Intelligent nursing equipment and intelligent nursing prompting system

Abstract

The embodiment of the invention discloses intelligent nursing equipment and an intelligent nursing prompting system, relates to the technical field of intelligent medical treatment, and is used for solving the problem that the pressure of nursing personnel is too high due to lack of nursing prompting at present. The device comprises a gravity sensor and an image acquisition device, wherein the gravity sensor and the image acquisition device are used for acquiring to-be-analyzed data of an ostomy bag so as to transmit the to-be-analyzed data to a server based on a user controller; the server is used for calling corresponding ostomy bag information based on user information corresponding to the user controller, and determining the nursing state of the ostomy bag according to the ostomy bag information and the to-be-analyzed data; the method comprises the following steps: if an ostomy bag is in a cleaning state or a replacement state, acquiring recent nursing data corresponding to each medical nursing device and a nursing plan corresponding to user information, so as to determine a linkage medical nursing device associated with the ostomy bag according to the recent nursing data and the nursing plan; a nursing prompt is generated based on the nursing state of the ostomy bag and the information of the linkage medical nursing equipment for timely reminding.

Description

Technical Field

[0001] The present invention relates to the field of intelligent medical technology, and in particular to an intelligent nursing device and an intelligent nursing prompt system. Background Art

[0002] An ostomy bag is a medical device used to collect human excrement. It is usually used to collect excrement from the intestines, bladder, stomach and other organs to help patients excrete and maintain life activities. It collects secretions or excrement into the bag by placing an acceptable bag or device at an opening on the body surface, thereby avoiding direct contact of excrement with the skin and reducing the risk of infection and contamination. For bedridden patients, timely care of the ostomy bag is a necessary step to promote the patient's recovery in order to ensure the patient's cleanliness and hygiene and prevent complications.

[0003] However, the current care for ostomy bags mainly relies on regular observation by nursing staff, who can determine the status of the ostomy bag, such as whether it is leaking or full, and manually record relevant data. However, manual observation and recording consume a lot of time and energy. For departments with a large number of patients, the nursing pressure of nursing staff is relatively high. For the self-care method of patients' families, due to the lack of prompts, it is difficult to grasp the nursing time in the case of insufficient experience, which can easily lead to untimely and incomplete cleaning of patients. Summary of the invention

[0004] In order to solve the above technical problems, one or more embodiments of this specification provide an intelligent nursing device and an intelligent nursing reminder system.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of the present specification provide an intelligent nursing device, the device comprising: an ostomy bag, a gravity sensor and an image acquisition device disposed outside the ostomy bag, a user-end controller communicatively connected to the gravity sensor and the image acquisition device, a medical nursing device communicatively connected to the user controller, and a server communicatively connected to the user-end controller;

[0007] Wherein, the gravity sensor and the image acquisition device are used to collect the data to be analyzed of the ostomy bag, so as to transmit the data to be analyzed to the server based on the user controller;

[0008] The server is used to call the corresponding ostomy bag information based on the user information corresponding to the user controller, and determine the nursing status of the ostomy bag according to the ostomy bag information and the data to be analyzed; wherein; the nursing status is: maintenance status, cleaning status, replacement status;

[0009] If the ostomy bag is in a cleaning state or a replacement state, the recent nursing data corresponding to each of the medical care devices and the nursing plan corresponding to the user information are obtained, and the linked medical care device associated with the ostomy bag is determined according to the recent nursing data and the nursing plan;

[0010] Nursing prompts are generated based on the nursing status of the ostomy bag and the information of the linked medical nursing equipment to provide prompts for nursing work.

[0011] Optionally, in one or more embodiments of the present specification, the ostomy bag is further provided with an upper opening and a bottom opening; wherein the upper opening is provided with an adjustable sealing opening, and the bottom opening is provided with a stool bag.

[0012] Optionally, in one or more embodiments of the present specification, based on the user information corresponding to the user controller, calling the corresponding ostomy bag information, and determining the nursing status of the ostomy bag according to the ostomy bag information and the data to be analyzed, specifically includes:

[0013] The server calls corresponding stoma bag information based on the user information corresponding to the user controller; wherein the stoma bag information includes: stoma shape, stoma restriction conditions, and historical analysis data;

[0014] The server determines whether the ostomy bag is leaking according to the historical analysis data and the first data to be analyzed uploaded by the image acquisition device, and determines the current volume of the ostomy bag according to the historical analysis data and the second data to be analyzed collected by the gravity sensor;

[0015] If the server determines that the ostomy bag is leaking or the current time corresponds to the preset replacement time, then determining that the care state of the ostomy bag is a replacement state;

[0016] If the server determines that the current volume is greater than the preset volume, it determines that the care state of the ostomy bag is a cleaning state.

[0017] Optionally, in one or more embodiments of the present specification, the acquiring of the recent nursing data corresponding to each of the medical nursing devices and the nursing plan corresponding to the user information, and determining the linked medical nursing device associated with the ostomy bag according to the recent nursing data and the nursing plan, specifically includes:

[0018] Acquire the recent nursing data corresponding to each of the medical nursing devices and the nursing plan corresponding to the user information;

[0019] Determine a planned nursing time period and a planned nursing process for each of the medical nursing devices based on the nursing plan, so as to determine a first correlation value according to a matching relationship between the planned nursing time period and the current time;

[0020] A second association value is determined based on cross-data of recent care data of the medical care device and historical analysis data of the ostomy bag, so as to screen a linked medical care device associated with the ostomy bag based on the first association value and the second association value.

