CN113893407A - Infusion set and system of intelligence early warning - Google Patents
Infusion set and system of intelligence early warning Download PDFInfo
- Publication number
- CN113893407A CN113893407A CN202111201952.6A CN202111201952A CN113893407A CN 113893407 A CN113893407 A CN 113893407A CN 202111201952 A CN202111201952 A CN 202111201952A CN 113893407 A CN113893407 A CN 113893407A
- Authority
- CN
- China
- Prior art keywords
- infusion
- data
- early warning
- server
- mqtt
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001802 infusion Methods 0.000 title claims abstract description 170
- 239000003814 drug Substances 0.000 claims abstract description 30
- 238000001514 detection method Methods 0.000 claims abstract description 25
- 238000000034 method Methods 0.000 claims abstract description 25
- 239000007788 liquid Substances 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 16
- 239000008280 blood Substances 0.000 claims abstract description 10
- 210000004369 blood Anatomy 0.000 claims abstract description 10
- 230000008961 swelling Effects 0.000 claims abstract description 10
- 230000005484 gravity Effects 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000004364 calculation method Methods 0.000 claims abstract description 5
- 238000007726 management method Methods 0.000 claims description 18
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 2
- 230000000694 effects Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 9
- 229940079593 drug Drugs 0.000 description 8
- 230000002159 abnormal effect Effects 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- -1 dosage Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000033772 system development Effects 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Images
Classifications
-
- 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
- A61M5/16831—Monitoring, detecting, signalling or eliminating infusion flow anomalies
- A61M5/1684—Monitoring, detecting, signalling or eliminating infusion flow anomalies by detecting the amount of infusate remaining, e.g. signalling end of infusion
- A61M5/16845—Monitoring, detecting, signalling or eliminating infusion flow anomalies by detecting the amount of infusate remaining, e.g. signalling end of infusion by weight
-
- 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
- A61M5/1407—Infusion of two or more substances
-
- 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
- A61M5/16827—Flow controllers controlling delivery of multiple fluids, e.g. sequencing, mixing or via separate flow-paths
-
- 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
- A61M5/16831—Monitoring, detecting, signalling or eliminating infusion flow anomalies
-
- 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
- A61M5/1689—Drip counters
Abstract
The application discloses infusion set and system of intelligence early warning, wherein infusion set includes: the infusion detection module is used for acquiring gravity information of the medicine and obtaining liquid quantity data and dripping speed data of the residual medicine through calculation, and the infusion detection module can report the acquired data to the MQTT server; the MQTT server is used for transferring the acquired data to the infusion server and decoupling the connection between hardware and the infusion server; and the infusion server is used for analyzing and processing the received data and realizing the uniform monitoring and early warning of the whole infusion process. The infusion set and the system of intelligence early warning that this application embodiment provided can realize whole unified control of infusion and early warning to initial volume, surplus, the beginning and the finish time of each bottle medicine in the ability detailed record infusion process, the details of using medicine reach the effect that medical personnel's swelling needle, blood return, bottle change, needle are reminded to intelligence.
Description
Technical Field
The invention relates to the technical field of intelligent infusion, in particular to an intelligent early warning infusion device and system.
Background
Medical resources of the current society are very nervous, and often a medical care personnel needs to attend to a large number of patients, so that the response cannot be made in time according to the state of infusion, and various potential safety hazards are brought to the patients. Meanwhile, the problem of medical alarm in the society brings serious trouble to medical care personnel. Therefore, the research and the invention of the intelligent transfusion system which can monitor the transfusion flow in real time, send out safety early warning in time and record the whole transfusion process have great significance and social value.
Existing infusion systems are divided into two categories: one is that after the traditional infusion apparatus is connected with a medicine bottle, the patient is directly infused, the key information in the infusion process cannot be recorded, and the information such as the residual amount and the like needs to be monitored by a single person; the other is that the medicine bottle is placed on a specific device, various sensors are arranged in the device, and after the information such as the residual quantity, the dropping speed and the like of the current medicine is monitored and displayed, the device can only send out early warning information of equipment abnormity.
