Intelligent lavage and drainage system for gastrointestinal surgery

Through intelligent lavage and drainage system, machine learning algorithms are used to analyze patient characteristics and gastrointestinal environmental information, and automatically adjust lavage and drainage parameters, solving the problem that existing systems are difficult to consider individual differences in patients, improving treatment effect and system safety sex.

CN119424800AInactive Publication Date: 2025-02-14JIANGYIN PEOPLES HOSPITAL
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Patent Information

Application Number
CN202411443584.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-16
Publication Date
2025-02-14
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing gastrointestinal surgical lavage and drainage system is difficult to fully consider the individual differences of each patient, resulting in poor treatment results and limited adaptability.

Method used

Design an intelligent lavage and drainage system, collect patient characteristic information and gastrointestinal environment information through the information collection module, use the data analysis and processing module to establish a pressure model based on machine learning algorithm, and the intelligent control module automatically adjusts lavage and Traffic parameters.

Benefits of technology

It realizes automatic adjustment of lavage and drainage parameters according to individual differences in patients, provides a more personalized treatment plan, and improves treatment effect and systematic safety.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent lavage and drainage system for gastrointestinal surgery in the technical field of gastrointestinal surgery, and the system comprises an information collection module which is used for collecting gastrointestinal pressure information of a patient and recording and storing the pressure information; the data analysis and processing module is used for establishing a pressure model and a pressure threshold value by utilizing a machine learning algorithm based on the collected pressure information; the intelligent control module is used for controlling the flow speed and flow of the lavage fluid and the drainage fluid in different time periods according to the pressure information; and the early warning module is used for monitoring abnormal conditions of the gastrointestinal tract, automatically starting a drainage function and sending out an alarm signal when monitoring that the pressure information exceeds a preset pressure threshold value. By analyzing the relevance between various characteristic information and gastrointestinal tract environment information of the patient, the lavage and drainage parameters are automatically adjusted according to individual differences of the patient, and a more personalized treatment scheme can be provided, so that the treatment effect is improved.
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Description

Technical Field

[0001] The present invention belongs to the technical field of gastrointestinal surgery, and in particular is an intelligent lavage and drainage system for gastrointestinal surgery. Background Art

[0002] As an important treatment method, irrigation technology has been widely used in gastrointestinal surgery. Through irrigation, pollutants, toxic substances, foreign bodies, inflammation, etc. in the intestine can be removed, providing a clear field of vision for surgery or examination and reducing the occurrence of complications. Drainage technology also occupies an important position in gastrointestinal surgery. Gastrointestinal surgical drainage refers to the technology of guiding and draining the accumulated fluid, pus, lymph, digestive fluid and other substances in the patient's body through surgery or intervention in the field of gastrointestinal surgery. Its main purpose is to reduce complications, promote wound healing, and facilitate postoperative observation and treatment. Existing gastrointestinal surgical irrigation and drainage systems often use more general parameter settings, which is difficult to fully consider the individual differences of each patient. There is a lack of effective correlation analysis between the monitoring data, and it is difficult to provide comprehensive clinical information. In the face of complex and changing clinical conditions, the adaptability of the irrigation and drainage system is subject to certain limitations. Although there are some automated functions, many operations still rely on the experience and judgment of medical staff and manual operation.

[0003] In summary, how to solve the problem that the existing technology uses relatively general parameter settings and is difficult to fully consider the individual differences of each patient has become a difficult problem that needs to be solved urgently in this field. Therefore, it is necessary to propose a gastrointestinal surgery intelligent irrigation and drainage system. Summary of the invention

[0004] In order to solve the above problems, the purpose of the present invention is to propose a gastrointestinal surgical intelligent irrigation and drainage system, which analyzes the correlation between various characteristic information of the patient and the gastrointestinal environmental information, automatically adjusts the irrigation and drainage parameters according to the individual differences of the patient, and can provide a more personalized treatment plan, thereby improving the treatment effect.

