Medical diagnosis support apparatus, medical diagnosis support method and program

Abstract

To support diagnosis performed by a physician by presenting information having no correlation between a chief complaint of a patient and an inspection result.SOLUTION: A medical diagnosis support apparatus according to an embodiment comprises an information acquisition unit, a correlation comparison unit, and a display control unit. The information acquisition unit acquires chief complaint information representing a chief complaint declared by a patient and inspection information representing a result of inspection performed for the patient. The correlation comparison unit compares between the chief complaint information and the inspection information, and outputs comparison result information representing whether or not there is correlation between the chief complaint information and the inspection information. The display control unit generates display data for presenting each of the chief complaint information, the inspection information and the comparison result information to cause a display device to display the data.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The embodiments disclosed in this specification and the drawings relate to a medical diagnosis support apparatus, a medical diagnosis support method, and a program. [Background technology]

[0002] Traditionally, in hospitals and other medical institutions, the illnesses that patients suffer from have been treated using SOAP (Subjective, Objective, Assessment, Plan). In other words, doctors at the hospital make an assessment (analysis, consideration) based on subjective information about the patient's main complaint, such as information obtained through interviews with the patient or information filled in by the patient on a medical questionnaire, and objective information, such as the patient's test results and examination results, to make a definitive diagnosis of the illness that the patient suffers from and to create a treatment plan to treat the illness.

[0003] At this time, the patient will report to the doctor the details of their poor health (information such as when the symptoms started, what they felt like, and how frequently they occurred) as their main complaint, but this main complaint is based on the patient's personal subjective opinion (physical condition, mood, pain), and may not be logically related to date, time, or behavior. Meanwhile, although the patient's test results are expressed as clear numerical values, the causes cannot be determined from the numerical values ​​of the test results alone. For this reason, the doctor must analyze and make inferences to identify the disease the patient is suffering from based on the patient's report (main complaint) and the doctor's own examination (observation). At this time, the doctor may identify the disease the patient is suffering from based on his or her own experience.

[0004] However, with the conventional SOAP method, for example, it may take a long time for the doctor to identify the disease (definitive diagnosis), or the doctor may identify the wrong disease. This may be caused by, for example, the patient forgetting what should be declared as the chief complaint, or the patient having symptoms that they are not aware of, or for some other reason, the contents of the patient's declaration (chief complaint) and the results of the examination or examination may not match. Furthermore, the same thing may happen when the doctor in charge of the patient has little experience. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Patent No. 7225401 Summary of the Invention [Problem to be solved by the invention]

[0006] The problem to be solved by the embodiments disclosed in this specification and the drawings is to support doctors in making diagnoses by presenting information that is not correlated with the patient's main complaint and the test results. However, the problem to be solved by the embodiments disclosed in this specification and the drawings is 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]

[0007] The medical diagnosis support device of the embodiment has an information acquisition unit, a correlation comparison unit, and a display control unit. The information acquisition unit acquires chief complaint information indicating a chief complaint declared by a patient and test information indicating a result of a test performed on the patient. The correlation comparison unit compares the chief complaint information with the test information, and outputs comparison result information indicating whether or not there is a correlation between the chief complaint information and the test information. The display control unit generates display data for presenting each of the chief complaint information, the test information, and the comparison result information, and displays the data on a display device. [Brief description of the drawings]

[0008] [Figure 1] 1 is a diagram showing an example of a functional configuration of a medical diagnosis support device according to an embodiment and an example of a usage environment of the medical diagnosis support device; [Diagram 2] 5A and 5B are diagrams showing an example of combination information generated by the medical diagnosis support apparatus according to the embodiment. [Diagram 3] 5A and 5B are diagrams showing an example of numerical information generated by the medical diagnosis support apparatus according to the embodiment. [Figure 4] 5 is a diagram showing an example of a comparative evaluation process executed in a comparative evaluation function included in the medical diagnosis support apparatus according to the embodiment; FIG. [Diagram 5] FIG. 4 is a sequence diagram showing an example of a processing flow in the medical diagnosis support device according to the embodiment. [Figure 6] FIG. 4 is a diagram showing an example of a display screen when the medical diagnosis support apparatus according to the embodiment provides information. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, a medical diagnosis support device, a medical diagnosis support method, and a program according to an embodiment will be described with reference to the drawings. The medical diagnosis support device is, for example, a device that supports a doctor's diagnosis of a patient who has come to a medical institution such as a hospital for a medical examination.

[0010] FIG. 1 is a diagram showing an example of a functional configuration of a medical diagnosis support device according to an embodiment and an example of a usage environment of the medical diagnosis support device. The medical diagnosis support device 100 acquires information on a subjective complaint transmitted by a patient and objective information such as information on the patient's examination results, and evaluates the correlation (presence or absence of a causal relationship) between the respective pieces of information. The medical diagnosis support device 100 may also acquire information on the doctor's examination results of the patient as objective information, and evaluate the correlation between the respective pieces of information together with this information. Based on the result of evaluating the correlation between the respective pieces of information, the medical diagnosis support device 100 presents to the doctor information that is not correlated between the subjective complaint information and the objective information. In this way, the medical diagnosis support device 100 supports the doctor in diagnosing the patient. At this time, the medical diagnosis support device 100 may suggest additional questions (interviews) that the doctor may ask the patient about later, or treatment, based on the result of evaluating the correlation between the subjective complaint information and the objective information. In the following explanation, the medical diagnosis support device 100 is configured to acquire information on the patient's test results and information on the doctor's examination results as objective information, and present suggestions to the doctor together with information that is not correlated between the subjective chief complaint information and the objective information.

[0011] The medical diagnosis support device 100 is realized by a computer device such as a personal computer (PC) installed in a consultation room of a hospital. When the medical diagnosis support device 100 is realized by a personal computer, a display device such as a display for presenting information to a doctor, an input interface for the doctor to operate the medical diagnosis support device 100 and input information, and the like are connected to the medical diagnosis support device 100. The display device and the input interface may be connected to the medical diagnosis support device 100 by wireless communication. The medical diagnosis support device 100 may be realized by a server device on a network (not shown). In this case, at least a display device and an input interface are required to be installed in the consultation room, and the server device, which is a main device of the medical diagnosis support device 100, communicates with the display device and the input interface via a network (not shown). Furthermore, the medical diagnosis support device 100 may be realized by a server device in which only some of the functions described later are realized, and in this case, the server device, which is a main device of the medical diagnosis support device 100, and the server device in which some of the functions are realized communicate with each other via a network (not shown). The network (not shown) includes, for example, the Internet, a wide area network (WAN), a local area network (LAN), a provider device, a wireless base station, and the like.

