A smart water inflow and outflow management tool

Abstract

This invention discloses an intelligent fluid intake and output management tool, relating to the field of medical device technology. The platform includes: a fluid intake and output measurement module for real-time collection of patient intake and output data; a data transmission module for transmitting the intake and output data to a mobile management terminal; a fluid intake and output conversion module for acquiring intake and output fluid data; and a data entry module for recording the intake and output fluid data and generating a fluid intake and output report. This invention solves the technical problem of inaccurate patient fluid intake and output records in clinical nursing due to subjective confusion in measurement methods and duplicate or missed recordings. It achieves the technical effect of improving the accuracy and convenience of recording, reducing human error, and ensuring the quality of basic nursing care by automatically converting fluid data and generating standardized fluid intake and output reports.

Description

Technical Field

[0001] This application relates to the field of medical device technology, specifically to an intelligent water inflow and outflow management tool. Background Technology

[0002] In clinical nursing, the monitoring and recording of fluid intake and output is a crucial aspect of nursing work, possessing high scientific value and importance. Accurate fluid intake and output records not only help healthcare professionals comprehensively understand the patient's physical condition, assist in diagnosis and treatment planning, but also serve as a standard for measuring the quality of basic nursing care. However, existing methods for recording fluid intake and output mostly rely on subjective measurement, and patient and family compliance is low, easily leading to inaccurate, incomplete, incorrect, or omitted records. Furthermore, the measuring tools used lack standardized specifications; containers often have unclear or no graduations, resulting in reliance on subjective estimations of intake and output. Consequently, the recorded data deviates significantly from the actual data, affecting the quality of nursing care and the accuracy of diagnosis. Therefore, there is an urgent clinical need for a convenient, accurate, and highly compliant intelligent fluid intake and output management tool to ensure the objectivity and scientific rigor of patient fluid intake and output records, improve nursing quality, simplify nursing workflows, and save manpower. Summary of the Invention

[0003] This application provides an intelligent fluid intake and output management tool, which solves the technical problem of inaccurate patient fluid intake and output records in clinical nursing caused by subjective confusion in measurement methods and double or missed recording. It achieves the technical effect of improving the accuracy and convenience of recording by automatically converting fluid data and generating standardized fluid intake and output reports, reducing human error, and ensuring the quality of basic nursing care.

[0004] This application provides an intelligent fluid intake and output management tool, comprising: a fluid intake and output measurement module, which collects patient intake and output data in real time; a data transmission module, which transmits the intake and output data to a mobile management terminal; a fluid intake and output conversion module, which converts the intake and output data to obtain fluid intake data and fluid output data respectively; and a data entry module, which records the fluid intake and output data to generate a fluid intake and output report.

[0005] This application proposes an intelligent fluid intake and output management tool to collect patients' fluid intake and output data in real time. The data is then transmitted to a mobile management terminal, which converts the data to obtain fluid intake and output data. A data entry module records the fluid intake and output data, generating a fluid intake and output report. This solution addresses the technical problem of inaccurate fluid intake and output records in clinical nursing due to subjective errors in measurement methods, as well as duplicate or missed recordings. By automatically converting fluid data and generating standardized fluid intake and output reports, the tool improves the accuracy and convenience of recording, reduces human error, ensures the quality of basic nursing care, and provides accurate data for patient treatment. Attached Figure Description

[0006] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments of this disclosure will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the platform according to the embodiments of this application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0007] Figure 1 This is a schematic diagram of the structure of an intelligent water inflow and outflow management tool provided in an embodiment of this application;

[0008] Figure 2 This is a schematic diagram illustrating the execution process of inflow data collection in an intelligent inflow and outflow water management tool provided in an embodiment of this application.

[0009] Figure labeling: 1. Inlet / outlet water volume metering module; 2. Data transmission module; 3. Inlet / outlet water volume conversion module; 4. Data entry module. Detailed Implementation

[0010] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0011] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0012] In the following description, references to "some embodiments" describe a subset of all possible embodiments. However, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "first" and "second" are used merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to these processes, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0013] This application provides an intelligent water inflow and outflow management tool, such as... Figure 1 As shown, the tool includes:

[0014] The inflow and outflow water metering module collects the patient's inflow and outflow data in real time.

