Information processing device, information processing method, and program

Abstract

The present invention monitors whether an exercise prescription (for example, exercise amount, exercise intensity, and exercise frequency) presented by a doctor is being followed even outside of a hospital, and supports the exercise. A server 1 supports rehabilitation for a disease and comprises a patient information acquisition unit 51 and a patient information presentation unit 53. The patient information acquisition unit 51 acquires the value of a first index (the number of steps or the like) of exercise amount and the value of a second index (a heart rate or the like) of exercise intensity with respect to a predetermined exercise imposed on the patient as rehabilitation for the disease. The patient information presentation unit 53 presents, as support information for supporting rehabilitation for the disease, the number of steps for achieving a target heart rate of the patient including a combination of the acquired number of steps and heart rate (for example, the number of steps walked at a heart rate of 100 bpm or more).

Description

Information processing device, information processing method, and program

[0001] The present invention relates to an information processing device, an information processing method, and a program.

[0002] For example, exercise therapy is considered to be effective for treating organ diseases such as heart failure. Conventionally, there is a technique in which a doctor performs exercise therapy on a patient with the disease (see, for example, Patent Document 1).

[0003] Patent No. 6855561

[0004] However, the above-mentioned conventional technologies are exercise therapy techniques that are carried out only within a hospital under the supervision of a doctor or medical professional. Exercise therapy outside of hospitals (outside of consultation hours) is mainly based on self-management by the patient, and doctors do not adequately evaluate or support the exercise prescription, meaning there is no way to confirm whether the patient has actually been able to fully practice the exercise.

[0005] The present invention was made in consideration of such circumstances, and aims to monitor whether exercise prescriptions presented by doctors are being properly complied with even outside the hospital, and to provide support for exercise.

[0006] In order to achieve the above object, one embodiment of the information processing device of the present invention is an information processing device that supports rehabilitation for a disease, and comprises: an exercise index acquisition means that acquires a first index value of exercise amount and a second index value of exercise intensity for a predetermined exercise that is imposed on a patient as rehabilitation for the disease; and a patient information presentation means that presents information about the patient that includes a combination of the acquired first index value and second index value as support information to support rehabilitation for the disease.

[0007] An information processing method and a program according to one aspect of the present invention are respectively an information processing method and a program corresponding to the information processing device according to the above-described one aspect of the present invention.

[0008] According to the present invention, it is possible to monitor whether a patient is properly adhering to an exercise prescription provided by a doctor even outside the hospital, and to provide support for the patient's exercise.

[0009] FIG. 1 is an image diagram showing an overview of this service to which an embodiment of an information processing device of the present invention is applied. FIG. 2 is a diagram showing an example of a system configuration of an information processing system applied to this service of FIG. 1, i.e., an information processing system including a server of an embodiment of an information processing device according to the present invention. FIG. 3 is a diagram showing an example of a hardware configuration of a server in the information processing system of FIG. 2. FIG. 4 is a functional block diagram showing an example of a functional configuration of a server having the hardware configuration shown in FIG. 3. FIG. 4 is a diagram showing a screen of a patient app displayed on the patient terminal of FIG. 2. FIG. 5 is a diagram showing a doctor confirmation screen of a doctor app displayed on the doctor terminal of FIG. 2. FIG. 5 is a diagram showing the flow of this service to which the information processing system of FIG. 2 is applied. FIG. 6 is a diagram showing an example of a visualization of the number of steps required to achieve a target heart rate, which is a combination of heart rate and number of steps.

[0010] First, before describing an embodiment of an information processing device of the present invention, an overview of a service to which the embodiment of the information processing device is applied (hereinafter referred to as "this service") will be described with reference to FIG.

[0011] In this service, the service provider registers patients with diseases such as heart failure and doctors as users, and provides a service to support patients in exercising outside the hospital in accordance with the exercise prescription prescribed by their doctor.

[0012] Specifically, as shown in Figure 1, after a patient undergoes an examination (such as an exercise stress test) at a hospital, the doctor prescribes an exercise program including steps, heart rate, resistance exercise, etc., and the patient exercises for one month. During this month, the service provider monitors the patient's condition (e.g., vital data such as steps, heart rate, etc.) outside the hospital (e.g., at home) using a wearable device (patient device) worn by the patient, and suggests exercise (such as the amount and intensity of exercise) according to the monitored condition.