[0012] The input interface is realized by, for example, a mouse, a keyboard, a touch panel, a microphone, etc. When the input interface is a touch panel, the input interface may be formed integrally with a display device connected to the medical diagnosis support device 100. In this specification, the input interface is not limited to an interface having physical operation parts such as the above-mentioned mouse and keyboard. For example, an example of the input interface also includes an electrical signal processing circuit that receives an electrical signal corresponding to an input operation from an external input device provided separately from the medical diagnosis support device 100 and outputs the electrical signal to the medical diagnosis support device 100.

[0013] [Functional configuration of medical diagnostic support device] The medical diagnosis support device 100 includes, for example, a processing circuit 110. The processing circuit 110 executes processes such as an information acquisition function 120, a correlation comparison function 130, a treatment suggestion function 140, and a display control function 150. The information acquisition function 120 executes processes such as a chief complaint acquisition function 122, an event determination function 124, and a test result acquisition function 126. The correlation comparison function 130 executes processes such as a clinical name determination function 132, a clinical name numerical value setting function 134, and a comparison evaluation function 136.

[0014] The processing circuit 110, for example, realizes the functions of an information acquisition function 120 (including a chief complaint acquisition function 122, an event determination function 124, and a test result acquisition function 126), a correlation comparison function 130 (including a clinical name determination function 132, a clinical name numerical value setting function 134, and a comparison evaluation function 136), a response suggestion function 140, and a display control function 150, by a hardware processor executing a program (software) stored in a memory (storage unit) (not shown). The memory (not shown) is realized by, for example, a semiconductor memory element such as a ROM (Read Only Memory), a RAM (Random Access Memory), or a flash memory, a hard disk drive (HDD), an optical disk, or the like.

[0015] The hardware processor means a circuit such as a central processing unit (CPU), a graphics processing unit (GPU), an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD) or a complex programmable logic device (CPLD), or a field programmable gate array (FPGA)). Instead of storing a program in a memory (not shown), the program may be directly built into the circuit of the hardware processor. In this case, the hardware processor realizes each function by reading and executing the program built into the circuit. The hardware processor is not limited to being configured as a single circuit, and may be configured as one hardware processor by combining multiple independent circuits to realize each function. Multiple components may be integrated into one hardware processor to realize each function. Multiple components may be built into one dedicated LSI to realize each function. Here, the program (software) may be stored in advance in a storage device (storage device with a non-transient storage medium) constituting a storage device such as a ROM, RAM, a semiconductor memory element such as a flash memory, or a hard disk drive (HDD), or may be stored in a removable storage medium (non-transient storage medium) such as a DVD or CD-ROM, and may be installed in the storage device of the medical diagnosis support apparatus 100 by mounting the storage medium in a drive device of the medical diagnosis support apparatus 100. The program (software) may be downloaded in advance from another computer device via a network (not shown) and installed in the storage device of the medical diagnosis support apparatus 100.The program (software) installed in the storage device included in the medical diagnosis support apparatus 100 may be transferred to a processing circuit included in the medical diagnosis support apparatus 100 and executed therein.

[0016] The information acquisition function 120 extracts disease-related events included in the information on the main complaint reported by the patient, and outputs the extracted event information (hereinafter referred to as “event information”) to the correlation comparison function 130. Furthermore, the information acquisition function 120 acquires information on the patient's test results and information on the doctor's examination results of the patient (hereinafter referred to as “examination information”), and outputs the acquired examination information to the correlation comparison function 130.

[0017] The chief complaint acquisition function 122 acquires information on the chief complaint reported by the patient (hereinafter referred to as "chief complaint information"). The chief complaint information includes, for example, information indicating the content of the poor physical condition that caused the patient to come to the hospital for a medical examination (information such as when the symptoms started, what kind of symptoms they felt, and how frequently they occurred). If the patient visits the hospital regularly, the chief complaint information includes, for example, information indicating the implementation status of matters instructed by the doctor in the previous examination (taking prescribed medicine, exercising, etc.). The chief complaint information may include information on the attributes of the patient, such as the patient's name, age, and sex. In this case, the chief complaint acquisition function 122 may acquire information on the patient from, for example, a medical image management system (PACS: Picture Archiving and Communication Systems) that manages data on medical images, which is connected via a network not shown, or a recording device that records data such as test results from previous examinations of the patient and medical records (electronic medical records) from medical treatment of the patient. The chief complaint acquisition function 122 may acquire subjective information on the patient reported by the doctor. The subjective information about the patient reported by the doctor is information obtained from the patient's family when the doctor examines the patient or information that describes the condition of the examined patient. The subjective information about the patient reported by the doctor is an example of "patient information."

[0018] The chief complaint acquisition function 122 may acquire the chief complaint information in any manner. For example, the chief complaint information may be information written by the patient on a questionnaire by a doctor or a receptionist of the medical examination, which is input to the medical diagnosis support device 100 by operating an input interface. In this case, the chief complaint acquisition function 122 acquires the chief complaint information input by the input interface. For example, when a questionnaire is displayed on a terminal device (e.g., a tablet terminal) equipped with a display device and an input interface capable of wireless communication with the medical diagnosis support device 100 and the patient inputs the information into the terminal device to conduct the medical examination, the chief complaint acquisition function 122 may acquire the information input by the patient and transmitted by the terminal device as the chief complaint information. For example, when the voice uttered by the patient can be collected by a microphone installed in the examination room and connected to the medical diagnosis support device 100 or a microphone equipped in the terminal device, the chief complaint acquisition function 122 may acquire the voice information uttered by the patient into the microphone as the chief complaint information. 1 shows a schematic diagram of a state in which, for example, information entered by a patient on a medical questionnaire, information transmitted by a terminal device, and voice spoken into a microphone are acquired as chief complaint information. The chief complaint acquisition function 122 outputs the acquired chief complaint information to the event determination function 124.

[0019] The event determination function 124 determines an event related to the current consultation based on the chief complaint information output by the chief complaint acquisition function 122. An event is a word that represents a matter to be focused on in the current consultation, which can be determined by clarifying the 5W1H information included in the chief complaint information, that is, when, where, who, what, why, and how. For this reason, the event determination function 124 extracts text that represents the contents of the chief complaint, which is included in the chief complaint information output by the chief complaint acquisition function 122. If the chief complaint information is, for example, information entered by a patient on a questionnaire input into the medical diagnosis support device 100 by a doctor or a receptionist operating an input interface, or information input into a terminal device by the patient, the event determination function 124 extracts the text using an existing character recognition technology. If the chief complaint information is, for example, a voice uttered by a patient picked up by a microphone, the event determination function 124 converts the patient's voice into text (textualization) using an existing voice recognition technology to extract the text. Then, the event determination function 124 determines an event based on the data of the extracted text. At this time, the event determination function 124 may perform morphological element analysis on the text using, for example, a function of natural language processing or context analysis in AI (Artificial Intelligence), and then perform syntax analysis, semantic analysis, context analysis, etc. to determine the event represented by the extracted text.