[0015] In one embodiment, the fluid intake and output measurement module collects real-time data on the amount of fluid ingested (e.g., drinking water, medication) and excreted (e.g., urine, vomit) during patient care or treatment. This data collection method, using devices such as scales and cameras, automatically records each fluid intake and output, eliminating the need for manual recording or patient self-reporting. This process ensures data accuracy and real-time performance, helping healthcare professionals monitor the patient's fluid balance at all times.

[0016] Furthermore, such as Figure 2 As shown, this application provides input data, including:

[0017] The water intake and output measurement module includes an inlet water volume measuring scale, an outlet water volume measuring scale, and a camera; it collects intake data from the patient using the inlet water volume measuring scale to obtain ingested weight data, and collects ingested images from the patient using the camera to obtain ingested image data; the ingested weight data and the ingested image data are output as intake data.

[0018] Preferably, the fluid intake and output measurement module includes an intake scale, an output scale, and a camera. In operation, when a patient ingests fluids, the intake scale accurately measures the weight of the fluid, acquiring real-time weight data. Simultaneously, the camera integrated into the patient's app, with patient authorization, activates and captures the type of food and container consumed, obtaining image data to record the intake behavior and verify measurement accuracy. Finally, the ingested weight data and corresponding image data are integrated and output as intake data, providing comprehensive and accurate information on the patient's fluid intake, ensuring the records reflect reality, and providing reliable support for subsequent analysis and nursing care.

[0019] Furthermore, this application provides output data, including:

[0020] The patient's excretion data is collected using the water output meter, and the excretion weight data is obtained. The patient's excrement is also captured by the camera to obtain excretion image data. The excretion weight data and the excretion image data are then output as output data.

[0021] Optionally, a volumetric scale is used to accurately measure the weight of excrement during patient elimination. When a patient eliminates, the collected excrement is placed on the volumetric scale, which acquires and records the weight data in real time. Simultaneously, a camera is activated to capture images of the excrement, obtaining image data. This image data is used to verify the state of the excrement, providing visual validation and support for the measurement. The entire process aims to ensure the accuracy and traceability of the elimination data. Finally, the collected weight data and corresponding image data are integrated to output volumetric data. This integration provides comprehensive elimination information, helping healthcare professionals to conduct more accurate patient fluid balance analysis and make better care decisions.

[0022] The data transmission module transmits the input and output data to the mobile management terminal.

[0023] In one embodiment, after acquiring the input and output data in the data transmission module, the module connects to the mobile management terminal via a reserved interface and sends the data to the mobile management terminal. This transmission process typically utilizes communication technologies such as wireless networks or Bluetooth to ensure that the data is transmitted to the management terminal quickly and securely. Upon receiving this data, the mobile management terminal can display and store the input and output data in real time, allowing medical staff to view and analyze it at any time, thereby improving nursing efficiency.

[0024] The inflow / outflow water conversion module, which is embedded in the mobile management terminal, converts the inflow data and the outflow data respectively to obtain inflow liquid data and outflow liquid data.

[0025] In one embodiment, within the mobile management terminal's built-in fluid conversion module, after receiving inflow and outflow data, the terminal transmits this data to the module for processing and conversion. The module converts inflow data (such as weight ingested) into standardized inflow fluid data (such as specific fluid volume or water content) according to preset calculation rules. Similarly, outflow data (such as the weight of excrement) undergoes similar processing and is converted into outflow fluid data. This conversion process standardizes the raw data, facilitating unified data management and analysis. This step ensures the accuracy and consistency of various fluid data, providing healthcare professionals with more reliable reference information and thus helping to make more scientific care decisions.

[0026] Furthermore, this application provides that the inflow / outflow water conversion module includes an inflow water conversion module, comprising:

[0027] The water intake conversion module includes an intake water content comparison table, which stores preset intake categories and preset water content ratios. The water intake conversion module performs visual verification based on the intake image data to obtain visual verification data. It then converts the intake weight data and the visual verification data according to the intake water content comparison table to obtain the fluid intake data.