[0013] The wearable device is configured, for example, by combining a wristwatch-type activity measurement device with a smartphone equipped with a function for communicating with the device. A patient app provided by a service provider is installed on the smartphone. The patient's vital signs are measured by the wearable device and provided to the service provider via the smartphone's patient app for monitoring. The patient also reports their daily weight and disease symptoms to the service provider over the course of a month using the KCCQ or a diary. The KCCQ is an abbreviation for The Kansas City Cardiomyopathy Questionnaire, a questionnaire used to evaluate the quality of life of patients with heart failure.

[0014] Once the patient has completed the one-month exercise regimen, they return to the hospital for a doctor's examination, and based on the monitoring results provided to them by the service provider and reports from the patient (KCCQ, diary, weight, etc.), the doctor makes a final decision and prescribes the next month's exercise regimen. This process is then repeated.

[0015] In this way, by monitoring whether the patient is properly adhering to the exercise prescription given to them by the doctor even outside the hospital, supporting the patient's exercise, and suggesting the next amount of exercise based on the exercise the patient has done in the past month, it is possible to improve the patient's symptoms.

[0016] Next, the configuration of an information processing system applied to the present service of Fig. 1 will be described with reference to Fig. 2. Fig. 2 is a diagram showing an example of the system configuration of an information processing system applied to the present service of Fig. 1, i.e., an information processing system including a server of an embodiment of an information processing device according to the present invention.

[0017] The information processing system of Fig. 2 is configured to include a server 1, a patient device 2, and a doctor terminal 3. The server 1, the patient device 2, and the doctor terminal 3 are connected to each other so as to be able to communicate with each other via a predetermined network N such as the Internet. The form of the network N is not particularly limited, and may be, for example, Bluetooth (registered trademark), Wi-Fi (registered trademark), a LAN (Local Area Network), the Internet, or the like.

[0018] The server 1 is an information processing device managed by a service provider, and provides information to users such as patients and doctors. The server 1 executes various control processes to support rehabilitation of diseases while appropriately communicating with the patient device 2 and the doctor terminal 3.

[0019] The patient device 2 is a terminal that accepts operations by users of the service, such as patients, and is an information processing device that combines, for example, a smartphone and a sensor device, such as a smartwatch, which is a wristwatch-type activity measurement device. The patient device 2 measures vital signs of the patient wearing the device and transmits them to the server 1 at a predetermined timing. The patient device 2 transmits to the server 1 text data of the patient's diary entry and answers to the KCCQ, describing the state of the disease as felt by the patient after implementing the exercise prescription prescribed by the doctor. The patient device 2 also receives exercise prescription data, suggestions regarding the exercise prescription, and support information for disease rehabilitation from the server 1, and presents them to the patient by displaying them on the screen of the patient app. Note that, hereinafter, when there is no need to distinguish between the individual patient devices 2, they will be collectively referred to as the "patient device 2."

[0020] The doctor terminal 3 is a terminal that accepts operations by doctors who are users of this service, and is, for example, an information processing device such as a personal computer, tablet, smartphone, etc. The doctor terminal 3 receives the patient's out-of-office hours data transmitted (output) from the server 1 via the network N and displays it on the screen of the doctor app.

[0021] In this embodiment, as an example of collaboration between the patient device 2 and the server 1, a first method is adopted in which the patient device 2 accesses the server 1's website and displays the website. According to the first method, the patient device 2 communicates with the server 1 as needed and has the server 1 execute key processing. However, the method for realizing this service through collaboration between the patient device 2 and the server 1 is not limited to the first method. For example, a second method can be adopted as a "collaboration" method in which the patient device 2 downloads and installs a dedicated application software program (hereinafter abbreviated as "app") in advance from the server 1 or a device under its management (not shown) and executes the application. Furthermore, a method that appropriately combines the first and second methods can also be adopted as a "collaboration" method. However, for convenience of explanation, the following example will be described assuming that the first method is adopted as the "collaboration" method. That is, in the following example, the server 1 is designated as the entity responsible for the processing, but this is merely an example. It goes without saying that the patient device 2 or the doctor terminal 3 may be used as appropriate in actual implementation.

