Information processing device, information processing method, and computer program

Abstract

This information processing device is provided with a recommended rehabilitation processing unit, an actual-results information acquisition unit, and a nudge processing unit. The recommended rehabilitation processing unit acquires recommended rehabilitation information indicating recommended rehabilitation for a patient suffering from a disease, and outputs the recommended rehabilitation information in such a manner that the patient can perceive the recommended rehabilitation. The actual-results information acquisition unit acquires rehabilitation actual-results information indicating the status of performance of rehabilitation by the patient. The nudge processing unit executes, on the basis of the recommended rehabilitation information and the rehabilitation actual-results information, nudge processing for prompting the patient to perform behavioral economics-based appropriate rehabilitation.

Description

Information processing device, information processing method, and computer program

[0001] The technology disclosed herein relates to information processing about diseases.

[0002] Interstitial pneumonia (IP) is a general term for chronic, progressive fibrotic lung diseases. Acute exacerbation of interstitial pneumonia is a condition in which the condition rapidly worsens within one month, and the prognosis is extremely poor, with an in-hospital mortality rate of approximately 50%.

[0003] For patients with interstitial pneumonia, daily rehabilitation (hereinafter abbreviated as "rehabilitation") is expected to improve prognosis and quality of life (QoL). However, the number of medical professionals who can provide rehabilitation guidance is limited, and the implementation of daily rehabilitation at home is left up to the patient, so rehabilitation is often not carried out continuously. Furthermore, rehabilitation does not necessarily have to be performed frequently and at a high intensity; it is preferable to adjust the intensity or frequency according to the patient's condition.

[0004] In order to motivate users to engage in rehabilitation, a technology has been proposed that acquires the user's biometric information using a sensor, estimates the user's condition based on the acquired biometric information, and displays information according to the estimated user's condition (see, for example, Patent Document 1).

[0005] Japanese Patent Application Laid-Open No. 2021-33442

[0006] The above-mentioned conventional techniques have room for improvement in terms of effectively encouraging patients to undergo appropriate rehabilitation. Note that this issue is not limited to rehabilitation for interstitial pneumonia, but is a common issue in rehabilitation for diseases in general.

[0007] This specification discloses a technique that can solve the above-mentioned problems.

[0008] The technology disclosed in this specification can be realized, for example, in the following forms.

[0009] (1) The information processing device disclosed in this specification includes a recommended rehabilitation processing unit, a performance information acquisition unit, and a nudge processing unit. The recommended rehabilitation processing unit acquires recommended rehabilitation information indicating recommended rehabilitation for a patient suffering from a disease and outputs the recommended rehabilitation in a manner perceptible to the patient. The performance information acquisition unit acquires rehabilitation performance information indicating the status of rehabilitation implementation by the patient. The nudge processing unit executes nudge processing to encourage the patient to implement appropriate rehabilitation based on behavioral economics, based on the recommended rehabilitation information and the rehabilitation performance information.

[0010] In this information processing device, the nudge processing unit executes nudge processing that encourages the patient to perform appropriate rehabilitation from a behavioral economics perspective, based on recommended rehabilitation information indicating recommended rehabilitation and rehabilitation performance information indicating the patient's rehabilitation implementation status. Therefore, with this information processing device, it is possible to effectively encourage the patient to perform appropriate rehabilitation, taking into account the patient's rehabilitation implementation status.

[0011] (2) In the information processing device, the nudge processing unit may be configured to perform the nudge processing by outputting nudge information that prompts the patient to perform appropriate rehabilitation in a manner that the patient can perceive. With this configuration, the patient can be effectively prompted to perform appropriate rehabilitation by outputting the nudge information.

[0012] (3) In the information processing device, the nudge information may include information recommending that the patient reduce the amount of rehabilitation performed. With this configuration, if the intensity or frequency of the patient's rehabilitation is excessive, the nudge information may recommend that the patient reduce the amount of rehabilitation performed, thereby preventing the patient from performing excessive rehabilitation.

[0013] (4) The information processing device may further include a condition information acquisition unit that continuously acquires objective condition information and subjective condition information of the patient, and the recommended rehabilitation processing unit may continuously set the recommended rehabilitation based on the objective condition information and the subjective condition information using a predetermined information processing method. With this configuration, an appropriate recommended rehabilitation can be set according to the patient's daily objective and subjective conditions, and the patient can be effectively encouraged to perform appropriate rehabilitation in accordance with the recommended rehabilitation.

[0014] (5) In the information processing device, the objective condition information may include an initial analysis result that is executed by another information processing device based on medical information from the hospital and that is composed of at least one of a diagnosis estimation result, a progress prediction result, and a treatment prediction result. With this configuration, a more appropriate recommended rehabilitation can be set based on the objective condition information that includes the initial analysis result that is considered to be relatively accurate, and the patient can be effectively encouraged to perform appropriate rehabilitation in accordance with the recommended rehabilitation.