[0021] Optionally, in one or more embodiments of the present specification, the device further comprises: a nursing terminal communicatively connected to the server, for receiving nursing prompts generated by the server, so as to perform nursing work in a timely manner;

[0022] Preferably, after determining the linked medical care device associated with the ostomy bag according to the recent care data and the care plan, the server is further used to:

[0023] Determine a planned nursing program corresponding to the nursing state of the ostomy bag and a historical nursing program corresponding to the nursing state of the ostomy bag; wherein the planned nursing program includes: a fixed nursing module and an adjustable nursing module;

[0024] Determining a change trend of the adjustable care module according to the planned care plan and the historical care plan, so as to determine a plurality of ostomy bag care plans corresponding to the care state of the ostomy bag based on the change trend;

[0025] Randomly combining the nursing plan and the ostomy bag nursing plan to determine a plurality of feasible nursing plans after the combination;

[0026] The key nursing indicators included in each of the feasible nursing plans are determined so that the key nursing indicators are sent to the nursing terminal for reference.

[0027] Optionally, in one or more embodiments of this specification, the server is further used to:

[0028] Acquire the nursing tasks to be executed of each of the nursing terminals and the execution status of each of the nursing tasks to be executed;

[0029] Determining the task load of each of the nursing terminals according to the nursing tasks to be performed and the execution status of each of the nursing tasks to be performed;

[0030] Based on the task load, the care prompt is sent to a designated care terminal.

[0031] Optionally, in one or more embodiments of this specification,

[0032] After determining the linked medical care device associated with the ostomy bag according to the recent care data and the care plan, the server is further used to:

[0033] If it is determined that there is no linked medical care equipment associated with the ostomy bag according to the recent care data and the care plan, then based on the recent care data, the type of care terminal that can perform care operations is determined; wherein the type of care terminal includes: caregiver type, family member type;

[0034] If the nursing terminal type includes the family type, determining the sending address corresponding to the nursing terminal of the family type;

[0035] Based on the care status of the ostomy bag, it is determined to generate a care prompt for the ostomy bag, so as to send the care prompt to the family-type care terminal based on the sending address.

[0036] One or more embodiments of this specification provide an intelligent nursing reminder system, which is applied to the above-mentioned intelligent nursing equipment, and the system includes:

[0037] A data acquisition module, used for acquiring the data to be analyzed of the ostomy bag acquired by the gravity sensor and the image acquisition device;

[0038] A state determination module is used to call the corresponding ostomy bag information based on the user information corresponding to the user controller, and determine the nursing state of the ostomy bag according to the ostomy bag information and the data to be analyzed; wherein; the nursing state is: maintenance state, cleaning state, replacement state;

[0039] a device determination module, for obtaining the recent nursing data corresponding to each of the medical care devices and the nursing plan corresponding to the user information if the ostomy bag is in a cleaning state or a replacement state, and determining the linked medical care device associated with the ostomy bag according to the recent nursing data and the nursing plan;

[0040] The nursing prompt module is used to generate nursing prompts based on the nursing status of the ostomy bag and the information of the linked medical nursing equipment to provide prompts for nursing work.

[0041] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0042] The gravity sensor and image acquisition device collect the data to be analyzed of the ostomy bag in real time, and the data to be analyzed of the weight change and appearance change can be obtained in time. The nursing status of the ostomy bag can be determined by processing the data to be analyzed based on the server. By determining the nursing status, the information of the nursing prompt is refined, which helps to solve the problem that the accompanying family members lack professional knowledge of nursing and find it difficult to grasp whether the ostomy bag needs to be replaced or cleaned after hearing the alarm of the nursing prompt, thereby alleviating the nursing pressure of professional nursing staff. In addition, by determining the linkage medical nursing equipment associated with the ostomy bag, it helps to facilitate the centralized processing of nursing work by nursing staff and reduce the manpower cost consumed by nursing staff repeatedly going back and forth to the ward. Timely warning for nursing staff alleviates the problem that nursing staff find it difficult to obtain the patient's ostomy bag situation in real time due to the high nursing work and pressure, and then find it difficult to accurately determine whether the ostomy bag needs to be replaced or cleaned. Nursing prompts help improve the timeliness of nursing staff's ostomy bag care. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0044] Figure 1 A schematic diagram of an intelligent nursing device provided in an embodiment of this specification;

[0045] Figure 2 A schematic diagram of the analysis logic of the nursing status of an ostomy bag in an application scenario provided in an embodiment of this specification;

[0046] Figure 3 A schematic diagram of the structure of an intelligent nursing reminder system provided in an embodiment of this specification. DETAILED DESCRIPTION

[0047] The embodiments of this specification provide an intelligent nursing device and an intelligent nursing prompt system.

