Health management system and health management method

Abstract

To provide a health management system capable of identifying a disease of a subject.SOLUTION: This health management system includes: an abnormality detection unit 301 that accepts input of data on a subject's physical condition and detects an abnormality in the subject; a response data reception unit 302 that receives response data from the subject in reply to a voice prompt; and a disease identification unit 303 that identifies a disease of the subject on the basis of the response data.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a health care system and a health care method. [Background technology]

[0002] Conventionally, it has been proposed to measure data on a person's physical condition (see, for example, Patent Documents 1 to 7). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6203765 [Patent Document 2] Patent No. 6217787 [Patent Document 3] Patent No. 6288485 [Patent Document 4] Patent No. 6342095 [Patent Document 5] Patent No. 6566241 [Patent Document 6] Patent No. 6577761 [Patent Document 7] Patent No. 7168270 Summary of the Invention [Problem to be solved by the invention]

[0004] An object of the present invention is to provide a health care system and a health care method that can identify a disease in a subject. [Means for solving the problem]

[0005] A health management system according to an embodiment of the present invention includes an abnormality detection unit that receives input data on the subject's physical condition and detects abnormalities in the subject, a response data receiving unit that receives response data from the subject in response to a voice call, and a disease identification unit that identifies a disease or possible disease in the subject based on the response data.

[0006] In the above health management system, the physical condition data may be physical condition data related to stroke.

[0007] In the above health care system, the abnormality may be stroke or the possibility of stroke.

[0008] The health management system may further include a measuring device that measures data on a physical condition.

[0009] In the above-described health care system, the measurement device may be installed in a building where the subject is present.

[0010] In the above health management system, the measurement device may be attached to the subject.

[0011] In the above health management system, when an abnormality in the subject is detected, the response data receiving unit may receive the response data.

[0012] The health management system may further include a conversation instruction unit that instructs an operator to talk to the subject when an abnormality in the subject is detected.

[0013] In the above health management system, the response data may be acquired by an operator.

[0014] In the above health management system, the response data may include whether or not the subject responded.

[0015] In the above health management system, the response data may include symptoms described by the subject through speech.

[0016] In the above health management system, the symptoms described by the subject through speech may be at least one of symptoms related to cerebral infarction, symptoms related to cerebral hemorrhage, and symptoms related to subarachnoid hemorrhage.

[0017] In the above health management system, the disease identification unit may identify a disease or possible disease of the subject based on the physical condition data and the response data.

[0018] In the above health management system, the target disease or possible disease identified by the disease identifying unit may be at least one of cerebral infarction, cerebral hemorrhage, and subarachnoid hemorrhage.

[0019] The health management system may further include an emergency transport instruction unit that outputs an instruction to transport the subject by ambulance when a disease or possible disease of the subject is identified.

[0020] A health management method according to an embodiment of the present invention includes an abnormality detection unit of a computer system accepting input of data on the physical condition of a subject and detecting an abnormality in the subject, a response data acceptance unit of the computer system accepting response data from the subject in response to a voice call, and a disease identification unit of the computer system identifying a disease in the subject based on the response data.

[0021] In the above health management method, the physical condition data may be physical condition data related to stroke.

[0022] In the above health management method, the abnormality may be stroke or the possibility of stroke.

[0023] In the above health management method, the physical condition data may be data measured by a measurement device.

[0024] In the above health management method, the measurement device may be placed in a building where the subject is present.

[0025] In the above health management method, the measurement device may be attached to the subject.

[0026] In the above health management method, when an abnormality in the subject is detected, the response data receiving unit may receive the response data.

[0027] The above health management method may further include, when an abnormality in the subject is detected, a conversation instruction unit of the computer system instructing an operator to talk to the subject.

[0028] In the above health management method, the response data may be acquired by an operator.

[0029] In the above health management method, the response data may include whether or not the subject has responded.

[0030] In the above health management method, the response data may include symptoms described by the subject through speech.

[0031] In the above health management method, the symptoms described by the subject through speech may be at least one of symptoms related to cerebral infarction, symptoms related to cerebral hemorrhage, and symptoms related to subarachnoid hemorrhage.

