Medical support system, medical support device and program

Abstract

To provide a technology regarding a system that pertains to assisting in medical care, that reduces a doctor's burden of medical care and assists in conducting accurate diagnosis.SOLUTION: Provided is a medica care assistance system comprising: biometric information acquisition means that acquires patient biometric information including a heart rate per day and a pulse rate on one or more occasions of a patient to be managed; daily measured value calculation means that calculates one heart rate and one pulse rate of the one occasion per day for the patient, on the basis of the biometric information and a prescribed calculation rule; medical care assistance image generation means that generates a medical care assistance image including a heart-pulse rate graph in which the one heart rate and the one pulse rate per day are plotted in one graph area showing time on one axis and the heart rate on the other axis; and output means that outputs the medical care assistance image.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention belongs to the field of healthcare-related technology, and relates to a medical assistance system, a medical assistance device, and a program. [Background technology]

[0002] In recent years, a system has been proposed that continuously acquires and records biological information of a patient and displays changes in the biological information over time to support medical treatment by a doctor (for example, Patent Document 1).

[0003] Patent Document 1 discloses a medical information processing system that stores a patient's vital data in association with time, displays the vital data in chronological order, and calculates and displays statistical information related to the displayed vital data. This allows an operator such as a doctor to easily grasp the trends in the patient's vital data, making it easier to understand the patient's condition and determine the type and dosage of medication to prescribe to the patient.

[0004] Such a system can reduce the burden on doctors, especially when treating patients with chronic diseases, and if it allows appropriate treatment plans to be decided quickly, the benefits will also extend to patients. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-24943 Summary of the Invention [Problem to be solved by the invention]

[0006] However, errors may occur when measuring vital data. Specifically, this may occur when a value significantly different from a normally expected value is obtained, or when no value can be obtained at all. Causes of this phenomenon include improper attachment of the measuring device, body movement during measurement (measurement error), and discrepancies in measured values ​​due to the patient's pathological condition (for example, discrepancies between the heart rate and pulse rate that should be identical if a healthy person were to measure them correctly at the same time). In either case, attention is required. Even with the technology described in Patent Document 1, if such defective vital data is included or a data set with incomplete data is used, the reliability of the statistical information provided will be reduced.

[0007] Furthermore, if there is a discrepancy in the measurement values ​​due to the patient's pathological condition, it is possible that there are symptoms or changes in the pathological condition that need to be detected, so being able to identify such discrepancies early is useful for proper diagnosis.In the case of a measurement error where the measurement itself was not performed properly, it is sufficient to perform the measurement again, but if a device (such as a wearable device) is used that automatically processes the measurement, recording and transmission of measurement data according to rules, the patient may not realize that the measurement has not been completed normally.

[0008] In view of the above-mentioned problems, the present invention relates to a medical support system and aims to provide a technology that reduces the burden on doctors in medical care and supports them in making accurate diagnoses. [Means for solving the problem]

[0009] In order to solve the above problems, the present invention employs the following configuration: a biological information acquiring means for acquiring biological information of a patient to be managed, the biological information including a heart rate and a pulse rate on at least one occasion per day; a daily measurement value calculation means for calculating one heart rate and one pulse rate of the patient for each day based on the biological information and a predetermined calculation rule; 1 abovea diagnostic support image generating means for generating a diagnostic support image including a heart rate and pulse rate graph in which the one heart rate and the one pulse rate for each day are plotted in one graph area with time as one axis and beats as the other axis; an output means for outputting the medical assistance image; It is a medical support system that has the following features.

[0010] Here, "heart rate" refers to the number of heartbeats, and "pulse rate" refers to the number of blood vessels (at the part of the body being measured) beating. Furthermore, "one occasion" refers to a single measurement timing for a single piece of biological information, such as "morning (within one hour after waking up)" and "evening (before going to bed)" in the guidelines for diagnosing and treating hypertension. Specifically, this can be specified by setting a certain time span, such as "one occasion = 10 minutes (from the start of the first biological information measurement)." Furthermore, a series of biological information measured within that time span is collectively referred to as "biological information obtained at one occasion." Furthermore, "one... at one occasion" refers to calculating only one measurement value, even if multiple measurements are taken of the same biological information at one occasion and multiple measurement values ​​are obtained. Specifically, this refers to selecting a representative measurement value from multiple measurements at one occasion, or averaging multiple measurements to obtain a single measurement value.

[0011] With this configuration, doctors can easily check the changes in the patient's cardiac contractile function by referring to the output medical support image. Furthermore, by plotting the heart rate and pulse rate in the same graph area, discrepancies between the heart rate and pulse rate measured at the same time can be visually recognized and easily understood, allowing for more appropriate medical treatment of the patient. Furthermore, even if there is a measurement error in either the heart rate or pulse rate measurement, the patient's cardiac contractile function can be diagnosed based on the value of the other.

[0012] Furthermore, the biological information may include the presence or absence of atrial fibrillation, and the diagnostic support image generating means may generate the diagnostic support image including the heart rate pulse graph on which the heart rate when the atrial fibrillation is detected is also plotted. With this configuration, the measured value of the heart rate when the atrial fibrillation is detected is plotted separately in the graph area, allowing a doctor to take into consideration changes in the patient's cardiac function, including the occurrence of the atrial fibrillation, when making a diagnosis.

[0013] Furthermore, the diagnostic support image generating means may generate the diagnostic support image in such a way that, if atrial fibrillation is detected, a mark indicating that fact is displayed on the heart rate pulse graph and / or the heart rate at the time the atrial fibrillation is detected is also displayed. Furthermore, the biological information acquiring means may also acquire whether or not the patient has arrhythmia on a daily basis, and the diagnostic support image generating means may generate the diagnostic support image in such a way that, if the arrhythmia is detected, a mark indicating that fact is displayed on the heart rate pulse graph. With this configuration, a doctor can easily check the occurrence frequency and changes of atrial fibrillation and arrhythmia by referring to the output diagnostic support image.

[0014] Furthermore, the daily measurement value calculation means may be configured to set the heart rate and pulse rate on one occasion as the measurement value on one occasion if no further measurement is made within 10 minutes after the first measurement, and to set the measurement value on one occasion as the average value of all measurements made within 10 minutes if further measurement is made within 10 minutes after the first measurement. With such a rule, a single measurement value can be easily obtained whether only one measurement is made on one occasion or multiple measurements are made, thereby reducing the load on the system.

