JP6558700B2 - Disease diagnosis equipment - Google Patents

Description

  The present invention relates to a disease diagnosis apparatus. Specifically, it reflects vital signs that take into account individual differences among subjects, daily physical condition, and past medical history, enabling highly accurate disease diagnosis, contributing to the improvement of the quality of medical care for the elderly, and diagnosis by doctors. This relates to a disease diagnosis apparatus that also functions as a support tool.

  In recent years, as the demand for medical care for the elderly has increased, medical risks in medical institutions and home medical care after discharge from acute hospitals have increased. For example, in acute care hospitals, specialists in a specific field according to the symptoms are mainly examined for specific symptoms. On the other hand, convalescent and chronic care hospitals and home care are provided. In clinics, there is a growing number of cases where a single doctor deals with all illnesses of patients so that non-specialized fields are examined.

  That is, there is a problem that the difference in the diagnosis skills of the doctors is noticeable depending on the type of hospital to be examined.

  In addition, in the diagnosis of doctors, diseases that are likely to cause elderly people are a problem. Conventionally, in the diagnosis by a doctor, the diagnosis starts when the patient himself / herself tells the doctor a medical condition with subjective symptoms, such as “I have a stomachache” or “I have a headache”. That is, based on the “disease state”, a doctor examines, observes, and examines whether or not the patient is in a certain illness state.

  In this conventional medical examination, it is common to conduct a medical examination in a format in accordance with a pathological condition discrimination flow in which a medical condition is identified by proceeding with an inquiry for any specific medical condition.

  However, the elderly are poor in subjective symptoms and are often dementia patients. Therefore, the patient himself / herself does not complain of physical condition, and the pathological condition may not be identified along the pathological condition discrimination flow.

  In addition, for elderly people, even when performing diagnosis and examination based on vital information such as body temperature and pulse rate, the vital reaction is weak, and the reference value set uniformly regardless of age shows abnormal vitality It may be difficult to catch. The reference value is often set mainly in the acute phase of adults.

  For this reason, in the conventional pathological condition discrimination flow in which the pathological condition is identified by proceeding from the medical condition, there are many cases that are not suitable for elderly medical care. In addition, in the diagnosis of elderly people, a method for detecting vital abnormalities reflecting individual differences is required, but even with current diagnosis by doctors, there is no established diagnosis form that fully considers this point. Is the current situation.

  In recent years, there has been an increasing need for “family doctors” who can appropriately evaluate the health status of residents and determine the presence or absence of illnesses in nursing homes and nursing homes.

  Especially for elderly people, to detect early and accurate physical conditions such as fever and hypertension, as well as predisposing diseases such as respiratory failure, pneumonia, heart failure, myocardial infarction, heat stroke and dehydration. Is important.

  Many nursing homes are on days when doctors are absent, and the daily physical condition of the residents is basically checked by field staff. However, as described above, there are many cases in which elderly people have a disease without subjective symptoms, and it may be overlooked that the medical condition worsens due to a minute change in physical condition. Therefore, there is a strong demand for a mechanism that can quickly detect abnormalities from changes in daily health conditions.

  In addition, the number of people with lifestyle-related diseases such as hypertension and diabetes is increasing in a wide range of age groups, and it is necessary for medical institutions to remotely detect abnormalities based on daily physical condition changes in response to these diseases. Is growing.

  Furthermore, among the doctors in the subacute hospital, long-term care hospital, and clinics that provide home medical care, only a part of general specialist physicians with comprehensive knowledge of circulatory organs, respiratory organs, digestive organs, and endocrine are limited. Some doctors have difficulty in diagnostic skills other than their own specialty, and there are cases where the level of diagnosis varies.

  The difference in doctor's diagnostic skills as described above will have a major impact on the diagnosis of medical care for the elderly that requires specialized knowledge in a wide range of fields such as cardiovascular, respiratory, digestive, and endocrine. .

  Under such circumstances, there is a health management system that acquires diagnosis value information of a subject using a plurality of measuring devices and determines whether or not each diagnosis value is abnormal. For example, a health management system described in Patent Document 1 is provided. Proposed.

  Here, in the health management system described in Patent Document 1, diagnostic value information is obtained by a body composition measurement device, a blood pressure measurement device, a urine sugar measurement device, a blood glucose level measurement device, a body temperature measurement device, and the like connected to a user terminal. It is supposed to be

  In addition, each diagnosis value information is recorded in the database, and whether or not the measured diagnosis value information is abnormal is determined in consideration of a normal value standard of each user, for example, an average value of measurement information for three days. Has become.

  In addition, in the health management system described in Patent Document 1, in the conventional health condition determination, an absolute value serving as a reference is provided, and the rank of the health condition is determined based on the magnitude of the measured value with respect to the absolute value, Detection is to be performed.

JP 2011-227547 A

  However, the conventional mechanism for detecting abnormalities based on the measurement of vital information of the subject, including the health management system described in Patent Document 1, is not a detection that reflects the health condition of daily peaceful conditions. There was a problem in the accuracy of abnormality detection.

  For example, even when an abnormality is found in meals and excretion during an inquiry to the subject, vital information measured on that day is accumulated as data and included in the determination element as to whether there is an abnormality.

  Moreover, the measured value in which a big displacement is seen from the value of the vital information measured on the previous day is also accumulated as data and is similarly included in the determination element.

  Speaking of the contents of Patent Document 1 described above, there is a possibility that vital information in a state where there is an abnormality in physical condition is included in the calculation of a normal value to be compared with a measured value when determining abnormality. There was a problem that accuracy would be lowered.

  In addition, for example, when an abnormality is determined from body temperature information, there are many cases in the field where normal heat is used as a reference value and an abnormality occurs when the temperature exceeds a range of 1 ° C. It is assumed that there is an individual difference in the fluctuation range in the body temperature change from this normal heat, and it cannot be an appropriate reference value. In addition, there are individual differences in body temperature fluctuations due to seasonal room temperature differences. Further, the normal heat is often set to a fixed value of 36.5 ° C. or the like.

  That is, a person who should be determined to be normal even when the body temperature is large or a person whose abnormality should be detected even if the body temperature is small cannot be properly determined. With such a configuration, it is difficult to accurately evaluate the health condition.

  Further, in the conventional physical condition confirmation method in a nursing facility or the like, even if the body temperature is measured every day, the average value of the body temperature of the subject is calculated at most once a week. Therefore, the average value of the body temperature used for the physical condition confirmation of the subject does not reflect daily physical condition changes.

  In addition, in the conventional technology including the health management system described in Patent Document 1, it is possible to capture a change in the physical condition of the subject, but the content is to determine whether or not the subject is ill. Absent.

  Even if it is determined whether or not the subject is in a diseased state, the medical condition such as high blood pressure and high fever is a subject of judgment, but for example, it is possible to determine in detail the disease such as what medical condition the medical condition is due to It was not content.

  Until now, it is hard to say that medical care has fully taken into account information gathering and diagnosis methods for signs unique to elderly people different from young people. According to internal diagnostics (written by Kazuyoshi Giri), “In principle, there is nothing special about the examination of the elderly, and the same method as for young people is sufficient. However, considerable consideration is required in the results and ideas obtained. "a.

  That is, "results obtained", that is, various vital reactions weaken due to aging, and abnormalities cannot be detected with reference values consisting of probability statistics of adults in general, and "thinking", that is, no subjective symptoms, many dementia This is because it requires “considerable consideration” with respect to the characteristics unique to the elderly, such as the fact that it is difficult to differentiate the pathological conditions using conventional diagnostic methods with symptoms. This strengthening can be said to be a major problem in the future medical field. Thus, a diagnosis support system specialized in “elderly care” is strongly desired.

  The present invention was devised in view of the above points, and enables vital disease diagnosis that takes into account individual differences among subjects, daily physical condition, and past medical history, enabling highly accurate disease diagnosis, and The present invention relates to a disease diagnosis apparatus that contributes to improving the quality of medical care for people and also functions as a support tool for doctors' diagnosis.

  In order to achieve the above object, the disease diagnosis apparatus of the present invention records a vital measurement unit that measures the vital information of the subject, and information on the date of the day on which the vital information measured by the vital measurement unit is measured. Record vital health information including vital check information, subject age information, past medical history information, disease information, medication information, blood test information and lifestyle information. The basic health information recording section and the information on the results of the interview with the subject, the information on the results of the observation, or the health observation information including at least one of the information on the care records. A health observation information recording unit that records the information together with the date information of the day of recording, information on the type of disease including the name of the disease, information on the pathological factor defined for each type of disease, and information on the pathological factor A disease information recording unit for recording disease information including a confirmation item necessary for specifying a disease and a disease analysis flow information composed of an order of confirming the confirmation items, the vital information, and the health observation When at least one of the vital information and the health observation information checked based on the information or the basic health information satisfies a predetermined condition, the target person is based on the vital information, the health observation information, and the disease analysis flow information. A disease determination unit that determines whether or not a specific disease is present, and a display signal generation unit that transmits a signal that allows various information to be displayed on an external terminal screen.

  Here, the vital information of the subject can be acquired by the vital measurement unit that measures the vital information of the subject. The vital information here is, for example, measurement information such as body temperature, oxygen saturation (SpO2), upper and lower blood pressure, pulse pressure, pulse, respiratory rate, weight, and the like.

  Moreover, the vital information recording part which records the vital information measured by the vital measurement part together with the date information of the day of measurement is accumulated together with the measurement date information.

  In addition, basic health information that records basic health information including information on the subject's health checkup, information on the subject's age, history information, disease information, medication information, blood test information, and lifestyle information The recording unit can record various information that contributes to the diagnosis of a disease in the subject, including information on a health check. The past history information is information on a disease that the subject has had in the past, and the disease information is information on the disease that the subject is currently suffering from. The information on the health checkup includes, for example, height, weight, waist circumference, visual acuity, hearing information, chest X-ray examination, blood pressure measurement, urinalysis, anemia test, liver function test, blood, etc. Information on medium lipid test, blood glucose test, and electrocardiogram test. In addition, the information on the health check may include information on the presence or absence of subjective symptoms and objective symptoms. Furthermore, information on body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, body weight, respiratory rate, and blood glucose level measured at the time of a health check may be included.

  In addition, information on the results of interviews with the subject, information on the results of observations, or health observation information including at least one of information on care records, the date of interview, the date of observation or the date of recording of care records The date on which the information was acquired about the answers to the interview contents confirmed by the subject, the observation information on the state of the subject on that day, and the care record information on the intake water and excretion It becomes possible to record together with the information. The term “inquiry” here refers to a question about the patient's physical condition that the subject answers, such as questions about appetite, mood of the day, senses of the five senses, and consciousness level. The information of the observation result is information indicating the appearance on the subject when observing the subject, for example, the presence or absence of sweating, the color of the skin, the level of consciousness, and the presence or absence of swelling. Furthermore, the information on the care record is, for example, information on the amount of meal, the amount of inoculated water, the amount of urine, the contents of defecation, the contents of sleep, and the like. In addition, the information of the inquiry, observation, and care record may include items that overlap each content.

  In addition, information on the type of the disease including the name of the disease, information on the pathological factor defined for each type of disease, confirmation items necessary for identifying the disease, which are defined based on the information on the pathological factor, and the confirmation The disease information recording unit that records the disease information including the disease analysis flow information composed of the order of confirming the items enables the disease information to be recorded together with the pathological factor information for each type. In addition, disease analysis flow information composed of confirmation items necessary for specifying a disease and the order in which the confirmation items are confirmed is recorded for each type of disease. The pathological factor here is an element for judging whether the subject is in a specific disease state, and the confirmation item in the disease analysis flow information is the specific specific condition of the item. Means something. For example, information such as symptoms specific to the disease, abnormal vital values and signs. In addition, the confirmation item and the order in which the confirmation item is confirmed here is characterized in that confirmation is first advanced from information such as abnormal vital signs and signs, and then information on symptoms specific to the disease is confirmed. The disease analysis flow information may be set by a method used in an existing diagnosis, such as an elimination method, a matrix method, a score method, or a branching method. Furthermore, the confirmation items of the disease analysis flow information and the order of confirming the confirmation items here are set for the elderly, that is, for identifying the type of disease that is likely to be caused by the elderly. An elderly person here shows the subject who is 65 years old or older. Therefore, the identification of the disease by the disease determination unit using the disease analysis flow information, which will be described later, is performed specifically for the disease that is likely to occur by the elderly.

  In addition, if at least one of vital information and health observation information checked based on vital information, health observation information, or basic health information satisfies a predetermined condition, the target is based on vital information, health observation information, and disease analysis flow information. The disease determination unit that determines whether or not a person has a specific disease can determine whether or not the subject has a specific disease. In other words, whether or not the subject has suffered any disease, triggered by a change in vital information, a change in health observation information, or a change in vital information and health observation information checked based on basic health information. The determination is started. Further, whether or not a specific disease is present is determined by analyzing whether or not the vital information or health observation information of the subject satisfies the condition of the confirmation item in accordance with the disease analysis flow information. When the final confirmation item (condition) in the disease analysis flow for a specific disease is reached and the content of the confirmation item is satisfied, it is determined that the subject has the disease. In the analysis according to the disease analysis flow, it is judged with vital information or health observation information whether or not the conditions of the contents of the confirmation item are satisfied, so the judgment is made with high accuracy according to the daily physical condition of the target person and the health condition It becomes possible to do.

  In addition, by the display signal generator that transmits a signal that allows various information to be displayed on the external terminal screen, vital information, information on the result of the interview, information on the pathological factor of the subject, and the determination result of the disease determination unit Information or the like can be displayed on an external terminal.

  Information on the date on which the health observation information recording section interrogated the information on the results of interviews with the subject, the information on the results of observations, and the health observation judgment information by item for which the care records were judged to be normal or abnormal for each item. In the case of recording together with the result of the interview confirmed with the subject, the observation result and the care record, and the evaluation result regarding the result as normal or abnormal for each item can be recorded together with the information on the interview date. Note that each item here refers to one item among a plurality of items relating to an inquiry, a plurality of items relating to observation, and a plurality of items relating to care records.

  Further, based on the vital information recorded in the vital information recording unit and the item-specific health observation determination information recorded in the health observation information recording unit, the date when at least one abnormality is recorded in the content of the item-specific health observation determination information If a vital value processing unit that calculates the average value by taking the average value excluding the measured vital information is included, the vital information on the day when an abnormality is confirmed in any of the individual items of the health observation information is excluded. In addition, the average value can be determined. As a result, it is possible to confirm the average value information of the vital information of the subject's calm state with higher accuracy.

  In addition, when the vital information measured by the vital measurement unit is beyond the predetermined range from the vital information measured on the previous day, a vital abnormality determination processing unit is provided, which is based on a sudden change in vital information. An abnormality can be detected. For example, the measured body temperature value can be set to be detected as abnormal when the body temperature value of the previous day changes by 0.5 ° C. or more.

  When the vital abnormality determination processing unit classifies and determines the vital information measured by the vital measurement unit at least in three stages of normal, caution, and warning, the normal state determination and the caution or warning It is possible to determine an abnormal state with the contents divided into two. For example, taking body temperature as an example, the measured body temperature value is determined to be caution when the body temperature value has changed by 0.5 ° C. or more from the previous day's body temperature value, and the one that has been changed by 1.0 ° C. or more is determined to be a warning Can be. In this case, even when the same “abnormality” is determined, it is possible to determine according to the degree of the content. Further, as a result, it is possible to prevent frequent determinations that prompt a doctor's diagnosis with attention indicating a mild state even with the same abnormality. In addition, it is possible to provide a device that performs a more flexible diagnosis, such as starting analysis of a disease state by combining determinations of attentions of a plurality of vital information.

  In addition, when the vital average processing unit calculates the vital average value, if the average value excluding vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range, The information on the average value of vital information of the subject's calm state can be confirmed with high accuracy. In other words, not only abnormalities in the results of interviews, observations and care records, but also the values for days with sudden changes in vital information are not included in the basis for calculating the average, and the average of the subject's peaceful state It becomes easy to catch the value.

  Also, the contents of the health observation judgment information for each item from the vital average value on the day before the measurement day, which is the previous day's vital average value, and the past vital information recorded in the vital information recording unit Difference between the vital information measured on the day when at least one anomaly is recorded and the maximum and minimum values of vital information excluding vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range Is calculated, and a bandwidth information processing unit is recorded to record the bandwidth information on the day before the measurement date, which is the information on the upper and lower limits on the basis of the vital average on the day before the measurement date. Capture the range of vertical fluctuation of the individual's vital information, excluding the value of vital information on the day when some abnormality is found in the day and the value of vital information on the day of a sudden change from the previous day Door can be. That is, it is possible to set the fluctuation range of the individual vital information by grasping the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the vital information having individual differences. In this respect, there are individual differences in the vitals in the calm state, and the characteristic that the vitals change within the range of the belt-like displacement is used. The “previous day” here is not necessarily limited to the meaning of one day ago. For example, when setting the measurement date range information on a specific day, if the recording of vital information one day before is missing, the recording of vital information will be recorded on the most recent day before that. If there is, the configuration using the information of the day is also included.

  In addition, when the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds the bandwidth information on the day before the measurement date recorded in the bandwidth information processing unit, the vital abnormality determination processing unit When it is determined as a warning, it is possible to detect an abnormality based on the fluctuation range that can be regarded as a calm state of the subject and determine the warning. In other words, when the difference between the measured vital information value and the average value of the vital information on the previous day exceeds the fluctuation range of the subject's calm state, it can be detected as a warning. As a result, it is possible to detect anomalies with high accuracy in accordance with individual differences among subjects.

  In addition, when the vital abnormality determination processing unit determines that the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds a predetermined range, the vital Abnormalities can be detected based on the average value of information and the absolute value of displacement. That is, an abnormality can be detected using an absolute value set in advance as a fluctuation range in which the above-described subject can be regarded as being in a calm state.

  In addition, if the confirmation items necessary to identify the disease in the disease analysis flow information include specific interview information specific to the pathological factor, the specific inquiry information is included as a condition of the content of the confirmation item necessary to identify the disease. It will be used. In other words, in the disease analysis flow that proceeds by judging whether the conditions of the contents of the confirmation items are met, not only the vital information of the target person, but also the answers to the interviews that are essential for determining whether the disease is a specific disease Information is included.

  In addition, if there is no information that corresponds to the answer to the specific inquiry information in the health observation information, the display signal generating unit is a signal that enables the display of the specific inquiry information and message information that prompts the answer on the external terminal screen. When transmitting the message, it is possible to collect the answers to the specific inquiry information without any shortage and proceed with the disease analysis flow.

  In addition, after confirming the confirmation items necessary for identifying the disease in the disease analysis flow information, the disease determination unit confirms that the vital information or health observation information satisfies the conditions of the last confirmation item in the order of the confirmation items However, when it is determined that the subject has a specific disease, it is diagnosed that the subject is suffering from a disease whose analysis of the disease analysis flow has progressed to the end. In the disease analysis flow information, there is a configuration in which a plurality of confirmation items are written together. For example, when proceeding with the analysis to the next confirmation item, there are two confirmation items, and if one of the conditions of the contents is satisfied, the analysis of the next confirmation item may be performed.

  In addition, the disease determination unit classifies the subject who satisfies the predetermined condition into at least three categories of catecholamine release pathological group, shock pathological group or other pathological group based on vital information, vital information, health observation information and When determining whether or not a subject has a specific disease based on the disease analysis flow information, an object that satisfies a predetermined condition, such as an abnormality confirmed by vital information at a specific stage prior to the disease The person is first placed in one of three disease states. The other pathological groups mentioned here include, for example, cerebral hemorrhage, subarachnoid hemorrhage, which is a head and neck problem, hypertensive encephalopathy, brain stem infarction, cerebellar infarction, pulmonary embolism, which is a respiratory problem, and cardiogenicity. Pulmonary edema, circulatory system pericardial effusion, cardiac tamponade, dissecting aortic aneurysm, vagus reflex syncope, sinus failure syndrome, atrioventricular block, sinus tachycardia, atrial fibrillation, supraventricular tachycardia Symptoms, extrasystoles, ventricular tachycardia, acute urinary retention, which is a gastrointestinal problem, diabetic ketoacidosis as seen from abnormal laboratory data, heat stroke, systemic problems, hyperthyroidism, thyroid function Such as hypoxia. The pathological conditions listed here are the pathological conditions that are likely to be applied to the elderly, together with the catecholamine release pathological group and the shock pathological group described above, and by identifying and classifying these, the pathological conditions specialized for the elderly are grasped. It becomes possible. Furthermore, in the present invention, based on the vital information and health observation information of the subject, the disease determination unit can further narrow down the types of disease states by further limiting the classification from the three disease state groups. .

  In addition, during or at the end of the confirmation items necessary to identify the disease in the disease analysis flow information, the vital information or health observation information does not satisfy the conditions of the content of the confirmation item, and the subject is in the catecholamine release pathology group or shock pathology If the subject is determined to be a catecholamine release pathological group or a shock pathological group, even if the illness cannot be identified, the disease determination unit will identify the candidate pathological group information. It is possible to present the possibility of the disease considered from there. In addition, the catecholamine release pathological condition group and the shock pathological condition group correspond to the pathological condition group in which elderly people are likely to be affected.

  Also, in the middle or at the end of the confirmation items necessary for identification of diseases in the disease analysis flow information, vital information or health observation information does not meet the conditions for the content of the confirmation items, and the subject is classified into other disease state groups. If the disease determination unit determines that the patient has a corresponding medical condition based on the content of the vital information, information indicating that the subject has a specific medical condition even if the disease cannot be specified. Can be presented. As described above, in the present invention, the disease determination unit may further narrow down the types of disease states based on the vital information and health observation information of the subject, further limiting the classification from the three disease state groups. Is possible.

  In addition, when the disease determination unit makes a warning determination for the vital information, the vital abnormality determination processing unit makes a warning determination for a plurality of vital information, or for a combination of the predetermined vital information When determining whether or not the subject has a specific disease based on vital information, health observation information, and disease analysis flow information, the determination of attention or warning in the vital information Then, an analysis is started in accordance with a disease analysis flow for determining whether or not the subject is suffering from any disease.

  In addition, when the disease determination unit determines that the vital information is normal for the vital information, and the numerical value calculated by combining at least two types of vital information satisfies a predetermined condition, the vital information, When deciding whether a subject has a specific disease based on health observation information and disease analysis flow information, based on the results obtained from a combination of certain vital information, Predict and start analysis along the disease analysis flow. Here, “the numerical value calculated by combining at least two types of vital information satisfies a predetermined condition” means, for example, that the pulse pressure value is 50% or more of the systolic blood pressure (maximum blood pressure) value. This is a state where the “pulse pressure” has been reached. This state is calculated from pulse pressure (maximum blood pressure minus minimum blood pressure) and blood pressure (maximum blood pressure) in the vital information.

  In addition, if the disease determination unit records at least one abnormality in the contents of the item-specific health observation determination information, whether the subject is a specific disease based on vital information, health observation information, and disease analysis flow information When determining whether or not the subject is abnormal in the health observation information, analysis according to the disease analysis flow for determining whether or not the subject has suffered any disease Be started.

  In addition, based on the basic health information recorded in the basic health information recording section and the sick information recorded in the sick information recording section, it is determined whether or not the subject is likely to have multiple pathologies in the sick information. About the vital information related to the pathological factors of the pathological condition determined by the pathological warning level processing unit and the pathological warning level processing unit which are determined, set the warning level for each pathological condition, and record in the basic health information record A warning pathological condition check unit that checks whether or not the vital abnormality determination processing unit has determined attention, or whether or not an abnormality has been recorded in the item-specific health observation determination information regarding the health observation information related to the pathological factor The disease determination unit checks that the vigilance condition check unit checks the vital information regarding the vital information, or checks the health observation information. When it is checked that an abnormality has been recorded in the item-specific health observation determination information, when determining whether the subject has a specific disease based on vital information, health observation information, and disease analysis flow information Based on the basic health information of the subject, the warning level of the disease that the subject is likely to take is raised, and vital abnormalities relating to the pathological factors of the disease and abnormal health observation information are confirmed. As a result, it is possible to efficiently analyze the presence or absence of easily afflicted diseases corresponding to individual characteristics such as the subject's illness and history, blood test results, and lifestyle habits.

  In addition, whether or not the difference between the vital information measured by the vital measurement unit and the vital value on the day before the measurement day exceeds the bandwidth information on the day before the measurement date recorded by the bandwidth information processing unit. Whether the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds the predetermined range, the vital information measured by the vital measurement unit is within the predetermined range from the vital information measured the previous day. It is determined whether the vital information measured by the vital measurement unit exceeds a predetermined absolute value, or whether the vital information measured by the vital measurement unit falls below a predetermined absolute value. When deciding whether or not the conditions of the confirmation items necessary to identify the disease in the analysis flow information are satisfied, based on the measured vital information, the confirmation items of the disease analysis flow information It becomes that whether or not the condition contents is determined. That is, for example, when the content of the confirmation item is “increased body temperature”, whether the difference between the body temperature value of the day and the vital average value of the previous day exceeds the range of the bandwidth information of the previous day, Whether the difference between the body temperature value and the previous day's vital average value exceeds a predetermined temperature range (for example, a range of 0.5 ° C above and below the previous day's vital average value) Whether the difference from the body temperature value of the previous day exceeds a predetermined temperature range, or whether the body temperature value of the day exceeds the absolute value (for example, exceeds 40 ° C.) or less than the absolute value (for example, 35 ° C.) The condition of whether or not If any of the conditions is satisfied, it is determined that there is “an increase in body temperature”, and the analysis proceeds from the analysis of the confirmation item to the analysis of the next confirmation item.

  In addition, when the disease determination unit determines whether or not the condition of the confirmation item necessary for specifying the disease in the disease analysis flow information is satisfied based on the basic health information recorded in the basic health information recording unit, The basic health information including the personal characteristics of the subject person is used to determine whether or not the content of the confirmation item is satisfied.

  In addition, when the disease determination unit determines whether or not the condition of the confirmation item necessary for specifying the disease in the disease analysis flow information is satisfied based on the information of the subject's response to the specific inquiry information, The condition of the content of the confirmation item is determined based on the information of the subject's answer to the inquiry information. That is, for example, when “consciousness level state” is related to the contents of the confirmation item, the result of the item of the consciousness level check of the subject in the health observation information or the specific inquiry information is confirmed. If any of the results is, for example, “poor response”, it is determined that “the level of consciousness has decreased” and the condition of the confirmation item is satisfied, and the analysis proceeds to the analysis of the next confirmation item. It will be something that goes on.

  In addition, the disease determination unit narrows down the relevant disease states among the plurality of disease states of the disease information based on the history information or lifestyle information of the basic health information recorded in the basic health information recording unit, and vital information When determining whether or not a subject is a specific disease based on health observation information and disease analysis flow information, the disease recorded in the pathological information recording unit is combined with the individual characteristics of the subject. Therefore, analysis of diseases that are likely to occur is performed. As a result, it is possible to efficiently identify a disease that is subject to difference.

  In addition, a combination of the vital information determined by the vital abnormality determination processing unit as caution or warning and the health observation information that is the basis determined as abnormal in the comprehensive health observation determination information is obtained from the disease determination unit. When the relevant pathological condition is narrowed down and the target person is determined to have a specific illness based on vital information, health observation information and illness analysis flow information, the vitality that has been determined to be abnormal Based on the information and health observation information, the disease that the subject may have is analyzed. As a result, since the analysis is performed from the part where the subject has an abnormality, it is possible to efficiently identify the disease on which the subject is affected.