[0032] In the above health management method, the disease identification unit may identify a disease or a possible disease of the subject based on the physical condition data and the response data.

[0033] In the above health management method, the target disease or possible disease identified by the disease identifying unit may be at least one of cerebral infarction, cerebral hemorrhage, and subarachnoid hemorrhage.

[0034] The above health management method may further include an emergency transport instruction unit of the computer system outputting an instruction to transport the subject by ambulance when a disease or possible disease in the subject is identified. [Effects of the Invention]

[0035] According to the present invention, it is possible to provide a health management system and a health management method that can identify a disease of a subject. [Brief explanation of the drawings]

[0036] [Figure 1] 1 is a schematic diagram showing a health management system according to an embodiment; [Figure 2] 1 is a flowchart showing a health management method according to an embodiment. [Figure 3] 1 is a flowchart showing a health management method according to an embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0037] The following describes embodiments of the present invention. However, it should not be understood that the following embodiments limit the present invention. From this disclosure, various alternative embodiments, examples, and operating techniques will become apparent to those skilled in the art. It should be understood that the present invention encompasses various embodiments not described herein.

[0038] 1, the health management system according to the embodiment includes an abnormality detection unit 301 that receives input data on the physical condition of a subject 10 and detects abnormalities in the subject 10, a response data reception unit 302 that receives response data from the subject 10 in response to a voice call, and a disease identification unit 303 that identifies a disease in the subject 10 based on the response data. The abnormality detection unit 301, the response data reception unit 302, and the disease identification unit 303 are included in, for example, a computer system 300.

[0039] The subject 10 may be, for example, a human. The physical condition data may be any data related to the survival of a human. The physical condition data may be vital data. Without being limited thereto, the physical condition data may be physical condition data related to a stroke. Examples of vital data related to a stroke include respiratory rate, systolic blood pressure, and diastolic blood pressure. Examples of physical condition data related to a stroke include hemiplegia, upper limb Barre syndrome, lower limb Barre syndrome, quadriplegia, monoplegia, paraplegia, facial paralysis, dysarthria, aphasia, dysarthria, cranial nerve symptoms, conjugate deviation, visual field defect, visual field abnormality, weakness, movement disorder, falls, and immobility.

[0040] Examples of physical condition data include a person's gender, age, height, weight, and whether or not they are pregnant. Examples of physical condition data include a person's medical history and family history. Here, medical history refers to a person's medical history, and family history refers to the medical history of the person's family members. Family history refers to the medical history of a person's parents, siblings, children, and relatives, for example. If the people to be managed are multiple people related by blood, the medical history of a person may be automatically acquired as the family history of those related by blood to that person. Examples of physical condition data include a person's treatment and medication history.

[0041] Examples of the physical condition data include heart rate, body movement, body temperature, ambient temperature, and ambient humidity. Examples of the body movement include the number of steps, distance traveled, and speed of travel. Body movement may be the movement of a part of a person's body. Examples of the physical condition data include biochemical test results and hematology test results.

[0042] Examples of biochemical test results include total protein levels of albumin and globulin, albumin level, albumin to globulin ratio, total bilirubin level, direct bilirubin level, AST level, ALT level, LDH level, alkaline phosphatase level, γ-GTP level, cholinesterase level, CPK level, amylase level, glucose level (blood sugar level), HbA1c level, sodium level, potassium level, chloride level, CRP level, triglyceride level, total cholesterol level, HDL-C level, urea nitrogen level, creatinine level, uric acid level, and iron level.

[0043] Examples of hematology test results include white blood cell count, red blood cell count, hemoglobin count, hematocrit count, platelet count, neutrophil count, lymphocyte count, monocyte count, eosinophil count, basophil count, prothrombin time, activated partial thromboplastin time, fibrinogen count, and D-dimer count.

[0044] Further, examples of physical condition data include a person's intake. Examples of intakes include foods consumed for breakfast, lunch, dinner, snacks, etc., as well as beverages including dairy drinks, tea, coffee, juice, and alcoholic beverages. Furthermore, the physical condition data may include data such as the sugar content, salt content, fat content, and calories of the intake.

[0045] Furthermore, an example of physical condition data is a person's genetic information.

