CN116077765A - Infusion system and storage medium - Google Patents
Infusion system and storage medium Download PDFInfo
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- CN116077765A CN116077765A CN202211698558.2A CN202211698558A CN116077765A CN 116077765 A CN116077765 A CN 116077765A CN 202211698558 A CN202211698558 A CN 202211698558A CN 116077765 A CN116077765 A CN 116077765A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/142—Pressure infusion, e.g. using pumps
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/16804—Flow controllers
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/16877—Adjusting flow; Devices for setting a flow rate
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/16886—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body for measuring fluid flow rate, i.e. flowmeters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/172—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic
- A61M5/1723—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic using feedback of body parameters, e.g. blood-sugar, pressure
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/142—Pressure infusion, e.g. using pumps
- A61M2005/14208—Pressure infusion, e.g. using pumps with a programmable infusion control system, characterised by the infusion program
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M2205/00—General characteristics of the apparatus
- A61M2205/50—General characteristics of the apparatus with microprocessors or computers
- A61M2205/52—General characteristics of the apparatus with microprocessors or computers with memories providing a history of measured variating parameters of apparatus or patient
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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Abstract
The invention discloses an infusion system and a storage medium. The infusion system includes: the information acquisition module is used for acquiring first information, second information and infusion pump parameter data corresponding to the patient under the condition that an information acquisition instruction is received; the data processing module is used for inputting the first information, the second information and the infusion pump parameter data into the trained neural network model to obtain a target infusion speed; determining a current infusion strategy based on the target infusion speed and the current infusion speed, and sending the current infusion strategy to a corresponding infusion pump; and the infusion pump is used for executing the infusion operation corresponding to the current infusion strategy. The purpose of automatically and accurately adjusting the infusion speed of the infusion pump is achieved, and the safety of infusion of patients is improved.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to an infusion system and a storage medium.
Background
In the process of patient transfusion, if transfusion speed is too fast, adverse reactions such as pulsating headache, facial flushing, blood pressure drop, heart rate acceleration, syncope and the like can be caused, if the speed is too slow, enough medicine can not be timely input for a patient, so that in the process of patient transfusion, medical staff is required to timely adjust the transfusion speed according to the condition of the patient, but when the doctor-patient proportion is seriously disordered, the response speed of the medical staff is delayed, and therefore, the transfusion system capable of automatically adjusting the transfusion speed of a transfusion pump is required to be provided.
Disclosure of Invention
The invention provides an infusion system and a storage medium, which are used for solving the problem that medical staff can not adjust infusion speed in time.
According to an aspect of the present invention, there is provided an infusion system comprising:
the information acquisition module is used for acquiring first information, second information and infusion pump parameter data of a corresponding patient under the condition of receiving an infusion instruction, wherein the first information comprises age, past medical history and diagnosis information read from a patient information system, the second information comprises vital sign data acquired from clinical monitoring equipment, and the infusion pump parameter data comprises the current infusion speed;
the data processing module is used for inputting the first information, the second information and the infusion pump parameter data into the trained neural network model to obtain a target infusion speed; determining a current infusion strategy based on the target infusion speed and the current infusion speed, and sending the current infusion strategy to a corresponding infusion pump;
and the infusion pump is used for executing the infusion operation corresponding to the current infusion strategy.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to execute:
under the condition that an infusion instruction is received, acquiring first information, second information and infusion pump parameter data of a corresponding patient, wherein the first information comprises age, past medical history and diagnosis information read from a patient information system, the second information comprises vital sign data acquired from clinical monitoring equipment, and the infusion pump parameter data comprises the current infusion speed;
inputting the first information, the second information and the infusion pump parameter data into a trained neural network model to obtain a target infusion speed; and determining a current infusion strategy based on the target infusion speed and the current infusion speed, and sending the current infusion strategy to a corresponding infusion pump.
