Clinical support system and clinical support device

Abstract

To support a determination as to whether to request a support from a specialist.SOLUTION: A clinical support system comprises an acquisition unit, an analysis unit, a determination 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 determination unit determines at least one supporter from whom the system requests a support based on the patient characteristic information, a medical care event for the patient, and a request condition for requesting a support in the medical care event. The display control unit displays a screen including information on the supporter determined by the determination unit.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. To this end, medical professionals collect information on psychological and social aspects through communication with patients. Medical professionals are then required to provide medical care in collaboration with various specialists based on the information they have collected.

[0003] However, it was sometimes difficult for medical professionals to determine when and which specialist to seek help from based on the information they had collected. [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 the decision of whether or not to request professional support. 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] A clinical support system according to an embodiment includes an acquisition unit, an analysis unit, a determination 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 a medical interview, and conversation information recording the patient's conversation. The analysis unit generates patient characteristic information indicating psychological and social aspects of the patient through an analysis process using the patient information, the medical interview information, and the conversation information. The determination unit determines at least one supporter to request support from, based on the patient characteristic information, a medical event of the patient, and a request condition for requesting support in the medical event. The display control unit displays a screen including information about the supporter determined by the determination unit. [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 a diagram illustrating an example of the data configuration of medical event information. [Figure 5] FIG. 5 is a diagram illustrating an example of a data configuration of support request information. [Figure 6] FIG. 6 is an explanatory diagram showing an example of the medical treatment schedule screen according to this embodiment. [Figure 7] FIG. 7 is a flowchart showing an example of support request processing executed by the clinical support device according to this embodiment. [Figure 8] FIG. 8 is a flowchart showing an example of the supporter determination process executed by the clinical support device according to this embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] Hereinafter, a clinical support system and a clinical support device according to the present embodiment will be described with reference to the drawings. In the following embodiments, parts with the same reference numerals perform similar operations, and redundant descriptions 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 if they implement treatments that encourage lifestyle changes rather than simply administering medication. Furthermore, by determining treatment plans that take into account whether the patient has children and their work status, patients can improve their adherence (patients actively participating in treatment and medication and receiving treatment in accordance with their decisions) 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, medical professionals communicate with patients based on their own training and experience. They may find it difficult to gather information related to psychological and social aspects of patients. They must also decide which information to record in electronic medical records. Furthermore, medical professionals are required to utilize this information while maintaining a comprehensive overview.

[0014] In recent years, medical treatment is no longer provided solely by doctors, but is provided in collaboration with a variety of other specialists. Doctors and other medical professionals request support depending on the stage of treatment and the patient's condition. This allows each specialist to carry out activities according to their own specialty. For example, social workers provide advice on patients' lifestyles. Oncology nurses also provide care appropriate for cancer treatment.

[0015] As such, medical professionals need to seek support depending on the stage of medical treatment and the patient's condition. However, medical professionals can sometimes find it difficult to determine when and which specialist to request support from. Therefore, there is a need for technology to help them decide whether or not to request support from a specialist.

[0016] 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.

[0017] 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.

[0018] 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.

[0019] 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.

[0020] 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.

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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 within a facility or may be a server on the Internet.

[0026] 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 medical treatment schedule screen G1 (see FIG. 6). The display device 80 is an example of a display control unit.

[0027] Then, by looking at the information displayed on the display device 80, a medical professional such as a doctor can determine whether or not to request assistance from a professional.

[0028] Next, the clinical support device 70 will be described.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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.

[0033] 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.

[0034] The memory circuitry 740 stores analysis target information 741, medical event information 742, and support request information 743.

[0035] 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 information that is specified as the target for analysis as biological aspects, social aspects, psychological aspects, or other aspects of the patient.

[0036] The analysis target information 741 is associated with a category, an analysis item, and an analysis target item. The category is a division such as biological aspect, psychological aspect, social 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 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.