[0015] (6) In the information processing device, the objective condition information may include biological information of the patient measured using a measuring device on the patient side. With this configuration, it is possible to efficiently obtain the objective condition information of the patient on a daily basis.

[0016] (7) In the information processing device, the subjective state information may include information indicating the patient's response to a questionnaire about QoL. With this configuration, the patient's daily subjective state information can be efficiently acquired.

[0017] (8) In the information processing device, the disease may be a cardiopulmonary disease, and the recommended rehabilitation information may include information indicating a target activity amount. With this configuration, it is possible to encourage the patient to perform appropriate rehabilitation according to their activity amount.

[0018] (9) In the information processing device, the nudge processing unit may be configured to select one of a plurality of nudge techniques and execute the nudge processing in accordance with the selected nudge technique. With this configuration, it is possible to effectively encourage the patient to perform appropriate rehabilitation.

[0019] (10) In the information processing device, the nudge processing unit may be configured to select the nudge method based on attributes of the patient. With this configuration, it is possible to more effectively encourage the patient to perform appropriate rehabilitation according to the patient attributes.

[0020] (11) In the information processing device, the attributes may include at least one of age, employment information, and educational background. With this configuration, it is possible to more effectively encourage the patient to undergo appropriate rehabilitation in accordance with at least one of the patient's age, employment information, and educational background.

[0021] (12) In the information processing device, the nudge processing unit may be configured to select the nudge method based on the rehabilitation performance information. With this configuration, it is possible to more effectively encourage the patient to perform appropriate rehabilitation in accordance with the rehabilitation performance.

[0022] (13) In the information processing device, the rehabilitation performance information may include information indicating a rehabilitation implementation status of the patient after the execution of the nudge process. With this configuration, the patient can be more effectively encouraged to implement appropriate rehabilitation in accordance with the rehabilitation performance after the execution of the nudge process.

[0023] (14) In the information processing device, the nudge processing unit may be configured to select the nudge method based on the pathological condition of the patient. With this configuration, it is possible to more effectively encourage the patient to perform appropriate rehabilitation in accordance with the pathological condition of the patient.

[0024] The technology disclosed in this specification can be realized in various forms, such as an information processing device, an information processing method, a computer program that realizes those methods, a non-transitory recording medium on which that computer program is recorded, etc.

[0025] FIG. 1 is an explanatory diagram showing a schematic configuration of a medical support system 10 according to this embodiment; FIG. 2 is a block diagram showing a schematic configuration of a patient terminal device 100; FIG. 3 is a flowchart showing medical support processing; FIG. 4 is an explanatory diagram showing an example of a QoL questionnaire; FIG. 5 is an explanatory diagram showing an example of a recommended rehabilitation RR; FIG. 6 is an explanatory diagram showing an example of a rehabilitation record image;

[0026] A. Embodiments: A-1. Configuration of Medical Support System 10: Figure 1 is an explanatory diagram that shows a schematic configuration of a medical support system 10 in this embodiment. In this embodiment, interstitial pneumonia is used as a specific example of a disease, and a medical support system 10 for providing medical support services related to interstitial pneumonia will be described. Interstitial pneumonia is an example of a cardiopulmonary disease.

[0027] The medical support system 10 includes a patient terminal device 100, a server device 20, a wearable device 30, and a pulmonary function measuring device 40. The devices constituting the medical support system 10 are connected to each other via a communication network so as to be able to communicate with each other.

[0028] The server device 20 is a device used for diagnosis, etc., at a hospital HO, for example. The server device 20 may be installed within the hospital HO or may be located elsewhere. For example, the server device 20 performs diagnostic estimation, progress prediction, treatment prediction, etc. using a trained model created by predetermined machine learning based on medical information at the hospital HO, and outputs these analysis results (hereinafter referred to as "initial analysis results"). The diagnostic estimation estimates the current disease state, the progress prediction predicts the future progression of the disease state, and the treatment prediction predicts the effect of treatment (the degree of improvement in prognosis). The initial analysis result is an example of objective condition information indicating the objective condition of the patient PA. The server device 20 is also an example of another information processing device.

[0029] The wearable device 30 is attached to a predetermined position on the body of the patient PA (for example, a finger or a wrist) and continuously measures the biological information of the patient PA. The wearable device 30 is, for example, a pulse oximeter, and measures the heart rate and transcutaneous arterial oxygen saturation (SpO ２ ) The wearable device 30 may measure other biological information such as body temperature, sleep time, and calories burned. The biological information measured by the wearable device 30 is an example of objective condition information that indicates the objective condition of the patient PA. The wearable device 30 is also an example of a patient-side measuring device.

[0030] The pulmonary function measuring device 40 is used by the patient PA and measures the patient PA's biological information. The pulmonary function measuring device 40 is, for example, configured as a spirometer and measures FVC (forced vital capacity) and FEV1 (forced expiratory volume in one second). The pulmonary function measuring device 40 may also measure other biological information. The biological information measured by the pulmonary function measuring device 40 is an example of objective condition information that indicates the objective condition of the patient PA. The pulmonary function measuring device 40 is also an example of a patient-side measuring device.