According to the technical scheme of the infusion system provided by the embodiment of the invention, the first information, the second information and the infusion pump parameter data of the patient are analyzed in real time through the trained neural network model to obtain the target infusion speed, and the target infusion speed is the infusion speed determined based on the multi-azimuth information of the patient, so that the accuracy of the current infusion strategy determined according to the target infusion speed and the current infusion speed in the infusion pump parameters is higher, and the purpose of accurately monitoring and adjusting the infusion speed of the patient in real time is realized.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of an infusion system provided in accordance with an embodiment of the present invention;
fig. 2 is a block diagram of another infusion system provided in accordance with an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and "third," etc. in the description and claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a block diagram of an infusion system provided in accordance with an embodiment of the present invention. This embodiment may be applied to a scenario of automatically adjusting the infusion speed of a patient, as shown in fig. 1, the infusion system includes: an information acquisition module 101, a data processing module 102 and an infusion pump 103. The information acquisition module 101 is configured to acquire first information, second information and infusion pump parameter data corresponding to a patient, where the first information includes age, past medical history and diagnosis information read from a patient information system, the second information includes vital sign data acquired from a clinical monitoring device, and the infusion pump parameter data includes a current infusion speed; the data processing module 102 is used for inputting the first information, the second information and the infusion pump parameter data into the trained neural network model to obtain a target infusion speed; determining a current infusion strategy based on the target infusion speed and the current infusion speed, and transmitting the current infusion strategy to the corresponding infusion pump 103; the infusion pump 103 is used to perform an infusion operation corresponding to the current infusion strategy.
The patient information system may be associated with a hospital information system (Hospital Information System, HIS) or laboratory (clinical laboratory) information system (Laboratory Information System, LIS) for information collection, storage, transfer, statistics, analysis, comprehensive query, report output, and information sharing, providing comprehensive and accurate data in time.
In one embodiment, the first information includes one or more of gender, height, weight, and clinical examination results in addition to age, past medical history, and diagnostic information.
Diagnostic information refers to the most recent clinical diagnostic information of the patient, including one or more of surgical identification, medication identification, disease identification, and allergy history.
Wherein the clinical monitoring device includes, but is not limited to, one or more of a thermometer, an oximetry monitor, an electrocardiographic monitoring device, a blood pressure meter, and a ventilator. The thermometer is used for acquiring the body temperature of the patient in real time, the blood oxygen monitor is at least used for acquiring the blood oxygen saturation of the patient in real time, and the electrocardiograph monitoring equipment is at least used for acquiring the heart rate of the patient in real time and can be used for acquiring an electrocardiogram of the patient if necessary; the sphygmomanometer is used for acquiring real-time blood pressure of a patient.
In one embodiment, the infusion pump parameter data includes a current infusion rate and an infusion pump identification. The control modes corresponding to different infusion pumps are different, for example, the infusion speed corresponding to the infusion gear a1 of the infusion pump A may be greater than the infusion speed corresponding to the infusion gear B1 of the infusion pump B. Therefore, the corresponding relation between the infusion gear of each infusion pump mark and the infusion speed is pre-established, so that when the target infusion speed is different from the current infusion speed and the target infusion speed is smaller than the set threshold, the data processing module 102 determines the infusion gear corresponding to the target infusion speed according to the corresponding relation between the target infusion speed and the infusion gear corresponding to the infusion pump mark and the infusion speed, and takes the infusion gear as the current infusion strategy; the infusion pump 103 adjusts the infusion gear to the infusion gear corresponding to the current infusion strategy. The technical effect of controlling the infusion pumps 103 of different types to accurately perform infusion operation is achieved.
The embodiment of the invention realizes the purpose of accurately changing the infusion speed in real time according to different individual differences, disease conditions differences and vital sign change trend of patients during infusion, can meet the infusion requirements of various patients, for example, can help patients to recover quickly and effectively for severe patients, and can reduce the workload of medical staff.
