing work is six hours in the conversation information 51, the feature analysis function 754 can generate information indicating the patient's values ​​indicating that the patient recognizes six hours as moderate intensity.

[0051] Furthermore, as time passes, the social and psychological conditions of the patient change. Therefore, the characteristic analysis function 754 can repeatedly generate patient characteristic information, and may generate patient characteristic information at regular intervals or for each medical event such as an examination or notification.

[0052] In addition, the characteristic analysis function 754 may generate patient characteristic information indicating psychological and social aspects, not limited to all biological, psychological, social, and other aspects of the patient.

[0053] The information generating function 755 generates information to be displayed on the display device 80. The display device 80 then displays the various pieces of information generated by the information generating function 755. For example, the information generating function 755 generates information that identifiably indicates the psychological and social aspects of a patient based on the patient characteristic information. As a result, the display device 80 identifiably displays the psychological and social aspects of a patient based on the patient characteristic information. The information generating function 755 is an example of an information generating unit. Furthermore, the information generating function 755 may generate information that indicates not only psychological and social aspects but also biological aspects or other aspects. In other words, the information generating function 755 may generate information that identifiably indicates the biological, psychological, and social aspects of a patient based on the patient characteristic information.

[0054] For example, the information generation function 755 generates a patient analysis screen G1 that identifiably displays the psychological and social aspects of a patient based on the patient characteristic information. Fig. 4 is an explanatory diagram showing an example of the patient analysis screen G1 according to this embodiment. The patient analysis screen G1 includes patient summary information G11, an interpretation report button G121, a clinical test report button G122, a clinical test results button G123, biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16.

[0055] The patient summary information G11 is information that indicates an overview of the patient. For example, the patient summary information G11 is information that indicates a number for identifying the patient, the patient's name, the patient's date of birth, the patient's history of illness and injury, the patient's family composition, etc. The patient summary information G11 may also include medical images of the patient captured by a medical image diagnostic device. The patient summary information G11 does not need to display all medical images of the patient; for example, it may only display representative medical images. The medical images may also be thumbnail images that have been reduced in resolution or reduced in size.

[0056] The image interpretation report button G121 is a button that accepts an operation to display the image interpretation report information 21. The clinical test report button G122 is a button that accepts an operation to display the clinical test report information 42. The clinical test result button G123 is a button that accepts an operation to display the clinical test result information 41.

[0057] The biological aspect information G13 is information that indicates patient characteristic information related to the biological aspects of the patient from among the patient characteristic information generated by the characteristic analysis function 754. For example, the biological aspect information G13 is information that indicates characteristic keywords related to the biological aspects of the patient. The biological aspect information G13 also has a details button G131 that displays details of the biological aspects of the patient characteristic information.

[0058] The psychological aspect information G14 is information that indicates patient characteristic information related to the psychological aspects of the patient, among the patient characteristic information generated by the characteristic analysis function 754. For example, the psychological aspect information G14 is information that indicates characteristic keywords related to the psychological aspects of the patient. In addition, the psychological aspect information G14 has a details button G141 that displays details of the psychological aspects of the patient characteristic information.

[0059] The social aspect information G15 is information that indicates patient characteristic information related to the social aspects of the patient, among the patient characteristic information generated by the characteristic analysis function 754. For example, the social aspect information G15 is information that indicates characteristic keywords related to the social aspects of the patient. In addition, the social aspect information G15 has a details button G151 that displays details of the social aspects of the patient characteristic information.

[0060] The other aspect information G16 is information that indicates patient characteristic information related to other aspects of the patient from among the patient characteristic information generated by the characteristic analysis function 754. For example, the other aspect information G16 is information that indicates characteristic keywords related to other aspects of the patient. In addition, the other aspect information G16 has a details button G161 that displays details of other aspects of the patient characteristic information.

[0061] Furthermore, in the biological aspect information G13, the psychological aspect information G14, the social aspect information G15, and the other aspect information G16, the information generation function 755 may generate information indicating emotions when the patient spoke about each of the analysis items of the biological aspect, the psychological aspect, and the social aspect. For example, the information generation function 755 may generate information indicating emotions when the keywords of the biological aspect information G13, the psychological aspect information G14, the social aspect information G15, and the other aspect information G16 were spoken.

