Enterostomy patient continuous nursing comprehensive service system based on applet and cloud platform

Abstract

The invention discloses an intestinal stoma patient continuous nursing comprehensive service system based on an applet and a cloud platform, and belongs to the technical field of intestinal stoma nursing services, and the system comprises a user terminal, a platform terminal and a medical terminal. The platform end comprises a medical care module, a database and a data analysis module; the medical care module is used for setting and updating a medical care information table; the database is used for data storage and management; the data analysis module is used for analyzing the enterostomy data of the patient to obtain an enterostomy analysis result of the patient; the medical care terminal comprises a medical care service module; the medical care service module is used for medical care communication between medical care personnel and corresponding patients; the user side comprises an information recording module and an information communication module; the information recording module is used for recording enterostomy data of a patient in real time, sending the enterostomy data to the platform end, receiving an enterostomy analysis result fed back by the platform end in real time, and displaying the enterostomy analysis result to a user; and the information communication module is used for information communication between the patient and the medical staff.

Description

Technical Field

[0001] The present invention belongs to the technical field of enterostomy care services, and specifically relates to a comprehensive continuous care service system for enterostomy patients based on a mini-program and a cloud platform. Background Art

[0002] Enterostomy surgery is a surgical procedure in which a surgeon creates an artificial opening on the abdominal wall to treat certain intestinal diseases. A section of the intestine is pulled out through the opening and sutured to the abdominal wall, forming an enterostomy. This surgery is commonly used in the surgical treatment of diseases such as rectal cancer and colon cancer. However, enterostomy surgery can impose long-term physical and psychological burdens on patients. Therefore, professional continuous care becomes particularly important.

[0003] Currently, the continuous care of enterostomy patients mainly relies on traditional care methods, such as home visits and follow-up visits to the enterostomy specialist clinic. However, these methods have many deficiencies. For example, home visits are limited by factors such as the number of nursing staff and transportation, making it difficult to meet the patients' needs in a timely manner; the enterostomy specialist clinic is limited by the visiting time and location, and patients often need to spend a lot of time and energy traveling to the hospital for treatment.

[0004] In addition, enterostomy patients also face many challenges in their daily lives. Due to the presence of the stoma, patients need to regularly change the ostomy bag, clean the stoma, etc. These operations are not only cumbersome but also prone to complications such as infection, resulting in many medical care problems that patients hope to be resolved in a timely manner. At the same time, the psychological state of stoma patients also deserves attention. They often suffer from psychological problems such as low self-esteem and anxiety due to the presence of the stoma.

[0005] Based on this, the present invention provides a comprehensive continuous care service system for enterostomy patients based on a mini-program and a cloud platform. Summary of the Invention

[0006] In order to solve the problems existing in the above solutions, the present invention provides a comprehensive continuous care service system for enterostomy patients based on a mini-program and a cloud platform.

[0007] The object of the present invention can be achieved by the following technical solutions:

[0008] A comprehensive continuous care service system for enterostomy patients based on a mini-program and a cloud platform, comprising a user terminal, a platform terminal, and a medical staff terminal;

[0009] The platform terminal includes a medical staff module, a database, and a data analysis module;

[0010] The medical staff module is used to set and update the medical staff information table, which is used to count the medical staff information and working status of the corresponding medical staff.

[0011] Further, the medical care value of the medical staff is counted in the medical care information table.

[0012] Further, the calculation method of the medical care value includes:

[0013] Obtain the medical care record data of the medical staff, and evaluate the professional ability value of the medical staff in real time according to the medical care record data and the medical staff information; obtain the service score of the medical staff;

[0014] Input the service score and the professional ability value into a preset medical care value calculation formula to calculate the medical care value of the medical staff; the medical care value calculation formula is:

[0015] YH = b 1 ×ZN + b 2 ×PF;

[0016] In the formula: YH is the medical care value; ZN is the professional ability value; PF is the service score; b 1 、b 2 are both proportionality coefficients, and the value range is 0 < b 1 ≤1, 0 < b 2 ≤1.

[0017] The database is used for data storage and management;

[0018] Further, the data stored in the database includes enterostomy data, and the enterostomy data sent by the user terminal is classified and stored according to the patient information.

