A thoracic surgery postoperative rehabilitation nursing method and system

Abstract

The application discloses a thoracic surgery postoperative rehabilitation nursing method and system, relates to the technical field of rehabilitation nursing, and acquires various data of the wound of the patient by collecting the wound image of the patient, analyzes the possibility of infection of the wound of the patient, analyzes the reason why the wound of the patient has a high possibility of infection if the wound of the patient has a high possibility of infection, formulates a solution according to the reason, classifies the wound of the patient according to the age of the patient and the recovery speed of the wound if the wound of the patient has a low possibility of infection, and adjusts the rehabilitation nursing scheme of the patient according to the classification of the wound of the patient, so that the wound of the patient can be treated in time and the effectiveness of the treatment method is guaranteed, and the recovery speed of the patient is effectively improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of rehabilitation nursing, in particular to a thoracic surgery postoperative rehabilitation nursing method and system. BACKGROUND

[0002] With the continuous development of medical technology, thoracic surgery has made significant progress in the treatment of various chest diseases, and the indications for surgery have been continuously expanded. However, the trauma to the patient's body still exists after surgery, and postoperative rehabilitation becomes a key factor affecting the patient's quality of life. Taking effective nursing measures can significantly reduce the probability of complications and ensure the safety of patients.

[0003] The traditional thoracic surgery postoperative rehabilitation nursing method and system have the following shortcomings when rehabilitating the patient's wound: 1. In the traditional thoracic surgery postoperative rehabilitation nursing method and system, the doctor judges whether the patient's wound is infected by observing the patient's wound condition. This judgment is subjective and may result in misjudgment, which cannot guarantee that the patient's wound can be treated in a timely manner.

[0004] 2. In the traditional thoracic surgery postoperative rehabilitation nursing method and system, when the patient's wound is infected, physiological saline is used to flush the wound, and anti-infective drugs are used. The cause of the patient's wound infection is not analyzed, and the effectiveness of the treatment method cannot be guaranteed when the patient's wound is infected.

[0005] 3. In the traditional thoracic surgery postoperative rehabilitation nursing method and system, when the patient's wound is not infected, the medical staff continues to rehabilitate the patient according to the unified rehabilitation nursing scheme, and the rehabilitation nursing scheme is not adjusted according to the patient's own condition, which cannot effectively improve the patient's rehabilitation speed. SUMMARY

[0006] In view of the above technical deficiencies, the present application aims to provide a thoracic surgery postoperative rehabilitation nursing method and system.

[0007] To solve the above technical problems, the present application adopts the following technical scheme: In a first aspect, the present application provides a thoracic surgery postoperative rehabilitation nursing method, comprising the following steps: Step one, data collection: when changing the dressing, use a medical imaging device to collect the patient's wound image and dressing change video, and record the number of dressing changes.

[0008] Step two, data analysis: obtain the wound image of the patient, and use image recognition technology to obtain the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each dressing change. According to the analysis formula: The infection risk coefficient β of the patient's wound is obtained, wherein A' and B' respectively represent the preset swelling area threshold and the preset RGB value threshold, and C' represents the area of the wound. A, B and C respectively represent the swelling area, RGB value and secretion area of the patient's wound, w1, w2 and w3 respectively represent the weight coefficients of the swelling area, RGB value and secretion area. Compare the infection risk coefficient of the patient's wound with the preset infection risk coefficient threshold. If the infection risk coefficient of the patient's wound is lower than the preset infection risk coefficient threshold, it means that the possibility of infection of the patient's wound is low. If the infection risk coefficient of the patient's wound is higher than the preset infection risk coefficient threshold, it means that the possibility of infection of the patient's wound is high.

[0009] Step three, analyze the cause of infection: when the possibility of infection of the patient's wound is high, obtain each dressing change data from the dressing change video, obtain the number of dressing changes and the content of each nutrient in the patient's body from the database, and analyze the reason why the possibility of infection of the patient's wound is high, and develop a solution.

[0010] Step four, adjust the rehabilitation nursing plan: when the possibility of infection of the patient's wound is low, analyze the recovery speed of the wound, divide the wound into different grades according to the patient's age and the recovery speed of the wound, and adjust the rehabilitation nursing plan.

[0011] Preferably, the analysis of the cause of infection has the following specific process: S11, use image recognition technology to identify each dressing change data of the medical staff during dressing change, and obtain the number of dressing changes and the medical history of the patient from the database.

[0012] S12, compare each dressing change data of the medical staff during dressing change with the standard of each dressing change data. If a certain dressing change data is different from the standard of the dressing change data, it means that the reason why the possibility of infection of the patient's wound is high is that the medical staff does not dress standardly. At the same time, compare the number of dressing changes of the patient with the preset number of times range. If the number of dressing changes of the patient is not within the preset number of times range, it means that the reason why the possibility of infection of the patient's wound is high is that the number of dressing changes is improper. At the same time, according to the medical history of the patient, analyze the immunity of the patient. If the immunity of the patient is poor, it means that the reason why the possibility of infection of the patient's wound is high is that the immunity is poor.

