Diarrhea management method for enteral nutrition support patient and related equipment

Abstract

The invention discloses a diarrhea management method for an enteral nutrition support patient and related equipment. The method comprises the following steps: screening risk factors of diarrhea of an enteral nutrition support patient during the enteral nutrition support period, and collecting and uploading a risk factor screening result, and variable information and property information of patient defecation based on a PDA intelligent medical care terminal; in each statistical period, performing diarrhea evaluation on the patient through a KSC evaluation table on the basis of the variable information and property information of defecation of the patient obtained in the period; and under the condition of evaluating that the patient has diarrhea, extracting risk factors of diarrhea during enteral nutrition support from the medical record information of the patient to generate a risk factor prompt message and a corresponding risk factor control strategy. After risk factors are screened out or diarrhea occurs, targeted prevention and treatment are difficult to carry out according to possible risk factors. The problems of high diarrhea occurrence rate, poor control effect, poor nutrition support effect and medical waste are caused.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of smart medical care, and more specifically, the present invention relates to a method for managing diarrhea in patients receiving enteral nutrition support and related equipment. Background Art

[0002] Traditionally, the king of stool chart (KSC) is used to assess diarrhea in patients receiving enteral nutrition support. During the use of this chart, each stool assessment needs to be scored based on the characteristics and quantity, and the total score is used to determine whether diarrhea has occurred over a 24-hour period. Nursing staff need to record and hand over the results of each assessment in an unstructured manner on the computer, which results in difficult bedside records, missing reports, and complex statistics.

[0003] On the other hand, there is no systematic diarrhea risk screening tool, and the prevention and treatment of diarrhea depends on clinical experience. After diarrhea occurs, it is difficult to carry out targeted prevention and treatment based on possible risk factors. This results in a high incidence of diarrhea, poor control effects, and medical waste.

[0004] At present, the main methods of health education in clinical work are traditional face-to-face explanations and written education. The health education of obstetric patients involves prenatal, intrapartum and postpartum. There are also differences in the health education content between cesarean section and normal delivery. The large amount of information makes it difficult to digest and remember the information. Nurses have tight working hours and may not have enough time to conduct detailed health education. Different nurses may provide inconsistent information, which increases the confusion of patients. Traditional face-to-face explanations and written materials may lack interactivity, making it difficult to evaluate the actual understanding of patients and difficult to meet individual needs.

[0005] From the above analysis, we can see that there are many deficiencies in the health education process in current obstetric clinical work. The knowledge of parturients and their families is poor, and repeated education increases the workload of nursing staff. Summary of the invention

[0006] A series of simplified concepts are introduced in the Summary of the Invention, which will be further described in detail in the Detailed Description of the Invention. The Summary of the Invention does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the scope of protection of the claimed technical solution.

[0007] In order to solve the problem of no systematic diarrhea risk screening tool, the prevention and treatment of diarrhea depends on clinical experience. After diarrhea occurs, it is difficult to carry out targeted prevention and treatment based on possible risk factors. This leads to high incidence of diarrhea, poor control effect, and medical waste. In the first aspect, the present invention proposes a method for managing diarrhea in patients with enteral nutrition support, the method comprising:

[0008] Screening of risk factors for diarrhea during enteral nutrition support for patients, collecting and uploading risk factor screening results, patient defecation variable information and property information based on the PDA intelligent medical terminal;

[0009] In each statistical period, the KSC evaluation form is used to evaluate the diarrhea of ​​patients based on the variable information and property information of the patients' bowel movements obtained during the period;

[0010] In case the patient is assessed to have diarrhea, risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message.

[0011] Optionally, the risk factor screening for diarrhea during enteral nutrition support for patients receiving enteral nutrition support is performed based on the collection and uploading of risk factor screening results, variable information and property information of the patient's defecation by the PDA intelligent medical terminal, including:

[0012] Collecting image data of the patient's defecation;

[0013] Analyze the variable information and property information of the patient's bowel movements based on the image data.

[0014] Optionally, the property information includes shape and texture, and further includes:

[0015] Acquiring the temperature data of the patient's defecation and the ambient temperature data when collecting the image data of the patient's defecation;

[0016] Predicting the patient's defecation time based on the temperature data and the ambient temperature data;

[0017] Theoretical property information of the patient's defecation time is predicted based on the patient's defecation time and the property information displayed in the image data of the patient's defecation.

[0018] Optionally, in each statistical period, the patient's diarrhea is evaluated based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table, including:

[0019] Based on the above, in each statistical period, diarrhea assessment is performed on the patient based on the variable information of the patient's defecation obtained during the period and the predicted theoretical property information through the KSC assessment table.

