Auxiliary method, auxiliary program, auxiliary device and auxiliary system for assisting preoperative rehabilitation

Abstract

An assistance device 3 for assisting a patient who is intended to receive a surgery in preoperative rehabilitation, the assistance device comprising an acquisition unit 31 for acquiring preoperative information D1 on a condition of the patient within a specific period of time before the surgery, the preoperative information D1 comprising at least one of nutrition consumed by the patient and a strength training state of the patient, and the nutrition comprises at least one of amino acids, probiotics and prebiotics.

Description

Technical Field

[0001] The invention relates to a preoperative rehabilitation auxiliary technology. Background Art

[0002] The patient's postoperative course (number of days in hospital, postoperative complications, etc.) also depends on the patient's preoperative condition. In recent years, preoperative rehabilitation therapy, which provides patients with exercise and health management before surgery to improve the postoperative course, has received attention.

[0003] For example, Non-Patent Document 1 points out that the patient's preoperative nutritional status, physical function obtained through exercise, and preoperative anxiety and stress (mental state) will affect their postoperative course.

[0004] Citation List

[0005] Non-patent literature

[0006] Non-patent document 1: "Recent topic in anesthesiology field: Recommendations for prehabilitation in cancer surgery," Kakehashi, Hyogo Cancer Center, March2022, vol. 80, pp. 2-3, internet<URL: https: / / hyogo-cc.jp / general / pdf / no80.pdf> ("Latest Topics in Anesthesiology: Advice on Rehabilitation Before Cancer Surgery", Kakehashi, Hyogo Cancer Center, March 2022, Vol. 80, pp. 2-3, available at<URL:https: / / hyogo-cc.jp / general / pdf / no80.pdf> ) Summary of the invention

[0007] Technical issues

[0008] In non-patent document 1, the nutritional status before surgery is evaluated based on BMI, weight and food intake, but not based on the type of nutrition. However, the inventors' research found that the type of nutrition also affects the postoperative process. In traditional preoperative rehabilitation, it is difficult to properly assess the risk of postoperative prognosis. In addition, patients usually wait at home before surgery instead of being hospitalized, and the completion of the preoperative rehabilitation plan depends on each individual. Therefore, some people have pointed out problems such as differences in program compliance rates and reduced enthusiasm for completing the plan. These problems also make it difficult to determine the risk of postoperative prognosis.

[0009] The present invention is devoted to solving the above-mentioned problems, and its purpose is to appropriately assist preoperative rehabilitation.

[0010] Technical Solution

[0011] In order to achieve the above object, the present invention includes the following aspects.

[0012] Article 1

[0013] A method of using a computer to assist in the preoperative rehabilitation of patients scheduled for surgery,

[0014] The method comprises the step of obtaining preoperative information about the patient's condition within a specific period before the operation,

[0015] The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and

[0016] The nutrition comprises at least one of amino acids, probiotics and prebiotics.

[0017] Article 2

[0018] The auxiliary method according to clause 1, wherein the nutrition comprises at least one of amino acids and synbiotics.

[0019] Article 3

[0020] An auxiliary method according to clause 1 or 2, wherein the preoperative information includes the patient's bowel movement conditions.

[0021] Article 4

[0022] An assistance method according to any of clauses 1 to 3, wherein the pre-operative information includes the patient's activity level.

[0023] Article 5

[0024] The assistance method of clause 4, wherein the activity level includes the patient's steps and calories burned.

[0025] Article 6

[0026] The assistance method according to any one of clauses 1 to 5 further comprises a prediction step of predicting the patient's postoperative course based on preoperative information.

[0027] Article 7

[0028] The auxiliary method according to any one of clauses 1 to 6, further comprising before the obtaining step:

[0029] The recording step of recording preoperative information using the patient terminal for patient management; and

[0030] A step of transmitting the preoperative information from the patient terminal to the computer.

[0031] Article 8

[0032] A procedure that assists patients scheduled for surgery in their preoperative recovery.

[0033] The auxiliary program causes the computer to execute the step of acquiring preoperative information about the patient's condition within a specific period before the operation.

