Rehabilitation support system, rehabilitation support method, and storage medium
By acquiring and aligning patients' rehabilitation data and creating personalized rehabilitation training plans, the problem of difficult to compare and use discharged patient data in the prior art is solved, and the effectiveness of rehabilitation training plans is improved.
Patent Information
- Application Number
- CN202410744486.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2023-06-26
- Filing Date
- 2024-06-11
- Publication Date
- 2024-12-27
AI Technical Summary
The prior art is difficult to extract data from inpatients and discharged patients through machine learning and other methods to compare, making it difficult to create an effective rehabilitation training program.
Create a personalized training plan based on aligned benchmark time points by obtaining patient information for target patients and data related to other patients, including rehabilitation training outcomes and recovery assessment indexes.
The ability to create new patient rehabilitation training programs using data from past patients has been achieved, improving the effectiveness of rehabilitation support systems.
Smart Images

Figure CN119207698A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to a rehabilitation support system, a rehabilitation support method, and a storage medium. Background Art
[0002] In Japanese Unexamined Patent Application Publication No. 2015-47253, it is disclosed that part images to be displayed on an image display device are added or changed according to the degree of completion of rehabilitation exercises, and the screen is updated due to the appearance of the part images being changed according to the degree of completion of rehabilitation exercises. Showing the screen to a person who is training can lead to maintaining motivation. Summary of the invention
[0003] Generally, patients develop symptoms (e.g., cerebral infarction), undergo surgery, are hospitalized in the acute phase, and then begin rehabilitation according to the recovery situation. Some patients also begin rehabilitation after being transferred to another hospital during the recovery period. As above, the time to start rehabilitation is different depending on the patient's condition, age, basic physical strength, etc. There are also cases where the rehabilitation results in acute phase hospitals and rehabilitation results in recovery phase hospitals. Therefore, the data of hospitalized patients cannot be compared with the data of discharged patients in the past unconditionally. Therefore, it is difficult to extract similar data through machine learning, etc., and it is difficult to use the data of past patients when creating a training plan for hospitalized patients.
[0004] The present disclosure has been made to solve the above-mentioned problems, and an object of the present disclosure is to provide a rehabilitation support system, method, storage medium, etc., which support creation of a training plan for a patient with reference to training completion data of other patients.
[0005] A rehabilitation support system according to one embodiment of the present disclosure is a rehabilitation support system comprising: a patient information acquisition unit, which acquires patient information related to a target patient, wherein the patient information includes information of at least one benchmark time point; a related data acquisition unit, which acquires related data of other patients similar to the patient information, wherein the related data includes rehabilitation training achievement data, a transition of a recovery assessment index, and information of a benchmark time point corresponding to the benchmark time point of the target patient; a training plan creation unit, which creates a training plan for the target patient based on the related data of the other patients by aligning the benchmark time point of the patient information with the benchmark time point of other patients; and a presentation unit, which presents the training plan.
[0006] A rehabilitation support method according to one scheme of the present disclosure is a rehabilitation support method comprising the following: acquiring patient information related to a target patient, the patient information including information of at least one benchmark time point; acquiring relevant data of other patients similar to the patient information, the relevant data including rehabilitation training achievement data, transitions in a recovery assessment index, and information of benchmark time points corresponding to the benchmark time points of the target patient; creating a training plan for the target patient based on the relevant data of the other patients by aligning the benchmark time points of the patient information with the benchmark time points of other patients; and presenting the training plan.
[0007] A storage medium storing a program according to one scheme of the present disclosure is a storage medium storing the following program, wherein the program enables a computer to execute: obtaining patient information related to a target patient, wherein the patient information includes information of at least one benchmark time point; obtaining relevant data of other patients similar to the patient information, wherein the relevant data includes rehabilitation training achievement data, a transition of a recovery assessment index, and information of a benchmark time point corresponding to the benchmark time point of the target patient; creating a training plan for the target patient based on the relevant data of the other patients by aligning the benchmark time point of the patient information with the benchmark time point of other patients; and displaying the training plan.
