Electronic bedside card system based on artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence and medical equipment, in particular to an electronic bedside card system based on artificial intelligence, which is used for solving the problems that the stability and efficiency of the system are influenced and the system is influenced because the existing traditional electronic bedside card system has defects in the aspects of monitoring and message notification of a running state. The quality and the efficiency of medical services are influenced; the system comprises the following modules: an operation monitoring module, a monitoring analysis module, an analysis discrimination module, a notification management module and a ward monitoring module. The system can monitor the operation state of the electronic bedside card equipment in real time, realizes data analysis through an artificial intelligence technology, can timely discover potential problems and carry out abnormity notification, ensures stable operation of the electronic bedside card equipment, can accurately and effectively carry out message notification, and notifies related personnel in a proper manner, so that the operation efficiency of the electronic bedside card equipment is improved. And timely transmission and processing of information are ensured.

Description

Technical Field

[0001] This invention relates to the fields of artificial intelligence and medical device technology, specifically to an artificial intelligence-based electronic bedside card system. Background Technology

[0002] Rheumatology and immunology diseases are complex chronic conditions requiring long-term, continuous, and personalized management. With the rapid development of medical information technology, traditional paper bedside cards can no longer meet the dynamic information management and personalized needs of patients in rheumatology and immunology. Paper bedside cards suffer from problems such as untimely information updates, easy damage and loss, and heavy workload for medical staff. Electronic bedside card systems are a modern device for hospital ward management. Combining the Internet of Things, wireless transmission technology, and e-ink display technology, they provide medical staff and patients with real-time, dynamic, and automated information display and management solutions, greatly satisfying hospitals' requirements for "high-quality, efficient, and low-cost" bedside management. Electronic bedside card systems have become an important tool for hospital ward management.

[0003] However, traditional electronic bedside card systems have shortcomings in monitoring operational status and providing message notifications. These systems may experience instability during operation, affecting system stability and efficiency. Furthermore, they only provide basic patient information display functions and lack intelligent message notification management capabilities, impacting the quality and efficiency of medical services. Therefore, designing an electronic bedside card system capable of real-time monitoring of operational status and efficient message notification has become an urgent problem to be solved. Summary of the Invention

[0004] To overcome the aforementioned technical problems, the present invention aims to provide an artificial intelligence-based electronic bedside card system, which solves the shortcomings of existing traditional electronic bedside card systems in terms of monitoring operational status and message notification, thus affecting the stability and efficiency of the system and the quality and efficiency of medical services.

[0005] The objective of this invention can be achieved through the following technical solutions:

[0006] An AI-based electronic bedside card system includes:

[0007] The operation monitoring module is used to acquire operation monitoring information of the operation monitoring object and send the operation monitoring information to the monitoring and analysis module; the operation monitoring information includes fault data GZ, display information XS, response information XY, and usage information SY;

[0008] The monitoring and analysis module is used to obtain the operation monitoring index YX based on the operation monitoring information and send the operation monitoring index YX to the analysis and judgment module.

[0009] The analysis and judgment module is used to generate operation abnormality instructions or notification management instructions based on the operation monitoring index YX, and send the operation abnormality instructions or notification management instructions to the notification management module;

[0010] The notification management module is used to send information notifications to the terminals of administrators of the monitored objects after receiving an abnormal operation command.

[0011] As a further aspect of the present invention, the specific process by which the operation monitoring module acquires fault data GZ is as follows:

[0012] The electronic bedside card device is marked as an operation monitoring object. The total number of repairs, total number of crashes, and total number of pauses within the most recent preset time period are obtained since the operation monitoring object was put into use. These are marked as repair value XC, machine value JC, and pause value DC, respectively. The repair value XC, machine value JC, and pause value DC are quantified by multiplying each of the repair value XC, machine value JC, and pause value DC by their corresponding preset proportional coefficients to obtain the sum of the three values, which is marked as fault data GZ. The preset proportional coefficients corresponding to the repair value XC, machine value JC, and pause value DC are g1, g2, and g3, respectively, and g1, g2, and g3 satisfy g1+g2+g3=1, 1>g1>g2>g3>0. We take g1=0.45, g2=0.31, and g3=0.24.