[0028] Optionally, the water intake / output conversion module includes an intake conversion module with a built-in water content comparison table. This table stores various preset intake categories and their corresponding water content ratios. For example, the water content ratio is 100%, the water content ratio of thin porridge is 80%, the water content ratio of fruit juice is 90%, and the water content ratio of milk is 87%. When the intake / output conversion module receives intake image data, it analyzes the intake image data using integrated image recognition technologies (such as CNN, YOLO, MobileNet, etc.) to identify the type of food ingested by the patient, container characteristics, and its state (whether it is empty), and then generates visual verification data based on the recognition results. For example, when the fluid intake conversion module receives ingestion image data, it analyzes the image using the integrated YOLO algorithm to identify that the patient has ingested a glass of juice and determines the amount of liquid remaining in the container. If the identification result indicates that the juice intake ratio is not 100% complete, it corrects the ingestion weight data using the intake ratio, generating visual verification data. This visual verification data includes information such as the type of ingested substance being juice and the weight needing adjustment. Subsequently, the fluid intake conversion module combines the ingested weight data with the visual verification data and, referring to the corresponding water content ratio in the water content comparison table, performs data conversion. The final fluid intake data is calculated using the formula: Fluid Intake Data = Ingested Weight Data × Water Content Ratio. After conversion, the fluid intake data is stored and transmitted to the system application, displayed in the user interface for medical staff to reference and record. This ensures the accuracy and standardization of intake data, contributing to the effective conduct of nursing care.

[0029] Furthermore, this application provides that the inflow / outflow water conversion module includes an outflow water conversion module, comprising:

[0030] The water output conversion module includes a discharge water content comparison table, which stores preset discharge categories and preset densities. The water output conversion module performs visual verification based on the discharge image data to obtain visual verification data. It also converts the discharge weight data and the visual verification data according to the discharge water content comparison table to obtain the output liquid data.

[0031] Optionally, the inflow / outflow water conversion module also includes an outflow water conversion module. This module has a built-in excretion water content comparison table, which stores different excretion categories and their corresponding preset densities. For example, the density of urine is 1 g / mL, the density of loose stool is 1.03 g / mL, and the density of concentrated stool is 1.1 g / mL. When the outflow water conversion module receives excretion image data, it analyzes the excretion image data using integrated image recognition technology to identify the type and characteristics of the excrement and generate visual verification data to ensure the accuracy of the identification. After acquiring the visual verification data, the outflow water conversion module combines the excretion weight data and the preset density in the excretion water content comparison table to perform data conversion. Specifically, if the density of the excrement is 1.03 g / mL, the excretion weight data (in grams) is divided by this density value to obtain the outflow liquid data. The conversion formula is: Outflow liquid data = Excretion weight data (g) / 1.03 g / mL. This process ensures the scientific conversion of excretion data, enabling the output fluid volume data to reflect the actual situation and provide medical staff with accurate care and data recording.

[0032] The data entry module records the inflow and outflow liquid data and generates an inflow / outflow water volume report.

[0033] In one embodiment, after acquiring fluid intake and output data in the data entry module, this data is automatically recorded and organized. Each collected data point is timestamped and stored in the patient's personal database to ensure data integrity and traceability. Subsequently, all recorded data is summarized and analyzed to generate a detailed fluid intake and output report. This report includes the patient's total intake and output data within a specified time period, as well as detailed records of each data collection, such as date, time, specific fluid type, and corresponding volume. This fluid intake and output report helps healthcare professionals quickly understand the patient's fluid balance, providing a reliable basis for diagnostic and treatment decisions. The report can also be displayed or exported on a mobile management terminal for healthcare professionals to view and archive.

[0034] Furthermore, this application provides that the tool also includes an equilibrium prediction model, comprising:

[0035] The equilibrium prediction model is trained using multiple training datasets, including historical fluid intake and output data samples for each patient, as well as identification information indicating the degree of equilibrium. The equilibrium prediction model is used to predict the equilibrium of the fluid intake and output data to obtain a fluid balance index. This fluid balance index measures the current balance of fluid intake and output for the patient. If the fluid balance index is lower than a preset warning level, an abnormality alert signal is generated and sent to the mobile management terminal for notification.