[0022] In this example, the server 1 executes the main processing, so the hardware configuration and functional configuration of the server 1 will be described below, focusing on the server 1 in the information processing system of FIG.

[0023] First, an example of the hardware configuration of a server constituting the above-described information processing system will be described with reference to Fig. 3. Fig. 3 is a block diagram showing the hardware configuration of a server according to an embodiment of the information processing apparatus of the present invention.

[0024] The server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an output unit 16, an input unit 17, a memory unit 18, a communication unit 19, and a drive 20.

[0025] The CPU 11 executes various processes according to programs recorded in the ROM 12 or programs loaded from the storage unit 18 into the RAM 13. The RAM 13 also stores data and the like necessary for the CPU 11 to execute various processes.

[0026] The CPU 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output interface 15 is also connected to this bus 14. An output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20 are connected to the input / output interface 15.

[0027] The output unit 16 is configured with a display such as a liquid crystal display device, a printer, a speaker, etc., and outputs various information. The input unit 17 is configured with input devices such as a keyboard and a mouse, and various information is input. The storage unit 18 is configured with a DRAM (Dynamic Random Access Memory) etc., and stores various data. The communication unit 19 communicates with other devices (e.g., the patient device 2 and the doctor terminal 3 in FIG. 2 ) via a network N including the Internet.

[0028] Removable media 30, such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, is appropriately attached to the drive 20. Programs read from the removable media 30 by the drive 20 are installed in the storage unit 18 as needed. The removable media 30 can also store various data stored in the storage unit 18 in the same way as the storage unit 18.

[0029] Next, the functional configuration of a server having the hardware configuration of Fig. 3 will be described with reference to Fig. 4. Fig. 4 is a functional block diagram showing an example of the functional configuration of a server having the hardware configuration of Fig. 3.

[0030] 4, a patient information acquisition unit 51, a new index generation unit 52, a patient information presentation unit 53, and a proposal creation unit 54 function in the CPU 11 of the server 1. A DB 61 is provided in one area of ​​the storage unit 18 of the server 1.

[0031] The patient information acquisition unit 51 acquires the step count (first index of exercise amount) and heart rate (second index of exercise intensity) values ​​for an exercise prescription (prescribed exercise) prescribed to a patient as rehabilitation for a disease such as heart failure, and stores the step count and heart rate values ​​in the DB 61 in association with the respective measurement times. Specifically, the patient information acquisition unit 51 acquires vital data including the step count and heart rate values ​​for an exercise prescription (e.g., walking exercise, such as strolling for two hours or more per day) prescribed to a patient as rehabilitation for a disease such as heart failure, and stores the vital data in the DB 61 in association with the measurement times. The patient information acquisition unit 51 also acquires a fourth index (number of times) indicating the frequency with which the exercise intensity for the prescribed exercise exceeded a predetermined heart rate threshold (100 bpm). Furthermore, the patient information acquisition unit 51 acquires patient reports (e.g., KCCQ, diary, weight, etc.) and stores them in the DB 61.

[0032] Based on the acquired step count and heart rate values, the new indicator generation unit 52 generates a new third indicator, the number of steps required to achieve the target heart rate (actual exercise information), which combines the step count and heart rate. Specifically, the new indicator generation unit 52 generates the number of steps required to achieve the patient's target heart rate, based on the number of steps taken when the heart rate value stored in DB 61 is, for example, 100 bpm (a heart rate threshold value previously set in DB 61) or higher, and stores this in DB 61 in association with the measurement time of the vital data. Note that, although the heart rate threshold is set to 100 bpm here, this threshold value is an example and may be a value prescribed according to the patient's condition.

