Medical monitoring method and system based on Internet of Things information processing

Abstract

The invention discloses a medical monitoring method and system based on internet-of-things information processing, and the method comprises the steps: monitoring the transfused time and / or transfused dose of a current transfused medicine corresponding to a monitoring terminal in an infusion process through the monitoring terminal, and returning a monitoring result to a server side in real time; the server side extracts patient information according to the received monitoring result, and determines corresponding dressing change time according to the standard infusion time and / or the standard infusion dosage of the current infusion medicine in the infusion program corresponding to the patient information to obtain a dressing change time sequence; according to the first dressing change time in the dressing change time sequence, the server side calculates the journey time required by the medical care terminal to move to the monitoring terminal corresponding to the first dressing change time through the real-time position information and the medical care information of the medical care terminal; and according to the first dressing change time and the journey time, the sending time for sending a dressing change prompt to the medical terminal is calculated, so that the current infusion medicine corresponding to the first dressing change time is just completely infused when the medical terminal arrives.

Description

Technical Field

[0001] This application relates to the technical field of data processing, and particularly relates to a medical monitoring method and system based on Internet of Things information processing. Background Art

[0002] Infusion, as an effective disease treatment method, is widely used in medical scenarios such as hospitals, community clinics, and health centers. When a patient is receiving an infusion, a patient usually needs to be injected with at least two bags or bottles of medicine. Usually, a medical staff member needs to take care of multiple patients. In the high-incidence season of diseases in autumn and winter, several medical staff members even need to take care of dozens or even hundreds of patients, which poses challenges to the medical staff for changing the infusion medicine.

[0003] Currently, in most medical scenarios, the infusion process is still manually monitored by the patient's escort, and when the medicine needs to be changed, the escort manually finds the medical staff to give a reminder. The efficiency of this medicine change reminder method is not high. At the same time, when a patient has a medicine with special usage, for example, it is necessary to flush the tube for 5 minutes after the first bag of medicine for infusion and then change to the next infusion medicine, the escort needs to remind the medical staff to change the medicine many times, which not only wastes manpower, but also during the process of the patient waiting for the medical staff to change the medicine, there may even be a situation where the medicine drips out and the infusion device needs to be turned off and continue waiting, which also brings inconvenience to the patient, making the patient unable to change the medicine in time and prolonging the infusion time. In some other scenarios, the medical staff makes manual rounds of the patients receiving infusions to find the patients who need to change the medicine in the infusion room, which also increases the work pressure of the medical staff.

[0004] With the continuous progress of science and technology, in order to solve this drawback, some infusion rooms have adopted infusion monitoring devices or methods, which use technologies such as image acquisition and gravity detection to judge whether the infusion medicine of the patient needs to be changed, and give a reminder to the medical staff when it needs to be changed. However, the following problems also exist in this process:

[0005] 1) In the current dressing change reminder scheme, most of the concerns are on the monitoring of infusion drugs. That is, it determines or monitors when the infusion drug needs a dressing change and sends a dressing change reminder to medical staff when it is needed. The dynamics of medical staff after receiving the dressing change reminder are ignored in these schemes. For example, the state of medical staff when receiving the reminder, such as their location status, is not considered. Some medical staff arrive at the dressing change location quickly after receiving the reminder. At this time, there may be a situation where there is still a small amount of the patient's infusion drug remaining, which will result in insufficient intravenous injection dosage for the patient and may affect the treatment effect of the disease. And some medical staff may need to wait for a period of time to arrive at the dressing change location due to reasons such as being far away. At this time, there may be a drawback that the patient has finished the infusion but the dressing change cannot be carried out, making the function of sending the dressing change reminder ineffective. That is, in the current dressing change reminder schemes, most do not consider the situation after the reminder is sent, or do not take medical staff into account during the process of sending the reminder, so that even if the dressing change reminder is sent in advance, it cannot ensure that the patient can be timely dressed or the infusion can be ended when the infusion is finished. This is also one of the reasons why the current dressing change reminder schemes have not been widely applied. At the same time, most of the current dressing change reminder schemes use data processing technologies or models, etc., resulting in a relatively high implementation cost of the scheme.

[0006] 2) Technologies such as image processing and gravity detection are used to detect the remaining drugs in the infusion bag and determine whether a dressing change is needed. Currently, there are already multiple implementable schemes, and all have achieved good detection accuracy. But when sending a reminder to medical staff, some are sent to the terminals in the medical staff duty room. If the on-duty medical staff is not in the duty room exactly, it may lead to the inability to timely remind the medical staff, that is, it cannot be ensured whether the sent dressing change reminder can be normally received by the medical staff. During this process, if there are medical staff waiting beside the terminal, there may also be a problem that the medical staff cannot receive the dressing change reminder in time. This is because there are usually multiple patients receiving infusion simultaneously in the infusion room. To monitor these patients, multiple corresponding monitoring devices need to be equipped. At this time, there is a situation where multiple sending ends transmit data to one receiving end. If there are network delays or channel congestions, etc., it may lead to the dressing change reminder sent by the sending end being received with a delay. In this way, it will also result in the patient not being timely dressed when the infusion is finished. Summary of the Invention

[0007] This application provides a medical monitoring method and system based on Internet of Things information processing to solve at least one of the above technical problems.

[0008] This application adopts the following technical solutions:

[0009] On the one hand, the present application provides a medical monitoring method based on Internet of Things information processing, which is applied to an infusion room. The method includes: during the infusion process, several monitoring terminals installed on the infusion rack start to monitor the infused time and / or the infused drug amount of the currently infused drug corresponding to each of them according to the monitoring instructions from the server side, and return the monitoring results to the server side in real time. The monitoring results at least further include the device identification information of the monitoring terminal and the patient information corresponding to the currently infused drug. The monitoring terminal at least has a video stream acquisition function; the server side extracts the patient information from any one of the received monitoring results, determines the dressing change time corresponding to any one of the monitoring results through the standard infusion time and / or the standard infusion drug amount of the currently infused drug in the infusion procedure corresponding to the patient information, arranges the dressing change times corresponding to each of the monitoring results in ascending order of time to generate a dressing change time sequence, and the device identification information, the patient information and the dressing change time in the dressing change time sequence are in one-to-one correspondence; for the first dressing change time in the dressing change time sequence, the server side calculates the travel time required for the medical staff terminal to move to the monitoring terminal corresponding to the first dressing change time through the real-time position information and the medical staff information of the medical staff terminal, and calculates the sending time of the dressing change reminder to the medical staff terminal according to the first dressing change time and the travel time, so that the currently infused drug corresponding to the first dressing change time is just finished when the medical staff terminal arrives. The dressing change reminder at least includes the device identification information and the patient information corresponding to the first dressing change time and the infusion drug to be changed determined according to the infusion procedure.

