Postoperative auxiliary nursing system for anorectal disease patient

Abstract

The invention discloses a postoperative auxiliary nursing system for anorectal disease patients. The postoperative auxiliary nursing system for the anorectal disease patient comprises a home nursing device and a remote diagnosis device. The home nursing device comprises a home photographing module used for photographing postoperative images of patients with anorectal diseases; the home communication module is used for transmitting the photographed postoperative image of the anorectal disease patient and receiving the nursing measure suggestions sent by the remote diagnosis device; the remote diagnosis device comprises a remote diagnosis module and a remote diagnosis module, wherein the remote diagnosis module is used for receiving the postoperative image of the anorectal disease patient and judging the postoperative recovery state of the anorectal disease patient according to the received postoperative image of the anorectal disease patient; and the nursing measure suggestion generation module is used for providing anorectal nursing measure suggestions for being sent to the home nursing device according to the judged operation recovery state of the anorectal disease patient. The image of the anorectum part is captured at any place, intelligent analysis can be carried out, and the condition in the anorectum can be monitored in real time.

Description

Technical Field

[0001] The invention relates to a medical system, in particular to a post-operative auxiliary nursing system for patients with anorectal diseases. Background Art

[0002] Anorectal surgical diseases such as hemorrhoids, anal fistulas, and anal fissures are prevalent, and a considerable proportion of patients require surgical treatment. Due to their unique anatomical location and pathological characteristics, postoperative wound care for such patients is particularly important. The problem with the traditional wound dressing model is that patients need to frequently go back and forth to the hospital for dressing changes every day, which not only increases medical costs, but also increases patient pain, prolongs wound healing time, and increases patient transportation, time costs, and psychological pressure.

[0003] Therefore, the dressing change model centered on home care transfers part of the hospital dressing change nursing work to home care work. This model not only reduces the medical burden of patients, but also alleviates the pressure on medical institutions in bed turnover, medical staff allocation, etc., and realizes the optimal allocation of medical resources.

[0004] Problems with the current family management model:

[0005] 1. Although medical staff have been trained for dressing changes at home, patients may still be unable to perform the operation themselves due to different wound conditions at home;

[0006] 2. Although medical staff have been trained for dressing changes at home, patients may still be unable to perform the operation themselves due to different wound conditions at home;

[0007] 3. Patients cannot complete wound healing assessments for anorectal diseases or manage pain in real time when changing dressings at home;

[0008] 4. Unable to provide professional guidance on dressing changes for special cases of anorectal diseases;

[0009] 5. It is impossible to complete real-time monitoring and information transmission of skin lesions. Summary of the invention

[0010] The purpose of the present invention is to provide a postoperative auxiliary nursing system for patients with anorectal diseases, so that family members of patients and medical staff can monitor the patient's wound condition in real time through this device, and at the same time can provide remote guidance to the patient to improve the patient's quality of life.

[0011] A postoperative auxiliary nursing system for patients with anorectal diseases of the present invention comprises a home nursing device and a remote diagnosis device.

[0012] The home care device of the present invention comprises: a home photography module for photographing postoperative images of anorectal disease patients; and a home communication module for transmitting the photographed postoperative images of anorectal disease patients and receiving nursing measures suggestions sent by the remote diagnosis device.

[0013] The remote diagnosis device of the present invention includes: a remote diagnosis module for receiving postoperative images of the anorectal disease patient and judging the postoperative recovery status of the anorectal disease patient based on the received postoperative images of the anorectal disease patient; and a nursing measure recommendation generation module for providing anorectal nursing measure recommendations for sending to a home care device based on the judged postoperative recovery status of the anorectal disease patient.

[0014] Preferably, the nursing measures recommended for sending to the home care device include the use of antibiotics, scraping of rotten granulation tissue on the wound surface, debridement and dressing change, washing of the wound surface, tampon drainage, etc., involving all wound recovery conditions, providing medical treatment and follow-up for the patient, and other related nursing measures guidance.

[0015] Preferably, the remote diagnosis module includes: an image blur degree determination module, which is used to determine the blur degrees of multiple postoperative images of patients with anorectal diseases taken by the home photography module; a postoperative image to be diagnosed determination module, which is used to compare the blur degrees of the multiple postoperative images of patients with anorectal diseases and determine the postoperative image of the patient with anorectal diseases with the lowest blur degree obtained after comparison as the postoperative image to be diagnosed.