[0020] Optionally, analyzing the variable information of the patient's defecation based on the image data includes:

[0021] The variable information of the patient's defecation is analyzed based on the image data using pre-stored toilet design parameters as a calculation reference.

[0022] Optionally, also include:

[0023] When it is determined based on image data analysis that the nature of the patient's defecation is liquid, the remaining water in the toilet is discharged from the image data based on the water seal height parameter in the existing toilet design parameters to predict the variable information of the patient's defecation.

[0024] Optionally, also include:

[0025] The defecation direction of the patient is collected based on a sensor in the toilet bowl, and the defecation type of the patient is determined based on the defecation direction;

[0026] In the case where the defecation type is a stool type, the automatic flushing function is stopped or the key flushing control mode is changed to avoid information loss when the variable information and property information of the patient's defecation are not collected.

[0027] In a second aspect, the present invention further provides a diarrhea management device for patients receiving enteral nutrition support, comprising:

[0028] The collection unit is used to screen the risk factors of diarrhea during enteral nutrition support for patients receiving enteral nutrition support, and collect and upload the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal;

[0029] An evaluation unit, used to evaluate the diarrhea of ​​the patient based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table in each statistical period;

[0030] A prompting unit is used to extract risk factors for diarrhea during enteral nutrition support from the patient's medical record information when it is assessed that the patient has diarrhea, so as to generate a risk factor prompting message.

[0031] In a third aspect, an electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the method for managing diarrhea in patients with enteral nutrition support as described in any one of the first aspects above when executing the computer program stored in the memory.

[0032] In a fourth aspect, the present invention further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for managing diarrhea in patients with enteral nutrition support according to any one of the above items in the first aspect is implemented.

[0033] In summary, the diarrhea management method for patients with enteral nutrition support proposed in this application is to screen the risk factors of diarrhea during enteral nutrition support for patients with enteral nutrition support, collect and upload the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal; in each statistical period, the patient is evaluated for diarrhea based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table; when the patient is evaluated to have diarrhea, the risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message. As a result, real-time input reduces omissions in traditional paper records and improves the accuracy of data. Automated assessment and risk prompts greatly reduce the workload of nursing staff, allowing them to focus on other needs of patients. Personalized intervention based on specific risk factors improves the effectiveness of diarrhea management. Nursing staff can obtain diarrhea risk information in the shortest time, take measures quickly, and reduce the incidence of diarrhea.

[0034] The enteral nutrition support patient diarrhea management method of the present invention, other advantages, objectives and features of the present invention will be reflected in part through the following description, and in part will also be understood by technical personnel in the field through research and practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present specification. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0036] Figure 1 A schematic flow chart of a method for managing diarrhea in patients receiving enteral nutrition support provided in an embodiment of the present application;

[0037] Figure 2 A schematic diagram of the structure of a diarrhea management device for enteral nutrition support patients provided in an embodiment of the present application;

[0038] Figure 3 A schematic diagram of the structure of an electronic device for managing diarrhea in patients receiving enteral nutrition support provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments.

[0040] In order to solve the problem of no systematic diarrhea risk screening tool, the prevention and treatment of diarrhea depends on clinical experience. After diarrhea occurs, it is difficult to carry out targeted prevention and treatment based on possible risk factors. This leads to high incidence of diarrhea, poor control effect, and medical waste. Please refer to Figure 1 , is a flow chart of a method for managing diarrhea in patients receiving enteral nutrition support provided in an embodiment of the present application, which may specifically include: steps S110 to S130.

[0041] S110, screening of risk factors for diarrhea during enteral nutrition support for patients receiving enteral nutrition support, collecting and uploading risk factor screening results, variable information and property information of the patient's bowel movements based on the PDA smart medical terminal.

[0042] S120, in each statistical period, the patient's diarrhea is evaluated based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table.

[0043] S130, when it is assessed that the patient has diarrhea, extracting risk factors for diarrhea during enteral nutrition support from the patient's medical record information to generate a risk factor prompt message.