[0046] A measuring device 401 that measures data on a person's physical condition may be connected to the abnormality detection unit 301 via communication. For example, when measuring upper limb barre syndrome, lower limb barre syndrome, quadriplegia, monoplegia, paraplegia, weakness, and facial paralysis, a sensor that detects the body movement of the subject 10 can be used as the measuring device 401. When measuring facial paralysis, for example, a device that uses an RGB camera to track the face of the subject 10 in a markerless manner can be used as the measuring device 401. When measuring hemiplegia and motor disorders, for example, a device that uses an RGB camera to track the walking movement of the subject 10 in a markerless manner can be used as the measuring device 401.

[0047] When measuring facial paralysis, for example, a device that uses a depth camera to detect facial movements and expressions of the subject 10 can be used as the measuring device 401. When measuring motor disorders, for example, a device that uses a depth camera to detect upper limb movements of the subject 10 can be used as the measuring device 401. When measuring falls and stillness, for example, a device that uses radio waves to detect falls and stillness of the subject 10 can be used as the measuring device 401.

[0048] When measuring dysarthria, aphasia, and dysarthria, for example, a microphone, a device for detecting the length of an utterance, and a device for detecting the pronunciation of vowels can be used as the measurement device 401. In addition, in the case of aphasia, since the gaze is not fixed, an eye tracking tracker can be used as the measurement device 401. When measuring conjugate deviation, visual field defect, and visual field abnormality, for example, an eye sensor can be used as the measurement device 401.

[0049] Other examples of the measurement device 401 include a height measuring device, a weight scale, a heart rate monitor, a respirometer, a body movement sensor, a pedometer, a movement distance sensor, a movement speed sensor, a blood pressure monitor, a biochemical testing device, a hematology testing device, and a genetic testing device.

[0050] The measuring device 401 may be placed in a building where a person is present. Examples of buildings include residences such as detached houses and apartment buildings, as well as commercial and public facilities such as accommodation facilities, dormitories, stores, concert halls, art galleries, museums, aquariums, hospitals, offices, and factories. The measuring device 401 may be placed in a room in the building, such as a living room or a bedroom. The measuring device 401 may be worn by a person. The measuring device 401 may be a wearable terminal.

[0051] The health management system according to the embodiment may further include a data range storage device 304 that stores the abnormal range of each piece of physical condition data detected by the abnormality detection unit 301. The abnormality detection unit 301 reads the abnormal range of the physical condition data from the data range storage device 304 and determines whether the physical condition data received from the measurement device 401 falls within the abnormal range. If the physical condition data received from the measurement device 401 falls within the abnormal range, the abnormality detection unit 301 determines that an abnormality has occurred in the subject 10. The abnormality may be a stroke or the possibility of a stroke. If the physical condition data received from the measurement device 401 does not fall within the abnormal range, the abnormality detection unit 301 determines that the subject 10 is normal.

[0052] The health management system according to the embodiment may further include a conversation instruction unit 305 that instructs the operator 20 to converse with the subject 10 when an abnormality in the subject 10 is detected. The operator 20 may, for example, belong to a call center. The instruction sent by the conversation instruction unit 305 is output to an instruction output device 402 located near the operator 20. The operator 20 communicates with the subject 10 via voice communication such as telephone or the Internet. For example, an operator communication device 404 is located near the operator 20, and a subject communication device 403 is located near the subject 10. The content of the voice communication is recorded as response data. The operator 20 may add information about the subject 10, such as findings, to the response data. The conversation instruction unit 305 may instruct an automatic response device, such as a non-human automatic chatbot or a generation AI, to converse with the subject 10. The response data may include, for example, whether the subject 10 responded, whether the subject 10 had dysarthria, and symptoms described by the subject 10 through speech. The symptoms may be those associated with cerebral infarction, cerebral hemorrhage, and subarachnoid hemorrhage. Examples of symptoms include weakness, nausea, vomiting, headache, and visual field abnormalities.