[0033] The patient information presenting unit 53 presents the number of steps to achieve the target heart rate (a new third index value), which is information on the patient's actual exercise implementation and includes a combination of the acquired number of steps and heart rate values, as support information to support rehabilitation for the disease. Furthermore, when the patient information acquiring unit 51 acquires the value (number of times) of the frequency (fourth index) at which the exercise intensity of the exercise prescription exceeded a heart rate threshold (e.g., 100 bpm), the patient information presenting unit 53 presents patient information including the value and number of steps to achieve the target heart rate in addition to the acquired combination of the number of steps and heart rate values ​​as support information in the form of a bar graph (see Figures 5 and 6, etc.) on the patient app screen, doctor confirmation screen, etc.

[0034] The proposal creation unit 54 creates a proposal regarding an exercise prescription to be administered to the patient from the next time onward based on machine learning, a determination rule, or the like (a predetermined algorithm) using a combination of the acquired step count value and heart rate value, and stores the proposal in the DB 61. The exercise prescription proposal may include, for example, a target number of steps per day, a target heart rate per day, and a target number of exercises per day. The proposal creation unit 54 also creates a proposal based on a predetermined algorithm that uses the content of the KCCQ from the patient in addition to the combination of the acquired step count value and heart rate value. The KCCQ is used by reading out the KCCQ acquired from the patient and stored in the DB 61.

[0035] Here, the patient app screen and the doctor confirmation screen will be described with reference to Fig. 5 and Fig. 6. Fig. 5 is a diagram showing the patient app screen displayed on the patient terminal of Fig. 2. Fig. 6 is a diagram showing the doctor confirmation screen of the doctor app displayed on the doctor terminal of Fig. 2.

[0036] As shown in FIG. 5A , the patient app screen includes a section for sending a doctor's message, a section for entering personal goals, a section for displaying today's status, a display of weight and weight difference from the previous time, and a section for entering a daily diary. Link buttons for today's record and weekly record are also provided. The today's status display section includes multiple resistance exercise symbols and a bar graph of step counts. Of the multiple resistance exercise symbols, the symbols for resistance exercises that have been performed are color-coded. The bar graph of step counts is color-coded. In particular, the yellow or other colored portions (the shaded portions in FIG. 5 ) represent the number of steps required to achieve the target heart rate. For example, if a patient walks 4,800 steps in a day, and 3,100 steps are yellow, these 3,100 steps represent the number of steps the patient walked at or above the target heart rate as prescribed by the doctor, and are considered to be an amount of exercise that is substantially effective against the disease.

[0037] Here, clicking the link button for the weekly record displays a link page titled "Exercise Record," as shown in FIG. 5B. This link page displays a calendar, a column for the number of steps, this week's resistance exercise, weight changes, and the like. In the calendar, the message, etc., is displayed as an icon in the column for the day on which the message was sent. In the column for the number of steps, the number of steps for that day, e.g., 4,500 steps, is displayed as a goal, along with a bar graph showing the number of steps per day. Each bar graph in this column also shows the portion of the number of steps required to achieve the target heart rate, which is colored yellow (diagonally shaded in FIG. 6), and this portion of the number of steps is considered to be the amount of exercise that is substantially effective against the disease.

[0038] Next, the doctor confirmation screen of the doctor app will be described. As shown in FIG. 6 , the doctor confirmation screen of the doctor app is a large PC screen, and displays the patient's activity data for one month at home using a bar graph. The upper part of the doctor confirmation screen of the doctor app displays the patient's daily target number of steps: 4,500 steps and daily target heart rate: 100 bpm. The bar graphs on the doctor confirmation screen are arranged in chronological order at predetermined intervals. Each bar graph displays the number of steps measured in one day and the number of steps walked at 100 bpm or more (the number of steps required to achieve the target heart rate) in different colors. The two bar graphs on the left side of the screen show the amount of exercise for the previous week and this week, and are displayed as compressed values ​​for each week, allowing the amount of exercise for the previous week and this week to be compared. Weight is displayed as a line graph overlaid on the daily bar graph, allowing weight trends to be seen at a glance. In addition, the doctor confirmation screen of the doctor app clearly shows whether or not the patient has engaged in resistance exercise each day and whether or not they have written in a diary using color-coded icons.