[0036] Preferably, the fluid intake and output management tool also includes a fluid balance prediction model, which is trained using multiple training datasets. These training datasets contain historical fluid intake and output data samples from different patient groups, along with identification information to indicate the fluid balance status of patients. Using a Long Short-Term Memory (LSTM) network model as an example, the LSTM model is chosen to capture the temporal dependencies in the intake and output data. The LSTM model consists of an input layer, LSTM hidden layers, fully connected layers, and an output layer. The model receives processed time-series data as input; the LSTM layers extract the temporal features of the data, and the output layer generates predictions of fluid balance indicators. During training, the model is forward-propagated with batches of training data. The LSTM layers capture the long and short-term patterns of the input data through their memory units and gating mechanisms, and the output layer provides a prediction of the fluid balance indicator for each input sequence. Mean squared error (MSE) is used as the loss function to calculate the difference between the predicted and actual label values. The model calculates the gradient using the backpropagation algorithm and updates the model's weights using the Adam optimizer to continuously optimize prediction accuracy. At the end of each epoch, the model is evaluated on a validation set to monitor its performance on unseen data. If the validation set loss does not significantly improve within several epochs, an early stopping strategy is applied to prevent overfitting. After model training, it is deployed to a fluid management tool that receives real-time fluid intake and output data for prediction and to obtain the current fluid balance index. If this balance index falls below a preset warning value, an abnormality alert signal is generated and sent to a mobile management terminal, reminding medical staff to take necessary intervention measures to ensure that the patient's fluid intake and output remain within a safe range.

[0037] Furthermore, this application provides that the tool also includes a voice input module, comprising:

[0038] The voice input module records the patient's voice input and output data in real time; and updates the input and output data based on the voice input and output data.

[0039] Preferably, the fluid intake and output management tool also includes a voice input module to support voice input functionality, facilitating real-time entry of fluid intake and output data by patients or healthcare professionals. The voice input module uses built-in speech recognition technology (such as Google Speech-to-Text, IBM Watson Speech to Text, etc.) to collect real-time voice input from patients or healthcare professionals, including specific information describing intake and output. The module first records the voice input, then uses speech recognition technology to convert the voice signal into text data, and extracts numerical information related to fluid intake and output from this text data. Based on the intake and output data extracted from the voice input, it compares and updates the existing intake and output data. If new data is detected, the corresponding intake or output data is automatically updated according to the content of the voice input to ensure timeliness and accuracy of recording. In this way, the voice input module not only improves the convenience of data entry but also reduces the time and error risk of manual input. Finally, this updated data is stored for subsequent fluid intake and output management and report generation, further optimizing nursing processes and data management.

[0040] Furthermore, this application provides that the data entry module further includes a data verification module, comprising:

[0041] The influent and effluent liquid data are recorded and identified. The data verification module performs data redundancy verification based on the record identification. If the verification passes, an influent / effluent water volume report is generated based on the record identification. If the verification fails, the influent and effluent liquid data are recorded, identified, and organized.

[0042] Preferably, the data entry module also includes a data verification module to ensure the accuracy and uniqueness of the recorded data. After converting and recording the influent and effluent liquid data, the data verification module identifies these data for subsequent verification and management. The data verification module performs data redundancy checks on the stored influent and effluent liquid data based on the record identifiers, ensuring that each data entry is unique and does not generate unnecessary redundant information in the dataset. Specifically, the data verification module scans the recorded influent and effluent liquid data, checks the content of each data entry one by one according to the record identifier, and compares the fields of adjacent or related records, such as timestamps, data sources, and data values, to identify potential redundancies. It then compares the current data with historical records. If data content appears repeatedly in multiple records without a clear purpose or necessity, it will be marked as redundant. For example, two data entries with the same timestamp and almost identical values ​​are considered redundant. For data marked as redundant, the module performs data cleanup according to a preset strategy, such as retaining the latest data version and deleting other redundant items. If the data verification passes, the data verification module will generate a complete fluid intake and output report based on the record identifier, containing detailed information and timestamps for each intake and output, for reference and use by medical staff. If the verification fails, the data verification module will reorganize and re-identify the fluid intake and output data, deleting duplicate records or redundant data to ensure the integrity and accuracy of the dataset. This process aims to improve the reliability of data management, ensure the accuracy of fluid intake and output reports, thereby helping medical staff obtain high-quality patient fluid balance information and improving the efficiency and accuracy of data processing in nursing work.