[0015] In addition, when the biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day, the daily measurement value calculation means selects one occasion from the plurality of measurement occasions and calculates the heart rate and the pulse rate at the selected occasion. heartThe one heart rate and one pulse rate for each day may be calculated based on the measured values ​​of the heart rate and the pulse rate.

[0016] Furthermore, when the biometric information acquisition means acquires the heart rate and the pulse rate at multiple measurement occasions per day, the daily measurement value calculation means may select a measurement occasion at a predetermined timing as the one occasion in the day, and calculate the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion.

[0017] Furthermore, when the biometric information acquisition means acquires the heart rate and the pulse rate at multiple measurement occasions per day, the daily measurement value calculation means may select the measurement occasion with the largest deviation in the heart rate and the pulse rate within one measurement occasion as the one occasion in the day, and calculate the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion.

[0018] Furthermore, when the biometric information acquisition means acquires the heart rate and the pulse rate at multiple measurement occasions per day, the daily measurement value calculation means may select the measurement occasion with the smallest time difference between the measurement times of the heart rate and the pulse rate within one measurement occasion as the one occasion in the day, and calculate the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion.

[0019] Furthermore, when the biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day and acquires a plurality of the heart rate or the pulse rate at each occasion, The daily measurement value calculation means may select the measurement occasion in the day that has the smallest difference between the multiple heart rates or pulse rates obtained on each occasion, and calculate the one heart rate and the one pulse rate based on the measurement values ​​measured on that occasion.

[0020] The biometric information acquisition means may also acquire information regarding whether or not the heart rate and pulse rate were measured under conditions that could adversely affect the measurements. Furthermore, if the heart rate and pulse rate displayed in the heart rate and pulse graph are calculated using values ​​measured under conditions that could adversely affect the values, the diagnostic support image generation means may generate the diagnostic support image including the heart rate and pulse graph in a manner that indicates this. Specifically, for example, if body movement or improper device attachment during measurement is detected, a mark indicating this may be displayed, or the color or shape of the point plotting the measurement value may be changed. This allows the doctor to easily determine whether the displayed heart rate and pulse rate are reliable.

[0021] The biological information acquiring means also acquires information regarding whether or not a measurement state that may adversely affect the heart rate and pulse rate was present when the heart rate and pulse rate were measured, When the biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day, The daily measurement value calculation means may determine that one measurement occasion in a day is one occasion on which there is no information indicating that the measurement conditions at the time of measuring the heart rate and pulse rate were such that they could have an adverse effect on the measurements, and calculate the one heart rate and the one pulse rate based on the measurement values ​​measured on that occasion.

[0022] The present invention can also be seen as a medical assistance device that has the biometric information acquisition means, the daily measurement value calculation means, and the medical assistance image generation means, and that constitutes at least a part of the medical assistance system.

[0023] The present invention can also be understood as a program for causing a computer to function as such a medical assistance device, or as a computer-readable recording medium on which such a program is non-temporarily recorded.

[0024] The present invention can be achieved by combining the above-described configurations and processes as long as no technical contradiction occurs. [Effects of the Invention]

[0025] According to the present invention, it is possible to provide a technology for a medical support system that can reduce the burden on medical professionals in diagnosing the severity of a disease that is the target of treatment for a patient. [Brief explanation of the drawings]

[0026] [Figure 1] FIG. 1 is a schematic diagram showing the configuration of a medical support system according to an embodiment. [Figure 2] FIG. 2 is a block diagram illustrating a functional configuration of a server device according to an embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of a data table according to the embodiment. [Figure 4] FIG. 4 is a block diagram illustrating a functional configuration of a doctor's terminal according to the embodiment. [Figure 5] FIG. 5 is a first diagram illustrating an example of a medical support image output on the doctor-side terminal. [Figure 6] Fig. 6A is a second diagram illustrating an example of a medical support image output on a doctor-side terminal, and Fig. 6B is a third diagram illustrating an example of a medical support image output on a doctor-side terminal. [Figure 7] Fig. 7A is a fourth diagram illustrating an example of a medical support image output on a doctor-side terminal, and Fig. 7B is a fifth diagram illustrating an example of a medical support image output on a doctor-side terminal. [Figure 8] Fig. 8A is a sixth diagram illustrating an example of a medical support image output on a doctor-side terminal, and Fig. 8B is a seventh diagram illustrating an example of a medical support image output on a doctor-side terminal. [Figure 9] FIG. 9 is an eighth diagram illustrating an example of a medical support image output on the doctor-side terminal. [Figure 10]FIG. 10 is a block diagram illustrating a functional configuration of a patient-side terminal according to the embodiment. [Figure 11] Fig. 11A is a first diagram illustrating an example of a user interface displayed on a patient-side terminal, and Fig. 11B is a second diagram illustrating an example of a user interface displayed on a patient-side terminal. [Figure 12] FIG. 12 is a diagram showing the flow of information exchange and processing performed in the medical assistance system according to the embodiment. [Figure 13] FIG. 13 is a diagram showing an outline of another aspect of the medical support system. DETAILED DESCRIPTION OF THE INVENTION

[0027] Example 1 Specific embodiments of the present invention will be described below with reference to the drawings. However, unless otherwise specified, the dimensions, shapes, relative positions, and the like of the components described in these embodiments are not intended to limit the scope of the present invention.

[0028] (System Configuration) FIG. 1 is a schematic diagram showing the configuration of a medical support system 1 according to this embodiment. As described above, the medical support system 1 is configured to include a server device 100, a doctor terminal 200 used by a doctor, a patient terminal 300 used by a patient P, and a measuring device 400, and each of these components can communicate with each other via a communication network N.

[0029] The medical support system 1 according to this embodiment is a medical system that supports doctors in treating patients by transmitting measurements of vital signs such as heart rate, pulse rate, blood pressure, and weight measured by patients at home or elsewhere to a server device 100 via a network N, processing the information, and providing it to medical professionals.

