Real-time monitoring method and early warning system for 24-hour input and output of patient

Abstract

The invention discloses a real-time monitoring method and early warning system for 24-hour input and output of a patient, and the method comprises the steps: obtaining the intake data and input data of a monitored object, and generating the input data of the monitored object; obtaining dominant water loss data and recessive water loss data of a monitored object, and generating output data of the monitored object; and according to the input data and the output data, calculating the total value of the input and output of the patient in 24 hours. According to the real-time monitoring method and the monitoring and early warning system for 24-hour input and output of the patient, automatic acquisition and processing of 24-hour input and output data of the patient are achieved, convenience and timeliness of data recording are remarkably improved, burdens of medical staff and the patient are relieved, data reliability is improved, and the real-time monitoring and early warning system for 24-hour input and output of the patient is achieved. Therefore, medical staff can timely and accurately master the water, electrolyte and acid-base balance conditions of the patient, the compliance of the patient is also improved, and the whole monitoring process is more standard and efficient.

Description

Technical Field

[0001] The present invention relates to the technical field of data monitoring, and in particular to a method and an early warning system for real-time monitoring of a patient's 24-hour intake and output. Background Art

[0002] Intake and output monitoring is a basic task in clinical nursing. The 24-hour intake and output refers to the total amount of all fluids that enter and leave the human body in a day. Accurate recording of intake and output is of great guiding significance for understanding the patient's water, electrolyte and acid-base balance status.

[0003] The input includes two main parts: one is the patient's intake, including liquids and drinking water in daily diet; the other is the medical-related input, which mainly refers to the amount of infusion and blood transfusion. The recording of these data requires the cooperation of patients or their families and medical staff. In actual work, the patient's diet and drinking water often need to rely on the records of patients or their families, while infusion and blood transfusion are mainly recorded by nursing staff.

[0004] Output also includes multiple parts: explicit water loss and implicit water loss. Explicit water loss includes urine, stool water content, vomit, sputum volume, hemoptysis, bleeding, gastrointestinal decompression, and various drainage volumes. Implicit water loss mainly refers to the evaporation of water through the skin and respiratory tract, and this part of the data often needs to be estimated based on the patient's specific situation.

[0005] However, in current clinical practice, the recording of 24-hour intake and output mainly relies on manual operation, which has many inconveniences. First, the data sources are scattered, and multiple parties need to participate in the recording. Second, the recording process is cumbersome and requires attention and timely recording at all times. Third, data statistics require manual calculation, which is prone to calculation errors. In actual work, due to the complexity of the recording work, patients or their families often do not cooperate well. Some patients may not be able to record in time because they find it troublesome, or the records are not detailed enough or omitted. These factors will affect the accuracy of the final data. Summary of the invention

[0006] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. To this end, the purpose of the present invention is to provide a real-time monitoring method and early warning system for the patient's 24-hour intake and output.

[0007] To achieve the above object, on the one hand, a method for real-time monitoring of a patient's 24-hour intake and output according to an embodiment of the present invention comprises:

[0008] Acquire intake data and input data of the monitored object, and generate input data of the monitored object;

[0009] Obtain explicit water loss data and implicit water loss data of the monitored object, and generate output data of the monitored object;

[0010] The total value of the patient's 24-hour intake and output is calculated based on the intake data and output data.

[0011] According to one embodiment of the present invention, the intake data includes food name, food intake quality or quantity, and water drinking data;

[0012] The acquiring of intake data and input data of the monitored object and generating the input data of the monitored object comprises:

[0013] According to the food name, food intake quality or quantity entered by the user, the water content table of common foods in the database is searched, and the dietary water content data is converted and calculated;

[0014] According to the set time node, the dietary water content data within 24 hours is added to the drinking water data and the input data to obtain the intake data of the monitored object, and the input data includes the infusion volume and the blood transfusion volume.

[0015] According to one embodiment of the present invention, the apparent water loss data includes urine, stool water content, vomitus, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume and drainage volume;

[0016] The obtaining of the apparent water loss data of the monitored object comprises:

[0017] Obtain the monitored subjects' urine, stool water content, vomitus, sputum volume, hemoptysis, bleeding volume, gastrointestinal decompression volume, and drainage volume;

[0018] The apparent water loss data of the monitored subject is calculated based on the urine volume, stool water content, vomitus water content, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume, and drainage volume.