[0062] More specifically, the information generating function 755 may generate information indicating the emotion at the time of utterance by expressing the conversation content information included in the patient characteristic information based on the emotion information. For example, when expressing the emotion at the time of utterance, the information generating function 755 may present the words indicated by the conversation content information in a color specified by the emotion information, add a numerical value specified by the emotion information to the words indicated by the conversation content information, add a character specified by the emotion information to the words indicated by the conversation content information, or add an image such as an icon specified by the emotion information to the words indicated by the conversation content information. This allows the medical professional to understand the emotion with which the patient spoke and why the relevant words were uttered.

[0063] Furthermore, the information generation function 755 generates information indicating changes over time in the patient's biological, psychological, social, and other aspects based on the patient characteristic information. Here, the characteristic analysis function 754 generates patient characteristic information for different periods of time through analysis processing using patient information, interview information 12, and conversation information 51 acquired at different times. That is, the characteristic analysis function 754 generates patient characteristic information for different periods of time, such as at regular intervals or for each medical event. The information generation function 755 compares multiple pieces of patient characteristic information from different periods. Then, when there is a change in the multiple pieces of patient characteristic information, the information generation function 755 generates information indicating changes over time for the corresponding analysis items among the biological, psychological, social, and other aspects.

[0064] The information generation function 755 generates biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16 that indicate changes over time. For example, the information generation function 755 changes the color of an analysis item that has changed over time, adds text indicating that there has been a change over time, or adds an image such as an icon indicating that there has been a change over time.

[0065] Furthermore, the information generation function 755 may generate biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16 that enable identification of an outline of change over time. For example, the information generation function 755 may generate biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16 that express whether an emotion has changed to a positive or negative emotion using images such as colors, numbers, characters, or icons.

[0066] The information generating function 755 may also generate information that allows comparison of analysis items that have changed over time. For example, when the details button G131, G141, G151, or G161 is pressed, the information generating function 755 generates information that lists the analysis items of the patient characteristic information before the change over time and the analysis items of the patient characteristic information after the change over time. This allows medical professionals to understand how the patient's condition has changed.

[0067] Next, various processes executed by the clinical support system 1 will be described.

[0068] 5 is a flowchart showing an example of display processing executed by the clinical support device 70 according to this embodiment. The display processing is processing for displaying characteristic items in each aspect of a patient.

[0069] The patient designation function 751 accepts designation of a patient to be the subject of the patient analysis screen G1 (step S1).

[0070] The information acquisition function 752 acquires patient information such as electronic medical record information 11, radiology report information 21, image information 31, clinical test result information 41, clinical test report information 42, and personal health information 61 (step S2).

[0071] The information acquisition function 752 acquires the medical interview information 12 (step S3).

[0072] The information acquisition function 752 acquires the conversation information 51 (step S4).

[0073] The characteristic analysis function 754 generates patient characteristic information indicating biological, psychological, social, and other aspects of the patient through analytical processing using the patient information, medical interview information 12, and conversation information 51 (step S5).

[0074] The information generation function 755 generates a patient analysis screen G1 based on the patient characteristic information (step S6).

[0075] The information generating function 755 transmits the generated patient analysis screen G1 to the display device 80 (step S7), whereby the display device 80 displays the patient analysis screen G1.

[0076] With the above, the clinical support device 70 ends the display process.

[0077] As described above, the clinical support system 1 according to this embodiment acquires patient information indicating the monitoring results of the patient, medical interview information 12, and conversation information 51. Furthermore, the clinical support system 1 acquires patient characteristic information indicating the psychological and social aspects of the patient through analysis processing using the patient information, medical interview information 12, and conversation information 51. Based on the patient characteristic information, the clinical support system 1 then generates a patient analysis screen G1 indicating the psychological and social aspects of the patient. The display device 80 then displays the patient analysis screen G1. This allows medical professionals to grasp various aspects of the patient through the patient analysis screen G1. Therefore, the clinical support system 1 can support medical treatment according to various aspects of the patient.