[0044] It is understandable that the occurrence of diarrhea is often caused by a variety of factors, including but not limited to intestinal microbial imbalance, malnutrition, antibiotic use, intestinal dysfunction, etc. Screening for these risk factors can help identify potential risks of diarrhea and prevent and intervene in the early stages. PDA smart medical terminal: Based on the patient's personal health information, caregivers can use PDA smart medical terminals (such as smartphones or dedicated devices) to screen for diarrhea risks. The screening content may include factors such as bowel movement frequency, stool characteristics, whether antibiotics are used, nutritional support programs, and intestinal disease history. Each screening result is uploaded to the electronic medical record system through a smart terminal device to form a complete patient information file. Using the PDA smart medical terminal, caregivers can record the variable information (such as bowel movement frequency, bowel movement volume) and property information (such as stool shape, color, odor, etc.) of the bowel movement in real time every time the patient defecates. In the set statistical period (such as 24 hours), the system will automatically summarize the collected bowel movement information and use the KSC evaluation form to evaluate diarrhea. Determine whether the patient has diarrhea based on the evaluation results. Once the assessment results show that the patient has diarrhea, the system will automatically extract the patient's risk factors during enteral nutrition support (such as nutritional formula, drug administration speed, previous medical history, etc.), generate risk warning messages, and provide response strategies for the risks. These warning messages will be directly reflected in the patient's medical records so that medical staff can respond quickly. Among them, risk factors may include the patient's physiological condition (age), high-risk drugs (antibiotics, high osmotic pressure drugs), treatment measures (ventilator), and nutritional preparations (high-fat milk, osmotic pressure, dosage, etc.).

[0045] For example, real-time recording and uploading of data can be supported through user-friendly applications. Equipment is deployed in the hospital and necessary training is carried out to ensure that nursing staff can use it proficiently. After each bowel movement of the patient, the nursing staff enters the corresponding bowel movement data through the PDA terminal. The data is uploaded to the hospital's information management system in real time to ensure that the information is updated in a timely manner. The system automatically calculates the bowel movement information within the cycle according to the preset KSC evaluation criteria and gives the evaluation result of diarrhea. For example, if a patient has more than 3 bowel movements within 24 hours and the stool is watery or the KSC score is greater than or equal to 15 points, the system will automatically prompt the risk of diarrhea. After detecting diarrhea, the system automatically analyzes the patient's medical history and nutritional support records to extract potential risk factors. For example, if the patient has recently changed the enteral nutrition formula and the fat emulsion content of the formula is high, the system will prompt that this may be a factor causing diarrhea. The system generates a specific risk factor prompt message and attaches it to the patient's medical record for reference by medical staff. For example, "The patient has been using Y nutritional formula since X date, and the fat emulsion concentration in the formula is X%. Diarrhea occurs. It is recommended to adjust the formula or monitor the bowel movement." For example, a patient developed diarrhea during enteral nutrition support, and the nursing staff recorded the patient's daily bowel movements through the PDA. The system showed in the assessment that the patient had more than three bowel movements in 24 consecutive hours and the stool was watery, and the KSC score was greater than or equal to 15, indicating that the patient might have diarrhea. At the same time, the system analysis found that the patient had just switched to a high-fat milk formula for enteral nutrition, indicating a possible risk factor. The nursing staff therefore reported this risk factor to the doctor and decided to adjust the formula to a low-fat milk version, and strengthened the patient's water monitoring, which effectively reduced the occurrence of diarrhea. Not only has the quality of care for patients receiving enteral nutrition support been improved, but also the patient's satisfaction and safety have been improved.

[0046] In summary, the enteral nutrition support patient diarrhea management method provided in the embodiment of the present application is to screen the risk factors of diarrhea during enteral nutrition support for enteral nutrition support patients, collect and upload the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal; in each statistical period, the patient is evaluated for diarrhea based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table; in the case of assessing the presence of diarrhea in the patient, the risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message. As a result, real-time input reduces omissions in traditional paper records and improves the accuracy of data. Automated assessment and risk prompts greatly reduce the workload of nursing staff, allowing them to focus on other needs of patients. Personalized intervention based on specific risk factors improves the effectiveness of diarrhea management. Nursing staff can obtain diarrhea risk information in the shortest time, take measures quickly, and reduce the incidence of diarrhea.

[0047] According to some embodiments, the risk factor screening for diarrhea during enteral nutrition support for patients receiving enteral nutrition support, based on the collection and uploading of risk factor screening results, variable information and property information of the patient's defecation by the PDA smart medical terminal, includes:

[0048] Collecting image data of the patient's defecation;

[0049] Analyze the variable information and property information of the patient's bowel movements based on the image data.

[0050] Understandably, the PDA is equipped with a high-definition camera for the collection of defecation images. High definition can capture subtle defecation features, which helps the accuracy of subsequent analysis. Image quality is improved through image processing algorithms (such as denoising, contrast enhancement, etc.). High-quality images reduce errors in analysis and make feature extraction more reliable. Edge detection, morphological analysis and other technologies are applied to identify the shape, color and texture of stool. Computer vision algorithms extract key features by analyzing the pixels of the image. The machine learning model is trained using historical annotated data to improve the accuracy and efficiency of recognition. The input of new data helps the model to continuously learn and optimize. According to the extracted features, the KSC (stool characteristics assessment chart) standard is compared to automatically determine whether the patient has diarrhea. Thresholds and rules are set to enable the system to make decisions quickly in real-time data analysis, reducing the time and error of human judgment. After the evaluation results show diarrhea, the system automatically extracts risk factors (such as nutritional formula, medical history, etc.) from the patient's medical records. Risk prompts related to diarrhea are generated to help medical staff make intervention decisions quickly.