[0019] According to one embodiment of the present invention, obtaining urine of the monitored object includes: receiving urine data obtained by measurement input by a user, or receiving urine data of a patient with an indwelling urinary catheter uploaded by a urine volume monitoring device, or receiving urine data calculated based on diaper weighing input by a user;

[0020] Obtaining the stool water content of the monitored object includes: receiving the stool type and weight entered by the user, and searching for the stool water content ratio according to the stool type, and then calculating the stool water content according to the stool water content ratio and weight.

[0021] According to one embodiment of the present invention, the implicit water loss data includes moisture data of skin and breath evaporation:

[0022] Obtaining the hidden water loss data of the monitored object includes:

[0023] Receive body temperature data, sweat-soaked clothing type and quantity, and patient tracheal status input by the user;

[0024] The hidden water loss data is calculated based on the body temperature data, the type and amount of sweat-soaked clothing, and the patient's tracheal status according to the following calculation rules: the basic value of daily skin and respiratory evaporation is 850 ml; relative to the normal body temperature data, for every 1°C increase in body temperature, the daily water loss per kilogram of body weight will increase by 3 to 5 ml; the water loss caused by sweat soaking a shirt and pants is 1000 ml; the water loss caused by breathing in a tracheotomy patient is 2 to 3 times that of normal.

[0025] According to one embodiment of the present invention, obtaining the stool water content of the monitored object includes:

[0026] Receive the stool type and weight entered by the user, as well as the stool picture uploaded by the user;

[0027] Performing rough recognition on the stool image to determine the stool reference type, and outputting a confirmation prompt;

[0028] After the user confirms, the stool reference type is used as the stool water content ratio range for searching under the type; after the user denies, the stool type entered by the user is used as the stool water content ratio range for searching under the type;

[0029] Performing precise identification on the stool image to determine the consistency of the stool, and determining a specific ratio value within the stool water content ratio range as the stool water content ratio according to the consistency of the stool.

[0030] The stool water content is calculated based on the stool water content ratio and weight.

[0031] According to an embodiment of the present invention, the accurate identification of the stool image to determine the consistency of the stool, and determining a specific ratio value within the stool water content ratio range as the stool water content ratio according to the consistency, includes:

[0032] Use image segmentation algorithm to extract stool features and analyze stool color, shape, and texture features;

[0033] Use convolutional neural networks to extract and classify features, and output the corresponding grades of the stool classification scale;

[0034] According to the classification level, a corresponding ratio value is automatically matched within the stool water content ratio range as the stool water content ratio.

[0035] According to one embodiment of the present invention, it also includes:

[0036] Calculate the total value of input and output in real time, and compare the total value of input and output with the set threshold;

[0037] When the total value of the inflow and outflow exceeds the set threshold, a warning prompt message is generated, and the warning message is pushed to the medical terminal of the relevant medical staff.

[0038] According to one embodiment of the present invention, obtaining the hidden water loss data of the monitored object further includes:

[0039] The daily basal values ​​for skin and respiratory evaporation are adjusted according to the patient's age and weight.

[0040] On the other hand, a patient's 24-hour intake and output real-time monitoring and early warning system according to an embodiment of the present invention includes:

[0041] Monitoring platform;

[0042] A medical terminal, which is in communication with the monitoring platform and is used for medical staff to upload at least one of intake data, input data, explicit water loss data, and implicit water loss data;

[0043] A patient terminal, wherein the medical terminal is in communication connection with the monitoring platform, and is used for medical staff to upload at least one of intake data, input data, explicit water loss data, and implicit water loss data;

[0044] Among them, the monitoring platform is used to generate the intake data of the monitored object according to the intake data and the input data, generate the output data of the monitored object according to the explicit water loss data and the implicit water loss data, and calculate the total intake and output of the patient for 24 hours according to the intake data and the output data, and compare the total intake and output with the set threshold value. When the total intake and output exceeds the set threshold value, an early warning prompt message is generated, and the early warning message is pushed to the medical terminal and the patient terminal.