[0043] An intelligent fluid intake and output management tool according to an embodiment of the present invention solves the technical problem of inaccurate patient fluid intake and output records in clinical nursing due to subjective confusion in measurement methods and duplicate or missed recordings. It achieves improved accuracy and convenience of recording by automatically converting fluid data and generating standardized fluid intake and output reports, reducing human error and ensuring the quality of basic nursing care. The intelligent fluid intake and output management tool includes: a fluid intake and output measurement module, a data transmission module, a fluid intake and output conversion module, and a data entry module.

[0044] Although this application makes various references to certain modules in the platform according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not used to limit the scope of protection of this invention.

[0045] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An intelligent water inflow and outflow management tool, characterized in that, The tools include: The inflow and outflow water measurement module collects the patient's inflow and outflow data in real time. The data transmission module transmits the input and output data to the mobile management terminal. The inflow / outflow conversion module, which is embedded in the mobile management terminal, converts the inflow data and the outflow data respectively to obtain inflow liquid data and outflow liquid data. The data entry module records the inflow and outflow liquid data and generates an inflow / outflow water volume report. The inflow and outflow water metering module includes an inflow water metering scale, an outflow water metering scale, and a camera; The patient's intake data is collected using the water intake meter, and the intake weight data is obtained. The patient's intake image data is also collected using the camera. The intake weight data and the intake image data are output as intake data; The patient's excretion data is collected using the water output meter, and the excretion weight data is obtained. The patient's excretion image data is also collected using the camera. The excretion weight data and the excretion image data are output as output data; The inflow / outflow water conversion module includes an inflow water conversion module, comprising: The water intake conversion module includes an intake water content comparison table, which stores preset intake categories and preset water content ratios. The water inflow conversion module performs visual verification based on the ingested image data and obtains visual verification data. The intake weight data and the visual verification data are converted according to the intake water content comparison table to obtain the intake liquid data; The inflow / outflow water conversion module includes an outflow water conversion module, comprising: The water output conversion module includes a discharge water content comparison table, which stores preset discharge categories and preset densities. The water output conversion module performs visual verification based on the discharge image data and obtains visual verification data. The excretion weight data and the visual verification data are converted according to the excretion moisture content comparison table to obtain the excretion liquid data; During data conversion, the ingestion conversion module needs to identify the type of ingested food, container characteristics, and state from the ingestion image data, generate visual verification data, and perform conversion by combining the ingestion weight data and visual verification data. The outflow conversion module needs to identify the type and characteristics of excrement from the excretion image data, generate visual verification data, and perform conversion by combining the excretion weight data and visual verification data.

2. The intelligent water inflow and outflow management tool as described in claim 1, characterized in that, The tools also include equilibrium prediction models. include: The equilibrium prediction model is obtained by training multiple sets of training datasets, which include historical fluid intake data samples and historical fluid output data samples corresponding to each sample patient, as well as identification information indicating the degree of equilibrium. The fluid intake and output data are balanced and predicted using the aforementioned balanced prediction model to obtain a fluid balance index, which measures the current degree of fluid balance in the patient. If the liquid balance index is lower than the preset warning value, an abnormality alert signal is generated and sent to the mobile management terminal for notification.

3. The intelligent water inflow and outflow management tool as described in claim 1, characterized in that, The tool also includes a voice input module, comprising: The patient's voice input and output data are recorded in real time using the voice input module. The input and output data are updated based on the input and output voice data.

4. The intelligent water inflow and outflow management tool as described in claim 1, characterized in that, The data entry module also includes a data verification module, comprising: The inflow and outflow liquid data are recorded and identified. The data verification module performs data redundancy verification based on the record identification. If the verification passes, an inflow / outflow water report is generated based on the record identification. If the test fails, the influent liquid data and the outfluent liquid data are recorded, identified, and organized.

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