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] 2. Description of the Related Art Conventionally, there have been proposals for measuring 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 management system and a health management method capable of identifying a disease of a subject. [Means for solving the problem]

[0005] A health management system according to an embodiment of the present invention comprises an abnormality detection unit that accepts input data on the physical condition of a subject and detects abnormalities in the subject, a response data receiving unit that accepts response data from the subject 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 above health management system may further include a measuring device for measuring physical condition data.

[0009] In the above 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 above 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 the presence or absence of a response from the subject.

[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 a 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 above-mentioned 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 data on the physical condition of a subject and detecting an abnormality in the subject, a response data receiving unit of the computer system accepting response data of the subject 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 measuring device.

[0024] In the above health management method, the measurement device may be placed in a building in which 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 is detected in the subject, 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 instructing unit of the computer system instructs the 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 the presence or absence of a response from the subject.

[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 identifying 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, when a disease or possible disease in the subject is identified, an emergency transport instruction unit of the computer system outputs an instruction to transport the subject by ambulance. Effect of the Invention

[0035] According to the present invention, it is possible to provide a health management system and a health management method capable of identifying a disease of a subject. [Brief description of the drawings]

[0036] [Figure 1] FIG. 1 is a schematic diagram showing a health management system according to an embodiment. [Diagram 2] 3 is a flowchart showing a health management method according to the embodiment. [Diagram 3] 3 is a flowchart showing a health management method according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[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 receiving 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 receiving unit 302, and the disease identification unit 303 are included in a computer system 300, for example.

[0039] The subject 10 is, for example, a human. The physical condition data is any data related to the survival of a human. The physical condition data may be vital data. The physical condition data may be, but is not limited to, physical condition data related to stroke. Examples of vital data related to stroke include respiratory rate, systolic blood pressure, and diastolic blood pressure. Examples of physical condition data related to stroke include hemiplegia, upper limb Barre sign, lower limb Barre sign, quadriplegia, monoplegia, paraplegia, facial paralysis, dysarthria, aphasia, dysarthria, cranial nerve symptoms, conjugate deviation, visual field defect, visual field abnormality, weakness, movement disorder, fall, and immobility.

[0040] Examples of physical condition data include a person's gender, age, height, weight, and whether or not the person is pregnant. Examples of physical condition data include a person's medical history and family history. Here, a medical history is a person's medical history, and a family history is a medical history of the person's family members. A family history is, for example, the medical history of a person's parents, siblings, children, and relatives. In the case where 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 the person's blood relatives. Examples of physical condition data include a person's treatment and drug administration 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, the distance traveled, and the speed of movement. The body movement may be the movement of a part of the 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 amount of albumin and globulin, albumin amount, albumin to globulin ratio, total bilirubin amount, direct bilirubin amount, AST amount, ALT amount, LDH amount, alkaline phosphatase amount, γ-GTP amount, cholinesterase amount, CPK amount, amylase amount, glucose amount (blood glucose level), HbA1c amount, sodium amount, potassium amount, chloride amount, CRP amount, triglyceride amount, total cholesterol amount, HDL-C amount, urea nitrogen amount, creatinine amount, uric acid amount, and iron amount.

[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 the physical condition data include a person's intake. Examples of the intake include food consumed at breakfast, lunch, dinner, snacks, etc., and beverages including milk drinks, tea, coffee, juice, and alcoholic drinks. 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 sign, lower limb barre sign, 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 detects facial movements and expressions of the subject 10 using a depth camera can be used as the measuring device 401. When measuring motor disorders, for example, a device that detects upper limb movements of the subject 10 using a depth camera can be used as the measuring device 401. When measuring falls and stillness, for example, a device that detects falls and stillness of the subject 10 using radio waves 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 speech, 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 measuring device, a heart rate measuring device, a respiration measuring device, a body movement sensor, a pedometer, a movement distance sensor, a movement speed sensor, a blood pressure measuring device, a biochemical testing device, a hematology testing device, and a genetic testing device.

[0050] The measuring device 401 may be disposed in a building where a person exists. 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 disposed in a room in the building, for example, 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 of the physical condition data detected by the abnormality detection unit 301. The abnormality detection unit 301 reads out the abnormal range of the physical condition data from the data range storage device 304, and judges whether or not the physical condition data received from the measurement device 401 is included in the abnormal range. If the physical condition data received from the measurement device 401 is included in the abnormal range, the abnormality detection unit 301 judges that an abnormality has occurred in the subject 10. The abnormality may be a stroke or a possibility of a stroke. If the physical condition data received from the measurement device 401 is not included in the abnormal range, the abnormality detection unit 301 judges 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 talk to the target 10 when an abnormality in the target 10 is detected. The operator 20 belongs to, for example, a call center. The instruction transmitted by the conversation instruction unit 305 is output to an instruction output device 402 disposed near the operator 20. The operator 20 makes a voice call with the target 10 via communication such as telephone and the Internet. For example, an operator communication device 404 is disposed near the operator 20, and a target communication device 403 is disposed near the target 10. The contents of the voice call are recorded as response data. The operator 20 may add information such as findings on the target 10 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 talk to the target 10. The response data includes, for example, whether or not the target 10 responds, whether or not the target 10 has dysarthria, and symptoms explained by the target 10 through speech. The symptoms may be symptoms associated with cerebral infarction, symptoms associated with cerebral hemorrhage, and symptoms associated with 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 any one of cerebral hemorrhage, subarachnoid hemorrhage, and 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 that the subject 10 has explained by speaking. In addition, while the operator 20 or the automatic response device is making a voice call with the subject 10, the measuring device 401 may measure data on the physical condition of the subject 10 and transmit the data on the physical condition of the subject 10 to the disease identifying unit 303. In this case, the disease identifying section 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 consciousness disorder. Examples of diseases that are likely to cause consciousness disorder include cerebral hemorrhage and subarachnoid hemorrhage. Examples of diseases that are likely to cause dysarthria include cerebral infarction. Examples of diseases that are likely to cause nausea and / or vomiting include cerebral hemorrhage and subarachnoid hemorrhage. Examples of diseases that are likely to cause weakness include cerebral hemorrhage. Examples of diseases that are likely to cause headaches 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 family, relatives, and guardian of the subject 10 of the information that there was no response from the subject 10.