[0008] According to the present disclosure, it becomes possible to create a training plan for the rehabilitation of a new patient using past outcome data of other patients. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] Features, advantages, and technical and industrial significance of exemplary embodiments of the present invention will be described hereinafter with reference to the accompanying drawings, in which like reference numerals represent like elements, and in which:
[0010] Figure 1 is a diagram showing an example of a user interface displayed by a rehabilitation support system;
[0011] Figure 2 is a block diagram showing a configuration of a rehabilitation support system according to an embodiment;
[0012] Figure 3 A diagram showing the onset date, acute phase, recovery phase, and chronic phase;
[0013] Figure 4 is a flowchart showing the operation of the rehabilitation support system according to the embodiment;
[0014] Figure 5 A diagram showing an example of training achievement data of an inpatient according to an embodiment;
[0015] Figure 6A diagram showing an example of training achievement data of a discharged patient according to an embodiment;
[0016] Figure 7 A diagram showing an example of a training program for an inpatient according to an embodiment that can be compared with data of a discharged patient; and
[0017] Figure 8 A diagram showing an example of the hardware configuration of a training plan creation device. DETAILED DESCRIPTION
[0018] The embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. In each of the drawings, the same or corresponding elements are represented by the same reference numerals, and repeated descriptions are omitted when necessary to make the description clear.
[0019] The rehabilitation support system of the present disclosure can be used to display various data of a patient performing rehabilitation, and to provide more effective rehabilitation support.
[0020] In a hospital, a therapist records the content of rehabilitation training and the time required for the patient every predetermined period (eg, 5 minutes). The rehabilitation support system displays the rehabilitation results and plan on a display or the like by using the recorded data accumulated for each patient.
[0021] Figure 1 An example of a user interface displayed for a rehabilitation support system. In the central part of the screen, a graph is displayed with the horizontal axis being days and the two vertical axes being training time and a recovery assessment index. The left vertical axis in the figure represents the training time, while the right vertical axis in the figure represents the recovery assessment index. As a recovery assessment index, the functional independence measure (FIM) is used, but is not limited thereto, and suitable indices that can be understood by a person skilled in the art, such as the Basel Index (BI) and the Stroke Injury Assessment Set (SIAS) can be used. As above, on the user interface, the user can view the training achievements and the recovery assessment index side by side. The user interface can be displayed on a touch screen that can be operated by touch.
[0022] Evaluation data such as training results and walking FIM can be set by using the 0 day in the horizontal axis as the onset date. The onset date is the day when the symptoms begin to appear. The user can also replace the onset date by changing the 0 day in the horizontal axis to the acute hospitalization date, the recovery hospitalization date, the rehabilitation start date, etc. by operating various buttons in the user interface.
[0023] The patient's training results can be visualized on the user interface by using a stacked bar chart or a line chart. The training time of each training item of the patient recorded by the therapist assisting the rehabilitation is displayed as the training results. Figure 1In the figure, a single-point dash line 101 is displayed as a short-term goal, wherein the number of training days in the horizontal axis is 20 days. A single-point dash line 102 is displayed as a long-term goal, wherein the number of training days in the horizontal axis is 80 days. A single-point dash line 103 indicating the expected discharge date is also displayed, wherein the number of training days in the horizontal axis is 90 days. The lines for short-term goals, long-term goals, and expected discharge dates can be freely set by a doctor or therapist, or can be automatically set based on past training results and patient data. Examples of training items include walking training (e.g., walking on flat ground, stairs, etc.), eating training, and toilet training, but are not limited to this. The dates of short-term goals and long-term goals are not restricted and can be freely set.
[0024] By referring to data of other discharged patients similar to the inpatient, a doctor or therapist can set short-term goals, long-term goals, or an expected discharge date in consideration of the inpatient's achievements, motivation, physical condition, etc. By grasping the inpatient's achievement data relative to the short-term goals and long-term goals, the doctor or therapist can communicate with the patient appropriately to improve rehabilitation motivation.