[0013] As a further aspect of the present invention, the specific process by which the operation monitoring module acquires the display information XS is as follows:

[0014] Obtain the total number of screen jitters and the average screen distortion area of ​​the monitored object within the most recent preset time period, and mark them as jitter value DD and distortion value HP, respectively. Quantize the jitter value DD and distortion value HP by multiplying the values ​​of jitter value DD and distortion value HP by their corresponding preset proportional coefficients, and obtain the sum of the two, which is then marked as display information XS. The preset proportional coefficients corresponding to jitter value DD and distortion value HP are x1 and x2, respectively, and x1 and x2 satisfy x1 + x2 = 1, 0 < x1 < x2 < 1. Take x1 = 0.42 and x2 = 0.58.

[0015] As a further aspect of the present invention, the specific process by which the operation monitoring module acquires the response information XY is as follows:

[0016] The system acquires the time when the user clicks on the monitored object and the time when the click operation is completed, obtains the difference between the two, and marks it as the response value. It also acquires the average of all response values ​​within the most recent preset time period and marks it as the response value FY. The system acquires the time when medical staff send notification information and the time when the monitored object's screen displays the notification information, obtains the difference between the two, and marks it as the display value. It also acquires the average of all display values ​​within the most recent preset time period and marks it as the display value XS. The system quantifies the response value FY and the display value XS by multiplying their respective preset proportional coefficients, obtaining the square root of their sum, and marking it as the response information XY. The preset proportional coefficients for the response value FY and the display value XS are k1 and k2, respectively, and k1 and k2 satisfy k1 + k2 = 1, 0 < k2 < k1 < 1. We take k1 = 0.71 and k2 = 0.29.

[0017] As a further aspect of the present invention, the specific process by which the operation monitoring module obtains the usage information SY is as follows:

[0018] Obtain the total running time of the monitored object since its use and mark it as the running time value YS. Obtain the production time and current time of the monitored object, obtain the difference between the two and mark it as the production time value CS. Obtain the product of the running time value YS and the production time value CS and mark it as the usage information SY.

[0019] As a further aspect of the present invention, the specific process by which the monitoring and analysis module obtains the operational monitoring index YX is as follows:

[0020] The fault data GZ, display information XS, response information XY, and usage information SY are normalized and their values ​​are taken according to the formula.

[0021] The operation monitoring index YX is obtained and sent to the analysis and judgment module; where ω is the preset error adjustment factor, ω = 1.118, π is a mathematical constant, and α1, α2, α3 and α4 are the preset weight factors corresponding to the set fault data GZ, display information XS, response information XY and usage information SY, respectively, with values ​​of 3.29, 1.81, 2.66 and 1.32.

[0022] As a further aspect of the present invention, the specific process by which the analysis and judgment module generates the operation exception instruction or notification management instruction is as follows:

[0023] Set the operation monitoring threshold YXy, and compare the operation monitoring index YX with the operation monitoring threshold YXy. The comparison results are as follows:

[0024] If the operation monitoring index YX ≥ the operation monitoring threshold YXy, then an operation exception command is generated and sent to the notification management module;

[0025] If the operation monitoring index YX < the operation monitoring threshold YXy, a notification management instruction is generated and sent to the notification management module.

[0026] As a further aspect of the present invention: the notification management module is also used to manage the notification information after receiving the notification management instruction, generate the ward monitoring instruction, and send the ward monitoring instruction to the ward monitoring module; it is also used to perform voice broadcasting after receiving the message notification instruction.