[0016] Preferably, the remote diagnosis module further comprises an image uprighting unit for adjusting the postoperative image to be diagnosed to an upright position.

[0017] Preferably, the image uprighting unit comprises: a recognition module for identifying the buttocks seam in the postoperative image to be diagnosed; an angle determination module for determining the angle between the buttocks seam and the upright vertical line in the postoperative image to be diagnosed; and a rotation module for rotating the postoperative image to be diagnosed to the upright position according to the determined angle.

[0018] Preferably, the remote diagnosis module also includes a diagnosis module for determining the patient's postoperative recovery status based on the upright postoperative images to be diagnosed; the nursing measure recommendation generation module generates anorectal care measure recommendations for sending to the home care device based on the patient's postoperative recovery status determined by the diagnosis module.

[0019] Preferably, the diagnosis module is an AI diagnosis module, which is used to output the judgment result of the patient's postoperative recovery status by inputting the upright postoperative image to be diagnosed.

[0020] Preferably, the diagnosis module includes: an image database storing all existing postoperative recovery images of patients with anorectal diseases; an image comparison module for comparing the upright postoperative images to be diagnosed with the images in the image database, so as to find the same or similar postoperative images; and the nursing measure recommendation generation module generates nursing measure recommendations for sending to the home device based on the found postoperative images.

[0021] Preferably, the image database stores images of well-healed wounds, images of good first-stage wound healing, images of red rashes, images of little purulent secretions, images of reduced purulent secretions, images of non-healed wounds, images of slow healing of anal fissures, local recurrences, and other images involving all wound conditions.

[0022] Preferably, the nursing measure recommendation generation module includes: a nursing measure recommendation database that stores nursing measure recommendations corresponding to each image in the image database; and a nursing measure recommendation acquisition module, which is used to acquire the nursing measure recommendations corresponding to the found postoperative images based on the one-to-one correspondence between the nursing measure recommendations and the postoperative images in the nursing measure recommendation database and the image database.

[0023] Preferably, the nursing measure suggestion generating module includes a video guidance module for generating video nursing guidance video images for guiding the patient's family members to care for the patient.

[0024] The home care device of the present invention is light in weight, easy to operate and carry, can be used for detection at any location, and can detect potential problems of patients at an early stage; it can capture images of the anorectal area, and can perform intelligent analysis to provide real-time monitoring of the internal conditions of the anorectal area.

[0025] The present invention can formulate personalized dressing change and guidance plans for patients: based on big data artificial intelligence, it targets patients' physiological characteristics and nursing needs, as well as diverse needs, and reduces the workload of medical staff.

[0026] By applying the present invention, the cost of unnecessary frequent visits to the doctor can be reduced, effectively reducing medical costs. In addition, the human cost of the hospital can be reduced through the intelligent customer service and guidance system, bringing economic benefits to the medical institution.

[0027] By applying AI technology to the medical field, the present invention can optimize the allocation of medical resources, improve the efficiency and quality of medical services, and thus enhance the economic value of medical institutions.

[0028] The present invention can also improve patient satisfaction: provide personalized services, improve patient medical experience, reduce waiting time, and remote monitoring equipment facilitates patient self-management, thereby improving patient satisfaction.

[0029] The present invention can also provide personalized treatment plans to enhance treatment effects, thereby improving the health outcomes of patients.

[0030] The present invention is described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a schematic diagram of a postoperative auxiliary nursing system for patients with anorectal diseases according to the present invention;

[0032] Figure 2 It is a detailed schematic diagram of a postoperative auxiliary nursing system for patients with anorectal diseases according to the present invention;

[0033] Figure 3 It is a schematic diagram of a first embodiment of a postoperative auxiliary nursing system for patients with anorectal diseases of the present invention;

[0034] Figure 4 It is a schematic diagram of a second embodiment of a remote diagnosis device of a postoperative auxiliary nursing system for anorectal disease patients of the present invention;

[0035] Figure 5 It is a schematic diagram of a third embodiment of a postoperative auxiliary nursing system for patients with anorectal diseases of the present invention;

[0036] Figure 6 It is a schematic diagram of a fourth embodiment of a postoperative auxiliary nursing system for patients with anorectal diseases of the present invention;