[0025] Each input data of the patient's achievement data (for each training project) can be associated with the name or ID of the specific responsible therapist. The user can selectively display the training achievement data associated with the specific responsible therapist by selecting the name of the therapist on the user interface. In some embodiments, the training achievement data associated with the specific responsible therapist can be displayed as distinguishable by color coding, etc. It is also possible to display the training achievement data as distinguishable according to the type of therapist. Examples of the type of therapist include physical therapists (PT), occupational therapists (OP), speech therapists (ST), etc., but are not limited to this. In some embodiments, it is also possible to distinguish between individual training that shows the patient's individual training or group training that multiple patients gather to train. In the case of individual training, the therapist asks the patient or nurse about the time of each training project and inputs the achievement data into the rehabilitation support system. In some embodiments, the achievement data of each training project can be automatically input into the rehabilitation support system from a sensor (e.g., a wearable device) worn on the patient.
[0026] like Figure 1 As shown, "FIM being done" 111 and "FIM able to do" 112 are displayed in association with the achievement data. FIM stands for recovery assessment index. The maximum value (e.g., 7) indicates that the patient can perform the training program like a healthy person, and the care need is indicated as gradually becoming higher as the value decreases.
[0027] The "Doing FIM" assesses what the patient is doing in life. For example, in the case of walking training, when the patient is able to walk without crutches, but walks with crutches in daily life, the "Doing FIM" indicates that the patient is able to walk with crutches. In this case, the "Able to do FIM" indicates the ability to walk without crutches. The therapist can obtain the "Doing FIM" by observing the patient's daily life regularly (for example, once a month). The "Able to do FIM" can be obtained by the therapist by observing the daily rehabilitation status. The "Doing FIM" can be obtained for each of the hospitalization and discharge, and the difference can be used to evaluate the outcome of rehabilitation.
[0028] The above is a main description of the user interface of the rehabilitation support system. As described above, data of various patients are accumulated and recorded in the inpatient and discharged patient database. However, the starting period of rehabilitation is different according to the condition, age, basic physical strength, etc., and therefore the inpatient data and the past discharged patient data may not be comparable with each other. Therefore, it is difficult to use past data when creating a training plan for inpatients. Therefore, the reference time point of the accumulated data in the past can be set in an optional manner and can be used to create a training plan for inpatients by the following method.
[0029] Exemplary Embodiments
[0030] Figure 2 The present invention is a block diagram showing the configuration of a rehabilitation support system according to an embodiment. The rehabilitation support system 1 includes a training plan creation device 10 and a patient information database 20. The training plan creation device 10 and the patient information database 20 are connected to each other via a network. In another embodiment, the display unit 15 can be provided separately from the training plan creation device 10. The training plan creation device 10 and the patient information database 20 can be provided integrally.
[0031] As described above, the patient information database 20 records the training achievement data and rehabilitation evaluation index of various patients from hospitalization to discharge, as well as the patient's registration information (eg, name, gender, condition, etc.).
[0032] The training plan creation device 10 is implemented by a computer having a memory, a processor, a display, etc. The training plan creation device 10 includes a patient information acquisition unit 11 , a related data acquisition unit 12 , a training plan creation unit 13 , a reference time point selection unit 14 , and a presentation unit 15 .
[0033] The patient information acquisition unit 11 acquires patient information related to the inpatient. For example, the patient information may include the patient's personal information (e.g., name, age, gender, height, and weight) and information related to the patient's disease or symptoms (e.g., cerebral infarction). As described above, the patient information may include the rehabilitation training results, the recovery assessment index (FIM), the onset date, the hospitalization date, etc., which are input by the therapist via an operation unit (e.g., a keyboard, a mouse, etc.).
