Background remote multipoint infusion monitoring method based on medical advice

Abstract

The invention discloses a background remote multi-point infusion monitoring method based on medical advices, and relates to the technical field of remote multi-point infusion monitoring. A data input module is used for inputting corresponding medical advice information among multiple points in a medical advice background monitoring system and collecting infusion data in real time; the infusion speed V of each infusion patient is calculated and output, the infusion error of each infusion patient is corrected according to the real-time doctor's advice change, the next round of infusion speed V of iteration and the next round of infusion speed Vnext fed back in a circulating mode are calculated and output, and the current infusion speed V is remotely monitored in real time through a monitoring and early warning module. And when the infusion speed exceeds the infusion speed V. According to the invention, the infusion condition of an infusion patient is monitored in real time, and in combination with a control algorithm, the accurate adjustment of the infusion speed based on the change condition is realized, so that the real-time accuracy of remote multi-point infusion monitoring and the monitoring effect of timely processing are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of remote multi-point infusion monitoring, and in particular to a background remote multi-point infusion monitoring method based on doctor's advice. Background Art

[0002] In the medical field, infusion therapy is a common and important treatment method. With the rapid development of information technology, the medical field has gradually realized informatization. Medical informatization refers to the process of collecting, storing, processing, transmitting and sharing medical information through information technology to improve the quality and efficiency of medical services. In the context of medical informatization, the entry, storage and transmission of medical orders have become more convenient and efficient, providing a data basis for the background remote multi-point infusion monitoring method based on medical orders.

[0003] In the traditional infusion process, medical staff often adjust the infusion speed based on experience, and it is difficult to ensure that the infusion speed accurately matches the actual needs of the infused patients. This not only leads to low infusion efficiency, but also increases the safety risks of infused patients. In addition, the traditional infusion method lacks a real-time monitoring system, and it is difficult for medical staff to promptly detect abnormal conditions during the infusion process, including infusion speed that is too fast or too slow, and insufficient infusion volume. This will lead to treatment delays and discomfort to the infused patients, and timely and effective targeted adjustments cannot be made after subsequent discoveries. In the actual treatment process, the doctor's orders will be adjusted due to changes in the condition of the infused patients. However, the traditional infusion method is difficult to respond to these changes in a timely manner, resulting in a deviation between the total infusion volume and the target value. In addition, the traditional infusion process requires medical staff to frequently patrol and manually operate, which not only wastes a lot of human resources, but also leads to treatment interruptions due to untimely patrols. Summary of the invention

[0004] The purpose of the present invention is to provide a background remote multi-point infusion monitoring method based on doctor's advice, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution, and the specific implementation steps are as follows: Step 1: Use the data input module to input the corresponding medical order information between multiple points in the medical order background monitoring system, and collect the infusion data in real time; Step 2: Utilize the multi-point computing module to calculate and output the infusion speed V of each infusion patient; Step 3: According to the real-time changes in the doctor's orders, correct the infusion error of each infusion patient, calculate and output the next round of infusion speed V, and perform the next round of infusion speed V for loop feedback. next ; Step 4: Use the monitoring and early warning module to remotely monitor the current infusion speed V in real time, and issue an early warning and make feedback adjustments when the infusion speed V is exceeded; Step 5: The multi-point computing module and the monitoring and early warning module cooperate to monitor and adjust until the infusion of the infused patient is completed; Among them, multiple points refer to all infusion patients receiving infusion in the infusion hall, and each point refers to any infusion patient in the infusion hall; The multi-point calculation module includes a real-time infusion speed adjustment unit, a unit for reflecting the difference between the actual and expected infusion speeds, and a loop feedback adjustment unit.

[0006] Optionally, the equipment used by the data input module includes data storage and processing equipment and sensors; The equipment used in the multi-point computing module includes computer computing equipment; The equipment used by the monitoring and early warning module includes a remote monitoring terminal.