[0020] For example, if the patient's chief complaint is "I am taking insulin injections every day as prescribed," the event determination function 124 determines as events words expressing matters such as when = "every day," who = "patient," what = "prescribed insulin injection," and how = "taking, i.e., injecting."

[0021] The event determiner 124 outputs event information representative of the determined event to a correlation comparator 130 (more specifically, a clinical designation determiner 132).

[0022] The examination result acquisition function 126 acquires examination information. More specifically, the examination result acquisition function 126 acquires information on the examination results performed on the patient and information (text) on the examination results of the doctor examining the patient. The examination result information includes, for example, the numerical values ​​of each examination item of the blood test performed on the patient. The examination result information includes medical images taken by medical image diagnostic devices, such as CT images taken by a computed tomography (CT) device, MR images taken by a magnetic resonance imaging (MRI) device, and ultrasound images (echo images) taken by an ultrasound diagnostic device (and may also be text information indicating findings diagnosed by a doctor or the like based on the medical images). The examination result information includes, for example, the state of the patient observed by the doctor and the examination results of the doctor who examined the patient.

[0023] The examination result acquisition function 126 may acquire examination information by any method. For example, when acquiring values ​​of examination items as examination information, the examination result acquisition function 126 may acquire them directly from an examination device in which the values ​​of the examination items are recorded (registered) or via a network (not shown). For example, when acquiring medical images as examination information, the examination result acquisition function 126 may acquire them directly from a medical image diagnostic device such as a CT device, an MRI device, or an ultrasound diagnostic device or via a network (not shown), or may acquire medical images (which may include information on the time of shooting and the doctor's findings) once recorded in a medical image management system (PACS) from a medical image diagnostic device via a network (not shown). For example, when acquiring information on a doctor's examination results as examination information, the examination result acquisition function 126 may acquire information (text information) input by the doctor by operating an input interface, or may acquire audio information obtained by collecting the voice of the doctor into a microphone and converting it into text (textualization). The examination result acquisition function 126 may be configured to output the acquired examination information to the event determination function 124 and acquire text information converted (textualized) into text by the event determination function 124. FIG. 1 typically illustrates a state in which examination information is acquired from, for example, an examination device or a terminal device (e.g., a tablet terminal) to which findings on a medical image (CT image) captured by a CT device are input. FIG. 1 also typically illustrates a state in which examination information is acquired based on, for example, information input by a doctor to an input interface or the doctor's voice picked up by a microphone. The examination result acquisition function 126 outputs the acquired examination information to the correlation comparison function 130 (more specifically, the comparison evaluation function 136).

[0024] The information acquisition function 120, the chief complaint acquisition function 122, the event determination function 124, and the test result acquisition function 126 are examples of an "information acquisition section."

[0025] The correlation comparison function 130 compares the correlation between the patient's chief complaint and the test results based on the event information and test information output by the information acquisition function 120, and outputs information representing the results of the comparison (hereinafter referred to as "correlation information") to the display control function 150.

[0026] The clinical name determination function 132 determines a clinical name for linking the medical meaning included in the chief complaint declared by the current patient based on the event information output by the event determination function 124. The medical meaning is information confirmed by a doctor in diagnosing the patient, such as "insulin injection," "every day," "injecting (injecting)," etc. The clinical name determination function 132 generates combination information corresponding to the current patient, linking the event with the clinical name.

[0027] Here, an example of combination information generated by the clinical name determination function 132 will be described. FIG. 2 is a diagram showing an example of combination information generated by the medical diagnosis support device 100 (more specifically, the clinical name determination function 132) according to the embodiment. FIG. 2 shows an example of a case where "target", "action", "execution status", and "period" are combined as items of combination information. "Target" in the combination information is an example of an "event". "Action", "execution status", and "period" in the combination information are examples of "clinical names". "Execution status" and "period" are also examples of "contents linked to events". FIG. 2 shows an example of a case where each of the events of "insulin", "alcohol", and "headache" is shown as information of "target", and each of the events is linked to clinical names of "action", "execution status", and "period" (including the contents of the events). More specifically, FIG. 2 shows an example of a case where, for example, "target (event)" = "insulin" is linked to "action (clinical name)" = "injection," "execution status (event content)" = "executed," and "period (event content)" = "everyday." Furthermore, FIG. 2 shows an example of a case where, for example, "target (event)" = "alcohol" is linked to "action (clinical name)" = "drinking," "execution status (event content)" = "not done," and "period (event content)" = "everyday." Furthermore, FIG. 2 shows an example of a case where, for example, "target (event)" = "headache" is linked to "action (clinical name)" = "bruise or fall," "execution status (event content)" = "none," and "period (event content)" = "within one week."

[0028] Returning to FIG. 1, when generating combination information, the clinical name determination function 132 may refer to a combination database configured to link various clinical names (including the contents of the events) to events in advance. FIG. 1 shows an example of a configuration in which the clinical name determination function 132 generates combination information by referring to the combination database CDB. In the combination database CDB, for example, one or more pieces of information on "action (clinical name)", "execution status (content of the event)", and "period (content of the event)" are associated with a plurality of "targets (events)". For example, when the "target (event)" is "alcohol", "drinking" is associated as the "action (clinical name)", "not drinking" or "doing" is associated as the "execution status (content of the event)", and "doing" is further associated with "everyday", "five days a week", "three days a week", "two days a week", "one day a week", "Saturday and Sunday only", etc. as the "period (content of the event)". For the "execution status (event content)" of "doing", "one bottle of wine" or "one bottle of beer" may be further associated as the "amount of alcohol consumed (event content)". The clinical name determination function 132 can generate combination information corresponding to the current patient by selecting a combination of clinical names (including the event content) associated in the combination database CDB for each event included in the event information output by the event determination function 124. This allows the clinical name determination function 132 to link a medical meaning to the chief complaint declared by the patient.

[0029] The clinical name determination function 132 may be configured to add, for example, a clinical name (including the content of the event) input by a doctor through an operation of an input interface to the generated combination information.

[0030] The clinical name determination function 132 outputs combination information linking an event corresponding to the current patient with a clinical name (including the content of the event) as shown in FIG. 2 to the clinical name value setting function 134 and the comparison evaluation function 136. At this time, the clinical name determination function 132 outputs combination information in which a value can be set for the combination of the event and clinical name (including the content of the event) linked in the combination information to the clinical name value setting function 134. On the other hand, the clinical name determination function 132 outputs combination information in which a value cannot be set for the combination of the event and clinical name (including the content of the event), that is, combination information consisting only of text (character) information, to the comparison evaluation function 136. In the combination information shown in FIG. 2, "target (event)" = "insulin" and "alcohol" are combination information in which a value can be set, and "target (event)" = "headache" is combination information consisting only of text (character) information. Therefore, the clinical name determination function 132 outputs the combination information of “subject (event)” = “insulin” and “alcohol” from the combination information shown in FIG. 2 to the clinical name numerical setting function 134, and outputs the combination information of “subject (event)” = “headache” to the comparison evaluation function 136.