[0045] The real-time monitoring method and early warning system for the patient's 24-hour intake and output provided in accordance with the embodiments of the present invention realizes the automatic collection and processing of the patient's 24-hour intake and output data, significantly improving the convenience and timeliness of data recording, which not only reduces the burden on medical staff and patients, but also improves the reliability of data, enabling medical staff to timely and accurately understand the patient's water, electrolyte and acid-base balance status, while also improving the patient's compliance, making the entire monitoring process more standardized and efficient.

[0046] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0048] Figure 1 It is a flow chart of an embodiment of a method for real-time monitoring of a patient's 24-hour intake and output of the present invention;

[0049] Figure 2 It is a flow chart of another embodiment of the method for real-time monitoring of patient's 24-hour intake and output of the present invention;

[0050] Figure 3 It is a flow chart of the stool water content acquisition step in the embodiment of the method for real-time monitoring of the patient's 24-hour intake and output of the present invention;

[0051] Figure 4 It is a structural schematic diagram of an embodiment of a patient's 24-hour intake and output real-time monitoring and early warning system of the present invention.

[0052] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0053] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but are not to be construed as limiting the present invention. All other embodiments obtained by ordinary technicians in the field without creative work based on the embodiments of the present invention are within the scope of protection of the present invention.

[0054] The following describes in detail the method for real-time monitoring of a patient's 24-hour intake and output according to an embodiment of the present invention with reference to the accompanying drawings.

[0055] Reference Figure 1 As shown, a method for real-time monitoring of patient intake and output for 24 hours according to an embodiment of the present invention includes:

[0056] S101. Obtain the intake data and input data of the monitored object, and generate the intake data of the monitored object. The intake includes two types of data, namely intake data and input data. The intake data includes the amount of liquid and drinking water contained in the patient's daily diet. These data are recorded through cups with scales, tableware, etc., or entered by the patient through the patient terminal 300. Input data mainly refers to medical-related infusion volume, blood transfusion volume, etc. This part of data is automatically collected by medical equipment, or medical staff enters it through the medical terminal 200, etc., to achieve accurate recording of data. These two types of data are automatically processed to generate complete intake data of the monitored object.

[0057] S102, obtaining explicit water loss data and implicit water loss data of the monitored object, and generating output data of the monitored object. That is, collecting explicit water loss data and implicit water loss data respectively. Explicit water loss data include urine, stool volume, vomitus, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume and various drainage volumes, etc. These data are collected by intelligent urine volume meters, drainage bag monitors and other equipment, or entered by medical staff through the medical terminal 200. Implicit water loss data mainly refers to water discharged through skin evaporation and respiratory tract, which can be estimated based on parameters such as the patient's weight, combined with factors such as ambient temperature. After the two types of data are processed, complete output data of the monitored object are formed.

[0058] S103. Calculate the total intake and output of the patient for 24 hours based on the intake data and output data.

[0059] That is to say, the acquired intake and output data are calculated in real time to obtain an accurate 24-hour total intake and output value. Preferably, in this process, not only can the current intake and output status be displayed in real time, but also a detailed data report can be generated, including specific information of various intake and output data, to provide comprehensive reference information for medical staff.

[0060] The method for real-time monitoring of the patient's 24-hour intake and output provided by the embodiment of the present invention realizes the automatic collection and processing of the patient's 24-hour intake and output data, significantly improving the convenience and timeliness of data recording, which not only reduces the burden on medical staff and patients, but also improves the reliability of data, enabling medical staff to timely and accurately understand the patient's water, electrolyte and acid-base balance status, while also improving the patient's compliance, making the entire monitoring process more standardized and efficient.

[0061] In some embodiments of the present invention, the intake data includes food name, food intake quality or quantity, and water drinking data.

[0062] The acquiring of intake data and input data of the monitored object and generating the input data of the monitored object comprises:

[0063] According to the food name, food intake quality or quantity entered by the user, the common food water content table in the database is searched, and the dietary water content data is converted and calculated. Among them, the entry of food names adopts a standardized classification system, including staple foods, vegetables, fruits, soups and other different categories. The patient terminal 300 or the medical terminal 200 can set an interactive interface, which can set optional category name options and input weight or quantity options. The user can perform entry operations on the patient terminal 300 or the medical terminal 200. The food intake can be measured in multiple units such as gram weight and number according to the actual situation. The drinking water data directly records the number of milliliters of drinking water.