[0007] Optionally, the calculation formula of the real-time adjustment infusion speed unit is as follows: V = [(ML-F) × JS] / YS; YS=(ML-F) / JS; in: V is the infusion rate; ML is the target total infusion volume; F is the current infusion volume; JS is the basic infusion rate, which is set by the doctor's order background monitoring system and is used uniformly for infusion; YS is the estimated remaining infusion time.

[0008] Optionally, the calculation formula of the unit reflecting the difference between the actual and expected infusion speeds is as follows: ; YS new =(ML new -F) / V; in: W is the infusion error correction value; V old The infusion speed of the previous round; ML new The updated target total infusion volume; YS new This is the estimated remaining infusion time after update.

[0009] Optionally, the calculation formula of the loop feedback adjustment unit is as follows: ; B=(VV old ) / T; in: Vnext The infusion speed for the next round; B is the rate of change of infusion rate; T is the time interval, which reflects the difference in infusion time between the previous round and the next round; ML old The total target infusion volume for the previous round.

[0010] Optionally, the adjustment steps based on the loop feedback adjustment unit are as follows: S1, the next round of infusion speed V next As the output value of the infusion speed V in the real-time infusion speed adjustment unit for the next round, it is sequentially input into the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit to perform the calculation of the next round of loop feedback; S2, if the monitoring and warning module issues a request for the next round of infusion speed V next The abnormal warning of monitoring, the real-time adjustment of the infusion speed unit recalculates the current updated infusion speed V new ; S3, the updated infusion speed V new After the abnormal warning is triggered, the unit reflecting the difference between the actual and expected infusion speeds of the adjustment calculation formula and the loop feedback adjustment unit of the original calculation formula are used to output a new infusion speed V for the next round. next .

[0011] Optionally, the calculation formula reflecting the adjustment of the actual and expected infusion speed difference unit is as follows: ; B=(V new -V now ) / T; V new The updated infusion rate; V now The infusion speed when the warning is triggered.

[0012] Optionally, the previous round of infusion speed V old and the previous round target infusion volume ML old They are the infusion rate V in the previous cycle and the updated target infusion volume ML new In the first calculation of the cycle at the beginning of the infusion, the previous round of infusion speed V old and the total target infusion volume ML of the previous round old The value of is 0, and the calculation formula of the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit are adjusted as follows during the first calculation: ; .

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention adjusts the calculation of the infusion speed unit in real time, so that the medical order background monitoring system can adjust the infusion speed V in real time according to the current infusion volume F, the target total infusion volume ML and the basic infusion rate JS, which not only improves the accuracy of infusion, but also ensures the safety and efficiency of the infusion process.

[0014] 2. The present invention can monitor the infusion situation of the infusion patient in real time, and timely discover and warn of abnormal situations in the infusion process by calculating the unit reflecting the difference between the actual and expected infusion speeds, which helps medical staff to take timely measures. Specifically, during the infusion process, when the infusion speed V is abnormal, the monitoring and early warning module monitors and issues an early warning, which will trigger the adjustment of the calculation of the unit reflecting the difference between the actual and expected infusion speeds. In addition, by using remote monitoring and automatic control, the medical order background monitoring system can reduce the frequency of manual operations of medical staff, thereby optimizing the allocation of human resources, improving work efficiency, and reducing the workload of medical staff.

[0015] 3. When the medical order is changed, the medical order background monitoring system of the present invention can quickly adjust the infusion speed V through the calculation of the loop feedback adjustment unit to ensure the consistency of the total infusion amount with the target value, which improves the flexibility and accuracy and timeliness of the monitoring adjustment.