[0037] FIG. 4 is a diagram showing an example of the data configuration of medical event information 742. The medical event information 742 is information in which a medical event is associated with the importance of the medical event. A medical event is an event in medical treatment. The importance is information indicating the degree of priority of a medical event among other medical events. The medical events shown in FIG. 4 are an example, and any event may be set as a medical event. That is, a medical event not included in the medical event information 742 shown in FIG. 4 may be added, or a medical event included in the medical event information 742 shown in FIG. 4 may not exist. The importance shown in FIG. 4 is an example, and may be changed as desired. The medical event information 742 does not need to have an importance.

[0038] FIG. 5 is a diagram illustrating an example of the data configuration of the support request information 743. The support request information 743 includes a list of medical professionals who will provide support when a request condition is met in a medical event. FIG. 5 also illustrates a portion of the support request information 743. That is, the support request information 743 includes information about not only the medical event "under treatment" but also other medical events. The support request information 743 illustrated in FIG. 5 indicates that when the request condition "condition change occurs" is met in the medical event "under treatment," medical professionals associated with the request condition "condition change occurs" become candidates for support. Priority is associated with information indicating each medical professional. The priority indicates the degree to which support should be requested from the associated medical professional. The clinical support device 70 displays a list of medical professionals based on the priority. This makes it easier for the clinical support device 70 to request support from a more important medical professional. The request conditions, medical professionals, and priority illustrated in FIG. 5 are merely examples and may be changed as desired. The support request information 743 does not necessarily have a priority.

[0039] 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, a medical event determination function 755, a support determination function 756, a support provider identification function 757, an information generation function 758, an operation input function 759, a support request function 760, and a setting function 761. 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, the medical event determination function 755, the support determination function 756, the support provider identification function 757, the information generation function 758, the operation input function 759, the support request function 760, and the setting function 761 is stored in the storage circuitry 740 in the form of a computer-executable program. The processing circuitry 750 is a processor that reads and executes the program from the storage circuitry 740 to realize the function corresponding to each program. In other words, the processing circuit 750 in the state in which each program has been read has each function shown in the processing circuit 750 of FIG.

[0040] 2 is described as realizing the patient designation function 751, information acquisition function 752, analysis target designation function 753, feature analysis function 754, medical event determination function 755, support determination function 756, support provider identification function 757, information generation function 758, operation input function 759, support request function 760, and setting function 761 by a single processor, but it is also possible to combine multiple independent processors to configure the processing circuit 750 and have each processor execute a program to realize the function. Also, in FIG. 2, it is described as realizing the single storage circuit such as the storage circuit 740 storing the program corresponding to each processing function, but it is also possible to configure multiple storage circuits to be distributed and have the processing circuit 750 read out the corresponding program from each storage circuit.

[0041] 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.

[0042] 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.

[0043] 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.

[0044] 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, psychological, and social aspects of the patient. In other words, the analysis target designation function 753 designates the analysis target items of the analysis target information 741.

[0045] 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.

[0046] 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, medical interview information 12, and 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, medical interview information 12, and 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.

[0047] 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.

[0048] 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.

[0049] 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.

[0050] 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."

[0051] 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.

[0052] 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.

[0053] 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.

[0054] Furthermore, as time passes, the social and psychological conditions of the patient change. Therefore, the characteristic analysis function 754 may generate patient characteristic information at regular intervals, or may generate patient characteristic information for each medical event such as an examination or notification.

[0055] 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.

[0056] The medical event determination function 755 determines which medical event of the medical event information 742 the patient corresponds to, based on patient information obtained by monitoring the patient, such as the electronic medical record information 11, the radiology report information 21, the image information 31, the clinical test result information 41, the clinical test report information 42, and the personal health information 61. Examples of medical events include "initial consultation," "detailed examination," "notification," "start of treatment," "ongoing treatment," "drug change," "end of treatment," "discontinuation of treatment," and "end of life."