[0019] Further, the method for data management includes:

[0020] Identify the patient storage data of each patient in real time, perform real-time summary analysis on the patient storage data, and obtain the convenient display data of the patient.

[0021] Further, the method for performing real-time summary analysis on the patient storage data includes:

[0022] The platform party sets the display items corresponding to the convenient display data and the convenient display requirements, sets the data summary plan according to the convenient display requirements; and performs real-time optimization and adjustment on the data summary plan according to the convenient display requirements;

[0023] Collect and summarize the patient storage data in real time according to the display items and the data summary plan to obtain the convenient display data of the patient.

[0024] Further, the method for performing real-time optimization and adjustment on the data summary plan according to the convenient display requirements includes:

[0025] Determine a new candidate summary plan in real time according to the convenient display requirements and the data summary plan; compare the efficiency of the candidate summary plan with the data summary plan to obtain an efficiency comparison result;

[0026] Determine an evaluation plan according to the efficiency comparison result, conduct an application evaluation on the evaluation plan to obtain a plan evaluation result, and determine whether to adjust the data summary plan according to the evaluation plan according to the plan evaluation result.

[0027] Furthermore, the method for obtaining the candidate summary plan includes:

[0028] Determine the corresponding initial summary plan in real time according to the data summary plan, and update the corresponding initial record table according to the initial summary plan. The initial record table is used to count the corresponding data summary plan information and initial plan information;

[0029] When the initial record table is updated according to the initial summary plan, judge whether the initial summary plan meets the convenient display requirements, mark the initial summary plan that meets the convenient display requirements as the candidate summary plan; delete the initial summary plan that does not meet the convenient display requirements;

[0030] When the initial record table is not updated according to the initial summary plan, delete the initial summary plan.

[0031] Furthermore, the method for judging whether the initial summary plan meets the convenient display requirements includes:

[0032] Establish a plan verification model, and the expression of the plan verification model is:

[0033]

[0034] In the formula: (CF, BY) is the input data, CF is the initial summary plan; BY is the convenient display requirement; CF→BY means that the initial summary plan meets the convenient display requirement; the output data is the plan verification value FH(CF, BY), and the plan verification value is 1 or 0;

[0035] Analyze the initial summary plan through the plan verification model to obtain the plan verification value of the initial summary plan;

[0036] When the plan verification value is 1, judge that the initial summary plan meets the convenient display requirements;

[0037] When the plan verification value is 0, judge that the initial summary plan does not meet the convenient display requirements.

[0038] The data analysis module is used to analyze the enterostomy data of patients, obtain the enterostomy analysis results of patients, store the enterostomy analysis results in a database, and feedback the enterostomy analysis results to the corresponding client.

[0039] Further, the platform side further includes a psychological assessment module, which is used to conduct a psychological assessment on patients, obtain the psychological assessment results of patients, and store the psychological assessment results in a database.

[0040] The medical staff side includes a medical service module;

[0041] The medical service module is used for medical staff to communicate with corresponding patients.

[0042] The client includes an information recording module and an information communication module;

[0043] The information recording module is used to record the enterostomy data of patients in real time, send the enterostomy data to the platform side, and receive the enterostomy analysis results feedback by the platform side in real time, and display the enterostomy analysis results to users.

[0044] The information communication module is used for patients to communicate with medical staff. A video processing unit is set, and the video processing unit is used to perform real-time privacy processing when patients communicate with medical staff via video; determine the target medical staff according to the patient's needs, obtain the user's video permission, establish a video connection with the medical staff side of the target medical staff, and communicate with the target medical staff via video call.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] Through the combination of the mini program and the cloud platform, the real-time monitoring and remote management of patients' enterostomy data are realized, enabling the accurate assessment of patients' conditions based on intelligent technology, helping patients understand their own conditions in real time. At the same time, through the intelligent statistics of patients' data, it is convenient for medical staff to quickly understand the patients' situations, improve the communication efficiency, and perform privacy processing during the communication process to avoid affecting patients' communication and reduce the psychological burden of patients. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required to be used in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0048] Figure 1 It is a block diagram of the principle of the present invention. Specific Embodiments

[0049] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative work shall fall within the protection scope of the present invention.