[0064] The water content table of common foods is a standard table that contains information such as the name, unit, raw material weight, and water content of various foods, such as rice (name), one bowl (unit), 100g (raw material weight), and 240ml (water content). According to the food name and intake entered by the user, the corresponding water content table of common foods is automatically searched and numerical conversion is performed to obtain the actual water content contained in each food.

[0065] According to the set time nodes, the dietary water content data within 24 hours are added to the drinking water data and input data to obtain the intake data of the monitored object, and the input data includes the infusion volume and blood transfusion volume. When calculating the total intake in 24 hours, all data within a complete cycle are summarized. Specifically, the food water content, drinking water volume, and medical-related input data (including infusion volume and blood transfusion volume) calculated above will be added up. In this process, the recording time is automatically identified to ensure that only data within the 24-hour time window is counted to avoid duplicate calculations or omissions.

[0066] In this embodiment, a table lookup is used to automatically calculate and convert the water content of the food, so that the intake data can be obtained more simply and quickly. Compared with the traditional method that requires patients to record and calculate by themselves, this automated intake data collection and calculation method not only improves the convenience and efficiency of data acquisition, but also improves the accuracy of the data.

[0067] In some embodiments of the present invention, the apparent water loss data include urine, stool water content, vomitus, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume and drainage volume.

[0068] The obtaining of the apparent water loss data of the monitored object comprises:

[0069] Obtain the monitored subject's urine, stool water content, vomitus, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume, and drainage volume.

[0070] The apparent water loss data of the monitored subject is calculated based on the urine volume, stool water content, vomitus water content, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume, and drainage volume.

[0071] In this embodiment, by acquiring various explicit water loss data of the monitored object, comprehensive data statistics are provided, and more accurate intake and output data can be obtained, which helps medical staff to more accurately assess the patient's physical condition.

[0072] In one embodiment of the present invention, obtaining urine of the monitored subject includes: receiving urine data obtained by measurement entered by a user, or receiving urine data of a patient with an indwelling urinary catheter uploaded by a urine volume monitoring device, or receiving urine data calculated based on diaper weighing entered by a user.

[0073] Obtaining the stool water content of the monitored object includes: receiving the stool type and weight entered by the user, and searching for the stool water content ratio according to the stool type, and then calculating the stool water content according to the stool water content ratio and weight.

[0074] In this embodiment, regarding the acquisition method of urine data, this embodiment provides three different collection methods to adapt to the actual conditions of different patients: the first is for patients who can urinate autonomously, and the medical staff or patients use tools such as containers with scales to measure, and manually enter the data into the patient terminal 300 or the medical terminal 200; the second is for patients with indwelling catheters, by installing a urine volume monitoring device on the catheter, the device can automatically measure and upload urine volume data in real time, thereby realizing continuous monitoring of urine volume; the third is for patients who use diapers, the urine volume is calculated by weighing, specifically, the actual urine volume is obtained by subtracting the dry weight of the diaper from the wet weight of the diaper. The settings of these three methods ensure the accurate collection of urine volume data of patients in different situations.

[0075] Regarding the determination of stool water content, this embodiment adopts a calculation method based on stool property classification. A standardized stool type classification option is provided, and stool can be divided into different types, each type corresponding to a different water content ratio, for example: constipation: water content is about 5-15%, and the hardness is similar to old corn. Normal defecation: water content is about 20-30%, and the hardness is similar to dough or banana flesh. Paste stool: water content is about 50-80%. Loose stool (watery stool): water content is more than 80%. When recording, medical staff or patients first need to select the type of stool and record the weight of the stool, which can be obtained by weighing. After obtaining the stool type and weight, the system automatically matches the corresponding water content ratio according to the selected stool type, and then automatically calculates the actual water content according to the weight. This method avoids the problem of inaccurate estimation of stool water content in traditional methods.

[0076] This embodiment improves the flexibility and adaptability of data collection by providing multiple urine collection methods, and can meet the actual needs of different patients. In addition, by establishing a standardized stool classification and water content calculation method, the calculation of stool water content is made more scientific and accurate, the reliability of the data is improved, and at the same time, it provides great convenience for patients or medical staff to collect stool water content data.