[0034] The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and

[0035] The nutrition comprises at least one of amino acids, probiotics and prebiotics.

[0036] Article 9

[0037] An auxiliary device that assists patients scheduled for surgery in preoperative rehabilitation.

[0038] The auxiliary device includes an acquisition unit for acquiring preoperative information about a patient's condition within a specific period before the operation,

[0039] The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and

[0040] The nutrition comprises at least one of amino acids, probiotics and prebiotics.

[0041] Article 10

[0042] An auxiliary system, comprising:

[0043] Auxiliary equipment as described in clause 9; and

[0044] A patient terminal is communicatively connected to the auxiliary device and records preoperative information.

[0045] Beneficial Effects

[0046] The present invention can appropriately assist preoperative rehabilitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a block diagram showing a schematic configuration of an assistance system according to an embodiment of the present invention.

[0048] Figure 2 An example of a main interface of a recording application is shown.

[0049] Figure 3 (a) and (b) show examples of interfaces for recording a patient's strength training status.

[0050] Figure 4 (a) and (b) show examples of interfaces for recording a patient's strength training status.

[0051] Figure 5 An example of an interface for recording a patient's strength training status is shown.

[0052] Figure 6 (a) and (b) show examples of an interface for recording a patient's bowel movement.

[0053] Figure 7 (a) and (b) show examples of interfaces for recording nutrition ingested by a patient.

[0054] Figure 8 An example of an interface for recording a patient's activity level is shown.

[0055] Fig. 9 An example of preoperative information displayed on a display of a medical staff terminal is shown.

[0056] Fig.10 An example of a patient list interface displayed on a display of a medical staff terminal is shown.

[0057] Fig.11 is a flow chart showing the processing steps of a method of assisting a patient in preoperative rehabilitation. DETAILED DESCRIPTION

[0058] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. The present invention is not limited to the following embodiments, and various modifications may be made without departing from the spirit of the present invention.

[0059] (Overall Configuration)

[0060] Figure 1 1 is a block diagram showing a schematic configuration of an auxiliary system 1 according to an embodiment of the present invention. The auxiliary system 1 is a system for assisting a patient scheduled to undergo surgery in preoperative rehabilitation, and includes a patient terminal 2, an auxiliary device 3, and a medical staff terminal 4. The patient terminal 2, the auxiliary device 3, and the medical staff terminal 4 are communicatively connected via a network N (e.g., the Internet).

[0061] (Patient terminal)

[0062] The patient terminal 2 is a terminal managed by the patient, and is a mobile device such as a smart phone. The patient terminal 2 can be prepared by the patient himself or lent to the patient, as long as the patient can use it every day within a predetermined period (eg, several months) before the operation.

[0063] The patient can use the patient terminal 2 to record the patient's preoperative information during a specific period before the operation. In this embodiment, the preoperative information includes the patient's strength training status, the patient's bowel movement, the patient's nutrition intake, and the patient's activity level. A recording application for recording preoperative information is installed on the patient terminal 2. By running the recording application, the patient terminal 2 implements the following functional blocks: a strength training status recording unit 21, a bowel movement recording unit 22, a nutrition recording unit 23, and an activity level recording unit 24.

[0064] Figure 2 An example of the main interface of the recording application is shown. Buttons B1, B2 and B3 on the main interface are links for switching to interfaces for recording the patient's strength training status, the patient's bowel movement status and the patient's nutritional intake, respectively.

[0065] When button B1 is clicked, the interface switches to Figure 3 (a) shows the interface. This interface displays a list of the patient's strength training status recorded during the surgery waiting period (e.g., 6 weeks). In this embodiment, the number of squats is recorded as the strength training status. To record a new strength training status, click on the date on the calendar. Figure 3 Input the strength training status of the day on the interface shown in (b), and then click the "Save" button B7. In this way, the strength training status recording unit 21 records the strength training status of the patient.