[0039] The doctor confirmation screen of the doctor app displays the number of steps to achieve the target heart rate (the yellow part of the bar graph (the shaded part in Figure 6)), a new parameter that combines heart rate and step count, making it possible to see at a glance how much walking exercise is actually effective for treating the disease. Also, by displaying the number of steps to achieve the target heart rate (as a separate area of ​​the bar graph) together with the total number of steps taken that day, it is possible to visualize how much exercise the patient performed at a certain level of intensity or above.

[0040] As described above, according to the information processing system of this embodiment, the server 1 acquires vital data of the patient from the patient device 2 worn by the patient, and presents as support information the number of steps required to achieve the patient's target heart rate (e.g., the number of steps walked at a heart rate of 100 bpm or more) for the prescribed exercise imposed on the patient, which includes a combination of the number of steps and the heart rate value contained in the vital data. This makes it possible to monitor whether the patient is properly adhering to the exercise prescription (e.g., the target number of steps per day, the target heart rate per day, the target number of exercises per day, etc.) presented by the doctor, even outside the hospital, and to support rehabilitation of the disease (effective exercise).

[0041] The flow of this service to which the information processing system of Fig. 2 is applied will be described with reference to Fig. 7. Fig. 7 is a diagram showing the flow of this service to which the information processing system of Fig. 2 is applied. In the case of this information processing system, in step S1, a patient visits a doctor for outpatient treatment, for example, once a month (once / month).

[0042] During an outpatient visit, in step S2, the doctor examines the patient and performs an exercise stress test, such as a cardiopulmonary exercise stress test, to determine an appropriate heart rate threshold for the patient. The exercise stress test preferably measures the anaerobic metabolic threshold and the lactate threshold, and the exercise stress is preferably incremental exercise. The doctor also provides feedback on the exercise therapy based on data entered by the patient outside of consultation hours.

[0043] Then, in step S3, the doctor enters the patient's exercise prescription data (e.g., target number of steps per day, target heart rate per day, target number of exercises per day, etc.) into the exercise prescription input field on the doctor app screen of the doctor terminal 3, and the data is sent to the patient device 2 via the server 1 and stored therein.

[0044] When the patient returns home from the outpatient visit and opens the patient app screen, the exercise prescription data will be set in the patient app, and the patient can then practice exercise therapy at home according to the exercise prescription.

[0045] In step S4, when the patient is undergoing exercise therapy and vital data (number of steps, heart rate, etc.) measured by the smartwatch or the patient opens the patient app screen on their smartphone and enters KCCQ, diary, weight data, etc., the patient device 2 transmits this as out-of-consultation data to the server 1. Note that app usage data such as vital data is automatically transmitted at a predetermined time (when the smartphone and smartwatch are wirelessly connected, at a preset time each day, etc.).

[0046] In step S5, the server 1 sends an exercise support push notification three times a day to the patient device 2. The exercise support push notification includes, for example, notification of the current number of steps, the frequency with which the target heart rate was achieved, etc. at times such as 12:00, 15:00, and 6:00. The exercise support push notification also includes messages such as resetting the amount of exercise each week and guidance for improving heart failure.

[0047] Next, in step S6, the data on the out-of-consultation hours is provided from the server 1 to the doctor terminal 3 of the doctor in charge of the patient. The data on the out-of-consultation hours is used for examining the patient the next time the patient visits the doctor for an outpatient consultation in step S1.

[0048] In this way, with this service, exercise support push notifications are sent to patients at home periodically after they have seen a doctor, which makes them constantly aware of the importance of exercise and encourages them to exercise every day. In addition, data on the patient's activities at home outside of clinic hours is provided to the doctor via server 1, allowing the doctor to know the patient's activity status outside of clinic hours, and the doctor can provide the patient with appropriate exercise therapy feedback based on the data outside of clinic hours.

[0049] Next, the effect of visualizing the number of steps to achieve a target heart rate by combining the heart rate and the number of steps will be described with reference to Fig. 8. Fig. 8 is a diagram showing an example of visualizing the number of steps to achieve a target heart rate by combining the heart rate and the number of steps.