[0013] S13, develop a solution according to the reason why the possibility of infection of the patient's wound is high.

[0014] Preferably, the analysis of the patient's immunity, the specific process is as follows: from the database to obtain the patient's medical record, if the patient's medical record writes the patient has other diseases, which represents the patient's immunity is poor, if the patient's medical record writes the patient has no other diseases, from the patient's medical record to obtain the content of each nutrient in the patient's body and the patient's age, according to the analysis formula: The patient's immunity coefficient δ is obtained, wherein D a represents the content of the a th nutrient in the patient's body, E represents the age of the patient, D a ' represents the optimal content of the a th nutrient, E' represents the optimal age, a represents the number of each nutrient, a = 1, 2, 3,..., b, b represents the total number of nutrients, a and b are positive integers.

[0015] The patient's immunity coefficient is compared with the preset immunity coefficient threshold, if the patient's immunity coefficient is higher than the preset immunity coefficient threshold, which represents the patient's immunity is good, if the patient's immunity is lower than the preset immunity coefficient threshold, which represents the patient's immunity is poor.

[0016] Preferably, the solution is formulated, the specific process is as follows: if the reason for the high possibility of infection of the patient's wound is that the medical staff does not standardize the dressing change, the standard of each dressing data during dressing change is obtained from the database and sent to the medical staff, the medical staff learns, at the same time, uses normal saline to flush the wound, and uses anti-infective drugs.

[0017] If the reason for the high possibility of infection of the patient's wound is improper dressing change frequency, the patient's dressing change frequency is compared with the preset dressing change frequency range, if the patient's dressing change frequency is lower than the minimum value of the preset dressing change frequency range, the patient's dressing change frequency is increased, if the patient's dressing change frequency is higher than the maximum value of the preset dressing change frequency range, the patient's dressing change frequency is reduced.

[0018] If the reason for the high possibility of infection of the patient's wound is that the patient's immunity is poor, the patient's medical record is obtained, if the patient's medical record writes that the patient has other diseases, antibiotics are used, if the patient's medical record writes that the patient has no other diseases, the content of each nutrient in the patient's body is obtained and compared with the standard content range of each nutrient, if the content of a certain nutrient in the patient's body is not within the standard range of the nutrient content, which represents that the content of the nutrient is abnormal, in this way, the content of each abnormal nutrient in the patient's body is obtained, and the patient's diet is formulated according to each abnormal nutrient.

[0019] Preferably, the analysis of the wound recovery speed, the specific process is as follows: S21, obtaining the patient's wound image, and using image recognition technology to obtain the scab data value of the patient's wound, at the same time, using smart bracelet to collect the patient's motion data value.

[0020] S22, according to the analysis formula: obtaining the recovery index of the wound of the patient In the formula, F c represents the cth scab data value of the wound of the patient, G f represents the fth movement data value of the patient, F c represents the preset value threshold of the cth scab data of the wound of the patient, G f represents the preset value threshold of the fth movement data of the patient, c represents the number of each scab data value, c = 1, 2, 3, …, d, d represents the total number of scab data, f represents the number of each movement data value, f = 1, 2, 3, …, g, g represents the total number of movement data, c, d, f and g are all positive integers.

[0021] S23, comparing the recovery index of the wound of the patient with the preset recovery index, if the recovery index of the wound of the patient is lower than the preset recovery index threshold, it represents that the wound recovery speed of the patient is slow, if the recovery index of the wound of the patient is higher than the preset recovery index threshold, it represents that the wound recovery speed of the patient is fast.

[0022] Preferably, the wound is classified, and the specific process is: obtaining the age of the patient and the recovery speed of the wound, comparing the age of the patient with the preset age range, if the age of the patient is within the preset range and the recovery speed of the wound is fast, the wound is classified as a first type of wound, if the age of the patient is within the preset range and the recovery speed of the wound is slow, the wound is classified as a second type of wound, if the age of the patient is not within the preset range and the recovery speed of the wound is fast, the wound is classified as a third type of wound, if the age of the patient is not within the preset range and the recovery speed of the wound is slow, the wound is classified as a fourth type of wound, and the wound of the patient is classified in this way.

[0023] Preferably, the adjustment of the rehabilitation nursing scheme is performed, and the specific process is: S31, if the wound of the patient is a first type of wound, the training amount of the rehabilitation training of the patient is increased, and the frequency of dressing change of the patient is reduced.