[0066] By clicking Figure 3 (a) Click the "Squat Count" button B5, the interface will switch to Figure 4 (a) and click Figure 4 (a) Click the "Start" button B8, the interface will switch to Figure 4 (b) is an interface shown. On this interface, a reference video of strength training is played in the area indicated by "Video Area", and by performing strength training according to the video, the gyro sensor will measure the number of repetitions of strength training. In this way, the data recorded in the strength training state recording unit 21 can also be automatically input using the gyro sensor.

[0067] By clicking Figure 3 (a) Click the "Training Video" button B6, the interface will switch to Figure 5 The interface shown in FIG. 2 is a diagram showing a patient's strength training state. On this interface, the patient can view videos of training methods and techniques for each strength training except squats and videos of training courses, and the patient can perform strength training while watching the videos. In this embodiment, the number of squats is recorded as the strength training state; however, the type of strength training to be recorded in the strength training state recording unit 21 can be appropriately set according to the preoperative rehabilitation plan.

[0068] When Figure 2 When button B2 is clicked on the main interface shown, the interface switches to Figure 6 (a) shows the interface. This interface displays a list of patients' bowel movements recorded during the waiting period for surgery (e.g., 6 weeks). In this embodiment, stool consistency is recorded as bowel movement using a seven-point scale. To record a new bowel movement, click on the date on the calendar or the legend at the bottom of the interface indicating stool consistency, enter the bowel movement time of the day, and then enter the bowel movement time in the form of a bowel movement. Figure 6 Select the defecation condition on the interface shown in (b), and then click the "Save" button B9. In this way, the defecation condition recording unit 22 records the patient's defecation condition.

[0069] When Figure 2 When you click button B3 on the main interface, the interface switches to Figure 7 (a) The interface shows a list of nutrients that the patient has ingested during the waiting period for surgery (e.g., 6 weeks). In this embodiment, nutrients refer to amino acids and synbiotics. The synbiotics mentioned here refer to a combination of probiotics and prebiotics. Probiotics refer to lactic acid bacteria, bifidobacteria and other live microorganisms that are beneficial to the human body by improving the balance of intestinal flora, as well as foods, beverages and medicines containing these live microorganisms. Prebiotics refer to oligosaccharides, dietary fiber and other substances that can be selectively utilized by beneficial intestinal microorganisms including probiotics. When the patient takes at least one of these nutrients, he or she can click on the date on the calendar at the bottom of the interface or on the legend indicating the nutrients ingested. Figure 7 On the interface shown in (b), input the time of nutrition intake and select the nutrition type, and then click the "Save" button B10. In this way, the nutrition recording unit 23 records the nutrition taken by the patient.

[0070] The activity level recording unit 24 records the patient's activity level at any time when the recording application is running. In this embodiment, the activity level includes the patient's steps, brisk walking time, and calories consumed. The steps are measured by the gyro sensor built into the patient terminal 2. The recorded activity level is displayed on Figure 2 The activity level display area R1 on the main interface is shown. The activity level display area R1 displays an icon B4, whose image changes according to the patient's steps or brisk walking time. In this embodiment, it is set to display the second stage when 5,000 steps or 10 minutes of brisk walking are achieved, and display the third stage when 8,000 steps or 20 minutes of brisk walking are achieved.

[0071] When you click icon B4 or activity level display area R1 on the main interface, the interface switches to Figure 8 The interface shown in Figure 1 shows a chart of the number of steps and brisk walking time recorded by the patient over a week.

[0072] The patient terminal 2 may be a general-purpose computer. In this case, a separate sensor terminal (such as a pedometer or wearable device) is used to measure the patient's activity level.

[0073] As described above, the patient's strength training status, the patient's bowel movement conditions, the patient's nutrition intake, and the patient's activity level recorded in the patient terminal 2 are sent to the auxiliary device 3 as preoperative information D1.

[0074] (Assistive equipment)

[0075] The auxiliary device 3 is located in the cloud and may be composed of a general-purpose computer. The hardware configuration of the auxiliary device 3 includes a processor such as a CPU or a GPU (not shown), a main storage device such as a DRAM or an SRAM (not shown), and an auxiliary storage device 30 such as an HDD or an SSD. The auxiliary storage device 30 stores a program (such as the auxiliary program P1) for operating the auxiliary device 3 and data.