[0048] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0049] Since the replacement of ostomy bags is a manual process, family members or professional caregivers are required to clean or replace the patient's ostomy bag in a timely manner to ensure that the patient's stoma and surrounding skin are clean and dry. However, for departments with a large number of patients, the nursing work and pressure of nursing staff are high, and it is difficult to obtain the patient's ostomy bag status in real time, and it is difficult to accurately determine when the ostomy bag needs to be replaced or cleaned. For accompanying family members, due to lack of experience, it is difficult to grasp the status of replacement or cleaning, and it is difficult to determine the time of care, resulting in low effectiveness of care. Therefore, in order to solve this technical problem, such as Figure 1 As shown, in one or more embodiments of the present specification, a smart nursing device is provided to prompt professional nursing staff or accompanying family members to perform stoma bag care and maintenance. Specifically, Figure 1 As shown, the intelligent nursing device includes: an ostomy bag, a gravity sensor and an image acquisition device arranged outside the ostomy bag, a user-end controller connected to the gravity sensor and the image acquisition device, a medical nursing device connected to the user controller, and a server connected to the user-end controller, and a nursing terminal connected to the server.

[0050] Specifically, the gravity sensor and image acquisition device of the intelligent nursing device are used to collect the data to be analyzed of the ostomy bag, so as to transmit the data to be analyzed to the server based on the user controller. The gravity sensor and image acquisition device collect the data to be analyzed of the ostomy bag in real time, and the data of weight change and appearance change can be obtained in time, so as to help detect the nursing status of the ostomy bag. In one embodiment, if the data to be analyzed collected by the gravity sensor or the image acquisition device reaches the preset threshold for cleaning or replacement, the nursing prompt can be triggered immediately, so as to ensure that the nursing work is carried out in time.

[0051] When determining whether the ostomy bag needs to be cleaned or replaced, the use time of the ostomy bag usually depends on its type and brand. The ostomy bag itself can be disassembled and cleaned for reuse, but if the color changes or leakage occurs, the ostomy bag needs to be replaced in time. Therefore, for ostomy bag care, factors such as the appearance of the ostomy bag, the use time, and individual differences of patients should be comprehensively considered. However, the general method of nursing reminder alarm based on the sensor device and the preset threshold is that for the accompanying family members, due to their lack of professional knowledge of nursing, it is difficult to grasp whether the ostomy bag needs to be replaced or cleaned after hearing the nursing reminder alarm, which will affect the subsequent nursing efficiency and nursing effect. Therefore, in order to further refine the information of the nursing reminder, the server facilitates the auxiliary nursing staff to quickly determine the targeted nursing method and relieve the nursing pressure of the professional nursing staff. After the gravity sensor and the image acquisition device are used to collect the data to be analyzed of the ostomy bag and transmit it to the server, the server in the embodiment of this specification can call the corresponding ostomy bag information according to the user information corresponding to the user controller, so as to determine the nursing state of the ostomy bag according to the ostomy bag information and the data to be analyzed; it can be understood that the nursing state is: maintenance state, cleaning state, and replacement state. It should also be noted that the stoma bag information includes: stoma shape, stoma restrictions, and historical analysis data. The stoma shape is because different surgical methods may lead to differences in stoma shape. For example, in a colostomy, depending on the surgical site, the stoma may be opened on the left side of the abdomen, and the shape is mostly round or oval. In the small intestine stoma, especially the terminal ileostomy, it is usually located in the right lower abdomen, and the shape may vary due to surgical operations and the natural morphology of the intestine; and the stoma restrictions include, for example: stoma bag volume, replacement time data, and historical analysis data reflects the user's recent care data for the stoma bag, which helps to take into account the individual differences of patients. Among them, it should also be noted that the recent care data is the recent care data of the patient's stoma bag, and the recent period can be a self-set time period within one or two days.

[0052] Then, when the server user determines that the ostomy bag is in the cleaning state or the replacement state, in order to save the nursing staff unnecessary round trips, the server user will simultaneously remind the patient of other nursing tasks that need to be performed at the same time, such as the suction operation of the sputum suction device or the multi-functional nursing bed. Therefore, the server user will obtain the recent nursing data corresponding to each medical care device and the nursing plan corresponding to the user information, and then determine the linked medical care device associated with the ostomy bag based on the recent nursing data and the nursing plan, so as to facilitate the centralized care of the nursing staff.

[0053] The nursing terminal is used to receive the nursing prompts generated by the server according to the nursing status of the stoma bag and the information of the linked medical nursing equipment, so as to prompt the nursing staff to perform nursing work in time. Timely warning for nursing staff is achieved, avoiding the high nursing work and pressure of nursing staff, and it is difficult to obtain the patient's stoma bag status in real time, and then it is difficult to accurately determine whether the stoma bag needs to be replaced or cleaned. For accompanying family members, due to lack of experience, it is difficult to grasp the status of replacement or cleaning, and it is difficult to determine the time of nursing.