[0005] In order to achieve the above-mentioned object, the technical solution of the present invention is as follows: a gastrointestinal surgery intelligent irrigation and drainage system, including an information acquisition module, a data analysis and processing module, an intelligent control module, an early warning module and an interactive module;

[0006] An information collection module is used to collect the patient's gastrointestinal pressure information and record and store the pressure information;

[0007] The data analysis and processing module uses machine learning algorithms to establish stress models and stress thresholds based on the collected stress information;

[0008] An intelligent control module, used to control the flow rate and flow rate of the irrigation fluid and drainage fluid in different time periods according to the pressure information;

[0009] The early warning module is used to monitor gastrointestinal abnormalities. When the pressure information exceeds the preset pressure threshold, an alarm signal is issued and the drainage function is automatically started through the intelligent control module;

[0010] The interactive module is used to display the patient's current gastrointestinal pressure information, the flow rate and flow information of the irrigation fluid and drainage fluid, and provide operation functions for medical staff.

[0011] Furthermore, the information collection module includes a feature entry unit, which is used to enter the characteristic information of the patient's age, gender, height and weight; the data analysis and processing module analyzes the characteristic correlation between the characteristic information and the gastrointestinal pressure information; the intelligent control module automatically adjusts the flow rate and flow of the irrigation fluid and the drainage fluid according to the characteristic correlation data.

[0012] Furthermore, in the intelligent control module, the irrigation fluid is selected from one or more of warm water, ice water, soapy water, normal saline, antibiotic solution, Chinese medicine enema solution and mesalazine solution.

[0013] Furthermore, the information collection module also includes an environmental information collection unit, which is used to collect environmental information of the patient's gastrointestinal temperature and pH. The data analysis and processing module analyzes the correlation between the environmental information and the type of irrigation fluid; the intelligent control module automatically selects the type of irrigation fluid based on the type correlation data.

[0014] Furthermore, the information collection module monitors the gastrointestinal environment information by placing a pressure measuring catheter in the patient's nasal cavity, oral cavity, anal canal or rectum, and using the pressure sensor, temperature sensor and pH sensor at the end of the pressure measuring catheter.

[0015] Furthermore, the information collection module also includes a tolerance monitoring unit, which is used to monitor the changes in the patient's facial expressions and limb movements during surgery; the data analysis and processing module analyzes the tolerance correlation between the change information and the characteristic information; and the intelligent control module automatically adjusts the irrigation pressure according to the tolerance correlation data.

[0016] Furthermore, the information collection module also includes a progress recording unit, which is used to monitor the progress information of operation progress time, resource usage and doctor's fatigue level; the data analysis and processing module analyzes the operation correlation according to the progress information; the intelligent control module automatically adjusts the lighting brightness, operating room temperature and operating table position according to the operation correlation data.

[0017] Furthermore, the information collection module also includes a daily behavior entry unit, which is used to enter the patient's daily behavior information such as smoking history, drinking history and disease history; the data analysis and processing module analyzes the correlation between the daily behavior information and the medical history of the current disease, and the interaction module provides follow-up treatment suggestions based on the medical history correlation.

[0018] Furthermore, the machine learning algorithm adopts a neural network algorithm, which analyzes the correlation and change trends of its key parameters based on the data shared by the information acquisition module. The intelligent control module automatically adjusts the irrigation pressure and automatically switches the operation modes of irrigation and drainage based on the correlation and change trends.

[0019] Furthermore, the information collection module is also used to record and store surgical process data, which includes the amount of irrigation fluid used and the amount of drainage fluid discharged.

[0020] After adopting the above scheme, the basic scheme has the following beneficial effects: 1. During the lavage and drainage process, the present invention monitors the pressure information of the gastrointestinal tract to accurately control the lavage and drainage process in time periods, ensuring that the lavage fluid fully contacts the gastrointestinal wall, while avoiding excessive lavage that causes patient discomfort. Monitor the gastrointestinal pressure in the early stage of the operation and automatically adjust the flow of the lavage fluid. In the later stage of the operation, it automatically switches to the drainage mode to maintain the effective discharge of the drainage fluid. A normal pressure model is established through a machine learning algorithm. Once the monitoring data exceeds the model range, the system automatically issues an alarm. The system integrates lavage, drainage, monitoring and alarm functions. When abnormal gastrointestinal pressure is detected, the system automatically starts the drainage function and issues an alarm signal, thereby improving the safety of the system.