[0050] Table 81 shown in Figure 8 shows the heart rate and step count data overlaid on the horizontal axis, with time on the horizontal axis and heart rate and step count on the vertical axis. Table 81 shows that the patient walked and the number of steps was measured between approximately 7:30 and just after 10:00, but the heart rate during that time only rose to a maximum of 90 bpm, which is below the target heart rate of 100 bpm and indicates that the exercise intensity required for rehabilitation is insufficient. Furthermore, the patient walked and the number of steps was measured between approximately 7:00 and 8:30 p.m., and the heart rate during that time rose to the 110 bpm range, indicating that the patient was exercising at the intensity required for rehabilitation, i.e., the exercise intensity was sufficient. The server 1 counts the number of steps during this period as the number of steps required to achieve the target heart rate.

[0051] Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc. within the scope of achieving the object of the present invention are included in the present invention.

[0052] For example, the functional block diagram shown in Fig. 4 is merely an example and is not particularly limited. That is, it is sufficient that the information processing system in Fig. 2 is provided with a function that can execute the above-described series of processes as a whole, and the functional blocks and databases used to realize this function are not particularly limited to the example in Fig. 4.

[0053] Furthermore, the locations of the functional blocks and databases are not limited to the example in Fig. 4 and may be arbitrary. Furthermore, one functional block and database may be configured as a single piece of hardware, a single piece of software, or a combination thereof.

[0054] For example, in the above-described embodiment, the patient information acquisition unit 51 to the proposal creation unit 54 shown in Fig. 4 are provided on a so-called cloud server 1. Specifically, for example, although only one server 1 is shown in Figs. 2 and 4, any of the patient information acquisition unit 51 to the proposal creation unit 54 may be arranged on a plurality of servers 1, and the servers may be communicably connected to each other via a network N to realize the present service.

[0055] In the above-described embodiment, vascular diseases such as heart failure were given as an example of a disease, but the disease is not limited to this and may be any disease that can be expected to improve with appropriate exercise.

[0056] In addition, in the above-described embodiment, examples of information presented on the doctor terminal 3 and the patient device 2 include the number of steps, heart rate, number of steps required to achieve the target heart rate, and number of times, but it is not necessary to display all of these at once; the necessary information can be displayed according to the user's operation or as needed.

[0057] In the above-described embodiment, heart rate is used as an example of the second index of exercise intensity. However, this is merely an example. For example, since walking speed and heart rate are known to have a certain relationship, walking speed or a heart rate estimated from walking speed may be used as the value of the second index. Furthermore, pulse rate may be used as a second index of exercise intensity other than heart rate. Alternatively, the patient may use a bicycle-like rehabilitation device at home, and the number of rotations of the pedals to rotate the rotation shaft and the pedaling force may be used as the first index of exercise amount and the second index of exercise intensity, respectively.

[0058] In the above embodiment, a wristwatch-type device is exemplified as an example of the patient device 2, but the patient device 2 is not limited to a wristwatch-type device. In addition, the patient device 2 may be, for example, an electrocardiograph or a ring-type device.

[0059] In the above embodiment, the number of steps was used as an example of the first indicator of the amount of exercise, but the exercise using the feet when measuring the amount of exercise can be, for example, walking, jogging, or exercise such as pedaling with the feet, or a combination of these, as long as it is exercise using the feet.

[0060] When the processing of each functional block and database is performed by software, the programs constituting the software are installed onto a computer or the like from a network or a recording medium. The computer may be a computer incorporated into dedicated hardware. The computer may also be a computer capable of performing various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0061] The recording medium containing such a program may not only be composed of removable media that is distributed separately from the device itself in order to provide the program to each user, but may also be composed of recording media that are provided to each user in a state where they are pre-installed in the device itself.