[0034] The relevant data acquisition unit 12 acquires outcome data related to other patients (e.g., discharged patients) similar to the inpatient. The relevant data acquisition unit 12 can acquire outcome data related to one or more discharged patients similar to the inpatient. Other similar patients are patients with profiles (registration information) such as age, gender, and condition similar to those of the inpatient. For example, when the inpatient is a 43-year-old male with cerebral infarction, as a patient similar to the inpatient, the relevant data acquisition unit 12 can acquire outcome data of one or more other male patients with cerebral infarction in their forties from the patient information database 20. The outcome data of other patients may also include information related to the training outcomes of rehabilitation input by the therapist, the recovery assessment index (FIM), the date of onset, the date of hospitalization, and the date of discharge.
[0035] In some embodiments, the relevant data acquisition unit 12 acquires outcome data related to discharged patients with more specific training outcomes or recovery assessment indexes similar to those of inpatients. For example, when the inpatient is a 43-year-old male with cerebral infarction, outcome data related to discharged patients with training outcomes or recovery assessment indexes similar to those of inpatients are acquired from one or more outcome data of males with cerebral infarction in their forties. For example, by acquiring a recovery assessment index of a discharged patient that is similar to the inclination or transition of the recovery assessment index of the inpatient, a training plan described later can be more accurately formulated based on the recovery assessment index of the discharged patient. As similar data, the inclination or transition of the recovery assessment index of the inpatient, or the outcome data and recovery assessment index of discharged patients within a threshold value can be acquired.
[0036] In some embodiments, data of one or more other patients similar to the data of the inpatient (e.g., features of the FIM in the figure) can be extracted by using a similarity recognition technique using machine learning. In another embodiment, machine learning such as support vector machines and neural networks can be used for tilt detection (image processing) of similar FIMs in two figures.
[0037] As described above, the training plan creation unit 13 aligns the reference time point of the outcome data of the discharged patient with the reference time point of the data of the target inpatient, and creates a training plan for the target inpatient. In some embodiments, the reference time point of the discharged patient and the inpatient can be the onset date of each patient. By aligning the onset date in the outcome data of the discharged patient with the onset date of the inpatient as the same reference time point of the inpatient, a training plan for the inpatient can be created based on the same reference time point.
[0038] In another embodiment, the reference time point for discharged patients and inpatients may be the hospitalization date in the recovery period. In yet another embodiment, the reference time point for discharged patients and inpatients may be the hospitalization date in the acute period. For example, in the case of a patient transferred from another hospital in the recovery period, a training plan for the inpatient can be created by aligning the hospitalization date of the inpatient with the hospitalization date of the past patient in the recovery period. In this case, the relevant data acquisition unit 12 may acquire data of one or more other patients transferred from another hospital in the recovery period as past patient data.
[0039] In the case of a patient transferred from another hospital in the acute phase, a training plan for the inpatient can be created by aligning the inpatient date of the inpatient with the hospital date of the patient in the past acute phase. In this case, the related data acquisition unit 12 can acquire data of one or more other patients transferred from another hospital in the acute phase as past patient data.
[0040] As described above, the training plan creation unit 13 can automatically create an appropriate training plan by aligning the reference time points of the data of discharged patients and inpatients.
[0041] In some embodiments, when the training achievement data or recovery assessment index of multiple discharged patients are used, the training plan creation unit 13 can create a training plan for the inpatient based on the average of the training achievement data or recovery assessment index of the multiple discharged patients. In the present specification, the training plan may include at least one or all of the scheduled end date or expected discharge date, the short-term target date, the long-term target date, the target training time and project for the short-term goal, the target training time and project for the long-term goal, the training projects to be completed before the end of the training, and the predicted time required for each training project of the training plan.
[0042] In some embodiments, the training plan creation unit 13 can use the training results and recovery assessment index of the inpatient within several days after hospitalization to create a more accurate training plan. For example, the training plan creation unit 13 can predict the date (short-term goal date) when the determined short-term goal can be achieved based on the outcome data of discharged patients with training results similar to the inpatient's up to now. The training plan creation unit 13 can predict the date (long-term goal date) when the determined long-term goal can be achieved or the expected discharge date based on the outcome data of discharged patients with training results similar to the inpatient's up to now. In another embodiment, when creating a training plan, the number of rest days desired by the inpatient or therapist (for example, once a week or twice a week) can also be considered.