[0037] Figure 7 It is a schematic diagram of a fifth embodiment of a postoperative auxiliary nursing system for patients with anorectal diseases according to the present invention;

[0038] Figure 8 It is a schematic diagram of the postoperative images, diagnosis and treatment measures of anorectal patients according to the present invention. DETAILED DESCRIPTION

[0039] Figure 1 The basic structure of the postoperative auxiliary nursing system for anorectal disease patients of the present invention is shown, including a home care device and a remote diagnosis device. The home care device is used to take pictures of the postoperative images of the anorectal disease patients, transmit the postoperative images of the anorectal disease patients to the remote diagnosis device through a wireless or wired network, and receive nursing measures suggestions from the remote diagnosis device. The remote diagnosis device generates nursing measures suggestions based on the postoperative images of the anorectal disease patients from the home care device and sends them to the home care device.

[0040] Figure 2The specific structure of the postoperative auxiliary care system for patients with anorectal diseases is shown. Among them, the home care device may include: a home photography module for taking photos of postoperative images of patients with anorectal diseases; a home communication module for transmitting the photographed postoperative images of patients with anorectal diseases and receiving nursing measures suggestions sent by the remote diagnosis device. The home care device may be an intelligent mobile terminal, such as a smart phone. The remote diagnosis device is set on the network side, and may include: a remote diagnosis module for receiving the postoperative images of the anorectal disease patients and judging the postoperative recovery status of the anorectal disease patients based on the received postoperative images of the anorectal disease patients; a nursing measures suggestion generation module for providing anorectal nursing measures suggestions for sending to the home care device based on the judged postoperative recovery status of the anorectal disease patients.

[0041] The anorectal care measures recommended by the present invention include the use of antibiotics, scraping of rotten granulation tissue on the wound surface, debridement and dressing change, flushing of the wound surface, tampon drainage, overflow of solution, medical treatment and follow-up examination, etc.

[0042] Figure 3 The first embodiment of the postoperative auxiliary care system for anorectal disease patients of the present invention is shown. Since the postoperative image of the patient is the only basis for remote diagnosis, and the patient's family may take a shaky image, in the first embodiment, the remote diagnosis device can require the home care device to send a plurality of postoperative images taken separately, so that the remote diagnosis module can select a clear postoperative image that can be correctly diagnosed. To this end, the remote diagnosis device of the first embodiment includes: an image blur determination module, which is used to determine the blurriness or clarity of the plurality of postoperative images of anorectal disease patients taken by the home photography module; a postoperative image determination module to be diagnosed, which is used to compare the blurriness or clarity of the plurality of postoperative images of anorectal disease patients, and determine the postoperative image of the anorectal disease patient with the lowest blurriness or the highest clarity obtained after comparison as the postoperative image to be diagnosed.

[0043] The image blur determination module of the first embodiment can determine the blur or clarity of the postoperative image through the following known technologies: 1. Variance of Laplacian: This is a commonly used image blur evaluation method. The Laplacian operator is used to measure the second-order derivative of the image, emphasizing the areas in the image that contain rapid intensity changes, that is, the edges. If the image contains a high variance, it means that the image has a wide range of responses, including edges and non-edges, indicating that the image is clearer. If the variance is very low, the range of the response is very small, indicating that the edges in the image are small and the image is blurry. 2. Grayscale variance algorithm: This algorithm is based on Figure 1.Using the grayscale average value of all pixels as a reference, the grayscale value of each pixel is subtracted and the square sum is calculated, and then normalized with the total number of pixels. It characterizes the average degree of grayscale change in the image. The greater the average degree of grayscale change, the clearer the image; the smaller the average degree of grayscale change, the blurrier the image. 3. Grayscale difference absolute value sum variance algorithm: This method evaluates the blur of the image by calculating the sum of the absolute values ​​of the image differences in the x-direction and y-direction as a metric. 4. Grayscale difference square sum variance algorithm: This method evaluates the blur of the image by calculating the sum of the squares of the grayscale differences of the image. 5. Gradient size: The gradient of the edge of the image can measure the blur of the image. The larger the gradient, the clearer the image.