  In addition, when the disease determination unit determines that the subject has a specific disease, the subject determines that the subject may have a catecholamine release condition group or a shock condition group, or the subject has entered another disease group If the display signal generator determines that it has been categorized and has a corresponding medical condition based on the content of vital information, the display signal generator displays the disease information of the specific disease, and the disease is included in the catecholamine release condition group or shock condition group In the case of transmitting a signal that allows information or medical condition information to be displayed on an external terminal screen, information on a specific result of the subject's disease can be displayed on the external terminal. The external terminal here is not limited to a terminal directly connected to the disease diagnosis apparatus, but may be a terminal connected via the Internet.

  In addition, disease state identification information in a flowchart format that includes disease information, vital value condition information related to the disease, condition information, specific inquiry information specific to the disease, and information on conditions for answering specific inquiry information If the content of the vital information determined by the vital abnormality determination processing unit as a caution or warning is used as the starting point of the flowchart, the abnormal condition of the vital condition or health observation is provided. Even when the information becomes abnormal and the disease determination unit cannot identify the disease, it is possible to predict the disease that the subject is suffering according to the answer to the medical condition confirmation inquiry information in the flowchart format. For example, it is assumed that a vital warning is detected in a subject with a high fever symptom of 38 ° C. or higher, but the disease determination unit cannot identify the disease. Here, the subject is subjected to multiple medical condition confirmation interviews according to `` high fever '' recorded in the pathology classification flowchart recording unit, and multiple items indicating the state of the answer or face color of `` Yes '' or `` No '' Proceed with the interview to select from (degree of complexion). For example, a patient who has diarrhea that is not bloody stool includes contents such as “Does diarrhea occur during sleep?”, “No”, “I suspect irritable bowel syndrome”. As responses are advanced, the disease predicted from the flow of responses up to that point is recorded in the pathological condition discrimination flowchart recording unit, and the result can be shown. In addition, the confirmation item for proceeding the flowchart format includes not only the contents of the medical condition but also the contents of whether or not the condition of the vital value associated with the individual illness is satisfied. In addition, the above is configured to reach the pathological condition predicted by answers to multiple medical condition confirmation interviews. However, the answer to the first medical condition confirmation interview includes the content that reaches the candidate pathological condition. May be. In addition, the analysis of the pathological condition discrimination flowchart proceeds with “vital information in which an abnormality has been confirmed” as a starting point. For example, in the above-described example, it is configured such that an inquiry is made based on a vital abnormality such as “the body temperature is 38 ° C. or higher” and confirmation of whether the vital value satisfies a predetermined condition. Such a pathological differentiation flowchart starting from vital abnormality is not found in existing ones, and is an effective tool in disease prediction. Of course, an aspect starting from any pathological condition as seen in a known pathological condition discrimination flowchart may be included.

  In addition, the disease information recording unit records at least information including pathological name, concept, cause, discrimination, disease state, symptom, examination, treatment and vital value condition information related to the disease, and vital value condition And a disease dictionary unit configured to be able to search for pathology by collating vital information recorded in the vital information recording unit, and the display signal generation unit displays information recorded in the disease dictionary unit on an external terminal screen. When transmitting a signal that can be displayed, it is possible to search for a disease name or symptom based on the vital information of the subject. In other words, this is a disease dictionary in which information can be searched based on vital abnormality, which is different from the disease dictionary searched from the existing “symptoms” and “disease names”. For example, a vital anomaly can be retrieved from a plurality of vital anomalies such as a single vital such as “high blood pressure”, or a combination of two such as “high blood pressure and respiratory rate”. Of course, since there may be no vital abnormality, in that case, it is possible to search from “symptoms” and confirm the contents as in a conventional disease dictionary. In addition, it becomes possible to easily examine detailed information about the disease on which the subject is suffering and the diseases in the candidate disease state group. In addition, the determination result of the disease determination unit can be used for diagnosis.

  In addition, information that should be observed carefully from vital information and health observation information based on the subject's past history information, disease information, and lifestyle information recorded in the basic health information recording section is information that requires observation. As well as a thermal table processing unit that creates a thermal table by listing the information of each item of observation information and date information, and the display signal generation unit was created by the thermal table processing unit In the case of transmitting a signal that makes it possible to display the thermal type table on an external terminal screen, it is possible to easily confirm the original thermal type table in which individual information to be watched is collected. In other words, because it is a thermal table that extracts vital information and health observation information that should be observed daily based on the subject's past history, current disease, and lifestyle information, it is used as reference information at the time of diagnosis by an actual doctor. It becomes very useful information. In addition, the caregiver can easily confirm the points to be watched carefully when caring each subject person.

  In addition, a diagnosis result information recording unit that records information of a doctor's diagnosis result for the subject is provided, and the bandwidth information processing unit is based on the content of the diagnosis result information recorded in the diagnosis result information recording unit. In the case of correcting the content of the bandwidth information, the content of the bandwidth information before the measurement date is appropriately corrected, and the accuracy of the abnormality detection of the vital information using the bandwidth information before the measurement date can be further enhanced.

  The doctor's diagnosis result information here means that the subject whose daily bandwidth information is recorded daily is actually diagnosed by the doctor and is diagnosed as having no abnormality (not a specific condition). Or information on the result of diagnosis of an abnormality (something ill). Further, the correction of the day-width information before the measurement date based on the content of the information of the diagnosis result of the doctor is, for example, as follows.

  As an example, the vital value on the previous day of the subject's body temperature on a certain measurement day (that is, the previous day's normal temperature) is 36.5 ° C, and the measurement day's day width at body temperature is in the range of 0.4 ° C above and below the previous day's normal temperature. Suppose that When the measured value of the subject's body temperature is 37.1 ° C. (+ 0.6 ° C.), the vital abnormality determination processing unit determines that the body temperature is abnormal (warning) because the body temperature exceeds the day width before the measurement date. When the subject is actually diagnosed by a doctor and diagnosed as having no abnormality, “normal” is recorded in the diagnosis result information recording unit. At this point, the bandwidth information processing unit corrects the subject's day width before the measurement day from the range of 0.4 ° C above and below the normal temperature to the range of 0.6 ° C above and below the new day Record as width information. The contents of the recorded bandwidth information before the measurement date are reflected in the bandwidth settings after the next day. In other words, the difference between the body temperature value when obtaining the diagnosis result that there is no abnormality and the previous day's normal fever as a reference at that time is corrected so as to be reflected in the subject's new day-a-day width information. . Here, the upper and lower temperature ranges are corrected from the upper and lower ranges of 0.4 ° C. to the upper and lower ranges of 0.6 ° C., but this set range may be corrected in more detail. That is, only the temperature range above the previous day's normal temperature is corrected, and after the correction, the range of 0.6 ° C above the previous day's normal temperature and 0.4 ° C below the previous day's normal temperature are recorded as the day width information on the measurement day. It may be a thing. That is, only the side that actually exceeds the range of the day-width information on the day before the measurement day is corrected based on the previous day's normal heat. In addition, although the body temperature was taken as an example, the same configuration can be configured such that the day width information before the measurement date is corrected based on the record of the diagnosis result of the doctor in the same manner with other vital information.

  As another example, the vital value on the previous day of the subject's body temperature on a certain measurement day (that is, the previous day's normal temperature) is 36.5 ° C, and the measurement day's day width at body temperature is in the range of 0.4 ° C above and below the previous day's normal temperature. Suppose that If the measured value of the subject's body temperature is 36.8 ° C (+ 0.3 ° C), the vital abnormality determination processing unit determines that the body temperature is normal (no abnormality) because the body temperature does not exceed the width of the day before the measurement date. To do. When this subject is actually diagnosed by a doctor and diagnosed as having a disease caused by an inflammatory reaction (fever), the diagnosis result information recording section “is abnormal (some disease)” Is recorded. At this time, the bandwidth information processing unit corrects the subject's day width before the measurement day from the range of 0.4 ° C above and below the normal temperature to the range of 0.3 ° C above and below the new day Record as width information. The contents of the recorded bandwidth information before the measurement date are reflected in the bandwidth settings after the next day. In other words, the difference between the body temperature value obtained when the diagnosis result that there is an abnormality and the previous day's normal fever as a reference at that time is corrected to be reflected in the subject's new day width information on the previous measurement day. . Here, the upper and lower temperature ranges are corrected from the upper and lower ranges of 0.4 ° C. to the upper and lower ranges of 0.3 ° C., but this set range may be corrected in more detail. That is, only the temperature range above the previous day's normal temperature is corrected, and after correction, the range of 0.3 ° C above the previous day's normal temperature and 0.4 ° C below is recorded as the day width information on the measurement day. But you can. That is, only the side that actually exceeds the range of the day-width information on the day before the measurement day is corrected based on the previous day's normal heat. In addition, although the body temperature was taken as an example, the same configuration can be configured such that the day width information before the measurement date is corrected based on the record of the diagnosis result of the doctor in the same manner with other vital information.

  Thus, when the bandwidth information processing unit corrects the content of the bandwidth information before the measurement date based on the content of the diagnostic result information recorded in the diagnostic result information recording portion, the bandwidth information before the measurement date On the other hand, information by an actual doctor's diagnosis is fed back, and can be used as a more accurate abnormality detection reference. That is, it is a mechanism that automatically improves the accuracy of abnormality detection reflecting individual differences.

In addition, when calculating the vital average value, the vital average processing unit calculates the vital information measured on the day when at least one abnormality is recorded in the contents of the item-specific health observation information, and the value of the vital information on the previous day. When taking the average value of vital information for the most recent 7 days excluding vital information whose displacement exceeds a predetermined range, information on the average value of vital information reflecting the current status of the subject can be confirmed. Become.

  In addition, the bandwidth information processing unit calculates the bandwidth information before the measurement date for the past 30 days of vital information from the past vital information recorded in the vital information recording unit. In this case, it is possible to set a fluctuation range that reflects the current state of the subject person and that the subject person can be considered to be in a calm state. More specifically, it can be the fluctuation range of the vital information of the subject reflecting the change in physical condition accompanying the change in climate.

  In addition, when the vital average processing unit calculates the vital average every day, the average value of the daily vital information of the subject can be acquired. As a result, it is possible to grasp the progress of the physical condition more specifically.

  In addition, when the bandwidth information processing unit calculates daily bandwidth information before the measurement date, it is possible to capture the fluctuation range of vital information according to the daily physical condition change of the subject. As a result, the abnormality can be detected with higher accuracy.

  Further, when the vital information includes at least one information selected from body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, respiratory rate, and body weight, body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, The abnormality of the subject can be detected based on either the respiratory rate or the weight.

  In addition, when the vital abnormality determination processing unit determines that an abnormality occurs when the displacement from the body temperature value measured on the previous day with respect to the body temperature value measured by the vital measurement unit is 0.5 ° C. or more, the measured body temperature As for the value of, an abnormality can be detected with a sudden change of 0.5 ° C. from the body temperature value of the previous day.

  In addition, the vital abnormality determination processing unit determines an abnormality when the body temperature value measured by the vital measurement unit is more than 0.5 ° C. from the body temperature measured on the previous day, and the determination level corresponds to attention. When the displacement is 1.0 ° C. or higher and the notification that the determination level corresponds to the warning, the abnormality is detected in two stages and can be processed.

  In addition, when the vital value processing unit calculates an average value excluding temperature information whose displacement from the temperature information value of the previous day is 0.5 ° C. or more and calculates the reference temperature average value on the previous day of measurement, The information on the average value of the body temperature in the calm state of the subject can be confirmed with high accuracy.

  Also, the health observation determination information for each item is selected from the reference temperature average value on the day before the measurement date, which is the temperature average value on the day before the measurement of the vital information, and the past temperature information recorded in the vital information recording unit. The maximum and minimum values of temperature information excluding the temperature information measured on the day when at least one abnormality is recorded in the contents and the temperature information whose displacement from the temperature information value of the previous day is 0.5 ° C or more, Vital abnormality determination is provided with a temperature band information processing unit that calculates the difference and records it as temperature band width information on the day before the measurement date, which is the information on the upper and lower limits on the day before the measurement day. The processing unit issues a warning if the difference between the temperature information measured by the vital measurement unit and the reference temperature average value on the day before the measurement date exceeds the temperature band information on the day before the measurement date recorded in the temperature band information processing unit. When judging, health observation information Some abnormality and temperature values of the day to be observed, a state except for the value of the body temperature of the date of a previous day of abrupt changes, it is possible to catch a width in the vertical variation of the body temperature of the subject individual at medium. That is, it is possible to set the fluctuation range of the individual body temperature by capturing the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the body temperature having individual differences.

  As the contents of the present invention, means for solving the problems described below are also considered.

  In order to achieve the above-described object, the health condition determination apparatus of the present invention records a vital measurement unit that measures vital information of a subject and information on the date of the day on which the vital information measured by the vital measurement unit is measured. A vital information recording unit, and an interview information recording unit that records the results of multiple interviews regarding at least meals and excretion for the subject together with information on the date of the interview date, which is determined as normal or abnormal for each item, Based on the vital information recorded in the vital information recording unit and the inquiry determination information recorded in the inquiry information recording unit, vital information measured on the day when at least one abnormality is recorded in the contents of the inquiry determination information Vital average processing unit that takes the average value and calculates the vital average value, and vital information measured by the vital measurement unit To and an abnormality determination unit that determines an abnormality when the vital information measured exceeds a predetermined range.

  Here, the vital information of the subject can be acquired by the vital measurement unit that measures the vital information of the subject. The vital information here is, for example, measurement information such as body temperature, oxygen saturation (SpO2), upper and lower blood pressure, pulse pressure, pulse, weight, and the like.

  Moreover, the vital information recording part which records the vital information measured by the vital measurement part together with the date information of the day of measurement is accumulated together with the measurement date information.

  In addition, an interview information recording unit that records at least the results of multiple interviews related to meals and excretion as normal or abnormal for each item together with information on the date of the interview is confirmed with the subject. It is possible to record the results of the interview contents and the evaluation results regarding the results as normal or abnormal together with the information on the interview date. The contents of the inquiry are basically those related to meals and excretion, but the contents include a plurality of finely divided contents. For example, an inquiry regarding the face color, mood, senses of the five senses, etc. of the subject on that day may be included.

  Also, based on the vital information recorded in the vital information recording unit and the inquiry determination information recorded in the inquiry information recording unit, excluding vital information measured on the day when at least one abnormality is recorded in the contents of the inquiry determination information An average value excluding vital information on the day on which the abnormality is confirmed as a result of the inquiry can be determined by the vital value processing unit that takes the average value and calculates the vital value. As a result, it is possible to confirm the average value information of the vital information of the subject's calm state with higher accuracy.

  In addition, abnormalities can be detected on the basis of sudden changes in vital information by the abnormality determination processing unit that determines abnormalities when the vital information measured by the vital measurement unit exceeds the predetermined range from the vital information measured on the previous day It will be something. For example, when measuring body temperature as an example of vital information and sudden displacement, the measured body temperature value can be set to be detected as abnormal when the body temperature value of the previous day changes by 0.5 ° C. or more. .

  In addition, when the vital average processing unit calculates the vital average value, if the average value excluding vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range, The information on the average value of vital information of the subject's calm state can be confirmed with high accuracy. That is, not only the abnormality of the result of the inquiry but also the value of the day when the vital information suddenly changed is not included in the basis for calculating the average value, and it becomes easy to grasp the calm state of the subject.

  Moreover, when the vital average processing unit calculates the vital average, the vital information measured on the day when at least one abnormality is recorded in the contents of the inquiry determination information and the displacement from the value of the vital information on the previous day are When the average value of vital information for the most recent seven days excluding vital information exceeding a predetermined range is taken, information on the average value of vital information reflecting the current state of the subject can be confirmed.

  In addition, at least one abnormality in the contents of the inquiry determination information from the vital average value on the day before the measurement day and the past vital information recorded in the vital information recording unit. Calculating the difference between the vital information measured on the day of recording and the maximum and minimum values of vital information excluding vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range, If you have a bandwidth information processing unit that records the bandwidth information for the day before the measurement date, which is the upper and lower limit width information based on the vital value on the day before the measurement date, if there is any abnormality in the inquiry determination information It is possible to grasp the range of vertical fluctuation of the individual person's vital information in a state excluding the value of the vital information on the day seen and the value of the vital information on the day when there was a sudden change from the previous day. That is, it is possible to set the fluctuation range of the individual vital information by grasping the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the vital information having individual differences.

  Also, if the difference between the vital information measured by the vital measurement unit and the vital average value exceeds the measurement date width information of the vital measurement date recorded in the measurement date width information processing unit When it is determined that there is an abnormality, it is possible to detect the abnormality based on a fluctuation range that allows the subject to be considered to be in a calm state. That is, when the difference between the value of the measured vital information and the average value of the vital information on the day exceeds the fluctuation range that the subject can be considered to be in a calm state, it is detected as an abnormality. Can do. As a result, it is possible to detect an abnormality with high accuracy in accordance with the characteristics of the subject.

  In addition, the bandwidth information processing unit calculates the bandwidth information before the measurement date for the past 30 days of vital information from the past vital information recorded in the vital information recording unit. In this case, it is possible to set a fluctuation range that reflects the current state of the subject person and that the subject person can be considered to be in a calm state. More specifically, it can be the fluctuation range of the vital information of the subject reflecting the change in physical condition accompanying the change in climate.

  In addition, when the bandwidth information processing unit calculates the bandwidth information before the measurement date for the vital information of all days recorded in the past vital information recorded in the vital information recording unit, it accumulates from the start of measurement. Reflecting the recorded information, it is possible to set a fluctuation range in which the subject can be regarded as being in a calm state.

  In addition, when the abnormality determination processing unit determines that an abnormality occurs when the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds a predetermined range, the average of the vital information on the previous day An abnormality can be detected based on the value and the absolute value of the displacement. That is, an abnormality can be detected using an absolute value set in advance as a fluctuation range in which the above-described subject can be regarded as being in a calm state.

  In addition, when an initial reference value recording unit that records vital information of the subject's health check as an initial reference value is provided, normality or abnormality can be determined based on the vital information of the health check. For example, at the beginning of measurement, the number of data measured for vital information is small, and the average value of vital information cannot be obtained or cannot be averaged. It can be set as a reference.

  In addition, the abnormality determination processing unit, the vital average value processing unit, the deviation from the value of the vital information and the previous day vital information measured on the day when at least one abnormality is recorded in the contents of the inquiry determination information is within a predetermined range The difference between the vital information measured by the vital measurement unit and the initial reference value at the stage before the vital average can be calculated by taking the average of the last seven days of vital information excluding the vital information When it is determined that an abnormality is present when the value exceeds a predetermined range, the abnormality can be detected on the basis of vital information measured in advance through a health check and the absolute value of the displacement.

  In addition, when the abnormality determination processing unit determines that the vital information measured by the vital measurement unit is abnormal when the vital information exceeds or falls below a predetermined absolute value, the vital information value that is clearly regarded as abnormal physical condition is abnormal. It is possible to make a determination. For example, when vital information is body temperature, it is the structure which determines with the measured value becoming 35 degrees C or less or 40 degrees C or more as abnormality.

  In addition, when the vital average processing unit calculates the vital average value on the day before the measurement day every day, the average value of the daily vital information of the subject can be acquired. As a result, it is possible to grasp the progress of the physical condition more specifically.

  In addition, when the bandwidth information processing unit calculates daily bandwidth information before the measurement date, it is possible to capture the fluctuation range of vital information according to the daily physical condition change of the subject. As a result, the abnormality can be detected with higher accuracy.

  When the abnormality determination processing unit notifies the determined abnormality in at least two stages, the handling after detecting the abnormality can be various. For example, if the degree of displacement of the vital information value is small, it is notified as caution, and if the displacement is large, it is notified as a warning, so that all abnormalities do not have to be processed uniformly. Become. As a result, when an abnormality is detected, it is possible to efficiently handle a countermeasure after the abnormality is detected, such as whether or not a doctor's check is required immediately.

  In addition, when the vital information includes at least one piece of information selected from body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, and body weight, any of body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, body weight Based on this, it is possible to detect the abnormality of the subject.

  Further, when the vital information is at least information on body temperature, it is possible to detect an abnormality of the subject based on the body temperature.

  In addition, when the vital information is information on body temperature and at least one information selected from oxygen saturation, pulse, pulse pressure, and blood pressure, oxygen saturation, pulse, pulse pressure, Abnormalities can be detected based on any of the blood pressures.

  In addition, when the abnormality determination processing unit determines that there is an abnormality when the displacement from the body temperature value measured on the previous day with respect to the body temperature value measured by the vital measurement unit is 0.5 ° C. or more, As for the value, it becomes possible to detect an abnormality with a sudden change of 0.5 ° C. from the body temperature value of the previous day.

  In addition, the abnormality determination processing unit determines that an abnormality occurs when the displacement from the body temperature measured on the previous day for the body temperature value measured by the vital measurement unit is 0.5 ° C. or more, and the determination level corresponds to caution. When the displacement is 1.0 ° C. or higher, and the notification that the determination level corresponds to the warning, the abnormality can be detected and processed in two stages.

  In addition, when the vital value processing unit calculates an average value excluding temperature information whose displacement from the temperature information value of the previous day is 0.5 ° C. or more and calculates the reference temperature average value on the previous day of measurement, The information on the average value of the body temperature in the calm state of the subject can be confirmed with high accuracy.

  Further, at least one of the contents of the inquiry determination information is selected from the reference temperature average value on the day before the measurement day, which is the temperature average value on the day before the vital measurement, and the past temperature information recorded in the vital information recording unit. Calculate the difference between the temperature information measured on the day when the abnormality was recorded and the maximum and minimum values of the temperature information excluding the temperature information whose deviation from the temperature information value of the previous day is 0.5 ° C or more. When the temperature band information processing unit that records the temperature band width information on the day before the measurement date, which is the information on the upper and lower widths based on the reference temperature average value on the day before the measurement date, Thus, it is possible to capture the range of fluctuations in the body temperature of the subject individual in a state excluding the body temperature value on the day when some abnormality is observed and the body temperature value on the day when there was a sudden change from the previous day. That is, it is possible to set the fluctuation range of the individual body temperature by capturing the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the body temperature having individual differences.

  The difference between the temperature information measured by the vital measurement unit and the reference temperature average value on the day before the measurement day exceeds the temperature band information on the day before the measurement date recorded in the temperature band information processing unit. When it is determined that there is an abnormality in the case, it is possible to detect the abnormality on the basis of the fluctuation range of the body temperature that can be considered that the subject is in a calm state. That is, when the difference between the measured body temperature value and the average value of the body temperature on the previous day (the previous day's normal heat) exceeds the fluctuation range of body temperature that the subject can be considered to be in a calm state. , Can be detected as abnormal.

  The vital information is information on at least body temperature, and the abnormality determination processing unit determines that the difference between the temperature information measured by the vital measurement unit and the vital average value related to temperature is 0.5 ° C. or more. In such a case, an abnormality can be detected based on an average value of body temperature (normal heat) and 0.5 ° C., which is an absolute value of body temperature displacement.

  Further, the vital information is at least information on body temperature, and the abnormality determination processing unit is abnormal when the difference between the temperature information measured by the vital measurement unit and the initial reference value average value regarding the temperature is 0.5 ° C. or more. In the case of determination, an abnormality can be detected based on a body temperature value measured in advance by a health check and an absolute value of body temperature displacement of 0.5 ° C.

  In addition, the vital information is information on at least oxygen saturation, and the vital average processing unit takes the average value except for the oxygen saturation whose displacement from the previous day's oxygen saturation value exceeds 2%, and the reference oxygen saturation When calculating the degree average value, the information on the average value of the oxygen saturation in the calm state of the subject can be confirmed with higher accuracy.

  Also, the vital information is at least pulse information, and the vital average processing unit calculates an average value excluding the pulse whose displacement from the pulse value of the previous day is 10 or more, and calculates the reference pulse average value on the day before the measurement day In this case, the information on the average value of the pulse of the subject's calm state can be confirmed with higher accuracy.

  In addition, at least one abnormality in the contents of the inquiry determination information from the reference pulse average value on the day before the measurement day which is the pulse average value on the day before the vital measurement and the past pulse recorded in the vital information recording unit The difference between the pulse information measured on the day of recording and the maximum and minimum values of the pulse excluding the pulse whose displacement from the previous day's pulse value is 10 or more is calculated, and the reference pulse average the day before the measurement day If you have a pulse width information processing unit that records information as the pulse width information on the day before the measurement date, which is the upper and lower width information based on the value, the date on which any abnormality is found in the inquiry determination information It is possible to capture the range of up and down fluctuations of the individual pulse of the subject, excluding the value of the pulse and the value of the pulse on the day when there was a sudden change from the previous day. That is, it is possible to set the fluctuation range of the individual pulse by capturing the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the pulse having individual differences.

  Also, when the difference between the pulse measured by the vital measurement unit and the reference pulse average value on the day before the measurement date exceeds the pulse band width information on the day before measurement recorded in the pulse band width information processing unit When it is determined that there is an abnormality, it is possible to detect the abnormality based on the fluctuation range of the pulse that can be regarded as the subject being in a calm state. That is, when the difference between the measured pulse value and the average value of the previous day's pulse exceeds the fluctuation range of the pulse that the subject can be considered to be in a calm state, it is detected as an abnormality. can do.

  The vital information is information on at least pulse pressure, and the vital average value processing unit takes an average value excluding the pulse pressure whose displacement from the value of the previous day's pulse pressure is 10 or more. When calculating the average value, information on the average value of the pulse pressure in the calm state of the subject can be confirmed with higher accuracy.

  In addition, based on the reference pulse pressure average value on the day before the measurement day, which is the pulse pressure average value on the day before the vital measurement, and the past pulse pressure information recorded in the vital information recording unit, the content of the inquiry determination information Calculate the difference between the pulse pressure information measured on the day when at least one abnormality was recorded and the maximum and minimum values of the pulse pressure excluding the pulse pressure whose displacement from the previous day's pulse pressure value is 10 or more. If there is a pulse pressure band width information processing section that records the pulse pressure band width information on the day before the measurement date as information on the upper and lower limit widths based on the reference pulse pressure average value on the day before the measurement day, In the judgment information, capture the range of up and down fluctuations in the pulse pressure of the subject individual excluding the value of the pulse pressure on the day when some abnormality is found and the value of the pulse pressure on the day when there was a sudden change from the previous day be able to. That is, it is possible to set the fluctuation range of the individual pulse pressure by capturing the fluctuation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the pulse pressure having individual differences.

  In addition, the abnormality determination processing unit calculates the difference between the pulse pressure measured by the vital measurement unit and the reference pulse pressure average value on the day before the measurement date as the pulse pressure band width information recorded on the pulse pressure band information processing unit. When it is determined that there is an abnormality when it exceeds, it is possible to detect the abnormality on the basis of the fluctuation width of the pulse pressure that can be considered that the subject is in a calm state. That is, when the difference between the measured pulse pressure value and the average value of the pulse pressure of the previous day of the day exceeds the fluctuation range of the pulse pressure that can be considered that the subject is in a calm state, It can be detected as an abnormality.

  In addition, the vital information is at least blood pressure information, and the vital average value processing unit takes an average value excluding the highest blood pressure whose displacement from the highest blood pressure value on the previous day is 20 or more and takes the average value on the day before the measurement day. When the value is calculated, information on the average value of the systolic blood pressure in the subject's calm state can be confirmed with higher accuracy.

  In addition, based on the maximum blood pressure average value on the day before the day when the vital measurement was performed and the past high blood pressure information recorded in the vital information recording unit, the content of the inquiry determination information Calculate the difference between the systolic blood pressure information measured on the day when at least one abnormality was recorded and the maximum and minimum values of systolic blood pressure excluding the systolic blood pressure that is more than 20 from the previous day's systolic blood pressure value. If you have a systolic blood pressure bandwidth information processing section that records information about the systolic blood pressure bandwidth on the day before the measurement date, which is the information on the upper and lower limits on the basis of the average blood pressure on the day before the measurement date, In the judgment information, capture the range of ups and downs of the systolic blood pressure of the subject individual excluding the systolic blood pressure value on the day when some abnormality is seen and the systolic blood pressure value on the day when there was a sudden change from the previous day be able to. That is, it is possible to set the fluctuation range of the individual's systolic blood pressure by grasping the variation range in which the subject can be regarded as being in a calm state among the fluctuation ranges of the systolic blood pressure having individual differences.