[0078] Furthermore, medical professionals can consider treatment plans that take into account the biological, psychological, and social aspects of the patient. Therefore, the clinical support system 1 can promote holistic and patient-centered medical care.

[0079] (Variation 1) In the present embodiment, the information generation function 755 has been described as generating the patient analysis screen G1 shown in Fig. 4. The information generation function 755 may generate a patient analysis screen G2 in a format different from the patient analysis screen G1 shown in Fig. 4. Then, the display device 80 may display the patient analysis screen G2.

[0080] FIG. 6 is an explanatory diagram showing an example of the patient analysis screen G2 according to the first modification. The patient summary information G21, the image interpretation report button G22, the clinical test report button G23, and the clinical test results button G24 are the same as the patient summary information G11, the image interpretation report button G121, the clinical test report button G122, and the clinical test results button G123 on the patient analysis screen G1 shown in FIG. 4. The patient summary information G21 may also include medical images of the patient captured by a medical image diagnostic device. The patient summary information G21 does not need to display all medical images of the patient; for example, it may display representative medical images. The medical images may also be thumbnail images, which are medical images with reduced resolution or reduced size.

[0081] In addition, the information generation function 755 generates a patient analysis screen G2 having list information G25 in place of the biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16 of the patient analysis screen G1 shown in Figure 4.

[0082] The information generating function 755 generates list information G25 that shows patient characteristic information for each classification and analysis item of the analysis target information 741. That is, the information generating function 755 generates list information G25 that combines biological aspect information G13, psychological aspect information G14, social aspect information G15, and other aspect information G16. The information generating function 755 also has a details button G26 that displays details of the biological aspect, psychological aspect, social aspect, and other aspects of the patient characteristic information. As in the above embodiment, the information generating function 755 may generate information in the list information G25 that shows the psychological state at the time of each utterance or information that shows changes over time. Furthermore, when the details button G26 is pressed, the information generating function 755 may generate information that allows comparison of analysis items that have changed over time.

[0083] (Variation 2) In this embodiment, the information generation function 755 generates patient analysis screens G1 and G2. Then, it has been explained that the display device 80 displays the patient analysis screens G1 and G2. The information generation function 755 may display the patient analysis screens G1 and G2 on the display 730 of the clinical support device 70, or may display them on another device.

[0084] (Variation 3) In this embodiment, it has been explained that the information acquisition function 752 acquires patient information, medical interview information 12, and conversation information 51. Furthermore, the information acquisition function 752 may acquire location information from the patient terminal 50, may acquire electroencephalogram information from the patient measurement terminal 60, or may acquire both of these pieces of information.

[0085] The location information is information indicating the location of the patient terminal 50. In other words, the location information is information indicating the location of the patient. The feature analysis function 754 can extract the commuting time, for example, by measuring the travel time from the patient's home to their workplace based on the location information and map information at each time. In a similar manner, the feature analysis function 754 can extract the time spent commuting to the hospital. Furthermore, the feature analysis function 754 can extract, based on the location information, whether the patient is active or tends to stay at home.

[0086] The electroencephalogram information is information indicating the patient's electroencephalogram. For example, the information acquisition function 752 acquires electroencephalogram information indicating the patient's electroencephalogram while conversing with a medical professional. This allows the feature analysis function 754 to acquire the patient's psychological state while conversing with the medical professional. For example, the feature analysis function 754 can extract whether the patient is relaxed or stressed.

[0087] (Variation 4) The information generation function 755 may generate information indicating standard treatment on the patient analysis screens G1, G2, etc. Standard treatment is standard treatment that is implemented depending on the injury or illness and the progression of the injury or illness, etc.

[0088] More specifically, the information acquisition function 752 acquires standard treatment information indicating standard treatment according to the injury, illness, and progression of the patient designated by the patient designation function 751 from standard treatment list information, which is a list of standard treatments registered for each injury, illness, and progression of the injury, illness, and disease. Then, the information generation function 755 generates patient analysis screens G1 and G2 containing the standard treatment indicated by the standard treatment information based on the standard treatment information. This allows medical professionals to confirm the standard treatment according to the patient's injury, illness, and progression, and then create a treatment plan that takes into account the patient's psychological and social aspects.