[0044] Alternatively, the remote diagnosis device may also request the home care device to retake the postoperative image after determining that the clarity of a postoperative image sent by the home care device does not meet the requirements. Therefore, the image blur determination module may also determine the blur of the postoperative image, determine whether the blur of the postoperative image is greater than the blur threshold, and if both are greater than the blur threshold, send a request to the home care device to retake the postoperative image, and repeat the process of determining the image blur and determining whether the blur of the postoperative image is greater than the blur threshold until a postoperative image that meets the clarity requirements is obtained.

[0045] In addition, when the home care device takes a picture of the anorectal patient's postoperative position, it is possible to take a non-standard image, such as a tilted image. Therefore, the remote diagnosis device will receive images taken at different angles, and cannot quickly and accurately determine the pixel position corresponding to the anorectal position of the target image, and cannot obtain the pixel value of the pixel corresponding to the anorectal position, and cannot further determine the anorectal patient's postoperative recovery status. Therefore, the remote diagnosis module of the first embodiment of the present invention also includes an image upright unit, which is used to adjust the postoperative image to be diagnosed to an upright position or a standard position.

[0046] In the first embodiment, the remote diagnosis module also includes a diagnosis module for determining the patient's postoperative recovery status based on the upright postoperative images to be diagnosed, so that the nursing measure recommendation generation module generates anorectal care measure recommendations for sending to the home care device based on the patient's postoperative recovery status determined by the diagnosis module.

[0047] Figure 4 A second embodiment of the post-operative auxiliary care system for anorectal disease patients of the present invention is shown.

[0048] The second embodiment is similar to the first embodiment in that it also includes: an image blur degree determination module for determining the blur or clarity of multiple postoperative images of patients with anorectal diseases taken by a home photography module; a postoperative image to be diagnosed determination module for determining a postoperative image of a patient with anorectal diseases with the lowest blur or the highest clarity as the postoperative image to be diagnosed; an image uprighting unit for adjusting the postoperative image to be diagnosed to an upright position or a standard position; and a diagnosis module for judging the patient's postoperative recovery status based on the upright postoperative image to be diagnosed.

[0049] The difference between the second embodiment of the present invention and the first embodiment is that the structure of the image normalization unit is refined, and the determination module of the first embodiment is further limited to an AI diagnosis module.

[0050] The image uprighting unit of the second embodiment of the present invention comprises: a recognition module for identifying the buttocks seam in the postoperative image to be diagnosed; an angle determination module for determining the angle between the buttocks seam and the upright vertical line in the postoperative image to be diagnosed; and a rotation module for rotating the postoperative image to be diagnosed to the upright position according to the determined angle.

[0051] Specifically, first determine whether the postoperative image is an image captured when the camera module is upright based on the position information of the result display area in the postoperative image, such as the buttocks seam information; if the obtained target image is an image captured when the camera module is tilted, rotate the target image so that the result display area in the rotated postoperative image is upright, that is, the angle between the buttocks seam in the result display area in the rotated postoperative image target image and the horizontal direction is less than or equal to a preset angle threshold.

[0052] The buttocks cleft is a gap that runs through the anus, and the buttocks cleft is approximately a straight line. Using the buttocks cleft to determine the rotation angle can save the traditional operation of setting reference marks in the image display area, which is one of the characteristics of the present invention. The present invention first establishes a rectangular coordinate system in the display area of ​​the image, and then simulates the buttocks cleft straight line according to the buttocks cleft in the postoperative image (or intercepts the approximate straight line segment of the buttocks cleft), and then obtains the X and Y coordinates of two points on the buttocks cleft straight line, such as (x1, y1) and (x2, y2), to obtain a right triangle, thereby obtaining the angle between the buttocks cleft and the horizontal direction. Then, the postoperative image is rotated according to the angle or the absolute value of the angle so that the buttocks cleft is perpendicular to the X coordinate.

[0053] The A1 diagnosis module of the second embodiment can be obtained by training an AI model such as Yolov5. First, a picture training data set is constructed, which includes the following: Figure 8The multiple images of anorectal patients after surgery are shown (the more images, the better the training effect, preferably thousands of images), each of which can be processed by the above-mentioned orientation; and each image has a known diagnosis result, such as good recovery, inflammation, need for treatment, etc. Then use the images marked with the diagnosis results as training data to train the AI ​​model.