  In addition, the abnormality determination processing unit detects the difference between the systolic blood pressure information measured by the vital measurement unit and the reference systolic blood pressure average value on the day before the measurement day, and records the systolic blood pressure band width information on the day before the measurement day. When it is determined that there is an abnormality when the value exceeds, it is possible to detect the abnormality on the basis of the fluctuation range of the systolic blood pressure at which the subject can be regarded as being in a calm state. That is, when the difference between the measured systolic blood pressure value and the average value of the systolic blood pressure on the day before that day exceeds the fluctuation range of the systolic blood pressure that the subject can be considered to be in a calm state, It can be detected as an abnormality.

  Further, the vital information is at least blood pressure information, and the vital average processing unit takes an average value excluding the lowest blood pressure whose displacement from the lowest blood pressure value on the previous day is 20 or more and takes the average value on the day before the measurement day. When the value is calculated, the information on the average value of the minimum blood pressure in the calm state of the subject can be confirmed with higher accuracy.

  In addition, based on the lowest blood pressure average value on the day before the day of the vital measurement, and the lowest blood pressure in the past recorded in the vital information recording unit, the content of the inquiry determination information Calculate the difference between the minimum and maximum values of the minimum blood pressure excluding the minimum blood pressure that is 20 or more from the minimum blood pressure information measured on the day when at least one abnormality was recorded and the previous day's minimum blood pressure value. If there is a diastolic blood pressure bandwidth information processing section that records information on the diastolic blood pressure bandwidth information on the day before the measurement date, which is information on the upper and lower side widths based on the reference day-basis minimum blood pressure average value, In the judgment information, capture the range of up and down fluctuations in the minimum blood pressure of the subject individual excluding the minimum blood pressure value on the day when some abnormality is found and the minimum blood pressure value on the day when there was a sudden change from the previous day be able to. That is, it is possible to set the fluctuation range of the individual's diastolic blood pressure by capturing the variation range of the diastolic blood pressure that varies among individuals, and the variation range in which the subject can be regarded as being in a calm state.

  In addition, the abnormality determination processing unit calculates the difference between the minimum blood pressure information measured by the vital measurement unit and the reference minimum blood pressure average value on the day before the measurement date, and the minimum blood pressure band width information on the day before the measurement date recorded in the minimum blood pressure band information processing unit. When it is determined that there is an abnormality when exceeding the threshold, it is possible to detect the abnormality on the basis of the fluctuation range of the minimum blood pressure at which the subject can be regarded as being in a calm state. That is, when the difference between the measured diastolic blood pressure value and the average value of the diastolic blood pressure the day before that day exceeds the diastolic blood pressure fluctuation range that the subject can be considered to be in a calm state, It can be detected as an abnormality.

  The disease diagnosis apparatus according to the present invention reflects the vital signs taking into account individual differences among subjects, daily physical condition, and past medical history, enables highly accurate disease diagnosis, and contributes to improving the quality of medical care for the elderly At the same time, it also functions as a diagnostic tool for doctors.

1 is a schematic block diagram of a disease diagnosis apparatus to which the present invention is applied. It is a graph which shows the fluctuation | variation of a subject's body temperature. It is a graph which shows the outline | summary of automatic correction of bandwidth information. It is the schematic of the disease diagnostic apparatus to which this invention is applied. It is the schematic which shows the flow of the diagnosis of pneumonia based on disease analysis flow information. It is the schematic which shows the flow of the diagnosis of heart failure based on disease analysis flow information. It is the schematic which shows the example of a thermotype table | surface.

Hereinafter, embodiments of the present invention will be described with reference to the drawings to facilitate understanding of the present invention.
FIG. 1 is a schematic block diagram of a disease diagnosis apparatus to which the present invention is applied. In addition, the structure shown below is an example of this invention and the content of this invention is not limited to this.

  As shown in FIG. 1, a disease diagnosis device 39 as an example of a disease diagnosis device to which the present invention is applied includes a vital measurement unit 2, an information management unit 3, and a display unit 12. The information management unit 3 includes a vital abnormality determination unit 1 and a disease determination unit 42.

  The vital abnormality determination unit 1 is a part that determines whether or not the vital value of the subject on the date of measurement is abnormal based on the vital information of the subject. Further, the vital value abnormality determination is made by determining the abnormality in two stages of normality and attention or warning depending on the setting of conditions. Details of the vital value abnormality determination will be described later.

  In addition, when the vital information and health observation information obtained from the subject satisfy a predetermined condition, the disease determination unit 42 determines that the subject has a specific disease based on the vital information, health observation information, and disease analysis flow information. It is a part for determining whether or not it has been applied. The determination is made based on whether or not the disease analysis flow reaches the end by checking whether or not the conditions of the contents of the confirmation items defined for each disease are satisfied according to the disease analysis flow information. Details of this point will be described later. In addition, the disease analysis flow information in the present invention performs disease analysis specialized for diseases that are likely to cause elderly people.

  Here, the disease diagnosis apparatus 39 does not necessarily need to include the display unit 12. For example, the configuration may be such that information handled by the disease diagnosis device 39 is transmitted to an external terminal or the like, and the information is displayed on the external terminal or the like. That is, it is sufficient that the information display signal can be transmitted to the external terminal.

  The vital measurement unit 2 is composed of a device that measures various vital information of the subject, and is connected to the information management unit 3.

  The vital measurement unit 2 includes a thermometer 4, a pulse oximeter 5, a sphygmomanometer 6, a body composition meter 7, and a blood glucose meter 8.

The thermometer 4 is the body temperature, the pulse oximeter 5 is the oxygen saturation (SpO ₂ ) and pulse, the sphygmomanometer 6 is the maximum blood pressure and the minimum blood pressure, the body composition meter 7 is the body weight, body fat, muscle mass and bone mass, The blood glucose meter 8 measures a blood glucose level.

  Moreover, the vital measurement part 2 has the respiration rate sensor 9 which measures respiration rate. In addition, the vital measurement unit 2 can be connected to the walking strength meter 10. The walking intensity meter 10 measures the walking intensity and the time spent walking at a constant walking intensity.

  Here, the vital measurement unit 2 does not necessarily need to be connected to the information management unit 3, and it is sufficient that the information of the measurement value measured by the vital measurement unit 2 can be input to the information management unit 3. is there. For example, each vital measurement unit is a measurement device independent of the information management unit 3, and a configuration in which measurement values are input by a user or a configuration in which information is transmitted to the information management unit 3 through wireless communication. May be.

  Moreover, it is preferable that the measured vital value is automatically transmitted to the information management unit 3 at least for blood pressure, pulse, body temperature, oxygen saturation, and respiratory rate. This is because the vital information is frequently associated with the determination of the presence of abnormal physical condition or the presence of pathological factors.

  Further, the types of vital measurement devices of the vital measurement unit 2 are not limited to the devices described above. If necessary, it is possible to employ a device that measures vital information that can be used to manage the physical condition of the subject.

  The information management unit 3 is an information processing terminal having an information processing unit 11 that performs control processing of various types of information. Information managed by the information management unit 3 can be displayed on the display unit 12.

  Here, the information management unit 3 only needs to be configured to be able to control various types of information, and can be used in a stand-alone manner in which information is recorded and processed only by the information management unit 3. It may be. On the other hand, a configuration in which information processing is performed on a server through an Internet line may be employed.

  The information processing unit 11 of the information management unit 3 has a personal information database 13 that records personal information of the measurement subject. In the personal information database 13, the name, sex, age, height, and weight of an individual subject to difference in vital value are recorded.

  In addition, basic health information 43 is recorded in the personal information database 13. The basic health information 43 includes information on medical examinations that the subject has received in the past. Health checkup information includes, for example, height, weight, abdominal circumference, visual acuity, hearing information, chest X-ray examination, blood pressure measurement, urinalysis, anemia test, liver function test, blood lipids received in a general health checkup Information on examination, blood glucose examination, electrocardiogram examination and the like. In addition, information on the name, gender, and age of the target individual is also included.

  In addition, the basic health information 43 includes information on basic illness, medical history, smoking history, medication history, family illness, lifestyle information such as smoking status, subjective symptoms and objective symptoms. include. In addition, body temperature information 14 at the time of medical examination, which is information on the body temperature measured at the time of the medical examination, is also recorded.

  When the basic health information 43 recorded in the personal information database 13 includes information on body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, body weight, respiratory rate, and blood glucose level, the initial information of the subject Can be handled as vital information values.

  Here, the information recorded in the personal information database 13 is not limited to the content described above. Information necessary as initial information of the target person and information that can be used to determine vital value abnormality can be set to be recordable.

  Further, it is not always necessary to use the basic health information 43 recorded in the personal information database 13 as an initial vital information value. In other words, any information that can be input as vital information on the subject can be used instead of the information on the health checkup.

  The information processing unit 11 of the information management unit 3 includes a vital information database 15 that records the value of vital information measured by each measurement device of the vital measurement unit 2. Each vital information is recorded together with information on the date on which the vital measurement was performed.

  In the vital information database 15, as vital information, body temperature (° C.), oxygen saturation (%), pulse (times / minute), pulse pressure (mmHg), blood pressure (mmHg), body weight (kg), respiratory rate (times) / Min).

  In addition, the vital information database 15 includes the body fat percentage (%), muscle mass (%), and bone mineral mass (kg) measured by the body composition meter 7, the walking intensity measured by the walking strength meter 10, and a certain amount. The number of minutes spent walking with walking intensity is recorded.

  The vital information database 15 records urine volume (mL / kg / hour), blood glucose level (mg / dL), and subject's consciousness level. Here, the recording of the urine volume, the blood glucose level and the consciousness level is limited to the subject who has been instructed by the doctor.

  The level of consciousness is determined by the state of open eyes, language response when talking, exercises such as calls and responses to pain, etc., and whether or not consciousness is clear is judged as normal or abnormal and recorded. Is. The consciousness level and urine volume may be recorded as health observation information described later.

  Here, it is not always necessary to record the urine volume, blood glucose level, and consciousness level in the vital information database 15 to the subject who has been instructed by the doctor. However, these items are information that is required when conducting more rigorous pathological analysis, and recording for a subject without instructions from a doctor leads to the burden on the caregiver. It is preferable to do.

  The information processing unit 11 of the information management unit 3 has a health observation information database 16. The health observation information database 16 includes interview information 44 including interviews with the subject and answers to the interviews, observation items for observing the subject and observation information 45 including the observation results, and the amount of meals and excretion of the subject. Nursing care record information 46, which is nursing care record information, is recorded.

  The inquiry information 44 in the health observation information database 16 includes information on the determination result that the observer has determined as normal or abnormal for each item as the health observation determination information for each item. Is recorded together with information on the date of

  Here, the observer is, for example, a person who supports the daily life of the target person, such as a nurse in a hospital or a staff at a care facility. The contents of the inquiry and the information on the results are recorded in association with individual subjects in the personal information database 13.

  In the inquiry information 44 of the health observation information database 16, information that the observer has determined “normal” or “abnormal” when the subject answers an inquiry that seems different from usual is recorded. For example, the question items include questions about the patient's physical condition that the subject answers, such as questions about appetite, mood of the day, senses of the five senses, and consciousness level.

  Moreover, when conducting an inquiry, the content of the inquiry may be displayed on the display unit 12 of the disease diagnosis apparatus 39, and selection of an answer to the inquiry or determination of normality or abnormality may be input on the touch panel. Moreover, it is good also as a structure which can display and input an inquiry content via a tablet terminal by making a separate tablet terminal interlock | cooperate. When the three items of appetite, mood, and consciousness level are listed, the answer to each question is judged as normal or abnormal and recorded.

  For example, in the case of an appetite item, the observer determines whether the appetite item is normal or abnormal after obtaining the subject's response to the appetite item, such as “I have appetite”, “I don't have a good appetite”, or “I have no appetite” Is recorded. The same is true for mood and consciousness level.

  A plurality of questions may be set for one item. For example, for items of consciousness level, confirmation is made with multiple contents, such as eye movements for calls, rhythm during conversation, hand movements for calls, etc., and as a result, normality or abnormality is determined and recorded. May be.

  Here, the contents of the inquiry do not necessarily have to be limited to those related to appetite, mood, and consciousness level, and can be adopted as long as they are questions about the subject's health condition.

  The observation information 45 of the health observation information database 16 confirms the appearance of the subject and the information of the determination result determined by the observer as normal or abnormal for each item is observed as item-specific health observation determination information. Is recorded together with information on the date of

  In the observation information 45 of the health observation information database 16, information that the observer has determined “normal” or “abnormal” when the subject seems to be different from usual is recorded. For example, observation items include the presence or absence of sweating, skin color, consciousness level, swelling, and the like.

  Moreover, when performing observation, the structure which displays the content of observation on the display part 12 of the disease diagnosis apparatus 39, and selects selection of an observation item, and determination of normality or abnormality may be sufficient on a touch panel. Moreover, it is good also as a structure which can display and input observation content via a tablet terminal by making a separate tablet terminal interlock | cooperate.

  For example, if the item is the presence or absence of sweating, obtain the observation result for the item of sweating or not such as `` a lot of sweating '', `` slightly sweating '', `` no sweating at all '' Recorded by the observer as normal or abnormal. The same applies to skin color, consciousness level, and swelling.

  Here, the content of observation need not necessarily be limited to the presence or absence of sweating, the color of the skin, the level of consciousness, or swelling, but it should show the appearance and reaction of the subject's health. Can be adopted.

  In the care record information 46 of the health observation information database 16, information on the determination result that the observer has determined as normal or abnormal for each item of the care record obtained with the care of the subject person as item-specific health observation determination information, Recorded along with information on the date the care record result was obtained.

  In the care record information 46 of the health observation information database 16, information that the observer has determined “normal” or “abnormal” when the subject appears to be different from usual is recorded. For example, items of care records include meal volume, inoculated water volume, urine volume, defecation content, respiratory rate, blood glucose level, sleep content, and the like.

  At this time, when recording care record information, the observation content is displayed on the display unit 12 of the disease diagnosis apparatus 39, and the result of the item and the determination of normality or abnormality are input on the touch panel. May be. Moreover, it is good also as a structure which can link the separate tablet terminal and can display and input the content of care record via a tablet terminal. Especially for information included in the vital data of the subject, such as the level of consciousness and urine volume, input through the tablet terminal facilitates sharing of health observation information and care record information, and has been performed in the past. This eliminates the work of posting the same content, and reduces the work of the caregiver.

  For example, in the case of the amount of inoculated water, the care record information may be specific information such as “large amount”, “normal”, “small amount”, or “300 ml of water intake in half a day”. The numerical value information is obtained, and what is judged normal or abnormal by the observer is recorded. The same applies to the amount of meal, urine volume, defecation content, respiratory rate, blood glucose level, sleep content, and the like.

  Here, it is not always necessary that the contents of the care record be limited to those relating to the amount of meal, the amount of inoculated water, the amount of urine, the content of defecation, the respiratory rate, the blood sugar level, the content of sleep, etc. It can be adopted as long as it shows the care records involved.

  Further, it is not always necessary to record all of the inquiry information 44, the observation information 45, and the care record information 46 in the health observation information database 16. For example, only one of them may be recorded. Good. However, all of the inquiry information 44, the observation information 45, and the care record information 46 are recorded in the health observation information database 16 from the point of being able to increase the accuracy of the determination of the subject's health and the diagnosis of the pathology. Is preferred. Each content may overlap. For example, the consciousness level may be confirmed by both the inquiry information 44 and the observation information 45.

  The information processing unit 11 of the information management unit 3 has a disease information database 47. The disease information database 47 stores information about diseases that can be diagnosed by the disease diagnosis device 39. More specifically, the disease information database 47 has a diagnosis target disease information database 48 that is further subdivided.

  In the diagnosis target disease information database 48, as the diagnosis target disease information 51, information on the name of the disease, main symptoms, and pathological factors to be confirmed to identify the disease are recorded.

  The diagnosis target disease information 51 includes information on confirmation items necessary for specifying a disease specified based on pathological factor information, and information on the order in which confirmation items for each disease type are confirmed. The information of the confirmation items and the order information are referred to as “disease analysis flow information for the elderly”. In addition, the elderly person here refers to the subject who is 65 years old or older.

  The information of the confirmation item is information of a predetermined condition. For example, “existence of swelling” that is confirmed based on observation or interview of “existence of body temperature rise (or displacement over a predetermined temperature range)” that is confirmed based on body temperature. Etc. exist. Whether or not the condition of the confirmation item is satisfied is determined from the contents of the response to the vital information, health observation information of the subject, and the specific inquiry information unique to the disease.

  In identifying one disease, a plurality of confirmation items are set, and the order of the confirmation items is defined for each disease type. Regarding the confirmation item, the determination as to whether or not the condition is satisfied is carried out step by step, and for the disease that finally satisfies the condition of the last content of the confirmation item, the disease determination unit 42 applies the subject to the disease. It is determined that In addition, when the condition of the confirmation item is not satisfied midway and the analysis does not proceed any more, it is determined that the specific disease is not determined. That is, the result is that the disease has not been identified.

  The confirmation work of this confirmation item is “analysis according to disease analysis flow information for elderly people”. The analysis method according to the disease analysis flow information for the elderly is not particularly limited as long as the analysis proceeds. For example, logical diagnosis methods such as a matrix method, a branching method, a score method, and an elimination method used in known disease diagnosis are adopted.

  In addition, in order to clarify the contents of the present invention, the above has been described based on the analysis of one disease. However, in an actual apparatus, in accordance with disease analysis flow information for elderly people for a plurality of diseases. It is conceivable that the analysis is performed simultaneously.

  The diagnosis target disease information database 48 is linked to the vital information database 15, the personal information database 13 in which the basic health information 43 is recorded, and the health observation information database 16, and is used for analysis in accordance with disease analysis flow information for elderly people. Is done.

  The diagnosis target disease information database 48 includes a specific inquiry information database 55. The unique inquiry information database 55 determines whether or not there is a pathological factor determined from the unique inquiry information to be checked to determine whether or not the condition of the confirmation item of the disease analysis flow information for the elderly is satisfied, and the result of the inquiry Result information is recorded.

  The unique inquiry information recorded in the unique inquiry information database 55 may be the same as the information recorded in the health observation information database 16 described above. Further, when an answer to the specific inquiry information is obtained from the inquiry information recorded in the health observation information database 16, the disease determination unit 42 may determine the confirmation item based on the content.

  Further, when there is no information corresponding to the answer to the specific inquiry information in the health observation information, the specific inquiry information and message information for prompting the answer may be displayed on the display unit 12. Thereby, it becomes possible to proceed with the determination of the confirmation item of the disease analysis flow information for the elderly efficiently and without shortage.

  The disease information database 47 has a disease state discrimination flowchart database 49. The pathological condition discrimination flowchart database 49 stores pathological condition confirmation inquiry information in the form of a flowchart for a subject's medical condition and predicted pathological information associated with an answer to the inquiry. The medical condition confirmation inquiry information and the predicted pathological information are analyzed when the disease determination unit 42 performs analysis according to the disease analysis flow information for elderly people, and is activated when the disease cannot be identified. Is to predict. Further, it can be used not only when a disease can be identified but also when a doctor later tests whether the disease is identified.

  The pathological condition discrimination flowchart database 49 according to the present invention includes not only the pathological condition confirmation inquiry information in the form of a flowchart created from any “disease state” but also the contents starting from any “vital abnormality”. include. That is, for example, contents starting from a “symptom” of “heating” and “vital abnormality” of “heating at 38 ° C. or higher” are also included. Thereby, the corresponding range of the pathological condition discrimination is wider than the pathological condition discrimination flowchart in which only the conventional medical condition is the starting point.

  As described above, in the pathological condition discrimination flowchart database 49, when the subject has an abnormal vital value, but the disease determination unit 42 cannot determine that the disease is a specific disease, or when the disease can be specified. In addition, it can be used when a doctor examines the results. The starting point of the pathological condition discrimination flowchart starts with “abnormal value of vitals” or some “disease state”.

  By performing a predetermined medical condition confirmation interview (including those starting from vital abnormalities) recorded in the pathological condition discrimination flowchart database 49, the possibility of some pathological condition can be presented. In other words, it is possible to arrive at any pathological condition by proceeding with the selection of the results for multiple answers of “Yes” or “No” or “Facial Color” for the flow chart format of the interview. It has become. Further, the confirmation item in the flowchart format includes an item indicating whether the vital value satisfies a predetermined condition. In addition, this result can be used as reference information for diagnosis by an actual doctor.

  The disease information database 47 has a disease information dictionary database 56 in which detailed information on various diseases is recorded. The disease information dictionary database 56 is a part that functions as a dictionary in which information including information on disease name, concept, cause, discrimination, disease state, symptom, examination, treatment, and vital value condition related to the disease is described. In addition, the disease information dictionary database 56 is configured to be able to search for pathologies by collating the vital value conditions with the vital information recorded in the vital information recording unit. That is, it becomes a disease dictionary in which disease name and disease state information can be searched based on vital abnormality, which is different from existing disease dictionaries searched from “symptoms” and “disease names”. Moreover, it is the part which can confirm the content of the predicted disease including the disease which can be diagnosed with this apparatus in more detail. It can also be used when you want to know detailed information about any disease. Further, it can be used not only when a disease can be identified but also when a doctor later tests whether the disease is identified.

  The disease information dictionary database 56 may be configured as a database in which certain information is stored, or configured so that information can be updated each time in conjunction with an external server.

  The information processing unit 11 of the information management unit 3 includes a pathological caution level processing unit 101 and a cautionary pathological condition check unit 102. These are parts that set warning levels for each pathology based on the basic health information of the subject, and check “attention” of vital information regarding pathological factors of pathological conditions with high levels of warning and “abnormality” of health observation information.

  The pathological caution level processing unit 101 sets the level of caution for each pathological condition based on the contents of the basic health information 43 recorded in the personal information database 13, particularly information on past history, illness, blood tests, and lifestyle habits. That is, a warning level is set for each disease state based on the relationship between the basic health information 43 of the subject and the pathological factors of the disease state, and is reflected in the personal information database 13 as a part of the basic health information 43.

  The alert level here may be determined and set in two stages of alert level “high” or “low”. For example, when “with smoking” is recorded in the lifestyle of the subject, the alert level is determined to be “high” for pneumonia and recorded.

  The vigilance pathology check unit 102 performs a process in which the pathological vigilance level processing unit 101 checks vital information and health observation information related to the pathological factor of the pathological condition in which the vigilance level is recorded as “high”. That is, for a disease state with a high alert level, the subject is likely to be affected. As a premise of whether or not to start pathological analysis of the pathological condition, the contents of pathological factors are preferentially checked.

  The vigilance condition check unit 102 checks whether the vital information regarding the pathological factor is “attention”. In addition, it is checked whether “abnormal” is recorded in the contents of the health observation determination information by item, the observation determination information by item, or the care record information by item among the health observation information regarding the pathological factor. In any case, it is determined that the subject satisfies the predetermined condition, and the analysis according to the disease analysis flow information for the elderly by the disease determination unit 42 is started.

  Here, the alert level set by the disease state alert level processing unit 101 does not necessarily need to be in two stages of “high” and “low”. For example, a more detailed alert level may be set. Since it is sufficient that the pathological condition to be checked by the vigilance pathological condition check unit can be specified, it is sufficient that at least two stages are set.

[Disease to be diagnosed]
Next, description will be made on the contents that can identify a disease by analysis according to disease analysis flow information for elderly people using this apparatus. The disease that is diagnosed by the disease diagnosis device 39 based on the analysis according to the disease analysis flow information for the elderly is, for example, as follows.

(1) Ischemic heart diseases (including myocardial infarction and angina), cardiovascular diseases, heart failure, shock (organ damage caused by insufficient blood flow), hypertension, hypotension, pulmonary heart.
(2) Pneumonia which is a respiratory disease, chronic obstructive pulmonary disease, interstitial pneumonia.
(3) Cerebrovascular disorder, which is a nervous system disease (4) Diabetes, which is endocrine (5) Diarrhea, which is a digestive system disease (6) Hypothermia, which is a disease with vital abnormalities, (7) Other dehydration, etc.

  Each of the above-mentioned diseases is mainly those that are likely to cause elderly people. For diseases other than the examples described above, it is possible to diagnose a disease whose disease analysis flow information for the elderly can be defined by recording information on the disease in the diagnosis target disease information database 48 and the specific inquiry information database 55 at any time. It is possible to increase the number of diseases.

  Further, as described above, the confirmation items for identifying the disease and the order thereof are recorded in the diagnosis target disease information database 48 as disease analysis flow information for the elderly for each disease type.

  Depending on the type of disease, severity determination information for determining the severity of the disease is also recorded as diagnosis target disease information 51. By using this severity determination information, not only the presence / absence of a disease but also the severity can be determined. For example, in the case of pneumonia, the severity is determined by checking more detailed items such as age, presence of complications, physical findings such as consciousness level and respiratory rate. The severity can be indicated by a numerical value divided into a plurality of stages or a display of required correspondences such as hospital visits and hospitalization levels.

[Display of candidate disease groups]
In addition, in this device, when information about the subject, such as detection of vital abnormality, meets the predetermined conditions, analysis according to the disease analysis flow information for elderly people is performed. Based on vital information, the subject is classified into the following three candidate disease state groups.
(1) Catecholamine release pathological group (2) Shock pathological group (3) Other pathological groups For example, regarding the vital information of the subject, the pulse pressure is 50% or more of systolic blood pressure (maximum blood pressure), and the pulse pressure (1) Since there is a high possibility that the patient has five typical catecholamine release pathological condition groups, the subject is classified into the pathological condition group. As a result, even if the disease cannot be identified in the analysis according to the disease analysis flow information for the elderly, the possibility that the subject has a disease state included in the group of candidate disease states classified. It can be presented as information. Further, regarding the contents of the candidate disease state group obtained as a result, the disease state can be predicted using the disease state discrimination flowchart database 49 and the disease information dictionary database 56. Further, in the present invention, the disease determination unit 42 can further narrow down the types of disease states based on the vital information and health observation information of the subject, further limiting the classification from the three disease state groups. is there.

  The pathological condition groups included in the above (1) to (3) are likely to occur in elderly people. Specific examples of the above (1) to (3) are described below.

(1) Pathological condition accompanied by catecholamine release, such as respiratory failure (hypoxemia, hypercapnia), heart failure / circulatory failure (shock, reduced effective circulating blood volume), hypoglycemia, fever (including sepsis) , After pain and anxiety / exercise.
(2) A pathological condition involving shock, for example, septic shock, low-capacity shock, obstructive shock, cardiogenic shock, and distributive shock.
(3) Cerebral hemorrhage, subarachnoid hemorrhage, head and neck problems, hypertensive encephalopathy, brainstem infarction, cerebellar infarction, respiratory embolism, pulmonary embolism, cardiogenic pulmonary edema, and cardiovascular problems Effusion, cardiac tamponade, dissecting aortic aneurysm, vagus reflex syncope, sinus failure syndrome, atrioventricular block, sinus tachycardia, atrial fibrillation, supraventricular tachycardia, extrasystole, ventricular tachycardia, digestion Acute urinary retention, which is a systemic problem, diabetic ketoacidosis, heat stroke, and systemic problems such as hyperthyroidism and hypothyroidism.