[0027] As a further aspect of the present invention, the specific process by which the notification management module generates ward monitoring instructions is as follows:

[0028] Upon receiving a notification management instruction, the system retrieves the time when the notification information sent by medical staff was received and the current time, obtains the time difference between the two, and marks it as a communication time period. A communication time threshold is set, and the communication time period is compared with the communication time threshold. When the communication time period equals the communication time threshold, the status of the notification information within the communication time period is obtained. If the status of the notification information is unread, a ward monitoring instruction is generated and sent to the ward monitoring module. The status of the notification information includes unread and read. After the notification information is viewed, the status changes from unread to read.

[0029] As a further aspect of the present invention, the specific process of the notification management module performing voice broadcast is as follows:

[0030] Upon receiving a message notification, a voice announcement will be made stating, "New message received, please check."

[0031] The system obtains the time of the voice broadcast and the current time, calculates the time difference between them, and marks it as the broadcast time period. It sets a broadcast time threshold and compares the broadcast time period with the broadcast time threshold. When the broadcast time period equals the broadcast time threshold, it obtains the status of the notification information within the broadcast time period. If the status of the notification information is unread, it generates a ward monitoring instruction again and sends the ward monitoring instruction to the ward monitoring module until the status of the notification information is read.

[0032] As a further aspect of the present invention: the artificial intelligence-based electronic bedside card system further includes:

[0033] The ward monitoring module is used to obtain the monitoring information JT of the monitoring space after receiving the ward monitoring instruction, and send the monitoring information JT to the analysis and judgment module.

[0034] As a further aspect of the present invention, the specific process by which the ward monitoring module acquires the patient monitoring information JT is as follows:

[0035] After receiving the ward monitoring instruction, obtain the screen position of the monitored object and mark it as a reference point. Obtain the preset cuboid ward space area in front of the reference point and mark it as the monitoring space.

[0036] Set the temperature monitoring range, obtain the objects in the monitoring space whose temperature values ​​belong to the temperature monitoring range, obtain the total volume of all objects whose temperature values ​​belong to the temperature monitoring range, and mark them as monitoring object information JT;

[0037] The monitoring information JT is sent to the analysis and judgment module.

[0038] As a further aspect of the present invention: the analysis and discrimination module is also used to generate a message notification instruction based on the monitoring information JT, and send the message notification instruction to the notification management module.

[0039] As a further aspect of the present invention, the specific process by which the analysis and discrimination module generates the message notification instruction is as follows:

[0040] Set a surveillance threshold JTy, and compare the surveillance information JT with the surveillance threshold JTy. The comparison results are as follows:

[0041] If the monitored body information JT is greater than or equal to the monitored body threshold JTy, then a message notification instruction is generated and sent to the notification management module.

[0042] The beneficial effects of this invention are:

[0043] The AI-based electronic bedside card system of this invention first collects and analyzes data on the operating status of the electronic bedside card device to obtain operating monitoring information. The operating monitoring index obtained from the operating monitoring information can comprehensively measure the degree of abnormality in the operating status of the electronic bedside card device. The higher the operating monitoring index, the higher the degree of abnormality. When the degree of abnormality is high, an abnormality notification is issued. When the degree of abnormality is low, it means that the electronic bedside card device can be used normally. The notification information is managed and monitoring information is obtained. The higher the monitoring information, the more likely the message notification can be issued. When the monitoring information is low, it means that the message notification effect is poor, which may cause patients and their caregivers to not receive the message notification accurately until the status of the notification information changes from unread to read.

[0044] The AI-based electronic bedside card system of the present invention can monitor the operating status of the electronic bedside card device in real time, and use AI technology to analyze data, enabling it to promptly detect potential problems and issue abnormal notifications, ensuring the stable operation of the electronic bedside card device. It can also provide accurate and effective message notifications and notify relevant personnel in an appropriate manner, ensuring the timely transmission and processing of information. Attached Figure Description

[0045] The invention will now be further described with reference to the accompanying drawings.