[0024] S32, if the wound of the patient is a second-class wound, obtaining each component of each special medicine and the price of each special medicine from the database, comparing each allergic medicine of the patient with each component of each special medicine from the medical record of the patient, if a certain allergic medicine of the patient is the same as a certain component of a certain special medicine, it means that the patient is allergic to the special medicine, if each allergic medicine of the patient is different from each component of a certain special medicine, it means that the patient is not allergic to the special medicine, and the special medicine is called a standby special medicine, and the method is used to obtain each standby special medicine of the patient, and the price, the price of each standby special medicine and the effect score that the patient can accept are obtained, and the use index return value of each standby special medicine is analyzed according to the price that the patient can accept, the price of each standby special medicine and the effect score, and the return value is returned:

[0025]

[0026] H i , I i represent the price of the i-th standby special medicine, the effect score of the i-th standby special medicine, H' represents the price that the patient can accept, I i′ represent the price of other standby special medicines, γ i represent the use index return value of the i-th standby special medicine, i represents the number of each standby special medicine, i = 1, 2, 3,..., j, j represents the total number of standby special medicines, the set U represents each standby special medicine, then U = {1, 2, 3,..., j}, i' represents the number of other standby special medicines, i' ∈ U and i' ≠ i, i and j are positive integers.

[0027] When the use index return value of a certain standby medicine is 1, the medicine used by the patient is replaced with the standby special medicine, and the training amount of the rehabilitation training of the patient is increased.

[0028] S33, if the wound of the patient is a third-class wound, the food rich in protein and vitamins is added in the diet of the patient, the frequency of dressing change of the patient is reduced, and the training amount of the rehabilitation training of the patient is increased.

[0029] S34, if the wound of the patient is a fourth-class wound, the food rich in protein and vitamins is added in the diet of the patient, and the training amount of the rehabilitation training of the patient is increased.

[0030] In a second aspect, the present application provides a thoracic surgery postoperative rehabilitation nursing system, comprising the following modules: a data acquisition module is used to acquire the wound image and the dressing change video of the patient using a medical imaging device during dressing change, and the frequency of dressing change is recorded.

[0031] The data analysis module is used to acquire the wound image of the patient, and uses a graphic recognition technology to acquire the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each dressing change, and obtains the infection risk coefficient β of the wound of the patient according to an analysis formula: The preset swelling area threshold value, the preset RGB value threshold value, the area of the wound, the swelling area of the wound of the patient, the RGB value of the wound of the patient, the secretion area of the wound of the patient, the weight coefficient of the swelling area, the weight coefficient of the RGB value, and the weight coefficient of the secretion area are compared with the preset infection risk coefficient threshold value, if the infection risk coefficient of the wound of the patient is lower than the preset infection risk coefficient threshold value, it represents that the possibility of infection of the wound of the patient is low, and if the infection risk coefficient of the wound of the patient is higher than the preset infection risk coefficient threshold value, it represents that the possibility of infection of the wound of the patient is high.

[0032] The infection analysis module is used to acquire the dressing data from the dressing video when the possibility of infection of the wound of the patient is high, acquire the dressing frequency and the content of each nutrient in the patient from the database, and analyze the reason why the possibility of infection of the wound of the patient is high, and meanwhile, a solution is formulated.

[0033] The rehabilitation nursing scheme adjustment module is used to analyze the recovery speed of the wound when the possibility of infection of the wound of the patient is low, classify the wound according to the age of the patient and the recovery speed of the wound, and adjust the rehabilitation nursing scheme.

[0034] The database is used to store various data of the wound, dressing data of medical staff, dressing frequency, medical records of the patient and preset values of various data.

[0035] The chest surgery postoperative rehabilitation nursing method and system provided by the application has the advantages that: 1. The chest surgery postoperative rehabilitation nursing method and system provided by the application acquires various data of the wound of the patient by collecting the wound image of the patient, analyzes the possibility of infection of the wound of the patient, analyzes the reason why the possibility of infection of the wound of the patient is high if the possibility of infection of the wound of the patient is high, formulates a solution according to the reason, classifies the wound of the patient according to the age of the patient and the recovery speed of the wound if the possibility of infection of the wound of the patient is low, and adjusts the rehabilitation nursing scheme of the patient according to the classification of the wound of the patient, so that the wound of the patient can be treated in time and the effectiveness of the treatment method is guaranteed, and the rehabilitation speed of the patient is effectively improved. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description only show some of the embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0037] Figure 1 The method embodiment of the present application is shown in the flowchart.

[0038] Figure 2 The system structure connection diagram of the present application is shown. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0040] Please refer to Figure 1 As shown in the first aspect, the present application provides a thoracic surgery postoperative rehabilitation nursing method, comprising the following steps: step one, data acquisition: when changing medicine, using medical imaging equipment to collect the wound image and medicine changing video of the patient, and recording the number of times of changing medicine.

[0041] Step two, data analysis: obtaining the wound image of the patient, and at the same time using graphic recognition technology to obtain the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each time of changing medicine, according to the analysis formula: obtain the infection risk coefficient β of the wound of the patient, wherein A', B' represent the preset swelling area threshold value and the preset RGB value threshold value respectively, and C' represents the area of the wound, and A, B and C represent the swelling area, RGB value and secretion area of the wound of the patient respectively, and w1, w2 and w3 represent the weight coefficients of the swelling area, RGB value and secretion area respectively, compare the infection risk coefficient of the wound of the patient with the preset infection risk coefficient threshold value, if the infection risk coefficient of the wound of the patient is lower than the preset infection risk coefficient threshold value, it means that the possibility of infection of the wound of the patient is low, and if the infection risk coefficient of the wound of the patient is higher than the preset infection risk coefficient threshold value, it means that the possibility of infection of the wound of the patient is high.