[0016] 4. The real-time infusion speed adjustment unit of the present invention, the unit reflecting the difference between the actual and expected infusion speeds, and the cyclic feedback adjustment unit together constitute a closed-loop feedback adjustment system, which realizes continuous optimization and control of the infusion speed V through continuous iterative calculation and adjustment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A method flow chart of the background remote multi-point infusion monitoring method based on doctor's orders; Figure 2 This is a schematic diagram of the monitoring feedback structure of the background monitoring system of this medical order; Figure 3 It is a structural schematic diagram of a multi-point computing module of the present invention; Figure 4 A schematic diagram of iterative feedback of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] Regarding this background remote multi-point infusion monitoring method based on medical orders, it is different from traditional infusion. The traditional infusion process often relies on manual operation and monitoring by medical staff, which increases the workload of medical staff. In the event of any changes in the medical orders or abnormalities in the infusion, it is difficult to ensure the accuracy and safety of the infusion speed. This algorithm unit monitors the infusion situation of the infused patient in real time and combines it with the control algorithm to achieve precise adjustment of the infusion speed based on the changes, thereby improving the real-time accuracy of remote multi-point infusion monitoring and the timely processing of monitoring effects.

[0020] For example, see Figures 1 to 4 This implementation provides a background remote multi-point infusion monitoring method based on doctor's orders. The specific implementation steps are as follows: Step 1: Use the data input module to input the corresponding medical order information between multiple points in the medical order background monitoring system, and collect the infusion data in real time; Step 2: Utilize the multi-point computing module to calculate and output the infusion speed V of each infusion patient; Step 3: According to the real-time changes in the doctor's orders, correct the infusion error of each infusion patient, calculate and output the next round of infusion speed V, and perform the next round of infusion speed V for loop feedback. next ; Step 4: Use the monitoring and early warning module to remotely monitor the current infusion speed V in real time, and issue an early warning and make feedback adjustments when the infusion speed V is exceeded; Step 5: The multi-point computing module and the monitoring and early warning module cooperate to monitor and adjust until the infusion of the infused patient is completed; Among them, multiple points refer to all infusion patients receiving infusion in the infusion hall, and each point refers to any infusion patient in the infusion hall; The multi-point calculation module includes a real-time infusion speed adjustment unit, a unit reflecting the difference between the actual and expected infusion speeds, and a loop feedback adjustment unit; The equipment used in the data input module includes data storage and processing equipment and sensors; The equipment used in the multi-point computing module includes computer computing equipment; The equipment used in the monitoring and early warning module includes a remote monitoring terminal.

[0021] In summary, the background remote multi-point infusion monitoring method based on medical orders The medical order background monitoring system realizes precise control and remote monitoring of the infusion process through real-time data collection, infusion speed adjustment calculation, infusion error correction calculation and loop feedback adjustment calculation steps, combined with data input, calculation, monitoring and early warning, control modules and units, as well as data storage and processing equipment, sensors, computer computing equipment, and remote monitoring terminal equipment.

[0022] In this embodiment, the system cooperates with the three algorithm units to form a control algorithm for a background remote multi-point infusion monitoring method based on doctor's orders. next The three calculation results ensure the accuracy, efficiency and safety of the infusion process by continuously adjusting and optimizing the infusion speed V. V is the infusion speed, which is calculated based on the real-time infusion data collected by real-time monitoring. The different infusion speeds for each point are calculated for multiple points. W is the infusion error correction value, which is based on the real-time updated doctor's orders to adjust the updated target infusion volume ML. new and the updated estimated remaining infusion time YS new , and then calculate the difference between the actual infusion rate and the expected infusion rate, and adjust the infusion rate V, V of each balance point according to the difference next is the next round of infusion speed, which is the latest adjusted infusion speed, and V next The calculation result will directly iterate the next round of V, which will then affect the feedback to W and V next The three algorithm units play a vital role in the background remote multi-point infusion monitoring system based on doctor's orders. Together, they constitute a closed-loop feedback control system, which ensures that the infused patients receive treatment that meets the doctor's orders and achieves the purpose of precise adjustment of monitoring by accurately calculating and adjusting the infusion speed V.