[0076] The auxiliary device 3 includes an acquisition unit 31, a prediction unit 32, an output unit 33, and an alarm unit 34 as functional blocks. These functional blocks can be implemented in the form of software by the processor of the auxiliary device 3. In this case, the processor can read the auxiliary program P1 stored in the auxiliary storage device 30 into the main storage device and run the program to implement each of the above units. The auxiliary program P1 can be downloaded to the auxiliary device 3 through a communication network (such as the Internet), and can also be installed on the auxiliary device 3 through a computer-readable non-transitory recording medium such as a CD-ROM on which the auxiliary program P1 is recorded.

[0077] The acquisition unit 31 acquires the preoperative information D1 transmitted from the patient terminal 2. In the present embodiment, the acquisition unit 31 further stores the preoperative information D1 in the auxiliary storage device 30.

[0078] The prediction unit 32 predicts the patient's postoperative course based on the preoperative information D1. The prediction results are not particularly limited as long as they help determine the postoperative prognostic risk. Examples include the number of days of hospital stay after surgery and the possibility of complications. Alternatively, the possibility of preoperative and postoperative medical interventions and surgery based on the prognostic risk can be used as the prediction results.

[0079] In addition, the prediction unit 32 may use, for example, an artificial intelligence (AI) algorithm of machine learning using clinical research results for prediction, or may use a rule-based algorithm for prediction. In the present embodiment, specifically, the preoperative information D1 includes at least one of the nutrition ingested by the patient and the patient's strength training status, and the nutrition contains at least one of amino acids, probiotics, and prebiotics; therefore, the postoperative course can be accurately predicted.

[0080] The output unit 33 outputs the prediction result of the prediction unit 32. In the present embodiment, the output unit 33 sends the prediction result to the medical staff terminal 4.

[0081] Even if the scheduled surgery date is approaching, the alarm unit 34 will warn the patient that the postoperative process is predicted to have a poor outcome. In this embodiment, the alarm unit 34 sends a message to the patient terminal 2 to remind the patient to exercise and take in more nutrition. These messages are displayed, for example, in Figure 2 On the notification interface.

[0082] (Medical staff terminal)

[0083] The medical staff terminal 4 is a terminal managed by a doctor in charge of a patient's surgery, and can be composed of a general-purpose computer. The medical staff terminal 4 includes an acquisition unit 41, a prediction indication unit 42, and a prediction result display unit 43 as functional blocks. These functional blocks can be implemented in software form by a processor of the medical staff terminal 4.

[0084] The acquisition unit 41 acquires the preoperative information D1 stored in the auxiliary storage device 30 of the auxiliary device 3 . Fig. 9 An example of preoperative information D1 displayed on the display of the medical staff terminal 4 is shown. In this example, the activity level of each patient is displayed. For important indicators, an alert can be issued to the user (doctor) by highlighting or the like.

[0085] In this embodiment, the personal data (age, gender, height, weight) of each patient can be displayed together with the preoperative information D1. In addition, information filtered from the preoperative information D1 based on patient groups and time periods can also be displayed.

[0086] The prediction instruction unit 42 instructs the prediction unit 32 of the support device 3 to predict the postoperative course of the patient designated by the user according to the operation of the user (doctor). Fig.10 An example of a patient list interface displayed on the display of the medical staff terminal 4 is shown. The user can specify a patient from the list interface, and can further give a prediction indication by performing a specific operation. Thus, the prediction indication is sent from the prediction indication unit 42 to the auxiliary device 3, and the prediction unit 32 of the auxiliary device 3 reads information about the specified patient from the preoperative information D1 stored in the auxiliary storage device 30, and predicts the postoperative course of the patient based on the information. Thereafter, the output unit 33 sends the prediction result to the medical staff terminal 4.

[0087] The prediction result display unit 43 displays the prediction result sent from the output unit 33 on the display of the medical staff terminal 4. The user can appropriately determine whether to perform surgery on the patient by referring to the prediction result.

[0088] (Processing steps)

[0089] Fig.11 is a flow chart showing the processing steps of a method of assisting a patient in preoperative rehabilitation.