[0010] In a possible implementation manner of the present application, the monitoring terminal uses a multi-path parallel transmission method when sending the monitoring results to the server side; after the monitoring terminal generates the monitoring results to be transmitted, the method further includes: before the monitoring terminal sends the monitoring results to the server side, it sends a measurement data packet to the server side through path i and receives the feedback data packet returned by the server side, where i≥2 and i is an integer; by comparing the measurement data packet and the feedback data packet, determine the path selection parameter matrix α i =[A i B i C i D i of path i, where the element A i represents the path length parameter of path i, the element B i represents the data integrity parameter of path i, the element C i represents the energy consumption parameter of path i, and the element D i represents the path delay parameter of path i; sequentially splice the path parameter matrices corresponding to all paths according to the path coding to obtain a path judgment matrix where n is the total number of paths between the monitoring terminal and the server; normalize the path judgment matrix β column by column, and sum the processed matrix row by row to obtain a column vector For the column vector After normalization processing, select the transmission path corresponding to the largest element value in the processing result and send the monitoring result to the server

[0011] In a possible implementation manner of the present application, the server determines the dressing change time corresponding to any one of the monitoring results, including: when the monitoring result includes the infused drug amount and the infused time, the infused drug amount is obtained by the monitoring terminal counting the drug drops of the infusion device in the corresponding video stream of the current infusion drug using its video stream acquisition function, and the infused time is obtained by the monitoring terminal timing the corresponding video stream of the current infusion drug using its video stream acquisition function; calculate the drug amount difference between the infused drug amount and the standard infusion drug amount; calculate the average drop speed of the drug drops according to the infused drug amount and the infused time, and determine the dressing change time through the average drop speed and the drug amount difference, and the dressing change time is in the form of a countdown; dynamically update and / or real-time update the dressing change time according to the monitoring result uploaded by the monitoring terminal, so that the dressing change time sequence changes dynamically and / or in real time

[0012] In a possible implementation manner of the present application, the server determining the dressing change time corresponding to any one of the monitoring results further includes: when the monitoring result only includes the infused time, calculate the difference between the standard infusion time and the infused time, and determine the difference as the dressing change time

[0013] In a possible implementation manner of the present application, when all other dressing change times in the dressing change time sequence are greater than the first dressing change time, the method further includes: the server determines the target position e of the medical staff terminal according to the device identification information corresponding to the first dressing change time 1 and according to the real-time position e of the medical staff terminal 2 and the infusion room map, determine the distance s to be moved by the medical staff terminal as s = |e 2 -e 1 | + s x ; where s x is the adjustment distance, taking the minimum value; obtain the height information and weight information in the medical staff information corresponding to the medical staff terminal, so as to predict the moving speed v corresponding to the medical staff terminal through the height information and the weight information; determine the ratio between the distance s to be moved and the moving speed v as the travel time t 1 ; dynamically update the travel time t according to the real-time position information of the medical staff terminal 1, and generating a moving path of the medical care terminal according to the real-time position information, and predicting a future moving path of the medical care terminal according to the infusion room map; during the dynamic update process of the journey time t 1 , determining whether the destination position e 1 is within the operation range corresponding to the future moving path; if not, when the journey time t 1 is equal to the first dressing change time t 2 , sending a dressing change reminder to the medical care terminal; if so, determining the difference between the first dressing change time t 2 and the journey time t 1 as the sending time t 3 .

[0014] In a possible implementation manner of the present application, when there is at least one other dressing change time equal to the first dressing change time in the dressing change time sequence, the method further includes: the server side generates a set of destination positions of the medical care terminal according to the device identification information corresponding to the equal dressing change times t 2 respectively in the dressing change time sequence where n is the number of equal dressing change times t 2 ; calculating the corresponding journey time for each element in the set of destination positions to obtain a set of journey times corresponding to the medical care terminal Extracting the maximum element value in the set of journey times , and at the same time extracting the destination position corresponding to the maximum element value in the set of destination positions When the maximum element value is equal to the dressing change time t 2 , sending a dressing change reminder for the destination position to the medical care terminal; during the movement of the medical care terminal to the destination position , sending a dressing change reminder corresponding to the elements within the operation range of the medical care terminal in the set of destination positions e 1 to the medical care terminal, and sending a pause reminder to the corresponding monitoring terminal for the elements not within the operation range of the medical care terminal, so that the patient pauses the infusion device in response to the received pause reminder.

[0015] ​​​In a possible implementation manner of the present application, the method further includes: before performing an infusion operation on a patient, the medical staff terminal obtains a corresponding infusion prescription based on the read patient information, and transmits the obtained infusion prescription to the server side, where the medical staff terminal is a portable terminal and at least has a function of scanning codes; the server side automatically generates an infusion program uniquely corresponding to the patient information based on the received infusion prescription, and the infusion program at least includes the infusion order and / or standard infusion time and / or standard infusion dose of each infusion drug; the server side issues the name of the first infusion drug to the medical staff terminal based on the infusion order in the infusion program, and triggers the execution of the infusion program in response to the medical staff terminal scanning the barcode on the infusion medicine bag corresponding to the first infusion drug; the server side generates a monitoring instruction based on the standard infusion time and / or standard infusion dose in the infusion program and issues it to the monitoring terminal, and the monitoring instruction at least includes monitoring indicators, and the monitoring indicators at least include the infused time and / or the infused dose.

[0016] In a possible implementation manner of the present application, the server side automatically generates an infusion program uniquely corresponding to the patient information based on the received infusion prescription, including: determining that the infusion prescription is a standardized prescription; performing a structured process on the standardized prescription, and the result of the structured process at least includes the patient name, infusion drug, infusion solvent, and infusion remarks, and the infusion remarks at least include the infusion usage; judging whether the infusion usage is a special usage, and if so, adjusting the order and dose of the infusion drug according to the special usage, and the special usage at least includes flushing the tube; replacing the variables in the sample infusion program with the infusion drug and the infusion solvent and / or assigning values to the variables in the sample infusion program based on the infusion drug and the infusion solvent, where the order of variable assignment in the sample infusion program is the same as the order of the infusion drug in the result of the structured process; assigning values to the judgment conditions in the sample infusion program according to the infusion remarks, and the judgment conditions are used to indicate whether the server side needs to send instructions to the monitoring terminal and / or the medical staff terminal, and, modifying the program name of the sample infusion program according to the patient name; generating the infusion program through the sample infusion program with assignment and modification completed, and updating the generation date of the infusion program to the system date.