[0046] Figure 1 This is a schematic diagram of the artificial intelligence-based electronic bedside card system in this invention;

[0047] Figure 2 This is a flowchart of the working method of the artificial intelligence-based electronic bedside card system in this invention. Detailed Implementation

[0048] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0049] Example 1:

[0050] Please see Figure 1 As shown, this embodiment is an artificial intelligence-based electronic bedside card system, which includes the following modules: operation monitoring module, monitoring and analysis module, analysis and judgment module, notification management module, and ward monitoring module;

[0051] The operation monitoring module is used to acquire operation monitoring information of the operation monitoring object and send the operation monitoring information to the monitoring and analysis module; wherein, the operation monitoring information includes fault data GZ, display information XS, response information XY, and usage information SY;

[0052] The monitoring and analysis module is used to obtain the operation monitoring index YX based on the operation monitoring information and send the operation monitoring index YX to the analysis and discrimination module.

[0053] The analysis and judgment module is used to generate an operation anomaly command or notification management command based on the operation monitoring index YX, and send the operation anomaly command or notification management command to the notification management module; it is also used to generate a message notification command based on the monitoring information JT, and send the message notification command to the notification management module.

[0054] The notification management module is used to notify the terminal of the administrator of the monitored object after receiving the abnormal operation instruction; to manage the notification information after receiving the notification management instruction; to generate the ward monitoring instruction; and to send the ward monitoring instruction to the ward monitoring module. It is also used to perform voice broadcasting after receiving the message notification instruction.

[0055] The ward monitoring module is used to obtain the monitoring information JT of the monitoring space after receiving the ward monitoring instruction, and send the monitoring information JT to the analysis and judgment module.

[0056] Example 2:

[0057] Please see Figure 2 As shown, this embodiment illustrates the working method of an artificial intelligence-based electronic bedside card system, including the following steps:

[0058] Step 1: The operation monitoring module obtains the operation monitoring information of the operation monitoring object, which includes fault data GZ, display information XS, response information XY, and usage information SY, and sends the operation monitoring information to the monitoring and analysis module;

[0059] Step 2: The monitoring and analysis module obtains the operation monitoring index YX based on the operation monitoring information and sends the operation monitoring index YX to the analysis and judgment module;

[0060] Step 3: The analysis and judgment module generates an operation anomaly command or notification management command based on the operation monitoring index YX, and sends the operation anomaly command or notification management command to the notification management module;

[0061] Step 4: After receiving the operation abnormality instruction, the notification management module notifies the terminal of the administrator of the operation monitoring object. After receiving the notification management instruction, the module manages the notification information, generates a ward monitoring instruction, and sends the ward monitoring instruction to the ward monitoring module.

[0062] Step 5: After receiving the ward monitoring instruction, the ward monitoring module obtains the monitoring information JT of the monitored space and sends the monitoring information JT to the analysis and judgment module;

[0063] Step Six: The analysis and judgment module generates a message notification instruction based on the monitored body information JT, and sends the message notification instruction to the notification management module;

[0064] Step 7: The notification management module will broadcast the message upon receiving the notification instruction.

[0065] Example 3:

[0066] Based on any of the above embodiments, Embodiment 3 of the present invention is a operation monitoring module. The function of the operation monitoring module is to acquire operation monitoring information, which includes fault data GZ, display information XS, response information XY, and usage information SY. The specific process is as follows:

[0067] The operation monitoring module marks the electronic bedside card device as the operation monitoring object. The operation monitoring object is installed on the upper wall above the patient's bed in the ward. When the nurse handles the admission of new patients and processes medical orders, the nurse enters the patient information into the nursing operating system at the nurse station, so that the patient information is updated to the operation monitoring object in real time. When no one touches the screen, the screen is always lit and displays the patient information. The patient information includes the patient's basic information (name, gender, age, etc.), the patient's medical staff information (doctor's name, nurse's name, etc.), hospitalization information (hospitalization time, hospital bed number, etc.), and precautions (level of nursing care, dietary precautions, prevention of falls, etc.). When someone touches the screen, the patient and the patient's caregiver can send messages to the medical staff to ask questions through the screen, and can also view the notification information sent by the medical staff through the screen.