[0090] In step S1 (recording step), the patient terminal 2 records the preoperative information. In this embodiment, the strength training state recording unit 21, the defecation condition recording unit 22, the nutrition recording unit 23 and the activity level recording unit 24 of the patient terminal 2 record the preoperative information.

[0091] In step S2 (transmission step), the preoperative information D1 is transmitted from the patient terminal 2 to the auxiliary device 3. The transmission time is not particularly limited, and may be, for example, every day or a specific day of a week.

[0092] In step S3 (acquisition step), the acquisition unit 31 of the support device 3 acquires the preoperative information D1 transmitted from the patient terminal 2 .

[0093] In step S4 , the acquisition unit 31 stores the preoperative information D1 in the auxiliary storage device 30 .

[0094] In step S5 , according to the user's operation on the medical staff terminal 4 , the prediction instruction unit 42 instructs the auxiliary device 3 to predict the patient's postoperative course.

[0095] In step S6 (prediction step), the prediction unit 32 of the support device 3 predicts the postoperative course of the patient based on the preoperative information D1 .

[0096] In step S7 , the output unit 33 sends the prediction result to the medical staff terminal 4 .

[0097] In step S8 , the prediction result display unit 43 of the medical staff terminal 4 displays the prediction result on the display of the medical staff terminal 4 .

[0098] In step S9 , the user of the medical staff terminal 4 determines whether to perform preoperative and postoperative medical intervention or surgery based on the patient's prognostic risk by referring to the prediction result.

[0099] (Summary)

[0100] As described above, in the above embodiment, the postoperative course of the patient is predicted based on the preoperative information D1 including at least one of the nutrition taken by the patient and the strength training state of the patient, and the nutrition contains at least one of amino acids, probiotics and prebiotics. Therefore, the postoperative course can be accurately predicted and preoperative rehabilitation can be appropriately assisted. In addition, in the above embodiment, the preoperative information D1 is recorded using the patient terminal 2 for patient management, which can reduce the burden of doctors in preoperative rehabilitation.

[0101] In the above embodiment, the auxiliary device 3 in the cloud predicts the postoperative course of the patient; however, the medical staff terminal 4 or the patient terminal 2 may have at least some of the functions of the auxiliary device 3. In addition, in the above embodiment, the user of the medical staff terminal 4 determines whether to perform preoperative and postoperative medical intervention or surgery based on the prognostic risk by referring to the prediction results of the auxiliary device 3; however, it is also possible to determine whether to perform preoperative and postoperative medical intervention or surgery by referring to the preoperative information D1. In this case, there is no need to predict the postoperative course through the auxiliary device 3.

[0102] The preoperative information D1 may also include the patient's sleeping state.

[0103] Example

[0104] Examples of the present invention are described below. The present invention is not limited to the following examples.

[0105] (Verification method)

[0106] In this example, it was verified whether the auxiliary method according to the present invention can appropriately assist preoperative rehabilitation. The subjects were 7 patients over 20 years old from the Department of Gastrointestinal Surgery of Nagoya University Hospital who underwent highly invasive hepatobiliary and pancreatic surgery, subtotal esophagectomy, or similar highly invasive gastrointestinal surgery due to malignant tumors or similar diseases. Before undergoing preoperative rehabilitation, the subjects were asked to install the auxiliary program P1 (preoperative rehabilitation health care application, also known as "Preha" (registered trademark)) of the above-mentioned embodiment on their smartphones, and receive guidance from a physical therapist in the rehabilitation department in the form of a narrated video through Preha and perform preoperative exercise therapy.

[0107] There was a 2- to 4-week waiting period before surgery, during which the subjects underwent preoperative rehabilitation at home. In addition, all subjects were instructed to continue taking an amino acid preparation for muscle mass enhancement (Amino Perfect Multi Support (registered trademark); four packets twice a day) and a synbiotic preparation for improving the intestinal environment (Synprotec (registered trademark); two packets of probiotics and two packets of prebiotics per day). Daily activity levels were recorded on Preha, and subjects were also asked to regularly enter their bowel movement status, amino acid preparation and synbiotic preparation intake, and data from the Edmonton Assessment Project. The subjects' preoperative waiting period and postoperative hospital stay totaled approximately two months.