[Predetermined conditions for disease determination unit to start analysis]
The disease determination unit 42 determines that the subject satisfies a predetermined condition when the following pattern is satisfied. And as above-mentioned, after classifying an object person into three candidate disease state groups based on an object person's vital information, the analysis along the disease analysis flow information for elderly people is started.
(1) When an abnormal value that is judged as “warning” is confirmed in the vital information.
(2) When an abnormal value for which a “careful” determination exceeding a certain number is confirmed among a plurality of vital information.
(3) When an abnormal value for which “Caution” is determined is confirmed in a predetermined combination of vital information.
(4) When a numerical value calculated by combining a plurality of vital information satisfies a predetermined condition.
(5) When “abnormal” determination is recorded in the health observation determination information by item.
(6) When “Caution” of vital information of a disease confirmation item whose warning level is set to “High” or “Abnormal” of health observation information is recorded based on basic health information.

  Here, the above conditions (1) to (6) are given. In particular, the analysis start condition is the pattern of (1) to (4) where the analysis is started based on the attention or warning of vital information. In the case of limiting to, analysis specialized for only vital abnormality is performed. As a result, it is possible to provide a disease diagnosis apparatus that can capture an individual's vital state with higher accuracy.

In addition, when analysis according to the disease analysis flow information for elderly people is started, the disease determination unit 42 may narrow down the analysis target with the following contents for a plurality of diseases to be determined. It is possible.
(1) Based on past medical history information or lifestyle information in the basic health information of the subject, narrow down to a disease that the subject is likely to suffer from among a plurality of diseases.
(2) From the combination of the content determined as “Caution” or “Warning” in the vital information and the content of the health observation information used as the basis for the abnormality determined in the item-specific health observation determination information, Narrow down to diseases that the subject is likely to have.
(3) The contents of vital information determined as “caution” or “warning” are narrowed down to diseases satisfying the conditions of the contents of the confirmation item.
(4) Narrow down the contents of the health observation information, which is the basis for the abnormality determined in the item-specific health observation determination information, to diseases that satisfy the conditions of the content of the confirmation item.

  The disease determination unit 42 narrows down the analysis target based on the above contents, and performs analysis according to the disease analysis flow information for elderly people for all the corresponding diseases.

  In the disease diagnosis apparatus of the present invention, depending on the type of disease, the severity of the disease can be classified and presented based on the severity determination information recorded in the diagnosis target pathological information 51. Yes.

  Severity determination information includes information on multiple items that should be confirmed in order to classify the severity of a specific disease, and information on the subject's vital information, basic health information, results of interviews, and pathology The disease determination unit 42 checks whether the information on the result of the specific inquiry satisfies each item of the severity determination information, and determines the severity of the disease according to the result.

  The severity determined by the illness determination unit 42 is classified according to the values such as “mild group”, “severe group” such as degree and level, “visit”, “immediate hospitalization”, etc. Can do. This severity determination makes it possible to present a treatment after the subject is determined to be ill.

  Further, the severity determination information has a configuration in which information can be newly added. In other words, even when it was only possible to determine the presence or absence of a pathological condition until then, when knowledge about the pathological condition sufficient to classify the severity was obtained, new severity classification information was added to The condition of the subject whose degree can be determined can be obtained.

  The disease determination unit 42 determines whether or not all the diseases to be analyzed are affected by the disease. The result is recorded in the personal demand law database 13 of the subject together with information on the date of determination. Furthermore, the determination result information for each disease can be displayed on the display unit 12 or transmitted to an external terminal for display.

  In addition, the disease diagnosis apparatus of the present invention is configured to record the diagnosis result actually received by the doctor in association with the information of the subject. For example, it is possible to record the date when the diagnosis is received, the result, the diagnosis result of the present apparatus that is the reason for receiving the diagnosis, the medical condition at that time, and the like. As a result, it can be used not only for the examination of the diagnosis of this device, but also by including the diagnosis result of the doctor as the past history of the subject, the amount of information about the subject can be increased and reflected in the diagnosis and detection of vital abnormality It becomes.

[Create thermal table]
The information management unit 3 of the disease diagnosis apparatus 39 includes a thermal table processing unit 57. Based on the information recorded in the basic health information 43 of the subject, the thermal table processing unit 57 extracts information to be observed with particular attention about the subject from the vital information and health observation information, This is the part that creates the thermal table. FIG. 7 is a schematic diagram illustrating an example of a thermal table.

  Of the information recorded in the basic health information 43 of the subject, the thermal table processing unit 57 is based on the past history information, disease information, and lifestyle information, Information that should be observed with care is extracted as information requiring observation.

  For example, when there is a record of “having a smoking habit” in the lifestyle information, a pathological condition that tends to increase the risk from the smoking habit and a pathological factor that identifies the pathological condition are extracted. Then, vital information used for determining the presence or absence of the pathological factor and health observation information are extracted as observation-required information, and the subject's own thermal table is created with the contents. In the case of smoking habits, since the risk of pathological conditions such as ischemic heart disease and pneumonia increases, vital information and health observation information related to the pathological factors of those pathological conditions are extracted to create a thermal table.

  As shown in FIG. 7, the thermal type table 68 displays the extracted vital information and the information of the date on which the vital information is measured in a graph. Further, item-specific health observation determination information and the like in the related health observation information are displayed. Further, if necessary, it is also possible to provide individual special notes for the target person and also describe observation information that should be noted with information other than the information extracted by the thermal table processing unit 57. The created thermal table 68 is recorded in the personal information database 13.

  Further, the thermal table 68 may be configured to display the determination result of the presence / absence of pathological factors of individual pathological conditions and the determination result of the presence / absence of pathological conditions together.

  By creating the thermal table 68, for example, if the subject is concerned about dehydration symptoms, the “weight” of the vital and the “inoculation water amount” of the care record can be confirmed at the same time. From this thermotype table, if it is confirmed that the body weight has decreased and the inoculated water amount has increased, it can be confirmed that there is a risk of dehydration.

[Calculation of vital average]
The information processing unit 11 of the information management unit 3 includes a vital average value processing unit 17. The vital average processing unit 17 is a part that calculates the average value of the individual vital information for each measurement date based on the value of the vital information recorded in the vital information database 15.

  The average value of the vital information for each measurement date is an index for determining whether the vital value of the subject is abnormal. The average value of vital information for each measurement date calculated by the vital value processing unit 17 is linked to the subject and recorded in the vital information database 15. Hereinafter, the average value of vital information for each measurement date will be described. The determination of the vital value abnormality will be described later.

  The vital value processing unit 17 includes the vital information of the day when “abnormal” is recorded in the item of the health observation information database 16 among the values of the vital information recorded in the vital information database 15, and the value of the previous day. The average value is calculated from the data values for the most recent seven days including the measured value of the vital information on that day, except for the vital information on the day when there was a sudden change. Here, the “sudden change from the value of the previous day” is a value that can be set according to the type of vital information to be measured, and this point will be described later.

  The vital information of the day when “abnormal” is recorded in the item of the health observation information database 16 is “abnormal” in the determination of the item of the inquiry information, the observation information or the care record in the above-described configuration. "Means that there was. That is, the value of vital information measured on the day when any one is recorded as abnormal is excluded from the numerical value for calculating the average value.

  2 and 4 show an example of determination of the result of the care record recorded in the health observation information database 16. In the lower part of FIG. 2 and FIG. 4, the determination result about the care record regarding the meal, urination, and defecation for each date is displayed.

  For example, when calculating the average value of vital information on October 8, the value of vital information up to October 2 including the value of vital information measured on October 8 is used to calculate the average value. It is confirmed whether the value is acceptable. It is assumed that the vital value measured on October 8 did not change suddenly from the previous day's vital value. It is also assumed that no abnormality was found in the October 8 interview. In other words, the vital information for the most recent 7 days can be calculated including the vital information for the day on which the average value is calculated, or can be calculated without being included.

  In adopting the value of vital information for the most recent seven days, vital information on the day on which an abnormality is observed in the care record or the day when there was a sudden change from the value on the previous day is excluded. Until vital information for the number of days removed is obtained, whether or not a numerical value can be adopted is determined based on the vital information and the information on the care record.

  For example, if the value of the vital information for 7 days from October 2 to October 8 contains two days of numerical values to be removed, the vital information for two days is used to calculate the average value. Is required. Therefore, the average value processing unit 17 confirms the past records until the data for seven days that can be used for the calculation of the average value is gathered, going back to the past information on October 1 and September 30.

  Also, if the vital value measured on October 8 changes suddenly from the previous day's vital value, or if there is an abnormality during the October 8 interview, October Except for the vital value of the 8th, that day's worth will be supplemented from the past date.

  Here, the number of abnormalities in the items in the health observation information database 16 need not be limited to one. For example, a certain number of abnormalities has been confirmed in the inquiry information, observation information, or care records. The configuration may be such that the value of vital information measured on a day is excluded from the calculation of the average value. However, when the average value of vital information is calculated, the number of abnormalities in any item of the health observation information database 16 is 1 in order to more easily reflect the inquiry information, the observation information or the information on the result of the care record. In this case, it is preferable that the value of the vital information for the day is excluded from the calculation of the average value.

  Further, the number of days for calculating the average value of vital information is not necessarily limited to seven days. For example, the configuration may be changed to the number of days such as two weeks or five days. However, if the number of days for calculation is too small, the reliability of the average value of vital information will be low, and if the number of days is too long, it will be difficult to obtain the latest average value. The number of days is preferably set to 7 days.

  Also, it is not always necessary to exclude vital information on the day when there is a sudden change from the previous day value in order to calculate the average value of vital information. However, not only the abnormalities in the results of care records were recorded, but also the vitals on the day that may have changed in physical condition by excluding the vital information on the day when there was a sudden change from the previous day's value The information is removed, and an average value of vital information reflecting the vital information of the healthy state of the target person can be easily obtained.

  In the above-described example, the average value of vital information is calculated on the assumption that vital information is measured every day. However, vital information is not necessarily measured every day. For example, vital information in measurement every other day cannot be adopted. However, in order to calculate the average value of vital information with high accuracy, it is preferable that vital information is measured every day. This point is not limited to the average value, and the same applies to the setting of bandwidth information and determination of abnormality, which will be described later.

Subsequently, the content of calculating the average value for each type of vital information will be described below.
(1) Average value of body temperature The body temperature is measured by the thermometer 4 and recorded in the vital information database 15 together with information on the measurement date. The body temperature here may be measured up to the first decimal place, such as 36.5 ° C. In the calculation of the average value of body temperature (hereinafter referred to as “normal heat”), as described above, the measurement was performed on the day when an abnormality was observed in the result of the care record or on the day when there was a sudden change from the previous day's value. The value is removed.

  Moreover, in the body temperature, the measured value of the body temperature whose displacement from the measured value of the previous day is 0.5 ° C. or more is excluded from the value that is the basis for the calculation of the normal heat. For example, when the body temperature of the previous day is 35.9 ° C. and the body temperature of the next day is 36.4 ° C., the displacement from the value of the previous day is 0.5 ° C. or more, so the body temperature value of 36.4 ° C. However, it will be removed from the ground value for the calculation of normal heat. Similarly, the value at which the body temperature from the previous day has decreased by 0.5 ° C. or more is also excluded from the basis value for calculating the normal heat.

  Here, the displacement value from the measurement value of the previous day is not necessarily limited to 0.5 ° C. or more. For example, the displacement value may be 1.0 ° C. or higher, or may be set to other numerical values. However, a displacement of 0.5 ° C is a large value of the body temperature in one day, and it is considered that there is a high possibility that it reflects the change in physical condition. The temperature is preferably set to 0.5 ° C. or higher.

(2) Average value of oxygen saturation (SpO ₂ ) The oxygen saturation is vital information indicating the proportion of hemoglobin in the blood hemoglobin measured by the pulse oximeter 5 and linked to oxygen, and information on the date of measurement At the same time, it is recorded in the vital information database 15.

  Here, the oxygen saturation is indicated by a double-digit value such as 98%. In the calculation of the average value of oxygen saturation, as described above, the measured value on the day when the abnormality in the result of the interview information, observation information or care record was observed or the day when there was a sudden change from the previous day value Excluded.

  Further, in the oxygen saturation, the measured value of the oxygen saturation having a displacement rate of 2% or more from the measured value on the previous day is excluded from the value that is the basis for calculating the average value. For example, when the body temperature of the previous day is 98% and the body temperature of the next day is 96%, the rate of displacement from the previous day's value is 2% or more, so the oxygen saturation value of 96% is the average value. This is excluded from the ground value for the calculation of. On the other hand, when the rate of displacement of the oxygen saturation from the previous day is within 2%, it is adopted as the basis value for calculating the average value.

  Here, the ratio of displacement from the measurement value of the previous day is not necessarily limited to 2% or more. For example, the displacement ratio may be set to 3% or more, or other numerical values. However, a displacement of 2% or more is a large percentage of oxygen saturation per day and is considered to reflect a change in physical condition, so the percentage of displacement from the previous day's measured value. Is preferably set to 2% or more.

(3) Average value of pulse The pulse is vital information indicating the heart rate per minute at rest measured by the pulse oximeter 5, and is recorded in the vital information database 15 together with the information on the measurement date.

  The pulse here is shown as 60 (times / minute) or 80 (times / minute), for example. In the calculation of the average value of the pulse, as described above, the measurement value on the day when the abnormality in the result of the interview information, observation information, or care record is observed or the day when there is a sudden change from the previous day value is excluded. .

  In addition, in the case of a pulse, a measured value of a pulse having a displacement value of 10 or more from the measured value of the previous day is excluded from a value serving as a basis for calculating an average value. For example, if the previous day's pulse is 60 and the next day's pulse is 70, the displacement value from the previous day's value is 10 or more, so the 70 pulse values are calculated from the basis value for calculating the average value. It will be removed. On the other hand, when the value of the pulse displacement from the previous day is less than 10, it is adopted as the basis value for calculating the average value.

  Here, the value of displacement from the measurement value of the previous day is not necessarily limited to 10 or more. For example, the displacement value may be set to 20 or more or other numerical values. However, since a displacement of 10 or more is a large displacement value in one day of the pulse and is considered to have a high possibility of reflecting a change in physical condition, the displacement value from the measurement value of the previous day is 10 or more. It is preferable to set to.

(4) Average value of pulse pressure The pulse pressure is vital information obtained from the maximum blood pressure and the minimum blood pressure measured by the sphygmomanometer 6, and indicates the difference between the maximum blood pressure and the minimum blood pressure. To be recorded.

  The pulse pressure here is shown as 45 (mmHg) or 60 (mmHg), for example. In calculating the average value of the pulse pressure, as described above, the measurement value on the day when an abnormality in the result of the interview information, observation information, or care record is seen or the day when there is a sudden change from the previous day value is excluded. It is burned.

  Further, in the pulse pressure, the measured value of the pulse pressure whose displacement value from the measured value of the previous day is 10 or more is excluded from the value that is the basis for calculating the average value. For example, if the pulse pressure of the previous day is 45 and the pulse pressure of the next day is 55, the displacement value from the value of the previous day is 10 or more, so the pulse pressure value of 55 is the average value calculation. It will be removed from the ground value. On the other hand, when the value of the displacement of the pulse pressure from the previous day is less than 10, it is adopted as a basis value for calculating the average value.

  Here, the value of displacement from the measurement value of the previous day is not necessarily limited to 10 or more. For example, the displacement value may be set to 20 or more or other numerical values. However, since a displacement of 10 or more is a large value of the displacement of the pulse pressure per day and is considered to have a high possibility of reflecting a change in physical condition, the displacement value from the measurement value of the previous day is 10 It is preferable to set as described above.

(5) Average values of systolic blood pressure and diastolic blood pressure The systolic blood pressure and the diastolic blood pressure are vital information measured by the sphygmomanometer 6 and are recorded in the vital information database 15 together with information on the measurement date.

  Here, the maximum blood pressure and the minimum blood pressure are indicated as a maximum blood pressure 125 (mmHg) or a minimum blood pressure 80 (mmHg), for example. In calculating the average values of systolic blood pressure and diastolic blood pressure, as described above, measurement was performed on the day when an abnormality was found in the results of interview information, observation information, or care record, or the day when there was a sudden change from the previous day's value. The value is removed.

  In the systolic blood pressure and the diastolic blood pressure, the measurement values of the systolic blood pressure and the diastolic blood pressure whose displacement from the measurement value of the previous day is 20 or more are excluded from the values that are the basis for calculating the average value. For example, if the systolic blood pressure on the previous day is 125 and the systolic blood pressure on the next day is 105, the displacement value from the value on the previous day is 20 or more, so the value of the systolic blood pressure of 105 is the average value calculation. It will be removed from the ground value. On the other hand, when the value of displacement of the systolic blood pressure from the previous day is less than 20, it is adopted as the basis value for calculating the average value. The minimum blood pressure is set similarly.

  Here, the displacement value from the measurement value on the previous day is not necessarily limited to 20 or more. For example, the displacement value may be set to 30 or more or other numerical values. However, a displacement of 20 or more is considered to be a high value of displacement of the highest blood pressure or the lowest blood pressure in one day and is considered to reflect a change in physical condition. Is preferably set to 20 or more.

(6) Average value of blood glucose level The blood glucose level is vital information measured by the blood glucose meter 8 and is recorded in the vital information database 15 together with information on the measurement date.

  The blood glucose level here is shown as 90 (mg / dL), for example. In calculating the average value of blood glucose level, as described above, the measurement value on the day when an abnormality in the result of interview information, observation information or nursing care record was observed or the day when there was a sudden change from the previous day value is excluded. It is burned.

  Moreover, in the blood glucose level, the measured value of the blood glucose level whose displacement from the measured value of the previous day is 10 or more is excluded from the value that is the basis for calculating the average value. For example, if the blood glucose level of the previous day is 80 and the blood glucose level of the next day is 90, the value of the 90 blood glucose level is calculated as the average value because the displacement value from the previous day value is 10 or more. It will be removed from the ground value. On the other hand, when the displacement value of the blood glucose level from the previous day is less than 10, it is adopted as the basis value for calculating the average value.

  Here, the value of displacement from the measurement value of the previous day is not necessarily limited to 10 or more. For example, the displacement value may be set to 20 or more or other numerical values. However, since a displacement of 10 or more is considered to be a high value of the blood glucose level in one day and is likely to reflect a change in physical condition, the displacement value from the previous day's measured value is It is preferably set to 10 or more.

(7) Average value of respiratory rate The blood glucose level is vital information indicating the number of breaths per minute at rest measured by the respiratory rate sensor 9, and is recorded in the vital information database 15 together with information on the measurement date. Note that the respiration rate does not necessarily have to be measured by the respiration rate sensor 9, and the value may be measured by other measurement methods such as visual observation, measurement with a stethoscope, measurement with an electrocardiogram, or the like.

  Here, the respiration rate is shown as 15 (times / min), for example. In calculating the average value of the respiratory rate, as described above, the measurement value on the day when an abnormality is observed in the result of interview information, observation information, or care record, or on the day when there is a sudden change from the previous day value is excluded. It is burned.

  Further, in the respiratory rate, the measured value of the respiratory rate whose displacement from the measured value of the previous day is 5 or more is excluded from the value that is the basis for calculating the average value. For example, if the previous day's respiration rate is 12 and the next day's respiration rate is 17, the displacement value from the previous day's value is 5 or more, so the respiration rate value of 17 is calculated as the average value. It will be removed from the ground value. On the other hand, when the value of the displacement of the respiratory rate from the previous day is less than 5, it is adopted as the basis value for calculating the average value.

  Here, the value of the displacement from the measurement value of the previous day is not necessarily limited to 5 or more. For example, the displacement value may be set to 10 or more, or other numerical values. However, a displacement of 5 or more is considered to be a large value of the daily displacement of breathing rate and is considered to reflect a change in physical condition, so the displacement value from the previous day's measured value is It is preferably set to 5 or more.

  Subsequently, bandwidth information serving as one reference for determining vital value abnormality in the vital abnormality determining unit 1 to which the present invention is applied will be described.

  The information processing unit 11 of the information management unit 3 has a bandwidth information processing unit 18. The bandwidth information processing unit 18 is a part that calculates the vertical width of the individual vital information for each measurement date based on the vital information recorded in the vital information database 15 and the vital average information for each measurement date. is there. The vertical width of the vital information indicates a range of vital information values that can be regarded as a healthy state by a person who is determined to be abnormal in vital values, and is referred to as bandwidth information 19.

  The bandwidth information 19 for each measurement date calculated by the bandwidth information processing unit 18 is linked to the subject and recorded in the vital information database 15. The band width information 19 is used to determine whether the vital value of the subject is abnormal in combination with the value of the vital information measured on that day and the average value of the vital information on the day before the measurement date when determining the abnormal vital value. It becomes one index. The determination of the vital value abnormality will be described later.

  The information processing unit 11 of the information management unit 3 includes a doctor diagnosis result information recording unit 103 that records information of a diagnosis result when the subject actually receives a doctor's diagnosis. In the doctor diagnosis result information recording unit 103, the subject whose information is managed by the disease diagnosis apparatus 39 actually receives a doctor's examination, and at least the diagnosis result is “abnormal (specific disease state)”. , Two-stage information of “no abnormality (not a specific disease state)” is recorded.

  In addition, the information processing unit 11 of the information management unit 3 includes a bandwidth information correction processing unit 104. The bandwidth information correction processing unit 104 is a part for correcting the content of the bandwidth information 19 based on the diagnosis result of the doctor in conjunction with the vital information database 15, the bandwidth information processing unit 18, and the doctor diagnosis result information recording unit 103. is there. Specific contents of the correction of the bandwidth information will be described later.

[How to output bandwidth information]
The bandwidth information processing unit 18 selects the maximum or minimum value of the vital information for a certain period from the values of the vital information recorded in the vital information database 15 and the day before the day on which the vital abnormality is determined. The difference with the average value of vital information is calculated, and the range which becomes the width above or below the average value is specified. In other words, the band width information 19 is information composed of a numerical value range in which the value is larger than the average value of the vital information on the day before the vital abnormality determination and a numerical value range in which the value is smaller.

  Also, vital information on the day measured on the day when the abnormality is recorded in at least one of the item-specific health observation determination information is excluded from the target having the maximum value or the minimum value. Furthermore, vital information on the day when there is a sudden change from the previous day's value is also excluded from the target having the maximum value or the minimum value. In addition, the average value of vital information is a value calculated from the vital information for the latest seven days. Further, the vital information for a certain period is set, for example, as confirming vital information for the past 30 days based on the date on which the vital value abnormality is determined. Furthermore, the “abrupt change from the previous day value” part is a value that can be set according to the type of vital information, which will be described later.

  Here, the vital information for a certain period for calculating the bandwidth information 19 does not necessarily need to be vital information for the past 30 days based on the date on which the vital value is determined to be abnormal. For example, it can be set as appropriate, such as two weeks or around one month, half a year, or the entire period of recording. However, if it is a period of about 30 days, the bandwidth information can be set based on information reflecting the change in physical condition of the subject in the last month.

  In the configuration as described above, the day when the abnormality was recorded in the item-specific health observation judgment information and the numerical value that is abruptly changed from the previous day are excluded, so the subject's physical condition is considered to be healthy. The bandwidth information 19 can be set within a range. Here, the “sudden change from the value of the previous day” is a value that can be set according to the type of vital information to be measured, and this point will be described later.

For example, the bandwidth information will be described by taking as an example the case where the vital information is body temperature.
The graph which shows the fluctuation | variation of a subject's body temperature in FIG. 2 is shown.

  In the example of body temperature shown in FIG. 2, calculation of bandwidth information on October 5 will be described. Here, it is assumed that the normal heat 20 that is the average value of vital information on body temperature on October 4 which is the day before October 5 has become “36.5 ° C.” from the body temperature information for the latest seven days. Then, the bandwidth information of October 4 is calculated for the past 30 days, that is, in the range from the body temperature value until September 5.

  In addition, when calculating the band width based on the body temperature, a sudden change from the previous day value to be excluded from the target of vital information is a displacement of 0.5 ° C. or more.

  In addition, the displacement value from the measurement value of the previous day is not necessarily limited to 0.5 ° C. or more. For example, the displacement value may be 1.0 ° C. or higher, or may be set to other numerical values. However, a displacement of 0.5 ° C is a large value of the body temperature in one day, and it is considered that there is a high possibility that it reflects the change in physical condition. The temperature is preferably set to 0.5 ° C. or higher.

  As shown in FIG. 2, among the body temperature information from September 5th to October 4th, 37.3 ° C., which is the value of the body temperature 21 on September 9, is the body temperature 22 on September 8 of the previous day. The body temperature rises from 36.7 ° C. which is the value of 0.6 to 0.6 ° C. That is, since the displacement from the body temperature value of the previous day is 0.5 ° C. or more, 37.3 ° C., which is the body temperature 21 value on September 9, is excluded from the value of the bandwidth information calculation.

  Similarly, 35.9 ° C., which is the value of body temperature 23 on September 16, is a decrease in body temperature of 36.6 ° C., which is the value of body temperature 24 on September 15, the previous day. That is, since the displacement from the body temperature value of the previous day is 0.5 ° C. or more, 35.9 ° C., which is the value of the body temperature 23 on September 16, is excluded from the calculated bandwidth information.

  Of the remaining body temperature values, 36.9 ° C., which is the body temperature 25 on September 10, is the maximum value, and 36.1 ° C., which is the body temperature 26 on September 26, is the minimum value. Since the difference between the body temperature 25 and the normal temperature 20 is 0.4 ° C., and the difference between the normal temperature 20 and the body temperature 26 is 0.4 ° C., the band width information on October 4 is from the normal temperature 20 of 36.5 ° C. A range of 0.4 ° C. on the upper side (upper band width 27) and a range of 0.4 ° C. on the lower side from 36.5 ° C. (lower band width 28) are calculated.

  Based on the bandwidth information set in this way, an abnormality in the vital value of the subject on October 5 can be determined. For example, the measured value of the body temperature on October 5 in FIG. 2 is “36.4 ° C.”, and the normal heat 20 on the previous day is “36.5 ° C.”, but the difference between the normal heat 20 and the measured value on that day Is “−0.1 ° C.”, and this value is a value that falls within the range of the upper band width 27 and the lower band width 28. Therefore, in this index, the subject can be determined to be “healthy” without any abnormality. It will be a thing.

  On the other hand, if the measured value of the body temperature on October 5 is “37.0 ° C.”, the difference between the normal heat 20 on the previous day and the measured value is “+ 0.5 ° C.”, and the upper band width 27 The value exceeds the range of. As a result, “abnormal” is determined in the determination using the bandwidth information of the day as an index.

[Correction of bandwidth information based on diagnosis results]
The correction of the bandwidth information 18 based on the content of the doctor diagnosis result information by the bandwidth information correction processing unit 104 described above is, for example, as follows.
FIG. 3 is a graph showing an outline of automatic correction of bandwidth information.

  As one example, the vital value on the previous day of the subject's body temperature on a certain measurement day (that is, the previous day's normal temperature) is 36.5 ° C, and the previous day's width in the body temperature is in the range of 0.4 ° C above and below the previous day's normal temperature. And If the measured value of the subject's body temperature is 37.1 ° C. (+ 0.6 ° C.), the vital abnormality determination unit determines that the body temperature is abnormal (warning) because the body temperature exceeds the width of the previous day. When the subject is actually diagnosed by a doctor and diagnosed as having no abnormality, “normal” is recorded in the doctor diagnosis result information recording unit 103.

  At this time, the band width information correction processing unit 104 corrects the previous day band width of the subject from the range of 0.4 ° C. up and down from the previous day's normal heat to the range of 0.6 ° C. up and down. Record as. That is, the difference between the value of the body temperature when the diagnosis result that there is no abnormality and the previous day's normal heat, which is the reference at that time, is corrected to reflect in the new bandwidth information 18 of the subject.