[0031] The clinical name value setting function 134 sets a value corresponding to the clinical name based on each of the event and the clinical name (including the content of the event) included in the combination information output by the clinical name determination function 132. In other words, the clinical name value setting function 134 sets a value for the medical meaning expressed by the clinical name (including the content of the event). The clinical name value setting function 134 generates numerical information corresponding to the current patient, in which a numerical value is set for the medical meaning (clinical name).

[0032] Here, an example of the numerical information generated by the clinical nominal value setting function 134 will be described. FIG. 3 is a diagram showing an example of the numerical information generated by the medical diagnosis support device 100 (more specifically, the clinical nominal value setting function 134) according to the embodiment. FIG. 3 shows an example of a case where "numerical target", "standard", and "effect" are set as items of numerical information for each of "target (event)" = "insulin" and "alcohol" in the combination information shown in FIG. 2. FIG. 3 shows an example of a case where "numerical target" = "predicted blood glucose value", "fasting blood glucose value", and "hemoglobin A1C (HbA1C)" and their "standard" and "effect" are set as numerical information for "target (event)" = "insulin". More specifically, an example of a case where "126 mg / d" is set as the "standard" for "numerical target" = "predicted blood glucose value" and "predicted value error within 10%" is set as the "effect". The value of this "standard" is set by referring to a numerical value obtained from information based on instructions for past medication, for example. For example, if a doctor instructs a patient to inject 6 units of insulin in the morning, 6 units in the afternoon, 6 units in the evening, and 12 units before going to bed, 1700÷30 is ≒ 56.7, which is the value when the insulin effect value (ISF value) is assumed to be 50 mg / d. In this case, if the patient visits the hospital in the morning, it can be predicted that the blood glucose level should have decreased by 50 mg / d*6=300 mg / d because 6 units of insulin were injected in the morning. Therefore, if the patient's past blood glucose level was 426 mg / d, it is set as 426-300 mg / d=126 mg / dL. This shows an example of a case where "<110 mg / dL" is set as the "criterion" for "numerical target" = "fasting blood glucose level" and "within the standard" is set as the "effect". The "criterion" value is set, for example, based on the combination information.In the numerical information shown in FIG. 3, since "Action (clinical name)" = "Injection", "Execution status (content of event)" = "Implemented", and "Period (content of event)" = "Every day" are linked to "Target (event)" = "Insulin" corresponding to the combination information, "<110 mg / dL" is set as the fasting blood glucose value. An example is shown in which "<5.6%: Normal, 5.6-5.9%: Caution required, 6.0-6.4%: Possible diabetes, ≧6.5%: Diabetes" are set as the "Standard" for "Numerical target" = "HbA1C", and "Corresponds to any value" is set as the "Effect". The value of this "Standard" is set based on the guideline for determining diabetes in HbA1C (National Glycohemoglobin Standardization Program: NGSP), for example. Furthermore, FIG. 3 shows an example in which, for example, as numerical information for the "subject (event)" = "alcohol," the "numerical target" = "ALT (GPT)" and "γ-GTP" are set, along with their "standard" and "effect." More specifically, an example is shown in which "4 to 44 IU / L" is set as the "standard" for the "numerical target" = "ALT (GPT)," and "within the standard" is set as the "effect." An example is shown in which "male: 80 IU / L or less, female: 30 IU / L or less" is set as the "standard" for the "numerical target" = "γ-GTP," and "within the standard" is set as the "effect." These "standard" values ​​are set based on the guidelines for determining liver dysfunction.

[0033] Returning to FIG. 1, when generating the numerical information, the clinical name numerical value setting function 134 may refer to a numerical information database in which, for example, various numerical objects are set for events and clinical names (including the contents of the events), and standards and effects are set in advance for the numerical objects. FIG. 1 shows an example of a configuration in which the clinical name numerical value setting function 134 generates numerical information by referring to the numerical information database NDB. For example, the numerical information database NDB associates one or more pieces of information of "numerical objects," "standards," and "effects" as shown in the numerical information shown in FIG. 3 with a plurality of "objects (events)." The clinical name numerical value setting function 134 can generate numerical information corresponding to the current patient by selecting information of "numerical objects," "standards," and "effects" associated in the numerical information database NDB for each combination of events included in the combination information output by the clinical name determination function 132. This allows the clinical name numerical value setting function 134 to set a numerical value for the medical meaning represented by the chief complaint declared by the patient.

[0034] The clinical nominal value setting function 134 outputs, for example, numerical value information corresponding to the current patient, such as that shown in FIG.

[0035] The comparison evaluation function 136 compares the combination information output by the clinical name determination function 132 or the numerical information output by the clinical name numerical value setting function 134 with the test information output by the test result acquisition function 126 to evaluate the correlation (presence or absence of causal relationship) between each piece of information. More specifically, the comparison evaluation function 136 evaluates the correlation by comparing the text (character) information included in the combination information with the text information included in the test information, such as the state of the patient observed by the doctor and the examination results of the doctor who examined the patient. Furthermore, the comparison evaluation function 136 evaluates the correlation by comparing the reference numerical value corresponding to the numerical object included in the numerical information with the information (numerical value) of the test results performed on the patient included in the test information.

[0036] Here, an example of the process of evaluating the comparison and correlation performed by the comparative evaluation function 136 (hereinafter, referred to as the "comparative evaluation process") will be described. FIG. 4 is a diagram showing an example of the comparative evaluation process performed by the comparative evaluation function 136 included in the medical diagnosis support device 100 according to the embodiment. FIG. 4(a) shows an example of the numerical value information output by the clinical name numerical value setting function 134 and the combined information output by the clinical name determination function 132. In FIG. 4(a), the information of "subject (event)" = "insulin" and "alcohol" corresponds to the numerical value information shown in FIG. 3, and the information of "subject (event)" = "headache" corresponds to the combined information shown in FIG. 2. FIG. 4(b) to (e) show an example of the test information output by the test result acquisition function 126. (a) to (d) in Fig. 4 are examples of information on the results of examinations performed on a patient, and (e) in Fig. 4 is an example of text information showing findings diagnosed by a doctor or the like based on medical images taken by medical imaging diagnostic devices such as a CT device, an MRI device, an ultrasound diagnostic device, etc. Here, (d) in Fig. 4 is an example of information on examination results (this, last, and the time before last) including past examinations performed on the patient, and for example, even if the contents of the patient's main complaint remain unchanged, correlations can be evaluated including past examinations.