[0089] (Variation 5) The information generating function 755 may generate information indicating information on similar patients who are similar to the patient specified by the patient specifying function 751. For example, the information generating function 755 may generate information indicating electronic medical record information 11 of similar patients. For example, the information generating function 755 may generate information indicating electronic medical record information 11 of similar patients who are similar to a patient who has an introverted personality and has children. This allows medical professionals to refer to the treatment of similar patients.

[0090] For example, the memory circuitry 740 stores patient characteristic information of multiple patients. The information generation function 755 calculates the degree of similarity between the patient characteristic information generated by the characteristic analysis function 754 and the patient characteristic information of multiple patients stored in the memory circuitry 740. The information generation function 755 also generates patient characteristic information with a degree of similarity equal to or greater than a threshold. The information generation function 755 determines the patient of the generated patient characteristic information as a similar patient. Then, when the information generation function 755 receives an operation to display information about a similar patient selected from one or more similar patients, it generates information indicating the specified information.

[0091] The information generating function 755 may calculate the similarity by setting the importance of the classification and analysis items of the patient characteristic information. For example, if the importance of the social aspect is set high, the information generating function 755 selects patients with similar social aspects as similar patients. This allows the information generating function 755 to generate information indicating information on patients with similar classifications and analysis items that medical professionals consider important.

[0092] (Variation 6) It has been explained that the feature analysis function 754 analyzes the physical, psychological, social, and other aspects of a patient. That is, it has been explained that the feature analysis function 754 analyzes the patient's utterances in the conversation information 51. However, if only the patient's utterances are displayed, medical professionals may not understand why the patient spoke in that way. Therefore, the feature analysis function 754 extracts utterances from persons other than the patient in the conversation information 51. In this case, if the speaker is not clearly indicated, medical professionals will not know who spoke each phrase.

[0093] The feature analysis function 754 may extract the content of the utterance and the speaker when it is possible to identify the speaker by comparing the extracted voice with a voiceprint. Furthermore, when it is not possible to identify the speaker, the feature analysis function 754 may extract information such as "Speaker A," which indicates that a person other than the patient spoke, along with the content of the utterance. The information generation function 755 may then generate, on the patient analysis screens G1 and G2, keywords indicated by the content of the utterance and information indicating the speaker who spoke the content of the utterance.

[0094] This allows medical professionals who view the patient analysis screens G1 and G2 to understand the circumstances under which each statement was made and who spoke each statement.

[0095] (Variation 7) The information generating function 755 generates information indicating analysis items for which patient characteristic information has not been generated among the analysis target items specified by the analysis target specifying function 753. That is, the information generating function 755 generates information indicating analysis items for which patient characteristic information has not been generated among the analysis target items of the analysis target information 741. That is, the display device 80 displays information indicating analysis items for which patient characteristic information has not been generated.

[0096] For example, the information generation function 755 may generate information indicating analysis items for which information has not been generated among the analysis items selected for analysis on the patient analysis screens G1 and G2. This allows medical professionals to ask patients questions about analysis items for which information has not been extracted during medical examinations, etc. Therefore, the information generation function 755 can encourage the collection of information about analysis items for which information has not been generated.

[0097] According to at least one of the embodiments described above, medical care can be supported according to various aspects of the patient.

[0098] Although several embodiments 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, modifications, and combinations of embodiments 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 and its equivalents as defined in the claims. [Explanation of symbols]

[0099] 1 Clinical support system 10 Hospital Information System (HIS) 11 Electronic medical record information 12 Medical Interview Information 20 Radiology Information Systems (RIS) 21 Image interpretation report information 30 Medical Image Management Systems (PACS: Picture Archiving and Communication Systems) 31 Image information 40 Laboratory Information System (LIS) 41 Clinical test result information 42 Clinical Test Report Information 50 Patient terminals 51 Conversation Information 60 Patient measurement terminal 61 Personal health information 70 Clinical support equipment 80 Display device 741 Analysis target information 751 Patient specification function 752 Information Acquisition Function 753 Analysis target specification function 754 Feature Analysis Function 755 Information generation function G1, G2 Patient analysis screen G11, G21 patient profile information G121, G22 interpretation report button G122, G23 Clinical Test Report Buttons G123, G24 Clinical Test Results Button G13 Biological information G14 Psychological aspect information G15 Social aspect information G16 Other Aspects G131, G141, G151, G161, G26 Details button G25 List Information