[0077] Reference Figure 3 As shown, in another embodiment of the present invention, obtaining the stool water content of the monitored object includes:

[0078] Receive the stool type and weight entered by the user, as well as the stool picture uploaded by the user.

[0079] The stool image is roughly identified to determine the stool reference type, and a confirmation prompt is output.

[0080] After the user confirms, the stool reference type is used as the stool water content ratio range for searching under this type. After the user denies, the stool type entered by the user is used as the stool water content ratio range for searching under this type.

[0081] The stool image is accurately identified to determine the consistency of the stool, and a specific ratio value is determined within the stool water content ratio range as the stool water content ratio according to the consistency.

[0082] The stool water content is calculated based on the stool water content ratio and weight.

[0083] This embodiment proposes a method for calculating the water content of stool that combines manual input and image recognition technology. First, the user needs to enter basic information, including stool type and weight data, through a terminal device (patient terminal 300 or medical terminal 200), and also needs to upload a picture of the stool. This dual information collection method provides more comprehensive data support for subsequent analysis.

[0084] Secondly, a two-level recognition mechanism is used to identify and process the images. The first level is rough recognition, which mainly conducts preliminary analysis of the stool image, identifies its basic morphological features, and determines a reference type based on this. The system feeds back the result of this automatic recognition to the user in the form of a confirmation prompt for the user to confirm. This human-computer interaction design not only takes advantage of computer vision, but also retains the reliability of manual judgment. When the user confirms the system recognition result, the reference type recognized by the system will be used as the basis for subsequent calculations; if the user denies the system's recognition result, the type initially entered by the user will be used as the basis for calculation. The second level is precise recognition, which will conduct a more in-depth image analysis of the stool image at this stage, focusing on the consistency of the stool. By conducting a detailed analysis of the texture, color depth, surface features, etc. in the image, the consistency of the stool can be more accurately judged. This precise consistency data will be used to determine a specific ratio value that is closest to the actual situation within the preset water content ratio range. For example, the water content of a certain type of stool may range from 50% to 80%. The system determines a more accurate ratio value within this range, such as 70%, based on the consistency obtained by precise recognition.

[0085] Finally, the final stool water content will be automatically calculated based on the determined water content ratio value and the recorded stool weight. The entire calculation process is fully automated, reducing the workload of manual calculations while improving the accuracy of the calculations.

[0086] This embodiment significantly improves the objectivity and accuracy of stool type judgment by introducing image recognition technology. Traditional methods rely entirely on the subjective judgment of medical staff, which is prone to individual differences, while image recognition technology can provide a relatively standardized basis for judgment. In addition, a two-level recognition mechanism (coarse recognition and fine recognition) is adopted to make the judgment result more accurate. Coarse recognition ensures the accuracy of basic classification, and fine recognition further refines the specific proportion of water content. This progressive recognition method improves the accuracy of the final calculation result.

[0087] In one embodiment of the present invention, the step of accurately identifying the stool image to determine the consistency of the stool, and determining a specific ratio value within the stool water content ratio range as the stool water content ratio according to the consistency of the stool includes:

[0088] Image segmentation algorithm is used to extract stool features and analyze the color, shape, and texture characteristics of stool.

[0089] Convolutional neural network is used for feature extraction and classification, and the corresponding level of stool classification scale is output.

[0090] According to the classification level, a corresponding ratio value is automatically matched within the stool water content ratio range as the stool water content ratio.

[0091] That is to say, first use the image segmentation algorithm to process the uploaded stool image. Specifically, semantic segmentation technology can be used to accurately separate the stool area from the background to ensure that subsequent analysis is only performed on the target area. After the segmentation is completed, the three key features of the stool image are analyzed: color features, by analyzing the RGB or HSV color space of the image, the color distribution characteristics of the stool are extracted, including parameters such as hue, saturation, and brightness; shape features, through edge detection and contour analysis and other technologies, the shape parameters of the stool are extracted, including edge regularity, coherence, etc.; texture features, through algorithms such as gray level co-occurrence matrix (GLCM), the texture information of the stool surface is analyzed, including roughness, regularity and other characteristics.