[0031] The patient terminal device 100 is a terminal device used by a patient PA suffering from interstitial pneumonia. The patient terminal device 100 is, for example, a tablet terminal, a smartphone, a PC (personal computer), or the like.

[0032] 2 is a block diagram showing a schematic configuration of the patient terminal device 100. The patient terminal device 100 includes a control unit 110, a storage unit 120, a display unit 130, an operation input unit 140, and an interface unit 150. These units are connected to each other via a bus 190 so as to be able to communicate with each other. The patient terminal device 100 is an example of an information processing device.

[0033] The display unit 130 of the patient terminal device 100 is configured, for example, by a liquid crystal display or the like, and displays various images and information. The operation input unit 140 is configured, for example, by a keyboard, mouse, buttons, microphone, etc., and accepts operations and instructions from the user. The display unit 130 may also function as the operation input unit 140 by including a touch panel. The interface unit 150 is configured, for example, by a communication interface, and communicates with other devices via wired or wireless connection in accordance with a predetermined communication standard.

[0034] The storage unit 120 of the patient terminal device 100 is configured, for example, with a ROM, RAM, hard disk drive (HDD), solid state drive (SSD), etc., and is used to store various programs and data, and as a work area when executing various programs, and as a temporary storage area for data. For example, the storage unit 120 stores a medical support program CP, which is a computer program for executing various processes described below. The medical support program CP is provided in a state stored on a computer-readable recording medium (not shown), such as a CD-ROM, DVD-ROM, or USB memory, or is provided in a state that can be obtained from an external device (e.g., a cloud server or another terminal device) via the interface unit 150, and is stored in the storage unit 120 in a state that is operable on the patient terminal device 100.

[0035] Additionally, initial analysis result data D1, measurement result data D2, e-QoL data D3, and a trained model Mo are stored in advance or during various processes described below in the storage unit 120 of the patient terminal device 100. These data and models will be explained in conjunction with the various processes described below.

[0036] The control unit 110 of the patient terminal device 100 is configured, for example, with a CPU or the like, and controls the operation of the patient terminal device 100 by executing a computer program read from the storage unit 120. For example, the control unit 110 functions as a medical support unit 111 that executes various processes described below by reading and executing a medical support program CP from the storage unit 120. The medical support unit 111 includes a condition information acquisition unit 112, an analysis processing unit 114, a performance information acquisition unit 116, and a nudge processing unit 118. The condition information acquisition unit 112 includes an objective condition information acquisition unit 112A and a subjective condition information acquisition unit 112B. The analysis processing unit 114 includes a diagnosis estimation unit 114A, a progress prediction unit 114B, a treatment prediction unit 114C, a strategy setting unit 114D, and a report creation unit 114E. The functions of each of these units will be described in conjunction with the various processes described below.

[0037] A-2. Medical Support Processing: Next, the medical support processing executed by the patient terminal device 100 of this embodiment will be described. FIG. 3 is a flowchart showing the medical support processing. The medical support processing is processing for providing support to improve the symptoms of a patient PA suffering from interstitial pneumonia. The medical support processing is started, for example, in response to the patient PA operating the operation input unit 140 of the patient terminal device 100 to input a start instruction.

[0038] First, the objective condition information acquisition unit 112A ( FIG. 2 ) of the condition information acquisition unit 112 of the patient terminal device 100 acquires an initial analysis result (S110). As described above, the initial analysis result is the result of an analysis performed in the server device 20 based on the medical information of the hospital HO. The initial analysis result includes, for example, at least one of a diagnostic estimation result, a progress prediction result, and a treatment prediction result. The objective condition information acquisition unit 112A may acquire the initial analysis result by actively accessing the server device 20, or may acquire the initial analysis result by receiving an initial analysis result that the server device 20 has voluntarily transmitted to the patient terminal device 100. Initial analysis result data D1 indicating the acquired initial analysis result is stored in the storage unit 120.

[0039] Furthermore, the objective state information acquisition unit 112A of the state information acquisition unit 112 of the patient terminal device 100 acquires biological information of the patient PA measured on the patient PA's side using the wearable device 30 and / or the pulmonary function measuring device 40 (S120). The objective state information acquisition unit 112A may acquire the biological information by actively accessing the wearable device 30 and / or the pulmonary function measuring device 40, or may acquire the biological information by receiving biological information that the wearable device 30 and / or the pulmonary function measuring device 40 voluntarily transmits to the patient terminal device 100. The acquisition of the biological information is performed continuously (e.g., once a day). Measurement result data D2 indicating the measurement results of the acquired biological information is stored in the storage unit 120.