[0051] For example, the hospital purchases a PDA smart medical terminal equipped with a high-definition camera to ensure that the device can support high-quality image acquisition. Nursing staff are trained on the use of the system and image capture, including privacy protection and data security measures. After the patient defecates, the nurse uses the PDA to capture images of the defecation, ensuring that the shooting angle and lighting are appropriate. The system interface provides simple operating instructions to ensure the clarity and completeness of the image. The image data is uploaded to the hospital information management system in real time, and the system automatically encrypts it to protect patient privacy. After uploading, the system generates corresponding records for subsequent analysis. The system preprocesses the uploaded images, uses computer vision technology to analyze, and extracts variable information (such as defecation frequency) and property information (such as watery samples, forming) of the defecation. After feature extraction, the system compares the data with the KSC evaluation criteria to determine whether it meets the diarrhea criteria. The system automatically generates the evaluation results and attaches risk warnings to the patient's medical records. If diarrhea occurs, the nurse will be notified and advised to take appropriate measures. Based on the evaluation results and prompts, the nurse will adjust the enteral nutrition plan or other nursing measures in a timely manner to prevent the condition from worsening. Therefore, through high-definition images and advanced image processing technology, errors caused by manual intervention are reduced and the reliability of data collection is enhanced. Through automated processes, the need for manual recording and calculation is reduced, and evaluation results are generated quickly. The system can provide customized nursing suggestions based on the patient's specific situation (such as historical records, current evaluations), improving the targeted nature of intervention. The system provides real-time monitoring functions to ensure that the patient's health status can be monitored at any time and nursing staff can respond quickly.

[0052] Suppose that in a certain hospital, a patient receiving enteral nutrition has frequent bowel movements. The nurse used a PDA to take an image of the patient's bowel movement. After the system analyzed the image, it recognized that the stool was watery and light in color, which was consistent with the characteristics of diarrhea. The system immediately generated an evaluation result, and combined with the patient's medical records, it found that the patient had recently changed to a high-sugar nutritional formula. Based on this analysis, the system issued a risk warning to the nurse, suggesting that the nutritional formula be adjusted and water monitoring be increased. The nurse quickly adjusted the plan according to the system prompts, avoiding the worsening of the patient's condition and ensuring the patient's health. This series of automated and real-time management measures has significantly improved nursing efficiency and patient satisfaction.

[0053] In some examples, the property information includes shape and texture, and also includes:

[0054] Acquiring the temperature data of the patient's defecation and the ambient temperature data when collecting the image data of the patient's defecation;

[0055] Predicting the patient's defecation time based on the temperature data and the ambient temperature data;

[0056] Theoretical property information of the patient's defecation time is predicted based on the patient's defecation time and the property information displayed in the image data of the patient's defecation.

[0057] It is understandable that when collecting images of patients' defecation, the temperature of the patients' defecation and the ambient temperature are recorded. This data will provide a basis for subsequent property speculation. The temperature of the feces will decrease over time, and changes in ambient temperature will also affect the degree of water evaporation in the feces, thereby affecting its final texture. Although image acquisition may be performed some time after defecation, the initial state of the feces at the time of defecation can be inferred through temperature data. This is because the rate of temperature change has a certain correlation with texture change. Combined with historical data (such as changes in feces texture at different temperatures), a model is established to infer the properties of feces when they are just discharged. Using the analysis of temperature and environmental data, the system can infer the theoretical properties of feces at defecation. For example, by comparing the current temperature with historical defecation data, it is determined whether the feces will harden due to water evaporation. Combine temperature data with historical records to establish an association model for changes in feces texture under specific conditions.

[0058] Exemplarily, the PDA device needs to be equipped with a temperature sensor that can record temperature data while collecting defecation images. The system software should be updated to support real-time collection and analysis of temperature data. After the patient defecates, the caregiver uses the PDA to take images of the defecation and records the defecation temperature and ambient temperature. The system automatically uploads the image and temperature data to the hospital information management system to ensure data security and integrity. The system preprocesses the uploaded images and analyzes the current feces property information in combination with the temperature data. The algorithm predicts the properties of the feces when they are just discharged under the current environmental conditions. Based on the prediction model of temperature changes, combined with the feces properties shown in the image, the system infers the theoretical property information of the feces when they are discharged. The generated inference results will be used to assist caregivers in formulating follow-up care plans. Therefore, by analyzing the relationship between temperature changes and feces properties, the system can infer its original properties without collecting feces in real time. The system monitors the temperature in real time to provide data support for the dynamic changes in feces properties and enhance the responsiveness of caregivers. By inferring the initial properties of feces, caregivers can adjust care measures according to the actual conditions of different patients and improve the pertinence of intervention. Combined with temperature and image analysis, the system can quickly generate effective care recommendations to help medical staff make scientific decisions.