[0053] The response data is transmitted from the response data transmitting device 412 to the computer system 300. The response data receiving unit 302 receives the response data. The disease identifying unit 303 identifies the disease of the subject 10 based on the response data received by the response data receiving unit 302. The response data receiving unit 302 may narrow the range of diseases to be identified based on the abnormality detected by the abnormality detection unit 301. For example, if the abnormality detected by the abnormality detection unit 301 is a stroke, the disease to be identified may be cerebral hemorrhage, subarachnoid hemorrhage, or cerebral infarction. The disease identifying unit 303 may analyze the response data, which is the content of the voice call, to determine whether the subject 10 has responded, whether the subject 10 has dysarthria, and the symptoms described by the subject 10 through speech. Furthermore, while the operator 20 or the automatic answering device is making a voice call with the subject 10, the measuring device 401 may measure data on the subject 10's physical condition and transmit the data on the subject 10's physical condition to the disease identifying unit 303. In this case, the disease identifying unit 303 may identify the disease of the subject 10 based on the response data and the data on the physical condition measured by the measuring device 401.

[0054] For example, if there is no response from the subject 10 or if the response is unclear, there is a high possibility that the subject 10 has a disturbance in consciousness. Diseases that are likely to cause a disturbance in consciousness include cerebral hemorrhage and subarachnoid hemorrhage. Diseases that are likely to cause dysarthria include cerebral infarction. Diseases that are likely to cause nausea and / or vomiting include cerebral hemorrhage and subarachnoid hemorrhage. Diseases that are likely to cause weakness include cerebral hemorrhage. Diseases that are likely to cause headache include subarachnoid hemorrhage. In addition, if there is no response from the subject 10, the disease identification unit 303 may notify registered persons such as the subject's 10's family, relatives, and guardian of the information that there was no response from the subject 10.

[0055] For example, if the subject 10 has at least one of the symptoms of impaired consciousness, nausea, vomiting, and weakness, the disease identifying unit 303 identifies the subject 10's disease as cerebral hemorrhage. For example, if the subject 10 has at least one of the symptoms of impaired consciousness, nausea, vomiting, and headache, the disease identifying unit 303 identifies the subject 10's disease as subarachnoid hemorrhage. For example, if the subject 10 has a symptom of dysarthria, the disease identifying unit 303 identifies the subject 10's disease as cerebral infarction. After identifying the disease, the disease identifying unit 303 may notify registered persons such as the subject 10's family, relatives, and guardian of information about the identified disease of the subject 10.

[0056] The health management system according to the embodiment may further include an ambulance transport instruction unit 306 that outputs an instruction to transport the subject 10 by ambulance when the disease identification unit 303 identifies a disease or a possible disease of the subject 10. The ambulance transport instruction unit 306 transmits data including the location of the subject 10, the identified or possible disease of the subject 10, and an instruction to transport the subject 10 by ambulance to, for example, a fire station, a hospital, a security company, a private ambulance service provider, or the like.

[0057] Next, a health management method according to an embodiment will be described with reference to the flowchart in Fig. 2. In step S100, the measurement device 401 measures data on the physical condition of the subject 10 and transmits the data on the physical condition of the subject 10 to the abnormality detection unit 301 of the computer system 300 via communication. In step S101, the abnormality detection unit 301 of the computer system 300 accepts input of the data on the physical condition of the subject 10 from the measurement device 401.

[0058] In step S102, the abnormality detection unit 301 reads out the abnormal range of the physical condition data from the data range storage device 304 of the computer system 300. Furthermore, the abnormality detection unit 301 determines whether the physical condition data received from the measurement device 401 falls within the abnormal range. If the physical condition data received from the measurement device 401 falls within the abnormal range, the abnormality detection unit 301 determines that an abnormality has occurred in the subject 10. If the physical condition data received from the measurement device 401 does not fall within the abnormal range, the abnormality detection unit 301 determines that the subject 10 is normal.

[0059] If it is determined in step S102 that an abnormality has occurred in the target 10, in step S103 the conversation instruction unit 305 of the computer system 300 instructs the operator 20 or the automatic answering device to talk to the target 10. In step S104, the operator 20 or the automatic answering device calls out to the target 10 by voice. In step S105, response data is automatically created based on the recorded conversation between the operator 20 or the automatic answering device and the target 10. Note that the response data may also be created by the operator 20 or the automatic answering device.