  Here, the upper and lower temperature ranges are corrected from the upper and lower ranges of 0.4 ° C. to the upper and lower ranges of 0.6 ° C., but this set range may be corrected in more detail. That is, only the temperature range above the previous day's normal temperature is corrected, and after correction, the range of 0.6 ° C above the previous day's normal temperature and 0.4 ° C below is recorded as the corrected band width information 18. May be used. That is, only the side actually exceeding the range of the band width information 18 is corrected based on the previous day's normal heat. In addition, although the body temperature was taken as an example, a similar configuration can be configured such that the bandwidth information 18 is corrected based on the recording of the diagnosis result of the doctor similarly for other vital information. In particular, with regard to blood pressure and pulse pressure, correction of bandwidth information contributes to improving the accuracy of detection of vital abnormalities.

  As another example, it is assumed that the previous-day vital average value of the subject's body temperature on a certain measurement day (that is, the previous day's normal temperature) is 36.5 ° C, and the body temperature band is in the range of 0.4 ° C above and below the previous day's normal temperature. . If the measured value of the subject's body temperature is 36.8 ° C. (+ 0.3 ° C.), the vital abnormality determination processing unit determines that the body temperature is normal (no abnormality) because the body temperature does not exceed the previous day's width. When the subject is actually diagnosed by a doctor and diagnosed as having a disease caused by an inflammatory reaction (fever), the diagnosis result information recording unit indicates that there is an abnormality (something is a disease state). Is recorded.

  At this time, the band width information correction processing unit 104 corrects the previous day band width of the subject from the range of 0.4 ° C. up and down from the previous day's normal heat to the range of 0.3 ° C. up and down. Record as. That is, the difference between the body temperature value at the time of obtaining the diagnosis result that there is an abnormality and the previous day's normal fever as a reference at that time is corrected so as to be reflected in the new bandwidth information 18 of the subject.

  Here, the upper and lower temperature ranges are corrected from the upper and lower ranges of 0.4 ° C. to the upper and lower ranges of 0.3 ° C., but this set range may be corrected in more detail. That is, only the temperature range above the previous day's normal heat is corrected, and after correction, the range of 0.3 ° C. above the previous day's normal heat and 0.4 ° C. below are recorded as the corrected band width information 18. It may be a thing. That is, only the side actually exceeding the range of the band width information 18 is corrected based on the previous day's normal heat.

  FIG. 3 conceptually shows the correction of the band width information. The band width range 105 that was originally set is corrected based on the information of the diagnosis result of the doctor, and the band width 106 or band after correction of the target person is corrected. The width 107 is newly provided as a reference for detecting a vital abnormality.

  Here, the correction of the range of the bandwidth information 18 does not necessarily reflect the diagnosis result of one doctor. For example, the bandwidth information may be set to be corrected only after a result after a predetermined number of examinations. In particular, in the above-described example, care is required in correction when the range of the band width is expanded after correction. It is considered that it becomes difficult to detect a vital abnormality of the subsequent subject by expanding the range of the band width. Even in this case, it can be said that the configuration can be dealt with by further modification.

  In this way, the bandwidth information correction processing unit 104 corrects the content of the bandwidth information 18 based on the content of the diagnosis result information recorded in the doctor diagnosis result information recording unit 103, thereby obtaining the bandwidth information 18. It is possible to further improve the accuracy of detection of vital anomalies based on the content and reflect the individual differences.

  Here, it is not always necessary to classify the result of the diagnosis of the doctor in two stages, that is, whether there is an abnormality, and it may be configured to record with more detailed contents. For example, the content of abnormality is further divided into “abnormal (specific disease state)” and “abnormality is suspected (observation required)”, “abnormality (specific disease state)” or “no abnormality” The configuration may be such that the bandwidth information correction processing unit 104 corrects the bandwidth information 18 when the diagnosis result “not a specific disease state” is recorded.

  The above-described correction of the bandwidth information may employ a configuration that is automatically corrected according to the result of the disease determination unit. In other words, the actual doctor's diagnosis results are the contents that correction is made based on the result determined by the disease determination unit 42 as a specific disease state or the result of narrowing down a plurality of disease states. As described above, it is possible to employ a function of correcting the bandwidth information 18 based on the result of the disease determination unit 42 instead of the diagnosis result of the doctor.

  In the above example, the setting of the bandwidth information when the vital information is “body temperature” has been described. However, the pulse width, the pulse pressure, the maximum blood pressure and the minimum blood pressure, the blood sugar level, and the respiratory rate are similarly described. Information can be calculated. Further, bandwidth information can be set similarly for other information.

  What is different in the type of vital information in calculating the bandwidth information is a numerical value that serves as a reference for removing the vital information value when selecting the maximum value and the minimum value. This point will be described below.

  For example, if it is a pulse, the numerical value of the pulse in which the displacement of 10 or more from the value of the previous day was seen is also excluded.

  In addition, in the case of pulse pressure, a numerical value of pulse pressure in which a displacement of 10 or more from the previous day value is seen is also excluded.

  In the case of the systolic blood pressure and the diastolic blood pressure, numerical values of the systolic blood pressure and the diastolic blood pressure in which a displacement of 20 or more from the value of the previous day is seen are also excluded.

  Moreover, if it is a blood glucose level, the numerical value of the blood glucose level in which the displacement of 10 or more from the value of the previous day was seen is also excluded.

  Furthermore, if it is a respiration rate, the numerical value of the respiration rate in which the displacement of 5 or more from the value of the previous day was seen is also excluded.

  As described above, even if the types of vital information are different, the bandwidth information can be calculated similarly. Needless to say, the displacement value set in each vital is not limited to the above.

  Next, the contents of the vital value abnormality determination by the vital abnormality determination unit 1 to which the present invention is applied will be described.

  The determination of vital value abnormality will be described for each type of vital information.

(8) Determination of abnormality of vital value based on body temperature Determination of abnormality of vital value based on body temperature is performed based on the following three judgment grounds. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  Further, when it is determined as “abnormal” in the above-described determination of abnormality of the vital value, the determination of “abnormal” is notified by a two-stage display depending on the degree. The two-stage display is two displays of “warning” or “caution”. “Warning” is a notification of a level at which the value of vital information indicates a severe or important abnormal value, and a doctor's check is requested only by the result of the item of the vital information value. “Caution” is a notification that indicates a value that is not a normal value but has a smaller change from the calm state than the warning.

  In the determination of the abnormality of the vital value based on the body temperature, 1) The determination based on the sudden change is determined to be an abnormality of the subject when the displacement from the measurement value of the body temperature on the previous day becomes 1.0 ° C. or more, It is in a “warning” state. For example, when the body temperature of the previous day is 35.8 ° C. and the measured body temperature is 36.8 ° C., it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “warning”.

  This “warning” for body temperature is recorded in the personal information database 13 and the vital information database 15. Moreover, the fact that the value of the body temperature is “warning” is displayed on the display unit 12 of the information management unit 2 together with the vital information of the subject and the result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Here, the vital abnormality determination unit 1 constituting the present invention is configured to record and notify that there is an abnormality by displaying “warning” on the display unit 12, but is not limited to this mode. For example, when the body temperature value becomes “warning”, the configuration is such that the subject person is in a state of “warning” about the body temperature to a separate terminal or the like via the communication means connected to the information management unit It may be. That is, it is possible to adopt a configuration in which an abnormality of the subject person is notified to an external terminal installed in a hospital or the like via the Internet. Further, a mechanism may be used in which the display of the “warning” on the display unit 12 is confirmed by the staff of a care facility with the vital abnormality determination unit 1 to know the abnormality. The same applies to other vital information regarding the notification of abnormality.

  Moreover, in the judgment based on 1) a sudden change of body temperature, when the displacement from the measurement value of the body temperature on the previous day becomes 0.5 ° C. or more, it is determined that the subject is abnormal, and the state is “caution”. . For example, when the body temperature of the previous day is 35.8 ° C. and the measured body temperature is 36.3 ° C., it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “caution”.

  This “attention” for body temperature is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the body temperature value is “Caution” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 0.5 ° C. or more and determined as “warning” when the displacement value is 1.0 ° C. or more. . The display of these numerical values and determination contents can be changed as appropriate. However, a displacement of 0.5 ° C. or 1.0 ° C. is a large value as a displacement value of body temperature per day, and is a numerical value that can be easily used as a standard for stepwise evaluation. .

  In the above example, when “warning” is issued, information to that effect is transmitted to an external terminal or the like. However, in “caution”, the display on the display unit 12 is limited. Accordingly, it is possible to prevent the external terminal from being frequently notified of a “caution” state that is an abnormality of the subject's physical condition but is not severe. On the other hand, depending on the target person, even if “Caution” is set, it is possible to set not only to display but also to transmit information to an external terminal.

  In the determination of abnormality of vital value based on body temperature, 2) determination based on average value is the above-mentioned previous day normal heat, that is, the value of the day when abnormality is observed in item-specific health observation information, and the displacement from the body temperature of the previous day is 0 The average value of the body temperature of the day before the day when the vital abnormality is determined (previous day heat) calculated from the body temperature values for the most recent 7 days excluding the day value of 5 ° C. or higher is used. Moreover, the upper side band width and the lower side band width, which are the previous day band width of the body temperature on the day before the day on which the subject's vital abnormality is determined, are also used.

  That is, it is determined whether or not the difference between the body temperature value measured on that day and the previous day's normal heat exceeds the temperature range of the upper band width or the lower band width of the previous day band width. I do.

  For example, in the example of October 5 in FIG. 2 described above, the previous day's normal heat 20 of October 4 which is the previous day is 36.5 ° C., and the range of the upper band width 27 is the previous day's normal heat 20. The range of 0.4 ° C. from 5 ° C. to the upper side, and the lower band width 28 is in the range of 0.4 ° C. from 36.5 ° C. to the lower side. Moreover, the measured value of the body temperature on October 5 is 36.4 degreeC. In this case, the difference between the previous day's normal heat 20 and the measured value 36.4 ° C. of the day is “−0.1 ° C.”, and this value is within the range between the previous day's normal heat 20 and the lower belt width 28. is there. That is, it is determined that the body temperature of the subject on October 5 is “health” that is not regarded as abnormal.

  On the other hand, in the above-mentioned example on October 5, it is assumed that the body temperature value measured on October 5 was “35.9 ° C.”. In this case, the difference between the previous day's normal heat 20 and the measured value 35.9 ° C. of the day is “−0.5 ° C.”, and this value exceeds the range between the previous day's normal heat 20 and the lower belt width 28. . That is, the body temperature of the subject on October 5 is regarded as abnormal, and the fact that the body temperature value is “warning” is displayed. That is, when it is regarded as abnormal in the judgment based on the normal heat and bandwidth information of the subject that varies from day to day, it is judged not to be “caution” but to correspond to “warning”.

  In addition, in the determination of abnormal vital values based on body temperature, in 2) the determination based on the average value, the timing at which there is no accumulation of body temperature value information sufficient to calculate the band width information of the subject described above, The reference at the stage before the width information is set can be set. Furthermore, it is possible to set a reference at a timing when there is no accumulation of body temperature value information enough to calculate the previous day's normal heat, that is, before the previous day's normal heat is set.

  First, it is premised that the previous day's normal heat calculated from the body temperature values for the most recent 7 days described so far has been calculated in the standard before the bandwidth information is set. And the range of 0.5 ° C or more or 1.0 ° C or more based on the previous day heat as the upper band width, and the range of 0.5 ° C or less or 1.0 ° C or less based on the previous day heat as the lower band width, Set as a definitive bandwidth range.

  As an example of the determination at the stage before the bandwidth information is set, if the previous day's normal temperature is “36.5 ° C.” and the body temperature measured on that day is “36.4 ° C.”, The difference between the measured values is “−0.1 ° C.”, and this value is inside the range of 0.5 ° C. or less based on the previous day's normal heat. That is, it is determined that the subject's body temperature of the day is “health” that is not considered abnormal.

  On the other hand, in the above example, it is assumed that the value of the body temperature measured on that day is “35.8 ° C.”. In this case, the difference between the previous day's normal temperature and the measured value 35.8 ° C on that day is “−0.6 ° C.”, and this value exceeds the range of 0.5 ° C. or less based on the previous day's normal temperature. It is determined that there is an abnormality, and a state of “caution” is set.

  Further, in the above example, it is assumed that the value of the body temperature measured on that day is “35.4 ° C.”. In this case, the difference between the previous day's normal heat and the measured value 35.4 ° C on that day is “−1.1 ° C.”, and this value exceeds the range of 1.0 ° C. or less based on the previous day's normal heat. Is determined to be “warning”.

  In this way, the standard at the stage before the bandwidth information is set uses the previous day's normal heat and whether it exceeds the temperature range within 0.5 ° C above and below or within 1.0 ° C above and below based on the previous day normal heat. When it is regarded as abnormal, it is set to display two levels of caution or warning.

  Here, it is not necessarily limited to the content that is determined as “Caution” at 0.5 ° C. or higher and “Warning” at 1.0 ° C. or higher, based on the previous day's normal heat. The display of these numerical values and determination contents can be changed as appropriate.

  Subsequently, in the reference before the setting of the previous day's normal heat, the body temperature information 14 at the time of medical examination, which is information on the body temperature measured at the time of the medical examination recorded in the personal information database 13 is used. Then, the upper band width is 0.5 ° C. or more or 1.0 ° C. or more based on the body temperature information 14 at the time of medical examination, and the lower band width is 0.5 ° C. or less or 1 A range of 0 ° C. or lower is set as the definitive band width range.

  As an example of determination in the stage before the setting of the previous day normal heat, when the temperature information 14 at the time of medical examination is “36.2 ° C.” and the value of the body temperature measured on that day is “36.7 ° C.” The difference between the body temperature information 14 at the time of the medical examination and the measured value is “+ 0.5 ° C.”, and this value is within the range of 0.5 ° C. or more based on the body temperature information 14 at the time of the medical examination. That is, it is determined that the subject's body temperature of the day is “health” that is not considered abnormal.

  On the other hand, in the above example, it is assumed that the value of the body temperature measured on that day is “36.8 ° C.”. In this case, the difference between the body temperature information 14 at the time of the medical examination and the measured value 36.8 ° C. of the day is “+ 0.6 ° C.”, and this value is in the range of 0.5 ° C. or more based on the body temperature information 14 at the time of the medical examination. It is determined that the subject is abnormal, and a state of “caution” is set.

  Further, in the above example, it is assumed that the value of the body temperature measured on that day is “35.1 ° C.”. In this case, the difference between the body temperature information 14 at the time of medical examination and the measured value 35.1 ° C. of the day is “−1.1 ° C.”, and this value is 1.0 ° C. or less based on the body temperature information 14 at the time of the medical examination. Beyond the range, it is determined that the subject is abnormal, and the status is “warning”.

  Thus, in the standard in the stage before setting the previous day's normal heat, the temperature range within the upper and lower 0.5 ° C. or the upper and lower 1.0 ° C. based on the body temperature information 14 at the medical examination and the body temperature information 14 at the medical examination When it is regarded as abnormal using the point of exceeding, it is set to display two levels of caution or warning.

  Here, it is not necessarily limited to the content that is determined as “caution” at 0.5 ° C. or higher and “warning” at 1.0 ° C. or higher based on the body temperature information 14 at the time of medical examination. The display of these numerical values and determination contents can be changed as appropriate.

  In the determination of abnormalities in vital values based on body temperature, 3) the determination based on absolute values means that if the measured value on the day on which abnormalities in vital values are determined is 35 ° C. or lower or 40 ° C. or higher, the subject's abnormalities It is determined that the state is “warning”. The absolute values of 35 ° C. and 40 ° C. are values that can hardly be recorded in the range of normal human body temperature, and are values that can be immediately determined as abnormal physical conditions. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, determination of abnormal vital values based on body temperature is made on the basis of three judgment grounds: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value. . In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of abnormality of the vital value based on the body temperature is configured to display or notify that it is regarded as abnormal when any one of the above three determination grounds corresponds to “warning”. In addition, if 1) Judgment based on sudden change or 2) Judgment based on average value may fall under “Caution”, if there is no other “Warning” decision, information management It is configured such that “caution” is only displayed in the body temperature item of the display unit 12 of the unit 2.

  Hereinafter, the determination of abnormalities in vital values based on vital information other than body temperature will be described.

(9) Determination of Vital Value Abnormality Based on Oxygen Saturation Determination of vital value abnormality based on oxygen saturation is performed based on the following two judgment grounds. There are three reasons for this judgment: 1) judgment based on abrupt changes and 2) judgment based on absolute values.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In the determination of abnormalities in vital values based on oxygen saturation, 1) Judgment based on abrupt changes means that if the percentage of displacement from the measured value of oxygen saturation on the previous day exceeds 4%, the subject Is determined to be “warning”. For example, when the oxygen saturation of the previous day is 99% and the measured oxygen saturation is 94%, it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “warning”.

  The “warning” for the oxygen saturation is recorded in the personal information database 13 and the vital information database 15. In addition, the display unit 12 of the information management unit 2 displays that the value of the oxygen saturation is “warning” together with the determination result of the subject's vital information, an inquiry, and the like. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  In addition, in the judgment based on 1) abrupt change in oxygen saturation, if the rate of displacement from the measured value of oxygen saturation on the previous day exceeds 2%, it is determined that the subject is abnormal, ”State. For example, when the oxygen saturation of the previous day is 99% and the measured oxygen saturation is 96%, it is regarded as an abnormality of the subject's physical condition, and is determined to correspond to “caution”.

  The “attention” regarding the oxygen saturation is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the body temperature value is “Caution” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “CAUTION” when the rate of displacement from the measured value of the previous day exceeds 2% and determined as “WARNING” when the rate of displacement exceeds 4%. . The display of these numerical values and determination contents can be changed as appropriate. However, the rate of displacement of 2% and 4% is large as the rate of displacement of oxygen saturation in one day, and it is a numerical value that can be easily used as a standard for stepwise evaluation, so it is adopted as a criterion. .

  In the determination of abnormalities in vital values based on oxygen saturation, 2) the determination based on absolute values corresponds to “caution” when the measured value is less than 92% on the day on which abnormalities in vital values are determined. And When the measured value of oxygen saturation is less than 90%, the state is “warning”. As described above, it is determined whether or not there is an abnormality based on the measured value and the absolute value of the oxygen saturation twice. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the abnormality of the vital value based on the oxygen saturation is determined based on two judgment grounds: 1) judgment based on a sudden change and 2) judgment based on the absolute value. In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  The determination of abnormality of the vital value based on the oxygen saturation is configured to display or notify that it is regarded as abnormal when any one of the above two determination grounds corresponds to “warning”. In addition, even if “Caution” is applicable, if “Warning” is not determined for other reasons, “Caution” is displayed in the item of oxygen saturation on the display unit 12 of the information management unit 2. It has a configuration that can only be made.

(10) Determination of abnormality of vital value based on pulse The determination of abnormality of vital value based on pulse determines abnormality based on the following three determination grounds, similarly to the determination based on body temperature. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In the determination of vital value abnormality based on the pulse, 1) the determination based on the sudden change is determined as an abnormality of the subject when the displacement from the pulse measurement value of the previous day is 20 or more, and “warning” State. For example, if the previous day's pulse is 65 and the measured pulse is 85, it is regarded as an abnormality of the subject's physical condition, and is determined to correspond to “warning”.

  This “warning” for the pulse is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the pulse value is “warning” together with the vital information of the subject and the determination result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Further, in the determination based on 1) abrupt change of the pulse, if the displacement from the measured value of the pulse on the previous day becomes 10 or more, it is determined that the subject is abnormal, and the state is “caution”. For example, if the previous day's pulse is 65 and the measured pulse is 75, it is regarded as an abnormality of the subject's physical condition, and is determined to correspond to “caution”.

  The “attention” regarding the pulse is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the pulse value is “attention” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 10 or more and determined as “warning” when the displacement value is 20 or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacement of 10 or 20 is a large value as the displacement value in one day of the pulse, and is a numerical value that can be easily used as a criterion for stepwise evaluation, and is adopted as a criterion.

  In the determination of abnormal vital values based on the pulse, 2) the determination based on the average value is the above-described average value of the pulse, that is, the value of the day when abnormality is observed in the item-specific health observation information, and the displacement from the pulse of the previous day. Is calculated from the pulse values for the most recent 7 days excluding the value of 10 or more, and the average value of the pulse the day before the day on which the vital abnormality is determined is used. Moreover, the upper side band width and the lower side band width, which are the previous day band width of the pulse of the day before the day on which the determination of the vital abnormality of the subject described above, is also used.

  In other words, whether or not the difference between the pulse value measured on the day of determining the abnormality of the vital value and the pulse average value of the previous day exceeds the range of the upper band width or the lower band width of the previous day band width, Judgment is made.

  For example, the pulse average value of the day before the day of judging the abnormality of the vital value is 67.7, and the range of the upper band width is from the pulse average value of the previous day 67.7 to the range of 14.3 above the lower band. It is assumed that the width is in the range of 9.7 from 67.7 to the lower side. In addition, it is assumed that the measured value of the pulse of the day for determining abnormality of the vital value is 74. In this case, the difference between the pulse average value of the previous day and the measurement value 74 of that day is “+6.3”, and this value is within the range between the pulse average value of the previous day and the upper band width. That is, it is determined as “healthy” that the pulse of the subject on the day for determining abnormality of the vital value is not regarded as abnormal.

  On the other hand, in the example of the day on which the abnormality of the vital value is determined, it is assumed that the pulse value measured on that day is “55”. In this case, the difference between the pulse average value of the previous day and the measurement value 55 of the previous day is “−12.7”, which exceeds the range between the pulse average value of the previous day and the lower band width. In other words, the pulse of the subject on that day is regarded as abnormal, and it is displayed that the value of the pulse is “warning”. That is, when it is regarded as abnormal in the judgment based on the average value of the pulse of the subject who changes daily and the bandwidth information, it is judged not to be “caution” but to correspond to “warning”.

  Further, in the determination of abnormal vital values based on the pulse, 2) the determination based on the average value is similar to the determination based on the body temperature, the information on the pulse value that only calculates the bandwidth information of the subject described above. It is possible to set a reference when there is no accumulation, that is, before the bandwidth information is set. Furthermore, it is also possible to set a reference at a timing when there is no accumulation of pulse value information sufficient to calculate the average pulse value of the subject, that is, before the pulse average value of the previous day is set.

  In the above case, the basic configuration is the same as the determination based on the body temperature, and the numerical value within the definitive bandwidth range is within 10 or 20 or 20 or less on the basis of the pulse average value of the previous day. It is determined that a value that is 10 or more in the vertical direction corresponds to “caution”, and a value that is 20 or more in the vertical direction corresponds to “warning”.

  Here, it is not necessarily limited to the content that is determined as “caution” at 10 or more and “warning” at 20 or more based on the pulse average value of the previous day. The display of these numerical values and determination contents can be changed as appropriate.

  In addition, if there is no accumulation of pulse value information that can calculate the average value of the pulse, the measured value of the pulse at the time of the subject's health checkup, etc. is set based on the numerical value acquired as the subject's information in advance can do.

  Here, it is not necessarily limited to the content determined as “caution” at 10 or more and “warning” at 20 or more on the basis of the measured value of the pulse at the time of the health check. The display of these numerical values and determination contents can be changed as appropriate.

  In the determination of vital value abnormality based on the pulse, 3) the determination based on the absolute value is determined as an abnormality of the subject when the measured value of the day on which the vital value abnormality is determined is 50 or less or 100 or more. And “Warning”. The absolute values of 50 and 100 are values that can hardly be recorded in the normal range of normal human pulsation, and are values that can be immediately determined as abnormal physical conditions. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the abnormality of the vital value based on the pulse is determined based on three judgment grounds: 1) judgment based on abrupt change, 2) judgment based on the average value, and 3) judgment based on the absolute value. . In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of abnormality of the vital value based on the pulse is configured to display or notify that it is regarded as abnormal when any one of the above three determination grounds corresponds to “warning”. In addition, even if “Caution” is applicable, “Caution” is displayed in the pulse item of the display unit 12 of the information management unit 2 if “Warning” is not determined for other reasons. It has only a configuration.

(11) Determination of Vital Value Abnormality Based on Pulse Pressure Vital value abnormality determination based on pulse pressure is determined based on the following three determination grounds in the same manner as the determination based on body temperature. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In the determination of an abnormality in the vital value based on the pulse pressure, 1) the determination based on the abrupt change is determined as an abnormality of the subject when the displacement from the measurement value of the pulse pressure on the previous day becomes 20 or more. “Warning” state. For example, when the pulse pressure on the previous day is 40 and the measured pulse pressure is 65, it is regarded as an abnormality of the subject's physical condition, and is determined to correspond to “warning”.

  This “warning” for the pulse pressure is recorded in the personal information database 13 and the vital information database 15. In addition, the display unit 12 of the information management unit 2 displays that the pulse pressure value is “warning” along with the vital information of the subject and the result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Further, in the determination based on 1) abrupt change of the pulse pressure, if the displacement from the measured value of the pulse pressure on the previous day becomes 10 or more, it is determined that the subject is abnormal, and the state is “caution”. For example, when the pulse pressure on the previous day is 45 and the measured pulse pressure is 35, it is regarded as an abnormality of the subject's physical condition, and is determined to correspond to “caution”.

  The “attention” regarding the pulse pressure is recorded in the personal information database 13 and the vital information database 15. In addition, the display unit 12 of the information management unit 2 displays that the pulse pressure value is “caution” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 10 or more and determined as “warning” when the displacement value is 20 or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacements of 10 and 20 are large as the displacement values of the pulse pressure in one day, and are easy to use as a standard for stepwise evaluation, and are therefore adopted as judgment criteria.

  In the determination of abnormal vital value based on pulse pressure, 2) the determination based on average value is the above-mentioned average value of pulse pressure, that is, the value of the day when abnormality is observed in the item-specific health observation information, and the pulse pressure of the previous day The average value of the pulse pressure on the day before the day when the vital abnormality is determined, which is calculated from the pulse pressure values for the most recent seven days excluding the value of 10 or more from the above, is used. Moreover, the upper side band width and the lower side band width, which are the previous day band widths of the pulse pressure on the day before the day on which the determination of the vital abnormality of the subject, described above, is also used.

  That is, whether or not the difference between the pulse pressure value measured on the day for determining abnormal vital values and the pulse pressure average value of the previous day exceeds the upper band width or lower band width of the previous day band width. Determine abnormality.

  For example, the average value of the pulse pressure on the day before determining the abnormality of the vital value is 47.1, and the range of the upper band width is the range of 45.9 from the pulse pressure average value of the previous day to 15.9 on the upper side. Suppose that the lower band width is in the range of 12.1 from 47.1 to 12.1. In addition, the measurement value of the pulse pressure of the day for determining abnormality of the vital value is 56. In this case, the difference between the pulse pressure average value on the previous day and the measurement value 56 on that day is “+8.9”, and this value is within the range between the pulse pressure average value on the previous day and the upper band width. is there. That is, it is determined that the subject's pulse pressure for determining abnormality of the vital value is “health” that is not regarded as abnormal.

  On the other hand, in the example of the day for determining the abnormality of the vital value, it is assumed that the value of the pulse pressure measured on that day is “33”. In this case, the difference between the pulse pressure average value on the previous day and the measurement value 33 on that day is “−14.1”, which exceeds the range between the pulse pressure average value on the previous day and the lower band width. is there. In other words, the pulse pressure of the subject on that day is regarded as abnormal, and it is displayed that the value of the pulse pressure is “warning”. That is, when it is regarded as abnormal in the judgment based on the average value and the bandwidth information of the subject's pulse pressure that varies from day to day, it is judged not to be “caution” but to correspond to “warning”.