[0092] Next, a convolutional neural network (CNN) model is used for feature extraction and classification. The CNN model is trained with a large amount of labeled data and can automatically learn the deep features of stool images. The network structure contains multiple convolutional layers, pooling layers, and fully connected layers. The convolutional layers are responsible for extracting local features, the pooling layers perform feature dimensionality reduction and extract main features, and the fully connected layers map these features to predefined classification levels. The classification level output by the system corresponds to the standardized stool classification scale, ensuring that the classification results have clinical reference value.

[0093] Finally, based on the water content range corresponding to the stool type previously determined, according to the classification level output by the CNN model, a precise water content ratio value is automatically determined through a preset mapping rule, wherein the mapping rule is a mapping relationship between the pre-established classification level and the water content ratio. For example, if the water content range of a certain type of stool is 50%-80%, when the CNN model determines that it is in a relatively dry state of this type, the system may match a ratio value close to 50%; conversely, if it is determined to be in a relatively moist state, it may match a ratio value close to 80%.

[0094] In this embodiment, image recognition technology and deep learning technology are used, and a mapping relationship between classification level and moisture content ratio is established to achieve the determination of the final moisture content ratio from image input, which greatly improves work efficiency and improves the consistency and accuracy of the results.

[0095] In some embodiments of the invention, the implicit water loss data includes skin and breath evaporation water data:

[0096] Obtaining the hidden water loss data of the monitored object includes:

[0097] Receive body temperature data, sweat-soaked clothing type and quantity, and patient tracheal status input by the user;

[0098] The hidden water loss data is calculated based on the body temperature data, the type and amount of sweat-soaked clothing, and the patient's tracheal status according to the following calculation rules: the basic value of daily skin and respiratory evaporation is 850 ml; relative to the normal body temperature data, for every 1°C increase in body temperature, the daily water loss per kilogram of body weight will increase by 3 to 5 ml; the water loss caused by sweat soaking a shirt and pants is 1000 ml; the water loss caused by breathing in a tracheotomy patient is 2 to 3 times that of normal.

[0099] In this embodiment, the basic water loss of the human body through skin and respiratory tract evaporation is set at 850 ml per day, which is the standard value under normal physiological conditions. In addition, considering the effect of fever on water evaporation, a compensation calculation rule for body temperature changes is set. When the body temperature is higher than the normal value, for every 1°C increase in body temperature, an additional 3-5 ml of water loss will be added per kilogram of body weight per day. In addition, for the calculation of sweating, based on the quantitative standard of the degree of clothing soaking, for example, when sweat completely soaks a whole set of shirts and trousers, 1000 ml of water loss is counted. For tracheotomy patients, due to respiratory exposure, their respiratory water loss will reach 2-3 times that of normal people.

[0100] In the specific data acquisition process, the patient's basic hidden water loss of 850 ml is first obtained, and then the additional water loss caused by fever is calculated based on the real-time recorded body temperature data. For example, for a patient weighing 60 kg, if the body temperature rises by 1°C, an additional 180-300 ml of water loss is required. At the same time, the corresponding amount of sweating is accumulated based on the recorded sweat-soaked clothing. In addition, if the patient has a tracheotomy, the respiratory water loss is adjusted to 2-3 times the normal value. All these values ​​are calculated to obtain the final total amount of hidden water loss.

[0101] In this embodiment, the implicit water loss data is calculated in the above manner, and the implicit water loss that is difficult to measure directly is converted into a quantifiable calculation model, thereby improving the objectivity of the data. In addition, by considering multiple influencing factors and setting corresponding calculation parameters, the calculation results are made more accurate and comprehensive.

[0102] Reference Figure 2 As shown, in one embodiment of the present invention, obtaining the hidden water loss data of the monitored object further includes:

[0103] The daily basal values ​​for skin and respiratory evaporation are adjusted according to the patient's age and weight.

[0104] Age and weight affect the amount of daily skin and respiratory evaporation. By introducing these two key physiological parameters, age and weight, the calculation of hidden water loss is more individualized and accurate. The dynamic correction mechanism can adapt to the individual needs of different patient groups, improve the pertinence of fluid management, overcome the large errors that may be caused by traditional fixed reference values, and improve the accuracy of fluid balance assessment.