[0017] In a possible implementation manner of the present application, the method further includes: the server side, in response to the medical staff terminal having completed the dressing change operation on the corresponding patient of the patient information according to the infusion drug to be replaced, sends a new monitoring instruction to the corresponding monitoring terminal of the device identification information, so that the corresponding monitoring terminal re-monitors the infusion time and / or the infusion dosage of the current infusion drug, and transmits the monitoring result to the server side in real time again; the server side recalculates the corresponding dressing change time according to the newly received monitoring result to update the dressing change time sequence.

[0018] On the other hand, the present application further provides a medical monitoring system based on Internet of Things information processing, and the system includes: a monitoring terminal, a medical staff terminal and a server side; the monitoring terminal, the medical staff terminal and the server side cooperate to execute a medical monitoring method based on Internet of Things information processing described in any of the above implementation manners.

[0019] By adopting a medical monitoring method and system based on Internet of Things information processing, the present application has the following

[0020] Beneficial effects:

[0021] 1) The medical monitoring method in this application is mainly applied in the infusion scenario. During the patient's infusion process, the monitoring terminal installed on the infusion rack collects video stream data, monitors the patient's infused time and / or infused drugs, and generates monitoring results to be sent to the server side. The server side calculates the dressing change time corresponding to the monitoring results transmitted from each monitoring terminal based on the received monitoring results and the standard infusion dose and / or standard infusion time of the current infusion drug in the pre-generated infusion program, obtaining a dressing change time sequence. In this process, the whole process of the infusion can be monitored through the monitoring terminal, and the calculation process of the monitoring results is transferred to the server side instead of being implemented on the monitoring terminal, which can reduce the cost of the monitoring terminal. It only requires the monitoring terminal to have the functions of video stream collection and data output, facilitating the popularization and implementation of this solution. Then, compared with the traditional solution, before sending a dressing change reminder to the medical staff terminal, the location information and / or medical staff information of the medical staff terminal (i.e., the information of the on-duty medical staff using the medical staff terminal) will be considered. The travel time for the medical staff terminal to reach the dressing change location is calculated through these two pieces of information, and then based on this travel time and the dressing change time, the sending time for sending the dressing change reminder to the medical staff terminal is determined. In this way, considering the situation of the medical staff terminal makes the patient's infusion drug just finish when the medical staff terminal arrives. That is, the solution in this application determines the dressing change time through the data of the monitoring terminal, determines the travel time through the data of the medical staff terminal, and calculates the appropriate time for sending the dressing change reminder by considering these two times together. It can not only avoid the situation where the medical staff arrives in advance and there is still a small amount of the patient's infusion drug remaining, causing drug waste or affecting the treatment effect, but also ensure that the medical staff can just reach to perform the dressing change operation when the patient's drug is finished, avoiding the drawback that the infusion duration is extended because the user needs to turn off the infusion device and wait for the medical staff after the drug is finished. Moreover, the solution in this application performs better in the infusion scenario of drugs with special usage such as flushing the tube.

[0022] 2) Since the solution in this application requires multiple monitoring terminals to send monitoring results to the server side, to ensure that the server side can receive the detection results in time and give the sending time of the dressing change reminder in time, before sending the monitoring results to the server side, the monitoring terminal will first send a test data packet to the server side. Based on the feedback data packet returned by the server side after receiving the test data packet, the selection parameters of each path are determined. Finally, based on these parameters, a path with relatively good transmission performance is selected for sending the monitoring results, so as to ensure that the server side can receive the detection results sent by the monitoring terminal in time and make a response in time, effectively avoiding the data delay or network congestion problems that often occur in the data transmission scenario where multiple sending ends send data to one receiving end, and ensuring the transmission efficiency of the monitoring results.

[0023] 3) In this application, the implementation process of calculating the dressing change time on the server side is simpler than the calculation process in the current infusion monitoring solution. By comparing the infused time and / or the infused drug amount in the detection result with the standard infusion time and / or the standard infusion drug amount in the infusion program, the dressing change time can be obtained. Simplifying the calculation process of the dressing change time makes the cost of this solution low, and the simple calculation process requires less computing power resources provided by the server side, reducing the computing pressure on the server side and lowering the cost of this set of solutions in many aspects, making it more convenient for the production, promotion, and application of this solution.

[0024] 4) When determining the sending time of the dressing change reminder sent to the medical staff terminal in this application, there are two situations. One is that in the dressing change time sequence, the first dressing change time is the shortest time, and when other dressing change times are longer than it, by combining the location information of the medical staff terminal and the destination location corresponding to the first dressing change time with the information of the medical staff using the medical staff terminal, the travel time for the medical staff terminal to reach the destination location that needs a dressing change is predicted / calculated. This travel time must be less than or equal to the dressing change time. At the same time, the future movement path will also be predicted through the historical location of the medical staff terminal. If the destination location is within the operable range of the future movement path, the dressing change reminder will be sent when the two are equal, so that the infusion drug is just finished when the medical staff terminal arrives, neither causing the problem of affecting the treatment effect by changing the dressing in advance nor ensuring that the patient can be changed the dressing in time when the infusion drug is finished; the other is that there is at least one time equal to the first dressing change time among other dressing change times. In this corresponding situation, there will be multiple destination locations that need a dressing change. When there is only one medical staff terminal, the dressing change reminder is sent when the maximum dressing change time among the equal times is equal to the corresponding travel time of its corresponding destination location, and during the process of the medical staff terminal moving towards this destination location, the dressing change reminder corresponding to the destination location of other dressing change times within the operation range is sent to the medical staff terminal, so that the medical staff terminal can change the dressings of as many patients as possible in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in this application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings. In the drawings:

[0026] Figure 1 It is a flowchart of a medical monitoring method based on Internet of Things information processing provided by this application;

[0027] Figure 2 It is a schematic structural diagram of a medical monitoring device based on Internet of Things information processing provided by this application. Detailed implementation manners

[0028] In order to enable those skilled in the art of the present technology to better understand the technical solutions in the present application, the following will clearly and completely describe the technical solutions in the present application in conjunction with the accompanying drawings in the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments of this specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0029] The following will detail the method in the present application through the accompanying drawings.

[0030] Figure 1 The flowchart of a medical monitoring method based on Internet of Things information processing provided by the present application is as Figure 1 shown. The medical monitoring method in the present application at least includes the following execution steps:

[0031] Step 101: Before performing an infusion operation on a patient, the medical staff terminal reads the patient's infusion prescription and sends it to the server side so that the server side can generate an infusion program according to the infusion prescription.