[0030] Patients who are deemed to require continuous monitoring of their vital signs, such as when they receive a definitive diagnosis of heart failure, begin treatment according to their doctor's diagnosis, continuously measure their vital signs at home, and record subjective symptoms in their daily lives. The medical support system 1 collects information related to the measurements and subjective symptoms, and based on this generates medical support images for medical professionals such as doctors to refer to in treating the patient, and outputs them via output means. The medical support images are referenced during patient examinations and as needed during medical treatment.

[0031] If the collected patient measurement values ​​satisfy a preset alert condition, the medical assistance system 1 may display alert information on a medical assistance image. An alert signal may also be sent to a doctor's information processing terminal, mobile communication terminal, or the like. Each component of the system will be described in detail below.

[0032] (Server device) 2 is a block diagram showing the functional configuration of the server device 100. The server device 100 is configured by a general server computer, and includes a control unit 110, a communication means 120, and a storage means 130, as shown in FIG.

[0033] The control unit 110 is a means for controlling the server device 100, and is configured with a processor such as a CPU (Central Processing Unit) or a DSP (Digital Signal Processor). The control unit 110 also includes, as functional modules related to biological information management, functional units such as a measurement information acquisition unit 111, a daily measurement value calculation unit 112, a symptom appearance exercise information acquisition unit 113, a minimum exercise intensity calculation unit 114, an estimated severity calculation unit 115, a subjective symptom information acquisition unit 116, a medication-related information acquisition unit 117, and a diagnosis support image generation unit 118. Each of these functional units will be described in detail later.

[0034] The communication means 120 is a communication means for connecting the server device 100 to the communication network N, and is configured to include, for example, a communication interface board and a wireless communication circuit for wireless communication.

[0035] Although not shown, the storage means 130 includes a main storage unit such as a ROM (Read Only Memory) or a RAM (Random Access Memory), and an auxiliary storage unit such as an EPROM, an HDD (Hard Disk Drive) or an SSD (Solid State Device), or removable media. The auxiliary storage unit stores an operating system (OS), various programs, etc. The stored programs are then loaded into a working area of ​​the main storage unit and executed. The execution of the programs controls the various components, etc., thereby realizing various functional units that fulfill predetermined purposes.

[0036] The measurement information acquisition unit 111 acquires, via the communication network N, measurement values ​​of biological information such as heart rate, pulse rate, and blood pressure measured by the patient P using the measurement device 400, as will be described later, and stores the measurement values ​​in the storage means 130. Note that these measurement values ​​can be acquired using various known measurement devices. Furthermore, the measuring device may be a separate device corresponding to each piece of biological information, or a measuring device that can obtain different measurement values ​​with one device (one measurement), such as an upper arm oscillometric blood pressure monitor that obtains blood pressure and pulse rate, may be used.

[0037] Furthermore, if a specific symptom such as atrial fibrillation (AF) or a suspected symptom is detected during heart rate measurement, the measurement information acquiring unit 111 acquires the information along with the heart rate and stores it in the storage means 130. Furthermore, if a specific symptom such as arrhythmia or a suspected symptom is detected during pulse rate measurement, the measurement information acquiring unit 111 also acquires information to that effect and stores it in the storage means 130. Note that the information on the measurement value acquired by the measurement information acquiring unit 111 includes information on the time when the measurement was performed and information on the location where the measurement was performed (e.g., home, examination room, etc.). Information on whether the measurement condition detected by the measuring device 400 was one that could adversely affect the measurement (e.g., body movement detected during measurement, information indicating improper wearing of the measurement device, etc.) is also acquired.

[0038] The daily measurement value calculation unit 112 calculates the value of the patient P's biological information for each day based on the measurement values ​​stored in the storage means 130. The calculation method for the values ​​calculated here differs depending on the biological information and the type of disease being calculated. For example, even if measurements are taken multiple times per day, some methods determine the biological information for each day as a single value (such as the heart rate and pulse rate described below), while other methods use multiple measurement values ​​taken at different measurement time periods as the measurement value for one day (each of which is distinguishable). Below, we will explain how to calculate the daily measurement values ​​of the heart rate and pulse rate for a patient with heart failure.

[0039] The daily measurement value calculation unit 112 calculates one heart rate and one pulse rate for patient P for one occasion each day based on the measurement values ​​stored in the storage means 130, and stores the calculated values ​​in the storage means 130. Note that one occasion refers to a set of measurement timings for one piece of biological information, such as "morning (within one hour after waking up)" and "evening (before going to bed)" in the guidelines for diagnosing and treating hypertension. In this embodiment, a certain time span is set for such measurement timings, for example, "one occasion = 10 minutes (from the start of the first measurement of biological information)," and a series of multiple pieces of biological information (including different types) measured within that time span is collectively referred to as "biological information obtained at one occasion." In other words, when multiple measurements of biological information are taken within the above-mentioned certain time span, the multiple measurements are collectively referred to as one measurement occasion, and the multiple measurements are biological information obtained at one occasion. Here, whether the same biometric information is measured multiple times, different biometric information is measured once each, or different biometric information is measured once or more each, as long as all of the measurements are taken within a certain period of time, these multiple measurements will be considered to be measurements taken on one occasion.

[0040] On the other hand, even if two measurements are taken for the same biometric information, if the two measurements are not taken within a certain period of time (for example, once when waking up in the morning and once before going to bed at night), the two biometric information will be considered to be biometric information measured on separate occasions (related to measurements on two occasions).

[0041] Here, the calculation of daily measurement values ​​by the daily measurement value calculation unit 112 will be specifically explained using the heart rate as an example. First, when the heart rate is measured only once a day and only this measurement value is stored in the storage means 130, the daily measurement value calculation unit 112 takes this measurement value as the daily heart rate. On the other hand, when multiple measurements are taken in a day and all of the multiple measurements fall within a predetermined time, the daily measurement value calculation unit 112 determines that all of the multiple measurements are measurements taken within a single instance, and calculates one value (for example, the average value of the multiple measurements) as the single heart rate for one instance based on the multiple measurements, and calculates this as the daily heart rate. Also, when multiple measurements are taken in a day and the multiple measurements do not fall within a predetermined time (i.e., measurements are taken on multiple instances), the daily measurement value calculation unit 112 calculates the multiple heart rates. The daily heart rate is calculated using the measurement value from any one of the measurement occasions (for example, the measurement value from a measurement occasion at a preset timing, such as the measurement value from one occasion when waking up in the morning). In this case, too, the method for determining the measurement value from one occasion when multiple measurements are taken within one occasion is as described above. Note that while the heart rate has been described as an example here, the daily measurement value calculation unit 112 performs similar calculation processing for other biological information such as pulse rate.