These two kinds of infusion sets can't realize the real time unified control of nurse's station to and can't record the details of using medicine and issue swollen needle, blood return, trade the bottle, pull out the needle early warning, in case medical staff is a little far away, will have potential medical risk.
Disclosure of Invention
The invention aims to solve the technical problem that an intelligent early warning infusion device and system are provided aiming at the defects of the prior art, so that the unified monitoring and early warning of the whole infusion process are realized, the initial quantity, the residual quantity, the starting time, the ending time and the medication details of each bottle of medicine in the infusion process are recorded in detail, and the effects of intelligently reminding medical staff of needle swelling, blood returning, bottle changing and needle pulling are achieved.
In a first aspect, the present application provides an intelligent early warning infusion device, the device comprising: the infusion detection module is used for acquiring gravity information of the medicine and obtaining liquid quantity data and dripping speed data of the residual medicine through calculation, and the infusion detection module can report the acquired data to the MQTT server; the MQTT server is used for transferring the acquired data to the infusion server and decoupling the connection between hardware and the infusion server; and the infusion server is used for analyzing and processing the received data and realizing the uniform monitoring and early warning of the whole infusion process.
In a possible embodiment, the apparatus further comprises: a concentrator configured to centrally manage the addition of the infusion detection modules to the network of the concentrator.
In a possible embodiment, the concentrator is further configured to, after receiving the data actively reported by the infusion detection module, treat the data as valid data and send complete protocol data to the MQTT server, where the valid data includes but is not limited to: residual liquid amount, dropping speed, bottle number and electric quantity.
In a possible implementation manner, the MQTT server is further configured to configure a corresponding theme and a user password in the MQTT server background and the infusion server, and the data reported by the concentrator can be monitored by configuring the corresponding theme and the user password.
In one possible embodiment, the infusion server further comprises: MQTT analysis module, early warning module, infusion management module, equipment management module, system setting module.
In one possible embodiment, the MQTT parsing module is configured to configure connection attributes of the MQTT server, where the connection attributes include, but are not limited to: monitoring data from the MQTT server through a system, filtering non-set theme data, analyzing each byte data of the filtered theme data according to a defined protocol, finding the analyzed byte data from a database through a node ID to obtain a corresponding hardware equipment record, and storing the byte data.
In one possible implementation mode, the early warning module is used for realizing needle swelling early warning, bottle changing early warning, needle pulling early warning and blood return early warning by comprehensively calculating the remaining liquid amount, the dropping speed and the transfusion time, and inquiring the transfusion single state bound to the node ID by analyzing MQTT protocol data transmitted by hardware so as to realize abnormal early warning and low-power early warning.
In a possible implementation manner, the infusion management module is used for adding an infusion list, the states of the infusion list comprise the beginning of infusion, the cancellation of infusion and the ending of infusion, the infusion list in infusion is closed after the hardware device prompts needle withdrawal, the state of the infusion list is automatically updated to be completed, and the infusion data are all stored in the database. The device management module is used for adding devices and binding devices, the adding devices are used for establishing device records by taking device IDs as unique indexes, and the binding devices are used for binding the sickbed numbers of the devices and storing the sickbed numbers into database records of the devices.
In one possible embodiment, the system management module is used for setting the remaining liquid amount, the dropping speed and the distance infusion end time as early warning thresholds.
In a second aspect, the present application provides an intelligent pre-warning infusion system, comprising: the intelligent pre-warning infusion device and remote monitoring platform of any one of claims 1-10, wherein:
the remote monitoring platform is used for realizing the transfusion monitoring of the patient according to the volume information and the detection time information of the residual liquid in the corresponding transfusion bottle sent by the transfusion detection device, and intelligently sending out the early warning of needle swelling, blood returning, bottle changing and needle pulling.