[0032] Before performing an infusion operation on a patient, the medical staff terminal first reads the patient information, and obtains the corresponding infusion prescription for the patient through the read patient information. In one example, the medical staff terminal is preferably a portable medical staff terminal and can be carried by medical staff. The present application designs the medical staff terminal as a portable terminal. On the one hand, it saves costs, and on the other hand, it can be carried by medical staff, enabling the possibility of medical staff actively seeking patients during patient infusion, avoiding the drawback of patients queuing up in the infusion room, especially in the autumn and winter seasons when influenza is prone to occur, which is more helpful to reduce the risk of cross-infection among patients. At the same time, the medical staff terminal in the present application also has a barcode scanning function and can scan barcodes of patient terminals and other items. Under the premise of obtaining authorization, personal information, illness information, prescriptions and other information of patients can be obtained. Then, the medical staff terminal sends the obtained infusion prescription to the server side.

[0033] After receiving the infusion prescription sent from the medical staff terminal, the server side generates an infusion program for the patient corresponding to the infusion prescription. Here, the patient, the infusion prescription and the infusion program are all in a one-to-one correspondence relationship. In one example, the infusion program at least includes the infusion sequence of each infusion drug and / or the standard infusion time and / or the standard infusion dose.

[0034] In a possible implementation of the present application, when generating an infusion program, the server first confirms whether the received infusion prescription is a standardized infusion prescription. Here, the standardized infusion prescription refers to an infusion prescription issued by a doctor for a patient, and its content includes at least information such as patient personal information, infusion drugs, infusion dosage, and infusion usage. When the server confirms that the received infusion prescription is a standardized prescription, it performs structured processing on the standardized prescription, extracts the patient name, infusion drugs, infusion solvent, and infusion remarks according to a certain structure or pattern. Here, the infusion remarks include at least the infusion usage of the infusion drugs. Then, it determines whether the infusion usage is a special usage. If so, it adjusts the order of the infusion drugs, the dosage of the infusion drugs, and / or the time of the infusion drugs, etc. Here, the special usage includes at least flushing the tube, etc. For example, if the specification of a certain drug is 100 ml and the infusion usage is marked as 100 ml, intravenous drip, it means that the drug needs to be completely infused and there is no need to change the drug midway, that is, the drug is considered to have a normal usage; while if the infusion usage of a certain drug is written as flushing the tube, the infusion order of the drug is adjusted to be inserted in the middle of each drug, and the time is adjusted to 5 minutes. Then, it obtains a sample infusion program, replaces the variables in the sample infusion program with the infusion drugs and the infusion solvent, and / or assigns values to the variables in the sample infusion program based on the infusion drugs and the infusion solvent. And when assigning values, the order of variable assignment is the same as the infusion order of the infusion drugs in the result of structured processing. Then, it assigns values to the judgment conditions in the sample infusion program according to the infusion remarks. Here, the judgment conditions are used to indicate whether the server needs to send instructions to the monitoring terminal and / or the medical staff terminal. For example, if the infusion remarks of the current infusion drug are infusion for 5 minutes, the judgment condition is t = 5 minutes? If the judgment result is yes, when the server executes the infusion program, it sends a dressing change reminder to the medical staff terminal based on this judgment condition. Finally, it modifies the program name of the sample infusion program according to the patient name, and updates the update date of the sample infusion program to the system date to obtain the infusion program. Through the infusion program automatic generation technology of the present application, a corresponding infusion program is automatically generated for the infusion prescription, enabling the server to send instructions to the monitoring terminal or the medical staff terminal by executing the infusion program, improving the intelligent level of infusion monitoring, and automatically judging the execution nodes of the infusion program based on the drug information scanned and uploaded by the medical staff terminal. Subsequently, messages such as dressing change reminders can be automatically sent based on this execution stage, reducing the pressure of the medical staff's rounds for dressing changes.

[0035] After generating an infusion program on the server side, the first infusion drug is sent to the medical staff terminal based on the infusion order therein. The medical staff terminal scans the patient's infusion medicine bag or infusion medicine bottle based on the name of the received first infusion drug and returns to the server side to trigger the execution of the infusion program. During the execution of the infusion program, the server side issues a monitoring instruction to the monitoring terminal based on the standard infusion time and / or standard infusion dose in the infusion program, and the monitoring instruction includes at least monitoring indicators such as infusion time and infusion dose.

[0036] Step 102: During the infusion process, the monitoring terminal monitors the elapsed infusion time and / or the elapsed infusion dose of the current infusion drug and sends the monitoring results to the server side in real time.

[0037] The monitoring terminal in this application is installed on the infusion rack in the infusion room and collects video data of the infusion drug during the infusion process through its video stream acquisition function. Specifically, during the patient's infusion process, each monitoring terminal detects the elapsed infusion time and / or the elapsed infusion dose corresponding to it based on the monitoring instruction issued by the server side and returns the detection results to the server side in real time.

[0038] It should be noted that when the server side issues a monitoring instruction to the monitoring terminal, the monitoring instruction corresponding to the patient of this monitoring terminal is issued to each monitoring terminal, that is, the patient and the monitoring terminal are in one-to-one correspondence, and the infusion program on the server side and the patient are in one-to-one correspondence. For example, when patient x is having an infusion and chooses to sit on infusion rack No. 1, the label number of its corresponding monitoring terminal is No. 1. Before the medical staff terminal performs the infusion operation on patient x, patient x can display his corresponding medical barcode to the No. 1 monitoring terminal through the terminal he uses (to avoid cumbersome operations for patients, this process can also be designed to be implemented by the medical staff terminal, such as the medical staff terminal transmitting the scanned patient information to the monitoring terminal, etc.). In this way, the binding between the patient and the medical staff terminal can be realized, and the server side can also know this binding information. When the medical staff terminal scans the patient barcode and uploads the infusion prescription to the server side, the server side can bind the patient information - monitoring terminal number - infusion program together. After that, the server side issues the first infusion drug to the medical staff terminal based on the infusion program and issues a monitoring instruction to the monitoring terminal based on the infusion program.

[0039] Furthermore, when the monitoring terminal sends the monitoring results to the server side, the monitoring results may include identification information of the device, such as the device number, so that when the server side receives the monitoring results, it can determine whose monitoring results are obtained.