[0021] 2. The present invention integrates a pressure sensor, a temperature sensor and a pH sensor at the end of the pressure measuring catheter. The system can monitor the pressure, temperature, pH and other environmental information in the gastrointestinal tract in real time and provide comprehensive monitoring data. By analyzing the correlation between environmental information and the type of lavage fluid, the most suitable type of lavage fluid for the patient is selected to further improve the targeted treatment. Different types of lavage fluids have different irritations to the patient's gastrointestinal tract. Selecting the appropriate type of lavage fluid can effectively reduce damage and irritation to the gastrointestinal mucosa and reduce the incidence of complications.

[0022] 3. The present invention analyzes the correlation between the patient's age, gender, height, weight and other characteristic information and the gastrointestinal pressure, and automatically adjusts the parameters of irrigation and drainage according to the individual differences of the patient. The system can provide a more personalized treatment plan, thereby improving the treatment effect.

[0023] 4. The present invention monitors the changes in the patient's facial expressions and body movements in real time, which indirectly reflects the degree of pain or discomfort of the patient, ensuring that potential problems are discovered in a timely manner. The collected change information is analyzed using a neural network algorithm, and the correlation is compared with the existing characteristic information to evaluate the patient's tolerance, thereby automatically adjusting the irrigation pressure and reducing the patient's discomfort.

[0024] 5. The present invention monitors the progress information of treatment progress time, resource usage and doctor fatigue in real time. According to the operation correlation data output by the data analysis and processing module, the intelligent control module automatically adjusts the environmental factors such as indoor lighting brightness, temperature and operation table position. For example, when the operation enters a critical stage or the doctor shows signs of fatigue, the intelligent control module can choose to increase the lighting brightness to improve the clarity of vision, or adjust the temperature of the operating room to relieve the doctor's fatigue. At the same time, according to the progress and needs of the treatment, the position of the operation table can also be fine-tuned to ensure the smooth progress of the treatment.

[0025] 6. By integrating the patient's daily behavior information data, the present invention can help doctors understand the patient's health status and living habits more comprehensively, providing a basis for formulating personalized treatment plans. For patients with bad living habits, early detection and intervention of these behaviors can effectively reduce the patient's risk of illness or delay the progression of the disease. By analyzing the correlation between daily behavior information and the disease, doctors can formulate more accurate treatment plans, thereby improving the treatment effect.

[0026] 7. The present invention uses a neural network algorithm to perform nonlinear processing on the input data. The neural network algorithm can automatically identify key parameters in the data and analyze the correlation and change trend between them. Based on the prediction results of the neural network, the system can automatically adjust the irrigation pressure to ensure that it is within a safe and effective range. Such a design helps to reduce the risk of patients during treatment. Through intuitive interaction, patients can better understand their health status and treatment plans, and improve treatment compliance and participation. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a structural block diagram of the intelligent irrigation and drainage system for gastrointestinal surgery according to an embodiment of the present invention.

[0028] Figure 2 This is a structural block diagram of the information acquisition module of the intelligent irrigation and drainage system for gastrointestinal surgery according to an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The following is further described in detail through specific implementation methods:

[0030] The embodiment is basically as shown in the attached Figure 1 , Figure 2 As shown:

[0031] A gastrointestinal surgery intelligent irrigation and drainage system comprises an information collection module, a data analysis and processing module, an intelligent control module, an early warning module and an interactive module.

[0032] The information collection module is used to collect the patient's gastrointestinal pressure information and record and store the pressure information.

[0033] The data analysis and processing module uses a machine learning algorithm to establish a pressure model and pressure threshold based on the collected pressure information; the machine learning algorithm uses a neural network algorithm, which analyzes the correlation and change trend of its key parameters based on the data shared by the information collection module.