  Further, in the determination of abnormal vital value based on pulse pressure, in the determination based on 2) average value, as in the determination based on body temperature, the value of the pulse pressure sufficient to calculate the above-described subject's bandwidth information is calculated. The timing at which no information is accumulated, that is, the reference at the stage before the bandwidth information is set can be set. Furthermore, it is possible to set a reference at a timing when there is no accumulation of pulse pressure value information for calculating the average value of the subject's pulse pressure, that is, before the pulse pressure average value of the previous day is set. .

  In the above case, the basic configuration is the same as the determination based on the body temperature, and the numerical value that is the definitive bandwidth range is within 10 or 20 or 20 on the basis of the pulse pressure average value on the previous day. . It is determined that a value that is 10 or more in the vertical direction corresponds to “caution”, and a value that is 20 or more in the vertical direction corresponds to “warning”.

  Here, it is not necessarily limited to the content that is determined as “caution” at 10 or more and “warning” at 20 or more based on the pulse pressure average value of the previous day. The display of these numerical values and determination contents can be changed as appropriate.

  In addition, when there is no accumulation of pulse pressure value information that can calculate the average value of the pulse pressure, a numerical value acquired as information about the subject in advance, such as a measured value of the pulse pressure at the time of the subject's health checkup It can be set as a standard.

  Here, it is not necessarily limited to the content that is determined as “caution” at 10 or more and “warning” at 20 or more based on the measured value of the pulse pressure at the time of the medical examination. The display of these numerical values and determination contents can be changed as appropriate.

  In the determination of the abnormality of the vital value based on the pulse pressure, 3) The determination based on the absolute value is determined as an abnormality of the subject when the measured value on the day when the abnormality of the vital value is determined is less than 30, It is in a “warning” state. This absolute value of less than 30 is a value that can hardly be recorded in the range of normal human normal pulse pressure, and is a value that can be immediately determined as an abnormal physical condition. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the abnormality of vital values based on pulse pressure is determined based on three judgment grounds: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value. Become. In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of the abnormality of the vital value based on the pulse pressure is configured to display or notify that the abnormality is regarded as abnormal when any one of the above three determination grounds corresponds to “warning”. In addition, even if “Caution” is applicable, “Caution” is displayed in the pulse pressure item of the display unit 12 of the information management unit 2 unless “Warning” is determined based on other judgment grounds. It has a configuration that only

(12) Vital value abnormality determination based on systolic blood pressure and diastolic blood pressure Vital value abnormality determination based on systolic blood pressure and diastolic blood pressure is determined based on the following three judgment grounds, similarly to the determination based on body temperature. To do. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In the determination of abnormalities in vital values based on systolic blood pressure and diastolic blood pressure, 1) judgment based on abrupt changes means that when the displacement from the measured values of systolic blood pressure and diastolic blood pressure on the previous day is 30 or more, It is determined that there is an abnormality and the state is “warning”. For example, when the highest blood pressure on the previous day is 115 and the measured highest blood pressure is 145, it is considered that the subject's physical condition is abnormal, and is determined to correspond to “warning”.

  The “warning” for the maximum blood pressure and the minimum blood pressure is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the values of the systolic blood pressure and the diastolic blood pressure are “warning” together with the vital information of the subject and the result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Further, in the judgment based on 1) abrupt change of the systolic blood pressure and the systolic blood pressure, when the displacement from the measured values of the systolic blood pressure and the systolic blood pressure on the previous day is 20 or more, it is determined that the subject is abnormal, and “attention” State. For example, when the minimum blood pressure on the previous day is 65 and the measured minimum blood pressure is 85, it is considered that the subject's physical condition is abnormal, and it is determined to correspond to “caution”.

  The “attention” regarding the maximum blood pressure and the minimum blood pressure is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the values of the systolic blood pressure and the diastolic blood pressure are “caution” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 20 or more and determined as “warning” when the displacement value is 30 or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacements of 20 and 30 are large as the daily displacement values of the systolic blood pressure and the systolic blood pressure, and are easy to use as criteria for stepwise evaluation, and are adopted as judgment criteria.

  In the determination of abnormal vital values based on systolic blood pressure and diastolic blood pressure, 2) the determination based on the average value is the above-described average value of systolic blood pressure and diastolic blood pressure, that is, the value of the day when abnormality is observed in the item-specific health observation information. And the systolic blood pressure of the day before the day on which the vital abnormality is determined, calculated from the values of the systolic blood pressure and the systolic blood pressure for the most recent 7 days excluding the values of 10 or more from the systolic blood pressure and the systolic blood pressure of the previous day. The average value and the average value of diastolic blood pressure are used. Further, the upper band width and the lower band width, which are the previous day band widths of the highest blood pressure and the lowest blood pressure on the day before the determination of the vital abnormality of the subject described above, are also used.

  That is, the difference between the maximum blood pressure value and the minimum blood pressure average value measured on the day for determining abnormalities in the vital value and the previous day maximum blood pressure average value and minimum blood pressure average value is the upper band width or lower band width of the previous day band width. An abnormality is determined based on whether or not the range is exceeded.

  For example, the systolic blood pressure average value on the day before determining the abnormality of the vital value is 130.3, and the range of the upper band width is in the range of 137.7 from the systolic blood pressure average value on the previous day to 7.7 on the upper side, It is assumed that the lower band width is in the range of 8.3 from 130.3 to the lower side. Further, the measurement value of the systolic blood pressure on the day for determining whether the vital value is abnormal is 130. In this case, the difference between the highest blood pressure average value on the previous day and the measured value 130 on that day is “+0.3”, and this value is within the range between the highest blood pressure average value on the previous day and the upper band width. is there. That is, it is determined that the subject's systolic blood pressure for determining abnormality of the vital value is “health” that is not considered abnormal.

  On the other hand, in the example of the day on which the abnormality of the vital value is determined, it is assumed that the value of the systolic blood pressure measured on that day is “121”. In this case, the difference between the highest blood pressure average value on the previous day and the measured value 121 on that day is “−9.3”, and this value exceeds the range between the highest blood pressure average value on the previous day and the lower band width. is there. That is, the maximum blood pressure of the subject on that day is regarded as abnormal, and it is displayed that the value of the maximum blood pressure is “warning”. That is, when it is regarded as abnormal in the judgment based on the average value of the systolic blood pressure and the band width information of the subject that varies from day to day, it is judged not to be “caution” but to correspond to “warning”. The same determination can be made for the value of the minimum blood pressure.

  Further, in the determination of abnormal vital values based on the systolic blood pressure and the systolic blood pressure, in the determination based on 2) the average value, as in the determination based on the body temperature, the systolic blood pressure for which only the above-described bandwidth information of the subject is calculated. In addition, it is possible to set a reference at the timing when information on the value of the minimum blood pressure is not accumulated, that is, before the bandwidth information is set. In addition, the timing when there is no accumulation of information on the maximum blood pressure and the minimum blood pressure for calculating the average value of the subject's maximum blood pressure and the average value of the minimum blood pressure, that is, the maximum blood pressure average value and the minimum blood pressure average value on the previous day It is also possible to set a reference at a stage prior to setting.

  In the above case, the basic configuration is the same as the determination based on body temperature, and the numerical value within the definitive bandwidth range is within 10 or 20 or 20 on the basis of the highest blood pressure average value and the lowest blood pressure average value on the previous day It will be. It is determined that a value that is 20 or more in the vertical direction corresponds to “caution”, and a value that is 30 or more in the vertical direction corresponds to “warning”.

  Here, it is not necessarily limited to the content that is determined as “caution” at 20 or more and “warning” at 30 or more based on the average value of the maximum blood pressure and the average value of the minimum blood pressure. The display of these numerical values and determination contents can be changed as appropriate.

  In addition, if there is no accumulation of information on the maximum blood pressure and the minimum blood pressure that can calculate the average value of the maximum blood pressure and the average value of the minimum blood pressure, the measured values of the maximum blood pressure and the minimum blood pressure at the time of the subject's health examination For example, it is possible to set based on a numerical value acquired in advance as information about the subject.

  Here, it is not necessarily limited to the content that is determined as “caution” at 20 or more and “warning” at 30 or more based on the measured values of the maximum blood pressure and the minimum blood pressure at the time of the health check. The display of these numerical values and determination contents can be changed as appropriate.

  In the determination of abnormalities in vital values based on systolic blood pressure and diastolic blood pressure, 3) the determination based on absolute values means that the measured value on the day for determining abnormalities in vital values is 180 or more at the highest blood pressure and 50 or less at the lowest blood pressure. If it becomes, it is determined that the subject is abnormal, and a “warning” state is set. The absolute value of the maximum blood pressure of 180 or more and the minimum blood pressure of 50 or less is a value that can hardly be recorded in the normal normal maximum blood pressure and minimum blood pressure ranges. It is a value that can be judged. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the abnormality of the vital value based on the systolic blood pressure and the diastolic blood pressure is made based on three judgment grounds: 1) judgment based on abrupt change, 2) judgment based on the average value, and 3) judgment based on the absolute value. Will be. In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of abnormality of the vital value based on the maximum blood pressure and the minimum blood pressure is configured to display or notify that it is regarded as abnormal when any one of the above three determination grounds falls under “warning”. Yes. In addition, even if “Caution” is applicable, if “Warning” is not determined for other reasons, “Caution” is displayed in the items of maximum blood pressure and minimum blood pressure on the display unit 12 of the information management unit 2. It is configured to display only.

(13) Determination of Vital Value Abnormality Based on Blood Glucose Level Vital value abnormality determination based on blood glucose level is determined based on the following three determination grounds, similarly to determination based on body temperature. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In the determination of vital value abnormality based on blood sugar level, 1) judgment based on abrupt change is determined to be an abnormality of the subject when the deviation from the blood sugar level measurement value on the previous day is 20 mg / dL or more. , “Warning”. For example, when the blood glucose level on the previous day is 102 mg / dL and the measured pulse pressure is 75 mg / dL, it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “warning”. In addition, the example described below is a description about the measurement of fasting blood glucose.

  This “warning” for the blood glucose level is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the blood sugar level is “warning” together with the vital information of the subject and the result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Further, in the determination based on 1) a sudden change in blood glucose level, if the displacement from the measurement value of the blood glucose level on the previous day is 10 mg / dL or more, it is determined that the subject is abnormal, and the state is “caution”. The For example, when the blood glucose level of the previous day is 95 and the measured blood glucose level is 82 mg / dL, it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “caution”.

  The “attention” regarding the blood glucose level is recorded in the personal information database 13 and the vital information database 15. In addition, the display unit 12 of the information management unit 2 displays that the blood glucose level is “Caution” along with the vital information of the subject and the result of the inquiry. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 10 or more and determined as “warning” when the displacement value is 20 or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacements of 10 and 20 are large as the daily displacement value of the blood glucose level, and are easy to use as a standard for the stepwise evaluation, and thus are adopted as the determination standard.

  In the determination of abnormal vital value based on blood glucose level, 2) the determination based on the average value is the average value of the above-mentioned blood glucose level, that is, the value of the day when abnormality is observed in the item-specific health observation information, and the blood glucose level of the previous day The average value of the blood glucose level on the day before the day when the vital abnormality is determined, which is calculated from the blood glucose level values for the most recent 7 days excluding the value of 10 mg / dL or more from the above, is used. Moreover, the upper side bandwidth and the lower side bandwidth which are the bandwidth of the blood glucose level on the day before the day on which the vital abnormality of the subject is determined as described above are also used.

  That is, whether or not the difference between the blood sugar level measured on the day for determining abnormalities in the vital value and the average blood sugar level on the previous day exceeds the upper band width or the lower band width of the previous day band width. Determine abnormality.

  For example, the average value of the blood sugar level on the day before judging the abnormality of the vital value is 92.6 mg / dL, and the range of the upper band width is 17 upward from 92.6 mg / dL which is the blood sugar level average value of the previous day. Suppose that the lower band width is 92.6 mg / dL and the lower band is 24.6. In addition, the measurement value of the blood glucose level on the day for determining abnormality of the vital value is 95 mg / dL. In this case, the difference between the blood glucose level average value of the previous day and the measurement value 95 mg / dL of the day is “+2.6”, and this value is in the range between the blood glucose level average value of the previous day and the upper band width. Is. That is, it is determined that the subject's blood sugar level on the day for determining abnormality of the vital value is “health” that is not regarded as abnormal.

  On the other hand, in the example of the day for determining abnormality of the vital value, it is assumed that the blood glucose level measured on that day is “60”. In this case, the difference between the blood glucose level average value of the previous day and the measurement value 60 mg / dL of the day is “−32.6”, which exceeds the range between the blood glucose level average value of the previous day and the lower band width. Is. That is, the blood glucose level of the subject on that day is regarded as abnormal, and a message indicating that the blood glucose level is “warning” is displayed. That is, when it is regarded as abnormal in the judgment based on the average blood glucose level and bandwidth information of the subject who fluctuates from day to day, it is judged not to be “caution” but to correspond to “warning”.

  In the determination of vital value abnormality based on blood glucose level, in the determination based on 2) average value, as in the determination based on body temperature, the information on the blood glucose level sufficient to calculate the above-described bandwidth information of the subject is used. It is possible to set a reference when there is no accumulation, that is, before the bandwidth information is set. Furthermore, it is also possible to set a reference at a timing when there is no accumulation of blood glucose level information for calculating the average blood glucose level of the subject, that is, before the average blood glucose level is set.

  In the above case, the basic configuration is the same as the determination based on the body temperature, and the numerical value within the definitive bandwidth range is within 10 or 20 or 20 on the basis of the average value of the blood glucose level. It is determined that a value that is 10 or more in the vertical direction corresponds to “caution”, and a value that is 20 or more in the vertical direction corresponds to “warning”.

  Here, it is not necessarily limited to the content that is determined as “caution” at 10 or more and “warning” at 20 or more based on the average value of blood glucose levels. The display of these numerical values and determination contents can be changed as appropriate.

  In addition, when there is no accumulation of blood glucose information that can be used to calculate the average value of blood glucose, the values obtained as information about the subject in advance, such as the measured value of the blood glucose level during the subject's health checkup, are used as a reference. Can be set.

  Here, it is not necessarily limited to the content that is determined to be “caution” at 10 or more and “warning” at 20 or more based on the measurement value of the blood glucose level at the time of the medical examination. The display of these numerical values and determination contents can be changed as appropriate.

  In the determination of vital value abnormality based on blood glucose level, 3) the determination based on the absolute value is a target when the measured value of the day on which the vital value abnormality is determined is 200 mg / dL or more or less than 50 mg / dL. It is determined that the person is abnormal and the state is “warning”. This absolute value of 200 mg / dL or more or less than 50 mg / dL is a value that can hardly be recorded in the normal blood glucose range of normal humans, and is a value that can be immediately judged as an abnormal physical condition. is there. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the determination of abnormalities in vital values based on blood sugar levels is made on the basis of three judgment grounds: 1) judgment based on sudden changes, 2) judgment based on average values, and 3) judgment based on absolute values. Become. In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of abnormality of the vital value based on the blood sugar level is configured to display or notify that it is regarded as abnormal when any one of the above three determination grounds corresponds to “warning”. In addition, even if “Caution” is applicable, “Caution” is displayed in the blood glucose level item of the display unit 12 of the information management unit 2 if “Warning” is not determined for other reasons. It has a configuration that only

(14) Determination of Vital Value Abnormality Based on Respiration Rate Vital value abnormality determination based on respiration rate is determined based on the following three determination grounds in the same manner as the determination based on body temperature. There are three reasons for this judgment: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value.

  In addition, when it is determined as “abnormal” in the vital value abnormality determination described above, the notification of “abnormal” is given in two stages of “warning” or “caution” depending on the degree. And

  In determining vital value abnormality based on respiratory rate, 1) Judgment based on abrupt change is determined to be an abnormality of the subject when the displacement from the measured value of respiratory rate the previous day is 10 times / minute or more. And “Warning”. For example, when the respiratory rate of the previous day is 12 times / minute and the measured respiratory rate is 22 times / minute, it is regarded as an abnormality of the subject's physical condition and is determined to correspond to “warning”. .

  This “warning” for the respiratory rate is recorded in the personal information database 13 and the vital information database 15. Further, the display unit 12 of the information management unit 2 displays that the respiratory rate value is “warning” together with the vital information of the subject and the result of the inquiry. Moreover, the warning in a vital value is linked | related with a subject, is recorded on the vital information database 15, and is utilized for subsequent diagnosis.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 5 or more and determined as “warning” when the displacement value is 10 or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacements of 5 and 10 are large as the daily displacement values of the respiration rate, and are easy to use as a standard for stepwise evaluation, and thus are adopted as judgment criteria.

  In addition, in the judgment based on 1) sudden change in the respiratory rate, if the displacement from the measured value of the respiratory rate on the previous day is 5 times / minute or more, it is determined that the subject is abnormal, and the state of “attention” Is done. For example, when the respiratory rate of the previous day is 12 and the measured respiratory rate is 17 times / minute, it is considered that the subject's physical condition is abnormal, and is determined to correspond to “caution”. In addition, attention in the vital value is linked to the subject, recorded in the vital information database 15, and used for subsequent diagnosis.

  The “attention” regarding the respiration rate is recorded in the personal information database 13 and the vital information database 15. In addition, the display unit 12 of the information management unit 2 displays that the respiratory rate value is “Caution” along with the vital information of the subject and the result of the inquiry.

  In the determination of abnormal vital values based on the respiratory rate, 2) the determination based on the average value is the average value of the respiratory rate described above, that is, the value of the day when abnormality is observed in the item-specific health observation information and the respiratory rate of the previous day. The average value of the respiratory rate the day before the day on which the vital abnormality is determined, which is calculated from the respiratory rate values for the most recent 7 days excluding the value where the displacement from 5 times / min or more is used. Moreover, the upper side band width and the lower side band width, which are the previous day band widths of the respiratory rate the day before the day on which the subject's vital abnormality is determined, are also used.

  That is, whether or not the difference between the respiratory rate value measured on that day for determining vital value abnormality and the average respiratory rate on the previous day exceeds the upper or lower band width of the previous day band width. Determine abnormality.

  For example, the average value of the respiratory rate on the day before the day of judging the abnormality of the vital value is 16.3 times / minute, and the range of the upper bandwidth is 16.3 times / minute which is the average value of the previous day's respiratory rate. It is assumed that the lower band width is in the range of 3.7 and the lower band width is in the range of 4.3 from 16.3 times / min. Further, the measurement value of 16.3 times / minute on the day for judging abnormality of the vital value is 17 times / minute. In this case, the difference between the average breathing rate of the previous day and the measurement value of 17 times / minute on the day is “+0.7”, and this value is within the range between the average breathing rate of the previous day and the upper band width. There is something. That is, it is determined that the subject's breathing rate on the day for determining abnormality of the vital value is “health” that is not regarded as abnormal.

  On the other hand, in the example of the day for determining abnormality of the vital value, it is assumed that the value of the respiration rate measured on that day is “22 times / minute”. In this case, the difference between the average breathing rate on the previous day and the measurement value of 22 times / minute on the day is “+5.7”, which exceeds the range between the average breathing rate on the previous day and the upper band width. Is. In other words, the respiratory rate of the subject on that day is considered abnormal, and a message indicating that the blood glucose level is “warning” is displayed. That is, when it is regarded as abnormal in the judgment based on the average value of the respiratory rate and the bandwidth information of the subject that varies from day to day, it is judged not to be “caution” but to correspond to “warning”.

  Also, in the determination of abnormal vital values based on the respiratory rate, 2) the determination based on the average value is similar to the determination based on the body temperature in the value of the respiratory rate with which the bandwidth information of the subject is calculated. The timing at which no information is accumulated, that is, the reference at the stage before the bandwidth information is set can be set. Furthermore, it is possible to set a reference at a timing when there is no accumulation of information on the respiration rate value for calculating the average respiration rate of the subject, that is, before the respiration rate average value is set.

  In the above case, the basic configuration is the same as the determination based on body temperature, and the numerical value within the definitive bandwidth range is within 5 times / minute up and down or within 10 times / minute up and down based on the average value of respiratory rate It will be. It is determined that a value that is 5 times per minute or more corresponds to “caution” and a value that is 10 times per minute or more corresponds to a “warning”.

  Here, it is not necessarily limited to the content that is determined as “caution” at 5 or more and “warning” at 10 or more on the basis of the average value of respiration rate. The display of these numerical values and determination contents can be changed as appropriate.

  In addition, if there is no accumulation of information on the respiratory rate that can calculate the average value of the respiratory rate, the numerical value acquired as information on the subject in advance, such as the measured value of the respiratory rate at the time of the subject's health examination It can be set as a standard.

  Here, it is not necessarily limited to the content determined as “caution” at 5 or more and “warning” at 10 or more based on the measurement value of the respiratory rate at the time of the health check. The display of these numerical values and determination contents can be changed as appropriate.

  In judgment of vital value abnormality based on respiration rate, 3) judgment based on absolute value is when the measured value of the day on which vital value abnormality is judged is 24 times / minute or more or less than 12 times / minute It is determined that the subject is abnormal, and the state is “warning”. This absolute value of 24 times / min or more or less than 12 times / min is a value that can hardly be recorded in the normal human respiratory rate range and can be immediately judged as an abnormal physical condition. Value. In such a case, the third judgment criterion can be set to correspond to “warning”. In addition, the numerical value of an absolute value is not limited to this, It can change and set suitably.

  As described above, the abnormality of vital values based on the respiratory rate is determined based on three judgment grounds: 1) judgment based on sudden change, 2) judgment based on average value, and 3) judgment based on absolute value. Become. In addition, depending on the type of judgment grounds, the abnormal physical condition is displayed as “caution” or “warning”.

  In addition, the determination of abnormality of the vital value based on the respiratory rate is configured to display or notify that it is regarded as abnormal when any one of the above three determination grounds corresponds to “warning”. In addition, even when “Caution” is applicable, “Caution” is displayed in the respiratory rate item of the display unit 12 of the information management unit 2 if “warning” is not determined for other reasons. It has a configuration that only

(15) Vital value abnormality determination based on body weight Vital value abnormality determination based on body weight is often not performed on a regular basis, unlike other vital information. For example, weight measurement is often performed once a month. Therefore, the determination of abnormal vital values based on body weight is performed as follows.

  First, as information on the initial weight of the subject, the weight measured at the time of the health check is recorded in the personal information database 13 as initial weight information. Then, the weight measurement information once a month is recorded in the vital information database 15 together with the date information.

  Here, the determination of the abnormality of the vital value based on the body weight is performed based on the magnitude of the displacement of the body weight value. An anomaly based on the magnitude of the displacement is regarded as a “caution” if the displacement from the previous measurement value is 0.5 kg or more above and below, and a “warning” if the displacement is 1.0 kg or more above and below. . Note that the notification when it is determined as a caution or warning is the same as before.

  For example, when the subject first measures body weight using the vital abnormality determination unit 1, the measured value is determined based on the displacement from the value of the initial weight information. Further, regarding the measured values of the body weight thereafter, the abnormality of the vital value is determined based on the previously measured value of the body weight.

  Here, it is not necessarily limited to the content that is determined as “caution” when the displacement value from the measurement value of the previous day is 0.5 kg or more and determined as “warning” when the displacement value is 1.0 kg or more. The display of these numerical values and determination contents can be changed as appropriate. However, the displacement of 0.5 kg or 1.0 kg is a large value as the displacement value of the body weight, and is a numerical value that can be easily used as a standard for stepwise evaluation, and is therefore adopted as a determination standard.

(16) Vital value abnormality determination based on urine volume Vital value abnormality determination based on urine volume is performed based on the measured urine volume (mL / kg / hour) value and the set absolute value. Usually, the amount of urine in a healthy state is 0.5 to 1.0 mL / kg / hour.

  Here, when the urine volume is less than 0.5 mL / kg / hour, it is determined that the state is abnormal, and the state corresponding to the “warning” is recorded or notified. In addition, it is determined that there is an abnormality even in an urine-free state in which no urine is discharged, and recording or notification is made as a state corresponding to “warning”.

(17) Determination of vital value abnormality based on consciousness state In the determination of vital value abnormality based on consciousness state, determination is made by observing a subject such as a caregiver. For example, the determination is made by observing the state of eye opening, the state of the language when talking, the action of responding to the call, the action of responding to pain, and the like. On the other hand, when an abnormality is recognized, the determiner inputs and records the abnormality in the vital information database 15. As a result, it is assumed that the consciousness state is recorded or notified as a state corresponding to “warning”.

  Next, another configuration in the manner of notifying abnormality in the vital abnormality determining unit will be described.

  In the above-described contents, the abnormality is determined based on the display contents such as caution and warning based on the numerical values of various vital information. However, the determination is not necessarily made based on one type of vital information.

  For example, a combination of body temperature information and other vital information among vital information, and a mechanism that issues a “warning” that prompts a doctor to check when at least two vital information are determined to be abnormal can be considered. Examples are combinations of body temperature and oxygen saturation, body temperature and pulse, body temperature and pulse pressure, body temperature and blood pressure, body temperature and blood sugar level, body temperature and respiration rate, body temperature and body weight.

  The body temperature is not only easily measured, but is also an index that clearly shows changes in the daily physical condition of the subject, and it is possible to determine abnormalities in physical condition by accurately and appropriately grasping the body temperature. For this reason, it is possible to determine abnormalities of vital values with higher accuracy by performing determination by combining other vital information based on body temperature information among vital information. Moreover, since it is a combination of at least two pieces of vital information, the determination may be made by combining a plurality of types of vital information.

  In addition, the following contents can be adopted as a method of issuing “caution” or “warning” when an abnormality is determined.

  For example, the determination of abnormal vital values based on the weight of vital information has been described, but since the weight is basically measured once a month, the magnitude of displacement is smaller than other vital information that is measured daily. When it is large, it is necessary to raise the alert level. As an example, when the displacement from the previous measurement is 1.5 kg or more, there may be a mode in which notifying “warning” but also reporting “abnormality required” on the upper level, such as “diagnosis required”.

  It is also possible to identify the type of vital information to be particularly watched based on basic health information such as the current medical history and past medical history of the subject. If a warning is issued for the specified vital information, the alert level is raised and the value of the other vital information is set to “Caution” even if the result of other vital information is “Caution”. A mode of promoting

  For example, when the oxygen saturation is specified as vital information to be watched, it is determined as “warning” in the measurement of the vital value, and the other vital information is “caution”. In that case, in the display of other vital information, display that the subject may have a health risk than usual, or change the display such as “Caution” to “Needs attention”. It is also possible to make a setting.

  Alternatively, the alert level may be increased when the number of “cautions” in a plurality of vital information exceeds a certain number. For example, even if there is no “Warning” in the determination of multiple vital information, if the number of “Caution” is 3 or more, the subject may be at a health risk than usual. May be set to display that there is a possibility, or to change the display such as “Caution” needs to be noted. Furthermore, there is no “warning” in the judgment for each vital information, but “warning” due to the large number of attentions is displayed or notified as a judgment of abnormality of the vital value by integrating the measured values of the vital information of the subject. It is good also as a structure.

  As described above, in the determination of the vital abnormality determination unit constituting the present invention, not only the determination of one type of vital information but also the configuration in which multiple vital information is combined and evaluated or the determination of abnormality is further subdivided. A configuration for displaying and notifying the converted determination is conceivable. As a result, it is possible to determine the abnormality of the vital value with higher accuracy and to improve the usability of the apparatus.

  Moreover, the vital abnormality determination part which comprises this invention can classify | categorize and display based on the health state of the determination result about a some subject. For example, according to the determination result of the day, it is possible to divide the group into a group with a warning, a group with a caution, and a group with a healthy state without a warning and a caution, and sort in descending order of risk. In that case, it is also possible to sort by prioritizing according to the number of warnings and cautions and the type of vital information. By setting it as such a content, even if it is a large number of people, a person with a high health risk can be confirmed easily.