[0057] "First visit" is a medical event that indicates the first medical examination. The medical event determination function 755 determines that the event corresponds to a "first visit" when there is no medical record of the medical department registered in the electronic medical record information 11 within a set period from the current time. For example, even if the patient has visited the same medical department in the past, the medical event determination function 755 determines that the event corresponds to a "first visit" when there is no medical record within a set period from the last visit date. Furthermore, the medical event determination function 755 determines that the event corresponds to a "first visit" when it is the first medical record.

[0058] "Detailed examination" is a medical event indicating that a detailed examination such as an imaging diagnosis or a clinical test is being performed. The medical event determination function 755 determines that the event corresponds to a "detailed examination" when there is test order information.

[0059] "Notification" is a state in which a patient is notified of something untoward. The medical event determination function 755 determines whether there is test order information, a history indicating that the test was performed, and the clinical test report information 42 or the radiology report information 21. The medical event determination function 755 then analyzes the clinical test report information 42 or the radiology report information 21 to determine whether the event corresponds to "notification." For example, the medical event determination function 755 performs natural language processing on the clinical test report information 42. The medical event determination function 755 determines that the event corresponds to "notification" when it contains a term indicating cancer or a term that is thought to require special attention, such as malignancy or suspected malignancy. The medical event determination function 755 also determines that the event corresponds to "notification" when the radiology report information 21 contains information indicating a metastatic lesion. For example, in the case of a breast cancer patient, the medical event determination function 755 also determines that the event corresponds to "notification" when it is found that a shadow that appears to be cancer is present in the breast opposite the breast with cancer or in an organ other than the breast.

[0060] "Treatment start" is a medical care event indicating that this is the first treatment for an injury or illness. "Treatment in progress" is a medical care event indicating that this is the second or subsequent treatment for an injury or illness. For example, the medical care event determination function 755 determines whether the event corresponds to "treatment start" or "treatment in progress" based on the number of drug therapy instructions or the number of appointments with the radiotherapy department.

[0061] A "drug change" is a medical event indicating that the medication administered to a patient has been changed. A "treatment discontinuation" is a medical event indicating that treatment for a patient has been discontinued. For example, the medical event determination function 755 determines whether an event corresponds to a "drug change" or "treatment discontinuation" based on CTCAE (Common Terminology Criteria for Adverse Events) grade information, patient outcome report information, blood test result information, etc., recorded in the electronic medical record information 11 or nursing report. The medical event determination function 755 also determines whether an event corresponds to a "drug change" or "treatment discontinuation" based on the difference between the white blood cell count, neutropenia, and other blood marker reference values ​​in blood tests performed during drug therapy or radiation therapy.

[0062] "End of treatment" is a medical event indicating that a patient's treatment has ended. For example, the medical event determination function 755 determines whether or not the event corresponds to "end of treatment" based on the standard number of treatments included in the electronic medical record information 11. For example, the medical event determination function 755 determines whether or not the event corresponds to "end of treatment" based on the number of drug therapy instructions. Furthermore, the standard number of radiation treatments after breast cancer conservative therapy is 25 sessions. Therefore, the medical event determination function 755 may determine whether or not the event corresponds to "end of treatment" based on the number of appointments made with the radiotherapy department.

[0063] "Terminal stage" is a medical event indicating that the injury or illness is not likely to be cured and that treatment has been discontinued or transitioned to palliative care only. For example, the medical event determination function 755 determines whether a case corresponds to the "terminal stage" when a metastatic lesion is detected from the electronic medical record information 11 and "treatment has been discontinued" or when treatment has been switched to only painkiller medication.

[0064] The support determination function 756 determines whether the request conditions set for the medical event are satisfied based on the patient characteristic information. Here, the supporter is a professional who supports the medical staff in response to a request for support. Note that the supporter is typically a professional, but does not have to be a professional.

[0065] For example, suppose that a request condition of "depressed state" for a medical event of "under treatment" is set in the support request information 743. If the medical event determination function 755 determines that the medical event is "under treatment" and the patient is determined to be in a "depressed state" based on the patient characteristic information, the support determination function 756 determines that the request condition is met.