[0062] In other words, an information processing device to which the present invention is applied is only required to have the following configuration, and can take various forms. That is, an information processing device (e.g., server 1 in FIG. 4 ) of one aspect of the present invention is an information processing device (e.g., server 1 in FIG. 4 ) that supports rehabilitation for a disease (e.g., heart failure, etc.), and includes: exercise index acquisition means (e.g., patient information acquisition unit 51 in FIG. 4 ) that acquires a first index of exercise amount (e.g., number of steps, etc.) and a second index of exercise intensity (e.g., heart rate or pulse rate, etc.) for a predetermined exercise imposed on a patient as rehabilitation for the disease, and patient information presentation means (e.g., patient information presentation unit 53 in FIG. 4 ) that presents exercise implementation information of the patient (e.g., number of steps to achieve a target heart rate, etc.) including a combination of the acquired value of the first index (e.g., number of steps, etc.) and the acquired value of the second index (e.g., heart rate or pulse rate, etc.) as support information for supporting rehabilitation for the disease. In this way, by obtaining the value of a first indicator of the amount of exercise (e.g., the number of steps) and the value of a second indicator of the intensity of exercise (e.g., heart rate or pulse rate) for the specified exercise imposed on the patient, and presenting the patient's exercise implementation information (e.g., the number of steps required to achieve a target heart rate) including a combination of the value of the first indicator (e.g., the number of steps) and the value of the second indicator (e.g., heart rate or pulse rate) as support information to support disease rehabilitation, it is possible to monitor whether the exercise prescription presented by the doctor (e.g., the target number of steps per day, the target heart rate per day, the target number of exercises per day, etc.) is being properly complied with even outside the hospital, and to support disease rehabilitation (effective exercise).

[0063] The predetermined exercise may be exercise using the feet (walking, jogging, etc.), and the exercise index acquisition means (e.g., patient information acquisition unit 51 in FIG. 4 ) may acquire, as the first index value and the second index value, the amount of exercise related to the feet and vital signs of the circulatory system of the patient, detected by one or more predetermined devices. The amount of exercise related to the feet may include, for example, the number of steps, distance traveled, etc. The vital signs of the circulatory system may include, for example, heart rate, pulse rate, etc.

[0064] The information processing device (e.g., server 1 in FIG. 4 ) further includes a new index generating means (e.g., new index generating unit 52 in FIG. 4 ) that generates a value (number of steps to achieve target heart rate) of a new third index (the shaded portion of the bar graphs in FIGS. 5 and 6 : e.g., the number of steps walked with a heart rate of 100 bpm or more) by combining the first index (e.g., number of steps) and the second index (e.g., heart rate or pulse rate) based on the acquired values ​​of the first index and the second index, and the patient information presenting means (e.g., patient information presenting unit 53 in FIG. 4 ) can present the value of the third index (the shaded portion of the bar graphs in FIGS. 5 and 6 ) (e.g., the number of steps the patient actually took to exercise while putting a strain on the body (heart)) as the support information.

[0065] The device may further comprise a proposal creation means (e.g., proposal creation unit 54 in FIG. 4 ) that creates a proposal (e.g., a target number of steps per day, a target heart rate per day, etc.) regarding the specified exercise to be performed on the patient from the next time onwards, based on a predetermined algorithm that uses a combination of the acquired value of the first indicator (e.g., number of steps, etc.) and the value of the second indicator (e.g., heart rate or pulse rate, etc.).

[0066] The proposal creation means (e.g., proposal creation unit 54 in Figure 4) can create the proposal based on the combination of the acquired first index value and second index value, as well as the specified algorithm (e.g., AI or proposal generation rules, etc.) that uses the contents of the report (e.g., KCCQ, etc.) from the patient.

[0067] The exercise index acquisition means (e.g., patient information acquisition unit 51 in FIG. 4) further acquires the value of a fourth index (e.g., number of times, etc.) that indicates the frequency at which the exercise intensity for the specified exercise becomes greater than a predetermined value (e.g., a heart rate of 100 bpm or greater), and the patient information presentation means (e.g., patient information presentation unit 53 in FIG. 4) can present, as the support information (e.g., bar graphs on the patient app screen and doctor confirmation screen), information about the patient (heart rate, number of steps, number of steps to achieve target heart rate, number of times) that further includes the value of the third index (new yellow parameter: number of steps to achieve target heart rate) in addition to a combination of the acquired value of the first index (e.g., number of steps, etc.) and the value of the second index (e.g., heart rate or pulse rate, etc.).