[0059] For example, in a hospital, a patient received enteral nutrition support and experienced frequent watery bowel movements. The nurse used a PDA to take images of the patient's bowel movements and recorded the temperature (37°C) and ambient temperature (22°C) during bowel movements. Although the stool shown in the image is already a bit hard, the system analyzes the temperature data and combines the patient's historical bowel movement records to infer that the stool may be watery when it is just discharged. The system prompts the nurse and recommends timely adjustment of the patient's nutritional formula and increase of water intake to prevent dehydration. After the adjustment, the patient's bowel movement status has improved and the nursing effect has been significantly improved. This management method based on multidimensional data analysis not only enhances nursing efficiency, but also improves patient safety and satisfaction.

[0060] In some examples, in each statistical period, the patient's diarrhea is evaluated based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table, including:

[0061] Based on the above, in each statistical period, diarrhea assessment is performed on the patient based on the variable information of the patient's defecation obtained during the period and the predicted theoretical property information through the KSC assessment table.

[0062] It is understandable that the KSC (Stool Properties Chart) assessment form is a standardized tool used to classify and score the nature of a patient's bowel movements to determine whether diarrhea is present. The form provides a basis for clinical decision-making by recording the shape, color, texture and other characteristics of the bowel movements. Variable information includes the actual number of bowel movements of the patient in each statistical period, the image characteristics of the bowel movements (such as shape, color, texture), etc. Theoretical property information is the nature of stool predicted based on temperature data and historical records, which can provide a supplement to actual observations. Combining the actual collected information with the predicted theoretical property information, a more comprehensive assessment of the patient's diarrhea condition can be made.

[0063] Exemplarily, in each statistical period, the nursing staff records the patient's defecation variable information, including the number of defecations, image data, etc. The system also uses the aforementioned method to predict the theoretical property information within the period. At the end of the period, the nursing staff uses the KSC evaluation form for evaluation. First, the actual defecation variable information is recorded, and then a comprehensive evaluation is performed in combination with the predicted theoretical property information. The system can provide automated support to help nursing staff quickly fill out the KSC form and reduce human errors. According to the total score of the KSC evaluation form and the comparative theoretical property information, the system will automatically generate diarrhea evaluation results. If the evaluation results show that the patient has diarrhea, the system will prompt the nursing staff to take corresponding intervention measures, such as adjusting the nutritional support plan or monitoring water intake. Thus, the actual defecation data and the predicted theoretical property information can more comprehensively reflect the patient's true state. Through the evaluation results generated by the system, nursing staff can make more scientific clinical decisions based on more comprehensive information. The defecation characteristics and reactions of each patient may be different. Combined with the predicted information, personalized nursing plans can be provided for patients. The automated data collection and evaluation process reduces the workload of nursing staff and improves work efficiency.

[0064] For example, in a certain hospital, a patient receiving enteral nutrition support defecated a total of 5 times in a statistical period. The nursing staff recorded the image of each defecation, and the system predicted the theoretical properties of the stool based on the temperature data. When filling out the KSC evaluation form, the nursing staff used the actual defecation data (such as the shape is formed, the stool color is normal) and theoretical property information (predicting that the stool is watery) for a comprehensive assessment. The system automatically calculates the score, and the final result shows that the patient may be at risk of mild diarrhea. Based on this assessment result, the nursing staff decided to increase the patient's water intake and review his nutritional formula to ensure that the patient's nutritional support is in line with actual needs. This comprehensive evaluation method not only improves the quality of care, but also effectively reduces the risk of diarrhea.

[0065] In some examples, analyzing the variable information of the patient's defecation based on the image data includes:

[0066] The variable information of the patient's defecation is analyzed based on the image data using pre-stored toilet design parameters as a calculation reference.

[0067] It is understood that design parameters refer to information related to the geometric shape, size, depth, tilt angle, etc. of the toilet, which are defined based on the design of a standard toilet. These parameters can be used as a benchmark to calibrate and compare image data of actual defecation to obtain more accurate variable information. After the patient defecates, a PDA is used to collect images of defecation in the toilet. Computer vision technology is used in combination with toilet design parameters to analyze variable information such as the shape, size, and position of the defecation. By comparing the image data with the toilet design parameters, the errors caused by shooting angles and environmental influences are reduced, and the accuracy of data analysis is improved.