[0040] In a possible implementation of the present application, there are often dozens or even hundreds of infusion stands in the infusion room, which can accommodate dozens or even hundreds of patients. In this way, a corresponding number of monitoring terminals need to be equipped. It can also be seen here that the monitoring terminals described above can only have the function of video stream acquisition, which is also to further reduce the cost of the entire system and facilitate the popularization and application of this solution. When these monitoring terminals send monitoring results to the server side, problems such as data congestion or data delay are likely to occur, causing the server side to receive the monitoring results with a delay and unable to make a judgment in a timely manner, and issue a dressing change reminder to the medical staff terminal in a timely manner, resulting in the patient not being able to change the dressing in a timely manner when the infusion is completed. To solve this problem, the transmission path between the monitoring terminal and the server side in this application is designed as a multi-path parallel transmission method. Therefore, before officially transmitting the monitoring results, the monitoring terminal can first send a measurement data packet to the server side through all paths. The measurement data packet has a small data volume and a fast transmission speed, enabling the monitoring terminal to determine parameters such as the path length, data integrity, energy consumption, and path delay of each path based on the feedback data packet returned by the server side.

[0041] In an example, assume that the monitoring terminal that wants to send the monitoring results sends a measurement data packet to the server side through path i, and determines the path selection parameter matrix α of path i based on the returned feedback data packet i =[A i B i C i D i , where the element A i represents the path length parameter of path i, the element B i represents the data integrity parameter of path i, the element C i represents the energy consumption parameter of path i, the element D i represents the path delay parameter of path i. After that, the path parameter matrices corresponding to all paths are sequentially spliced according to the path coding to obtain the path judgment matrix where n is the total number of paths between the monitoring terminal and the server side; the path judgment matrix β is normalized column by column, and the processed matrix is summed row by row. For the resulting column vector Perform normalization processing. Finally, select the transmission path corresponding to the largest element value in the processing result as the monitoring result sending path, and the monitoring terminal uses the selected sending path to send its monitoring result to the server side. Through the above solution, the present application can effectively solve the problems of data congestion or data delay in the one-to-many data transmission process. Multiple monitoring terminals send monitoring results to the server side by selecting different paths, which can effectively improve the data transmission efficiency of the monitoring results, enabling the server side to receive the detection results in a timely manner and make a timely response. In the infusion scenario, data transmission delay will cause the server side to fail to send a dressing change reminder to the medical staff terminal in a timely manner, resulting in the patient being unable to change the dressing in a timely manner when the infusion is completed, prolonging the overall infusion time of the patient.

[0042] Step 103: The server side generates a dressing change time series in response to the received monitoring result.

[0043] After the server side receives the monitoring result, it indirectly obtains the patient information through the device identification information carried in the monitoring result, or can directly make the monitoring terminal carry the patient information, reducing the time for the server side to find the corresponding patient information based on the device information, that is, reducing the reaction time of the server. Through the infusion procedure corresponding to the patient information, find the standard infusion time and / or standard infusion dose corresponding to the current infusion drug. Then, based on the standard infusion time and / or standard infusion dose, and the infused time and / or infused dose carried in the monitoring result, determine the dressing change time. For the monitoring results uploaded by multiple monitoring terminals, generate the corresponding dressing change times respectively, and finally obtain a dressing change time series from short to long in time.

[0044] In a possible implementation manner of the present application, if the monitoring result only includes the infused time, that is, only the infusion time is included in the monitoring indicators previously issued by the server side, then at this time, the difference between the infused time and the standard infusion time can be determined as the dressing change time. For example, the standard infusion time is 5 minutes, and the infused time monitored by the monitoring terminal is 4 minutes, then the dressing change time is 1 minute, which means that a dressing change is required after 1 minute. If the monitoring indicators carried by the server side when sending the monitoring instruction to the monitoring terminal are the infusion time and the infusion dose, then the monitoring result uploaded by the monitoring terminal will include both the infused time and the infused dose. At this time, on the one hand, the difference between the infused time and the standard infusion time can be determined as the dressing change time; on the other hand, the ratio between the difference between the infused dose and the standard infusion dose and the average low speed calculated by the ratio between the infused dose and the infused time can be used to determine the dressing change time; it is also possible to use the average value of the two dressing change times determined from both aspects as the dressing change time and store it in the dressing change time series.

[0045] It should be noted that the aforementioned infused medicine volume can be obtained by counting the number of times the medicine drops in the infusion video, and the infusion time can be obtained by the corresponding duration of the infusion video. Compared with the existing dressing change reminder scheme, the scheme for monitoring the infusion process in this application to obtain the dressing change time is relatively simple. It does not require processing the infusion image, identifying the remaining medicine volume, or weight detection of the infusion bag or infusion bottle, etc., realizing a more convenient dressing change time calculation scheme, which provides a positive impact on the cost reduction of the whole system. At the same time, the amount of medicine infused or the infusion time can be obtained through the drip timing in the video stream data or the video duration data, which can be achieved through existing means and can ensure the accuracy of the monitoring results. This application will not go into details here.

[0046] In one example, each dressing change time in the dressing change time series is calculated based on the monitoring results uploaded by the corresponding monitoring terminals. Therefore, when the monitoring terminal sends the monitoring results to the server in real time or regularly, the dressing change time will change dynamically, and correspondingly, the dressing change time series will change dynamically. In addition, the dressing change time in the dressing change time series is expressed in the form of a countdown.

[0047] In a further example, because there is a dressing change time series, the server side can know which monitoring terminals correspond to patients who need a longer dressing change time. In this way, when receiving monitoring results, the server side can also give priority to receiving the monitoring results uploaded by the monitoring terminals corresponding to the dressing change times at the beginning of the dressing change time series. That is, a higher priority is given to the monitoring terminals corresponding to the dressing change times in the first few items in the dressing change time series. When receiving monitoring results, the server side gives priority to receiving the monitoring results uploaded by the monitoring terminals with higher priority levels to ensure that the server side promptly sends dressing change reminders to the medical terminals for these dressing change times, so that the patients corresponding to these dressing change times can have their dressings changed in time after the infusion is completed.

[0048] Step 104: The server calculates the time to send the dressing change reminder to the medical terminal according to the dressing change time sequence, and the acquired real-time location information and medical information of the medical terminal.