[A specific series of diseases]
Hereinafter, a specific series of diseases using the disease diagnosis device 39, which is an example of a disease diagnosis device to which the present invention is applied, will be described. The content described below uses the configuration of the present invention described above.

  First, the personal information of the subject person is input to the personal information database 13 of the disease diagnosis apparatus 39 including the name, age, etc. of the subject person. At this time, in the personal information database 13, as health basic information 43, information on the result of the medical examination received by the subject, information on basic diseases, past history, smoking history, medication history, lifestyle information, Information on the presence or absence of subjective symptoms and objective symptoms is also input.

  When the information of the subject is recorded, the pathological caution level processing unit 101 sets the caution level for each pathological condition based on the history, disease, blood test, and lifestyle information that are the contents of the basic health information 43. Regarding a disease state in which the alert level is recorded as “high”, the presence / absence of “attention” in vital information related to pathological factors related to the disease state and “abnormality” in health observation information are checked.

  Various vital information of the subject is measured by the vital measuring unit 2 and recorded in the vital information database 15. Of the recorded vital information, body temperature, oxygen saturation, blood pressure, pulse rate and respiratory rate are automatically transmitted to the vital information database 15 after measurement. In addition, for the subject who has been instructed by the doctor, the urine volume, blood glucose level, and consciousness level are further input and recorded.

  In addition, information on the results of interviews and observations on the subject and information on the results of care records are input to the health observation information database 16.

  The input vital information is checked by the vital abnormality determination unit 1 and determined as “normal”, “caution”, and “warning” and recorded. In addition, regarding the health observation information 16, the target person's observer confirms the results of the interview, observation, and care record, determines “normal” or “abnormal”, and inputs it as item-specific health observation determination information. Recorded.

Based on the acquisition of the above-mentioned daily vital information and health observation information and the contents of the basic health information, the disease determination unit 42 determines that the subject satisfies a predetermined condition when the following conditions are satisfied. Then, after classifying the subject into three candidate disease state groups based on the vital information of the subject, an analysis is started along the disease analysis flow information for the elderly.
(1) When an abnormal value that is judged as “warning” is confirmed in the vital information.
(2) When an abnormal value for which a “careful” determination exceeding a certain number is confirmed among a plurality of vital information.
(3) When an abnormal value for which “Caution” is determined is confirmed in a predetermined combination of vital information.
(4) When a numerical value calculated by combining a plurality of vital information satisfies a predetermined condition.
(5) When “abnormal” determination is recorded in the health observation determination information by item.
(6) When “Caution” of vital information of a disease confirmation item whose warning level is set to “High” or “Abnormal” of health observation information is recorded based on basic health information.

  When analysis according to the disease analysis flow information for the elderly is started, the disease determination unit 42 narrows down the analysis target with the following contents for a plurality of diseases to be determined.

(1) Based on past medical history information or lifestyle information in the basic health information of the subject, narrow down to a disease that the subject is likely to suffer from among a plurality of diseases.
(2) From the combination of the content determined as “Caution” or “Warning” in the vital information and the content of the health observation information used as the basis for the abnormality determined in the item-specific health observation determination information, Narrow down to diseases that the subject is likely to have.
(3) The contents of vital information determined as “caution” or “warning” are narrowed down to diseases satisfying the conditions of the contents of the confirmation item.
(4) Narrow down the contents of the health observation information, which is the basis for the abnormality determined in the item-specific health observation determination information, to diseases that satisfy the conditions of the content of the confirmation item.

  The disease determination unit 42 narrows down the analysis target based on the above contents, and performs analysis according to the disease analysis flow information for elderly people for all of the corresponding diseases.

  Next, a specific example of analysis along the disease analysis flow information for elderly people will be described.

  As shown in FIG. 4, the disease diagnosis apparatus 39 performs pathological diagnosis based on vital information 69 of the subject and health observation information 70 such as an inquiry result. Also, the basic health information 43 is referred to when setting a warning level for a specific disease.

[Example of diagnosis of pneumonia]
Below, the flow of diagnosing pneumonia in the elderly using the disease diagnosis device 39 will be described. Here, based on the abnormality of vital information about the subject, the information about the subject satisfies the predetermined condition, and the analysis based on the disease analysis flow information about pneumonia is performed.
FIG. 5 is a schematic diagram illustrating a flow of diagnosis of pneumonia based on disease analysis flow information.

  In this example, first, the malignant tumor factor (I) 58 and the elderly factor (male 75 years and older) (A) 59 are recorded in the basic health information 43 of the subject. In this situation, the alert level of “pneumonia”, which is a disease related to the two factors, is set to “high”. Moreover, the analysis based on the disease analysis flow information of pneumonia is started by recording “caution” of vital information of the confirmation item of pneumonia and “abnormal” of health observation information.

  In the disease analysis flow information of pneumonia, confirmation of confirmation items of the disease analysis flow information by the disease determination unit 42 proceeds based on the vital value abnormality of “subject weight is reduced by 2 kg 60”. In step 1, a confirmation item is set as to which of “undernutrition and dehydration 71” is the cause of weight loss. In addition, a confirmation item “Is the inoculum calorie normal?” Is set for this confirmation item to confirm whether it is “undernutrition” or not. The disease determination unit 42 confirms this point from the “meal amount” information in the care record 46 recorded in the health observation information database 16. If the observer has set “normal” for the item of “meal amount” in the care record 46, the “inoculation calorie is normal 62”, and “possibility of dehydration 72” is suspected as a cause of weight loss. Proceed to the confirmation item.

  In the above-described contents, the confirmation item is confirmed based on the information already recorded in the care record 46, but this point may be configured to be confirmed by the subject as specific inquiry information. Moreover, when the information for determination of a confirmation item is insufficient, the structure which displays on the display part 12 the message to require | require required information as specific inquiry information may be sufficient. Similarly, in the following contents, the health observation information and the specific inquiry information are mutually usable.

  The disease determination unit 42 further proceeds with confirmation of confirmation items for pneumonia. In the above description, since “possibility of dehydration 72” is suspected, in order to clarify this point, analysis is performed according to the flow shown in step 2 or step 3 of FIG.

  In step 2, “inflammation presence / absence 74” is set as a confirmation item. The presence or absence of this inflammation is determined from the body temperature information of the subject. The disease determination unit 42 confirms this point with the vital value of the body temperature recorded in the vital information database 15. Based on the subject's previous day's normal temperature, the difference between the body temperature value of the day and the previous day's normal temperature exceeds the upper limit of the previous day's band width, and the vital abnormality determination unit issues a `` warning '', or from the body temperature of the previous day Is increased by 0.5 ° C. or more, and the vital abnormality determination unit has issued “caution” or “warning”, the disease determination unit 42 determines that there is “an increase in body temperature 73”. Then, it is determined that there is inflammation in the confirmation item “existence of inflammation 74”, and the process proceeds to the next confirmation item. The determination of the increase in body temperature here is unlikely to occur in reality, but it may be determined that there is an increase in body temperature when an absolute value exceeding 40 ° C. is recorded.

  In step 2, the confirmation item “76 which is fever and is not sweating” is set. Whether or not the person is sweating is determined from information on the answer of the subject to the specific inquiry information regarding pneumonia. When the disease determination unit 42 confirms the information “75 not sweating” in the answer to the specific inquiry information, the disease determination unit 42 determines that the condition of the confirmation item “76 fever and not sweating” is satisfied. Then, it is determined that “the possibility of dehydration is high 77”, and the analysis is further performed assuming that the subject includes “dehydration factor (D) 61”.

  Further, in the analysis of pneumonia, the analysis flow may proceed according to the contents of step 3 separately from the analysis flow in the direction of step 2.

  In step 3, “possibility that circulating blood volume is reduced 79” is set as a confirmation item. Whether there is a decrease in the circulating blood volume is determined from information on the subject's pulse pressure (blood pressure difference). The disease determination unit 42 confirms this point with the vital value of the subject's pulse pressure. Based on the subject's previous day's pulse pressure average value, the difference between that day's pulse pressure value and the previous day's pulse pressure average value falls below the lower limit of the previous day's band width range, and the vital abnormality determination unit issues a `` warning ''. Or, if the displacement from the pulse pressure of the previous day is 10 or more on the lower side and the vital abnormality determination unit has issued a “caution” or “warning”, the disease determination unit 42 “decreases blood circulation 78” Judge that there is. Then, it is determined that there is a possibility in the confirmation item “Possibility of decreased circulating blood volume 79”, and the process proceeds to the next confirmation item.

  In step 3, “decrease in blood pressure 81 due to dehydration” is set as a confirmation item. Whether there is a decrease in blood pressure due to dehydration is determined from information 80 on the subject's maximum blood pressure (or minimum blood pressure). The disease determination unit 42 confirms this point with the vital value of the subject's systolic blood pressure. Based on the subject's previous day's highest blood pressure average value, the difference between that day's highest blood pressure value and the previous day's highest blood pressure average value falls below the lower limit of the previous day's band width range, and the vital abnormality determination unit issues a `` warning ''. Or, if the displacement from the highest blood pressure on the previous day is 20 or more on the lower side and the vital abnormality determination unit has issued “caution” or “warning”, the disease determination unit 42 may indicate “decrease in blood pressure 81 due to dehydration”. Judge that there is. Then, it is determined that “the possibility of dehydration is high 82”, and the analysis is further performed assuming that the subject includes “dehydration factor (D) 61”.

  As described above, “dehydration factor (D) 61”, which is a pneumonia confirmation item, is further analyzed if the analysis proceeds in either step 2 or step 3 and the condition is satisfied. On the other hand, when the result of not satisfying the condition of the confirmation item in both steps, the disease that is pneumonia cannot be specified, and the result of pneumonia is not displayed. It should be noted that a configuration in which it is determined that “dehydration factor (D) 61” is present only when the analysis flows of both step 2 and step 3 have advanced according to the setting can also be adopted.

  Subsequently, the disease determination unit 42 further advances the analysis to “check 83 for each item regarding the possibility of pneumonia”. As the “check 83 for each item regarding the possibility of pneumonia”, the confirmation items shown in step 4 and step 5 are confirmed.

  In step 4, “the conscious level response is bad 85” is set as the confirmation item. Whether the response of the consciousness level is good or bad is confirmed from the “consciousness level” information in the care record 46 of the subject. If the observer sets “abnormality (bad response) 84” for the item “consciousness level” in the care record 46, it is determined that “consciousness level response is bad 85”. And it determines with having the "factor (O) 63 of the consciousness level fall" as a confirmation item.

  In step 5, “absence / absence of abnormality in oxygen concentration 87” is set as a confirmation item. The presence or absence of abnormality in this oxygen concentration is determined from information on the oxygen saturation of the subject. The disease determination unit 42 confirms this point with the vital value of the oxygen saturation of the subject. When the deviation from the oxygen saturation level of the subject on the previous day is 2% or more and the vital abnormality determination unit gives “caution” or “warning”, the disease determination unit 42 has “abnormality in oxygen concentration 86” Is determined. And it determines with having the "factor (R) 64 of oxygen concentration abnormality" as a confirmation item.

  In the flow so far, the subject of the present example has satisfied the condition of the content of the last confirmation item in step 4 and step 5, and thus has reached the end by the analysis according to the disease analysis flow information of pneumonia. . As a result, the disease determination unit 42 finally determines that the subject is “pneumonia” and displays the result on the display unit 12.

  The result of pneumonia is recorded in the personal information database 15. Furthermore, the information is displayed on the subject's thermal chart.

  In addition, the user of the disease diagnosis device 39 can obtain more detailed information regarding pneumonia using the disease information dictionary database 56. In addition, the results of pneumonia can be tested.

  The disease diagnosis device 39 basically has a configuration in which it is determined that the disease is caused by the end of the analysis along the disease analysis flow information for elderly people. However, in “pneumonia”, unlike other diseases, information on pathological factors necessary to identify the disease is maintained, so not only analysis along the disease analysis flow information for elderly people, A configuration for identifying a disease can be adopted.

  More specifically, a configuration that identifies pneumonia as long as a certain number of pathological factors are satisfied may be employed. In the content of pneumonia described above, for example, the malignant tumor factor (I) 58 and the elderly factor (male 75 years and older) (A) 59 are recorded in the basic health information 43 of the subject, and already have two factors. Suppose that And if the analysis according to the disease analysis flow information for the elderly shows that the part also has the dehydration factor (D) 61, it means that three of the pathological factors of pneumonia have been prepared. Thus, it can be determined that the disease determination unit 42 has pneumonia.

[Severity classification]
Furthermore, for pneumonia, severity determination information is included in the diagnosis target pathological information 51, and it is possible not only to identify a disease but also to classify its severity. Regarding the classification of the severity of pneumonia, the disease determination unit 42 checks whether or not the basic health information such as vital information and inquiry information of the subject matches each item for classification of the severity.

The following items are used to classify the severity of pneumonia.
(1) As a background, the target person is a resident of a facility where the subject is able to receive medical care and nursing care when the age is above a certain level (male 70 years or older or female 75 years or older).
(2) As complications, malignant tumor, liver disease, congestive neodysemia, cerebrovascular disorder or kidney disease.
(3) As physical findings, change in consciousness level, respiratory rate is 30 / min or more, systolic blood pressure is less than 90 mmHg, body temperature is less than 35 ° C. or 40 ° C. or more, pulse rate is 125 / More than a minute.

  Check the above items from the basic information of health, such as vital information, interview information, etc. of the subject, and information on the results of the interview to confirm the items of severity classification. The severity is indicated by the level of “severity” and the level of risk, or the display of the contents to be dealt with, such as “outpatient” and “outpatient”.

  As described above, the disease diagnosis apparatus can determine the pathological factor related to vital abnormality and the presence or absence of the disease related to the pathological factor by detecting the abnormality of vital information.

[Examples of diagnosis of heart failure]
Below, the flow of diagnosing heart failure in the elderly using the disease diagnosis device 39 will be described. Here, based on the abnormality of vital information about the subject, the information about the subject satisfies the predetermined condition, and the analysis based on the disease analysis flow information about heart failure is performed.
FIG. 6 is a schematic diagram showing a flow of diagnosis of heart failure based on disease analysis flow information.

  In this example, first, the factor 65 of sequelae of heart failure is recorded in the basic health information 43 of the subject. This situation sets the alert level of “heart failure”, a disease associated with this factor, to “high”. Moreover, the analysis based on the disease analysis flow information of heart failure is started by recording “attention” of vital information as a confirmation item of heart failure and “abnormality” of health observation information.

  In the disease analysis flow information of heart failure, confirmation of the confirmation items of the disease analysis flow information by the disease determination unit 42 proceeds based on the vital value abnormality of the subject “weight gain 2 kg 66”. In step 1, a confirmation item is set as to which of “meal intake and water content 89” is the cause of weight gain. In addition, in order to confirm whether or not “meal intake” is a factor for this confirmation item, a confirmation item “Is inoculation calorie normal?” Is set. The disease determination unit 42 confirms this point from the “meal amount” information in the care record 46 recorded in the health observation information database 16. When the observer has set “normal” for the item of “meal amount” in the care record 46, it is determined that “inoculated calorie is normal 88”, and there is a possibility of “weight increase due to the amount of water” as a factor of weight increase. judge. Then, “is heart failure? 90” is set as a further confirmation item.

  The disease determination unit 42 further proceeds to confirm confirmation items for heart failure. Next, analysis is performed according to the flow shown in step 2 or step 3 of FIG.

  In step 2, “swelling presence / absence 92” is set as a confirmation item. The presence or absence of this swelling is confirmed from the observation information 45 of the subject or the “swelling” information in the care record 46. If the observer is “abnormal (with swelling)” regarding the item of “swelling” in the observation information 45 or the care record 46, it is determined as “with swelling 91”. Then, the process proceeds to the next confirmation item.

  Next, in step 2, the possibility of pulmonary edema occurring as a cause of swelling is suspected, and a confirmation item is set as to which of “pulmonary edema is inflammation or heart failure 93” is the cause of pulmonary edema. In addition, in order to confirm whether or not “inflammation” has occurred for this confirmation item, a confirmation item “Is there an abnormality in body temperature rise?” Is set. The disease determination unit 42 confirms this point with the vital value of the body temperature. The difference between the body temperature of the day and the previous day's normal heat is included in the range of the previous day's body temperature, or the displacement on the high temperature side from the previous day's body temperature is within 0.5 ° C, based on the subject's previous day's normal temperature (Or displacement to the low temperature side), the disease determination unit 42 determines that “there is no abnormality in body temperature increase 94”. As a result of this determination, it is determined that the pulmonary edema is provided with “Factor 67 of heart failure” as “95 that inflammation is not a factor and is likely caused by heart failure 95”.

  Further, in the analysis of heart failure, the analysis flow may proceed with the contents of step 3 separately from the analysis flow in the direction of step 2.

  In Step 3, “Possibility that circulating blood volume is reduced 97” is set as a confirmation item. Whether there is a decrease in the circulating blood volume is determined from information on the blood pressure or pulse pressure (blood pressure difference) of the subject. The disease determination unit 42 confirms this point with the vital value of the subject's blood pressure or pulse pressure. The difference between the highest blood pressure (or pulse pressure) value for the day and the highest blood pressure (or pulse pressure) value for the previous day is the range of the previous day's width, based on the average blood pressure (or pulse pressure) value for the previous day. When the vital abnormality determination unit gives a "warning" or falls below the maximum blood pressure on the previous day and the vital abnormality determination unit has issued a "caution" or "warning". In addition, the disease determination unit 42 determines that there is a “blood pressure (or pulse pressure) decrease 96”. Then, it is determined that there is a possibility in the confirmation item “Possibility of decrease in circulating blood volume 97” and the process proceeds to the next confirmation item.

  Next, in step 3, “possibility of cardiac function decrease 100” is set as a confirmation item. The possibility of a decrease in the function of the heart is determined from the information 98 on the subject's oxygen saturation. The disease determination unit 42 confirms this point with the vital value of the oxygen saturation of the subject. When the displacement of the subject from the previous day's oxygen saturation is reduced by 2% or more and the vital abnormality determination unit has issued a “caution” or “warning”, the disease determination unit 42 has received “a decrease in oxygen saturation 99”. Judge that there is. Then, as a result of this determination, it is determined that “the heart failure factor 67” is provided as “the possibility of a decrease in cardiac function 100”.

  In the flow so far, the subject in this example has satisfied the conditions of the contents of the last confirmation item in step 2 and step 3, and thus has reached the end in the analysis according to the disease analysis flow information of pneumonia. . As a result, the disease determination unit 42 finally determines that the subject has “heart failure”, and displays the result on the display unit 12.

  The result of heart failure is recorded in the personal information database 15. Furthermore, the information is displayed on the subject's thermal chart.

  Further, the user of the disease diagnosis apparatus 39 can obtain more detailed information regarding heart failure using the disease information dictionary database 56. In addition, heart failure results can be tested.

[Prediction of disease from candidate disease groups]
The following is a usage example of a further variation that is considered to be used in the disease diagnosis apparatus 39 of the present invention, and is an example in which the subject is presented with a possibility of having a bacterial infection.

In the measurement of the vital value, the subject showed the vital value abnormality by the vital abnormality determination unit 1 as follows.
(1) The vital value of the highest blood pressure and the lowest blood pressure was 140/80 mmHg, whereas the measured vital value was 110/50 mmHg.
(2) The vital value of the pulse was 60 / min, whereas the measured vital value was 100 / min.
(3) The vital value of body temperature was 36.6 ° C, while the measured vital value was 37.6 ° C.

  Further, it is assumed that the subject is recorded as “not healthy” as a result of the inquiry information 44 recorded in the health observation information database 16, and “decreased appetite” is recorded as a result of the observation information 45.

  As described above, the subject was determined to have abnormal vital values in blood pressure, pulse, and body temperature, and abnormalities were confirmed in the interview results and observation results. Is not judged.

The disease determination unit 42 then extracts the following formula 1 for presenting the possibility of bacterial infection from the keywords of pulse and body temperature, and confirms the numerical values.
Δ heart rate (current heart rate-vital value average of heart rate) / Δ body temperature (current body temperature-vital value average of body temperature) (Equation 1)

  And when the numerical value calculated in said Formula 1 is larger than 20, since the possibility of a bacterial infection is suspected, a subject displays "There is a possibility of a bacterial infection." Further, the result is displayed on the display unit 12 and recorded in the personal information database 13.

  The following is a case where the subject presents the possibility of having a pathology based on catecholamine release.

  In the measurement of vital values, the subject has a pulse pressure that is 50% or more of systolic blood pressure (maximum blood pressure), indicates abnormal vital value of pulse pressure, and urine volume is less than 0.5 mL / kg / hour And shows the result of oliguria.

  At this time, it is assumed that the disease determination unit 42 starts determining respiratory failure, heart failure, hypoglycemia, and fever, which are pathological conditions based on catecholamine release, but cannot determine that the disease is a specific disease. Although not determined, the disease determination unit 42 presents that there is a possibility of respiratory failure, heart failure, hypoglycemia, and fever based on catecholamine release.

  Moreover, it becomes possible to predict a candidate pathological condition among pathological conditions based on catecholamine release by activating the pathological condition discrimination flowchart database 49 and interrogating the subject along the medical condition confirmation inquiry.

  Further, with respect to respiratory failure, heart failure, hypoglycemia, and fever based on catecholamine release, more detailed information can be obtained using the disease information dictionary database 56.

[Diagnosis of medical condition]
The following are examples of cases in which abnormalities in vital values have been confirmed, although there are no abnormalities in interviews, observations, or care records.

  The basic health information 43 of the subject includes a record of cerebral infarction in the past history. Moreover, in the blood pressure of vital value, the measured vital value was 180/110 mmHG, and the vital value was abnormal. On the other hand, it is assumed that there is no abnormality in the inquiry result and the observation result, and it is not determined that the disease is a specific disease.

  In such a case, the disease determination unit 42 presents the possibility that a small cerebral infarction may occur as a symptom diagnosis of the subject because there is a risk of a small cerebral infarction such as a lacunar infarction.

  In the following case, the basic health condition information 43 of the subject records the basic disease of chronic obstructive pulmonary disease (emphysema). Moreover, in the body temperature of vital value, the measured vital value was 37.8 degreeC, and the abnormality of vital value was shown. On the other hand, it is assumed that there is no abnormality in the inquiry result and the observation result, and it is not determined that the disease is a specific disease.

  In such a case, the disease determination unit 42 presents that there is a risk of exacerbation of chronic respiratory failure and pneumonia as a symptom diagnosis of the subject because there is a risk of exacerbation of chronic respiratory failure and development of pneumonia. .

  In addition, it is possible to predict candidate pathological conditions by activating the pathological condition discrimination flowchart database 49 for the elderly and interrogating the subject person along the medical condition confirmation inquiry.

  In addition, more detailed information can be obtained for the above-mentioned possible diseases using the disease information dictionary database 56.

  The following is an example of a case in which the subject is complaining of a malfunction in an interview or the like, although no abnormal vital value is observed.

  For example, when there is no abnormality in the vital value, but the patient complains that “the chest hurts” in the interview, the pathological condition discrimination flowchart database 49 for the elderly is activated, and the subject is confirmed along the medical condition confirmation interview. By conducting an interview, it becomes possible to predict candidate pathological conditions.

  In the above case, as the prescribed interview, “Yes” for the question “Is there an abnormality?”, “Heart” for the question “Where is abnormal?”, “What is the symptom?” "It hurts." When the pathological diagnosis flowchart database 49 is activated and the inquiry is advanced, it is possible to present pathological conditions such as heart disease (myocardial infarction, aortic dissection), lung disease (pulmonary embolism, pneumothorax), fire extinguisher disease (gastric ulcer), etc. It becomes. Further, more detailed information can be obtained about these pathological conditions using the disease information dictionary database 56.

  Hereinafter, further utilization examples of the contents of the disease diagnosis apparatus to which the present invention is applied will be described.

  The disease diagnosis apparatus to which the present invention is applied may be configured to be linked with an electronic medical record introduced into a hospital. Since the electronic medical record records the information of the patient at the hospital where it was installed, it is linked with the information managed by the information management unit 3 described above, so that the subject's detailed status of the underlying disease, past medical history, Medication records, follow-up information, etc. can be used.

  Furthermore, since it is possible to check information on the progress of diagnosis by a doctor, the diagnostic accuracy is improved and the usability as a diagnosis support tool is improved. In addition, by adding and recording the diagnosis results and examination results in the hospital to the information of the subject person, the amount of personal information increases, leading to more accurate determination and detection of vital abnormalities. In addition, it is more useful as a diagnosis support tool.

  Further, a mode in which a disease diagnosis apparatus to which the present invention is applied and a remote image diagnosis system are combined is also conceivable. For example, it is also possible to connect a device capable of acquiring image information such as a camera to the disease diagnosis apparatus and transmit the image information of the subject to the hospital side for remote diagnosis. In addition, at that time, by sending information on the thermal type table of the subject to the terminal on the hospital side, etc., it is possible for a doctor to make a diagnosis from a remote location while checking the vital value of the subject, etc. Become.

  In addition, the disease diagnosis apparatus to which the present invention is applied may have a plurality of operation version variations according to the level of the user. For example, if it is an aspect linked to the electronic medical record as described above, it becomes a diagnosis support tool at the time of diagnosis by a doctor in a hospital. Here, the information managed by the diagnostic apparatus contributes to raising the diagnosis level of the doctor because information of daily diagnosis at the hospital is accumulated.

  In addition, by giving a specific nurse a tablet terminal or the like having the function of this apparatus in a hospital, the nurse can make a diagnosis instead of a doctor. Furthermore, it will be useful when a nurse with a tablet terminal visits an elderly person who is at home or in a facility.

  Moreover, about the thing which staff members, such as a care facility, use, it becomes possible to improve the diagnostic level with respect to a specific object person by accumulating the information specialized for the resident.

[Educational software for doctors and nurses]
Moreover, the disease diagnosis apparatus of the present invention can also be used as an educational tool for medical staff. The vital information, health observation information, and basic health information of the actual subject and the presence or absence of the disease state of the subject are recorded. Moreover, it has a pathological condition discrimination flowchart database and a disease information dictionary database. Therefore, it is possible to create educational software that combines questions and answers based on this information. It is also possible to record the scores of a plurality of medical workers who use the educational software, rank them, and create an evaluation table for doctors and nurses.

  Furthermore, since the construction of a large-scale medical database is progressing in the future in the future, a mode in which medical big data accumulated in this database and a disease diagnosis apparatus to which the present invention is applied can be considered. In medical big data, not only is the amount of information huge, but the analysis of recorded information also clarifies information on the symptoms and pathological factors of specific diseases, so the range of diseases to be diagnosed is widened. In addition, a significant improvement in diagnostic accuracy can be expected.

[Reference tools for nurses to prescribe drugs]
It can also be used as a reference tool when nurses prescribe medicines. For example, information on the subject's medication history is recorded in the subject's personal information database. As a result, data on “what kind of medicine was prescribed for what kind of symptom” is accumulated and can be used as reference information by the pharmacist when taking the medicine. Also, depending on the type of medicine, it can also be used for taking medicine without a pharmacist. The confirmation work of the medication history by the pharmacist can be easily performed.

[Medication management and delivery service]
Furthermore, by recording the medication history information in conjunction with the delivery service, it is possible to automatically deliver medicines that the subject needs regularly to the hand at the necessary time.

[Links with health checkup data at work and school]
The disease diagnosis apparatus of the present invention may be used by recording and utilizing information on periodic health examinations at work or school. At this time, since the acquisition period of vital information, health observation information, and the like is vacant, determination of caution, warning, or abnormality is set as appropriate. This is useful for the health management of the subject. In addition, it becomes a means for acquiring a large amount of clinical data. Furthermore, by linking with information on health examinations conducted by public institutions, comprehensive health management of the subject becomes possible.