[0042] It should be noted that the swelling area, RGB value, area occupied by exudate and wound area of the patient's wound are obtained using image recognition technology, and the specific process is as follows: first, the contrast of the image is enhanced, the noise of the image is removed and the color is corrected through the histogram equalization algorithm, the Gaussian filter algorithm and the standard color card, then the Canny algorithm is used to identify the wound edge to determine the boundary range of the wound, and the shape and contour change of the wound is analyzed through morphological analysis, the swelling area is calculated according to the contour change, then the wound is divided into multiple sub-regions, and the main RGB value in each sub-region is counted, the RGB value of the wound is obtained according to the main RGB value in each sub-region, and finally the threshold segmentation algorithm is used to separate the exudate and wound tissue in the wound image to obtain the binary image of the exudate and wound, and the pixels of the exudate and wound area in the binary image are counted, and the area occupied by the exudate and the wound area are calculated according to the conversion relationship between the pixels and the actual area determined in advance.

[0043] It should be further pointed out that the swelling area, RGB value, area occupied by exudate and wound area of the wound of the patient with good body recovery status are obtained, and the infection risk coefficient of the patient is calculated, which is used as the preset infection risk coefficient threshold.

[0044] It should be noted that the swelling area threshold and the RGB value threshold are preset by medical staff.

[0045] It should be further pointed out that the weight coefficient of the swelling area, the weight coefficient of the color RGB value and the weight coefficient of the exudate area are set according to the correlation coefficient of the swelling area, the RGB value and the exudate area with wound infection, the higher the correlation coefficient, the greater the weight set, and the sum of the weight coefficient of the swelling area, the weight coefficient of the RGB value and the weight coefficient of the exudate area is 1.

[0046] Step three, analyze the cause of infection: when the patient's wound has a high possibility of infection, obtain each dressing data from the dressing video, obtain the dressing frequency and the content of each nutrient in the patient's body from the database, and analyze the reason why the patient's wound has a high possibility of infection, and develop a solution.

[0047] It should be noted that the image recognition technology is used to obtain each dressing data, and the specific process is as follows: the OpenCV library is used to read the dressing video file, which is parsed into a sequence of images, and the median filter algorithm and histogram equalization algorithm are used to process the video, then the key frames are determined according to the occurrence time of the key actions, and the template matching algorithm and feature point matching algorithm are used to obtain each dressing data in each key frame.

[0048] It should be further pointed out that each dressing data summarizes the area of disinfection, the number of disinfection and the area of dressing, etc.

[0049] In one specific embodiment, the analysis of the cause of infection is specifically as follows: S11, using image recognition technology to identify each dressing data of the medical staff during dressing change, and obtaining the dressing change frequency and the medical history of the patient from the database.

[0050] S12, comparing each dressing data of the medical staff during dressing change with the standard of each dressing data, if there is a dressing data different from the standard number of the dressing data, it represents that the cause of high possibility of wound infection of the patient is that the medical staff does not standardize the dressing change, at the same time, comparing the dressing change frequency of the patient with the preset frequency range, if the dressing change frequency of the patient is not within the preset frequency range, it represents that the cause of high possibility of wound infection of the patient is improper dressing change frequency, at the same time, according to the medical history of the patient, analyzing the immunity of the patient, if the immunity of the patient is poor, it represents that the cause of high possibility of wound infection of the patient is poor immunity.

[0051] It should be noted that the standard of each dressing data and the dressing change frequency range are set by the medical staff.

[0052] S13, according to the cause of high possibility of wound infection of the patient, a solution is developed.

[0053] In the above, the analysis of the immunity of the patient is specifically as follows: obtaining the medical history of the patient from the database, if the medical history of the patient writes that the patient has other diseases, it represents that the immunity of the patient is poor, if the medical history of the patient writes that the patient has no other diseases, obtaining the content of each nutrient in the patient's body and the age of the patient from the medical history of the patient, according to the analysis formula: the immunity coefficient δ of the patient is obtained, in the formula, D a represents the content of the a-th nutrient in the patient's body, E represents the age of the patient, D a ' represents the optimal content of the a-th nutrient, E' represents the optimal age, a represents the number of each nutrient, a = 1, 2, 3,..., b, b represents the total number of nutrients, a and b are both positive integers.

[0054] It should be noted that the optimal content of each nutrient and the optimal age are set by experts.

[0055] Comparing the immunity coefficient of the patient with the preset immunity coefficient threshold, if the immunity coefficient of the patient is higher than the preset immunity coefficient threshold, it represents that the immunity of the patient is good, if the immunity coefficient of the patient is lower than the preset immunity coefficient threshold, it represents that the immunity of the patient is poor.