[0068] Exemplarily, the design parameters of various types of toilets are collected and a database is established. Including information such as the height, width, and shape of the toilet. Ensure that these parameters are stored in a standardized manner to facilitate subsequent calls and comparisons. After the patient defecates, the nursing staff uses a PDA to take a defecation image in the toilet, and the system automatically uploads the image data. The system preprocesses the collected images to improve the image quality (noise removal, contrast enhancement, etc.). Using the image processing algorithm, the defecation features in the image (such as shape, area, volume) are compared and analyzed with the pre-stored toilet design parameters. According to the design parameters, the system can infer the relative position and state of the feces and calculate the variable information (such as defecation volume, texture, etc.). The system generates a detailed evaluation report based on the analysis results, including the patient's defecation variable information, possible diarrhea risks, etc. Nursing staff can adjust nursing measures based on the report and optimize the patient's enteral nutrition support plan. Therefore, by comparing with the pre-stored toilet design parameters, the system can effectively reduce the impact of the environment and shooting angle on image analysis, thereby improving the accuracy of variable information. Through design parameter calibration, the system can more accurately estimate the defecation volume and provide corresponding property evaluation. The system can provide personalized nursing advice based on accurate defecation data and optimize the patient's treatment plan. Through the system's automated data analysis and report generation, the workload of nursing staff can be reduced and the timeliness of decision-making can be improved.

[0069] For example, in a hospital, a patient was receiving enteral nutrition support, and the nurse used a PDA to take an image of the patient's defecation in the toilet. The system acquired and analyzed the image data, and analyzed it in combination with the pre-stored toilet design parameters (for example, the toilet depth is 30cm and the width is 40cm). The analysis results showed that the patient's bowel movement shape and volume exceeded the normal range, and the system calculated that the stool volume was approximately 600ml, which exceeded the capacity of the toilet. Based on this information, the system prompts the nurse that the patient may be at risk of diarrhea, and recommends adjusting his nutrition plan and increasing water intake. In this way, the hospital can obtain more accurate data in defecation assessments, improve the quality of care, and ensure patient safety.

[0070] In some examples, this also includes:

[0071] When it is determined based on image data analysis that the nature of the patient's defecation is liquid, the remaining water in the toilet is discharged from the image data based on the water seal height parameter in the existing toilet design parameters to predict the variable information of the patient's defecation.

[0072] It is understandable that the water seal height refers to the height of the water surface in the toilet bowl, and this height is closely related to the nature of defecation (liquid, solid) and the effective volume of the toilet bowl. The effect of the water seal height on the amount of water remaining in the toilet bowl can be used to infer the state of the toilet bowl after defecation, especially in the case of liquid defecation. The nature of the defecation (such as liquid, solid) is determined by image analysis technology. If it is determined to be liquid, the system will continue to predict the amount of water. Using the water seal height parameters and the visible water surface state in the image data, the system can estimate the amount of water remaining in the toilet bowl. These data, combined with the defecation nature information, can be used to predict specific variable information of defecation, such as the amount of defecation and the degree of loose stools.

[0073] Exemplarily, a toilet design parameter database is established, which includes water seal height and other relevant physical properties. After the patient defecates, the nursing staff uses a PDA to take an image of the toilet, and the system automatically uploads the image data for analysis. The system first analyzes the image to determine the nature of the defecation. If the nature is judged to be liquid, the system will extract the height of the water surface in the toilet and compare it with the stored water seal height parameter. By comparing the water surface height and the water seal height, the system can calculate the remaining water in the toilet. This process can be achieved by a simple calculation formula. Combined with the remaining water volume and defecation nature information, the system can generate a detailed prediction report on the patient's defecation volume and nature. The prediction results will be fed back to the nursing staff for adjusting the nursing plan or further observation. Thus, by analyzing the water seal height and the remaining water volume of the toilet, the amount and nature of liquid defecation can be more accurately judged. The prediction results of the system can provide effective information for nursing staff to help them formulate more personalized nursing plans. Based on accurate information on the remaining water volume and defecation nature, the system can help nursing staff make scientific clinical decisions. Automated data processing and analysis reduces the workload of nursing staff and improves efficiency.

[0074] For example, in a hospital, after a patient receiving enteral nutrition support defecated, the nurse used a PDA to take an image of the toilet. After image analysis, the system determined that the defecation was liquid. Subsequently, the system obtained the water seal height of 12cm from the toilet design parameters, and measured the water surface height of 4cm through image analysis. Through calculation, the system deduced that the remaining water volume in the toilet was 8cm. Based on this data, the system generated an assessment report, pointing out that the patient may be at risk of dehydration, and advised the nurse to increase water intake and closely observe the patient's bowel movements in the next period of time. This method effectively combines water seal height parameters and image data, provides a more accurate defecation assessment, and ensures the safety and quality of care of the patient.