[0054] Alternatively, the images in the image dataset may also include upright post-operative images and inverted post-operative images (images obtained by rotating the upright images 180 degrees) and post-operative images at various angles, so as to train an A1 diagnosis module capable of diagnosing post-operative images of anorectal patients taken from various angles by home care devices, thereby omitting the above-mentioned upright module.

[0055] Figure 5 A third embodiment of the post-operative auxiliary care system for anorectal disease patients of the present invention is shown.

[0056] The third embodiment is similar to the second embodiment in that it also includes: an image blur degree determination module for determining the blur or clarity of multiple postoperative images of anorectal disease patients taken by a home photography module; a postoperative image to be diagnosed determination module for determining a postoperative image of anorectal disease patient with the lowest blur or the highest clarity as the postoperative image to be diagnosed; an image uprighting unit for adjusting the postoperative image to be diagnosed to an upright position or a standard position; and a diagnosis module for judging the patient's postoperative recovery status based on the upright postoperative image to be diagnosed.

[0057] The third embodiment differs from the second embodiment in that the diagnosis module comprises: an image database storing all existing postoperative recovery images of patients with anorectal diseases; and an image comparison module for comparing the upright postoperative images to be diagnosed with the images in the image database, so as to find the same or similar postoperative images of anorectal patients.

[0058] The image database is stored as Figure 8 The images shown are known to be well healed, images of good primary wound healing, images of red rash, images of little purulent discharge, images of reduced purulent discharge, images of non-healing wounds, images of slow healing of anal fissures, images of local recurrence, and images not included in Figure 8 Postoperative images of other anorectal patients in.

[0059] The postoperative images in the image database are all upright images, and multiple image features corresponding to each image are stored. When performing image comparison, the image comparison module can first extract multiple image features from the upright postoperative image to be diagnosed, and then compare the extracted image features with multiple image features of each image in the image database to determine the similarity of the two compared images, and then determine whether to find an image that is the same or similar to the postoperative image of the anorectal patient from the image database based on the determined similarity.

[0060] Alternatively, the upright postoperative image to be diagnosed of the present invention is obtained by rotating the postoperative image to be diagnosed according to the angle between the buttocks and the horizontal direction. In actual processing, the postoperative image to be diagnosed can be rotated according to the absolute value of the angle between the buttocks and the horizontal direction, so that the buttocks of the postoperative image of the anorectal patient is perpendicular to the horizontal direction, thereby simplifying the processing of the upright image. The "upright" referred to in the present invention includes the upright and inverted in the traditional sense. For this purpose, the upright and inverted postoperative images marked with the diagnosis results can be saved in the image database. The image comparison module not only compares the postoperative image to be diagnosed that has been processed by "upright" with the upright image in the image database, but also compares the inverted image.

[0061] Figure 6 A fourth embodiment of the postoperative auxiliary care system for anorectal disease patients of the present invention is shown.

[0062] The fourth embodiment and Figure 3 The same as the first embodiment shown is that it also includes: an image blur degree determination module for determining the blur or clarity of multiple postoperative images of patients with anorectal diseases taken by a home photography module; a postoperative image determination module for determining a postoperative image of a patient with anorectal diseases with the lowest blur or the highest clarity as the postoperative image to be diagnosed; an image uprighting unit for adjusting the postoperative image to be diagnosed to an upright position or a standard position; and a diagnosis module for judging the patient's postoperative recovery status based on the upright postoperative image to be diagnosed.

[0063] The fourth embodiment of the present invention differs from the first embodiment in that an expert diagnosis module is provided in the remote diagnosis device, and a feedback module is provided in the home care module.

[0064] When the diagnosis module cannot determine the patient's postoperative recovery status based on the upright postoperative images to be diagnosed, it will send an expert diagnosis request to the expert diagnosis module, requesting the expert to make a diagnosis. The expert diagnosis module can be an instant video communication module, such as a video module such as WeChat or Tencent Conference. The expert diagnosis module connects to the expert communication terminal based on the request and receives the postoperative images of the anorectal patient. After the expert determines the postoperative recovery status of the anorectal patient, the nursing measures recommended by the expert are sent to the home care device via the expert diagnosis module and the nursing measures generation module.

[0065] The feedback module is used to timely feed back various situations of the care of the anorectal patient according to the nursing measures to the remote diagnosis device. The feedback module usually feeds back the anorectal patient's condition in text form.

[0066] In addition, the image database of the present invention can also store expert-diagnosed pictures in the picture database.