[0056] It should be further noted that the content of each nutrient and the age of the patient in good physical rehabilitation state are obtained, and the immunity coefficient of the patient is calculated, which is used as the preset immunity coefficient threshold.

[0057] In the above, the solution is formulated, and the specific process is as follows: if the reason why the patient's wound has a high possibility of infection is that the medical staff does not standardize the dressing change, the standard of each dressing change data during dressing change is obtained from the database and sent to the medical staff, the medical staff learns, at the same time, uses normal saline to flush the wound, and uses anti-infective drugs.

[0058] If the reason why the patient's wound has a high possibility of infection is that the dressing change frequency is improper, the patient's dressing change frequency is compared with the preset dressing change frequency range, if the patient's dressing change frequency is lower than the minimum value of the preset dressing change frequency range, the patient's dressing change frequency is increased, and if the patient's dressing change frequency is higher than the maximum value of the preset dressing change frequency range, the patient's dressing change frequency is reduced.

[0059] It should be noted that the dressing change frequency needs to be increased or reduced to the preset dressing change frequency range.

[0060] If the reason why the patient's wound has a high possibility of infection is that the patient's immunity is poor, the patient's medical record is obtained, if the patient's medical record writes that the patient has other diseases, antibiotics are used, if the patient's medical record writes that the patient does not have other diseases, the content of each nutrient in the patient's body is obtained and compared with the standard content range of each nutrient, if the content of a nutrient in the patient's body is not within the standard range of the nutrient content, it means that the nutrient content is abnormal, and in this way, the nutrient content of the patient's body is obtained. Each abnormal nutrient, according to each abnormal nutrient, the patient's diet is formulated.

[0061] It should be noted that when using antibiotics, the type of patient's other diseases needs to be used, and at the same time, the patient's vital signs need to be observed in real time.

[0062] Step four, adjust the rehabilitation nursing scheme: when the patient's wound has a low possibility of infection, judge the recovery speed of the wound, divide the wound into grades according to the patient's age and the recovery speed of the wound, and adjust the rehabilitation nursing scheme.

[0063] In one specific embodiment, the recovery speed of the wound is judged, and the specific process is as follows: S21, obtaining the wound image of the patient, and using image recognition technology to obtain the scab data value of the patient's wound, and using a smart bracelet to collect the motion data value of the patient.

[0064] It should be noted that the process of using image recognition technology to obtain the scab data value of the patient's wound is as follows: using OpenCV library to process the wound image, and extracting the color features of the wound area, at the same time, using gray level co-occurrence matrix to extract the texture features of the wound image, and according to the color features of the wound area and the texture features of the wound image, obtaining the scab data value of the patient's wound.

[0065] It should be noted that each scab data value includes the area of the scab, the area of the newly added scab, and the area of the scab falling off, etc.

[0066] It should be noted that each motion data value includes the duration of the motion, the heart rate during the motion, and the body energy consumption during the motion, etc.

[0067] S22, according to the analysis formula: obtain the recovery index of the wound of the patient In the formula, F c represents the cth scab data value of the wound of the patient, G f represents the fth motion data value of the patient, F c ' represents the preset value threshold of the cth scab data of the wound of the patient, G' f represents the preset value threshold of the fth motion data of the patient, c represents the number of each scab data value, c = 1, 2, 3, …, d, d represents the total number of scab data, f represents the number of each motion data value, f = 1, 2, 3, …, g, g represents the total number of motion data, and c, d, f and g are all positive integers.

[0068] It should be noted that each scab data value threshold and each motion data value threshold are set by medical staff.

[0069] S23, compare the recovery index of the wound of the patient with the preset recovery index, if the recovery index of the wound of the patient is lower than the preset recovery index threshold, it represents that the wound of the patient recovers slowly, and if the recovery index of the wound of the patient is higher than the preset recovery index threshold, it represents that the wound of the patient recovers quickly.

[0070] It should be noted that the scab data values and the motion data values of the patient in good physical rehabilitation state are obtained, and the recovery index of the patient is calculated, which is taken as the preset recovery index threshold.

[0071] In another specific embodiment, the wound is classified, and the specific process is as follows: the age of the patient and the recovery speed of the wound are obtained, the age of the patient is compared with the preset age range, if the age of the patient is in the preset range and the recovery speed of the wound is fast, the wound is classified as a first type of wound, if the age of the patient is in the preset range and the recovery speed of the wound is slow, the wound is classified as a second type of wound, if the age of the patient is not in the preset range and the recovery speed of the wound is fast, the wound is classified as a third type of wound, and if the age of the patient is not in the preset range and the recovery speed of the wound is slow, the wound is classified as a fourth type of wound. In this way, the wound of the patient is classified.

[0072] It should be noted that the preset age range is set by medical staff.

[0073] In another specific embodiment, the rehabilitation nursing program is adjusted, and the specific process is: S31, if the wound of the patient is a class one wound, the training amount of the rehabilitation training of the patient is increased, and the dressing change frequency of the patient is reduced.