[0060] In step S106, the response data transmitting device 412 transmits the response data to the computer system 300. The response data receiving unit 302 of the computer system 300 receives the response data. In step S107, the disease identification unit 303 of the computer system 300 identifies the disease of the subject 10 based on the response data received by the response data receiving unit 302.

[0061] A specific method for identifying a disease will be described with reference to the flowchart in Fig. 3. If it is determined in step S102 in Fig. 2 that the subject 10 has suffered from a stroke or is likely to suffer from a stroke, in step S200 in Fig. 3, the disease identification unit 303 determines whether or not the subject 10 has a consciousness disorder based on the response data.

[0062] If there is a disturbance of consciousness, the process proceeds to step S201, where the disease identifying unit 303 determines whether or not the subject 10 has at least one of nausea and vomiting, based on the response data. If there is at least one of nausea and vomiting, the process proceeds to step S202, where the disease identifying unit 303 determines whether or not the subject 10 has a headache symptom, based on the response data. If there is a headache symptom, the process proceeds to step S203, where the disease identifying unit 303 determines that the subject has subarachnoid hemorrhage or that there is a possibility that the subject has subarachnoid hemorrhage.

[0063] If it is determined in step S202 that the subject 10 does not have a headache symptom, the process proceeds to step S204, where the disease identification unit 303 determines whether or not the subject 10 has a symptom of weakness based on the response data. If the subject has a symptom of weakness, the process proceeds to step S205, where the disease identification unit 303 determines that the subject has a cerebral hemorrhage or that the subject may have a cerebral hemorrhage.

[0064] If it is determined in step S200 that there is no disturbance of consciousness, the process proceeds to step S206, where the disease identification unit 303 determines whether or not the subject 10 has dysarthria based on the response data. If dysarthria is present, the process proceeds to step S207, where the disease identification unit 303 determines that the subject has cerebral infarction or that there is a possibility that the subject has cerebral infarction.

[0065] Returning to FIG. 2, if a disease is identified in step S107, in step S108, the emergency transport instruction unit 306 of the computer system 300 outputs an instruction to transport the subject 10 by ambulance. Note that even if there is no response from the subject 10 in step S104, the emergency transport instruction unit 306 of the computer system 300 may output an instruction to transport the subject 10 by ambulance, because an abnormality in the subject 10 was detected in step S102. Also, even if the disease of the subject 10 cannot be identified in step S107, the emergency transport instruction unit 306 of the computer system 300 may output an instruction to transport the subject 10 by ambulance, because an abnormality in the subject 10 was detected in step S102.

[0066] Although the present invention has been described above by way of the embodiments, the description and drawings that form part of this disclosure should not be understood to limit the present invention. From this disclosure, various alternative embodiments, examples, and operating techniques will become apparent to those skilled in the art. It should be understood that the present invention encompasses various embodiments not described herein. [Explanation of symbols]

[0067] 10. Object, 20. Operator, 300. Computer system, 301. Anomaly detection unit, 302. Response data reception unit, 303. Disease identification unit, 304. Data range storage device, 305. Conversation instruction unit, 306. Emergency transport instruction unit, 401. Measuring device, 402. Instruction output device, 403. Communication device for object, 404. Communication device for operator, 412. Response data transmission device

Claims

1. an abnormality detection unit that receives input of data on the physical condition of the subject and detects abnormalities in the subject; a response data receiving unit that receives response data that is the content of the voice call of the target in response to a voice call; a disease identification unit that identifies a disease or possible disease of the subject based on the response data; A health management system comprising: the disease identification unit analyzes the response data, If it is determined that the subject has a disturbance of consciousness and a headache, it is determined that the subject may have a subarachnoid hemorrhage; If it is determined that the subject has impaired consciousness and no headache, it is determined that the subject may have cerebral hemorrhage; If the subject has dysarthria, it is determined that there is a possibility of cerebral infarction. Health management system.

2. The health management system according to claim 1 , wherein the physical condition data is physical condition data related to stroke.

3. The health care system of claim 1 , wherein the abnormality is a stroke or a possibility of a stroke.

4. The health management system according to claim 1 , further comprising a measuring device for measuring the physical condition data.

5. The health care system according to claim 4 , wherein the measurement device is located in a building where the subject is present.