[0040] Furthermore, the subjective state information acquisition unit 112B of the state information acquisition unit 112 of the patient terminal device 100 acquires QoL information indicating the patient PA's responses to a QoL (Quality of Life) questionnaire (S130). Specifically, the subjective state information acquisition unit 112B displays a QoL questionnaire for the patient PA on the display unit 130 and acquires information indicating the patient PA's responses input via the operation input unit 140. The acquisition of QoL information is performed continuously (e.g., once a day). Note that in this specification, such a method of electronically acquiring QoL information and electronically acquired QoL information are also referred to as e-QoL. FIG. 4 is an explanatory diagram showing an example of a QoL questionnaire. The QoL questionnaire involves subjective evaluation on a six-point scale regarding, for example, whether or not the subject has a cough, whether or not they feel phlegm is blocked, whether or not they feel short of breath, whether or not they get out of breath when climbing slopes or stairs, whether or not their normal activities at home are restricted, whether or not they are unable to go out because they are worried about the state of their lungs, whether or not they are unable to sleep because they are worried about the state of their lungs, whether or not they feel energetic, etc. The e-QoL data D3 indicating the obtained QoL questionnaire results is stored in the storage unit 120.

[0041] Next, based on the information acquired in S110 to S130, the analysis processing unit 114 ( FIG. 2 ) of the patient terminal device 100 executes a predetermined analysis process and generates analysis result information indicating the results of the analysis process (S140). The analysis process is executed continuously (e.g., once a day). The analysis process is executed using a trained model Mo created by predetermined machine learning. In this embodiment, the analysis process includes a diagnosis estimation, a progress prediction, a treatment prediction, and setting of measures recommended for the patient PA to implement to improve the symptoms of the disease. That is, the diagnosis estimation unit 114A of the analysis processing unit 114 executes a diagnosis estimation, the progress prediction unit 114B executes a progress prediction, and the treatment prediction unit 114C executes a treatment prediction.

[0042] Furthermore, the strategy setting unit 114D of the analysis processing unit 114 sets the above-mentioned strategies. The strategies created by the strategy setting unit 114D include, for example, a recommended rehabilitation RR. In this specification, "rehabilitation" refers to various measures taken to lead an appropriate life, such as exercise, diet, and lifestyle review, and is intended to bring about, for example, improvement or alleviation of symptoms themselves, improvement of QoL, maintenance and improvement of motor function, and extension of life prognosis. FIG. 5 is an explanatory diagram showing an example of a recommended rehabilitation RR. The recommended rehabilitation RR is a rehabilitation menu (events, intensity, etc.) recommended for execution depending on the condition of each individual patient PA. A target activity amount may be set as the recommended rehabilitation RR. Recommended rehabilitation information indicating the recommended rehabilitation RR is included in the above-mentioned analysis result information.

[0043] In addition, the measures created by the measure setting unit 114D may include receiving a visit to a hospital. For example, in a case where, in consideration of the condition of the patient PA, improvement in the symptoms of the disease is not expected or worsening of the symptoms is predicted, the measure setting unit 114D may set a measure of visiting a hospital as a measure recommended for the patient PA to implement in order to improve the symptoms of the disease.

[0044] The analysis processing unit 114 outputs the results of the analysis processing in a manner that can be perceived by the patient PA based on the above-mentioned analysis result information (S150). For example, as illustrated in Fig. 5, the strategy setting unit 114D of the analysis processing unit 114 displays the recommended rehabilitation RR on the display unit 130 using text or images (still images or videos) based on the above-mentioned recommended rehabilitation information. This allows the patient PA to recognize the rehabilitation menu that is recommended to be performed. The strategy setting unit 114D is an example of a recommended rehabilitation processing unit.

[0045] Furthermore, for example, the strategy setting unit 114D of the analysis processing unit 114 may display a message recommending a visit to a hospital on the display unit 130. This can encourage the patient PA to visit a hospital. The analysis processing unit 114 may also output other analysis results. For example, the analysis processing unit 114 may display the results of a progress prediction on the display unit 130. This allows the patient PA to understand the predicted progress of the disease condition.

[0046] The report creation unit 114E of the analysis processing unit 114 creates a report RE summarizing the results of the analysis processing based on the above-mentioned analysis result information, and outputs the report RE to the hospital HO (S160). This allows doctors and others at the hospital HO to understand the patient PA's daily objective and subjective condition, as well as the results of diagnosis, estimation, progress prediction, and treatment prediction based on the condition, which can be useful for treating the patient PA. Note that the results of diagnosis, estimation, and treatment prediction among the analysis results may be output only to the hospital HO, not to the patient PA.