[0074] S32, if the wound of the patient is a class two wound, the components of each special medicine and the prices of each special medicine are obtained from the database, the patient's each allergic medicine is obtained from the patient's medical record, the patient's each allergic medicine is compared with the components of each special medicine, if the patient's certain allergic medicine is the same as the component of certain special medicine, it represents that the patient is allergic to the special medicine, if the patient's each allergic medicine is different from the components of certain special medicine, it represents that the patient is not allergic to the special medicine, and the special medicine is called as a standby special medicine, and the patient's each standby special medicine is obtained in this way, and the price, the price and the effect score of each standby special medicine that the patient can accept are obtained, the use index return value of each standby special medicine is analyzed according to the price, the price and the effect score of each standby special medicine that the patient can accept:

[0075]

[0076] In the formula, H i , I i respectively represent the price of the i-th standby special medicine, the effect score of the i-th standby special medicine, H' represents the price that the patient can accept, I i′ represents the price of other standby special medicines, γ i represents the use index return value of the i-th standby special medicine, i represents the number of each standby special medicine, i=1, 2, 3,..., j, j represents the total number of standby special medicines, the set U represents each standby special medicine, then U={1, 2, 3,..., j}, i' represents the number of other standby special medicines, i'∈U and i'≠i, i and j are positive integers.

[0077] It should be noted that, represents that the effect score of the i-th standby special medicine is greater than the effect score of other standby special medicines, represents that there is other standby special medicine whose effect score is greater than the effect score of the i-th standby special medicine.

[0078] It should be further noted that the price of each standby special medicine is set by the manufacturer, and the effect score of each standby special medicine is set by experts according to the experimental results of clinical trials.

[0079] When the use index of a certain standby drug returns a value of 1, the drug used by the patient is replaced with the specific standby drug, and the training amount of the patient's rehabilitation training is increased.

[0080] S33, if the wound of the patient is a three-class wound, the food rich in protein and vitamins is added in the diet of the patient, the dressing change frequency of the patient is reduced, and the training amount of the rehabilitation training of the patient is increased.

[0081] S34, if the wound of the patient is a four-class wound, the food rich in protein and vitamins is added in the diet of the patient, and the training amount of the rehabilitation training of the patient is increased.

[0082] Please refer to Figure 2 As shown in the figure, the second aspect of the present application provides a thoracic surgery postoperative rehabilitation nursing system, comprising: a data acquisition module for acquiring the wound image and the dressing change video of the patient using a medical imaging device during dressing change, and recording the dressing change frequency.

[0083] The data analysis module is used to acquire the wound image of the patient, and simultaneously acquire the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each dressing change using a graphic recognition technology, and obtain the infection risk coefficient β of the wound of the patient according to the analysis formula: A', B' respectively represent the preset swelling area threshold and the preset RGB value threshold, C' represents the area of the wound, A, B and C respectively represent the swelling area, the wound RGB value and the secretion area of the wound of the patient, w1, w2 and w3 respectively represent the weight coefficients of the swelling area, the RGB value and the secretion area, and the infection risk coefficient of the wound of the patient is compared with the preset infection risk coefficient threshold, if the infection risk coefficient of the wound of the patient is lower than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is low, and if the infection risk coefficient of the wound of the patient is higher than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is high.

[0084] The infection analysis module is used to acquire the dressing change data from the dressing change video when the possibility of infection of the wound of the patient is high, acquire the dressing change frequency and the content of each nutrient in the patient's body from the database, and analyze the reason why the possibility of infection of the wound of the patient is high, and meanwhile, a solution is formulated.

[0085] The rehabilitation nursing scheme adjustment module is used to analyze the recovery speed of the wound when the possibility of infection of the wound of the patient is low, classify the wound according to the age of the patient and the recovery speed of the wound, and adjust the rehabilitation nursing scheme of the wound.

[0086] The database is used for storing various data of the wound, various dressing data when medical staffs change dressings, dressing frequency, medical records of the patient and preset values of various data.

[0087] The embodiment of the present application collects the wound image of the patient, obtains various data of the wound of the patient, analyzes the possibility of infection of the wound of the patient, analyzes the reason for the high possibility of infection of the wound of the patient if the possibility of infection of the wound of the patient is high, formulates a solution according to the reason, classifies the wound of the patient according to the age of the patient and the recovery speed of the wound if the possibility of infection of the wound of the patient is low, and adjusts the rehabilitation nursing scheme of the patient according to the classification of the wound of the patient, so that the wound of the patient can be treated in time and the effectiveness of the treatment method is guaranteed, and the recovery speed of the patient is effectively improved.

[0088] The above is only an example and description of the concept of the present application, and those skilled in the art can make various modifications or supplements or use similar ways to replace the described specific embodiments, as long as they do not deviate from the concept of the present application or exceed the scope defined in the specification, which shall belong to the protection scope of the present application.