[0042] The symptom appearance exercise information acquisition unit 113 acquires symptom appearance exercise information, which is information including details of exercises in which symptoms related to the disease (here, heart failure) that is the target of treatment for the patient P appeared, and stores the information in the storage means 130. Specifically, an application executed on the patient-side terminal 300, which will be described later, allows the patient P to input or select the exercise (physical activity) in which the patient P became aware of the symptoms every predetermined period (for example, one week), thereby acquiring the symptom appearance exercise information via the patient-side terminal 300.

[0043] Based on the symptom-appearing exercise information stored in the storage unit 130, the minimum exercise intensity calculation unit 114 calculates the minimum exercise intensity, which is the exercise intensity of the lowest exercise intensity among the exercises at which heart failure symptoms appeared within a predetermined period. In this embodiment, exercise intensity is represented by METs. Hereinafter, the exercise intensity of the lowest exercise intensity among the exercises at which heart failure symptoms appeared within a predetermined period is also referred to as the minimum symptom-appearing METs. METs are an index of activity intensity, indicating how many times the energy consumed by various activities, with 1 MET being equivalent to 1 MET at rest (sitting quietly). Specifically, the minimum exercise intensity calculation unit 114 may store an exercise intensity table in the storage unit 130 that associates the type of exercise with the exercise intensity of the exercise, and may refer to the exercise intensity table to determine the minimum symptom-appearing METs. The calculated minimum symptom-appearing METs are stored in the storage unit 130.

[0044] The estimated severity calculation unit 115 calculates estimated severity information indicating the severity of heart failure based on the symptom-inducing minimum METs stored in the storage unit 130. In this embodiment, the severity is based on the NYHA classification, and hereinafter, the estimated severity is also referred to as the estimated NYHA classification. The estimated severity calculation unit 115 may calculate the estimated severity by, for example, referring to a data table stored in the storage unit 130 in which the symptom-inducing minimum METs number and the estimated NYHA classification are associated. FIG. 3 shows an example of a data table in which the type of exercise, the METs (numerical value) of the exercise, and the estimated NYHA classification when the METs of the exercise are the symptom-inducing minimum METs number are associated. Note that the types of exercise (and the corresponding METs and estimated NYHA classification) shown in FIG. 3 are representative examples, and many more types of exercise are actually defined. The estimated severity calculated here is stored in the storage unit 130.

[0045] The subjective symptom information acquisition unit 116 acquires information about the presence or absence (and type) of symptoms related to heart failure in the patient P for each predetermined period (for example, every day), and stores the information in the storage means 130. Specifically, similar to the symptom appearance exercise information, the subjective symptom information may be acquired via the patient terminal 300 by having the patient P select the symptoms he or she feels at a fixed time each day using an application executed on the patient terminal 300. Specifically, for example, a list of symptoms may be presented and the patient may select a symptom from the list, or text information related to the subjective symptoms may be input as a memo or the like.

[0046] Furthermore, the medication-related information acquisition unit 117 acquires information regarding whether or not the patient is taking medication and the medication rate (frequency of medication), and stores this information in the storage means 130. It may also acquire information regarding the content and frequency of side effects when taking medication. For example, this information, like the symptom appearance exercise information, can be acquired via the patient terminal 300 by having the patient P select whether or not to take medication that day at a fixed time every day using an application executed on the patient terminal 300. Furthermore, the medication-related information acquisition unit 117 may be configured to acquire information on medications prescribed to the patient P (prescription information) in cooperation with an external system (for example, an electronic medical record system) (not shown).

[0047] The medical assistance image generation unit 118 generates a medical assistance image for medical personnel to refer to, based on data output from each functional unit, i.e., the measurement information acquisition unit 111, daily measurement value calculation unit 112, symptom appearance exercise information acquisition unit 113, minimum exercise intensity calculation unit 114, estimated severity calculation unit 115, subjective symptom information acquisition unit 116, and medication-related information acquisition unit 117, and stored in the storage means 130. The generated medical assistance image is transmitted to the doctor's terminal 200 via the communication network N. Details of the medical assistance image will be described later.

[0048] (Doctor's terminal) 4 is a block diagram showing the functional configuration of the doctor's terminal 200. The doctor's terminal 200 is a general computer, such as a fixed-type personal computer, a portable notebook personal computer, or a tablet terminal, and includes a control unit 210, input means 220, output means 230, storage means 240, and communication means 250.

[0049] The control unit 210 is a means for controlling the doctor terminal 200 and is constituted by, for example, a CPU. The input unit 220 is a means for accepting information input from an external device, such as a keyboard, mouse, touch panel, camera, or microphone. The output unit 230 is constituted by an LCD display, a speaker, and the like. The storage unit 240, like the server device, is constituted by a main storage unit, an auxiliary storage unit, and the like, and stores an operating system (OS), various programs, and various other data acquired via the communication network N. The communication unit 250 is constituted by, for example, a communication interface board and a wireless communication circuit for wireless communication.

[0050] Although not shown, the doctor's terminal may be able to access the electronic medical record management system. In such a case, the patient's electronic medical record data stored in the electronic medical record management system may be read out and transmitted to the server device 100, or information transmitted from the server device 100 may be linked to the electronic medical record data. In such a case, it becomes possible for the doctor to check the medical assistance images via the electronic medical record management system.

[0051] The doctor's terminal 200 acquires a medical support image from the server device 100 via the communication network N, and outputs this information to the output means 230. FIGS. 5 to 9 show examples of screens (medical support images) displayed on the output means 230 of the doctor's terminal 200. FIG. 5 is an explanatory diagram showing an example of a medical support image for one of patients P under the care of a doctor who is the terminal administrator. As shown in FIG. 5 , the medical support image according to this embodiment includes multiple regions each showing different information. Specifically, the image includes a summary information region OV, a weight information region W, an estimated NYHA classification transition region NT, a subjective symptom information region S, a medication information region ME, a blood pressure information region BP, and a heart rate and pulse information region HP. The entire medical support image does not need to be displayed on the output means; the display region can be selected (by scrolling the screen or zooming in and out) as needed. The medical support image may also be generated based on a combination and order of items specified in advance by the doctor.