[0108] The following main points a to c were monitored and evaluated as indicators of compliance with preoperative rehabilitation.

[0109] a) Average daily step count during the preoperative waiting period

[0110] b) The percentage of days during the preoperative waiting period when the subjects walked more than 5,000 steps per day to the total number of days during the waiting period

[0111] c) Average time of brisk walking per day

[0112] In addition, as secondary points, the following d and e measurements of exercise capacity, muscle mass, and fat mass were assessed at the time of the initial hospitalization (hospitalization for examinations required for surgery) and before surgery.

[0113] d) Sports performance assessment

[0114] Measures 6-minute walk distance, grip strength, etc.

[0115] e) Body composition assessment

[0116] Measuring muscle mass, body fat mass, and bone mass using a body composition analyzer (InBody)

[0117] Using CT images, the psoas muscle area, mean CT value, visceral fat mass, and subcutaneous fat mass at the third lumbar vertebra level were measured

[0118] In addition, the following information was collected from the subjects' medical records.

[0119] - Preoperative factors: age, sex, weight, BMI, underlying diseases, Charlson comorbidity index, and malignancy stage

[0120] - Intraoperative factors: surgical procedure, operation time, intraoperative blood loss, and whether allogeneic blood transfusion was performed during the operation

[0121] - Postoperative factors: whether major complications occurred during the postoperative hospital stay (Clavien-Dindo grade ≥3), type of complications, and number of days of postoperative hospital stay

[0122] In addition, the hospital has adopted a method called GOLD-NUPP as one of the preoperative rehabilitation techniques. GOLD-NUPP is a method in which doctors actively intervene in preoperative rehabilitation, such as by setting detailed goals for the preoperative rehabilitation plan together with the doctor. Although this requires a lot of effort from the doctor, it can result in a high compliance rate for preoperative rehabilitation. The evaluation results of 71 patients who had previously undergone preoperative rehabilitation using GOLD-NUPP and for whom the evaluation results could be collected (control group) were used as a comparison example.

[0123] The surgical procedures, operative time (mean), and blood loss (median) of the subjects in the example (Preha group) and the comparison control group (GOLD-NUPP group) are shown in Table 1. The numbers in parentheses for operative time are standard deviations, and the numbers in parentheses for blood loss are interquartile ranges (IQRs).

[0124] Table 1

[0125]

[0126] The evaluation results of the subjects in the example and comparison control groups were compared using statistical methods. Specifically, the primary point, preoperative rehabilitation compliance rate (a to c), was compared with the data of historical controls. For the secondary points (d to e), the values ​​before and after the introduction of preoperative rehabilitation were compared.

[0127] (Verification results)

[0128] Table 2 shows the average number of steps per day, the number and percentage of subjects who walked more than 5,000 steps per day, and the average time of brisk walking per day for the sample and comparison control groups during the preoperative waiting period. The numbers in parentheses for the average number of steps per day and the average time of brisk walking are the interquartile ranges (IQRs).

[0129] Table 2

[0130]

[0131] The average number of steps per day and the percentage of subjects who walked an average of more than 5,000 steps per day were slightly lower in the sample than in the comparison; however, the average brisk walking time was higher in the sample than in the comparison.

[0132] Table 3 shows the 6-minute walking distance (mean), change (mean), and grip strength of the subjects in the example and comparative control groups before preoperative rehabilitation (before preoperative rehabilitation) and after preoperative rehabilitation (immediately before surgery). The numbers in parentheses are standard deviations.

[0133] Table 3

[0134]

[0135] Therefore, the physical fitness evaluation results of the example are better than those of the comparative example.

[0136] Table 4 shows the body weight (mean), total skeletal muscle mass (mean) and total fat mass (mean) of the subjects in the example and comparative control groups before and after surgery. The numbers in parentheses are standard deviations.

[0137] Table 4

[0138]

[0139] The body weight changes in the example and the comparative example are not significant, but the increase in total skeletal muscle mass and the decrease in total fat mass in the example are greater than those in the comparative example. In other words, the body composition evaluation results of the example are better than those of the comparative example.