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

[0056] The health management system according to the embodiment may further include an emergency transport instruction unit 306 that outputs an instruction to transport the subject 10 by ambulance when a disease or a possible disease of the subject 10 is identified by the disease identification unit 303. The emergency transport instruction unit 306 transmits data including the location of the subject 10, the identified disease or a possible disease of the subject 10, and an instruction to transport the subject 10 by ambulance to, for example, a fire department, 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 measuring 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 measuring 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 judges whether or not 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 judges 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 judges 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 response device to talk to the target 10. In step S104, the operator 20 or the automatic response 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 response device and the target 10. Note that the response data may be created by the operator 20 or the automatic response 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 identifying 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 of Fig. 3. When it is determined in step S102 of Fig. 2 that the subject 10 has suffered from a stroke or has a possibility of suffering from a stroke, in step S200 of Fig. 3, the disease identifying unit 303 determines whether or not the subject 10 has a consciousness disorder based on the response data.

[0062] If there is an impairment 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 the subject may have subarachnoid hemorrhage.

[0063] If it is determined in step S202 that there is no headache symptom, the process proceeds to step S204, where the disease identifying unit 303 determines whether or not the subject 10 has a symptom of weakness based on the response data. If there is a symptom of weakness, the process proceeds to step S205, where the disease identifying unit 303 determines that the subject has cerebral hemorrhage or that the subject may have cerebral hemorrhage.

[0064] If it is determined in step S200 that there is no disturbance in consciousness, the process proceeds to step S206, where the disease identifying 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 identifying unit 303 determines that the subject has cerebral infarction or that the subject may have 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, since an abnormality was detected in the subject 10 in step S102, the emergency transport instruction unit 306 of the computer system 300 may output an instruction to transport the subject 10 by ambulance. Also, even if the disease of the subject 10 cannot be identified in step S107, since an abnormality was detected in the subject 10 in step S102, the emergency transport instruction unit 306 of the computer system 300 may output an instruction to transport the subject 10 by ambulance.

[0066] Although the present invention has been described above by way of the embodiment, the description and drawings forming part of this disclosure should not be understood as limiting the present invention. From this disclosure, various alternative embodiments, examples and operating techniques should become apparent to those skilled in the art. It should be understood that the present invention encompasses various embodiments and the like that are 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 Object communication device, 404 Operator communication device, 412 Response data transmission device

Claims

1. an abnormality detection unit that receives input of data on a physical condition of a subject and detects abnormalities in the subject; a response data receiving unit that receives response data of the target in response to a voice call; A disease identification unit that identifies a disease or a possible disease of the subject based on the response data; A health management system comprising:

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

3. The health management 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 of claim 4 , wherein the measurement device is located in a building in which 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 management system of claim 1 , wherein the response data includes the presence or absence of a response from the subject.

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 , wherein the subject's disease or possible disease identified by the disease identification unit is at least one of cerebral infarction, cerebral hemorrhage, and subarachnoid hemorrhage.

15. 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.

16. An abnormality detection unit of the computer system receives input of data on a physical condition of a subject and detects an abnormality in the subject; A response data receiving unit of the computer system receives response data of the target in response to a voice call; A disease identification unit of the computer system identifies a disease of the subject based on the response data; and A health management method comprising:

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

18. The health management method according to claim 16, wherein the abnormality is stroke or possibility of stroke.

19. The health management method according to claim 16, wherein the physical condition data is data measured by a measuring device.

20. 20. The health management method of claim 19, wherein the measurement device is located in a building in which the subject is present.

21. The health management method according to claim 19 , wherein the measurement device is attached to the subject.

22. The health management method according to claim 16 , wherein the response data receiving unit receives the response data when an abnormality in the subject is detected.

23. The health management method according to claim 16, further comprising a conversation instructing unit of a computer system instructing an operator to converse with the subject when an abnormality in the subject is detected.

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

25. The health management method of claim 16 , wherein the response data includes the presence or absence of a response from the subject.

26. The health management method of claim 16 , wherein the response data includes symptoms described by the subject through speech.

27. The health management method according to claim 26, 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.

28. The health management method according to claim 16 , 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.

29. The health management method according to claim 16 , wherein the subject's disease or possible disease identified by the disease identifying unit is at least one of cerebral infarction, cerebral hemorrhage, and subarachnoid hemorrhage.

30. The health management method according to claim 16, further comprising: when a disease or possible disease of the subject is identified, an emergency transport instruction unit of a computer system outputs an instruction to transport the subject by ambulance.

Images