[0075] In some examples, this also includes:

[0076] The defecation direction of the patient is collected based on a sensor in the toilet bowl, and the defecation type of the patient is determined based on the defecation direction;

[0077] In the case where the defecation type is a stool type, the automatic flushing function is stopped or the key flushing control mode is changed to avoid information loss when the variable information and property information of the patient's defecation are not collected.

[0078] It is understandable that sensors (such as pressure sensors or infrared sensors) installed in the toilet can monitor the patient's defecation direction in real time. Based on the angle and position of defecation, the system can determine whether it is defecation or urination. Usually, feces and urine enter the toilet in different directions. Feces are usually discharged into the toilet from a lower position, while urine may be discharged from a higher position or a central position. Even if watery stool is similar to urine in shape, the direction in which it is injected into the toilet can be used as a basis for distinction. The system accurately identifies the type of defecation by analyzing sensor data. When it is confirmed that the defecation type is feces, the system will automatically stop the flushing function or adjust the flushing control strategy to avoid information loss when complete defecation data is not collected.

[0079] Exemplarily, sensors are deployed in the toilet to ensure that the patient's defecation direction can be monitored, and the data is transmitted to the central control system in real time. When the patient defecates, the sensor records the direction of defecation. The system analyzes this direction data through an algorithm to determine the type of defecation (defecation or urination). At the same time, the system records the time and other relevant data to provide support for subsequent analysis. When the system confirms that the defecation type is defecation, it stops the automatic flushing function to ensure that the flushing is performed after the data collection is completed. If the patient needs to be cleaned, the system allows manual control of the flushing, but the operation needs to be recorded for subsequent review. After defecation, the system stores the variable information and property information of the defecation in the database to ensure the integrity and traceability of the information. The system marks the state of not flushing so that the nursing staff can conduct subsequent inspections. Therefore, by ensuring that the flushing is not performed immediately in the case of the defecation type, the data loss caused by flushing is avoided, and the integrity of information collection is improved. The flushing strategy is dynamically adjusted according to the defecation type, which improves the efficiency of the toilet and the convenience of the nursing staff. Accurate defecation type identification provides an important basis for clinical decision-making and helps nursing staff adjust the nursing plan. Reasonably control the flushing time and method to enhance the patient's comfort and sense of security when using the toilet.

[0080] For example, in a hospital, a patient used a smart toilet equipped with a sensor to defecate. The sensor in the toilet monitored the patient's defecation direction in real time, and the system analysis found that the defecation direction was consistent with the characteristics of stool. Therefore, the system automatically stopped the flushing function and recorded the event. After the nursing staff checked the defecation information through the monitoring system, they decided to record the variable information of the feces, including the amount and nature, before cleaning the toilet. This method effectively combines the identification of defecation direction and type, ensuring the optimization of toilet use management without losing important data, and improving the efficiency and quality of nursing work.

[0081] See also Figure 2 , an embodiment of the enteral nutrition support patient diarrhea management device in the embodiment of the present application may include:

[0082] The collection unit 21 is used to screen the risk factors of diarrhea during enteral nutrition support for patients receiving enteral nutrition support, and collect and upload the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal;

[0083] An evaluation unit 22, for evaluating the diarrhea of ​​the patient in each statistical period, based on the variable information and property information of the patient's defecation obtained in the period, using a KSC evaluation table;

[0084] The prompting unit 23 is used to extract risk factors for diarrhea during enteral nutrition support from the patient's medical record information when it is assessed that the patient has diarrhea, so as to generate a risk factor prompting message.

[0085] In summary, the enteral nutrition support patient diarrhea management device provided in the embodiment of the present application screens the risk factors of diarrhea during enteral nutrition support for enteral nutrition support patients, collects and uploads the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal; in each statistical period, the patient is evaluated for diarrhea based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table; in the case of assessing the presence of diarrhea in the patient, the risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message. As a result, real-time input reduces omissions in traditional paper records and improves the accuracy of data. Automated assessment and risk prompts greatly reduce the workload of nursing staff, allowing them to focus on other needs of patients. Personalized intervention based on specific risk factors improves the effectiveness of diarrhea management. Nursing staff can obtain diarrhea risk information in the shortest time, take measures quickly, and reduce the incidence of diarrhea.

[0086] like Figure 3 As shown, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 320 and executable on the processor. When the processor 320 executes the computer program 311, the steps of any one of the above-mentioned methods for managing diarrhea in patients with enteral nutrition support are implemented:

[0087] Screening of risk factors for diarrhea during enteral nutrition support for patients, collecting and uploading risk factor screening results, patient defecation variable information and property information based on the PDA intelligent medical terminal;

[0088] In each statistical period, the KSC evaluation form is used to evaluate the diarrhea of ​​patients based on the variable information and property information of the patients' bowel movements obtained during the period;

[0089] In case the patient is assessed to have diarrhea, risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message.