Claims

1. A thoracic surgery postoperative rehabilitation nursing method, characterized by, The method comprises the following steps: Step one, data collection: when changing the dressing, using medical imaging equipment to collect the wound image and dressing change video of the patient, and recording the number of dressing changes; Step two, data analysis: obtain the wound image of the patient, and obtain the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each dressing change by using image recognition technology, according to the analysis formula: obtain the infection risk coefficient of the wound of the patient , wherein , respectively represent the preset swelling area threshold and the preset RGB value threshold, represent the area of the wound, , , , respectively represent the swelling area, the wound RGB value and the secretion area of the wound of the patient, , , respectively represent the weight coefficient of the swelling area, the weight coefficient of the RGB value and the weight coefficient of the secretion area, compare the infection risk coefficient of the wound of the patient with the preset infection risk coefficient threshold, if the infection risk coefficient of the wound of the patient is lower than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is low, if the infection risk coefficient of the wound of the patient is higher than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is high; Step three, analyze the cause of infection: when the patient's wound has a high possibility of infection, obtain each dressing change data from the dressing change video, obtain the number of dressing changes and the content of each nutrient in the patient's body from the database, and analyze the cause of the patient's wound having a high possibility of infection, and develop a solution; Step four, adjust the rehabilitation nursing plan: when the patient's wound has a low possibility of infection, analyze the recovery speed of the wound, classify the wound according to the patient's age and the recovery speed of the wound, and adjust the rehabilitation nursing plan.

2. The thoracic surgery postoperative care method according to claim 1, characterized by, The specific process of analyzing the cause of infection is as follows: S11, using image recognition technology to identify each dressing change data of the medical staff when changing the dressing, and obtaining the number of dressing changes and the medical history of the patient from the database; S12, compare each dressing change data of the medical staff when changing the dressing with the standard of each dressing change data, if there is a dressing change data different from the standard of the dressing change data, it means that the cause of the patient's wound having a high possibility of infection is that the medical staff does not change the dressing standard, and compare the number of dressing changes of the patient with the preset number of times range, if the number of dressing changes of the patient is not in the preset number of times range, it means that the cause of the patient's wound having a high possibility of infection is that the number of dressing changes is improper, and according to the medical history of the patient, analyze the immunity of the patient, if the immunity of the patient is poor, it means that the cause of the patient's wound having a high possibility of infection is poor immunity; S13, develop a solution according to the cause of the patient's wound having a high possibility of infection.

3. The thoracic surgery postoperative care method according to claim 2, characterized in that, The specific process of analyzing the patient's immunity is as follows: If the patient record has written that the patient has other diseases, it means that the patient's immunity is poor. If the patient record has written that the patient has no other diseases, the content of each nutrient in the patient's body and the patient's age are obtained from the patient record, and the analysis formula is as follows: The immunity coefficient of the patient is obtained In the formula, The content of the first nutrient in the patient's body, The age of the patient, The optimal content of the first nutrient, The optimal age, The number of each nutrient, , The total number of nutrients, And Both are positive integers. Compare the patient's immunity coefficient with the preset immunity coefficient threshold value, if the patient's immunity coefficient is higher than the preset immunity coefficient threshold value, it means that the patient's immunity is good, if the patient's immunity is lower than the preset immunity coefficient threshold value, it means that the patient's immunity is poor.

4. The thoracic surgery postoperative care method according to claim 2, characterized by, The specific process of developing a solution is as follows: If the cause of the patient's wound having a high possibility of infection is that the medical staff does not change the dressing standard, obtain the standard of each dressing change data from the database and send it to the medical staff for learning, at the same time, use physiological saline to flush the wound and use anti-infection drugs; If the cause of the patient's wound having a high possibility of infection is that the number of dressing changes is improper, compare the number of dressing changes of the patient with the preset number of dressing changes range, if the number of dressing changes of the patient is lower than the minimum value of the preset number of dressing changes range, increase the number of dressing changes of the patient, if the number of dressing changes of the patient is higher than the maximum value of the preset number of dressing changes range, reduce the number of dressing changes of the patient; If the patient's wound is likely to be infected due to the patient's poor immunity, the patient's medical record is obtained, if the patient's medical record indicates that the patient has other diseases, an antibiotic is used, if the patient's medical record indicates that the patient has no other diseases, the content of each nutrient in the patient's body is obtained and compared with the standard content range of each nutrient, if the content of a nutrient in the patient's body is not within the standard range of the nutrient content, it represents that the nutrient content is abnormal, in this way, the content of each abnormal nutrient in the patient's body is obtained, and a diet for the patient is formulated according to each abnormal nutrient.