[0037] The comparative evaluation function 136 evaluates the correlation by comparing with the corresponding test information for each "subject (event)" shown in (a) of FIG. 4. In FIG. 4, there is a difference between the "numerical object" = "predicted blood glucose level" of the "subject (event)" = "insulin" shown in (a) of FIG. 4 and the "blood glucose level" in each test result (current test result) in (b) to (d) of FIG. 4. For this reason, the comparative evaluation function 136 evaluates that the "numerical object" = "predicted blood glucose level" of the "subject (event)" = "insulin" has "no correlation" with each test result (current test result) in (b) to (d) of FIG. 4. Furthermore, in FIG. 4, there is a difference between each of the "numerical object" = "ALT (GPT)" and "γ-GTP" of the "subject (event)" = "alcohol" shown in (a) of FIG. 4 and each of the "ALT (GPT)" and "γ-GTP" in the test result in (b) of FIG. 4. For this reason, the comparative evaluation function 136 evaluates that the "numerical object" = "ALT (GPT)" and "γ-GTP" of the "subject (event)" = "alcohol" respectively have "no correlation" with the test result in FIG. 4(b). On the other hand, in FIG. 4, there is no difference between the "numerical object" = "ALT (GPT)" and "γ-GTP" of the "subject (event)" = "alcohol" shown in FIG. 4(a) and the "ALT (GPT)" and "γ-GTP" of the test result in FIG. 4(c). For this reason, the comparative evaluation function 136 evaluates that the "numerical object" = "ALT (GPT)" and "γ-GTP" of the "subject (event)" = "alcohol" respectively have "correlation" with the test result in FIG. 4(c). Furthermore, in FIG. 4, there is a difference between each of the "Action (clinical name)" = "bruise or fall", "Execution status (content of the event)" = "none", and "Period (content of the event)" = "within one week" in the "Subject (event)" = "headache" shown in FIG. 4(a) and the examination result (the findings of a doctor or the like who diagnosed based on medical images) in FIG. 4(e). In other words, the patient's chief complaint and the findings of a doctor or the like are in an antonymous relationship. For this reason, the comparison evaluation function 136 evaluates that each of the "Action (clinical name)" = "bruise or fall", "Execution status (content of the event)" = "none", and "Period (content of the event)" = "within one week" in the "Subject (event)" = "headache" as "not correlated" with the examination result in FIG. 4(e).

[0038] Here, a specific example of a chief complaint and a test result that the comparison evaluation function 136 evaluates as "not correlated" will be described.

[0039] (Specific example 1): When the main complaint is "I am taking insulin injections every day as prescribed," if the test results show that "the blood glucose level (FPG) is high, and the fasting blood glucose level exceeds 126 mg / dL," the comparison evaluation function 136 evaluates that there is "no correlation" for this main complaint. (Specific example 2): When the main complaint is "I am not drinking alcohol," if the test result shows that "the blood levels of ALT (GPT) and γ-GTP are high" for this main complaint, the comparison evaluation function 136 evaluates that there is "no correlation." (Specific example 3): In the case where the chief complaint is "I am taking the prescribed blood pressure medication every day properly," if the test results show that "blood pressure remains high, or the maximum blood pressure is 140 mmHg or more and the minimum blood pressure is 90 mmHg or more," the comparison evaluation function 136 will evaluate the chief complaint as "no correlation." (Specific example 4): In the case where the chief complaint is "I am not smoking. I am continuing to quit smoking.", if the test results for this chief complaint are "increased hemoglobin and hematocrit values, increased tumor marker (CEA) values, increased triglyceride values ​​and LDL values, and increased HDL values," the comparative evaluation function 136 evaluates it as "no correlation." (Specific example 5): When the main complaint is "weight gain, nausea, and feeling unwell. Menstruation has not come for several months. No sexual intercourse with the opposite sex has occurred for several months," if the test result for this main complaint is "positive for hCG in urine," the comparison evaluation function 136 evaluates it as "no correlation." (Specific example 6): When the main complaint is "I ate a low-carbohydrate meal. I am trying to do so," if the test result shows that "fasting blood glucose level (FPG, HbA1c) is high" for this main complaint, the comparison evaluation function 136 evaluates that there is "no correlation." (Specific example 7): In a case where the chief complaint is "My head hurts, but I haven't hit it on anything," and the examination result shows "minor cerebral hemorrhage or cerebral edema" for this chief complaint, the comparison evaluation function 136 evaluates it as "no correlation." (Specific example 8): In the case where the chief complaint is "there is no subjective symptom of fever or respiratory tract symptoms," if the test results confirm "fever or inflammation (CRP value exceeds the standard value)" for this chief complaint, the comparison evaluation function 136 evaluates it as "no correlation." (Specific example 9): In a case where the patient's main complaint is "visited the hospital due to painful urination and discomfort in the urethra. No relevant events can be thought of," if the test results for this complaint are "Chlamydia antibodies: IgA positive, IgG positive, and the infection occurred more than one month ago and is still ongoing," the comparative evaluation function 136 evaluates the patient as "no correlation." (Specific example 10): When the chief complaint is "I am trying to lose weight. I am only eating buckwheat noodles," and the test result for this chief complaint is "My weight has increased by 5 kg since last month," the comparison evaluation function 136 evaluates it as "no correlation."

[0040] In addition to this, there are several specific examples of chief complaints and test results that the comparative evaluation function 136 evaluates as having “no correlation.”

[0041] Returning to Fig. 1, the comparative evaluation function 136 outputs information representing the results of comparative evaluation processing based on the combination information or numerical information and the test information (hereinafter referred to as "comparative evaluation result information") to each of the countermeasure suggestion function 140 and the display control function 150. In addition to information representing whether or not there is a correlation between the numerical information and the test result, the comparative evaluation result information may include, for example, value information representing the magnitude of the difference between the numerical values ​​of a standard and the test result in a numerical target, information representing the result of confirming a synonymous or antonymous relationship between the numerical information and the test result, and information representing whether or not the current test result has changed from the previous test result.

[0042] The correlation comparison function 130, clinical name determination function 132, clinical name numerical value setting function 134, and comparison evaluation function 136 are an example of a "correlation comparison section." The clinical name determination function 132 is an example of a "clinical name determination section," the clinical name numerical value setting function 134 is an example of a "clinical name numerical value setting section," and the comparison evaluation function 136 is an example of a "comparison evaluation section." The comparison evaluation result information is an example of "comparison result information."