In one embodiment, the infusion contents used in clinic are divided into several types in advance, and a neural network model is trained for each type of infusion contents to improve the accuracy of the target infusion speed determination. When in transfusion, the information acquisition module 101 also needs to acquire a liquid identifier; the data processing module 102 determines the liquid type corresponding to the liquid identifier according to the corresponding relation between the liquid identifier and the liquid identifier which is created in advance and the liquid type; and determining a trained neural network model corresponding to the liquid type, and inputting the first information, the second information and the infusion pump parameter data into the trained neural network model to obtain the target infusion speed. In this embodiment, the liquid identification is used to distinguish between different liquids, such as liquid containing a C drug, liquid containing a D drug, and plasma. In this embodiment, the fluid identification may be entered by a healthcare worker through an input device or mobile end 104 of the infusion pump 103 (see FIG. 2). When a medical staff inputs a liquid identifier through the mobile terminal 104, authentication needs to be performed first, after the authentication is passed, the information acquisition module 101 receives the input liquid identifier, and then sends the liquid identifier to the data processing module 102.
In one embodiment, the infusion system includes at least two infusion pumps 103, different infusion pumps 103 corresponding to different patients, and the at least two infusion pumps 103 may be operated simultaneously.
In one embodiment, the data processing module 102 is specifically configured to determine a score of the vital sign data and a threshold range identifier corresponding to the score; if the threshold range identification is the first identification, the first information, the second information and the infusion pump parameter data are input into a trained neural network model to obtain the target infusion speed. In this embodiment, if the identifier of the threshold range to which the vital sign data corresponding score belongs is the first identifier, it is indicated that the vital sign data is normal.
In one embodiment, if the threshold range identifier is a second identifier, outputting first prompt information for representing that vital sign data is abnormal, inputting the first information, the second information and infusion pump parameter data into a trained neural network model to obtain a target infusion speed, and determining a current infusion strategy according to the target infusion speed and the current infusion speed; if the threshold range identification is the third identification, outputting second prompt information for representing that vital sign data are abnormal; the infusion pump 103 is configured to output the first prompt message and execute the current infusion policy when the first prompt message is detected; and outputting the second prompt information and stopping the current transfusion operation under the condition that the second prompt information is detected. In this embodiment, if the identifier of the threshold range to which the vital sign data corresponds to the score belongs is the second identifier, it is indicated that there is an abnormality in the vital sign data, but the abnormality does not endanger the patient's life, and if the identifier of the threshold range to which the vital sign data corresponds to the score is the third identifier, it is indicated that the vital sign data is abnormal, and the abnormality endangers the patient's life. The embodiment configures corresponding processing strategies for vital sign data under different conditions, and achieves the purposes of locking risk factors in time and outputting early warning information in time.
After detecting the vital sign data acquired by the information acquisition module 101, the data processing module 102 compares the vital sign data with reference vital sign data in a preset medical database, and determines a score of the vital sign data according to the comparison result. Specifically, for each vital sign data, subtracting reference vital sign data in a preset medical database from the vital sign data, then determining the ratio of the difference value to the reference vital sign data, and determining the score corresponding to the ratio according to the ratio and the corresponding relation between the ratio and the score, which are created in advance; the average value of all vital sign data is used as the score of the vital sign data of the corresponding patient, or when the score of any vital sign data is lower than a set threshold value, the lowest value of all vital sign data is used as the score of the vital sign data of the corresponding patient. And unifying the evaluation standards of the vital sign data through grading.
In one embodiment, the data processing module 102 is further configured to determine, if infusion pump parameter data is received, whether the infusion pump parameter data is greater than a set parameter threshold; if yes, outputting a third prompt message for indicating that the parameter data of the infusion pump exceeds the limit to the infusion pump 103; the infusion pump 103 is further configured to perform a pause infusion operation in the event that the third prompt is detected. The data processing module 102, once finding that the infusion pump parameter data is greater than the set parameter threshold, indicates that the infusion pump 103 is abnormal, and therefore outputs third prompt information for indicating that the infusion pump parameter data exceeds the limit; when the infusion pump 103 receives the third prompt message, the infusion operation is stopped. The infusion pump parameter can be infusion speed or infusion pressure. This embodiment is used to ensure that the infusion pump 103 does not experience excessive infusion speed due to anomalies in the infusion pump 103 during infusion.