[0047] The performance information acquisition unit 116 ( FIG. 2 ) of the patient terminal device 100 acquires rehabilitation performance information indicating the status of rehabilitation performed by the patient PA (S170). The rehabilitation performance information is information indicating the status of rehabilitation performed by the patient PA (date and time of implementation and content of implementation). For example, the performance information acquisition unit 116 may display a rehabilitation record image as exemplified in FIG. 6 on the display unit 130 and acquire rehabilitation performance information based on the content input by the patient PA via the operation input unit 140. Alternatively, the performance information acquisition unit 116 may acquire rehabilitation performance information indicating that rehabilitation has been performed by the patient PA when a video showing recommended rehabilitation RR is played back by the patient PA's operation. In addition, the performance information acquisition unit 116 may acquire biometric information (e.g., heart rate and SpO ) of the patient PA during rehabilitation. ２ ), the record information acquiring unit 116 may acquire rehabilitation record information indicating that rehabilitation has been performed by the patient PA when a predetermined change has occurred in the biological information measured by the wearable device 30 or the like. Furthermore, for example, when an event indicating that rehabilitation has been performed by the patient PA is not detected by a predetermined determination timing, the record information acquiring unit 116 may acquire rehabilitation record information indicating that rehabilitation has not been performed by the patient PA by the determination timing.

[0048] The nudge processing unit 118 ( FIG. 2 ) of the patient terminal device 100 executes nudge processing based on the recommended rehabilitation information and the rehabilitation performance information (S180). In this specification, “nudge” refers to a mechanism that encourages a user's behavior from a behavioral economics perspective. In this embodiment, the user in the nudge is the patient, and the behavior is rehabilitation. The nudge processing is processing that encourages the patient PA to perform rehabilitation appropriate for the patient PA from a behavioral economics perspective (i.e., in accordance with the recommended rehabilitation RR). Encouraging the patient PA to perform rehabilitation from a behavioral economics perspective includes increasing the patient PA's motivation to perform rehabilitation by activating the patient PA's reward system. For example, the nudge processing unit 118 outputs nudge information that encourages the patient PA to perform appropriate rehabilitation in a manner that is perceptible to the patient PA. As illustrated in FIG. 7 , the nudge processing unit 118 may perform nudge processing using a so-called gamification technique. In the example of FIG. 7 , each time the patient PA performs rehabilitation in accordance with the recommended rehabilitation RR, the character displayed on the display unit 130 improves in level and becomes a stronger character. This is expected to motivate the patient PA to actively engage in rehabilitation by raising the character displayed on the display unit 130.

[0049] 8, the nudge processing unit 118 may display on the display unit 130 a video in which the patient's doctor praises the patient PA every time the patient PA performs rehabilitation in accordance with the recommended rehab RR. This is expected to motivate the patient PA to actively work on rehabilitation, being praised by the patient's doctor displayed on the display unit 130. Conversely, if the patient PA does not perform rehabilitation in accordance with the recommended rehab RR, the nudge processing unit 118 may display on the display unit 130 a video in which the patient's doctor explains the importance of rehabilitation or a video in which the patient's doctor gives encouragement.

[0050] Furthermore, when the patient PA has performed an excessive amount of rehabilitation compared to the recommended rehab RR, the nudge processing unit 118 may display an image on the display unit 130 that advises the patient PA to reduce the amount of rehabilitation performed. Whether the amount of rehabilitation is excessive may be determined, for example, based on whether it exceeds the target activity amount set in the recommended rehab RR, or may be determined based on changes in the patient PA's biological information. Note that in each of the above-mentioned examples, the image displayed on the display unit 130 is an example of nudge information.

[0051] Other possible nudge techniques include: - Displaying information emphasizing the benefits of rehabilitation and short-term lost profits - Using a chatbot or other means to engage in a dialogue by name - Explaining that data will be fed back to the patient's doctor, etc. - Using a system that allows patients to earn stamps or other rewards by undergoing rehabilitation - Using the peer effect. For example, a method that utilizes the behavioral trait of patients who are motivated to persevere when they have friends to visualize the level of rehabilitation effort of patients with the same disease and severity. - Using social preference. For example, a method that utilizes the behavioral trait of patients who want to share when they are with others to visualize the joy that doctors and family members feel based on the progress of rehabilitation. - Using reciprocity. For example, a method that utilizes the behavioral trait of patients who feel a need to give something in return when they receive something, to utilize a system that makes donations to disease research if patients persevere in rehabilitation. - Using the simulation effect. For example, a method that increases empathy by displaying the happy faces of the patient's doctor or family on a UIi screen. - Using authority. For example, a method that provides support from experts or uses citations. - Using the bandwagon effect. For example, a method that uses the behavioral trait of wanting to join in when a group of people gather to display a ranking of popular rehabilitation training programs. - A method that uses the herding effect. For example, a method that uses the behavioral trait of making a minority feel anxious to display a message such as, "Everyone else is doing rehabilitation, is that okay?". - A method that uses Nash equilibrium. For example, a method that uses the behavioral trait of preventing people from getting ahead of others to raise the doctor's ranking when a patient works hard at rehabilitation, and lower the doctor's ranking when they stop rehabilitation. It is also possible to change to a favorite doctor or character. - A method that uses scarcity. For example, a method that uses the behavioral trait of wanting something when you are about to lose it to delete your account if you do not participate in rehabilitation for a certain period of time, forcing you to make an excuse to your doctor. Another example is a method that increases the point award rate for a limited time. - A method that uses social proof. For example, a method that uses the behavioral trait of wanting to rely on something to show that people who work hard at rehabilitation have a longer lifespan, or that rehabilitation training selected from past data is suitable for the patient. Another method is to convey evidence that it is okay to be painful. - A method that uses the bystander problem.- A method that utilizes heuristics. For example, a method that utilizes shortcut thinking and behavioral characteristics that tend to reach conclusions quickly, by incorporating familiar elements into the UI, using an intuitive UI, or using similar questionnaires. - A method that utilizes present bias. For example, a method that utilizes the tendency to overestimate immediate benefits over larger benefits that can be obtained in the future, by showing specific indicators of goal achievement in as short a period as possible (including the number of times), or displaying outcomes for a specified period (for example, one week).