[0052] The information displayed in each area of ​​the medical support image will be specifically explained below. Fig. 6A is an enlarged view of the summary information area OV. As shown in Fig. 6A, the summary information area OV displays information on patient attributes such as the patient's name, sex, and age, as well as the most recently acquired patient information and patient information from the previous examination. As part of the patient information, minimum METs information MM indicating the minimum symptom appearance METs (and estimated NYHA classification) is displayed. This display allows the doctor to check the patient P's most recent minimum symptomatic METs (and estimated NYHA classification), as well as refer to the previous minimum symptomatic METs (and estimated NYHA classification), allowing the doctor to efficiently conduct interviews to diagnose the severity of the patient P's condition during the examination.

[0053] FIG. 6B is an enlarged view of the weight information area W. As shown in FIG. 6B, the weight information area W graphically displays changes in patient P's weight over a display period (e.g., from the first to the last day of the previous month, the past month, the past week, etc.). When cardiac function deteriorates, poor blood flow makes it easier for fluid to accumulate in the body, and weight gain (due to this fluid accumulation) (e.g., the amount of weight gain per week) is an important indicator of the severity of heart failure. For this reason, the weight information area W may be configured to display alert information if the weight gain or loss within a specified period exceeds a threshold.

[0054] 7A is an enlarged view of the estimated NYHA classification transition region NT. As shown in FIG. 7A, the estimated NYHA classification transition region NT displays an estimated severity time series graph showing the estimated NYHA classification for each predetermined period within the display period, with an estimated severity display bar SB that makes it possible to distinguish between classes using different colors. In addition, the corresponding minimum symptom appearance METs (and estimated NYHA classification) are displayed in text near the estimated severity display bar SB. This display allows the doctor to easily check the transition of the patient's estimated NYHA classification within the display period, and allows for efficient interviewing to diagnose the severity of patient P during consultation.

[0055] The estimated severity display bar SB is basically displayed for each predetermined period. However, if there is a change in the timing of information acquisition by the symptom appearance movement information acquisition unit 113, or if the predetermined period includes a date before the first day or after the last day of the display area, the estimated severity display bar SB may be displayed for a period that does not fulfill the predetermined period.

[0056] 7B is an enlarged view of the subjective symptom information area S. As shown in FIG. 7B, the subjective symptom information area S displays, for each day in chronological order, information indicating whether or not the patient experienced subjective symptoms associated with heart failure by displaying a dot for each type of symptom (the symptom displayed as a dot indicates the symptom experienced on that day). Furthermore, if the patient has taken daily notes via the patient-side terminal 300 (described later), a display indicating this may also be displayed. By referring to such a display, the doctor can easily confirm the changes in the types and frequency of subjective symptoms that the patient P experiences from day to day.

[0057] Furthermore, by aligning this symptom information area S with the estimated severity display bar SB on the same time axis, doctors can easily confirm the correspondence between the daily changes in subjective symptoms and the changes in estimated severity, enabling them to efficiently grasp the progression of the patient's condition.

[0058] FIG. 8A is an enlarged view of the medication information area ME. As shown in FIG. 8A, the medication information area ME displays the patient's medication information (whether or not the prescribed medication was taken correctly) for the display period on a daily basis by activating or deactivating the capsule mark display. If an emergency medication was taken, this information is displayed separately in the field for the date of administration. If medication is to be taken multiple times per day (e.g., morning, noon, and evening), a field for whether or not the medication was taken may be provided for each dose. Alternatively, the medication rate per day may be displayed (e.g., by displaying a mark for the number of doses taken, or by displaying the number of minutes), or a pie chart may be displayed.

[0059] FIG. 8B is an enlarged view of the blood pressure information area BP. As shown in FIG. 8B, the blood pressure information area BP displays blood pressure values ​​for each day within the display period. Specifically, the blood pressure values ​​for one occasion are displayed as a bar graph with the systolic blood pressure at the top and the diastolic blood pressure at the bottom. Note that if the blood pressure is displayed for two or more occasions, If there are measurements (for example, when waking up in the morning and before going to bed at night), these can be displayed side by side as shown in Fig. 8B. Also, the measurement occasions (for example, morning / night / other) can be displayed in a distinguishable manner by using a color-coded display or the like.

[0060] FIG. 9 is an enlarged view of the heart rate and pulse information area HP. As shown in FIG. 9, the heart rate and pulse information area HP displays a graph plotting the daily heart rate and daily pulse rate calculated by the daily measurement value calculation unit 112, as well as the heart rate at the time of atrial fibrillation (AF) detection, in the same graph area (the X axis is the time axis, and the Y axis is the beats per minute). Note that the graph displays a single value for the daily heart rate and daily pulse rate per day. However, if multiple AF events are detected in a single day, all of the heart rates at the time of AF detection are plotted. This allows users to distinguish between items whose changes over time are important and items whose information is important, and correlate them accordingly. Additionally, a separate mark indicating the days on which AF and irregular pulse waves (arrhythmia) were detected may be displayed.

[0061] Furthermore, if the heart rate and pulse rate displayed in the heart rate and pulse information area HP are calculated using values ​​measured under conditions that may adversely affect the values, it may be possible to make this fact identifiable. Specifically, for example, if body movement during measurement or improper device wearing is detected, a mark indicating this may be displayed, or the color or shape of the point on which the measurement values ​​are plotted may be changed.

[0062] In the example shown in FIG. 9, there is a measurement opportunity (upon waking up) for determining the daily measurement values ​​of the heart rate and pulse rate on all days of the display period, and the heart rate and pulse rate for that measurement opportunity are plotted. On the other hand, if there is a day without a measurement opportunity in which both the heart rate and pulse rate are properly measured, it is possible not to plot either the heart rate or pulse rate for that day. Alternatively, it is possible to determine in advance which biological information is to be prioritized between the heart rate and pulse rate, and to plot (display) only the value of that biological information. Alternatively, it is possible to display only the values ​​of biological information that are properly measured in a manner that makes it possible to identify them as reference values.