In one embodiment, the information acquisition module 101 is further configured to acquire an infusion speed change threshold; taking the infusion speed obtained under the condition of receiving the initial signal as the initial infusion speed; the data processing module 102 is further configured to output a prompt message for indicating that the infusion speed change exceeds the threshold value when the difference between the current infusion speed and the initial infusion speed is greater than the threshold value of the infusion speed change. Because the infusion speed is adjusted in real time according to the physical condition of the patient, when the difference between the current infusion speed and the initial infusion speed is larger than the infusion speed change threshold, the physical condition of the patient is indicated to be changed greatly, and prompt information for indicating that the infusion speed change exceeds the limit is output, so that doctors pay attention to the physical condition of the patient. In this embodiment, the data processing module 102 pushes the prompt message to a setting terminal, such as a medical staff account subscribed to the patient message or a client of a care center in the district where the attending physician is located.
In one embodiment, the information acquisition module 101 is further configured to receive infusion rate limiting information; the data processing module 102 is further configured to set the infusion speed corresponding to the infusion speed limit information as the target infusion speed when the infusion speed corresponding to the infusion speed limit information is less than the target infusion speed. The infusion rate limiting information may be input by a user through an input device of the infusion pump, or may be input by a user through the mobile terminal 104.
In one embodiment, the infusion pump 103 is configured to, upon detection of an infusion instruction, send an information acquisition instruction to the information acquisition module 101, the information acquisition instruction comprising an infusion pump identification; the information acquisition module 101 determines a patient identifier corresponding to the infusion pump identifier according to the infusion pump identifier and a pre-stored correspondence relationship between the patient identifier and the infusion pump identifier, and then acquires first information, second information and infusion pump parameter data of a patient of the patient identifier from a patient information system. In this embodiment, the infusion pump 103 is specifically configured to: an infusion instruction is generated when the user is detected to press (or touch) the infusion start key.
In one embodiment, FIG. 2 is a block diagram of another infusion system provided in accordance with an embodiment of the present invention. As shown in fig. 2, the infusion system further includes a mobile end 104, where the mobile end 104 is configured to receive an infusion pump identifier and an infusion instruction for controlling an infusion pump corresponding to the infusion pump identifier, and send an information acquisition instruction to the information acquisition module 101 according to the infusion instruction. The information acquisition instruction comprises an infusion pump identifier; the information acquisition module 101 determines a patient identifier corresponding to the infusion pump identifier according to the infusion pump identifier and a pre-stored correspondence relationship between the patient identifier and the infusion pump identifier, and then acquires first information, second information and infusion pump parameter data of a patient of the patient identifier from a patient information system. In this embodiment, the healthcare worker may query infusion pump parameter data for all patients within the scope of authority through mobile terminal 104.
According to the technical scheme of the infusion system provided by the embodiment of the invention, the first information, the second information and the infusion pump parameters of the patient are analyzed in real time through the trained neural network model to obtain the target infusion speed, and the target infusion speed is the infusion speed determined based on the multi-azimuth information of the patient, so that the accuracy of the current infusion strategy determined according to the target infusion speed and the current infusion speed in the infusion pump parameters is higher, and the purpose of accurately monitoring and adjusting the infusion speed of the patient in real time is realized.