[0023] See also Figures 1 to 4 , the calculation formula for real-time adjustment of the infusion speed unit is as follows: V = [(ML-F) × JS] / YS; YS=(ML-F) / JS; in: V is the infusion rate; ML is the target total infusion volume; F is the current infusion volume; JS is the basic infusion rate, which is set by the doctor's order background monitoring system and is used uniformly for infusion; YS is the estimated remaining infusion time.

[0024] In this embodiment: First, the calculation part of "(ML-F) / JS" in this algorithm unit is the time required from the current infused volume F to the target infused total volume ML while keeping the basic infusion rate JS unchanged, that is, the estimated remaining infusion time YS is calculated and output according to the current infused volume F, the target infused total volume ML, and the basic infusion rate JS; The real-time infusion speed adjustment unit of this embodiment calculates the difference between the current infusion volume F and the target total infusion volume ML in real time, and combines the basic infusion rate JS and the estimated remaining infusion time YS to accurately obtain the infusion speed V that should be adjusted at present. This calculation method ensures a high degree of match between the infusion patients at each point in the multiple points and the actual needs of the infusion speed V. Specifically, with the doctor's order background monitoring system as the monitoring starting point, each point radiates out and performs targeted infusion speed V calculations for the infusion patients at each point according to their respective doctor's orders.

[0025] In medical practice, changes in the condition of patients receiving infusions lead to frequent adjustments in medical orders. The real-time adjustment of the infusion speed unit introduces the target total infusion volume ML as a variable, so that the medical order background monitoring system can quickly respond to changes in medical orders and dynamically adjust the infusion speed V.

[0026] See also Figures 1 to 4 , the calculation formula reflecting the difference between the actual and expected infusion speed units is as follows: ; YS new =(ML new -F) / V; in: W is the infusion error correction value; V old The infusion speed of the previous round; ML new The updated target total infusion volume; YS new This is the estimated remaining infusion time after update.

[0027] In this embodiment, first, " The calculation part calculates the infusion speed V output by the real-time adjustment infusion speed unit and the previous infusion speed V in the previous cycle. old The square of the difference between the infusion speed V and the previous infusion speed V old The degree of difference in The calculation part calculates the target total infusion volume ML after the update new After infusion at infusion rate V, the actual infusion volume and the updated target infusion volume ML new The square of the difference between the two reflects the estimated remaining infusion time YS after update under the new infusion rate. new The infusion volume at the end of the infusion and the updated target infusion volume ML new The degree of difference in The calculation part considers the ratio of the current infusion volume F to the target infusion volume ML and makes a weighted adjustment on the infusion speed V; The unit reflecting the difference between the actual and expected infusion speeds in this algorithm can comprehensively introduce the infusion speed V, the previous round of infusion speed V old , Updated estimated remaining infusion time YS new 、Updated target infusion volume ML new , the target total infusion volume ML and the current infusion volume F factors are used to accurately calculate the infusion error correction value W. This accuracy ensures the accuracy of the infusion process and reduces under- and over-treatment caused by errors; The unit reflecting the difference between actual and expected infusion speed can cope with a variety of complex situations, such as changes in doctor's orders, changes in the condition of the infusion patient, and adjust and update the estimated remaining infusion time YS new And the updated target total infusion volume ML new , so that the medical order background monitoring system can realize accurate correction of infusion errors, ensure the improvement of the stability of the entire medical order background monitoring system, and by reducing the accumulation of errors, the medical order background monitoring system can maintain smooth operation and ensure the continuity and stability of the infusion process.

[0028] See also Figures 1 to 4 , the calculation formula of the loop feedback adjustment unit is as follows: ; B=(VV old ) / T; in: V next The infusion speed for the next round; B is the rate of change of infusion rate; T is the time interval, which reflects the difference in infusion time between the previous round and the next round; ML old The total target infusion volume for the previous round.