[0068] The operation monitoring module obtains the total number of repairs, total number of crashes, and total number of pauses within the most recent preset time period since the operation monitoring object was put into use, and marks them as repair value XC, machine value JC, and pause value DC, respectively. The repair value XC, machine value JC, and pause value DC are quantified by multiplying each of the repair value XC, machine value JC, and pause value DC by their corresponding preset proportional coefficients, and the sum of the three is obtained and marked as fault data GZ. The preset proportional coefficients corresponding to the repair value XC, machine value JC, and pause value DC are g1, g2, and g3, respectively, and g1, g2, and g3 satisfy g1+g2+g3=1, 1>g1>g2>g3>0, and we take g1=0.45, g2=0.31, and g3=0.24.

[0069] The operation monitoring module obtains the total number of screen jitters and the average screen distortion area of ​​the monitored object within the most recent preset time period, and marks them as jitter value DD and distortion value HP, respectively. The jitter value DD and distortion value HP are quantified by multiplying the values ​​of jitter value DD and distortion value HP by their corresponding preset proportional coefficients, and the sum of the two is marked as display information XS. The preset proportional coefficients corresponding to jitter value DD and distortion value HP are x1 and x2, respectively, and x1 and x2 satisfy x1 + x2 = 1, 0 < x1 < x2 < 1. We take x1 = 0.42 and x2 = 0.58.

[0070] The operation monitoring module acquires the time when the user clicks on the operation monitoring object and the time when the corresponding click operation is completed, obtains the difference between the two and marks it as the response value. It also acquires the average of all response values ​​within the most recent preset time period and marks it as the reaction value FY. The module acquires the time when medical staff send notification information and the time when the notification information is displayed on the screen of the operation monitoring object, obtains the difference between the two and marks it as the display value. It also acquires the average of all display values ​​within the most recent preset time period and marks it as the display value XS. The reaction value FY and the display value XS are quantified by multiplying the values ​​of the reaction value FY and the display value XS by their corresponding preset proportional coefficients, obtaining the arithmetic square root of the sum of the two and marking it as the response information XY. The preset proportional coefficients corresponding to the reaction value FY and the display value XS are k1 and k2, respectively, and k1 and k2 satisfy k1+k2=1, 0<k2<k1<1. We take k1=0.71 and k2=0.29.

[0071] The operation monitoring module obtains the total running time of the operation monitoring object since its use and marks it as the operation time value YS. It obtains the production time and the current time of the operation monitoring object, obtains the difference between the two and marks it as the production time value CS. It obtains the product of the operation time value YS and the production time value CS and marks it as the usage information SY.

[0072] The operation monitoring module sends the fault data GZ, display information XS, response information XY, and usage information SY to the monitoring and analysis module.

[0073] Example 4:

[0074] Based on any of the above embodiments, Embodiment 4 of the present invention is a monitoring and analysis module. The function of the monitoring and analysis module is to obtain the operation monitoring index YX. The specific process is as follows:

[0075] The monitoring and analysis module normalizes the fault data GZ, display information XS, response information XY, and usage information SY, and takes their values ​​according to the formula.

[0076]

[0077] The system receives the operation monitoring index YX and sends it to the analysis and judgment module. Here, ω is the preset error adjustment factor, with ω = 1.118, π is a mathematical constant, and α1, α2, α3 and α4 are the preset weighting factors corresponding to the set fault data GZ, display information XS, response information XY and usage information SY, respectively, with values ​​of 3.29, 1.81, 2.66 and 1.32.