[0034] The intelligent control module is used to control the flow rate and flow rate of the irrigation fluid and drainage fluid in different time periods according to the pressure information; and automatically adjust the irrigation pressure according to the correlation and change trend, and automatically switch the operation mode of irrigation and drainage. In this embodiment, the irrigation fluid is physiological saline.

[0035] The information collection module is also used to record and store surgical process data, which includes the amount of irrigation fluid used and the amount of drainage fluid discharged.

[0036] The early warning module is used to monitor gastrointestinal abnormalities. When the monitored pressure information exceeds the preset pressure threshold, an alarm signal is issued and the drainage function is automatically started through the intelligent control module.

[0037] The interactive module is used to display the patient's current gastrointestinal pressure information, the flow rate and flow information of the irrigation fluid and drainage fluid, and provide operation functions for medical staff.

[0038] The information collection module includes a feature entry unit, which is used to enter the patient's age, gender, height and weight feature information; the data analysis and processing module analyzes the feature correlation between the feature information and the gastrointestinal pressure information; the intelligent control module automatically adjusts the flow rate and flow of the irrigation fluid and drainage fluid according to the feature correlation data.

[0039] By analyzing the correlation of patient characteristic information and automatically adjusting the parameters of irrigation and drainage according to individual differences of patients, the system can provide more personalized treatment plans. For example, the patient is a 26-year-old male with a height of 165cm and a weight of 55kg. He is continuously irrigated with saline at a rate of 100mL / h, with a daily irrigation volume of 2400mL and irrigation every 2 hours.

[0040] The information collection module also includes an environmental information collection unit, which is used to collect environmental information on the patient's gastrointestinal temperature and pH. The data analysis and processing module analyzes the correlation between the environmental information and the type of irrigation fluid; the intelligent control module automatically selects the type of irrigation fluid based on the type correlation data.

[0041] Among them, the information collection module monitors the gastrointestinal environment information by placing a pressure measuring catheter in the patient's nasal cavity, oral cavity, anal canal or rectum, and the pressure sensor, temperature sensor and pH sensor at the end of the pressure measuring catheter.

[0042] By real-time monitoring of environmental information such as pressure, temperature, and pH in the gastrointestinal tract, comprehensive monitoring data is provided. By analyzing the correlation between environmental information and the type of lavage fluid, the most suitable lavage fluid type for the patient is selected to further improve the targeted treatment. For example, if a patient has ulcerative colitis, mesalazine solution can be used for lavage.

[0043] The information collection module also includes a tolerance monitoring unit, which is used to monitor changes in the patient's facial expressions and limb movements during surgery; the data analysis and processing module analyzes the tolerance correlation between the change information and the characteristic information; the intelligent control module automatically adjusts the irrigation pressure based on the tolerance correlation data.

[0044] The collected change information is analyzed by the neural network algorithm, and the correlation is compared with the existing characteristic information to evaluate the patient's tolerance, so as to automatically adjust the irrigation pressure. For example, during irrigation, if the patient's facial expression is ferocious and his limbs are slightly resisting, it means that the patient is quite uncomfortable at this time, so the irrigation speed is adjusted to 50mL / h.

[0045] The information collection module also includes a progress recording unit, which is used to monitor the progress information of operation progress time, resource usage and doctor's fatigue level; the data analysis and processing module analyzes the operation correlation according to the progress information; the intelligent control module automatically adjusts the lighting brightness, operation room temperature and operation table position according to the operation correlation data.

[0046] The progress information of the operation is monitored through the progress recording unit. According to the operation correlation data output by the data analysis and processing module, the intelligent control module will automatically adjust the environmental factors such as the lighting brightness, temperature and operating table position in the room. For example, when the doctor sweats a lot during the operation and wipes the sweat frequently, the temperature of the operating room will be lowered accordingly. When the doctor frequently stretches his waist or bends his neck, the position of the operating table will be raised or adjusted accordingly.

[0047] The information collection module also includes a daily behavior entry unit, which is used to enter the patient's daily behavior information such as smoking history, drinking history and disease history; the data analysis and processing module analyzes the correlation between the daily behavior information and the medical history of the current disease, and the interactive module provides follow-up treatment recommendations based on the medical history correlation.