[0068] An information processing method executed by an information processing device of one aspect of the present invention is an information processing method executed by an information processing device (e.g., server 1) that supports rehabilitation for a disease, and can include: an exercise index acquisition step of acquiring a value of a first index of exercise amount (e.g., number of steps, etc.) and a value of a second index of exercise intensity (e.g., heart rate or pulse rate, etc.) for a predetermined exercise (e.g., exercise prescription, etc.) that is imposed on a patient as rehabilitation for the disease (e.g., heart failure, etc.); and a patient information presentation step of presenting the patient's exercise implementation information (e.g., number of steps to achieve a target heart rate, etc.) including a combination of the acquired value of the first index (e.g., number of steps, etc.) and the value of the second index (e.g., heart rate or pulse rate, etc.) as support information to support rehabilitation for the disease.

[0069] A program according to one aspect of the present invention can cause a computer that supports rehabilitation for a disease to execute control processing including: an exercise index acquisition step of acquiring a value of a first index of exercise amount (e.g., number of steps, etc.) and a value of a second index of exercise intensity (e.g., heart rate or pulse rate, etc.) for a predetermined exercise (e.g., exercise prescription, etc.) that is imposed on a patient as rehabilitation for the disease (e.g., heart failure, etc.); and a patient information presentation step of presenting exercise implementation information of the patient (e.g., number of steps to achieve a target heart rate, etc.) that includes a combination of the acquired value of the first index (e.g., number of steps, etc.) and the value of the second index (e.g., heart rate or pulse rate, etc.) as support information to support rehabilitation for the disease.

[0070] 1...server, 2, 2-1 to 2-n...patient devices, 3...doctor terminal, 11...CPU, 12...ROM, 13...RAM, 14...bus, 15...input / output interface, 16...output unit, 17...input unit, 18...storage unit, 19...communication unit, 20...drive, 51...patient information acquisition unit, 52...new index generation unit, 53...patient information presentation unit, 54...proposal creation unit, 61...DB, N...network

Claims

1. An information processing device for supporting rehabilitation of a disease, comprising: an exercise index acquisition means for acquiring a first index value of the amount of exercise and a second index value of the exercise intensity for a specified exercise imposed on a patient as rehabilitation for the disease; and a patient information presentation means for presenting exercise implementation information of the patient, including a combination of the acquired first index value and second index value, as support information for supporting the rehabilitation of the disease.

2. The information processing device of claim 1, wherein the specified exercise is exercise using the legs, and the exercise index acquisition means acquires the amount of exercise related to the patient's legs and vital signs of the circulatory system detected by one or more specified devices as the value of the first index and the value of the second index, respectively.

3. The information processing device according to claim 1, further comprising a new index generating means for generating a new third index value by combining the first index and the second index based on the acquired values ​​of the first index and the second index, wherein the patient information presenting means presents the value of the third index as the support information.

4. The information processing device of claim 1, further comprising a proposal creation means for creating a proposal regarding the specified exercise to be imposed on the patient from the next time onwards, based on a specified algorithm using a combination of the acquired values ​​of the first and second indicators.

5. The information processing device according to claim 4, wherein the proposal creation means creates the proposal based on the specified algorithm using the contents of a report from the patient in addition to a combination of the acquired values ​​of the first and second indexes.

6. The information processing device of claim 1, wherein the exercise index acquisition means further acquires a fourth index value representing the frequency at which the exercise intensity for the specified exercise is equal to or higher than a specified value, and the patient information presentation means presents information about the patient including the third index value in addition to a combination of the acquired first index value and second index value as the support information.

7. An information processing method executed by an information processing device that supports disease rehabilitation, the information processing method including: an exercise index acquisition step of acquiring a first index value of exercise amount and a second index value of exercise intensity for a specified exercise imposed on a patient as rehabilitation for the disease; and a patient information presentation step of presenting exercise implementation information of the patient, including a combination of the acquired first index value and second index value, as support information for supporting the rehabilitation of the disease.

8. A program for causing a computer that supports disease rehabilitation to execute control processing including: an exercise index acquisition step for acquiring a first index value of exercise amount and a second index value of exercise intensity for a specified exercise imposed on a patient as part of the rehabilitation for the disease; and a patient information presentation step for presenting exercise implementation information of the patient, including a combination of the acquired first index value and second index value, as support information for supporting the rehabilitation of the disease.

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