[0063] By referring to such a display, the doctor can easily check the transition of the cardiac contractile function of the patient P. Furthermore, by plotting one heart rate and one pulse rate calculated by the daily measurement value calculation unit 112 in the same graph area, the discrepancy between the measured values ​​of the heart rate and pulse rate at the same measurement time can be visually recognized and easily understood (i.e., symptoms that should be detected or the possibility of worsening of the pathological condition can be quickly noticed), allowing for more appropriate medical treatment of the patient. Furthermore, even if there is an error in either the measurement of the heart rate or the measurement of the pulse rate, the cardiac contractile function of the patient P can be diagnosed based on the value of the other. When there is a discrepancy between the heart rate and the pulse rate, it is possible to consider and judge, based on other information, whether this is due to a measurement error such as incorrect attachment of the device, or whether a noteworthy event such as a change in the patient's symptoms has occurred. For example, the pulse rate Number When measuring by detecting pressure pulse waves with the cuff of an upper arm blood pressure monitor, if there is an error in the pulse rate, if the blood pressure is measured properly, it is possible to exclude the possibility that the cause is incorrect attachment of the device, and the error in the pulse rate can be It can be assumed that the lar is caused by the patient's condition, such as arrhythmia.

[0064] By referring to the medical support image that displays the above-mentioned information, doctors can efficiently obtain information about patient P, and can streamline the content of medical interviews during the examination, thereby reducing the burden on patient P during the examination.

[0065] (Patient's terminal) 10 is a block diagram showing the functional configuration of the patient-side terminal 300. The patient-side terminal 300 is a portable information terminal such as a smartphone, a tablet terminal, or a wristwatch-type wearable terminal. It is a processing terminal or the like, and comprises a control unit 310 , input means 320 , output means 330 , storage means 340 , and communication means 350 .

[0066] The control unit 310 is a means for controlling the patient-side terminal 300, and is constituted by, for example, a CPU. The input means 320 can be a touch panel display integrated with the output means 330. The storage means 340, like other terminals, is constituted by including a main storage unit, an auxiliary storage unit, and the like, and stores an operating system (OS), various programs, and various other data acquired via the communication network N. The communication means 250 is constituted by, for example, a wireless communication circuit for wireless communication.

[0067] The control unit 310 includes an automatic medical interview execution unit 311 as a functional module related to patient information management, including symptom appearance movement information. The automatic medical interview execution unit 311 is implemented as a function provided by, for example, an application program, and accepts input of patient information via a user interface (hereinafter referred to as UI) that prompts the user to input information to conduct a medical interview. The automatic medical interview execution unit 311 may, for example, display a UI that displays multiple icons related to predetermined items and prompts the user to select an option, or may adopt a so-called chatbot format. The application program may be stored in the storage means 340 of the patient-side terminal 300, or may be provided in the form of SaaS (Software as a Service) on the server device 100.

[0068] The automatic interview execution unit 311 executes the automatic interview at predetermined intervals that are set according to information that the patient is requested to input (for example, medication information, information on the presence or absence of subjective symptoms, symptom movement information, etc.). Also, at the timing of executing the automatic interview (i.e., at predetermined intervals), it issues a notification (screen display, audio output, etc.) to prompt the patient to input information.

[0069] 11A and 11B are diagrams showing an example of a state in which a UI provided by the automatic interview execution unit 311 is displayed on the screen of a smartphone, which is an example of the patient-side terminal 300. FIG. 11A shows a UI that accepts input of daily medication information and information on the presence or absence of subjective symptoms (symptom information). As shown in FIG. 11A, medication information is input by selecting a medication icon for each time period (morning, noon, and evening), and the selected icon is activated. Also, symptom information is input by selecting an icon representing each symptom from the UI, and the selected icon is activated. The automatic interview execution unit 311 executes an automatic interview process that prompts the patient to input medication information and symptom information via the screen of FIG. 11A at a scheduled time (e.g., 9:00 p.m.) every day. Note that the screen shown in FIG. 11A is an example of a UI for inputting medication information and subjective symptoms, and the user may be prompted to input subjective symptoms via other UIs. Specifically, for example, a list of symptoms may be presented and the patient may select a symptom from the list, or text information relating to subjective symptoms may be input as a memo or the like.

[0070] Fig. 11B shows an example of a UI that accepts input of symptom appearance exercise information for a predetermined period. As shown in Fig. 11B, a list of items showing multiple physical activities with different exercise intensities is displayed, and the UI allows input by selecting the physical activity that caused the subjective symptoms to appear. Note that a check mark is displayed next to the selected physical activity, indicating that the item has been selected.

[0071] The automatic interview execution unit 311 executes an automatic interview process that requests the patient to input symptom appearance exercise information at a preset timing (for example, 9:00 p.m. every Saturday) via the screen of FIG. 11B. Note that the timing at which the automatic interview execution unit 311 executes the automatic interview process (information input) is The timing of the notification to prompt the user to perform the test is not limited to "for each specific day of the week (and time)" as described above, i.e., by applying a predetermined period to the calendar, but may also be a timing calculated relatively using the previous response date and a predetermined period, such as "seven days after the previous execution date of the automatic medical interview process (response date)."

[0072] Furthermore, if the patient does not input information despite having received a notification prompting the patient to input information, the automatic medical interview execution unit 311 may issue a notification (remind) prompting the patient to input information again at a predetermined timing without waiting for the next predetermined period to arrive. Here, the predetermined timing may be scheduled in advance, such as the same time on the following day. Alternatively, the reminder may be issued the next time the patient uses the patient-side terminal 300. Specifically, for example, when measuring biological information using the measuring device 400 described below, a reminder message may be displayed along with the measurement results.

[0073] The information input by the patient P via the application as described above is transmitted from the communication means 350 to the server device 100 via the network N. In addition, as will be described later, measurement data acquired from the measuring device 400, necessary information input by the patient P, and the like are also transmitted to the server device 100 in the same manner.

[0074] (measuring equipment) The measuring device 400 is used by the patient P to measure daily biological information, and here, the term measuring device 400 is not limited to a single device but is used as a concept including multiple measuring devices such as a blood pressure monitor, an electrocardiograph, and a weighing scale (body composition monitor). However, measuring device 400 includes at least a device capable of measuring heart rate and a device capable of measuring pulse rate. Furthermore, these measuring devices are capable of detecting atrial fibrillation and irregular pulse waves and acquiring the measurement value and measurement time at the time of detection. Furthermore, each measuring device also detects information regarding whether or not the measurement condition at the time of measuring biological information was such that the measurement could be adversely affected.