[0043] The response suggestion function 140 considers and proposes possible responses that the doctor may take to identify (definitively diagnose) the disease that the patient suffers from, based on the comparative evaluation result information output by the comparative evaluation function 136. For example, the response suggestion function 140 proposes additional questions (interviews) that the doctor will ask the patient in order to search for (estimate) the cause of the lack of correlation for items that are evaluated in the comparative evaluation function 136 as having no correlation. For example, the response suggestion function 140 proposes candidates for the next treatment that the doctor will administer to the patient for items that are evaluated in the comparative evaluation function 136 as having no correlation between numerical information and test results. The consideration of the proposal contents in the response suggestion function 140 may be performed, for example, using existing clinical decision support (Clinical Decision Support) technology. FIG. 1 shows an example of a configuration in which the response suggestion function 140 cooperates with a clinical decision support system CDS to consider and propose additional questions (interviews) and future treatments. The treatment suggestion function 140 proposes either or both of the following: additional questions (interviews) and candidates for the next treatment to be performed on the patient. The treatment suggestion function 140 outputs information representing the proposal contents (hereinafter, referred to as "proposal information") to the display control function 150.

[0044] The action suggestion function 140 is an example of a “action suggestion unit.” The additional question (hearing) content is an example of the “content of additional information,” and the next action candidate is an example of a “action candidate.”

[0045] The display control function 150 generates a display image for providing the comparative evaluation result information output by the correlation comparison function 130 (more specifically, the comparative evaluation function 136) to the doctor. When the proposed information is output by the treatment proposal function 140, the display control function 150 generates a display image for providing the proposed information to the doctor in addition to the comparative evaluation result information. The display control function 150 displays the generated display image on a display device to provide the comparative evaluation result information and the proposed information to the doctor. At this time, the display control function 150 may make each piece of information included in the comparative evaluation result information and the proposed information easier for the doctor to recognize. For example, the display control function 150 may change the color of the information depending on whether there is a correlation between the numerical information and the test result, or may display the color of information that the doctor should pay attention to, such as more important information, in a color different from the color of other information already provided. For example, when the proposed information includes a plurality of questions (interviews) and future treatments, the display control function 150 may display them in order of priority, or may display them in different colors according to the priority. The display device on which the display control function 150 displays the display image is, for example, an LCD (Liquid Crystal Display), etc. Fig. 1 shows a schematic diagram of a state in which a display image is output to a display device connected to the medical diagnosis support device 100.

[0046] The display control function 150 is an example of a “display control unit.” The display image is an example of “display data.”

[0047] [Processing by medical diagnostic support device] Next, a description will be given of the overall operation of the medical diagnosis support device 100. Fig. 5 is a sequence diagram showing an example of a processing flow in the medical diagnosis support device 100 according to the embodiment. In the processing of this sequence diagram, the processing of each function is repeatedly executed in the processing circuit 110 included in the medical diagnosis support device 100 while a doctor is examining a patient.

[0048] When the medical diagnosis support device 100 starts processing by a patient visiting the hospital and writing down a chief complaint on a medical questionnaire, the processing circuit 110 acquires information on the chief complaint declared by the patient (chief complaint information) by the chief complaint acquisition function 122 in the information acquisition function 120 (step S100). Then, the chief complaint acquisition function 122 outputs the acquired chief complaint information to the event determination function 124 in the information acquisition function 120. In response, the event determination function 124 determines an event related to the current examination of the patient from a word expressing a matter to be noted that is included in the chief complaint information output by the chief complaint acquisition function 122. Then, the event determination function 124 outputs the event information expressing the determined event to the clinical name determination function 132 in the correlation comparison function 130 (step S102).

[0049] The processing circuit 110 determines a clinical name for linking the medical meaning included in the chief complaint declared by the current patient by using the clinical name determination function 132 in the correlation comparison function 130 based on the event information output by the event determination function 124, for example by referring to the combination database CDB (step S200). Then, the clinical name determination function 132 generates combination information linking the event corresponding to the current patient with the determined clinical name (including the content of the event), and outputs the generated combination information to each of the clinical name value setting function 134 and the comparison evaluation function 136 in the correlation comparison function 130 (step S202).

[0050] The processing circuit 110 sets a numerical value corresponding to the clinical name by referring to, for example, the numerical information database NDB, based on each of the events and clinical names (including the contents of the events) included in the combination information output by the clinical name determination function 132, using the clinical name numerical value setting function 134 in the correlation comparison function 130 (step S300). Then, the clinical name numerical value setting function 134 generates numerical information in which a numerical value corresponding to the current patient is set, and outputs the generated numerical information to the comparison evaluation function 136 (step S302).

[0051] On the other hand, the processing circuit 110 acquires the patient's test information (patient's test result information and doctor's examination result information (text)) by the test result acquisition function 126 in the information acquisition function 120 (step S110). The test result acquisition function 126 outputs the acquired test information to the comparison evaluation function 136 (step S112). Here, the processing of steps S100 and S102 and the processing of steps S110 and S112 are not limited to the order of the sequence diagram shown in FIG. 5, and may be performed at the same time, or the order may be reversed. In other words, the processing of generating and outputting combination information in the chief complaint acquisition function 122 and the event determination function 124 and the processing of acquiring and outputting test information in the test result acquisition function 126 may be performed appropriately when the processing becomes possible.

[0052] The processing circuit 110 performs a comparative evaluation process by the comparative evaluation function 136 on the combination information output by the clinical name determination function 132 or the numerical information output by the clinical name numerical value setting function 134, and the test information output by the test result acquisition function 126 (step S400). The comparative evaluation function 136 outputs comparative evaluation result information indicating the result of the comparative evaluation process to each of the treatment suggestion function 140 and the display control function 150 (step S402).

[0053] The processing circuit 110, in cooperation with, for example, the clinical decision support system CDS, considers the contents of a proposal to be proposed to a doctor by the treatment proposal function 140 based on the comparative evaluation result information output by the comparative evaluation function 136 (step S500). Then, the treatment proposal function 140 outputs proposal information representing the proposal contents to the display control function 150 (step S502).

[0054] The processing circuit 110 generates a display image showing information obtained by adding the comparative evaluation result information output by the comparative evaluation function 136 and the proposal information output by the treatment proposal function 140 to the comparative evaluation result information by the display control function 150, and displays the information on the display device (information display) (step S600). As a result, the comparative evaluation result information and the proposal information are provided to the doctor.

[0055] Thereafter, the processing circuit 110 repeats the processes of steps S100 to S600 to provide the doctor with comparative evaluation result information and proposal information as appropriate.

[0056] [Example of displayed image] Here, an example of a display image when the medical diagnosis support device 100 provides comparative evaluation result information and proposal information to a doctor will be described. Fig. 6 is a diagram showing an example of a display screen when the medical diagnosis support device 100 according to the embodiment provides information. Fig. 6 shows an example of a display screen IM that is generated and displayed on a display device when the medical diagnosis support device 100 provides comparative evaluation result information and proposal information to a doctor.