[0066] For example, suppose that the request condition "retirement" is set for the medical event "detailed examination" in the support request information 743. The support determination function 756 determines that the request condition is met when the medical event determination function 755 determines that the medical event is "detailed examination" and the patient is determined to be "retired" based on the patient characteristic information. Note that the request condition "retirement" is not limited to the medical event "detailed examination" and may be set for other medical events.

[0067] For example, suppose that a request condition of "introverted" for a medical event of "notification" is set in the support request information 743. If the medical event determination function 755 determines that the medical event is "notification" and the patient is determined to be "introverted" based on the patient characteristic information, the support determination function 756 determines that the request condition is met.

[0068] The medical event determination function 755 may determine that the event corresponds to multiple medical events. For example, the medical event determination function 755 may determine that the event is "under treatment" and "medication change." More specifically, the support determination function 756 determines which medical event to prioritize based on the importance of the medical event contained in the medical event information 742. For example, the support determination function 756 selects one medical event based on the importance of the medical event information 742. Then, the support determination function 756 determines whether the request conditions set for the prioritized medical event are satisfied based on the patient characteristic information. Note that when the medical event information 742 does not contain an importance level, the support determination function 756 determines whether the request conditions set for each medical event are satisfied.

[0069] The support person identification function 757 determines at least one support person for whom support is requested based on the patient characteristic information, the patient's medical event, and the request conditions for requesting support in the medical event. The support person identification function 757 is an example of a determination unit. More specifically, the support person identification function 757 determines, based on the support request information 743, that a professional associated with the request conditions determined to be satisfied by the support determination function 756 is at least one support person for whom support is requested.

[0070] Furthermore, when the medical event determination function 755 determines which medical event should be prioritized based on the importance of the medical event, the supporter identification function 757 determines at least one supporter to request support from based on the patient characteristic information, the medical event, the importance of the medical event, and the request conditions. That is, the supporter identification function 757 determines that a professional associated with the request conditions is the supporter.

[0071] The information generating function 758 generates information to be displayed on the display device 80. Then, the display device 80 displays the various pieces of information generated by the information generating function 758. For example, the information generating function 758 generates a medical treatment schedule screen G1 that shows the medical treatment schedule for the patient. Then, the display device 80 displays the medical treatment schedule screen G1 generated by the information generating function 758.

[0072] FIG. 6 is an explanatory diagram showing an example of the medical treatment schedule screen G1 according to this embodiment. The medical treatment schedule screen G1 has patient summary information G11, schedule information G12, and vital sign information G13. The patient summary information G11 is information showing an overview of the patient. For example, the patient summary information G11 is information showing the patient's name, date of birth, blood type, height, weight, etc. The vital sign information G13 is information showing the vital signs for each day shown in the schedule information G12.

[0073] The schedule information G12 is information indicating medical appointments. The schedule information G12 shows medical appointments indicating medical appointments and medical events for each day. The information generation function 758 provides a supporter request button G14 for the medical event when the support determination function 756 determines that the request conditions are met. The supporter request button G14 is a button that displays supporter request information G15 indicating a supporter to whom support should be requested. The information generation function 758 may automatically present the supporter request information G15 even if the supporter request button G14 is not pressed. For example, when presenting the medical appointment schedule screen G1, the information generation function 758 may present the supporter request information G15 on the condition that the support determination function 756 determines that the request conditions are met. In other words, the information generation function 758 generates the supporter request information G15 including information about the supporter determined by the supporter identification function 757. The information generation function 758 is an example of an information generation unit. That is, the information generating function 758 generates supporter request information G15 indicating a supporter to whom support should be requested.

[0074] The supporter request button G14 is associated with the time when it is determined that the request conditions are met in the medical event. That is, the information generation function 758 generates supporter request information G15 including information about the supporter, in association with the time when it is determined that the request conditions are met. This allows the medical professional to know when to request support.