[0052] In this embodiment, the nudge processing unit 118 selects one of a plurality of nudge methods and executes nudge processing in accordance with the selected nudge method. Specifically, the nudge processing unit 118 selects the nudge method based on the attributes of the patient PA. For example, the nudge processing unit 118 refers to the age of the patient PA, and if the patient PA is young, selects a gamification nudge method as exemplified in FIG. 7 , and if the patient PA is elderly, selects a nudge method using an image of the patient's doctor as exemplified in FIG. 8 . The attributes of the patient PA that are referred to are not limited to the patient PA's age, and other attributes such as employment information (occupation, employment type, annual income, etc.) and educational background may also be referred to.

[0053] Alternatively, the nudge processing unit 118 selects a nudge method based on rehabilitation performance information. For example, if the patient PA does not perform rehabilitation despite the first nudge processing performed using a predetermined nudge method (e.g., a method using a video in which the patient's doctor explains the importance of rehabilitation), the nudge processing unit 118 selects, as the next nudge processing method to be performed, a nudge method that is considered to be more effective in encouraging the patient PA to perform rehabilitation (e.g., a method using a video in which the patient's doctor gives encouragement). In this way, the nudge processing unit 118 selects the next nudge processing method to be performed based on information indicating the rehabilitation performance status of the patient PA after the execution of nudge processing using the predetermined nudge method, as rehabilitation performance information. The rehabilitation performance information to be referenced is not limited to the patient PA's response to the nudge processing as described above. For example, information indicating the pure rehabilitation performance status without considering the influence of the nudge processing may also be referenced.

[0054] The nudge processing unit 118 may also select a nudge method based on the pathological condition (e.g., severity) of the patient PA. For example, the nudge processing unit 118 may select the gamification nudge method described above for a patient PA with a relatively mild condition, and may select the method using a video in which the attending physician gives encouragement and encouragement described above for a patient PA with a relatively severe condition.

[0055] In this way, the nudge processing unit 118 performs nudge processing that behaviorally economically encourages the patient PA to perform appropriate rehabilitation. This is expected to encourage the patient PA to actively engage in daily rehabilitation, and ultimately to improve the patient PA's prognosis and QoL. Note that at least a portion of the processing from S120 to S180 may be repeatedly executed. By repeatedly executing the processing in this manner, the accuracy of the analysis processing using the trained model Mo is improved, and the usefulness of the patient terminal device 100 is improved.

[0056] A-3. Effects of this Embodiment: As described above, the patient terminal device 100 of this embodiment includes a strategy setting unit 114D, a performance information acquisition unit 116, and a nudge processing unit 118. The strategy setting unit 114D acquires recommended rehabilitation information indicating a recommended rehabilitation RR for the patient PA suffering from a disease, and outputs the recommended rehabilitation RR in a manner that can be perceived by the patient PA. The performance information acquisition unit 116 acquires rehabilitation performance information indicating the implementation status of rehabilitation by the patient PA. The nudge processing unit 118 executes nudge processing that encourages the patient PA to implement appropriate rehabilitation from a behavioral economics perspective, based on the recommended rehabilitation information and the rehabilitation performance information.

[0057] In this way, in the patient terminal device 100 of this embodiment, the nudge processing unit 118 executes nudge processing to prompt the patient PA to perform appropriate rehabilitation from a behavioral economics perspective, based on recommended rehabilitation information indicating the recommended rehabilitation RR for the patient PA and rehabilitation performance information indicating the rehabilitation implementation status by the patient PA. Therefore, the patient terminal device 100 of this embodiment can effectively prompt the patient PA to perform appropriate rehabilitation in accordance with the recommended rehabilitation RR, taking into account the rehabilitation implementation status by the patient PA.

[0058] Furthermore, in the patient terminal device 100 of this embodiment, the nudge processing unit 118 performs a nudge process of outputting nudge information that prompts the patient PA to perform appropriate rehabilitation in a manner that can be perceived by the patient PA. Therefore, according to the patient terminal device 100 of this embodiment, it is possible to effectively prompt the patient PA to perform appropriate rehabilitation by outputting the nudge information.