[0075] These measuring devices may be of any type. For example, they may be a device that combines an electrocardiograph and a blood pressure monitor, or a body composition monitor that can measure electrocardiograms. They may also be stationary or portable. They may also include wearable devices that are worn by patients at all times.

[0076] In addition, when the above-mentioned wearable device automatically performs processes such as measurement and recording / transmission of measurement data according to rules, the patient may not notice if the measurement is not performed normally. For this reason, the measuring device 400 may be configured to notify the patient (by displaying an image, outputting a sound, etc.) to take another measurement if a measurement error occurs (when a measurement value cannot be obtained, when a condition that adversely affects the measurement value, such as an improper attachment of the device, is detected, etc.).

[0077] If a measurement error occurs, the patient is notified immediately of the error, which increases the possibility that the patient can perform remeasurement within a predetermined time (i.e., within the time considered as one opportunity), and increases the possibility of obtaining a valid measurement value for one opportunity. Note that such notification may be made via the patient-side terminal 300.

[0078] Furthermore, the measuring device 400 may be configured to notify the patient that at least the heart rate and pulse rate should be measured at a predetermined timing every day. The predetermined timing may be in the morning (within one hour after waking up) or at night (before going to bed), and multiple predetermined timings may be set per day. Note that the notification that measurements should be taken may be given by the patient-side terminal 300 instead of the measuring device 400, but it is preferable that at least one of them notifies the patient that the heart rate and pulse rate should be measured at a predetermined timing every day. By doing so, This increases the likelihood that the heart rate and pulse rate will be measured at the same time every day.

[0079] Various measurement data measured using the measuring device 400, such as heart rate, heart rate when atrial fibrillation is detected, pulse rate, presence or absence of arrhythmia, blood pressure value, and weight, are transmitted together with accompanying information such as information about the time of measurement to the patient-side terminal 300 via wired or wireless communication. When wireless communication is used, a short-range wireless data communication standard such as Bluetooth (registered trademark) or infrared communication can be adopted as the communication interface used between the measuring device 400 and the patient-side terminal 300.

[0080] In addition, the measuring device 400 may not have a communication means, in which case the patient P may manually input the measurement data (and measurement date and time information) into the patient side terminal 300, and the information may be sent to the server device 100.

[0081] Furthermore, the patient-side terminal 300 may also have the functions of the measuring device 400. For example, if the patient-side terminal 300 is a wearable terminal attached to the patient P, and if the wearable terminal is provided with a measurement function, it can also function as the measuring device 400. Alternatively, for example, a stationary measuring device 400 may have the function of an information processing terminal and also function as the patient-side terminal 300.

[0082] (Information processing flow within the system) Next, the flow of information processing performed in the medical assistance system 1 according to this embodiment having the above-described configuration will be described. Fig. 12 is a diagram showing the flow of information exchange and processing performed within the medical assistance system 1. As shown in Fig. 12, first, measurement data obtained by the patient P using the measuring device 400, symptom onset movement information, subjective symptom information, medication information, etc. are input to the patient-side terminal 300 (S101). This information is sent from the patient-side terminal 300 to the server device 100 either individually or collectively for a predetermined period (e.g., one week) (S102).

[0083] In the server device 100, the received various information is stored in the storage means 130, and a medical assistance image is generated based on the information (S103).

[0084] Thereafter, the doctor transmits request information for a medical assistance image to the server device 100 via the doctor terminal 200 (S104). The server device 100, which has received the request, provides the medical assistance image to the doctor terminal 200 (S105), and the medical assistance image is displayed on the output means 230 of the doctor terminal 200 (S106). Here, the medical assistance image data may be transmitted to the doctor terminal 200 and stored in the storage means 240 of the doctor terminal 200, or may be provided in the form of SaaS, with image data not being able to be stored. The contents of the medical assistance image are as described above.

[0085] As described above, with the medical support system 1 according to this embodiment, doctors can refer to a medical support image that shows the subjective symptom information and estimated severity transitions of a heart failure patient on a common time axis along with the measurement data of biological information. Such a screen allows doctors to easily and efficiently grasp the transitions of the patient's condition and their most recent state, preventing inefficient interviews at each consultation and enabling efficient patient diagnosis.

[0086] <Modification> In the above embodiment, when measurements are taken on multiple occasions in one day and the measurement values ​​on multiple occasions are stored in the storage means 130, an example was explained in which the measurement values ​​on a measurement occasion at a preset timing are used as a method for the daily measurement value calculation unit 112 to determine one occasion for calculating the daily heart rate and pulse rate. However, the method for determining one occasion from multiple measurement occasions is not the same as the above. However, the present invention is not limited to this. Specifically, one opportunity may be calculated by other methods such as those described below.

[0087] (Variation 1) For example, the daily measurement value calculation unit 112 may determine a measurement occasion where there is a large discrepancy between the heart rate and pulse rate measured within one of a plurality of measurement occasions as the occasion for calculating the daily heart rate and pulse rate. This makes it possible to clarify the difference between the heart rate and pulse rate plotted in the heart rate and pulse rate information area HP, making it easier to draw the doctor's attention to it.

[0088] (Variation 2) Furthermore, the daily measurement value calculation unit 112 may determine the measurement occasion with the smallest time difference between the measurement times of the heart rate and pulse rate among multiple measurement occasions as the occasion for calculating the daily heart rate and pulse rate. It is assumed that when a healthy person measures their heart rate and pulse rate simultaneously (and accurately), these values ​​will be equal. Therefore, the difference between the heart rate and pulse rate within the same measurement occasion can be used to infer the patient's symptoms or worsening of the pathological condition. For this reason, it is preferable to have a smaller time difference between the measurements of the heart rate and pulse rate (i.e., the closer they are to the same time).

[0089] (Variation 3) Furthermore, if there are multiple measurement opportunities per day and the heart rate or pulse rate is measured multiple times at each opportunity, the daily measurement value calculation unit 112 may determine the measurement opportunity with the smallest difference between the multiple heart rates or pulse rates acquired at each opportunity as the opportunity for calculating the daily heart rate and pulse rate, because such a measurement opportunity is likely to be one in which biological information is measured under more appropriate (less adversely affected) conditions.