[0075] The information generation function 758 generates supporter request information G15 when the supporter request button G14 is pressed. The supporter request information G15 is information requesting support from a supporter. The supporter request information G15 has message information G151, supporter list information G152, and a support request button G153.

[0076] The message information G151 is information indicating the medical event for which the request condition is determined to be satisfied and the time of the medical event. The information generation function 758 generates the message information G151 based on the medical event for which the support determination function 756 determines that the request condition is satisfied and the time of the medical event.

[0077] The supporter list information G152 is information for selecting a supporter from whom support is requested. The information generation function 758 generates supporter list information G152, which is a list of supporters identified by the supporter identification function 757. Here, the supporter identification function 757 identifies a supporter from a list of supporters registered for the request conditions based on the support request information 743. In other words, the information generation function 758 generates supporter list information G152 for selecting a supporter from whom support is requested from among the supporters registered for the request conditions. The supporter list information G152 has a check box for each supporter. The support request button G153 is a button for requesting support from a supporter selected by a check box in the supporter list information G152.

[0078] Furthermore, the information generating function 758 generates supporter list information G152 that shows a list of supporters for whom support is requested, based on the priority of the supporters included in the support request information 743. For example, the information generating function 758 generates supporter list information G152 in which supporters are arranged in order according to their priority. This allows the medical professional to understand which supporter is more important. Note that if the support request information 743 does not have a priority, the information generating function 758 may generate supporter list information G152 that shows a list of related supporters. In other words, the information generating function 758 may generate supporter list information G152 that is not arranged in order according to priority.

[0079] The operation input function 759 accepts various operations. For example, the operation input function 759 accepts an operation to select a supporter in the supporter request information G15. The operation input function 759 is an example of an input unit. Furthermore, the operation input function 759 accepts an operation to press the support request button G153 in the supporter request information G15. That is, the operation input function 759 accepts an operation to press the support request button G153 from, for example, the display device 80.

[0080] The support request function 760 notifies the supporter selected by the operation input function 759 of the support request in the supporter request information G15. The support request function 760 is an example of a notification unit. For example, the support request function 760 notifies the supporter of the support request by sending an email requesting support to the supporter's terminal. Alternatively, the support request function 760 notifies the supporter of the support request by registering a plan for requesting support in the supporter's schedule. Note that these support request methods are merely examples, and the support request function 760 may request support by any method.

[0081] The setting function 761 sets various information for the medical event information 742 and the support request information 743. For example, the setting function 761 sets the importance of a medical event in the medical event information 742. The setting function 761 is an example of a first setting unit. The setting function 761 also sets the priority of a specialist who will serve as a supporter in the support request information 743. The setting function 761 is an example of a second setting unit. The setting function 761 may also set request conditions and specialists for medical events in the support request information 743, in addition to the importance and priority. The setting function 761 also adds and deletes medical events from the medical event information 742 and the support request information 743. This allows the setting function 761 to arbitrarily set the importance and priority for each facility, such as a hospital.

[0082] The support determination function 756 may estimate the time when the request condition will be met based on the patient characteristic information. For example, if the patient wishes to have a child, the support determination function 756 identifies the ovulation cycle based on the patient characteristic information. The support determination function 756 then estimates the time when the request condition will be met based on the ovulation cycle. This allows the support determination function 756 to determine an appropriate time for the request.

[0083] The setting function 761 may also set the request condition "emotions more negative than a threshold" for all medical events. Based on the patient characteristic information, the support determination function 756 determines that the request condition "emotions more negative than a threshold" is met if the emotion value that quantifies the patient's negative emotion is lower than the threshold, and determines that the request condition is met. The information generation function 758 generates supporter request information G15 that indicates a supporter other than the patient's physician who should be requested for support. For example, the information generation function 758 generates supporter request information G15 that indicates a supporter such as a psycho-oncology psychiatrist, clinical psychologist, cancer counselor, or cancer specialist nurse. This allows medical professionals to request support from a professional other than the patient's physician.