[0043] In another embodiment, for example, the training plan creation unit 13 can specifically create a training plan including required training items and training time based on the transition of the inpatient's recovery assessment index similar to the transition of the inpatient's recovery assessment index up to now.
[0044] The reference time point selection unit 14 receives input of the outcome data of discharged patients and the data of inpatients from therapists etc. via an input device (e.g., keyboard, touch screen, mouse, etc.), and selects a reference time point from a plurality of reference time points. Also in this case, the same reference time point is selected for the outcome data of discharged patients and the data of inpatients. For example, the reference time point can be selected from a group formed by the date of onset, the date of hospitalization in the acute phase, and the date of hospitalization in the recovery phase. This can be effective when an inpatient is transferred to another hospital and the therapist of the new hospital cannot see the training results, recovery assessment index, etc. of the previous hospital. In some embodiments, the reference time point may include two reference time points, in other words, the date of onset in the acute phase and the date of hospitalization or the date of hospitalization in the recovery phase.
[0045] Figure 3 A diagram showing the onset date, acute phase, recovery phase, and chronic phase. The training start date for each patient is different (e.g., the training start date is in the acute phase or the recovery phase), and therefore cannot be used as a reference time point. Therefore, in the present embodiment, when comparing past patient data with the data of hospitalized patients, the onset date is, in principle, the reference. The two weeks from the onset date are referred to as the acute phase. It is expected that rehabilitation in the acute phase will begin within essentially 48 hours from the onset date to prevent a decline in physical function. Therefore, many patients are hospitalized and begin rehabilitation during the acute phase. Some patients may exceptionally begin rehabilitation after entering the recovery phase. The period during which the patient lives at home after the state of symptoms and disorders becomes stable is referred to as the chronic phase. Figure 3 The number of days in the acute phase or recovery phase is only an example and may vary depending on the condition.
[0046] For example, the data of hospitalized patients may be data that does not have any record of training results and only indicates the date of onset. The data of hospitalized patients may be data that indicates the date of onset and the training results within a few days or tens of days from hospitalization. In some embodiments, the reference time point selection unit 14 sets the reference time point used to compare the discharged patient's achievement data with the inpatient's data to the date of onset. In another embodiment, when the inpatient enters the recovery period in which the condition becomes stable and begins to recover, the reference time point selection unit 14 may set the reference time point of the discharged patient's achievement data to the hospitalization date in the recovery period.
[0047] The display unit 15 displays the training plan created as described above on a display device. The display device may be a display of the training plan creation device 10, or may be a display outside the training plan creation device 10. In some embodiments, the display unit 15 can display the training plan of the target patient so that it can be compared with the achievement data of the discharged patient.
[0048] Basically, the training plan for the inpatient can be created as follows: by displaying two graphs in a comparative manner so that the onset date in the training achievement data of the past discharged patients and the onset date in the training achievement data of the inpatient are consistent with each other. In some embodiments, the two graphs of the discharged patient and the inpatient can be displayed in an overlapping manner.
[0049] Reference Figures 4 to 7 , a rehabilitation support method according to an embodiment is described. Figure 4 Flowchart showing the operation of the rehabilitation support system according to the embodiment. The patient information acquisition unit 11 acquires patient information related to the inpatient (step S11). The patient information acquisition unit 11 accepts input operation from the therapist and acquires the patient's profile information, such as the patient's condition, disease name (e.g., cerebral infarction), onset date, and hospitalization date. Figure 5 The training results and recovery assessment index of a hospitalized patient are shown. Figure 5 As shown, the patient information acquisition unit 11 can acquire patient information including the patient's rehabilitation training results and recovery evaluation index. Figure 5 In the example, the patient's illness onset date is August 31. The patient was hospitalized on September 1 and began recovery immediately. Figure 5 , the training items and training times recorded from September 1 to September 8 are shown.