[0078] Example 5:

[0079] Based on any of the above embodiments, Embodiment 5 of the present invention is an analysis and discrimination module, which has two functions;

[0080] One of its functions is to generate runtime exception instructions or notification management instructions, the specific process of which is as follows:

[0081] The administrators of the monitored objects set the monitoring threshold YXy. The analysis and judgment module compares the monitoring index YX with the monitoring threshold YXy. The comparison results are as follows:

[0082] If the operation monitoring index YX ≥ the operation monitoring threshold YXy, then an operation exception command is generated and sent to the notification management module;

[0083] If the operation monitoring index YX < the operation monitoring threshold YXy, then a notification management instruction is generated and sent to the notification management module;

[0084] Its second function is to generate message notification instructions, and the specific process is as follows:

[0085] The management personnel of the monitored objects set the monitoring threshold JTy. The analysis and judgment module compares the monitoring information JT with the monitoring threshold JTy. The comparison results are as follows:

[0086] If the monitored body information JT is greater than or equal to the monitored body threshold JTy, then a message notification instruction is generated and sent to the notification management module.

[0087] Example 6:

[0088] Based on any of the above embodiments, Embodiment 6 of the present invention is a notification management module, which has two functions;

[0089] One of its functions is to generate ward monitoring instructions, the specific process of which is as follows:

[0090] After receiving an abnormal operation command, the notification management module sends an information notification to the terminal of the administrator of the monitored object, notifying the administrator to perform maintenance on the monitored object.

[0091] After receiving a notification management instruction, the notification management module obtains the time when the notification information sent by medical staff was received and the current time, calculates the time difference between the two, and marks it as a communication time period. The administrator of the monitored object sets a communication time threshold and compares the communication time period with the communication time threshold. When the communication time period equals the communication time threshold, the status of the notification information within the communication time period is obtained. If the status of the notification information is unread, a ward monitoring instruction is generated and sent to the ward monitoring module. The status of the notification information includes unread and read. After the notification information is viewed, the status changes from unread to read.

[0092] Its second function is to perform voice broadcasting, and the specific process is as follows:

[0093] After receiving a message notification command, the notification management module will broadcast a message with the message "New message received, please check";

[0094] The notification management module obtains the time of the voice broadcast and the current time, calculates the time difference between the two, and marks it as the broadcast time period. The administrator of the monitored object sets the broadcast time threshold and compares the broadcast time period with the broadcast time threshold. When the broadcast time period equals the broadcast time threshold, the status of the notification information within the broadcast time period is obtained. If the status of the notification information is unread, a ward monitoring instruction is generated again and sent to the ward monitoring module until the status of the notification information is read.

[0095] Example 7:

[0096] Based on any of the above embodiments, Embodiment 7 of the present invention is a ward monitoring module. The function of the ward monitoring module is to acquire the monitoring information JT, and the specific process is as follows:

[0097] After receiving the ward monitoring instruction, the ward monitoring module obtains the screen position of the monitored object and marks it as a reference point. It also obtains the preset cuboid ward space area in front of the reference point and marks it as the monitoring space.

[0098] The management personnel of the monitored objects set the temperature monitoring range. The ward monitoring module acquires the objects in the monitoring space whose temperature values ​​fall within the temperature monitoring range, acquires the total volume of all objects whose temperature values ​​fall within the temperature monitoring range, and marks them as monitoring information JT.

[0099] The ward monitoring module sends the monitored patient information JT to the analysis and judgment module.