[0029] In this embodiment, the algorithm unit first " The calculation part is based on the infusion speed V, according to the infusion error correction value W, the updated estimated remaining infusion time YS new And the current infusion rate change rate B is adjusted. By introducing the infusion error correction value W and the infusion rate change rate B, the infusion speed V is corrected to obtain an infusion speed closer to the actual situation. The calculation part calculates the change rate of the target total infusion volume ML, which reflects the change degree of the target total infusion volume ML relative to the previous cycle and provides a reference for subsequent speed adjustment, where "B=(VV old ) / T” in the calculation part, the infusion speed V in the previous round of infusion speed V old2. When the time interval T is not used to calculate the change rate, the input parameters for calculation are not unified, but are calculated in real time based on the speed of the current and previous rounds of infusion. The time interval T is also flexibly set based on the time difference between the speed of the current and previous rounds of infusion, so as to fit the monitoring of any point, making the parameters for monitoring calculation more effective. The loop feedback adjustment unit in this algorithm unit introduces the target total infusion volume ML of the previous round old and the current updated target infusion volume ML new The difference between the infusion error correction value W and the infusion rate V of the next round are realized. next This calculation method forms a closed-loop feedback system, which enables the system to automatically adjust the infusion speed according to the current situation, thus improving the automation level of the infusion process. The introduction of a closed-loop feedback system enables the medical order background monitoring system to operate more robustly in the face of various uncertainties. Even if various emergencies occur during the actual infusion process, the medical order background monitoring system can ensure the smooth progress of the infusion process through continuous adjustment and optimization.

[0030] See also Figures 1 to 4 , the adjustment steps based on the loop feedback adjustment unit are as follows: S1, the next round of infusion speed V next As the output value of the infusion speed V in the next round of real-time adjustment of the infusion speed unit, it is sequentially input into the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit to perform the calculation of the next round of loop feedback; S2, if the monitoring and warning module issues a request for the next round of infusion speed V next The abnormal warning of monitoring, real-time adjustment of the infusion speed unit recalculates the current updated infusion speed V new ; S3, the updated infusion speed V new After the abnormal warning is triggered, the calculation formula is adjusted to reflect the difference between the actual and expected infusion speeds and the loop feedback adjustment unit of the original calculation formula, and a new infusion speed V for the next round is output. next ; The calculation formula to reflect the difference between actual and expected infusion rate is as follows: ; B=(V new -V now ) / T; V new The updated infusion rate; V now The infusion speed when the warning is triggered.

[0031] In this embodiment, when the infusion patient starts the infusion, the estimated remaining infusion time YS is calculated according to the current infusion volume F, the target total infusion volume ML, and the basic infusion rate JS. This is achieved by adjusting the infusion speed unit in real time. The infusion speed V calculated by the real-time adjustment infusion speed unit is actually the initial infusion speed, which is based on the physical condition of the infusion patient, the doctor's order requirements, and the preset parameters of the doctor's order background monitoring system. As the infusion progresses, the doctor's order background monitoring system will continuously monitor the current infusion volume F and update the target total infusion volume ML as needed. new At the same time, the doctor's order background monitoring system will use the unit reflecting the difference between the actual and expected infusion speeds to calculate the infusion error correction value W, which reflects the difference between the actual infusion speed and the expected infusion speed. Next, the doctor's order background monitoring system will use the loop feedback adjustment unit to calculate the next round of infusion speed V next , this speed is calculated based on the current infusion speed V, the infusion error correction value W and other related parameters. In the subsequent cycles, the real-time adjustment of the infusion speed unit itself does not change directly. It is still used to calculate the infusion speed V, but the input parameters have changed at this time. The target infusion volume ML has been updated to the updated target infusion volume ML new , and the estimated remaining infusion time YS will be replaced by the updated estimated remaining infusion time YS new On this basis, when the monitoring and early warning module detects the next round of infusion speed V next If an alarm is issued, it means that an abnormal infusion speed has occurred during the infusion process. Then, when entering the next round of calculation, the unit reflecting the difference between the actual and expected infusion speed will be adjusted to " ", and then to meet the calculation of abnormal situations, the original calculation formula "B=(VV old ) / T” will be changed to “B=(V new -V now ) / T” is used to calculate the rate of change reflecting the current abnormal situation, and in “ "In the calculation of the infusion speed V, the infusion speed V will be updated. new Replaced by.