[0090] (Variation 4) In addition, the daily measurement value calculation unit 112 may determine a measurement occasion where it has not been detected that the measurement condition may have a negative impact on the heart rate and pulse rate measurement (i.e., a measurement occasion where the measurement value does not contain any additional information indicating such a condition) as one occasion for calculating the daily heart rate and pulse rate.

[0091] <Other> The above examples are merely illustrative of the present invention, and the present invention is not limited to the specific embodiments described above. Various modifications and combinations of the present invention are possible within the scope of its technical concept. For example, while the above embodiments have been described with a single doctor terminal 200 and a single patient terminal 300, the present invention can also be applied to a medical assistance system 2 including multiple doctor terminals 200a-200n and / or multiple patient terminals 300a-300n, as shown in FIG. 13.

[0092] Furthermore, the medical assistance image generating unit 118 may generate a medical assistance image including a list showing the contents of the data table shown in Fig. 3. If a medical assistance image including such a list can be referred to during a medical examination, a doctor can more efficiently ask questions to diagnose the severity of a patient's condition.

[0093] In the above examples, the NYHA classification was used as an example of information indicating the severity of heart failure, but this is not necessarily limited to this. For example, the ACC / AHA (American Heart Association / American College of Cardiology) stage classification may also be used as information indicating the severity. In the above examples, the target disease was heart failure, but the disease to be treated is not limited to this. For example, the present invention can also be applied to the treatment of patients with high blood pressure. [Explanation of symbols]

[0094] 1, 2 Medical support system 100 Server device 110, 210, 310...Control unit 120, 240, 340...Storage means 130, 250, 350...Communication means 200 Doctor's terminal 220, 320...input means 230, 330... Output means 300 Patient terminal 400···Measuring equipment P...patient N···Communication Network OV...Overview information area MM...Minimum METs information W...Weight information area NT: Estimated NYHA classification transition region SB···Estimated severity display bar S···Symptom Information Area ME Medication Information Area BP···Blood Pressure Information Area HP...Heart Rate and Pulse Information Area

Claims

1. a biological information acquiring means for acquiring biological information of a patient to be managed, the biological information including a heart rate and a pulse rate on at least one occasion per day of the patient; a daily measurement value calculation means for calculating one heart rate and one pulse rate of the patient for each day based on the biological information and a predetermined calculation rule; a medical diagnosis support image generating means for generating a medical diagnosis support image including a heart rate and pulse rate graph in which the one heart rate and one pulse rate for each day are plotted in one graph area with time as one axis and beats as the other axis; an output means for outputting the medical assistance image; A medical support system with the following features.

2. The biological information includes the presence or absence of atrial fibrillation, the diagnostic support image generating means generates the diagnostic support image including the heart rate graph on which the heart rate at the time when the atrial fibrillation is detected is also plotted.

2. The medical support system according to claim 1, wherein:

3. the diagnostic support image generating means generates the diagnostic support image in which, if atrial fibrillation is present, a mark indicating that fact is displayed together with the heart rate pulse graph.

3. The medical support system according to claim 2.

4. The biological information acquisition means also acquires whether or not the patient has arrhythmia on a daily basis, the diagnostic support image generating means generates the diagnostic support image by displaying a mark indicating that the arrhythmia has occurred on the heart rate pulse graph when the arrhythmia has occurred. The medical support system according to any one of claims 1 to 3,

5. The daily measurement value calculation means regards the heart rate and pulse rate at one time as the measurement value at one time if no further measurement is made within 10 minutes after the first measurement, and regards the measurement value at one time as the measurement value at one time if further measurement is made within 10 minutes after the first measurement, as the average value of all measurement values ​​made within 10 minutes. The medical support system according to any one of claims 1 to 4,

6. The biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day. In the event that you obtain the daily measurement value calculation means selects one measurement opportunity from the plurality of measurement opportunities, and calculates the one heart rate and the one pulse rate for each day based on the measurement values ​​of the heart rate and the pulse rate at the selected opportunity. The medical support system according to any one of claims 1 to 5,

7. the daily measurement value calculation means selects a measurement opportunity at a predetermined timing as the one opportunity in the day, and calculates the one heart rate and the one pulse rate based on the measurement values ​​measured at the selected opportunity; 7. The medical support system according to claim 6, wherein:

8. the daily measurement value calculation means selects a measurement occasion in which the difference between the heart rate and the pulse rate within one measurement occasion is the largest as the one occasion in the day, and calculates the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion; 7. The medical support system according to claim 6, wherein:

9. the daily measurement value calculation means selects a measurement occasion in which the time difference between the measurement times of the heart rate and the pulse rate within one measurement occasion is smallest as the one occasion in the day, and calculates the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion; 7. The medical support system according to claim 6, wherein:

10. When the biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day and acquires a plurality of the heart rate or the pulse rate at each occasion, the daily measurement value calculation means selects a measurement occasion in the day in which a difference between the plurality of heart rates or the plurality of pulse rates acquired at each occasion is smallest, and calculates the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion; 7. The medical support system according to claim 6, wherein:

11. The biological information acquiring means also acquires information regarding whether or not a measurement condition that may adversely affect the heart rate and pulse rate was present when the heart rate and pulse rate were measured. The medical support system according to any one of claims 1 to 10,

12. If the heart rate and pulse rate displayed on the heart rate / pulse graph are calculated using measured values ​​obtained under a measurement condition that may adversely affect the values, the diagnostic support image generating means generates the diagnostic support image including the heart rate / pulse graph in a manner that indicates this fact. The medical support system according to claim 11 .

13. The biological information acquiring means also acquires information regarding whether or not a measurement condition that may adversely affect the heart rate and pulse rate was present when the heart rate and pulse rate were measured, When the biological information acquisition means acquires the heart rate and the pulse rate at a plurality of measurement occasions per day, the daily measurement value calculation means selects a measurement occasion in the day when there is no information indicating that the measurement conditions at the time of measuring the heart rate and the pulse rate were likely to adversely affect the measurements, and calculates the one heart rate and the one pulse rate based on the measurement values ​​measured at that occasion.

7. The medical support system according to claim 6, wherein:

14. The medical support system according to any one of claims 1 to 13, comprising: the biological information acquiring means; the daily measurement value calculating means; and the medical support image generating means. A medical support device that forms part of the system.

15. A program for causing a computer to function as the medical support device of claim 14.

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