[0105] In one embodiment of the present invention, the method further comprises:

[0106] The total value of input and output is calculated in real time and compared with the set threshold.

[0107] When the total value of the inflow and outflow exceeds the set threshold, a warning prompt message is generated, and the warning message is pushed to the medical terminal 200 of the relevant medical staff.

[0108] In this embodiment, the total value of the patient's fluid intake and output in a specific time period is collected and accumulated in real time, and then the calculated total value of the intake and output is compared with the set threshold. When the total value of the intake and output exceeds the set threshold, an early warning message is automatically generated, which contains key contents such as the patient's basic information, intake and output data, and over-limit conditions, and is pushed to the medical terminal 200 and the patient terminal 300 in real time.

[0109] By establishing a real-time monitoring mechanism, the continuous dynamic management of the patient's fluid balance is ensured. Setting a reasonable threshold helps to detect abnormal fluid balance early, so that medical staff can know the patient's condition in time and take necessary intervention measures. In addition, this early warning function reduces the workload of medical staff and improves the efficiency and quality of medical care.

[0110] Reference Figure 4 As shown, the real-time monitoring and early warning system for the patient's 24-hour intake and output according to an embodiment of the present invention includes a monitoring platform 100, a medical terminal 200 and a patient terminal 300.

[0111] Specifically, the monitoring platform 100 can be deployed in a hospital and equipped with servers and data processing equipment.

[0112] The medical terminal 200 is connected to the monitoring platform 100 for communication, so that medical staff can upload at least one of intake data, input data, explicit water loss data, and implicit water loss data.

[0113] The medical terminal 200 is connected to the monitoring platform 100 for communication, so that medical staff can upload at least one of intake data, input data, explicit water loss data, and implicit water loss data.

[0114] Among them, the monitoring platform is used to generate the intake data of the monitored object according to the intake data and the input data, generate the output data of the monitored object according to the explicit water loss data and the implicit water loss data, and calculate the total intake and output of the patient for 24 hours according to the intake data and the output data, and compare the total intake and output with the set threshold value. When the total intake and output exceeds the set threshold value, an early warning prompt information is generated, and the early warning information is pushed to the medical terminal 200 and the patient terminal 300.

[0115] The real-time monitoring and early warning system for the patient's 24-hour intake and output provided by the embodiment of the present invention realizes the automatic collection and processing of the patient's 24-hour intake and output data, significantly improving the convenience and timeliness of data recording, which not only reduces the burden on medical staff and patients, but also improves the reliability of data, allowing medical staff to timely and accurately understand the patient's water, electrolyte and acid-base balance status, while also improving the patient's compliance, making the entire monitoring process more standardized and efficient.

[0116] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For device or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0117] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0118] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0119] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for real-time monitoring of a patient's 24-hour intake and output, characterized in that: include: Acquire intake data and input data of the monitored object, and generate input data of the monitored object; Obtain explicit water loss data and implicit water loss data of the monitored object, and generate output data of the monitored object; The total value of the patient's 24-hour intake and output is calculated based on the intake data and output data.

2. The method for real-time monitoring of patient's 24-hour intake and output according to claim 1, characterized in that: The intake data include food name, food intake quality or quantity, and drinking water data; The acquiring of intake data and input data of the monitored object and generating the input data of the monitored object comprises: According to the food name, food intake quality or quantity entered by the user, a common food water content table in the database is searched, and the dietary water content data is converted and calculated; According to the set time node, the dietary water content data within 24 hours is added to the drinking water data and the input data to obtain the intake data of the monitored object, and the input data includes the infusion volume and the blood transfusion volume.

3. The method for real-time monitoring of patient's 24-hour intake and output according to claim 1, characterized in that: The apparent water loss data include urine, stool water content, vomitus, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume and drainage volume; The obtaining of the apparent water loss data of the monitored object comprises: Obtain the monitored subjects' urine, stool water content, vomitus, sputum volume, hemoptysis, bleeding volume, gastrointestinal decompression volume, and drainage volume; The apparent water loss data of the monitored subject is calculated based on the urine volume, stool water content, vomitus water content, sputum volume, hemoptysis volume, bleeding volume, gastrointestinal decompression volume, and drainage volume.