[0057] On the display screen IM, each piece of information to be presented to a doctor is displayed in each of the display areas of the subjective information display area A1, the objective information display area A2, the difference information display area A3, and the proposed information display area A4.

[0058] The subjective information display area A1 is an area for presenting to a doctor subjective information acquired by the medical diagnosis support device 100 or input to the medical diagnosis support device 100. The subjective information display area A1 includes, for example, information display areas of a patient information display area A12 and a doctor information display area A14. The patient information display area A12 is an area for presenting to a doctor information on a patient's subjective complaint transmitted by the patient and acquired by the complaint acquisition function 122. The doctor information display area A14 is an area for presenting to a doctor information acquired by the complaint acquisition function 122 and subjective information on the patient reported by the doctor. On the display screen IM, the patient information display area A12 displays information on the patient's complaints, such as "a: leg pain", "b: diabetes", "c: trying to eat a low-carbohydrate diet", "d: exercising every day", "e: not drinking alcohol this week", and "f: taking insulin injections". On the display screen IM, the doctor information display area A14 displays information obtained by the doctor from the patient's family and information representing the condition of the patient examined by the doctor (hereinafter, these pieces of information will not be distinguished and will be referred to as the "doctor's chief complaint"), such as "g: swollen toes," "h: difficulty walking," and "i: injections appear to be given daily (reported by family)."

[0059] The objective information display area A2 is an area where objective information acquired by or input to the medical diagnosis support device 100 is presented to a doctor. The objective information display area A2 includes, for example, a test result graph display area A22. The test result graph display area A22 is an area where the patient's test results, which are objective information acquired by the test result acquisition function 126, are presented to a doctor in the form of a graph. In the display screen IM, the test result graph display area A22 displays the patient's test results for each of the numerical objects (blood glucose level, ALT (GPT), and γ-GTP) shown in FIG. 4(d) as graphs arranged in chronological order in the order of the test before last, the previous test, and the current test. More specifically, the test result graphs of the blood glucose level test result graph G222, the ALT (GPT) test result graph G224, and the γ-GTP test result graph G226 are displayed in the test result graph display area A22. Here, if the patient has diabetes and only a blood glucose test has been performed on the patient, the ALT (GPT) test result graph G224 and the γ-GTP test result graph G226 may not be displayed in the test result graph display area A22. In the test result graph display area A22, test result graphs of all tests performed on the patient may be displayed simultaneously, a predetermined number of test result graphs may be displayed simultaneously in descending order of importance for the disease suffered by the patient, only one or more test result graphs designated by a doctor may be displayed simultaneously, or only one test result graph with the least correlation may be displayed. The format of the test results displayed in the objective information display area A2 is not limited to the format of a graph, and for example, the test results may be displayed in the format of a table.

[0060] The difference information display area A3 is an area where the comparative evaluation result information obtained by the comparative evaluation function 136 is presented to the doctor. In other words, the difference information display area A3 is an area where there is no correlation between subjective information and objective information, more specifically, the difference between the information of each chief complaint displayed in the subjective information display area A1 and the corresponding test result displayed in the objective information display area A2 is presented to the doctor. The display screen IM displays the number of chief complaints of patients displayed in the patient information display area A12 that are not correlated (different) with the test result graph displayed in the test result graph display area A22, and the number of chief complaints of doctors displayed in the doctor information display area A14 that are not correlated (different) with the test result graph displayed in the test result graph display area A22. The number of differences in the patient's complaints displayed in the difference information display area A3, "3", represents the result of the comparative evaluation process by the comparative evaluation function 136, that is, the number of each of the complaints "c: I try to eat a low-carbohydrate diet," "d: I exercise every day," and "f: I take insulin injections," which are not correlated with the current test results in the blood glucose test result graph G222 displayed in the test result graph display area A22, which are represented by the comparative evaluation result information. The number of differences in the doctor's complaints displayed in the difference information display area A3, "1", represents the number of complaints "i: It appears that injections are taken every day (reported by family)," which are not correlated with the current test results in the blood glucose test result graph G222 displayed in the test result graph display area A22, which are represented by the comparative evaluation result information. In the display screen IM, the number of differences in the patient's complaints, "3," and the corresponding complaints in the patient information display area A12 are shaded to make it easier for the doctor to recognize which complaints are included in the number of differences, "3." Furthermore, on the display screen IM, the number of differences in the doctor's chief complaints = "1" and each of the chief complaints in the corresponding doctor information display area A14 are shaded, making it easier for the doctor to recognize which chief complaints are included in the number of differences = "1."

[0061] The proposed information display area A4 is an area where the proposed information considered by the treatment proposal function 140 is presented to the doctor. The display screen IM suggests that the doctor ask additional questions (additional interviews) regarding the "meal menu," "whether or not snacks were eaten," and "confirmation of exercise intensity" in order to explore (estimate the cause) the "possibility of incorrect declaration" of the main complaint, which has no correlation between the subjective information and objective information displayed in the difference information display area A3. Furthermore, the display screen IM suggests prescribing "increasing the dosage" of insulin when it considers that "insulin effect is weak" is a "possible other factor" which has no correlation between the subjective information and objective information displayed in the difference information display area A3.

[0062] In this way, the medical diagnosis support device 100 acquires the patient's chief complaint information and the examination information. Then, the medical diagnosis support device 100 determines the events included in the chief complaint information, and presents the items evaluated as not being correlated between the event information and the examination information to the doctor. This allows the doctor using the medical diagnosis support device 100 to easily check the items that are not correlated when identifying (definitively diagnosing) the disease the patient is suffering from. Furthermore, the medical diagnosis support device 100 suggests additional interview content and treatment required when identifying (definitively diagnosing) the disease the patient is suffering from. This allows the doctor using the medical diagnosis support device 100 to examine the patient more appropriately. This allows the doctor using the medical diagnosis support device 100, for example, even if he is inexperienced, to make an accurate definitive diagnosis without overlooking items that are not correlated between the patient's chief complaint and the examination results, just like a doctor with a lot of experience, and to select an appropriate treatment to treat the patient.

[0063] The doctor may ask the proposed additional question and, for example, operate an input interface to input the patient's answer to the additional question to the medical diagnosis support device 100. In this case, the medical diagnosis support device 100 (more specifically, the complaint acquisition function 122) may acquire the inputted patient's answer as the patient's complaint information declared by the patient or the information about the patient declared by the doctor, and cause the display control function 150 to add and display it as a new patient's complaint in the subjective information display area A1. Furthermore, the medical diagnosis support device 100 (more specifically, the correlation comparison function 130) may perform the comparison evaluation process again and cause the display control function 150 to update the display of the difference information display area A3. Furthermore, the medical diagnosis support device 100 (more specifically, the treatment suggestion function 140) may consider a new treatment and cause the display control function 150 to display it in the proposed information display area A4 as another additional question (hearing) content or a candidate for another treatment.