[0100] Based on the above embodiments 1-7, the working principle of the present invention is as follows:

[0101] The present invention relates to an AI-based electronic bedside card system. The system acquires operational monitoring information of the monitored object through an operational monitoring module. This operational monitoring information includes fault data, display information, response information, and usage information. An operational monitoring index is obtained through a monitoring and analysis module based on this information. An analysis and judgment module generates operational anomaly commands or notification management commands based on the operational monitoring index. Upon receiving an operational anomaly command, the notification management module notifies the terminal of the administrator of the monitored object. Upon receiving a notification management command, the system manages the notification information and generates a ward monitoring command. Upon receiving a ward monitoring command, the ward monitoring module acquires the monitoring information of the monitored space. An analysis and judgment module generates a message notification command based on the monitoring information. The notification management module then broadcasts the received message notification command via voice. The system first collects and analyzes data on the operational status of the electronic bedside card device. The system acquires operational monitoring information, and the resulting operational monitoring index comprehensively measures the degree of abnormality in the electronic bedside card device's operational status. A higher operational monitoring index indicates a higher degree of abnormality. When the degree of abnormality is high, an abnormality notification is issued; when the degree of abnormality is low, it indicates that the electronic bedside card device can be used normally. Notification information is managed, and monitoring information is acquired. A higher monitoring information value indicates that message notification can be issued; a lower monitoring information value indicates poor message notification effectiveness, which may result in patients and their caregivers not accurately receiving message notifications until the notification status changes from unread to read. The system can monitor the operational status of the electronic bedside card device in real time and use artificial intelligence technology to perform data analysis, enabling it to promptly identify potential problems and issue abnormality notifications, ensuring the stable operation of the electronic bedside card device. It can also provide accurate and effective message notifications and notify relevant personnel through appropriate methods, ensuring timely information transmission and processing.

[0102] It should be further noted that the above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art based on the actual situation.

[0103] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0104] The above description is merely an example and illustration of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. An artificial intelligence-based electronic bedside card system, characterized in that, include: The operation monitoring module is used to acquire operation monitoring information of the operation monitoring object and send the operation monitoring information to the monitoring and analysis module; the operation monitoring information includes fault data GZ, display information XS, response information XY, and usage information SY; The specific process by which the operation monitoring module acquires fault data GZ is as follows: The electronic bedside card device is marked as an operation monitoring object. The total number of repairs, total number of crashes, and total number of pauses within the most recent preset time period are obtained since the operation monitoring object was used. These are marked as repair value XC, machine value JC, and pause value DC, respectively. The repair value XC, machine value JC, and pause value DC are quantified to obtain fault data GZ. The specific process by which the operation monitoring module acquires the display information XS is as follows: Obtain the total number of screen jitters and the average screen distortion area of ​​the monitored object within the most recent preset time period, and mark them as jitter value DD and distortion value HP respectively. Quantize the jitter value DD and distortion value HP to obtain display information XS. The specific process by which the operation monitoring module obtains response information XY is as follows: The system obtains the time when the user clicks on the monitored object and the time when the click operation is completed, calculates the difference between the two and marks it as the response value. It also obtains the average of all response values ​​within the most recent preset time period and marks it as the response value FY. The system obtains the time when medical staff send notification information and the time when the monitored object's screen displays notification information, calculates the difference between the two and marks it as the display value. It also obtains the average of all display values ​​within the most recent preset time period and marks it as the display value XS. The system then quantifies the response value FY and the display value XS to obtain the response information XY. The specific process by which the operation monitoring module obtains the usage information SY is as follows: Obtain the total running time of the monitored object since its use and mark it as the running time value YS. Obtain the production time and current time of the monitored object, obtain the difference between the two and mark it as the production time value CS. Obtain the product of the running time value YS and the production time value CS and mark it as the usage information SY. The monitoring and analysis module is used to obtain the operation monitoring index YX based on the operation monitoring information and send the operation monitoring index YX to the analysis and judgment module. The analysis and judgment module is used to generate operation abnormality instructions or notification management instructions based on the operation monitoring index YX, and send the operation abnormality instructions or notification management instructions to the notification management module; The notification management module is used to send information notifications to the terminals of administrators of the monitored objects after receiving an abnormal operation command.