[0032] During the entire infusion process, the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit will continuously adjust the infusion speed V according to the current situation and the change of the target total infusion volume. The unit reflecting the difference between the actual and expected infusion speeds calculates the infusion error correction value W to reflect the difference between the actual infusion speed and the expected infusion speed, and adjusts the infusion speed V accordingly. The loop feedback adjustment unit calculates the next round of infusion speed V according to the infusion error correction value W, the current infusion speed V and other relevant parameters. next ; Through this closed-loop feedback adjustment mechanism, the doctor's order background monitoring system can continuously adjust the infusion speed according to the current situation and the change of the target total infusion amount, so as to ensure that the infusion can be completed according to the scheduled time and quality. This is of great significance to improving the accuracy and safety of infusion. Among them, the patient's unauthorized change of the infusion rate will directly affect the accuracy of the infusion process. Through the early warning of the monitoring and early warning module, and the adjustment of the unit reflecting the difference between the actual and expected infusion speeds, it can be ensured that when the patient changes the infusion rate, the doctor's order background monitoring system can recalculate and adjust the infusion speed that meets the doctor's order requirements. In this way, even if the patient tries to change the infusion process by adjusting the infusion rate by himself, the doctor's order background monitoring system can correct it in time to ensure the accuracy and stability of the infusion. Combined with the calculation logic of the real-time infusion speed adjustment unit, the unit reflecting the difference between the actual and expected infusion speeds, and the loop feedback adjustment unit, the doctor's order background monitoring system can predict and warn of potential infusion problems. Once a problem is found, the doctor's order background monitoring system can automatically adjust the infusion speed V and send an alarm to medical staff so that intervention measures can be taken in time. This intelligent management method effectively reduces medical risks and improves patient safety. To sum up, in the specific implementation process, by forming a closed-loop feedback system, the loop feedback adjustment unit enhances the reliability of the system. Even if various uncertain factors are encountered in the actual infusion process, including changes in the condition of the infused patient and changes in the doctor's orders, the doctor's order background monitoring system can ensure the smooth progress of the infusion process through continuous adjustment and optimization. This stability is of great significance to improving medical quality and patient satisfaction. When the patient changes the infusion rate without authorization during the infusion process, the relevant calculation formula is adjusted and early warning adjustments are added, which not only improves the accuracy and safety of the infusion process, but also improves accurate, timely and effective monitoring.

[0033] For example 2, please refer to Figures 1 to 4 , the last round of infusion speed V old and the previous round of target infusion volume ML old They are the infusion rate V in the previous cycle and the updated target infusion volume ML new , in the first calculation of the cycle at the beginning of the infusion, the infusion rate V of the previous round old and the previous round of target infusion volume ML old The value of is 0, reflecting that the calculation formula of the actual and expected infusion rate difference unit and the loop feedback adjustment unit are adjusted as follows during the first calculation: ; .

[0034] In this embodiment, when the infusion patient is in the initial state of infusion, in addition to using the real-time infusion speed adjustment unit to calculate and output an initial infusion speed V, it will also cooperate with the " "as well as" ", complete the initial calculation of the loop feedback, and then in the process of loop calculation adjustment, the previous round of infusion speed V can be collected old and the previous round of target infusion volume ML old , and perform the introduction calculation of the previous round of parameters.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A background remote multi-point infusion monitoring method based on doctor's advice, characterized in that: The specific implementation steps are as follows: Step 1: Use the data input module to input the corresponding medical order information between multiple points in the medical order background monitoring system, and collect the infusion data in real time; Step 2: Utilize the multi-point computing module to calculate and output the infusion speed V of each infusion patient; Step 3: According to the real-time changes in the doctor's orders, correct the infusion error of each infusion patient, calculate and output the next round of infusion speed V, and perform the next round of infusion speed V for loop feedback. next ; Step 4: Use the monitoring and early warning module to remotely monitor the current infusion speed V in real time, and issue an early warning and make feedback adjustments when the infusion speed V is exceeded; Step 5: The multi-point computing module and the monitoring and early warning module cooperate to monitor and adjust until the infusion of the infused patient is completed; Among them, multiple points refer to all infusion patients receiving infusion in the infusion hall, and each point refers to any infusion patient in the infusion hall; The multi-point calculation module includes a real-time infusion speed adjustment unit, a unit for reflecting the difference between the actual and expected infusion speeds, and a loop feedback adjustment unit.