[0084] Next, various processes executed by the clinical support system 1 will be described.

[0085] 7 is a flowchart showing an example of support request processing executed by the clinical support device 70 according to this embodiment. The support request processing is processing for requesting support from a supporter.

[0086] The patient designation function 751 accepts designation of a patient to be the subject of the medical treatment schedule screen G1 (step S1).

[0087] 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).

[0088] The information acquisition function 752 acquires the medical interview information 12 (step S3).

[0089] The information acquisition function 752 acquires the conversation information 51 (step S4).

[0090] 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).

[0091] The clinical support device 70 executes the supporter determination process described later (step S6).

[0092] The information generating function 758 generates the medical treatment schedule screen G1 (step S7). Then, the information generating function 758 transmits the generated medical treatment schedule screen G1 to the display device 80 (step S8). As a result, the display device 80 displays the medical treatment schedule screen G1.

[0093] The support request function 760 determines whether or not an operation to request support from a supporter has been accepted on the medical treatment schedule screen G1 displayed on the display device 80 (step S9). If there is no support request (step S9; No), the support request function 760 ends the support request process.

[0094] If there is a support request (step S9; Yes), the support request function 760 requests support from a supporter (step S10).

[0095] With the above, the clinical support device 70 ends the support request process.

[0096] 8 is a flowchart showing an example of a supporter determination process executed by the clinical support device 70 according to this embodiment. The supporter determination process is a process for determining whether or not to request support from a supporter. The supporter determination process shown in FIG. 8 is a process for determining whether or not the medical event corresponds to "notification" based on the clinical test report information 42 and the radiology report information 21.

[0097] The medical event determination function 755 determines whether or not there is an examination order such as a clinical test order or an image diagnosis order (step S21). If there is no examination order (step S21; No), the clinical support device 70 ends the support determination process.

[0098] If an examination order exists (step S21; Yes), the medical care event determination function 755 determines whether the examination requested by the examination order has been performed (step S22). If the examination has not been performed (step S22; No), the clinical support device 70 ends the support determination process.

[0099] If the examination has been performed (step S22; Yes), the medical care event determination function 755 determines whether or not there is an examination report such as the clinical examination report information 42 or the image interpretation report information 21 (step S23). If there is no examination report (step S23; No), the clinical support device 70 ends the support determination process.

[0100] If there is an examination report (step S23; Yes), the medical event determination function 755 analyzes the examination report (step S24).

[0101] The medical event determination function 755 determines the medical event based on the analysis result of the examination report (step S25). In the supporter determination process shown in Fig. 8, it is determined whether or not the medical event corresponds to "notification".

[0102] The support determination function 756 determines whether a supporter is needed based on the patient characteristic information and the patient's medical event (step S26). In other words, the support determination function 756 determines whether the request conditions set for the medical event are met based on the patient characteristic information. If it is determined that a supporter is not needed (step S26; No), the clinical support device 70 ends the support determination process.

[0103] If it is determined that a support person is needed (step S26; Yes), the support person identification function 757 determines, based on the support request information 743, whether there are multiple professionals identified by the request conditions set for the medical event (step S27).

[0104] If there are not multiple professionals (step S27; No), the clinical support device 70 proceeds to step S29.

[0105] If there are multiple professionals (step S27; Yes), the information generation function 758 identifies the priority of each professional (step S28) based on the support request information 743. As a result, for example, the information generation function 758 generates supporter request information G15 that allows the user to select a professional to request support from in the order of priority indicated by the priority.

[0106] The supporter identification function 757 determines, based on the support request information 743, a professional person identified by the request conditions set for the medical event as a supporter to whom support should be requested (step S29).

[0107] With the above, the clinical support device 70 ends the support determination process.