2. The artificial intelligence-based electronic bedside card system according to claim 1, characterized in that, The specific process by which the monitoring and analysis module obtains the operational monitoring index YX is as follows: The fault data GZ, display information XS, response information XY, and usage information SY are normalized and their values ​​are taken according to the formula. The operation monitoring index YX is obtained and sent to the analysis and judgment module; where ω is the preset error adjustment factor, π is a mathematical constant, and α1, α2, α3 and α4 are the preset weight factors corresponding to the set fault data GZ, display information XS, response information XY and usage information SY, respectively.

3. The artificial intelligence-based electronic bedside card system according to claim 1, characterized in that, The specific process by which the analysis and judgment module generates runtime exception instructions or notification management instructions is as follows: Set the operation monitoring threshold YXy, and compare the operation monitoring index YX with the operation monitoring threshold YXy. The comparison results are as follows: If the operation monitoring index YX ≥ the operation monitoring threshold YXy, then an operation exception command is generated and sent to the notification management module; If the operation monitoring index YX < the operation monitoring threshold YXy, a notification management instruction is generated and sent to the notification management module.

4. The artificial intelligence-based electronic bedside card system according to claim 1, characterized in that, The notification management module is also used to manage notification information after receiving notification management instructions, generate ward monitoring instructions, and send ward monitoring instructions to the ward monitoring module; it is also used to perform voice broadcasting after receiving message notification instructions.

5. The artificial intelligence-based electronic bedside card system according to claim 4, characterized in that, The specific process by which the notification management module generates ward monitoring instructions is as follows: Upon receiving the notification management instruction, the system obtains the time when the notification information sent by the medical staff was received and the current time, calculates the time difference between the two, marks it as a communication time period, sets a communication time threshold, and compares the communication time period with the communication time threshold. When the communication time period equals the communication time threshold, the system obtains the status of the notification information within the communication time period. If the status of the notification information is unread, a ward monitoring instruction is generated and sent to the ward monitoring module.

6. The artificial intelligence-based electronic bedside card system according to claim 4, characterized in that, The specific process of the notification management module performing voice broadcast is as follows: Upon receiving a message notification instruction, it will broadcast the message via voice. The system obtains the time of the voice broadcast and the current time, calculates the time difference between them, and marks it as the broadcast time period. It sets a broadcast time threshold and compares the broadcast time period with the broadcast time threshold. When the broadcast time period equals the broadcast time threshold, it obtains the status of the notification information within the broadcast time period. If the status of the notification information is unread, it generates a ward monitoring instruction again and sends the ward monitoring instruction to the ward monitoring module until the status of the notification information is read.

7. The artificial intelligence-based electronic bedside card system according to claim 1, characterized in that, Also includes: The ward monitoring module is used to obtain the monitoring information JT of the monitoring space after receiving the ward monitoring instruction, and send the monitoring information JT to the analysis and judgment module.

8. The artificial intelligence-based electronic bedside card system according to claim 7, characterized in that, The specific process by which the ward monitoring module acquires the patient information JT is as follows: After receiving the ward monitoring instruction, obtain the screen position of the monitored object and mark it as a reference point. Obtain the preset cuboid ward space area in front of the reference point and mark it as the monitoring space. Set the temperature monitoring range, obtain the objects in the monitoring space whose temperature values ​​belong to the temperature monitoring range, obtain the total volume of all objects whose temperature values ​​belong to the temperature monitoring range, and mark them as monitoring object information JT; The monitoring information JT is sent to the analysis and judgment module.

9. The artificial intelligence-based electronic bedside card system according to claim 1, characterized in that, The analysis and discrimination module is also used to generate a message notification instruction based on the monitoring information JT, and send the message notification instruction to the notification management module.

10. The artificial intelligence-based electronic bedside card system according to claim 9, characterized in that, The specific process by which the analysis and discrimination module generates message notification instructions is as follows: Set a surveillance threshold JTy, and compare the surveillance information JT with the surveillance threshold JTy. The comparison results are as follows: If the monitored body information JT is greater than or equal to the monitored body threshold JTy, then a message notification instruction is generated and sent to the notification management module.

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