[0050] The related data acquisition unit 12 acquires the outcome data related to other patients (e.g., discharged patients) similar to the inpatient (step S12). For example, the past data of one or more discharged patients with the same condition (e.g., cerebral infarction) as the inpatient are acquired from the patient information database 20. In this example, the related data acquisition unit 12 further acquires Figure 5 The training outcomes and recovery assessment index of the inpatients shown and other similar patients. Figure 5 Data in which the difference between the inclination of the recovery assessment index of the inpatient and the inclination of the recovery assessment index of the discharged patient is less than a threshold value is extracted as similar data. Figure 6 2 is an example of the training results and recovery evaluation indexes of other patients that have been obtained. Figure 6 As shown, the other patient suffered a cerebral infarction on June 2, was hospitalized on June 3, and then began to recover. The other patient recovered to the same level as a healthy person on June 17 (FIM indication 7), and was discharged from the hospital on June 18.
[0051] As described above, the training plan creation unit 13 aligns the reference time point of the outcome data of other patients and the reference time point of the inpatient's data, and creates a training plan for the inpatient (step S13). In this example, a training plan for the inpatient is created by aligning the onset date (June 2) in the outcome data of other patients and the onset date (August 31) in the inpatient's data. Specifically, a training plan for inpatients on and after September 9 is created for records in which outcome data has not yet been entered. The training plan can be created with reference to the inpatient's training outcomes and recovery assessment indexes to date, as well as the training outcomes and recovery assessment indexes of patients discharged in the past. The training plan may indicate that the expected discharge date is September 16.
[0052] The presentation unit 15 presents the training plan created as described above (step S14). Figure 7 15 is capable of displaying a training plan for a target patient ( Figure 7 The following figure) can be used to compare the relevant data of discharged patients ( Figure 7 The training plan indicates the scheduled end date of the training plan or the expected discharge date ( Figure 7 September 16 in the image below). Figure 7In the training plan, a blank area is shown. However, in another embodiment, the training plan may specifically show the training items, training time, etc. required until the inpatient is discharged. Alternatively, in another embodiment, short-term goals or long-term goals may be indicated in the training plan. The training plan does not necessarily need to be a comparable chart as above, and may only show the scheduled end date or expected discharge date of the training plan, the training items, training time, etc. required until the inpatient is discharged.
[0053] Figure 8 2 is a block diagram showing a configuration example of the training plan creation device 10. Figure 8 , the training plan creation device 10 includes a network interface 1201, a processor 1202 and a memory 1203. The network interface 1201 is used to communicate with other network node devices configuring the communication system. The network interface 1201 can be used to perform wireless communication. For example, the network interface 1201 can be used to perform wireless LAN communication defined by the IEEE 802.11 series or mobile communication defined by the third generation partnership project (3GPP (R)). Alternatively, the network interface 1201 may include a network interface card (NIC) that complies with, for example, the IEEE 802.3 series.
[0054] The processor 1202 performs the processing of the training plan creation device 10 described using the flowchart or sequence in the above embodiment by reading out and executing the software (computer program) from the memory 1203. For example, the processor 1202 can be a microprocessor, a microprocessing unit (MPU), a central processing unit (CPU) or a graphics processing unit (GPU). The processor 1202 may include multiple processors.
[0055] The memory 1203 is configured by a combination of a volatile memory and a nonvolatile memory. The memory 1203 may include a storage device arranged to be spaced apart from the processor 1202. In this case, the processor 1202 may access the memory 1203 via an I / O interface (not shown).
[0056] exist Figure 8 In the example in FIG. 1 , the memory 1203 is used to store therein the software module groups. The processor 1202 can perform the processing of the training program creation device 10 described in the above embodiment by reading out and executing these software module groups from the memory 1203.