[0054] Further, in order to solve the problem that the one-piece ostomy bag cannot provide the patient with cleaning during use, the patient's buttocks skin is still in pollutants most of the time, which greatly increases the incidence of incontinence dermatitis. In a feasible embodiment of this specification, the ostomy bag is also provided with an upper opening, and an adjustable sealing port is provided at the upper opening of the ostomy bag, so that warm water can be poured from the upper opening when the patient has a stool, the inside of the ostomy bag is cleaned, and the skin at the patient's stoma is kept clean, and this adjustable sealing port is both a cleaning port and a vent, so it also helps to keep the skin at the stoma dry. In addition, in order to solve the problem that the one-piece ostomy bag has a small capacity at present, most patients have a large amount of stool, which is thin and the number of times is large, and it needs to be cleaned repeatedly. If it is not handled well, it may need to be replaced back and forth and contaminate the bed unit, and it may also increase the problem of bacterial infection of the patient, in a feasible embodiment of this specification, the ostomy bag is also provided with a bottom opening, and the bottom opening is provided with a stool bag, which is convenient for collecting and cleaning excrement, thereby greatly reducing the incidence of infection in the patient and reducing clinical nursing work.

[0055] Further, in a feasible embodiment of the present specification, the server calls the corresponding ostomy bag information based on the user information corresponding to the user controller, and determines the nursing status of the ostomy bag according to the ostomy bag information and the data to be analyzed, such as Figure 2 The specific process shown includes the following:

[0056] Since the ostomy bag needs to be replaced when it leaks, and the excrement in the ostomy bag needs to be cleaned in time when the excrement exceeds the preset volume, in order to identify the care state required for the ostomy bag, that is, whether it needs to be cleaned, replaced, or not, in the embodiment of this specification, the server first calls the corresponding ostomy bag information based on the user information corresponding to the user controller; wherein the ostomy bag information includes: stoma shape, stoma restriction conditions, and historical analysis data. Then the server can compare and determine whether the ostomy bag has leaked based on the historical analysis data and the first data to be analyzed uploaded by the image acquisition device, and in order to achieve the effect of regular cleaning, it will also compare the historical analysis data with the second data to be analyzed collected by the gravity sensor, so as to determine the current volume of the ostomy bag. That is to say, by combining the gravity sensor with the image acquisition device to collect the data to be analyzed, it can be determined in time that the care state of the ostomy bag is the replacement state when it is determined that the ostomy bag is leaking or the current time corresponds to the preset replacement time. Similarly, when the current volume is greater than the preset volume and there is no leakage, it can be determined that the care state of the ostomy bag is the cleaning state. In addition, if the current volume is less than the preset volume and is not at the preset replacement time, it can be determined that the nursing status of the ostomy bag is maintained, that is, no nursing operation is required. Based on this process, timely leakage detection and volume monitoring can help to remind the nursing process in time, thereby preventing complications such as skin infection and stoma stenosis caused by improper use of ostomy bags. It also helps to remind regular replacement and cleaning of ostomy bags, keep the area around the stoma clean and dry, and reduce the risk of infection. At the same time, subsequent nursing reminders based on accurate judgment of nursing status can reduce unnecessary replacement and cleaning times, and reduce the burden and discomfort of patients.

[0057] In a feasible embodiment, when the server determines whether the ostomy bag is leaking according to the historical analysis data and the first data to be analyzed uploaded by the image acquisition device, and determines the current volume of the ostomy bag according to the historical analysis data and the second data to be analyzed collected by the gravity sensor, the server may be implemented based on the following process:

[0058] The server determines the historical leakage area of ​​the ostomy bag based on the historical analysis data, and obtains the first data to be analyzed uploaded based on the image acquisition device, so as to determine whether to divide the first data to be analyzed into regions according to the differential image between the historical leakage area and the first data to be analyzed, so as to obtain the suspected leakage area. Then the server processes the first data to be analyzed corresponding to the suspected leakage area based on the preset saliency detection method, obtains the leakage contour of the ostomy bag, and extracts the edge contour of the ostomy bag in the suspected leakage area based on the image features of the ostomy bag. In this process, the use of the differential image for judgment can accurately identify the area that has changed in the current image compared with the historical leakage area, thereby effectively narrowing the scope of the suspected leakage area, and the method of analyzing and processing based on the image data avoids possible delays and omissions in manual detection. In addition, the server uses a preset saliency detection method and an image feature extraction algorithm to intelligently analyze the image data and extract key leakage information and edge contours. Then the server inputs the leakage contour and the edge contour into a preset recognition network to determine whether the ostomy bag is leaking, wherein it should be noted that the preset recognition network is a YOLOv8 network. At the same time, the server will obtain the second data to be analyzed of the ostomy bag determined after the gravity sensor monitors the gravity of the ostomy bag, and determine the current volume of the ostomy bag based on the second analysis data and the current density; wherein, it can be understood that the current density can be obtained by matching the first data to be analyzed with the historical analysis data.