[0064] The additional questions (interviews) displayed in the proposed information display area A4 may be, for example, questions on a medical questionnaire that the patient will fill out the next time he or she visits the hospital. More specifically, for example, when the questions on the medical questionnaire are displayed on a terminal device such as a tablet terminal and the patient enters the questions on the terminal device, the questions on the medical questionnaire displayed on the terminal device may be changed for each patient. For this reason, the display control function 150 or the response suggestion function 140 may transmit information representing the additional questions (interviews) displayed this time in the proposed information display area A4 to a terminal device on which the patient will write the chief complaint that the patient will report the next time he or she visits the hospital, and display the information. In this way, the medical diagnosis support device 100 can obtain the patient's answer (chief complaint) to the additional questions asked this time at the first stage of the patient's next visit to the hospital.

[0065] As described above, the medical diagnosis support device of the embodiment acquires information on the main complaint reported by the patient and information on the test results performed on the patient. Then, the medical diagnosis support device of the embodiment performs a comparative evaluation process on the information on the main complaint and the information on the test results, and presents to the doctor items that have no correlation (no causal relationship) between the information on the main complaint and the information on the test results. Furthermore, the medical diagnosis support device of the embodiment considers possible measures that the doctor may take to identify (definitively diagnose) the disease the patient is suffering from, and proposes additional questions (interviews) and candidates for treatment to be performed on the patient. This allows the doctor to make a definitive diagnosis appropriately based on each piece of information displayed on the display device by the medical diagnosis support device of the embodiment. In other words, the medical diagnosis support device of the embodiment can support the definitive diagnosis performed by the doctor. And, the medical diagnosis support device of the embodiment can reduce the burden on the doctor when making a definitive diagnosis.

[0066] In the above-mentioned embodiment, the medical diagnosis support device is implemented in one computer device or a server device on a network (not shown), but this is merely an example, and the medical diagnosis support device or the functions realized by the medical diagnosis support device may be implemented by a configuration combining multiple server devices or computer devices. In this case, the functional configuration, operation, and processing of the medical diagnosis support device may be equivalent to the functional configuration, operation, and processing of the medical diagnosis support device in the above-mentioned embodiment. Therefore, detailed description of the medical diagnosis support device in this case or the functional configuration, operation, and processing that realizes its functions will be omitted.

[0067] The above-described embodiment can be expressed as follows. processing circuitry; The processing circuitry includes: obtaining chief complaint information representing a chief complaint declared by a patient and examination information representing results of examinations performed on the patient; comparing the chief complaint information with the examination information, and outputting comparison result information indicating whether or not there is a correlation between the chief complaint information and the examination information; generating display data for presenting each of the chief complaint information, the examination information, and the comparison result information, and displaying the generated display data on a display device; Medical diagnostic support equipment.

[0068] According to at least one of the embodiments described above, there is provided an information acquisition unit (120) that acquires chief complaint information indicating the chief complaint declared by the patient and test information indicating the results of tests performed on the patient, a correlation comparison unit (130) that compares the chief complaint information with the test information and outputs comparison result information indicating whether or not there is a correlation between the chief complaint information and the test information, and a display control unit (150) that generates display data for presenting each of the chief complaint information, the test information, and the comparison result information and displays it on a display device, thereby realizing a medical diagnosis support device, a medical diagnosis support method, and a program that can assist a doctor in making a diagnosis by presenting information that is not correlated between the patient's chief complaint and the test results.

[0069] Although some 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, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as described in the claims, as well as in the scope and spirit of the invention. [Explanation of symbols]

[0070] 100 medical diagnosis support device, 110 processing circuit, 120 information acquisition function, 122 chief complaint acquisition function, 124 event determination function, 126 test result acquisition function, 130 correlation comparison function, 132 clinical name determination function, 134 clinical name numerical value setting function, 136 comparison evaluation function, 140 response proposal function, 150 display control function

Claims

1. an information acquisition unit that acquires complaint information indicating a complaint reported by a patient and examination information indicating a result of an examination performed on the patient; a correlation comparison unit that compares the chief complaint information with the examination information and outputs comparison result information indicating whether or not there is a correlation between the chief complaint information and the examination information; a display control unit that generates display data for presenting each of the chief complaint information, the examination information, and the comparison result information, and displays the display data on a display device; A medical diagnostic support device comprising:

2. The information acquisition unit determines an event related to the examination of the patient based on the chief complaint information; The correlation comparison unit is a clinical name determination unit that determines a clinical name for linking a medical meaning included in the chief complaint information based on the event, and generates combination information linking the event and the clinical name; a clinical name value setting unit that generates numerical information in which a numerical value corresponding to the clinical name is set based on the event and the clinical name included in the combination information; a comparison evaluation unit that compares the combination information or the numerical information with the inspection information and outputs the comparison result information that evaluates the correlation between the respective pieces of compared information; Equipped with The medical diagnostic support device according to claim 1 .

3. The information acquisition unit extracts text that indicates the content of the patient's chief complaint, which is included in the chief complaint information, and determines the event based on the extracted text. The medical diagnostic support device according to claim 2 .

4. The information acquisition unit further acquires patient information regarding the patient reported by a doctor examining the patient, The correlation comparison unit outputs the comparison result information obtained by comparing the patient information with the chief complaint information and the examination information, The display control unit generates the display data for presenting each of the chief complaint information combined with the patient information, the examination information, and the comparison result information, and displays the display data on the display device. The medical diagnosis support device according to any one of claims 1 to 3.

5. A treatment suggestion unit that outputs proposal information that suggests either or both of the contents of additional information to be acquired to estimate the cause of the lack of correlation for the chief complaint information that is not correlated with the examination information and a candidate treatment to be performed on the patient to deal with the chief complaint information that is not correlated, which is represented by the comparison result information; The display control unit generates the display data for presenting the proposed information and displays the display data on the display device. The medical diagnostic support device according to claim 4.

6. The computer obtaining chief complaint information representing a chief complaint declared by a patient and examination information representing results of examinations performed on the patient; comparing the chief complaint information with the examination information, and outputting comparison result information indicating whether or not there is a correlation between the chief complaint information and the examination information; generating display data for presenting each of the chief complaint information, the examination information, and the comparison result information, and displaying the generated display data on a display device; A method for assisting medical diagnosis.

7. On the computer, obtaining chief complaint information representing a chief complaint declared by a patient and examination information representing results of examinations performed on the patient; comparing the chief complaint information with the examination information and outputting comparison result information indicating whether or not there is a correlation between the chief complaint information and the examination information; generating display data for presenting each of the chief complaint information, the examination information, and the comparison result information, and displaying the generated display data on a display device; program.

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