[0067] The nursing measure recommendation generation module in the above-mentioned embodiments of the present invention includes: a nursing measure recommendation database that stores nursing measure recommendations corresponding to each image in the image database; a nursing measure recommendation acquisition module, which is used to obtain the nursing measure recommendations corresponding to the found postoperative images based on the one-to-one correspondence between the nursing measure recommendations and the postoperative images in the nursing measure recommendation database and the image database.

[0068] The nursing measure suggestion acquisition module obtains the corresponding nursing measure suggestions through the mapping relationship between the postoperative images and the corresponding nursing measure suggestions.

[0069] Figure 7 A fifth embodiment of the postoperative auxiliary care system for anorectal disease patients of the present invention is shown.

[0070] The fifth embodiment of the present invention is similar to the other embodiments described above in that it also includes: an image blur degree determination module for determining the blur or clarity of multiple postoperative images of patients with anorectal diseases taken by a home photography module; a postoperative image determination module for determining a postoperative image of a patient with anorectal diseases with the lowest blur or the highest clarity as the postoperative image to be diagnosed; an image uprighting unit for adjusting the postoperative image to be diagnosed to an upright position or a standard position; and a diagnosis module for judging the patient's postoperative recovery status based on the upright postoperative image to be diagnosed.

[0071] The main difference between the fifth embodiment of the present invention and the other embodiments mentioned above is that a video guidance module is added to the nursing measure suggestion generation module, which generates a specific operation video for executing the nursing measure suggestion based on the nursing measure suggestion from the nursing measure suggestion acquisition module, so as to guide the family members of the anorectal patient to accurately execute the nursing measure suggestion sent by the remote diagnosis device.

[0072] The video guidance module stores a real-person nursing operation video or an animated nursing operation video that corresponds to the nursing measure suggestions. For example, when the video guidance module receives a nursing measure suggestion for scraping away the rotten granulation tissue on the wound surface from the nursing measure suggestion acquisition module, the video guidance module acquires a real-person or animated video of scraping away the rotten granulation tissue on the wound surface according to the mapping relationship between the suggestion and the corresponding video image, and sends the video to the home care device via the nursing measure suggestion acquisition module, so that the family of the anorectal patient can scrape away the rotten granulation tissue on the wound surface of the anorectal patient according to the real-person or animated image of scraping away the rotten granulation tissue on the wound surface displayed on the screen of the home care device.

[0073] It should be pointed out that Figure 8 The postoperative images of anorectal patients are only used for illustrative purposes and are not used to limit the postoperative images of anorectal patients. In addition, when using these images to establish a training image data set and an image database, they need to be processed for normalization.

[0074] on the other hand, Figure 8 A mapping relationship is set between the diagnosis result shown and the corresponding nursing measure suggestion, so that the nursing measure suggestion acquisition module obtains the nursing measure suggestion according to the mapping relationship.

[0075] The home care device of the present invention is light in weight, easy to operate and carry, can be used for detection at any location, and can detect potential problems of patients at an early stage; it can capture images of the anorectal area and perform intelligent analysis to provide real-time monitoring of the internal conditions of the anorectal area.

[0076] The present invention can formulate personalized dressing change and guidance plans for patients: based on big data artificial intelligence, it targets patients' physiological characteristics and nursing needs, as well as diverse needs, and reduces the workload of medical staff.

[0077] By applying the present invention, the cost of unnecessary frequent visits to the doctor can be reduced, effectively reducing medical costs. In addition, the human cost of the hospital can be reduced through the intelligent customer service and guidance system, bringing economic benefits to the medical institution.

[0078] By applying AI technology to the medical field, the present invention can optimize the allocation of medical resources, improve the efficiency and quality of medical services, and thus enhance the economic value of medical institutions.

[0079] The present invention can also improve patient satisfaction: provide personalized services, improve patient medical experience, reduce waiting time, and remote monitoring equipment facilitates patient self-management, thereby improving patient satisfaction.

[0080] The present invention can also provide personalized treatment plans to enhance treatment effects, thereby improving the health outcomes of patients.

[0081] The present invention can provide patients with more information support, promote communication between doctors and patients, and enhance patients' trust in medical services.