[0059] Further, in a feasible embodiment of the present specification, the server processes the first data to be analyzed corresponding to the suspected leakage area based on a preset significance detection method to obtain the leakage contour of the ostomy bag, and extracts the edge contour of the ostomy bag in the suspected leakage area based on the image features of the ostomy bag, specifically through the following process:

[0060] First, the first data to be analyzed corresponding to the suspected leakage area is preprocessed to obtain enhanced image data. Through preprocessing steps, such as denoising, contrast enhancement, etc., the image quality can be significantly improved, and clearer and more accurate input data can be provided for subsequent processing steps. This helps to reduce errors in subsequent processing and improve the accuracy and stability of the overall algorithm. Then the enhanced image data is converted to the frequency domain based on the two-dimensional discrete Fourier transform to obtain the amplitude spectrum corresponding to the enhanced image data, and the amplitude spectrum is processed based on the logarithmic transformation to obtain the logarithmic amplitude spectrum. Among them, the logarithmic transformation is a nonlinear transformation, which is often used to adjust the contrast of the image, making the darker area brighter while maintaining the details of the brighter area. Here, the contrast of the image is enhanced based on the logarithmic transformation, making the leakage area more prominent. Then, in order to reduce noise interference and improve the smoothness of the image, the logarithmic amplitude spectrum will be processed based on the preset average filter to obtain the average amplitude spectrum, and the difference between the logarithmic amplitude spectrum and the average logarithmic amplitude spectrum is calculated and determined, so as to determine the penetration image of the suspected leakage area according to the difference result. That is to say, by calculating the difference between the logarithmic amplitude spectrum and the average logarithmic amplitude spectrum, the difference between the leakage area and the surrounding background can be highlighted, so as to more accurately identify the leakage and obtain the leakage image. Then, the infiltration image is convolved by multiple convolution templates corresponding to the preset multi-directional edge detection operator to obtain the leakage outline of the ostomy bag. Then, the image features of the enhanced image data are obtained to identify the image features based on the clustering algorithm to determine the edge outline of the ostomy bag in the suspected leakage area; it should be noted that the image features include: color features and brightness features.

[0061] Further, in a feasible embodiment of the present specification, the server may specifically include the following process for preprocessing the first to-be-analyzed data corresponding to the suspected leakage area to obtain enhanced image data:

[0062] In order to eliminate the brightness or contrast changes caused by the difference in acquisition conditions between different graphics, the embodiment of this specification performs normalization and standardization on the first data to be analyzed corresponding to the suspected leakage area. Specifically, the pixel value or signal intensity of the first data to be analyzed corresponding to the suspected leakage area is scaled to a specified range (such as 0 to 1 or -1 to 1). Then the mean of the data is adjusted to 0 and the standard deviation is adjusted to 1. This is achieved by subtracting the mean of the entire image from each pixel value and then dividing it by the standard deviation. The image data of the suspected leakage area is obtained through the above processing, and the image data is filtered based on the preset bilateral filter to obtain denoised image data. By using a bilateral filter for filtering, the edge features of the leakage area can be retained while smoothing the image data, thereby avoiding blurring the leakage details. Then the denoised ultrasound sequence image is subjected to a discrete wavelet transform to obtain multiple image information of the denoised image data, and the image information is secondary decomposed based on the preset low-pass and high-pass filters to obtain image information components. The denoised image data is decomposed into image information in multiple frequency ranges. This helps to identify and analyze different features in the image. After performing secondary decomposition on the image information after discrete wavelet transform, low-frequency and high-frequency information are extracted respectively. Then, through low-pass and high-pass filters, specific frequency information in the image can be more targeted, such as the edges and details of the leakage area. The image contrast value corresponding to each frequency range is determined, and then the adaptive enhancement function of each denoised image in each frequency range is determined according to the image contrast value and the preset contrast threshold, so as to process the image information component based on the adaptive enhancement function to obtain the enhanced image information component. Then, the enhanced image information component is subjected to inverse discrete wavelet transform to obtain the enhanced image data of the denoised image data. It can be understood that by determining the adaptive enhancement function based on the image contrast value and the preset contrast threshold, the image information of different frequencies can be enhanced in a targeted manner. Based on the above process, the detail information in the image can be better retained, while the overall contrast is improved, making the leakage area more prominent.

[0063] In a feasible embodiment, obtaining the recent nursing data corresponding to each medical care device and the nursing plan corresponding to the user information, so as to determine the linked medical care device associated with the ostomy bag according to the recent nursing data and the nursing plan, specifically includes the following process:

[0064] The server obtains the recent nursing data corresponding to the medical care device and the nursing plan corresponding to the user information based on the user controller. Then, based on the nursing plan, the planned nursing time period and the planned nursing process of each medical care device are determined, so as to determine the first association value according to the matching relationship between the planned nursing time period and the current time. At the same time, according to the cross data of the recent nursing data of the medical care device and the historical analysis data of the ostomy bag, the second association value is determined, so as to screen the linkage medical care device associated with the ostomy bag according to the first association value and the second association value. By comparing the planned nursing time period with the current time, the medical care device that is currently or will be used can be quickly screened out. By using the cross data of the recent nursing data of the medical care device and the historical analysis data of the ostomy bag, the equipment closely related to the use of the ostomy bag can be accurately found, which helps to help the nursing staff determine the equipment or nursing operations that can be performed at the same time. In addition, since the process takes into account the matching relationship between the current time and the planned nursing time period, the selection of linkage equipment can be dynamically updated as the patient's condition changes and the nursing plan is adjusted, taking into account customized nursing. By quickly screening out the equipment that is currently needed, it can ensure that the patient receives timely care and attention, while reducing the nursing pressure of the nursing staff and avoiding the ineffective round trip of the nursing staff.