2. The background remote multi-point infusion monitoring method based on medical advice according to claim 1 is characterized in that: The equipment used in the data input module includes data storage and processing equipment and sensors; The equipment used in the multi-point computing module includes computer computing equipment; The equipment used by the monitoring and early warning module includes a remote monitoring terminal.

3. The background remote multi-point infusion monitoring method based on medical advice according to claim 2 is characterized in that: The calculation formula of the real-time adjustment infusion speed unit is as follows: V = [(ML-F) × JS] / YS; YS=(ML-F) / JS; in: V is the infusion rate; ML is the target total infusion volume; F is the current infusion volume; JS is the basic infusion rate, which is set by the doctor's order background monitoring system and is used uniformly for infusion; YS is the estimated remaining infusion time.

4. The background remote multi-point infusion monitoring method based on medical advice according to claim 3 is characterized in that: The calculation formula reflecting the difference between the actual and expected infusion speed units is as follows: ； Y.S. new =(ML new -F) / V; in: W is the infusion error correction value; V old The infusion speed of the previous round; ML new The updated target total infusion volume; YS new This is the estimated remaining infusion time after update.

5. The background remote multi-point infusion monitoring method based on medical advice according to claim 4 is characterized in that: The calculation formula of the loop feedback adjustment unit is as follows: ； B=(V-V old ) / T; in: V next The infusion speed for the next round; B is the rate of change of infusion rate; T is the time interval, which reflects the difference in infusion time between the previous round and the next round; ML old The total target infusion volume for the previous round.

6. The background remote multi-point infusion monitoring method based on medical advice according to claim 5 is characterized in that: The adjustment steps based on the loop feedback adjustment unit are as follows: S1, the next round of infusion speed V next As the output value of the infusion speed V in the real-time infusion speed adjustment unit for the next round, it is sequentially input into the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit to perform the calculation of the next round of loop feedback; S2, if the monitoring and warning module issues a request for the next round of infusion speed V next The abnormal warning of monitoring, the real-time adjustment of the infusion speed unit recalculates the current updated infusion speed V new ; S3, the updated infusion speed V new After the abnormal warning is triggered, the unit reflecting the difference between the actual and expected infusion speeds of the adjustment calculation formula and the loop feedback adjustment unit of the original calculation formula are used to output a new infusion speed V for the next round. next .

7. The background remote multi-point infusion monitoring method based on medical advice according to claim 6 is characterized in that: The calculation formula reflecting the adjustment of the actual and expected infusion speed difference unit is as follows: ； B=(V new -V now ) / T; V new The updated infusion rate; V now The infusion speed when the warning is triggered.

8. The background remote multi-point infusion monitoring method based on medical advice according to claim 6, characterized in that: The previous round of infusion speed V old and the previous round target infusion volume ML old They are the infusion rate V in the previous cycle and the updated target infusion volume ML new In the first calculation of the cycle at the beginning of the infusion, the previous round of infusion speed V old and the previous round target infusion volume ML old The value of is 0, and the calculation formula of the unit reflecting the difference between the actual and expected infusion speeds and the loop feedback adjustment unit are adjusted as follows during the first calculation: ； 。

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