[0082] The present invention enables patients to obtain medical information conveniently and quickly, understand their own condition, and communicate effectively with doctors, thereby increasing patients' sense of trust and strengthening the doctor-patient relationship.

[0083] Although the present invention is described in detail above, the present invention is not limited thereto, and those skilled in the art can make various modifications based on the principles of the present invention. Therefore, all modifications made based on the principles of the present invention should be understood to fall within the protection scope of the present invention.

Claims

1. A postoperative auxiliary care system for patients with anorectal diseases, including a home care device and a remote diagnosis device: The home care device comprises: A home photography module for taking postoperative images of patients with anorectal diseases; A home communication module for transmitting the photographed postoperative images of anorectal disease patients and receiving nursing measures suggestions sent by the remote diagnosis device; The remote diagnosis device comprises: A remote diagnosis module for receiving the postoperative images of the anorectal disease patient and determining the postoperative recovery status of the anorectal disease patient according to the received postoperative images of the anorectal disease patient; A nursing measure suggestion generating module is used to provide anorectal nursing measure suggestions for sending to a home care device based on the determined postoperative recovery status of anorectal disease patients.

2. The postoperative auxiliary nursing system for patients with anorectal diseases according to claim 1 is used to send nursing measures suggestions to home care devices, including the use of antibiotics, scraping of rotten granulation tissue on the wound surface, debridement and dressing, flushing of the wound surface, tampons for drainage, etc., involving all wound recovery conditions, and guiding patients to seek medical treatment and follow-up examinations.

3. According to the postoperative auxiliary nursing system for anorectal disease patients according to claim 2, the remote diagnosis module comprises: An image blur level determination module is used to determine the blur levels of multiple images of patients with anorectal diseases after surgery taken by the home photography module; The module for determining the postoperative image to be diagnosed is used to compare the blur levels of the multiple postoperative images of patients with anorectal diseases and determine the postoperative image of the patient with anorectal diseases with the lowest blur level obtained after comparison as the postoperative image to be diagnosed.

4. According to the postoperative auxiliary care system for patients with anorectal diseases in claim 3, the remote diagnosis module also includes an image correction unit for adjusting the postoperative image to be diagnosed to a correct position.

5. According to the postoperative auxiliary nursing system for anorectal disease patients according to claim 4, the image normalization unit comprises: A recognition module for recognizing the buttocks cleft in the postoperative image to be diagnosed; An angle determination module for determining the angle between the buttocks seam and the upright vertical line in the postoperative image to be diagnosed; A rotation module is used to rotate the postoperative image to be diagnosed to the upright position according to the determined angle.

6. According to the postoperative auxiliary nursing system for anorectal disease patients in claim 5, the remote diagnosis module further comprises a diagnosis module for judging the patient's postoperative recovery status according to the upright postoperative images to be diagnosed; The nursing measure suggestion generating module generates anorectal nursing measure suggestions for sending to a home care device according to the postoperative recovery status of the patient determined by the diagnosis module.

7. According to the postoperative auxiliary nursing system for patients with anorectal diseases in claim 5, the diagnosis module is an AI diagnosis module, which is used to output the judgment result of the patient's postoperative recovery status by inputting the upright postoperative image to be diagnosed.

8. According to the postoperative auxiliary nursing system for anorectal disease patients according to claim 5, the diagnosis module comprises: An image database storing all existing postoperative recovery images of patients with anorectal diseases; An image comparison module is used to compare the upright postoperative images to be diagnosed with the images in the image database, so as to find the same or similar postoperative images; The nursing measure suggestion generating module generates nursing measure suggestions for sending to the home device based on the found postoperative images.

9. According to the postoperative auxiliary care system for patients with anorectal diseases as described in claim 8, the image database stores images of good healing, images of good first-stage healing of wounds, images of red rashes, images of not much purulent secretions, images of reduced purulent secretions, images of non-healing wounds, images of slowly healing anal fissures, and images of local recurrences.

10. According to the postoperative auxiliary nursing system for anorectal disease patients as claimed in claim 8, the nursing measure suggestion generating module comprises: a nursing measure suggestion database storing nursing measure suggestions corresponding to each image in the image database; The nursing measure suggestion acquisition module is used to acquire the nursing measure suggestion corresponding to the found postoperative image according to the one-to-one correspondence between the nursing measure suggestion and the postoperative image in the nursing measure suggestion database and the image database.

Images