[0050] As Figure 1 shown, the comprehensive continuous care service system for intestinal stoma patients based on mini-programs and cloud platforms includes a user terminal, a platform terminal, and a medical staff terminal;

[0051] The platform terminal is established based on cloud platform technology for the use of the platform party and is connected to the user terminals of each user; it includes a medical staff module, a database, a data analysis module, and a psychological assessment module;

[0052] The medical staff module is used to summarize the information of various medical staff with professional nursing capabilities for intestinal stomas of the platform party. The medical staff information includes relevant information such as gender, age, and professional capabilities. The obtained medical staff information is integrated to form a medical staff information table; the working status of the medical staff in the medical staff information table is obtained in real time. The working status is set by the corresponding medical staff or the system, such as offline status, idle status, and status of being in contact with patients, etc.; the obtained working status is supplemented and updated in the medical staff information table.

[0053] In one embodiment, in order to facilitate the subsequent matching of suitable medical staff for patients, the platform party can evaluate each medical staff to determine their medical care value. The higher the medical care value, the better the medical care service. The obtained medical care value is supplemented to the medical staff information table; the medical care value can be determined based on the existing method, or it can be determined based on the following method:

[0054] Obtain the medical record data of the medical staff, that is, the medical records of the medical staff's historical service patients, including relevant data such as condition data and patient recovery situation; evaluate the professional ability value of the corresponding medical staff in real time according to the medical record data and medical staff information. Generally, it is matched according to the reference standards of each professional ability preset, and then the professional ability value is determined in combination with the corresponding difference situation. However, with the development of intelligent technology, a professional ability evaluation model can also be established based on CNN network or DNN network, etc., and a corresponding training set is established through artificial means for training. The training set includes input data and output data. The input data is medical record data and medical staff information, and the output data is the professional ability value. Through the analysis of the trained professional ability evaluation model, the corresponding professional ability value is obtained.

[0055] Obtain the service scores of medical staff. The service scores are evaluated based on the patients served by the medical staff each time, and then summarized to determine the service scores, which can be determined according to the existing scoring system;

[0056] Input the service score and professional ability value into a preset medical staff value calculation formula to calculate the medical staff value of the corresponding medical staff; The medical staff value calculation formula is:

[0057] YH = b 1 ×ZN + b 2 ×PF;

[0058] In the formula: YH is the medical staff value; ZN is the professional ability value; PF is the service score; b 1 、b 2 are both proportionality coefficients, and the value range is 0 < b 1 ≤1, 0 < b 2 ≤1, initially set by the platform side, and adjusted according to user needs later.

[0059] The database is used for data storage and management, generally storing the data sent by each user terminal.

[0060] Receive the enterostomy data sent by each user terminal in real time, identify the patient information corresponding to the enterostomy data, and classify and store the enterostomy data according to the patient information.

[0061] Identify the data of the corresponding patients stored in real time, including enterostomy data, enterostomy analysis results and other related data, and mark them as patient stored data; Perform real-time summary analysis on the patient stored data to obtain the convenient display data of the patients; The convenient display data is used for medical staff to quickly understand the actual condition of the patients subsequently, thereby improving the communication efficiency and medical care effect.

[0062] In one embodiment, summarizing and analyzing the patient stored data can be performed based on the existing method, such as establishing a corresponding analysis model based on the existing artificial intelligence technology for analysis.

[0063] In one embodiment, the method for real-time summary analysis of patient stored data includes:

[0064] Statistically analyze which patients' enterostomy information must be understood when medical staff initially communicate with patients, and then set display items and convenient display requirements. The convenient display requirements are the minimum requirements that the convenient display data needs to meet; According to the display items and convenient display requirements, the platform side sets a data summary scheme for summarizing and processing the collected data of each display item to form convenient display data;

[0065] Real-time collect and summarize the patient stored data according to the display items and data summary scheme to obtain the convenient display data;

[0066] Subsequently, according to the development of processing technologies, the data aggregation scheme is optimized and adjusted in real time according to the requirements of convenient display.