[0059] Furthermore, in the patient terminal device 100 of this embodiment, the nudge information includes information that recommends that the patient PA reduce the amount of rehabilitation that is performed. Therefore, according to the patient terminal device 100 of this embodiment, if the intensity or frequency of the rehabilitation performed by the patient PA is excessive, the patient PA is recommended to reduce the amount of rehabilitation that is performed, thereby making it possible to prevent the patient PA from performing excessive rehabilitation.

[0060] The patient terminal device 100 of this embodiment further includes a state information acquiring unit 112 that continuously acquires objective state information of the patient PA and subjective state information based on the patient PA's subjective assessment. The strategy setting unit 114D continuously sets a recommended rehabilitation RR using a predetermined information processing method based on the objective state information and the subjective state information. Therefore, the patient terminal device 100 of this embodiment can set an appropriate recommended rehabilitation RR according to the patient PA's daily objective and subjective states, and can effectively encourage the patient PA to perform appropriate rehabilitation in accordance with the recommended rehabilitation RR.

[0061] Furthermore, in the patient terminal device 100 of this embodiment, the objective condition information includes an initial analysis result configured of at least one of a diagnosis estimation result, a progress prediction result, and a treatment prediction result, which are executed by another information processing device based on medical information at the hospital HO. Therefore, the patient terminal device 100 of this embodiment can set a more appropriate recommended rehabilitation RR based on the objective condition information including the initial analysis result, which is considered to be relatively accurate, and can effectively encourage the patient PA to perform appropriate rehabilitation in accordance with the recommended rehabilitation RR.

[0062] Furthermore, in the patient terminal device 100 of this embodiment, the objective condition information includes biological information of the patient PA measured by a measurement device (e.g., the wearable device 30 and / or the pulmonary function measuring device 40) on the patient PA side. Therefore, the patient terminal device 100 of this embodiment can efficiently acquire the daily objective condition information of the patient PA.

[0063] In the patient terminal device 100 of this embodiment, the subjective state information includes information indicating the patient's response to a questionnaire about QoL. Therefore, the patient terminal device 100 of this embodiment can efficiently acquire the subjective state information of the patient PA on a daily basis.

[0064] In the patient terminal device 100 of this embodiment, the disease is a cardiopulmonary disease, and the recommended rehabilitation information includes information indicating a target activity amount. Therefore, the patient terminal device 100 of this embodiment can encourage the patient PA to perform appropriate rehabilitation according to the patient PA's activity amount.

[0065] Furthermore, in the patient terminal device 100 of this embodiment, the nudge processing unit 118 selects one of a plurality of nudge methods and executes nudge processing in accordance with the selected nudge method. Therefore, the patient terminal device 100 of this embodiment can effectively encourage the patient PA to perform appropriate rehabilitation. The nudge processing unit 118 may select a nudge method based on the attributes of the patient PA. In this way, the patient PA can be more effectively encouraged to perform appropriate rehabilitation in accordance with the patient attributes. Furthermore, the nudge processing unit 118 may select a nudge method based on rehabilitation performance information. In this way, the patient PA can be more effectively encouraged to perform appropriate rehabilitation in accordance with the rehabilitation performance.

[0066] B. Modifications: The technology disclosed in this specification is not limited to the above-described embodiment, and can be modified in various forms without departing from the spirit of the invention. For example, the following modifications are also possible.

[0067] The configuration of the medical support system 10 in the above embodiment is merely an example and can be modified in various ways. For example, in the above embodiment, the medical support system 10 includes the server device 20, the wearable device 30, and the pulmonary function measuring device 40. However, the medical support system 10 may not include at least one of these, or may include devices other than these.

[0068] The contents of the medical support process in the above embodiment are merely examples and can be modified in various ways. For example, the objective state information and subjective state information used in the above embodiment are merely examples, and other information may be used.

[0069] In the above embodiment, the recommended rehabilitation is set based on the objective state information and the subjective state information, but the recommended rehabilitation may be set without using at least one of the objective state information and the subjective state information. Also, in the above embodiment, the patient terminal device 100 sets the recommended rehabilitation, but another device (e.g., the server device 20) may set the recommended rehabilitation, and the patient terminal device 100 may acquire information indicating the set recommended rehabilitation.

[0070] In the above embodiment, the subjective state information of the patient PA is acquired using the questionnaire exemplified in FIG. 4, but the manner in which the subjective state information is acquired can be changed arbitrarily.

[0071] In the above embodiment, the recommended rehabilitation RR is displayed in the manner exemplified in Fig. 5, but the display manner of the recommended rehabilitation RR can be changed as desired. Furthermore, the output manner of the recommended rehabilitation RR is not limited to image display, and may be other manners such as audio output.

[0072] In the above embodiment, rehabilitation record information indicating the status of rehabilitation performed by the patient PA is acquired using the rehabilitation record image exemplified in FIG. 6, but the manner in which rehabilitation record information is acquired can be changed arbitrarily.