[Local health management in remote areas]
The disease diagnosis apparatus of the present invention can also be used for local health management in a remote place. For example, the disease diagnosis apparatus of the present invention is installed in a country on a business trip abroad, a ship that has gone out to the far-sea fishery, an overseas dispatch destination of the Self-Defense Forces, or the like. As a result, it is possible to manage the health of the target person even in a country with a low medical level or in a place where there is no medical equipment. Moreover, a diagnosis by a doctor can also be performed by combining with the remote diagnosis as described above.

[Confirmation of disease occurrence by region]
The disease diagnosis apparatus according to the present invention can contribute to preventive medical treatment of regional medicine by linking with information on the disease occurrence status by region. For example, by linking with information on the influenza epidemic, it can be linked to preventive measures in areas where disease diagnosis devices are used. In addition, information on subjects in endemic areas can be used as clinical data.

[Air environment detection]
Furthermore, the air environment detection mechanism and the disease diagnosis apparatus of the present invention can be combined. The air environment detection mechanism can detect the concentration of formaldehyde and PM2.5, determine the air pollution level in the area from the concentration, and urge the user of the device to be alerted. In conjunction with administrative services, it can also be used as an information acquisition tool for alerting residents in the target area and improving the environment.

[Nursing care software and nursing care request software]
The disease diagnosis apparatus to which the present invention is applied can be configured to be linked with care record software or care request software. Data of “what kind of care is appropriate for what kind of symptom” is accumulated by managing the information of the care record input to the care record software by the information management unit. Thereby, a uniform service can be provided to the care recipient regardless of the skill level of the caregiver. Still another aspect of the interlocking with the care record software will be described later.

  When linked with care request software, it can be used as a support tool for calculating care costs. This makes it possible to easily confirm the costs incurred for the provided nursing care contents, which can lead to improvement in work efficiency.

[Health care staff health check]
The disease diagnosis apparatus to which the present invention is applied can also be used for checking the health condition of a care worker on the caregiver side. Health care is performed by measuring the vital information of the caregivers themselves and sending them to the disease diagnosis device. This can lead to an improvement in the working environment at the nursing care site.

[Monitoring function]
In addition, when linked to a nursing care facility or a monitoring system for elderly people living alone, when a vital value abnormality is determined or when an abnormality is observed in the movement of the target person (for example, , Family, etc.) may be notified. For example, a human sensor is installed in a house so that when a resident does not move in a toilet for a certain period of time, an alert is automatically sent to a security company or family. In that case, it can also be set as the structure which transmits simultaneously the record of vital information of a monitoring object person, and health observation information by data.

[Diet, physical condition management]
The disease diagnosis apparatus to which the present invention is applied can also be used as an apparatus that supports a user's diet and physical condition management. For example, a configuration may be employed in which advice for weight loss is displayed based on vital information and information on calorie intake. It is also possible to partner with facilities such as training gyms to provide multiple weight loss programs.

[Utilization of wearable computer]
Moreover, a wearable computer can also be employed as part of the configuration of the disease diagnosis apparatus of the present invention. By receiving daily vital information in real time and accumulating the results of pathological analysis of the apparatus and diagnostic information of the doctor, it contributes to improvement of convenience and accuracy of the apparatus.

[Utilization of application software]
A configuration is also conceivable in which the function of the disease diagnosis apparatus of the present invention is provided as application software and can be used on a portable terminal or a tablet terminal. As a result, the functions of the present apparatus can be easily used, and convenience can be improved. Moreover, it contributes to the improvement of the penetration rate of this apparatus, and it can be connected to the acquisition of a wider range of clinical data.

[Shopping support software]
It is also conceivable to link the information recorded in the disease diagnosis apparatus of the present invention with a product sales website on the Internet or software that supports product purchase. By adding a function that recommends foods and health appliances according to the health condition of the user, reference information at the time of product purchase can be obtained.

[Animal health management]
It is also considered that the disease diagnosis apparatus of the present invention is used for animals. It can contribute not only to humans but also to the health management of pets and zoo animals and the protection of wild animals. Also,
Accumulating animal clinical data and diagnostic information will provide medically and academically useful information.

[Installation on the vehicle]
The aspect which installs the disease diagnostic apparatus of this invention in a vehicle is employable. For example, a vital measuring device (for example, a thermometer, a pulsometer, a respiratory rate sensor, etc.) is installed in the driver's seat, and if the driver's physical condition is suspected, alerting is urged. Moreover, it can also be set as the structure which checks a drunk driving in combination with an alcohol detector.

[Health check before boarding leisure equipment]
The disease diagnosis apparatus of the present invention can also be used for health check before getting on a playground equipment at a leisure facility. For example, depending on the type of playground equipment, there is a case where the passengers are uniformly “riding is prohibited for those 65 years and older”. However, there are actually many healthy people over the age of 65, and it is possible not only to draw by age, but to determine whether or not to get on after grasping the actual health condition.

[Immigration Control (Infectious Disease Control)]
The disease diagnosis apparatus of the present invention can be used for immigration control. For example, by installing this apparatus in a seat of a facility such as an airport or an airplane seat, the presence or absence of an infectious disease in a person sitting in the seat can be confirmed. As a result, the inflow of immigrants with infectious diseases can be prevented at the water's edge.

[Provision of information about hospitals and nursing homes]
The disease diagnosis apparatus of the present invention can be linked with information on hospitals and care facilities. The information on hospitals and care facilities is, for example, information such as the number of patients accepted for each disease state, the content and number of specialists, and the content of care performed at the facility. It is conceivable to provide a function of automatically discriminating a hospital and a care facility suitable for the disease state of the user of the disease diagnosis apparatus and a function of ranking hospitals suitable for each disease state.

  In the following, the linkage between the disease diagnosis apparatus of the present invention and the care record software will be described.

  First of all, since the nursing staff is currently busy with the work at the site, it is difficult to describe the nursing records during the work. Therefore, care records are often created while the care staff returns to office work such as an office and remembers the work and situation. In addition, the contents to be described are diverse in every hour and are complicated.

  At the time of creating this care record, the care staff relies on the memory of several hours ago to create the contents, so there are cases where omissions or mistakes occur. In addition, it takes tens of minutes to over an hour to create a care record, which causes overtime work for care staff.

  In a care facility, it is common for a plurality of care staff to work alternately. Further, there is a case in which a care staff record is recorded by another care staff and newly created by another care staff regarding the records of care contents for the same care recipient.

  As a result of this work, a great deal of time is used to create care records. In addition, since care records cannot be grasped unless a plurality of care records are confirmed, the information sharing method is very inefficient.

  Therefore, in order to improve the efficiency of creating care records and facilitate the sharing of information on care records, the following configuration should be adopted for the management and input of care records of the disease diagnosis apparatus to which the present invention is applied. Can be considered.

  First, it is assumed that the information input of the care record can be input by a touch panel to the screen, not the description on the paper medium or the keyboard input to the personal computer terminal. As a result, care records can be easily created even by care staff who are not good at keyboard input work. In this case, the tablet terminal etc. which can input the existing touch panel can be employ | adopted and comprised.

  In the field of nursing care business, there is a current situation where IT (information technology) utilization is delayed, and it has been pointed out that there are many nursing staff who are not good at operating personal computer terminals. Therefore, it is important that the operation of the apparatus is easy, and the work efficiency can be improved by visually simplifying the configuration by using a touch panel function and replacing buttons with icons.

  Moreover, it is possible to consolidate the locations where information is recorded by performing input of care records at a terminal linked to the disease diagnosis apparatus. In addition, there is no need to change care diaries and care records, and data entered once can be used to create and confirm records. Thereby, a human error can be suppressed.

  Moreover, it is set as the structure which manages the data of a care record and the data of the care recipient (namely, the subject of pathological diagnosis) separately. In other words, the information related to the care record used by the care staff is managed separately from the vital information, health observation information, and basic health information data recorded in the personal information database of the care recipient as described above. . Further, both management data are managed as digital data so that the mutual data can be displayed simultaneously on a terminal linked with the disease diagnosis apparatus. For example, for vital data of a care recipient “weight gain”, care record data such as water intake, calorie intake, and defecation can be immediately displayed for grasping the situation.

  The measurement result of the vital information of the care recipient by the care staff is automatically transmitted to a terminal linked to the disease diagnosis apparatus, and the result is automatically input. Thereby, work efficiency increases and an input mistake can be suppressed. For example, a health management terminal that manages vital data that is commercially available for electronic medical records can be utilized so that data can be automatically input and automatically reflected in each recording table with a single button.

  In addition, care record data and care recipient data are made into a database of digital data so that spreadsheet software and thermal tables can be easily graphed.

  The care record data and the care recipient data are encrypted so that information can be transmitted over the Internet. This makes it possible to easily share information with a medical institution when a disease diagnosis apparatus is installed in a care facility or the like.

  Further, for example, with the above-described configuration, clinical data can be acquired at a care facility or a hospital, and the information can be easily transmitted to an organization that performs information analysis such as a university. This contributes to a system for verifying the effectiveness and effectiveness of data managed by the disease diagnosis apparatus of the present invention using medical statistics.

  Furthermore, it is assumed that a commercially available personal computer terminal, tablet terminal, or general-purpose vital measuring device can be used as hardware constituting the disease diagnosis apparatus, not a dedicated machine. In addition, a known non-contact IC card is used to identify a care staff, a nurse, or a care recipient. As a result, the manufacturing cost of the present apparatus can be kept low and easy to introduce.

  Below, the specific example of use of the structure mentioned above is described.

  The care staff who handles the disease diagnosis apparatus of the present invention logs in by reading his / her contactless IC card into a card reader. Further, the non-contact type IC card of the target person who is in charge of the care staff is read by the reader, and the target person who is to perform the care is selected.

  When the care staff selects the target person, the data regarding the care content and the care record of the target person are itemized and displayed. When the caregiver touches (selects) an item in the care record, input becomes possible using the touch panel.

  The care staff inputs a care record by an icon on the touch panel, input by a fixed sentence, or a memo by automatic voice conversion as necessary. Further, if the care staff wants to know the vital information of the subject person, the vital information of the subject person is displayed when the vital data item is touched (selected).

  As described above, the care record data and the care target person data can be displayed by touching each other as necessary. The vital information measured from the subject can be automatically taken in by a commercially available thermometer or blood pressure monitor having an automatic data transmission function. In addition, the care record is automatically created by linking various records such as a care diary, a contact report, and individual case records.

  With the configuration as described above, the following effects can be obtained for the care record.

  First, it is possible to reduce leakage of care contents, input errors of care records, and transcription errors. Moreover, it becomes the work efficiency of the nursing record and vital information measurement said to have the most work time. Moreover, the trouble of changing the same content to a different recording medium, such as a care diary and a care record, can be saved.

  In addition, a plurality of nursing staff can share vital information and nursing records in real time. Furthermore, information sharing with medical institutions is facilitated. Moreover, management as digital data makes it easy to visualize the data. In addition, centralized management using digital data can reduce the burden of office work management for care providers.

  As described above, the disease diagnosis apparatus of the present invention enables highly accurate disease diagnosis by reflecting vital signs taking into account individual differences among subjects, daily physical condition, and past medical history, and the quality of medical care for the elderly. It also functions as a support tool for doctors' diagnosis.

DESCRIPTION OF SYMBOLS 1 Vital abnormality determination part 2 Vital measurement part 3 Information management part 4 Thermometer 5 Pulse oximeter 6 Blood pressure meter 7 Body composition meter 8 Blood glucose meter 9 Respiration rate sensor 10 Ambulatory intensity meter 11 Information processing part 12 Display part 13 Personal information database 14 Healthy Body temperature information at the time of examination 15 Vital information database 16 Health observation information database 17 Vital average processing section 18 Band width information processing section 19 Band width information 20 Normal heat 21 Body temperature on September 9 22 Body temperature on September 8 23 September 16 Body temperature 24 Body temperature on September 15 25 Body temperature on September 10 26 Body temperature on September 26 27 Upper band width 28 Lower band width 29 Average oxygen saturation 30 Oxygen saturation on October 9 31 October 8 Oxygen saturation of 32 October 14 Oxygen saturation 33 October 13 Oxygen saturation 34 October 4 Oxygen saturation 35 October Oxygen saturation of the day 36 Oxygen saturation of September 25 37 Upper band width 38 Lower band width 39 Disease diagnosis device 41 Pathological factor determination unit 42 Disease determination unit 43 Health basic information 44 Questionnaire information 45 Observation information 46 Care record information 47 Disease Information Database 48 Diagnosis Target Disease Information Database 49 Pathology Classification Flowchart Database 51 Diagnosis Target Pathological Information 55 Inherent Interrogation Information Database 56 Disease Information Dictionary Database 57 Thermal Type Table Processing Unit 58 Malignant Tumor Factor (I)
59 Elderly person factor (A)
60 Weight loss 2kg 61 Dehydration factor (D)
62 Inoculated calories are normal 63 Factors that decrease consciousness level (O)
64 Factors of abnormal oxygen concentration (R)
65 Myocardial infarction sequelae 66 Weight gain of 2kg 67 Heart failure factor 68 Thermal table 69 Vital information 70 Health observation information 71 Malnutrition and dehydration 72 Dehydration potential 73 Increase in body temperature 74 Inflammation 75 Not sweating 76 Fever Yes, not sweating 77 High possibility of dehydration 78 Decrease in blood circulation volume 79 Possibility of reduction in circulating blood volume 80 Information on blood pressure 81 Decrease in blood pressure due to dehydration 82 High possibility of dehydration 83 Possible pneumonia Check items related to sex 84 Abnormal (poor response)
85 Poor consciousness level reaction 86 Abnormalities in oxygen concentration 87 Abnormality in oxygen concentration 88 Normal inoculation calories 89 Food intake and water content 90 Heart failure 91 Swelling 92 Swelling 93 Pulmonary edema is inflammation and heart failure 94 Body temperature rise 95 Inflammation is not a factor, likely due to heart failure 96 Blood pressure (or pulse pressure) decreased 97 Circulating blood volume may be decreased 98 Oxygen saturation information 99 Oxygen saturation Decrease 100 Possibility of cardiac function degradation 101 Pathological alert level processing unit 102 Alert pathological condition check unit 103 Doctor diagnosis result information recording unit 104 Bandwidth information correction processing unit 105 Bandwidth range originally set 106 Bandwidth after correction 107 Band width after correction

Claims (31)

A vital measurement unit that measures vital information of the target person,
A vital information recording unit that records the vital information measured by the vital measurement unit together with the date information of the date of measurement,
Health basic information recording unit that records basic health information including information on the subject's health examination, information on the age of the subject, information on past medical history, information on diseases, information on medications, information on blood tests, and information on lifestyle habits When,
Information on the results of interviews with the subject, information on the results of observations, or information on the health observation information including information on care records, information on the date of interview, date of observation, or date of records of care records A health observation information recording section to be recorded with,
Information on the type of the disease including the name of the disease, information on the pathological factor defined for each type of disease, confirmation items necessary for specifying the disease and the confirmation items defined based on the information on the pathological factor A disease information recording unit that records disease information including disease analysis flow information configured from the order of confirmation;
When at least one of the vital information, the health observation information, or the vital information checked based on the health basic information and the health observation information satisfies a predetermined condition, the vital information, the health observation information, and the disease A disease determination unit that determines whether the subject has a specific disease based on the analysis flow information;
Bei example a display signal generation unit for transmitting the external terminal screen to a signal allowed to be capable of displaying various information,
The health observation information recording unit includes information on the result of the interview with the subject, information on the result of observation, and information on the date of the date on which the health observation determination information for each item determined to be normal or abnormal for each item of the care record Record,
Based on the vital information recorded in the vital information recording unit and the item-specific health observation determination information recorded in the health observation information recording unit, at least one abnormality is recorded in the content of the item-specific health observation determination information. A vital average processing unit for calculating a vital average by taking an average value excluding vital information measured on the day,
A disease diagnosis apparatus comprising: a vital abnormality determination processing unit that determines an abnormality when vital information measured by the vital measurement unit exceeds a predetermined range from vital information measured on the previous day . The vital abnormality determination processing unit classifies and determines the vital information measured by the vital measurement unit at least in three stages: normal, caution, and warning.
The disease diagnosis apparatus according to claim 1 . When calculating the vital average value, the vital average value processing unit takes an average value except for vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range.
The disease diagnosis apparatus according to claim 1 or 2 . The content of the health observation determination information for each item from the vital average value on the day before the measurement day, which is the vital average value on the day before the measurement of the vital information, and the past vital information recorded in the vital information recording unit Difference between the vital information measured on the day when at least one anomaly is recorded and the maximum and minimum values of vital information excluding vital information whose displacement from the value of the previous day's vital information exceeds a predetermined range And a bandwidth information processing unit for recording the bandwidth information on the day before the measurement date as the information on the width on the upper limit side and the lower limit side based on the vital average value on the day before the measurement day,
In the vital abnormality determination processing unit, the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds the day width information on the measurement date recorded in the bandwidth information processing unit. A warning if
The disease diagnosis apparatus according to claim 1, claim 2 or claim 3 . The vital abnormality determination processing unit determines a caution or warning when a difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds a predetermined range.
The disease diagnosis apparatus according to claim 4 . The confirmation items necessary for identifying the disease in the disease analysis flow information include specific inquiry information specific to the pathological factor,
When there is no information corresponding to the answer to the specific inquiry information in the health observation information, the display signal generation unit can display the specific inquiry information and message information for prompting the answer on an external terminal screen. Send a signal
The disease diagnosis apparatus according to claim 1, claim 2, claim 3 or claim 4 . The disease determination unit, after confirming the confirmation item necessary for specifying the disease in the disease analysis flow information, satisfies the condition of the content of the last confirmation item in the order of the confirmation item, the vital information or the health observation information If it is confirmed that the subject has a specific disease
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4 or claim 6 . The disease determination unit
The subject satisfying the predetermined condition is classified into at least three categories of catecholamine release pathological condition group, shock pathological condition group or other pathological condition group based on the vital information, and the vital information, the health observation information, and the disease analysis. Based on the flow information, determine whether the subject has a specific disease,
The vital information or the health observation information does not satisfy the conditions of the content of the confirmation item in the middle or at the end of the confirmation item necessary for identification of the disease in the disease analysis flow information, and the subject is a catecholamine release pathological group or shock If the subject is classified into a pathological group, the subject determines that there is a possibility of a catecholamine release pathological group or a shock pathological group
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4, claim 6, or claim 7 . The disease determination unit
The vital information or the health observation information does not satisfy the conditions of the content of the confirmation item in the middle or at the end of the confirmation item necessary for specifying the disease in the disease analysis flow information, and the subject is classified into another disease state group. If it is determined that the patient has a corresponding medical condition based on the content of the vital information
The disease diagnosis apparatus according to claim 8 . The disease determination unit
For the vital information, when the vital abnormality determination processing unit determines a warning, when a certain number of warnings are determined for a plurality of vital information, or when a warning is determined for a predetermined combination of vital information In addition, based on the vital information, the health observation information, and the disease analysis flow information, it is determined whether or not the subject has a specific disease.
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4, claim 6, claim 7, claim 8, or claim 9 . The disease determination unit
For the vital information, when a numerical value calculated by combining at least two types of vital information satisfies a predetermined condition, the subject is identified as having a specific disease based on the vital information, the health observation information, and the disease analysis flow information. Determine if there is
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4, claim 6, claim 7, claim 8, claim 9, or claim 10 . The disease determination unit
When at least one abnormality is recorded in the content of the item-specific health observation determination information, based on the vital information, the health observation information, and the disease analysis flow information, whether or not the subject has a specific disease judge
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4, claim 6, claim 7, claim 8, claim 9, claim 10, or claim 11 . Based on the health basic information recorded in the health basic information recording unit and the disease information recorded in the disease information recording unit, is it likely that the subject is likely to have multiple pathologies in the disease information? Determine whether or not, set a warning level for each pathological condition, and record a pathological warning level processing section to record in the basic health information recording section,
Whether or not the vital abnormality determination processing unit has made a caution determination on the vital information related to the pathological factor of the pathological condition determined that the warning level is high, or the pathological alert level processing unit relates to the pathological factor A warning pathological condition check unit that checks whether or not an abnormality has been recorded in the item-specific health observation determination information for health observation information,
The disease determination unit
The vigilance condition check unit checks that the vital abnormality determination processing unit makes a caution determination for the vital information, or that an abnormality is recorded in the item-specific health observation determination information for the health observation information. When checked, it is determined whether or not the subject has a specific disease based on the vital information, the health observation information, and the disease analysis flow information.
The disease diagnosis apparatus according to claim 1, claim 2, claim 3, claim 4, claim 6, claim 7, claim 8, claim 9, claim 10, claim 11, or claim 12 . The disease determination unit
At least whether the difference between the vital information measured by the vital measurement unit and the average vital value on the day before the measurement date exceeds the day width information on the measurement date recorded in the bandwidth information processing unit, Whether the difference between the vital information measured by the measurement unit and the average vital value on the day before the measurement date exceeds the predetermined range, the vital information measured by the vital measurement unit is within the predetermined range from the vital information measured on the previous day. It is determined whether the vital information measured by the vital measurement unit exceeds a predetermined absolute value, or whether the vital information measured by the vital measurement unit falls below a predetermined absolute value. , It is determined whether or not the condition of the confirmation item necessary for specifying the disease in the disease analysis flow information is satisfied
The disease diagnosis apparatus according to claim 4 or 5 . The disease determination unit determines whether or not a condition of a confirmation item necessary for specifying a disease in the disease analysis flow information is satisfied based on the health basic information recorded in the health basic information recording unit.
The disease diagnosis apparatus according to claim 7, claim 8, claim 9, claim 10, claim 11, claim 12, or claim 13 . The disease determination unit determines whether or not a condition of a confirmation item necessary for specifying a disease in the disease analysis flow information is satisfied based on information on a response of the subject to the specific inquiry information.
The disease diagnosis apparatus according to claim 6 . The disease determination unit
Based on the past history information or lifestyle information of the basic health information recorded in the basic health information recording unit, narrow down the relevant pathological conditions among the plurality of pathological conditions of the disease information, the vital information, the same health Based on the observation information and the disease analysis flow information, it is determined whether or not the subject has a specific disease.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13 or Claim 15 . Disease diagnosis device. The disease determination unit
From the combination of vital information determined by the vital abnormality determination processing unit as caution or warning, and the health observation information that is the basis determined as abnormal in the item-specific health observation determination information, a plurality of disease states of the disease information Narrow down the relevant pathological conditions, and determine whether the subject has a specific disease based on the vital information, the health observation information, and the disease analysis flow information.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13 or Claim 15 . Disease diagnosis device. The disease determination unit determines that the subject has a specific disease, determines that the subject has a catecholamine release pathological group or a shock pathological group, or classifies the subject into another pathological group Is determined to have a corresponding medical condition based on the content of the vital information,
The display signal generator generates a signal that enables the target person to display information on the disease of a specific disease, disease information on a disease included in a catecholamine release condition group or a shock condition group, or information on a disease state on an external terminal screen. Send
The disease diagnosis apparatus according to claim 9 . Disease-state information in a flowchart format including information on the disease, information on the condition of the vital value related to the disease, information on the condition of the medical condition, specific inquiry information specific to the disease, and information on the condition for the answer to the specific inquiry information; Including a pathological condition discrimination flowchart recording unit in which is recorded,
The pathological condition discrimination information is based on the content of vital information determined by the vital abnormality determination processing unit as caution or warning.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13, Claim 15. The disease diagnosis apparatus according to claim 17, claim 18 or claim 19 . The disease information recording unit records at least information including pathological name, concept, cause, discrimination, pathological condition, symptom, examination, treatment, and vital value condition information related to the disease, and the vital value condition And a disease dictionary part configured to be able to search pathology by collating the vital information recorded in the vital information recording part,
The display signal generation unit transmits a signal that enables information recorded in the disease dictionary unit to be displayed on an external terminal screen.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13, Claim 15. The disease diagnosis apparatus according to claim 17, claim 18, claim 19 or claim 20 . Information that should be observed with caution from the vital information and the health observation information based on the history information, disease information, and lifestyle information of the subject recorded in the health basic information recording section is required to be observed A thermal table processing unit that creates a thermal table by listing information and date information of each item of the information to be observed as well as extracting as information,
The display signal generation unit transmits a signal that allows the thermal type table created by the thermal type table processing unit to be displayed on an external terminal screen.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13, Claim 15. The disease diagnosis apparatus according to claim 17, claim 18, claim 19, claim 20 or claim 21 . A diagnostic result information recording unit that records information of a doctor's diagnostic result for the subject,
The bandwidth information processing unit corrects the content of the bandwidth information before the measurement date based on the content of the diagnosis result information recorded in the diagnosis result information recording unit.
The disease diagnosis apparatus according to claim 4, claim 5 or claim 14 . The bandwidth information processing unit sets the bandwidth information before the measurement date for the vital information for the past 30 days based on the measurement date of the vital information among the past vital information recorded in the vital information recording unit. calculate
The disease diagnosis apparatus according to claim 4, claim 5, claim 14, or claim 23 . The vital average processing unit calculates the vital average daily.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13, Claim 15. The disease diagnosis apparatus according to claim 17, claim 18, claim 19, claim 20, claim 21 or claim 22 . The bandwidth information processing unit calculates daily bandwidth information before the measurement date every day.
The disease diagnosis apparatus according to claim 4, claim 5, claim 14, claim 23, or claim 24 . The vital information includes at least one information selected from body temperature, oxygen saturation, pulse, pulse pressure, blood pressure, respiratory rate, and weight.
Claim 1, Claim 2, Claim 3, Claim 4, Claim 6, Claim 7, Claim 8, Claim 9, Claim 10, Claim 11, Claim 13, Claim 15. The disease diagnosis apparatus according to claim 17, claim 18, claim 19, claim 20, claim 21, claim 22 or claim 25 . The vital abnormality determination processing unit determines that the body temperature value measured by the vital measurement unit is abnormal when the displacement from the body temperature value measured on the previous day is 0.5 ° C. or more.
The disease diagnosis apparatus according to claim 27 . The vital abnormality determination processing unit determines that the body temperature value measured by the vital measurement unit is abnormal when the displacement from the body temperature measured on the previous day is 0.5 ° C. or more, and the determination level corresponds to attention. When the displacement is 1.0 ° C. or higher, the fact that the judgment level corresponds to the warning is notified.
The disease diagnosis apparatus according to claim 27 or claim 28 . The vital value processing unit calculates an average value excluding temperature information whose displacement from the temperature information value of the previous day is 0.5 ° C. or more, and calculates a reference temperature average value on the day before the measurement date.
30. The disease diagnosis apparatus according to claim 27, claim 28, or claim 29 . From the reference temperature average value on the day before the measurement day, which is the temperature average value on the day before the measurement of the vital information, and the past temperature information recorded in the vital information recording unit, the health observation determination information for each item The maximum and minimum values of temperature information excluding the temperature information measured on the day when at least one abnormality is recorded in the contents and the temperature information whose displacement from the temperature information value of the previous day is 0.5 ° C or more, A temperature band width information processing unit that calculates the difference and records it as temperature band width information on the day before the measurement date that is information on the upper limit side and the lower limit side width based on the reference temperature average value on the day before the measurement day,
The vital abnormality determination processing unit includes the difference between the temperature information measured by the vital measurement unit and the reference temperature average value on the day before the measurement date, and the temperature band information on the day before the measurement date recorded in the temperature band information processing unit. Judged as a warning when exceeding
The disease diagnosis apparatus according to claim 27, claim 28, claim 29 or claim 30 .

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