[0049] In a possible implementation of the present application, when the server calculates the sending time of the dressing change reminder, there are mainly two implementation processes:

[0050] Process 1: The first dressing change time in the dressing change time sequence is less than the second dressing change time. That is, the server only needs to consider the first dressing change time when calculating the sending time of the dressing change reminder:

[0051] Specifically, the server first obtains the destination location of the medical terminal to be changed based on the device identification information corresponding to the first dressing change time, such as the number of the monitoring terminal. 1, and determine the distance s to be moved by the medical staff terminal according to the real-time position e of the medical staff terminal 2 and the infusion room map, where s = |e 2 - e 1 | + s x ; where s x is the adjustment distance and takes the minimum value. Assume that the infusion room map where the medical staff terminal moves is square and the infusion racks are vertically arranged within the square. Then the movable paths of the medical staff terminal are multiple vertical paths and two horizontal paths on both sides of the vertically arranged infusion racks. If e 1 and e 2 are on the same column of infusion racks, then the minimum value of s x is taken as 0. If e 1 and e 2 are not on the same column of infusion racks, then |e 2 - e 1 | can align the two positions horizontally. At this time, the minimum value of s x is the sum of the minimum distances from the two aligned positions to the two horizontal paths and the horizontal distance between the two positions. Then obtain the medical staff information corresponding to the medical staff terminal, that is, the height information and weight information in the personal information of the medical staff using the medical staff terminal. Estimate / predict the moving speed v of the medical staff terminal corresponding to these two items of information. The prediction process here can be calculated by existing means and will not be elaborated in this application. Finally, determine the ratio between the distance s to be moved and the moving speed v as the travel time t 1 required for the medical staff terminal to reach the target position e for dressing change 1 . It should be noted that during the movement of the real-time position e 2 of the medical staff terminal, the travel time t 1 is also dynamically updated.

[0052] Furthermore, generate the moving path of the medical staff terminal according to the real-time position e 2 , and predict the future moving path of the medical staff terminal according to the infusion room map. The prediction or planning of the moving path can also be realized by existing means and will not be elaborated in this solution. For example, the future path can be predicted in the infusion room map according to the moving path and moving direction of the medical staff terminal.

[0053] Judge whether the target position e 1 is within the operation range corresponding to the predicted future moving path. The corresponding operation range here refers to the set of positions where the medical staff terminal can perform dressing change operations when it is at the real-time position e 2 . If the target position e 1 is within the operation range corresponding to the future moving path, it means that the medical staff terminal is moving towards the direction of the target position e 1 . At this time, the first dressing change time t2 and the travel time t 1 The difference between them is determined as the sending time t 3 . For example, the first dressing change time t 1 corresponding to the destination position e 2 is 3 minutes, and the travel time t 1 is 2 minutes. Then the server will send a dressing change reminder to the medical staff terminal after 1 minute. Since the medical staff terminal moves towards the destination position e 1 , the medical staff terminal will reach the destination position e after 2 minutes 1 . Thus, when the medical staff terminal arrives, the infusion drug is just finished and needs to be changed. If the destination position e 1 is not within the operation range corresponding to the future movement path, that is, it means the medical staff terminal moves away from the destination position e 1 . This will cause the travel time t 1 between the destination position e 2 and the real-time position e of the medical staff terminal 1 to increase continuously. Therefore, in this case, it is selected to send a dressing change reminder to the medical staff terminal when the travel time t 1 is equal to the first dressing change time t 2 . For example, the travel time t 1 is 2 minutes, and the first dressing change time is 3 minutes. Then when the travel time t 1 increases continuously to 3 minutes, a dressing change reminder is sent to the mobile terminal. In this way, when the medical staff terminal receives the dressing change reminder, it travels towards the destination position e 1 and reaches the destination position e after 3 minutes 1 for dressing change, and it can also ensure that when the medical staff terminal arrives, the infusion drug is just finished.

[0054] That is to say, in the above scheme of the present application, whether the medical staff terminal travels towards the destination position to be dressed or not, it can be realized that when the medical staff terminal arrives, the infusion drug is just finished and needs to be changed. It will neither cause the medical staff terminal to arrive in advance, resulting in early dressing change affecting the treatment effect or making the medical staff wait, affecting the work efficiency of the medical staff, nor will the medical staff not arrive after the infusion is completed, increasing the overall infusion time of the patient, making the patient have a fidgety and anxious mentality and increasing the risk of cross-infection of the patient.

[0055] It should be noted that after the infusion medicine bag or medicine bottle is newly changed, the monitoring terminal starts to monitor the infusion state and uploads the monitoring results to the server. Assuming that the dressing change time of the general infusion medicine bag or medicine bottle is 30 minutes, and the travel time of the medical staff in the infusion room generally does not exceed 30 minutes. Therefore, in the present application, there is a reasonable reason to default that the travel time t 1 is always less than or equal to the dressing change time t2 At the same time, during the journey time t 1 is greater than the dressing change time t 2 it will inevitably lead to the situation that the medical staff has not arrived yet when the patient's drug infusion is finished, which is not allowed in this embodiment either.

[0056] Process 2: The first dressing change time in the dressing change time sequence is equal to the 2nd to nth dressing change times. That is, when the server calculates the sending time of the dressing change reminder, it needs to consider the first n dressing change times:

[0057] Specifically, the server extracts the device identification information corresponding to the equal first n dressing change times in the dressing change time sequence. It should be noted that the first n dressing change times here are the dressing change times with the shortest duration in the entire dressing change time sequence. Generate a set of destination positions for the medical staff terminal according to the extracted device identification information For each destination position in this set, calculate the journey time t 2 between it and the real-time position e of the medical staff terminal 1 to obtain a set of journey times The calculation process of the journey time t 1 here is the same as or similar to the corresponding calculation process in Process 1 described above, and this application will not elaborate here.

[0058] Furthermore, extract the maximum element value from the set of journey times At the same time, extract the destination position corresponding to this maximum element value in the set of destination positions That is, find the farthest destination position of the medical staff terminal. It should be noted that the medical staff terminal may move continuously in the infusion room. When it moves continuously, the value of the maximum element value may fluctuate up and down, while the dressing change time t 2 is continuously decreasing. Therefore, when the maximum element value is equal to the dressing change time t 2 send a dressing change reminder for the destination position to the medical staff terminal, so that the medical staff terminal moves in the direction of the destination position and the infusion drug corresponding to when the medical staff terminal arrives at the destination position just finishes infusing.

[0059] For the remaining destination positions in the set of destination positions, when the medical staff terminal moves towards the destination position During the movement, it is determined whether there is a position within the corresponding operation range of the medical care terminal among the remaining destination positions. If so, a dressing change reminder for these destination positions is sent to the medical care terminal. These dressing change reminders will enable the medical staff to reach the destination positions before the infusion is completed. However, since the medical staff can operate the infusion device to make the drug in the infusion bag or infusion bottle enter the drip chamber in advance, timely dressing change for the patient can also be achieved, avoiding the situation that the patients at these destination positions cannot have their dressings changed in time after the infusion is completed. That is, since the medical staff can operate the infusion device, the present application preferentially selects early dressing change between early dressing change and delayed dressing change. For the destination positions not within the operation range of the medical care terminal, the server sends a pause reminder to the corresponding monitoring terminal when the dressing change time is 0 or about to be 0, so that the patient responds to the received pause reminder to pause the infusion device. When receiving the information that the dressing change for other destination positions is completed, the server sends a dressing change reminder for these paused destination positions to the medical care terminal. In this way, for the positions to be dressed in the destination position set, even if timely dressing change cannot be fully achieved, timely reminder for the undressed positions can be realized, avoiding potential infusion safety hazards.