Claims

1. an acquisition unit that acquires patient information related to the patient, medical interview information indicating the patient's answers to medical interviews, and conversation information in which the patient's conversation is recorded; an analysis unit that generates patient characteristic information having information on each analysis item of the psychological and social aspects of the patient from the patient information, the medical interview information, and the conversation information by performing an analysis process to extract information on each analysis item of the psychological and social aspects of the patient; a display control unit that displays information on each of the analysis items for each psychological aspect and social aspect of the patient based on the patient characteristic information; Equipped with the display control unit displays information indicating that there is a change over time for the analysis item that has a change over time. Clinical support system.

2. the analysis unit generates the patient characteristic information indicating at least one of a judgment tendency, a preference, and a value of the patient as the psychological aspect. The clinical support system according to claim 1 .

3. the analysis unit generates the patient characteristic information indicating at least one of a social background or a social environment of the patient as the social aspect. The clinical support system according to claim 1 or 2.

4. the analysis unit generates the patient characteristic information by the analysis process of extracting information on the analysis items of biological aspects, psychological aspects, and social aspects of the patient; the display control unit displays information on each of the analysis items for each of biological aspects, psychological aspects, and social aspects of the patient based on the patient characteristic information. The clinical support system according to any one of claims 1 to 3.

5. the display control unit displays information about the analysis item with an image expressing a change in emotion added thereto for the analysis item with a change over time. The clinical support system according to claim 1 .

6. the display control unit displays, for the analysis item that has undergone a change over time, information about the analysis item before the change over time and information about the analysis item after the change over time in a manner that allows comparison. The clinical support system according to claim 1 .

7. The analysis unit generates the patient characteristic information including the emotions of the patient when speaking by the analysis process that extracts information on each of the analysis items of the patient's biological aspect, psychological aspect, and social aspect, the display control unit displays the emotion of the patient when speaking for each of the analysis items for each of the biological aspect, psychological aspect, and social aspect of the patient based on the patient characteristic information. The clinical support system according to any one of claims 1 to 6.

8. a designation unit for designating an analysis target item, which is an analysis item to be analyzed by the analysis unit, from among the analysis items of biological aspects, psychological aspects, and social aspects of the patient; the analysis unit generates the patient characteristic information by the analysis process of extracting information on the analysis item corresponding to the analysis target item designated by the designation unit. The clinical support system according to any one of claims 1 to 7.

9. the display control unit displays, among the analysis target items designated by the designation unit, the analysis items for which the patient characteristic information has not been generated. The clinical support system according to claim 8.

10. The display control unit indicates that there has been a change over time in the information of the analysis item by at least one of the following: a color indicating that there has been a change over time; adding text indicating that there has been a change over time; or adding an icon indicating that there has been a change over time. The clinical support system according to any one of claims 1 to 9.

11. The display control unit displays information on each of the analysis items for each psychological aspect and social aspect of the patient in a manner that allows the information to be identified as changing over time. The clinical support system according to any one of claims 1 to 9.

12. The display control unit displays information indicating that the information on the analysis items has changed over time to positive or negative emotions. The clinical support system according to any one of claims 1 to 9.

13. an acquisition unit that acquires patient information related to the patient, medical interview information indicating the patient's answers to medical interviews, and conversation information in which the patient's conversation is recorded; an analysis unit that generates patient characteristic information having information on each analysis item of the psychological and social aspects of the patient from the patient information, the medical interview information, and the conversation information by performing an analysis process to extract information on each analysis item of the psychological and social aspects of the patient; an information generating unit that generates information on the analysis items for each of the psychological and social aspects of the patient based on the patient characteristic information; Equipped with the information generating unit generates information indicating that there is a change over time for the analysis item that has a change over time. Clinical support equipment.

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