[0140] Table 5 shows the number and percentage (%) of adverse events occurring during the preoperative rehabilitation period in the subjects of the example and comparative example control groups.

[0141] Table 5

[0142]

[0143] Therefore, some adverse events were observed in the comparative example but not in the example.

[0144] Table 6 shows the number of readmissions within 30 days, deaths within 90 days, major complications (Clavien-Dindo grade ≥ 3), and postoperative hospital stay (median) for the sample and comparison control groups. The numbers in parentheses for postoperative hospital stay are interquartile ranges (IQR).

[0145] Table 6

[0146]

[0147] Therefore, the comparative example was superior to the example in terms of the number of readmissions within 30 days, the number of major complications, and the number of days of postoperative hospitalization. However, this is considered to be because, as shown in Table 1, the proportion of large-area liver resections in the example was higher than that in the comparative example, and the operation time was significantly longer than that in the comparative example, indicating that a more invasive operation may have been performed in the example. Therefore, it can be said that there was no significant difference in the postoperative course between the example and the comparative example.

[0148] (Summary)

[0149] As described above, the subjects who used the auxiliary method of the present invention for preoperative rehabilitation were able to obtain evaluation results that were roughly equivalent to those of the control group who used GOLD-NUPP (in which doctors actively intervened) for preoperative rehabilitation. Therefore, it was found that the auxiliary method of the present invention can appropriately assist preoperative rehabilitation and reduce the burden on doctors.

[0150] Reference numerals list

[0151] 1 Auxiliary system

[0152] 2 Patient Terminal

[0153] 21 Strength training status recording unit

[0154] 22 Defecation Recording Unit

[0155] 23 Nutrition Record Unit

[0156] 24 activity level recording units

[0157] 3 Auxiliary equipment

[0158] 30 Auxiliary storage devices

[0159] 31 Get Unit

[0160] 32 prediction units

[0161] 33 Output Unit

[0162] 34 Alarm Units

[0163] 4 Medical staff terminal

[0164] 41 Get Unit

[0165] 42 Forecast Indicator Unit

[0166] 43. Prediction result display unit

[0167] D1 Preoperative Information

[0168] P1 Auxiliary Program

Claims

1. A method for assisting a patient scheduled for surgery with preoperative rehabilitation using a computer, The method comprises the step of obtaining preoperative information about the patient's condition within a specific period before the operation, The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and The nutrition comprises at least one of amino acids, probiotics and prebiotics.

2. The auxiliary method according to claim 1, wherein: The nutrition comprises at least one of amino acids and synbiotics.

3. The assisting method according to claim 1, wherein: The preoperative information includes the patient's bowel movement conditions.

4. The assisting method according to claim 1, wherein: The pre-operative information includes the patient's activity level.

5. The assisting method according to claim 4, wherein: The activity level includes the patient's steps and calories burned.

6. The auxiliary method according to claim 1 further comprises a prediction step of predicting the patient's postoperative course based on the preoperative information.

7. The auxiliary method according to any one of claims 1 to 6, further comprising before the obtaining step: A step of recording the preoperative information using a patient terminal managed by the patient; as well as A step of transmitting the preoperative information from the patient terminal to the computer.

8. A procedure for assisting patients scheduled for surgery in their preoperative rehabilitation. The auxiliary program causes the computer to execute an acquisition step of acquiring preoperative information about the patient's condition within a specific period before the operation, The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and The nutrition comprises at least one of amino acids, probiotics and prebiotics.

9. An auxiliary device for assisting patients scheduled for surgery in preoperative rehabilitation. The auxiliary device comprises an acquisition unit for acquiring preoperative information about the condition of the patient within a specific period before the operation, The preoperative information includes at least one of nutrition consumed by the patient and strength training status of the patient, and The nutrition comprises at least one of amino acids, probiotics and prebiotics.

10. An auxiliary system comprising: The auxiliary device according to claim 9; as well as A patient terminal capable of being communicatively connected to the auxiliary device and recording the preoperative information.

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