[0090] Since the electronic device introduced in this embodiment is a device used to implement a diarrhea management device for enteral nutrition support patients in the embodiment of the present application, based on the method introduced in the embodiment of the present application, technical personnel in this field can understand the specific implementation mode of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present application will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present application is within the scope of protection of this application.

[0091] In the specific implementation process, when the computer program 311 is executed by the processor, it can achieve Figure 1 Any implementation method in the corresponding embodiment:

[0092] Screening of risk factors for diarrhea during enteral nutrition support for patients, collecting and uploading risk factor screening results, patient defecation variable information and property information based on the PDA intelligent medical terminal;

[0093] In each statistical period, the KSC evaluation form is used to evaluate the diarrhea of ​​patients based on the variable information and property information of the patients' bowel movements obtained during the period;

[0094] In case the patient is assessed to have diarrhea, risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message.

[0095] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0097] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0098] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0100] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 The process of managing diarrhea in patients receiving enteral nutrition support in the corresponding embodiment.

[0101] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0102] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0103] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0104] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0106] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0107] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for managing diarrhea in patients receiving enteral nutrition support, characterized in that: include: Screening of risk factors for diarrhea during enteral nutrition support for patients, collecting and uploading risk factor screening results, patient defecation variable information and property information based on the PDA intelligent medical terminal; In each statistical period, the KSC evaluation form is used to evaluate the diarrhea of ​​patients based on the variable information and property information of the patients' bowel movements obtained during the period; In case the patient is assessed to have diarrhea, risk factors for diarrhea during enteral nutrition support are extracted from the patient's medical record information to generate a risk factor prompt message.

2. The method according to claim 1, characterized in that The risk factor screening for diarrhea during enteral nutrition support for patients receiving enteral nutrition support is based on the collection and uploading of risk factor screening results, variable information and property information of the patient's defecation by the PDA intelligent medical terminal, including: Collecting image data of the patient's defecation; Analyze the variable information and property information of the patient's bowel movements based on the image data.

3. The method according to claim 2, characterized in that The property information includes shape and texture, and also includes: Acquiring the temperature data of the patient's defecation and the ambient temperature data when collecting the image data of the patient's defecation; Predicting the patient's defecation time based on the temperature data and the ambient temperature data; Theoretical property information of the patient's defecation time is predicted based on the patient's defecation time and the property information displayed in the image data of the patient's defecation.

4. The method according to claim 3, characterized in that In each statistical period, the patient's diarrhea is evaluated based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table, including: Based on the above, in each statistical period, diarrhea assessment is performed on the patient based on the variable information of the patient's defecation obtained during the period and the predicted theoretical property information through the KSC assessment table.

5. The method according to claim 2, characterized in that The analyzing the variable information of the patient's defecation based on the image data comprises: The variable information of the patient's defecation is analyzed based on the image data using pre-stored toilet design parameters as a calculation reference.

6. The method according to claim 5, characterized in that Also includes: When it is determined based on image data analysis that the nature of the patient's defecation is liquid, the remaining water in the toilet is discharged from the image data based on the water seal height parameter in the existing toilet design parameters to predict the variable information of the patient's defecation.

7. The method according to any one of claims 1 to 6, characterized in that Also includes: The defecation direction of the patient is collected based on a sensor in the toilet bowl, and the defecation type of the patient is determined based on the defecation direction; In the case where the defecation type is a stool type, the automatic flushing function is stopped or the key flushing control mode is changed to avoid information loss when the variable information and property information of the patient's defecation are not collected.

8. A diarrhea management device for patients receiving enteral nutrition support, characterized in that: include: The collection unit is used to screen the risk factors of diarrhea during enteral nutrition support for patients, and collect and upload the risk factor screening results, the variable information and property information of the patient's defecation based on the PDA intelligent medical terminal; An evaluation unit, used to evaluate the diarrhea of ​​the patient based on the variable information and property information of the patient's defecation obtained during the period through the KSC evaluation table in each statistical period; A prompting unit is used to extract risk factors for diarrhea during enteral nutrition support from the patient's medical record information when it is assessed that the patient has diarrhea, so as to generate a risk factor prompting message.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor is used to implement the steps of the method for managing diarrhea in patients with enteral nutrition support as described in any one of claims 1 to 7 when executing the computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for managing diarrhea in patients receiving enteral nutrition support as described in any one of claims 1 to 7 is implemented.

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