[0060] Of course, for the destination positions with the same dressing change time in the present application, path planning can also be combined with the real-time position of the medical care terminal. By designing constraint conditions, the real-time position of the medical care terminal can coincide with the destination positions as much as possible when the dressing change time ends or is about to end. Or, path optimization can be performed among these positions, and the restrictions of the infusion room map and the dressing change time also need to be considered during the optimization.

[0061] Step 105: After receiving the dressing change reminder, the medical care terminal performs a dressing change operation on the corresponding patient and feeds back a dressing change operation completion instruction to the server.

[0062] When the medical care terminal performs a dressing change operation on the patient, it scans the barcode of the newly changed infusion drug and feeds back a dressing change operation completion instruction to the server after the operation is completed.

[0063] In one example, to reduce the data transmission process and avoid the problem of untimely issuance of dressing change reminders caused by data delay, the medical care terminal can also directly upload the information of the newly changed drug as an operation completion instruction to the server when scanning the barcode, without uploading the instruction again after the operation is completed. The server continues to execute the infusion program according to this instruction.

[0064] Step 106: In response to the dressing change operation completion instruction, the server issues a new monitoring instruction to the monitoring terminal according to the infusion program and updates the dressing change time sequence based on the new monitoring results returned by the monitoring terminal.

[0065] After receiving the instruction indicating the completion of the dressing change operation uploaded by the medical staff terminal, the server continues to execute the infusion program and sends a new monitoring instruction to the monitoring terminal, enabling the monitoring terminal to re-monitor the infused time and / or the infused drug amount of the newly changed infusion drug, and continue to upload the monitoring results in real time or at regular intervals. It should be noted that when the server sends a new monitoring instruction to the monitoring terminal, it is generated and sent based on information such as the infusion usage method of the newly changed infusion drug. For example, if the newly changed infusion drug is a tube flushing drug and the corresponding standard infusion time is 5 minutes, then when the server sends a monitoring instruction for this newly changed infusion drug to the monitoring terminal, it can send a monitoring instruction carrying the monitoring index of the infusion time.

[0066] Furthermore, the server continues to receive the monitoring results uploaded by the monitoring terminal, and recalculates the dressing change time corresponding to the monitoring terminal based on the monitoring results, and updates the dressing change time sequence with the newly calculated dressing change time to enter the dressing change process of the patient corresponding to the next monitoring terminal.

[0067] That is to say, in this application, the dressing change time sequence is continuously used to remind the patient corresponding to the first dressing change time, so as to ensure that when the patient's infusion is completed, the medical staff just arrives at the dressing change point to perform the dressing change operation, which will neither make the patient wait for a long time nor make the patient change the dressing in advance, affecting the treatment effect.

[0068] Based on the same inventive concept, this application also provides a medical monitoring system based on Internet of Things information processing, and its architecture is as Figure 2 shown.

[0069] Figure 2 This is a schematic diagram of the architecture of a medical monitoring system based on Internet of Things information processing provided by this application. As Figure 2 shown, the system in this application includes: a monitoring terminal 201, a medical staff terminal 202, and a server terminal 203; the monitoring terminal 201, the medical staff terminal 202, and the server terminal 203 cooperate to execute a medical monitoring method based on Internet of Things information processing described in any of the above implementation manners.

[0070] Each embodiment in this application is described in a progressive manner. The same or similar parts among the embodiments can be referred to each other, and the key points of each embodiment are the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0071] The system and method provided by this application are in one-to-one correspondence. Therefore, the system also has beneficial technical effects similar to those of its corresponding method. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system will not be elaborated here.

[0072] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, devices, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code.

[0073] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, commodity or device comprising a series of elements not only includes those elements but also includes other elements not expressly listed, or elements inherent to such process, method, commodity or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, commodity or device comprising the element.

[0074] The above are only the embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the protection scope of the present application.

Claims

1. A medical monitoring method based on Internet of Things information processing, characterized in that: Applied to an infusion room, the method comprises: During the infusion process, several monitoring terminals installed on the infusion stand start monitoring the infusion time and / or infusion volume of the current infusion drugs respectively corresponding to them according to the monitoring instructions of the server, and return the monitoring results to the server in real time, wherein the monitoring results at least include the device identification information of the monitoring terminal and the patient information corresponding to the current infusion drug, and the monitoring terminal at least has a video stream acquisition function; The server extracts the patient information for any of the monitoring results received, determines the dressing change time corresponding to any of the monitoring results through the standard infusion time and / or standard infusion volume corresponding to the current infusion drug in the infusion program corresponding to the patient information, and arranges the dressing change times corresponding to the monitoring results in ascending order to generate a dressing change time sequence, in which the device identification information, the patient information, and the dressing change time correspond to one by one; The server side calculates the travel time required for the medical care terminal to move to the monitoring terminal corresponding to the first dressing change time by acquiring the real-time location information and medical care information of the medical care terminal for the first dressing change time in the dressing change time sequence, and calculates the sending time of the dressing change reminder to the medical care terminal according to the first dressing change time and the travel time, so that the current infusion medicine corresponding to the first dressing change time is just finished when the medical care terminal arrives, and the dressing change reminder includes at least the equipment identification information and patient information corresponding to the first dressing change time and the infusion medicine to be changed determined according to the infusion procedure; The server sends the dressing change reminder to the medical terminal when the sending time arrives.

2. A medical monitoring method based on IoT information processing according to claim 1, characterized in that: The monitoring terminal uses a multi-path parallel transmission mode when sending the monitoring result to the server; after the monitoring terminal generates the monitoring result to be transmitted, the method further includes: Before sending the monitoring results to the server, the monitoring terminal sends a measurement data packet to the server through path i and receives a feedback data packet returned by the server, where i ≥ 2 and i is an integer; By comparing the measurement data packet and the feedback data packet, the path selection parameter matrix α corresponding to the path i is determined i =[A i B i C i D i ], where element A i Represents the path length parameter of path i, element B i Represents the data integrity parameter of path i, element C i represents the energy consumption parameter of path i, element D i represents the path delay parameter of path i; The path parameter matrices corresponding to all paths are sequentially concatenated according to the path coding to obtain the path judgment matrix Where n is the total number of paths between the monitoring terminal and the server; The path judgment matrix β is normalized in columns, and the matrix obtained after the processing is summed in rows to obtain a column vector For the column vector After normalization processing, the transmission path corresponding to the largest element value in the processing result is selected to send the monitoring result to the server.