The various embodiments of the infusion systems described herein above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
The computer program for implementing the infusion control method of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine or partly on the machine, partly on the machine and partly on a remote machine or entirely on the remote machine or server as a stand-alone software package.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. An infusion system, comprising:
the information acquisition module is used for acquiring first information, second information and infusion pump parameter data of a corresponding patient under the condition that an information acquisition instruction is received, wherein the first information comprises age, past medical history and diagnosis information read from a patient information system, the second information comprises vital sign data acquired from clinical monitoring equipment, and the infusion pump parameter data comprises current infusion speed;
the data processing module is used for inputting the first information, the second information and the infusion pump parameter data into a trained neural network model to obtain a target infusion speed; determining a current infusion strategy based on the target infusion speed and the current infusion speed, and sending the current infusion strategy to a corresponding infusion pump;
and the infusion pump is used for executing the infusion operation corresponding to the current infusion strategy.
2. The infusion system of claim 1, wherein,
the information acquisition module is also used for acquiring a liquid identifier;
the data processing module is specifically used for determining the liquid type corresponding to the liquid identifier according to the corresponding relation between the liquid identifier and the liquid identifier which is created in advance and the liquid type; and determining a trained neural network model corresponding to the liquid type, and inputting the first information, the second information and the infusion pump parameter data into the trained neural network model to obtain a target infusion speed.
3. The infusion system of claim 1, wherein the data processing module is specifically configured to:
determining a score of the vital sign data and a threshold range identifier corresponding to the score;
and if the threshold range identifier is a first identifier, inputting the first information, the second information and the infusion pump parameter data into a trained neural network model to obtain a target infusion speed.
4. The infusion system of claim 3, wherein the data processing module is further specifically configured to:
if the threshold range identification is the second identification, outputting first prompt information for representing vital sign data abnormality, and inputting the first information, the second information and the infusion pump parameter data into a trained neural network model to obtain a target infusion speed;
if the threshold range identifier is a third identifier, outputting second prompt information for representing that vital sign data are abnormal;
the infusion pump is further used for outputting the first prompt information under the condition that the first prompt information is detected; and outputting the second prompt information and stopping the current transfusion operation under the condition that the second prompt information is detected.
5. The infusion system of claim 3, wherein the determining the score for the vital sign data comprises:
comparing the vital sign data with reference vital sign data in a preset medical database, and determining the scores of the vital sign data according to the comparison result.
6. The infusion system of claim 1, wherein,
the data processing module is further used for determining whether the infusion pump parameter data is larger than a set parameter threshold value or not under the condition that the infusion pump parameter data is received; if yes, outputting a third prompt message for indicating that the parameter data of the infusion pump exceeds the limit to the infusion pump;
the infusion pump is further used for executing the operation of suspending infusion under the condition that the third prompt message is detected.
7. The infusion system of claim 1, wherein,
the information acquisition module is also used for acquiring an infusion speed change threshold value; taking the infusion speed obtained under the condition of receiving the initial signal as the initial infusion speed;
the data processing module is also used for outputting prompt information for indicating that the infusion speed change exceeds the limit under the condition that the difference value between the current infusion speed and the initial infusion speed is larger than the infusion speed change threshold value.
8. The infusion system of claim 1, wherein,
the infusion pump is configured to send an information acquisition instruction to the information acquisition module if an infusion instruction is detected.
9. The infusion system of claim 1, further comprising:
the mobile terminal is used for receiving the infusion pump identification and an infusion instruction for controlling the infusion pump corresponding to the infusion pump identification to infuse, and sending an information acquisition instruction to the information acquisition module according to the infusion instruction.
10. A computer readable storage medium storing computer instructions for causing a processor to execute an infusion control method comprising:
under the condition that an information acquisition instruction is received, acquiring first information, second information and infusion pump parameter data of a corresponding patient, wherein the first information comprises age, past medical history and diagnosis information read from a patient information system, the second information comprises vital sign data acquired from clinical monitoring equipment, and the infusion pump parameter data comprises current infusion speed;
inputting the first information, the second information and the infusion pump parameter data into a trained neural network model to obtain a target infusion speed; determining a current infusion strategy based on the target infusion speed and the current infusion speed, and sending the current infusion strategy to a corresponding infusion pump.
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