5. The thoracic surgery postoperative care method according to claim 1, characterized in that, The recovery speed of the wound is analyzed, and the specific process is as follows: S21, obtaining the wound image of the patient, and using image recognition technology to obtain each scab data value of the patient's wound, and using a smart bracelet to collect each motion data value of the patient; S22, according to the analysis formula: obtaining a recovery index of the wound of the patient , wherein represents a first scab data value of the wound of the patient, represents a first motion data value of the patient, represents a preset value threshold of a first scab data of the wound of the patient, represents a preset value threshold of a first motion data of the patient, represents a number of each scab data value, , represents a total number of scab data, represents a number of each motion data value, , represents a total number of motion data, , , and are positive integers; S23, comparing the recovery index of the patient's wound with the preset recovery index, if the recovery index of the patient's wound is lower than the preset recovery index threshold, it represents that the patient's wound recovery speed is slow, if the recovery index of the patient's wound is higher than the preset recovery index threshold, it represents that the patient's wound recovery speed is fast.

6. The method for postoperative care of thoracic surgery according to claim 1, wherein The wound is classified, and the specific process is as follows: The age of the patient and the recovery speed of the wound are obtained, the age of the patient is compared with the preset age range, if the age of the patient is within the preset range and the recovery speed of the wound is fast, the wound is classified as a first-class wound, if the age of the patient is within the preset range and the recovery speed of the wound is slow, the wound is classified as a second-class wound, if the age of the patient is not within the preset range and the recovery speed of the wound is fast, the wound is classified as a third-class wound, if the age of the patient is not within the preset range and the recovery speed of the wound is slow, the wound is classified as a fourth-class wound, and the wound of the patient is classified in this way.

7. The method for postoperative care in thoracic surgery according to claim 6, characterized in that, The rehabilitation nursing scheme is adjusted, and the specific process is as follows: S31, if the wound of the patient is a first-class wound, the training amount of the patient's rehabilitation training is increased, and the frequency of the patient's dressing change is reduced; S32, if the patient's wound is a class two wound, obtaining each component of each special medicine and the price of each special medicine from the database, obtaining each allergic medicine of the patient from the patient's medical record, comparing each allergic medicine of the patient with each component of each special medicine, if a certain allergic medicine of the patient is the same as a certain component of a certain special medicine, it means that the patient is allergic to the special medicine, if each allergic medicine of the patient is not the same as each component of a certain special medicine, it means that the patient is not allergic to the special medicine, and the special medicine is called a standby special medicine, obtaining each standby special medicine of the patient in this way, obtaining the price, the price of each standby special medicine and the effect score that the patient can accept, analyzing the use index return value of each standby special medicine according to the price that the patient can accept, the price of each standby special medicine and the effect score: In the formula , respectively represent the price of the first standby special medicine, the effect score of the first standby special medicine, represent the price that the patient can accept, represent the price of other standby special medicines, represent the use index return value of the first standby special medicine, represent the number of each standby special medicine, , represent the total number of standby special medicines, and the set represents each standby special medicine, then , represent the number of other standby special medicines, and , and are positive integers; When the use index return value of a standby drug is 1, the drug used by the patient is replaced with the standby specific drug, and the training amount of the patient's rehabilitation training is increased; S33, if the wound of the patient is a third-class wound, food rich in protein and vitamins is added to the patient's diet, the frequency of the patient's dressing change is reduced, and the training amount of the patient's rehabilitation training is increased; S34, if the wound of the patient is a fourth-class wound, food rich in protein and vitamins is added to the patient's diet, and the training amount of the patient's rehabilitation training is increased.

8. A thoracic surgery postoperative rehabilitation nursing system for performing the thoracic surgery postoperative rehabilitation nursing method according to any one of claims 1 to 7, characterized by It includes: The data acquisition module is used to collect the wound image and dressing change video of the patient using a medical imaging device when dressing change, and record the frequency of dressing change; The data analysis module is used to obtain the wound image of the patient, and uses a graphic recognition technology to obtain the swelling area, RGB value, secretion area and wound area of the wound in the wound image of the patient at each dressing change. According to an analysis formula: obtain the infection risk coefficient of the wound of the patient wherein , respectively represent a preset swelling area threshold and a preset RGB value threshold, represent the area of the wound, , , respectively represent the swelling area, the wound RGB value and the secretion area of the wound of the patient, , , respectively represent a weight coefficient of the swelling area, a weight coefficient of the RGB value and a weight coefficient of the secretion area. The infection risk coefficient of the wound of the patient is compared with a preset infection risk coefficient threshold. If the infection risk coefficient of the wound of the patient is lower than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is low. If the infection risk coefficient of the wound of the patient is higher than the preset infection risk coefficient threshold, it represents that the possibility of infection of the wound of the patient is high. The infection analysis module is used to obtain each dressing change data from the dressing change video when the patient's wound is likely to be infected, obtain the dressing change frequency and the content of each nutrient in the patient's body from the database, analyze the reason why the patient's wound is likely to be infected, and formulate a solution at the same time; The rehabilitation nursing scheme adjustment module is used for analyzing the recovery speed of the wound when the possibility of infection of the wound of the patient is low, grading the wound according to the age of the patient and the recovery speed of the wound, and adjusting the rehabilitation nursing scheme; The database is used for storing various data of the wound, various dressing change data of the medical staff, the number of dressing changes, the medical record of the patient and the preset values of various data.

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