[0065] Among them, in a feasible embodiment, the server determines the second association value according to the cross data of the recent nursing data of the medical care device and the historical analysis data of the ostomy bag, so as to screen the linkage medical care device associated with the ostomy bag according to the first association value and the second association value, which can be achieved by the following process: first, the recent nursing data of the medical care device and the historical analysis data of the ostomy bag are analyzed by cluster analysis. Cluster analysis can automatically identify the patterns and structures in the data, classify similar data points into the same cluster, and help to deeply explore the potential association between the medical care device and the ostomy bag. Therefore, according to the cluster corresponding to the recent nursing data and the historical classification data, the cross data of the medical care device and the ostomy bag are determined, so as to determine the second association value according to the proportion of the cross data and the recent nursing data. It can be understood that the more cross data there are, the higher the correlation between the two, and the higher the second association value. Therefore, if it is determined that the first association value is greater than the preset association value or the second association value is greater than the preset association value, then it can be determined that the medical care device is a linkage medical care device associated with the ostomy bag. By screening out the linked medical care devices associated with ostomy bags, these devices can be given synchronized care prompts in the future, thereby improving the care efficiency and quality of care staff.

[0066] For example, assuming that a variety of medical care devices with synchronous nursing prompts in a certain scenario include but are not limited to infusion pumps, suction pumps, wound negative pressure drainage devices, etc., the historical data of medical care devices and ostomy bags can be cleaned and standardized to ensure the quality and consistency of the data. Then, in order to measure the similarity between data points, a suitable distance function, such as Euclidean distance or Manhattan distance, can be defined. Use a clustering algorithm to perform cluster analysis on the data of medical care devices and ostomy bags, so that according to the clustering results, find the cross data of medical care devices and ostomy bags in the same cluster cluster, and for each cross data point, calculate its proportion in recent nursing data. Therefore, according to the proportion of the cross data, calculate the second correlation value. The higher the second correlation value, the higher the correlation between the medical care device and the ostomy bag. Then, for the selected linked medical care devices, the hospital can provide synchronous nursing prompts in follow-up care to ensure that nursing staff can provide nursing services in a timely manner and improve the efficiency and quality of nursing.

[0067] In a feasible embodiment, in the above embodiment, after determining the linked medical care device associated with the ostomy bag according to the recent care data and the care plan, the server is further used to:

[0068] Determine the planned nursing plan corresponding to the nursing state of the ostomy bag and the historical nursing plan corresponding to the nursing state of the ostomy bag; wherein the planned nursing plan includes: a fixed nursing module and an adjustable nursing module. Determine the change trend of the adjustable nursing module according to the planned nursing plan and the historical nursing plan, so as to determine multiple ostomy bag nursing plans corresponding to the nursing state of the ostomy bag based on the change trend. Then randomly combine the nursing plan and the ostomy bag nursing plan to determine multiple feasible nursing plans after the combination. Further determine the key nursing indicators contained in each feasible nursing plan so that the key nursing indicators can be sent to the nursing terminal for reference. The planned nursing plan includes a fixed nursing module and an adjustable nursing module, and this design makes the nursing plan have certain flexibility and adaptability. According to the comparison between the historical nursing plan and the planned nursing plan, the change trend of the adjustable nursing module can be predicted and adjusted, so as to facilitate the selection of a nursing plan that is more in line with the patient's current condition. By randomly combining the nursing plan and the ostomy bag nursing plan, multiple feasible nursing plans can be generated. This method not only broadens the range of nursing options, but also helps to determine the best or most appropriate nursing plan through comparison and screening, and then determine the key nursing indicators included in each feasible nursing plan, which is an important step to ensure the effectiveness of nursing. By sharing these key indicators to the nursing terminal, they can be used as a reference for nursing staff when performing nursing tasks, which helps nursing staff improve the accuracy and effectiveness of nursing.

[0069] Specifically, after the above-mentioned key care indicators are determined in a certain application scenario, based on user needs, the server can also send the multi-level key care indicators to the preset expert terminal to receive the comparison results of the adjacent indicators in the multi-level key care indicators by each preset expert terminal. Then the comparison results corresponding to the same multi-level key care indicator are summarized to average the comparison results to obtain the processed comparison results. According to the processed comparison results, a fuzzy judgment matrix corresponding to the feasible care plan is constructed. Based on the fuzzy judgment matrix and the preset weight values ​​of the levels corresponding to each multi-level key care indicator, the comprehensive evaluation value of each multi-level key care indicator is determined. The comprehensive evaluation values ​​of each multi-level key care indicator and each feasible care plan belong to the preset multi-attribute analysis model to determine the optimal feasible care plan based on the multi-attribute analysis model.