4. The method for real-time monitoring of patient's 24-hour intake and output according to claim 3, characterized in that: Acquiring urine of the monitored object includes: receiving urine data obtained by measurement input by a user, or receiving urine data of a patient with an indwelling urinary catheter uploaded by a urine volume monitoring device, or receiving urine data calculated based on diaper weight input by a user; Obtaining the stool water content of the monitored object includes: receiving the stool type and weight entered by the user, and searching for the stool water content ratio according to the stool type, and then calculating the stool water content according to the stool water content ratio and weight.

5. The method for real-time monitoring of patient's 24-hour intake and output according to claim 3, characterized in that: The hidden water loss data include water loss through skin and respiratory evaporation: Obtaining the hidden water loss data of the monitored object includes: Receive body temperature data, sweat-soaked clothing type and quantity, and patient tracheal status input by the user; The hidden water loss data is calculated based on the body temperature data, the type and amount of sweat-soaked clothing, and the patient's tracheal status according to the following calculation rules: the basic value of daily skin and respiratory evaporation is 850 ml; relative to the normal body temperature data, for every 1°C increase in body temperature, the daily water loss per kilogram of body weight will increase by 3 to 5 ml; the water loss caused by sweat soaking a shirt and pants is 1000 ml; the water loss caused by breathing in a tracheotomy patient is 2 to 3 times that of normal.

6. The method for real-time monitoring of patient's 24-hour intake and output according to claim 3, characterized in that: The step of obtaining the stool water content of the monitored object comprises: Receive the stool type and weight entered by the user, as well as the stool picture uploaded by the user; Performing rough recognition on the stool image to determine the stool reference type, and outputting a confirmation prompt; After the user confirms, the stool reference type is used as the stool water content ratio range for searching under the type; after the user denies, the stool type entered by the user is used as the stool water content ratio range for searching under the type; Performing precise identification on the stool image to determine the consistency of the stool, and determining a specific ratio value within the stool water content ratio range as the stool water content ratio according to the consistency of the stool. The stool water content is calculated based on the stool water content ratio and weight.

7. The method for real-time monitoring of patient's 24-hour intake and output according to claim 6, characterized in that: The step of accurately identifying the stool image to determine the consistency of the stool, and determining a specific ratio value within the stool water content ratio range according to the consistency of the stool as the stool water content ratio includes: Use image segmentation algorithm to extract stool features and analyze stool color, shape, and texture features; Use convolutional neural networks to extract and classify features, and output the corresponding grades of the stool classification scale; According to the classification level, a corresponding ratio value is automatically matched within the stool water content ratio range as the stool water content ratio.

8. The method for real-time monitoring of patient's 24-hour intake and output according to claim 1, characterized in that: Also includes: Calculate the total value of input and output in real time, and compare the total value of input and output with the set threshold; When the total value of the inflow and outflow exceeds the set threshold, a warning prompt message is generated, and the warning message is pushed to the medical terminal of the relevant medical staff.

9. The method for real-time monitoring of patient's 24-hour intake and output according to claim 5, characterized in that: The step of obtaining the hidden water loss data of the monitored object further comprises: The basal values ​​for daily skin and respiratory evaporation are adjusted according to the patient's age and weight.

10. A 24-hour patient intake and output real-time monitoring and early warning system, characterized in that: include: Monitoring platform; A medical terminal, which is in communication with the monitoring platform and is used for medical staff to upload at least one of intake data, input data, explicit water loss data, and implicit water loss data; A patient terminal, wherein the medical terminal is in communication connection with the monitoring platform, and is used for medical staff to upload at least one of intake data, input data, explicit water loss data, and implicit water loss data; Among them, the monitoring platform is used to generate the intake data of the monitored object according to the intake data and the input data, generate the output data of the monitored object according to the explicit water loss data and the implicit water loss data, and calculate the total intake and output of the patient for 24 hours according to the intake data and the output data, and compare the total intake and output with the set threshold value. When the total intake and output exceeds the set threshold value, an early warning prompt message is generated, and the early warning message is pushed to the medical terminal and the patient terminal.

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