3. A medical monitoring method based on IoT information processing according to claim 1, characterized in that: The server determines the dressing change time corresponding to any of the monitoring results, including: When the monitoring result includes the amount of infused medicine and the infusion time, the amount of infused medicine is obtained by the monitoring terminal using its video stream acquisition function to count the drops of medicine from the infusion device in the corresponding video stream of the current infusion medicine, and the infusion time is obtained by the monitoring terminal using its video stream acquisition function to count the corresponding video stream of the current infusion medicine; Calculating the difference between the infused drug amount and the standard infused drug amount; Calculate the average dripping speed of the medicine drops according to the infused medicine amount and the infusion time, and determine the dressing change time by the average dripping speed and the difference in medicine amount, wherein the dressing change time is in a countdown form; The dressing change time is dynamically updated and / or updated in real time according to the monitoring results uploaded by the monitoring terminal, so that the dressing change time series changes dynamically and / or in real time.

4. A medical monitoring method based on IoT information processing according to claim 3, characterized in that: The server determines the dressing change time corresponding to any of the monitoring results, and further includes: When the monitoring result only includes the infusion time, the difference between the standard infusion time and the infusion time is calculated to determine the difference as the dressing change time.

5. The medical monitoring method based on IoT information processing according to claim 1, characterized in that: When other dressing change times in the dressing change time sequence are greater than the first dressing change time, the method further includes: The server determines the destination position e1 of the medical terminal according to the device identification information corresponding to the first dressing change time, and determines the distance to be moved s=|e2-e1|+s according to the real-time position e2 of the medical terminal and the infusion room map. x ; Among them, s x To adjust the distance, take the minimum value; Obtaining height information and weight information in the medical information corresponding to the medical terminal, so as to predict the moving speed v corresponding to the medical terminal according to the height information and the weight information; The ratio between the distance to be moved s and the moving speed v is determined as the travel time t1; Dynamically updating the travel time t1 according to the real-time position e2 of the medical terminal, generating the moving path of the medical terminal according to the real-time position e2, and predicting the future moving path of the medical terminal according to the infusion room map; During the dynamic update of the travel time t1, determining whether the destination position e1 is within the operation range corresponding to the future moving path; If not, when the journey time t1 and the first dressing change time t2 are equal, a dressing change reminder is sent to the medical terminal; If so, the difference between the first dressing change time t2 and the journey time t1 is determined as the sending time t3.

6. A medical monitoring method based on IoT information processing according to claim 5, characterized in that: When there is at least one other dressing change time in the dressing change time sequence that is equal to the first dressing change time, the method further includes: The server generates a destination location set of the medical terminal according to the device identification information corresponding to the equal dressing change time t2 in the dressing change time sequence. Where n is the number of equal dressing change times t2; For the destination location set Calculate the corresponding travel time for each element in the , and get the travel time set corresponding to the medical terminal The journey time is combined The maximum element value in Extracted and collected at the destination Extract the maximum element value The corresponding destination The maximum element value in When the dressing change time t2 is equal to the dressing change time t2, a signal is sent to the medical terminal for the destination location. Reminder for dressing changes; At the medical terminal, During the movement process, a dressing change reminder corresponding to the elements in the destination location set e1 that are within the operation range of the medical terminal is sent to the medical terminal, and a pause reminder is sent to the corresponding monitoring terminal for the elements that are not within the operation range of the medical terminal, so that the patient pauses the infusion device in response to the received pause reminder.

7. The medical monitoring method based on IoT information processing according to claim 1, characterized in that: The method further comprises: Before performing an infusion operation on a patient, the medical terminal obtains the corresponding infusion prescription by reading the patient information, and transmits the obtained infusion prescription to the server, wherein the medical terminal is a portable terminal and has at least a code scanning function; The server automatically generates an infusion program uniquely corresponding to the patient information based on the received infusion prescription, wherein the infusion program at least includes an infusion sequence and / or a standard infusion time and / or a standard infusion volume of each infusion drug; The server sends the name of the first infusion drug to the medical terminal based on the infusion sequence in the infusion program, and triggers the execution of the infusion program in response to the medical terminal scanning the barcode on the infusion drug bag corresponding to the first infusion drug; The server generates a monitoring instruction based on the standard infusion time and / or standard infusion dosage in the infusion program and sends it to the monitoring terminal. The monitoring instruction includes at least a monitoring indicator, and the monitoring indicator includes at least the infusion time and / or the infusion dosage.

8. A medical monitoring method based on IoT information processing according to claim 7, characterized in that: The server automatically generates an infusion program uniquely corresponding to the patient information based on the received infusion prescription, including: Determining that the infusion prescription is a standardized prescription; Performing structured processing on the standardized prescription, wherein the result of the structured processing at least includes the patient's name, infusion medicine, infusion medium and infusion notes, and the infusion notes at least includes infusion usage; Determine whether the infusion usage is a special usage, and if so, adjust the order of the infusion drugs and the dosage of the infusion drugs according to the special usage, wherein the special usage at least includes flushing the tube; Replacing the variables in the sample infusion program with the infusion drug and the infusion medium and / or assigning values ​​to the variables in the sample infusion program based on the infusion drug and the infusion medium, wherein the order of assigning values ​​to the variables in the sample infusion program is the same as the order of the infusion drugs in the result of the structured processing; Assigning a value to a judgment condition in the sample infusion program according to the infusion remarks, the judgment condition being used to indicate whether the server needs to send an instruction to a monitoring terminal and / or a medical terminal, and modifying a program name of the sample infusion program according to the patient name; The infusion program is generated by assigning and modifying the completed template infusion program, and the generation date of the infusion program is updated to the system date.

9. The medical monitoring method based on IoT information processing according to claim 1, characterized in that: The method further comprises: In response to the medical terminal performing a dressing change operation on the patient corresponding to the patient information according to the infusion drug to be changed, the server sends a new monitoring instruction to the monitoring terminal corresponding to the device identification information, so that the corresponding monitoring terminal re-monitors the infusion time and / or the infusion amount of the current infusion drug, and transmits the monitoring result to the server again in real time; The server recalculates the corresponding dressing change time according to the newly received monitoring result to update the dressing change time series.

10. A medical monitoring system based on Internet of Things information processing, characterized in that: The system includes: a monitoring terminal, a medical terminal and a server; The monitoring terminal, medical terminal and server cooperate to execute a medical monitoring method based on Internet of Things information processing as described in any one of claims 1-9.

Images