[0067] In one embodiment, the data aggregation scheme can be optimized and adjusted in real time based on existing methods.

[0068] In one embodiment, the method for optimizing and adjusting the data aggregation scheme according to the requirements of convenient display includes:

[0069] New candidate aggregation schemes that meet the requirements of convenient display are generated in real time according to the development of existing data summarization technologies and the requirements of convenient display. That is, as long as the historical data aggregation scheme is optimized and improved and meets the requirements of convenient display, it can be regarded as a candidate aggregation scheme. Based on existing methods, various data aggregation schemes determined according to the data aggregation scheme are marked as initial aggregation schemes. The initial aggregation schemes are evaluated according to the requirements of convenient display to determine whether they meet the requirements of convenient display. The initial aggregation schemes that meet the requirements of convenient display are marked as candidate aggregation schemes; it can be judged according to existing methods, or a scheme verification model can be established. The expression of the scheme verification model is:

[0070]

[0071] In the formula: (CF, BY) is the input data, CF is the initial aggregation scheme; BY is the requirement of convenient display; CF→BY means that the initial aggregation scheme meets the requirement of convenient display; the output data is the scheme verification value FH(CF, BY), and the scheme verification value is 1 or 0. Specifically, a corresponding training set is established by humans for training to achieve verification and judgment;

[0072] The verification and judgment are carried out through the scheme verification model.

[0073] The efficiency of the candidate aggregation scheme and the data aggregation scheme is compared, that is, the efficiency of medical staff in understanding the patient's condition between the two is estimated. The estimation can be carried out using the corresponding data processing method and can be compared based on existing methods to obtain the efficiency comparison result;

[0074] The candidate aggregation schemes with higher efficiency than the data aggregation scheme are marked as evaluation schemes. The medical staff conduct on-site application evaluations on the evaluation schemes, collect and compare the convenient display data obtained by each medical staff for the evaluation schemes, determine the scheme evaluation results, and determine whether to replace the corresponding data aggregation scheme according to the scheme evaluation results.

[0075] The data analysis module is used to analyze the enterostomy data of each patient, obtain the corresponding enterostomy analysis results of the patients, store the obtained enterostomy analysis results in the database, and feedback the corresponding enterostomy analysis results to the corresponding user terminals.

[0076] In one embodiment, the enterostomy data of a patient is analyzed, such as enterostomy viability assessment: the color of a normal enterostomy should be dark red or pink like the lips, with a smooth and moist surface. If the color is dark red or purple, it may be a manifestation of early postoperative ischemia; if it is partially or completely black, it indicates ischemic necrosis. Edema often occurs in the enterostomy after surgery, which is a normal phenomenon and generally does not require special treatment. The edema will gradually subside after a few days. Enterostomy function recovery assessment: In the initial stage after surgery, the enterostomy may have only a small amount of bloody discharge without gas or feces. Over time, gas and feces will gradually be discharged. The time of onset of excretion and the nature of the excreta will also vary for different types of enterostomies (such as ileostomy, transverse colostomy, etc.). The color, odor, and amount of the fluid discharged through the enterostomy are used to judge whether there are problems such as intra-abdominal infection, intestinal obstruction, and metabolic abnormalities. Specific analysis is carried out based on the enterostomy data.

[0077] The enterostomy data can be analyzed by establishing an intelligent model. Exemplarily:

[0078] Collect enterostomy data from the patient, including enterostomy location, type, shape, size, color, edema condition, height, excreta condition, drainage condition, and possible results of imaging examinations and biochemical examinations, etc. Clean, organize, and standardize the collected data. For example, remove duplicate data, fill in missing values, convert data types, etc. In addition, feature extraction also needs to be performed on the data to better reflect the condition of the enterostomy. Based on the data preprocessing, feature selection and dimensionality reduction are carried out. The purpose of this step is to reduce the complexity of the model and improve the generalization ability of the model. Features highly correlated with the enterostomy health condition can be selected, and redundant or noisy features are removed at the same time. Dimensionality reduction techniques such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. can also be used to reduce the number of features.