[0070] This process comprehensively considers multi-level key nursing indicators. By summarizing the comparison results corresponding to the same multi-level key nursing indicators and averaging them, a more objective and scientific comparison result can be obtained. This method avoids the influence of the subjective judgment of a single expert and improves the reliability and stability of the evaluation results. The introduction of the fuzzy judgment matrix can handle the ambiguity and uncertainty in the nursing indicators and improve the accuracy and scientificity of the evaluation. The above process allows the weight values ​​of the multi-level key nursing indicators to be adjusted according to actual needs, so that the evaluation results are more in line with the actual situation. At the same time, the comprehensive evaluation value is incorporated into the multi-attribute analysis model, which can comprehensively consider multiple factors to determine the optimal feasible nursing plan, so as to provide auxiliary reference for nursing staff in the future.

[0071] In a medical care environment, different nursing terminals may face different workloads. In traditional ways, nursing tasks are often randomly assigned, resulting in a pile of tasks on some nursing terminals while others are relatively idle. This unreasonable allocation of nursing tasks will directly affect the efficiency of nursing work. Nursing staff will be overwhelmed by the pressure of handling too many tasks, and too scattered or repeated task allocation will lead to a waste of nursing resources, such as multiple trips between different wards, which increases unnecessary time and labor costs. Therefore, in a feasible embodiment, the server is also used to:

[0072] Obtain the nursing tasks to be performed of each of the nursing terminals and the execution status of each nursing task to be performed. Thus, according to the nursing tasks to be performed and the execution status of each nursing task to be performed, determine the task load of each nursing terminal, and then send the nursing prompt to the designated nursing terminal based on the task load. That is, by real-time monitoring of the task load of each nursing terminal, the server can dynamically adjust the allocation of nursing tasks to ensure that resources are reasonably used, which helps to reduce task accumulation and idleness and improve overall work efficiency. And reasonable task allocation can reduce the pressure of nursing staff, allowing them to focus more on patient care, thereby helping to improve nursing quality and patient satisfaction.

[0073] In the above embodiment, the nursing prompt is sent to the designated nursing terminal based on the task load. In order to further relieve the nursing pressure of professional nursing staff, in a feasible embodiment, after determining the linked medical nursing equipment associated with the ostomy bag according to the recent nursing data and the nursing plan, the server is further used to:

[0074] If it is determined that there is no linkage medical care equipment associated with the ostomy bag based on the recent care data and the care plan, then the type of care terminal that can perform care operations is determined based on the recent care data; wherein, it should be noted that the care terminal type includes: professional caregiver type and family type. If it is determined that the care terminal type includes the family type, then the sending address corresponding to the care terminal of the family type is determined, so as to determine the generation of care prompts for the ostomy bag based on the care status of the ostomy bag, so as to send the care prompts to the care terminal of the family type based on the sending address. For professional caregivers, this process helps to reduce their workload. When the system can automatically determine and assign care tasks to the appropriate family type of care terminals, caregivers can focus on more complex medical tasks, thereby improving overall care efficiency and quality. This process achieves optimal configuration of care resources through intelligent analysis and allocation of care tasks. That is, by identifying which tasks can be completed by family members and which require the intervention of professional caregivers, waste of resources and duplication of work are avoided, and by sending care prompts to appropriate care terminals in a timely and accurate manner, timely and effective care is ensured for patients.

[0075] like Figure 3 As shown, a schematic diagram of an intelligent nursing reminder system is provided in one or more embodiments of the present specification. Figure 3 It can be seen that the intelligent nursing prompt system is applied to the above-mentioned intelligent nursing equipment, and the system includes:

[0076] A data acquisition module 301 is used to acquire the data to be analyzed of the ostomy bag acquired by the gravity sensor and the image acquisition device;

[0077] The state determination module 302 is used to call the corresponding ostomy bag information based on the user information corresponding to the user controller, and determine the nursing state of the ostomy bag according to the ostomy bag information and the data to be analyzed; wherein the nursing state is: maintenance state, cleaning state, and replacement state;

[0078] The device determination module 303 is used for obtaining the recent nursing data corresponding to each of the medical care devices and the nursing plan corresponding to the user information if the ostomy bag is in a cleaning state or a replacement state, so as to determine the linked medical care device associated with the ostomy bag according to the recent nursing data and the nursing plan;

[0079] The nursing prompt module 304 is used to receive the nursing prompt generated by the server so as to perform nursing work in a timely manner; wherein the nursing prompt is generated by the server based on the nursing status of the ostomy bag and the information of the linked medical care equipment.

[0080] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0081] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0082] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. An intelligent nursing device, characterized in that: The device comprises: an ostomy bag, a gravity sensor and an image acquisition device arranged outside the ostomy bag, a user-end controller communicatively connected to the gravity sensor and the image acquisition device, a medical care device communicatively connected to the user controller, and a server communicatively connected to the user-end controller; Wherein, the gravity sensor and the image acquisition device are used to collect the data to be analyzed of the ostomy bag, so as to transmit the data to be analyzed to the server based on the user controller; The server is used to call the corresponding ostomy bag information based on the user information corresponding to the user controller, and determine the nursing status of the ostomy bag according to the ostomy bag information and the data to be analyzed; wherein; the nursing status is: maintenance status, cleaning status, replacement status; If the ostomy bag is in a cleaning state or a replacement state, the recent nursing data corresponding to each of the medical care devices and the nursing plan corresponding to the user information are obtained, and the linked medical care device associated with the ostomy bag is determined according to the recent nursing data and the nursing plan; Nursing prompts are generated based on the nursing status of the ostomy bag and the information of the linked medical nursing equipment to provide prompts for nursing work.