[0057] As reference Figure 4 As described, each processor included in the training program creation device 10 and the like executes one or more programs including an instruction group for causing a computer to execute the algorithm described with reference to the drawings.
[0058] In the above examples, various types of non-transitory computer-readable media can be used to store programs, and programs can be provided to computers. Non-transitory computer-readable media include various types of tangible recording media (storage media). Examples of non-transitory computer-readable media include magnetic recording media (e.g., floppy disks, magnetic tapes, and hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROMs (read-only memory), CD-Rs, CD-R / Ws, digital versatile disks (DVDs), Blu-ray (R) optical disks (BDs), and semiconductor memories (e.g., mask ROMs, programmable ROMs (PROMs), erasable PROMs (EPROMs), flash ROMs, and random access memories (RAMs)). Programs can be provided to computers via various types of temporary computer-readable media. Examples of temporary computer-readable media include electrical signals, optical signals, and electromagnetic waves. Temporary computer-readable media can provide programs to computers via wired communication paths (such as wires and optical fibers) or wireless communication paths.
[0059] The present invention is not limited to the above-described embodiments and can be changed as appropriate without departing from the gist.
Claims
1. A rehabilitation support system, comprising: a patient information acquisition unit, which acquires patient information related to a target patient, wherein the patient information includes information of at least one reference time point; a related data acquisition unit, which acquires related data of other patients similar to the patient information, the related data including rehabilitation training achievement data, a transition of a recovery assessment index, and information of a reference time point corresponding to the reference time point of the target patient; a training plan creating unit, which creates a training plan for the target patient based on the relevant data of the other patients by aligning the reference time point of the patient information with the reference time point of the other patients; as well as A display unit displays the training plan.
2. The rehabilitation support system according to claim 1, wherein: The plurality of reference time points include a date of onset, and a date of hospitalization during an acute phase or a date of hospitalization during a recovery phase.
3. The rehabilitation support system according to claim 1, wherein: The presentation unit presents the training plan of the target patient so as to be comparable with the relevant data of the other patients.
4. The rehabilitation support system according to claim 1 further includes a reference time point selection unit which selects a reference time point of the data from the group consisting of an onset date, a hospitalization date in an acute phase, and a hospitalization date in a recovery phase.
5. The rehabilitation support system according to claim 1, wherein: The patient information acquisition unit acquires the disease name, training results, recovery evaluation index, onset date and hospitalization date related to the target patient.
6. The rehabilitation support system according to claim 1, wherein: The related data acquisition unit acquires the related data of the other patients whose transition of the recovery assessment index is similar to that of the target patient through machine learning.
7. The rehabilitation support system according to claim 1, wherein: The training plan creation unit creates the training plan for the target patient based on the relevant data of the other patients whose transition of the recovery assessment index is similar to that of the target patient.
8. The rehabilitation support system according to claim 1, wherein: The training plan includes at least one of a scheduled end date, a short-term target date, a long-term target date, training items to be completed before the end of the training, and a predicted required time for each of the training items in the training plan.
9. A rehabilitation support method comprising: Acquiring patient information related to a target patient, wherein the patient information includes information of at least one reference time point; Acquire relevant data of other patients similar to the patient information, wherein the relevant data includes rehabilitation training achievement data, a change in a recovery assessment index, and information of a reference time point corresponding to the reference time point of the target patient; Creating a training plan for the target patient based on the relevant data of the other patients by aligning the reference time point of the patient information with the reference time point of the other patients; as well as Present the training program.
10. A storage medium storing a program, wherein the program causes a computer to execute: Acquiring patient information related to a target patient, wherein the patient information includes information of at least one reference time point; Acquire relevant data of other patients similar to the patient information, wherein the relevant data includes rehabilitation training achievement data, a change in a recovery assessment index, and information of a reference time point corresponding to the reference time point of the target patient; Creating a training plan for the target patient based on the relevant data of the other patients by aligning the reference time point of the patient information with the reference time point of the other patients; as well as Present the training program.