[0073] In the above embodiment, the analysis process is performed using a trained model Mo created by a predetermined machine learning method, but the analysis process may also be performed using other information processing methods.

[0074] In the above embodiment, the patient terminal device 100 is exemplified as an information processing device, but the information processing device to which the technology disclosed in this specification can be applied is not limited to the patient terminal device 100 and may be, for example, a device installed in a hospital HO. For example, the technology disclosed in this specification may be applied to a measurement device such as the pulmonary function measurement device 40.

[0075] In the above embodiment, information processing for supporting the treatment of a patient PA suffering from interstitial pneumonia is exemplified, but the technology disclosed in this specification is not limited to interstitial pneumonia and can be similarly applied to information processing for supporting the treatment of a patient PA suffering from any disease.

[0076] In the above-described embodiment, a part of the configuration realized by hardware may be replaced by software, and conversely, a part of the configuration realized by software may be replaced by hardware.

[0077] 10: Medical support system 20: Server device 30: Wearable device 40: Pulmonary function measuring device 100: Patient terminal device 110: Control unit 111: Medical support unit 112: State information acquisition unit 112A: Objective state information acquisition unit 112B: Subjective state information acquisition unit 114: Analysis processing unit 114A: Diagnosis estimation unit 114B: Progress prediction unit 114C: Treatment prediction unit 114D: Strategy setting unit 114E: Report creation unit 116: Performance information acquisition unit 118: Nudge processing unit 120: Memory unit 130: Display unit 140: Operation input unit 150: Interface unit 190: Bus

Claims

1. An information processing device comprising: a recommended rehabilitation processing unit that acquires recommended rehabilitation information indicating recommended rehabilitation for a patient suffering from an illness and outputs the recommended rehabilitation in a manner perceivable by the patient; a performance information acquisition unit that acquires rehabilitation performance information indicating the status of rehabilitation implementation by the patient; and a nudge processing unit that executes nudge processing that encourages the patient to implement appropriate rehabilitation from a behavioral economic perspective based on the recommended rehabilitation information and the rehabilitation performance information.

2. An information processing device according to claim 1, wherein the nudge processing unit performs processing for outputting nudge information for encouraging the patient to carry out appropriate rehabilitation in a manner perceptible by the patient, as the nudge processing.

3. An information processing device according to claim 2, wherein the nudge information includes information that advises the patient to reduce the amount of rehabilitation performed.

4. An information processing device as described in claim 1, further comprising a status information acquisition unit that continuously acquires objective status information of the patient and subjective status information based on the patient's subjective opinion, and the recommended rehabilitation processing unit continuously sets the recommended rehabilitation using a predetermined information processing method based on the objective status information and the subjective status information.

5. An information processing device according to claim 4, wherein the objective condition information includes an initial analysis result consisting of at least one of a diagnostic estimation result, a progress prediction result, and a treatment prediction result, which is executed by another information processing device based on medical information in a hospital.

6. An information processing device according to claim 4, wherein the objective condition information includes biological information of the patient measured using a measuring device at the patient's side.

7. An information processing device according to claim 4, wherein the subjective state information includes information indicating a response of the patient to a questionnaire regarding QoL.

8. An information processing device according to claim 1, wherein the disease is a cardiopulmonary disease, and the recommended rehabilitation information includes information indicating a target amount of activity.

9. An information processing device according to claim 1, wherein the nudge processing unit selects one of a plurality of nudge methods and executes the nudge processing in accordance with the selected nudge method.

10. An information processing device according to claim 9, wherein the nudge processing unit selects the nudge method based on attributes of the patient.

11. An information processing device according to claim 10, wherein the attributes include at least one of age, employment-related information, and educational background.

12. An information processing device according to claim 9, wherein the nudge processing unit selects the nudge method based on the rehabilitation performance information.

13. An information processing device according to claim 12, wherein the rehabilitation performance information includes information indicating the status of rehabilitation performed by the patient after execution of the nudge processing.

14. An information processing device according to claim 9, wherein the nudge processing unit selects the nudge method based on the pathological condition of the patient.

15. An information processing method comprising the steps of: acquiring recommended rehabilitation information indicating recommended rehabilitation for a patient suffering from an illness, and outputting the recommended rehabilitation in a manner perceivable by the patient; acquiring rehabilitation performance information indicating the status of rehabilitation implementation by the patient; and performing nudge processing that encourages the patient to implement appropriate rehabilitation from a behavioral economic perspective based on the recommended rehabilitation information and the rehabilitation performance information.

16. A computer program that causes a computer to execute the following processes: acquiring recommended rehabilitation information indicating recommended rehabilitation for a patient suffering from an illness, and outputting the recommended rehabilitation in a manner perceptible by the patient; acquiring rehabilitation performance information indicating the status of rehabilitation implementation by the patient; and performing a nudge process that encourages the patient to implement appropriate rehabilitation from a behavioral economic perspective, based on the recommended rehabilitation information and the rehabilitation performance information.

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