[0079] Select a suitable machine learning or deep learning model according to the specific nature of the problem and the characteristics of the data. For example, if the goal is a classification problem (such as judging whether the enterostomy is healthy), classification models such as support vector machine (SVM), random forest, neural network, etc. can be selected; if the goal is a regression problem (such as predicting the risk of enterostomy complications), regression models such as linear regression, ridge regression, gradient boosting tree, etc. can be selected. Use the preprocessed data to train the selected model. During the training process, the parameters of the model need to be adjusted to optimize its performance. This usually involves techniques such as cross-validation and grid search to find the best combination of parameters.

[0080] Use an independent test dataset to evaluate the performance of the model. Common evaluation metrics include accuracy, recall, F1-score, mean squared error (MSE), etc. According to the evaluation results, we can understand the performance of the model in different aspects and identify potential weaknesses. Optimize the model based on the evaluation results. This may include adjusting the model structure, adding data augmentation techniques, introducing regularization terms, etc. In addition, ensemble learning methods can also be considered to improve the stability and accuracy of the model.

[0081] The psychological assessment module is used to conduct psychological assessments on patients and obtain the psychological assessment results of patients. Specifically, it can be based on existing assessment methods for assessment to understand the psychological conditions of patients, and store the psychological assessment results in the database.

[0082] Both the user side and the medical staff side can be established based on mini-programs. Patients or medical staff can access the user side or the medical staff side through the mini-program, or the user side and the medical staff side can also be set up in other ways.

[0083] The medical staff side is for medical staff to use, and common functions such as registration and login are not described in detail; it includes a medical service module;

[0084] The medical service module is used for medical staff to communicate with corresponding patients, generally through video, text, pictures and other means.

[0085] The user side includes an information recording module and an information communication module;

[0086] The information recording module is used to record the enterostomy data of patients in real time, enter information according to preset recording requirements, such as the daily data entry template, and enter enterostomy information according to the daily data entry template, which can include relevant information such as enterostomy pictures, feelings, physiological parameters, doctor's diagnosis data, etc.; send the obtained enterostomy data to the platform side, and store it in the database in the platform side; and receive the enterostomy analysis results feedback by the platform side, and display the enterostomy analysis results to the user.

[0087] The information communication module is used for patients to communicate with medical staff. A video processing unit is set up, and the video processing unit is used to perform real-time privacy processing when patients communicate with medical staff through video, so that the connected video can only display the video pictures related to the enterostomy; determine the target medical staff according to the patient's needs, obtain the user's video permission, establish a video connection with the medical staff side of the target medical staff, and communicate with the target medical staff through the video connection.

[0088] In one embodiment, for real-time privacy processing, it can be based on existing video technologies for processing, such as identifying the enterostomy area and blurring other videos that can reflect the patient's personal information.

[0089] In one embodiment, the method for determining a target healthcare provider according to patient needs includes:

[0090] Identify the healthcare information form, determine each healthcare provider who meets the patient's needs according to the working status of the healthcare providers, mark them as candidate healthcare providers, determine the healthcare values of the candidate healthcare providers, and the proportionality coefficient can be adjusted according to the patient's needs, and then update the corresponding healthcare values; sort the candidate healthcare providers in descending order of healthcare values to obtain a recommended list, and the patient determines the target healthcare provider according to the recommended list.

[0091] In one embodiment, to determine the target healthcare provider according to the patient's needs, it can also be determined based on the existing method.

[0092] The above formulas are all calculated by removing the dimension and taking their numerical values. The formula is a formula obtained by collecting a large amount of data and performing software simulation to be the one closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0093] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A comprehensive service system for continuous care of patients with intestinal stoma based on mini-programs and cloud platforms, characterized by: Including user side, platform side and medical side; The platform includes a medical care module, a database and a data analysis module; The medical care module is used to set and update a medical care information table, and the medical care information table is used to count the medical care information and work status of the corresponding medical care personnel; The database is used for data storage and management; The data analysis module is used to analyze the patient's intestinal stoma data, obtain the patient's intestinal stoma analysis results, store the intestinal stoma analysis results in a database, and feed back the intestinal stoma analysis results to the corresponding user terminal; The medical care end includes a medical care service module; The medical care service module is used for medical staff to communicate with corresponding patients; The user terminal includes an information recording module and an information communication module; The information recording module is used to record the patient's colostomy data in real time, send the colostomy data to the platform end, receive the colostomy analysis results fed back by the platform end in real time, and display the colostomy analysis results to the user; The information communication module is used for information communication between patients and medical staff, and a video processing unit is provided, and the video processing unit is used for real-time privacy processing when patients and medical staff communicate via video; Determine the target medical staff according to the patient's needs, obtain the user's video permissions, establish a video connection with the target medical staff's medical terminal, and communicate with the target medical staff through video calls.

2. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 1 is characterized in that: The medical care information table contains statistics on the medical care values ​​of the medical staff.

3. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 2 is characterized in that: The calculation method of medical care value includes: Obtain the medical record data of the medical staff, and evaluate the professional ability value of the medical staff in real time based on the medical record data and medical staff information; obtain the service score of the medical staff; The service score and professional ability value are input into the preset medical care value calculation formula to calculate the medical care value of the medical staff; the medical care value calculation formula is: YH=b1×ZN+b2×PF; Where: YH is the medical care value; ZN is the professional ability value; PF is the service score; b1 and b2 are both proportional coefficients, with a value range of 0 <b1≤1,0<b2≤1。 4. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 1 is characterized in that: The data stored in the database includes colostomy data, and the colostomy data sent by the user terminal is classified and stored according to patient information.

5. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 1 is characterized in that: Methods for data management include: The patient stored data of each patient is identified in real time, and the patient stored data is summarized and analyzed in real time to obtain convenient display data of the patient.

6. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 5 is characterized in that: Methods for real-time summary and analysis of patient stored data include: The platform sets display items and convenient display requirements corresponding to the convenient display data, sets a data aggregation plan according to the convenient display requirements; and optimizes and adjusts the data aggregation plan in real time according to the convenient display requirements; The patient's stored data is collected and summarized in real time according to the display items and data aggregation scheme to obtain convenient display data of the patient.

7. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 6 is characterized in that: Methods for real-time optimization and adjustment of data aggregation schemes according to convenient display requirements include: Determine in real time a new summary scheme to be selected based on the convenient display requirements and the data summary scheme; compare the efficiency of the summary scheme to be selected with the data summary scheme to obtain an efficiency comparison result; An evaluation scheme is determined according to the efficiency comparison result, an application evaluation is performed on the evaluation scheme to obtain a scheme evaluation result, and according to the scheme evaluation result, it is determined whether to adjust the data aggregation scheme according to the evaluation scheme.

8. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 7 is characterized in that: Methods for obtaining the summary scheme to be selected include: Determine the corresponding initial aggregation scheme in real time according to the data aggregation scheme, and update the corresponding initial record table according to the initial aggregation scheme, wherein the initial record table is used to count the corresponding data aggregation scheme information and the initial scheme information; When the initial record table is updated according to the initial aggregation scheme, it is determined whether the initial aggregation scheme meets the convenient display requirement, and the initial aggregation scheme that meets the convenient display requirement is marked as a candidate aggregation scheme; and the initial aggregation scheme that does not meet the convenient display requirement is deleted; When the initial record table is not updated according to the initial aggregation scheme, the initial aggregation scheme is deleted.

9. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 8 is characterized in that: Methods for determining whether the initial summary plan meets the requirements for convenient display include: A scheme verification model is established. The expression of the scheme verification model is: Where: (CF, BY) is the input data, CF is the initial summary plan; BY is the convenient display requirement; CF→BY means that the initial summary plan meets the convenient display requirement; the output data is the plan verification value FH(CF, BY), and the plan verification value is 1 or 0; Analyze the initial summary plan through the plan verification model to obtain a plan verification value of the initial summary plan; When the scheme verification value is 1, it is judged that the initial summary scheme meets the convenient display requirement; When the scheme verification value is 0, it is determined that the initial summary scheme does not meet the convenient display requirement.

10. The integrated service system for continuous care of intestinal stoma patients based on mini-programs and cloud platforms according to claim 1 is characterized in that: The platform also includes a psychological assessment module, which is used to perform psychological assessment on patients, obtain psychological assessment results of patients, and store the psychological assessment results in a database.

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