[0108] As described above, the clinical support system 1 according to this embodiment acquires patient information, medical interview information 12, and conversation information 51 related to the patient. Furthermore, the clinical support system 1 generates patient characteristic information indicating psychological and social aspects of the patient through an analysis process using the patient information, medical interview information 12, and conversation information 51. Furthermore, the clinical support system 1 determines a supporter to request based on the patient characteristic information, the patient's medical event determined by the medical event determination function 755, and the request conditions set in the support request information 743. If the clinical support system 1 determines that the request conditions are met, it displays the medical schedule screen G1 requesting support. This allows medical professionals to consider whether to request support from each specialist. Therefore, the clinical support system 1 can support the decision on whether to request support from a specialist.

[0109] Furthermore, the clinical support system 1 allows medical professionals to request support from a specialist suited to each individual patient at a time that is appropriate for the patient. This reduces the burden on medical professionals and allows them to provide comprehensive, high-quality medical care to patients through supporters.

[0110] (Variation 1) 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.

[0111] 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.

[0112] 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.

[0113] This allows the feature analysis function 754 to analyze the patient in more detail, thereby enabling the clinical support device 70 to determine in more detail whether or not support should be requested.

[0114] (Variation 2) In this embodiment, the information generation function 758 generates the medical treatment schedule screen G1. Then, it has been explained that the display device 80 displays the medical treatment schedule screen G1. The information generation function 758 may display the medical treatment schedule screen G1 on the display 730 of the clinical support device 70, or may display it on another device.

[0115] According to at least one of the embodiments described above, it is possible to support a decision as to whether or not to request assistance from a professional.

[0116] 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]

[0117] 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 742 Medical Event Information 743 Support Request Information 751 Patient specification function 752 Information Acquisition Function 753 Analysis target specification function 754 Feature Analysis Function 755 Medical event determination function 756 Support Judgment Function 757 Supporter identification function 758 Information generation function 759 Operation Input Function 760 Support Request Function 761 Setting Function G1 Treatment Schedule Screen G11 Patient Profile Information G12 Schedule Information G13 Vital Sign Information G14 Supporter Request Button G15 Supporter Request Information G151 Message Information G152 Supporter List Information G153 Support Request Button

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 indicating psychological and social aspects of the patient by performing an analysis process using the patient information, the medical interview information, and the conversation information; a determination unit that determines at least one supporter to request support from based on the patient characteristic information, a medical event of the patient, and a request condition for requesting support in the medical event; a display control unit that displays a screen including information about the supporter determined by the determination unit; A clinical support system equipped with:

2. the display control unit displays information requesting support from a supporter. The clinical support system according to claim 1 .

3. the display control unit displays information including information about the supporter in association with the time when it was determined that the request condition was satisfied. The clinical support system according to claim 1 or 2.

4. the display control unit displays information for selecting a supporter from whom support should be requested, among the supporters registered for the request conditions. The clinical support system according to any one of claims 1 to 3.

5. the determination unit determines at least one supporter to request support from based on the patient characteristic information, the medical event, the importance of the medical event, and the request conditions; The clinical support system according to any one of claims 1 to 4.

6. the display control unit displays a list of supporters from whom support should be requested based on the priority of the supporters. The clinical support system according to any one of claims 1 to 5.

7. an input unit that receives an input for selecting a supporter to request support from; a notification unit that notifies the supporter selected by the input unit of a support request; The clinical support system according to any one of claims 1 to 6.

8. a first setting unit that sets the importance of the medical event; The clinical support system according to claim 5 .

9. Further provided is a second setting unit that sets the priority of the supporter. The clinical support system according to claim 6.

10. 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 indicating psychological and social aspects of the patient by performing an analysis process using the patient information, the medical interview information, and the conversation information; a determination unit that determines at least one supporter to request support from based on the patient characteristic information, a medical event of the patient, and a request condition for requesting support in the medical event; an information generating unit that generates a screen including information about the supporter determined by the determining unit; A clinical support device comprising:

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