2. The intelligent nursing device according to claim 1, characterized in that: The ostomy bag is also provided with an upper opening and a bottom opening; wherein the upper opening is provided with an adjustable sealing opening, and the bottom opening is provided with a stool bag.

3. The intelligent nursing device according to claim 1, characterized in that: Based on the user information corresponding to the user controller, the corresponding ostomy bag information is called, and the nursing status of the ostomy bag is determined according to the ostomy bag information and the data to be analyzed, specifically including: The server calls corresponding stoma bag information based on the user information corresponding to the user controller; wherein the stoma bag information includes: stoma shape, stoma restriction conditions, and historical analysis data; The server determines whether the ostomy bag is leaking according to the historical analysis data and the first data to be analyzed uploaded by the image acquisition device, and determines the current volume of the ostomy bag according to the historical analysis data and the second data to be analyzed collected by the gravity sensor; If the server determines that the ostomy bag is leaking or the current time corresponds to the preset replacement time, then determining that the care state of the ostomy bag is a replacement state; If the server determines that the current volume is greater than the preset volume, it determines that the care state of the ostomy bag is a cleaning state.

4. The intelligent nursing device according to claim 1, characterized in that: The obtaining of the recent nursing data corresponding to each of the medical nursing devices and the nursing plan corresponding to the user information, and determining the linked medical nursing device associated with the ostomy bag according to the recent nursing data and the nursing plan, specifically includes: Acquire the recent nursing data corresponding to each of the medical nursing devices and the nursing plan corresponding to the user information; Determine a planned nursing time period and a planned nursing process for each of the medical nursing devices based on the nursing plan, so as to determine a first correlation value according to a matching relationship between the planned nursing time period and the current time; A second association value is determined based on cross-data of recent care data of the medical care device and historical analysis data of the ostomy bag, so as to screen a linked medical care device associated with the ostomy bag based on the first association value and the second association value.

5. The intelligent nursing device according to claim 1, characterized in that: The device further comprises: a nursing terminal in communication connection with the server, for receiving nursing prompts generated by the server so as to perform nursing work in a timely manner; Preferably, after determining the linked medical care device associated with the ostomy bag according to the recent care data and the care plan, the server is further used to: Determine a planned nursing program corresponding to the nursing state of the ostomy bag and a historical nursing program corresponding to the nursing state of the ostomy bag; wherein the planned nursing program includes: a fixed nursing module and an adjustable nursing module; Determining a change trend of the adjustable care module according to the planned care plan and the historical care plan, so as to determine a plurality of ostomy bag care plans corresponding to the care state of the ostomy bag based on the change trend; Randomly combining the nursing plan and the ostomy bag nursing plan to determine a plurality of feasible nursing plans after the combination; The key nursing indicators included in each of the feasible nursing plans are determined so that the key nursing indicators are sent to the nursing terminal for reference.

6. The intelligent nursing device according to claim 5, characterized in that: The server is also used to: Acquire the nursing tasks to be executed of each of the nursing terminals and the execution status of each of the nursing tasks to be executed; Determining the task load of each of the nursing terminals according to the nursing tasks to be performed and the execution status of each of the nursing tasks to be performed; Based on the task load, the care prompt is sent to a designated care terminal.

7. The intelligent nursing device according to claim 5, characterized in that: After determining the linked medical care device associated with the ostomy bag according to the recent care data and the care plan, the server is further used to: If it is determined that there is no linked medical care equipment associated with the ostomy bag according to the recent care data and the care plan, then based on the recent care data, the type of care terminal that can perform care operations is determined; wherein the type of care terminal includes: caregiver type, family member type; If the nursing terminal type includes the family type, determining the sending address corresponding to the nursing terminal of the family type; Based on the care status of the ostomy bag, it is determined to generate a care prompt for the ostomy bag, so as to send the care prompt to the family-type care terminal based on the sending address.

8. An intelligent nursing reminder system, applied to the intelligent nursing device according to claims 1-7, characterized in that: The system comprises: A data acquisition module, used for acquiring the data to be analyzed of the ostomy bag acquired by the gravity sensor and the image acquisition device; A state determination module is used to call the corresponding ostomy bag information based on the user information corresponding to the user controller, and determine the nursing state of the ostomy bag according to the ostomy bag information and the data to be analyzed; wherein; the nursing state is: maintenance state, cleaning state, replacement state; a device determination module, for obtaining the recent nursing data corresponding to each of the medical care devices and the nursing plan corresponding to the user information if the ostomy bag is in a cleaning state or a replacement state, and determining the linked medical care device associated with the ostomy bag according to the recent nursing data and the nursing plan; The nursing prompt module is used to generate nursing prompts based on the nursing status of the ostomy bag and the information of the linked medical nursing equipment to provide prompts for nursing work.

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