[0048] By integrating the patient's daily behavior information data, doctors can have a more comprehensive understanding of the patient's health status and living habits, providing a basis for formulating personalized treatment plans. For patients with bad living habits, early detection and intervention of these behaviors can effectively reduce the patient's risk of disease or delay the progression of the disease. For example, the patient may suffer from diseases such as gastric ulcers and gastric perforation, and has a long-term drinking habit, so the patient is advised to quit drinking.

[0049] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. An intelligent lavage and drainage system for gastrointestinal surgery, characterized in that: It includes information collection module, data analysis and processing module, intelligent control module, early warning module and interactive module; An information collection module is used to collect the patient's gastrointestinal pressure information and record and store the pressure information; The data analysis and processing module uses machine learning algorithms to establish stress models and stress thresholds based on the collected stress information; An intelligent control module, used to control the flow rate and flow rate of the irrigation fluid and drainage fluid in different time periods according to the pressure information; The early warning module is used to monitor gastrointestinal abnormalities. When the pressure information exceeds the preset pressure threshold, an alarm signal is issued and the drainage function is automatically started through the intelligent control module; The interactive module is used to display the patient's current gastrointestinal pressure information, the flow rate and flow information of the irrigation fluid and drainage fluid, and provide operation functions for medical staff.

2. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 1, characterized in that: The information collection module includes a feature entry unit, which is used to enter the patient's age, gender, height and weight feature information; the data analysis and processing module analyzes the feature correlation between the feature information and the gastrointestinal pressure information; the intelligent control module automatically adjusts the flow rate and flow of the irrigation fluid and drainage fluid according to the feature correlation data.

3. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 2, characterized in that: In the intelligent control module, the irrigation fluid is selected from one or more of warm water, ice water, soapy water, normal saline, antibiotic solution, Chinese medicine enema solution and mesalazine solution.

4. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 3, characterized in that: The information collection module also includes an environmental information collection unit, which is used to collect environmental information on the patient's gastrointestinal temperature and pH. The data analysis and processing module analyzes the correlation between the environmental information and the type of irrigation fluid; the intelligent control module automatically selects the type of irrigation fluid based on the type correlation data.

5. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 4, characterized in that: The information collection module monitors the gastrointestinal environment information by placing a pressure measuring catheter in the patient's nasal cavity, oral cavity, anal canal or rectum, and using the pressure sensor, temperature sensor and pH sensor at the end of the pressure measuring catheter.

6. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 5, characterized in that: The information collection module also includes a tolerance monitoring unit, which is used to monitor changes in the patient's facial expressions and limb movements during surgery; the data analysis and processing module analyzes the tolerance correlation between the change information and the characteristic information; the intelligent control module automatically adjusts the irrigation pressure based on the tolerance correlation data.

7. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 6, characterized in that: The information collection module also includes a progress recording unit, which is used to monitor the progress information of operation progress time, resource usage and doctor's fatigue level; the data analysis and processing module analyzes the operation correlation according to the progress information; the intelligent control module automatically adjusts the lighting brightness, operation room temperature and operation table position according to the operation correlation data.

8. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 7, characterized in that: The information collection module also includes a daily behavior entry unit, which is used to enter the patient's daily behavior information such as smoking history, drinking history and disease history; the data analysis and processing module analyzes the correlation between the daily behavior information and the medical history of the current disease, and the interactive module provides follow-up treatment recommendations based on the medical history correlation.

9. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 8, characterized in that: The machine learning algorithm adopts a neural network algorithm, which analyzes the correlation and change trends of key parameters based on the data shared by the information acquisition module. The intelligent control module automatically adjusts the irrigation pressure based on the correlation and change trends, and automatically switches the operation modes of irrigation and drainage.

10. The intelligent lavage and drainage system for gastrointestinal surgery according to claim 9, characterized in that: The information collection module is also used to record and store surgical process data, which includes the amount of irrigation fluid used and the amount of drainage fluid discharged.

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