6. The health management system of claim 4 , wherein the measurement device is attached to the subject.

7. The health management system according to claim 1 , wherein the response data receiving unit receives the response data when an abnormality in the subject is detected.

8. The health management system according to claim 1 , further comprising a conversation instruction unit that instructs an operator to talk to the subject when an abnormality in the subject is detected.

9. The health management system of claim 8 , wherein the response data is obtained by the operator.

10. The health care system of claim 1 , wherein the response data includes whether or not the subject responded.

11. The health management system of claim 1 , wherein the response data includes symptoms described by the subject through speech.

12. The health management system according to claim 11 , wherein the symptoms described by the subject through speech are at least one of symptoms related to cerebral infarction, symptoms related to cerebral hemorrhage, and symptoms related to subarachnoid hemorrhage.

13. The health management system according to claim 1 , wherein the disease identification unit identifies a disease or a possible disease of the subject based on the physical condition data and the response data.

14. The health management system according to claim 1 , further comprising an emergency transport instruction unit that outputs an instruction to transport the subject by ambulance when a disease or possible disease of the subject is identified.

15. An abnormality detection unit of the computer system receives input of data on the physical condition of the subject and detects an abnormality in the subject; A response data receiving unit of the computer system receives response data which is the content of the voice call of the target in response to the voice call; A disease identification unit of the computer system identifies a disease of the subject based on the response data; A health management method comprising: the disease identification unit analyzes the response data, If it is determined that the subject has a disturbance of consciousness and a headache, it is determined that the subject may have a subarachnoid hemorrhage; If it is determined that the subject has impaired consciousness and no headache, it is determined that the subject may have cerebral hemorrhage; If the subject has dysarthria, it is determined that there is a possibility of cerebral infarction. Health management method.

16. The health management method according to claim 15 , wherein the physical condition data is physical condition data related to stroke.

17. The health management method according to claim 15, wherein the abnormality is stroke or the possibility of stroke.

18. The health management method according to claim 15, wherein the physical condition data is data measured by a measuring device.

19. The health management method according to claim 18 , wherein the measurement device is located in a building where the subject is present.

20. The health management method according to claim 18 , wherein the measurement device is attached to the subject.

21. The health management method according to claim 15 , wherein the response data receiving unit receives the response data when an abnormality in the subject is detected.

22. The health management method according to claim 15, further comprising a conversation instruction unit of a computer system instructing an operator to converse with the subject when an abnormality in the subject is detected.

23. The health management method of claim 22 , wherein the response data is obtained by the operator.

24. The health management method of claim 15 , wherein the response data includes whether or not the subject responded.

25. The health management method of claim 15 , wherein the response data includes symptoms described by the subject through speech.

26. 26. The health management method according to claim 25, wherein the symptoms described by the subject through speech are at least one of symptoms related to cerebral infarction, symptoms related to cerebral hemorrhage, and symptoms related to subarachnoid hemorrhage.

27. The health management method according to claim 15 , wherein the disease identification unit identifies a disease or a possible disease of the subject based on the physical condition data and the response data.

28. The health management method according to claim 15, further comprising an emergency transport instruction unit of a computer system outputting an instruction to transport the subject by ambulance when a disease or possible disease of the subject is identified.

29. The disease identification unit analyzes the response data, If it is determined that the subject has a disturbance of consciousness, at least one of nausea and vomiting, and a headache, it is determined that the subject may have a subarachnoid hemorrhage; If it is determined that the subject has impaired consciousness, at least one of nausea and vomiting, no headache, and weakness, it is determined that the subject may have cerebral hemorrhage; If the subject has no consciousness disorder but has dysarthria, it is determined that the subject may have a cerebral infarction. The health management system according to claim 1 .

30. The disease identification unit analyzes the response data, If it is determined that the subject has a disturbance of consciousness, at least one of nausea and vomiting, and a headache, it is determined that the subject may have a subarachnoid hemorrhage; If it is determined that the subject has impaired consciousness, at least one of nausea and vomiting, no headache, and weakness, it is determined that the subject may have cerebral hemorrhage; If the subject has no consciousness disorder but has dysarthria, it is determined that the subject may have a cerebral infarction. The health management method according to claim 15.

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