The application provides a infusion set and system of intelligence early warning can realize whole unified control of infusion and early warning to can the data such as initial volume, surplus, the time of beginning and ending, the details of using medicine of each bottle medicine in the detailed record infusion in-process.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a block diagram of an intelligent early warning infusion system according to an exemplary embodiment of the present application;
FIG. 2 is a block diagram of an infusion server provided in an exemplary embodiment of the present application;
FIG. 3 is a schematic view of an infusion detection device according to an exemplary embodiment of the present application;
FIG. 4 is a flow chart of MQTT parsing provided by an exemplary embodiment of the present application;
FIG. 5 is a flow chart of early warning provided by an exemplary embodiment of the present application;
fig. 6 is a block diagram of an infusion management module provided in an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as detailed in the appended claims.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities.
Fig. 1 is a block diagram of an intelligent early warning infusion system according to an exemplary embodiment of the present disclosure, where the block diagram mainly includes:
step 101: the infusion detection module is used for collecting gravity information of the medicine and obtaining liquid quantity data and dripping speed data of the residual medicine through calculation, and the infusion detection module can report the collected data to the MQTT server.
Step 102: the MQTT server is used for transferring the acquired data to the infusion server and decoupling the connection between hardware and the infusion server.
Step 103: and the infusion server is used for analyzing and processing the received data and realizing the uniform monitoring and early warning of the whole infusion process.
Specifically, when the infusion detection module in the infusion device acquires the gravity information of the medicine in the device, the gravity information is obtained by the weighing sensor. By the formula Vi＝(Mgi-Mgbottle) /[ rho ] where ViDenotes the volume of the drug remaining, MgiRepresenting the weight of the drug, Mg, measured by a load cellbottleRepresenting the weight of the infusion bottle itself and ρ representing the density of the drug. The dropping Speed can be regulated by the consensus Speedi＝(Vi+m-Vi) V (m.times.5). times.60, where V is calculated every five secondsiAnd will ViHeld in a queue, except if Vi+1＞Vi+10ml, when it is considered that a new bottle of liquid is affected, the number of bottles is increased gradually, B is introducedi+1＝Bi+ 1.
Meanwhile, if the voltage of the battery is detected to be less than the set value, the low voltage mark P is usediSet to 1, otherwise set to 0, based on the above calculation, at which V is seti、Speedi、Bi、PiConverted into 16-ary data and packed into one frame, where ViAnd SpeediEach occupies 2 bytes, BiAnd PiThe data frames are stored to the message weight of the MQTT protocol after the concentrator receives the reported data frames, the whole data is sent to a configured MQTT server, and the MQTT server forwards the whole data to the infusion server.
The liquid quantity and the dropping speed of the medicine are calculated to obtain liquid quantity data and dropping speed data, and the two data are reported to the MQTT server through the infusion detection module. The MQTT server transfers the liquid volume data and the dropping speed data reported by the infusion detection module to the infusion server, decouples the connection between hardware and the infusion server, analyzes and processes the received dropping liquid data and the dropping speed data through the infusion server, realizes the uniform monitoring of the whole infusion process, and gives early warning to the problems of needle swelling, blood returning, bottle changing, needle pulling and the like in the infusion process by setting an early warning threshold value.
In one embodiment, information collected by the infusion detection devices can be reported to the concentrator, wherein the concentrator can add each infusion detection device to a network of the concentrator for centralized management through configuration, and after data actively reported by the infusion detection devices is received, part of the reported data can be filtered into effective data, wherein the effective data comprises residual liquid volume, dropping speed, bottle number and electric quantity, and then the complete protocol data is sent to the MQTT server. The MQTT server can also transfer data sent by the concentrator to the infusion server and perform decoupling. The data reported by the concentrator can be monitored by configuring corresponding themes and user passwords in the MQTT background and the infusion server. The deployment environment of the server is as follows: operating system-Centos 764 bit system server; jdk 1.8.0_191 is the JDK; tomcat, linux-apache-Tomcat-7.0.20; nginx-1.16.1-1.el7.ngx.x86_ 64; a database: mysql-14.14Linux (x86_64), Redis-4.0.10.
Fig. 2 is a block diagram of an infusion server according to an exemplary embodiment of the present application, where the infusion server mainly includes: the infusion server 200, an MQTT analysis module 201, an early warning module 202, an infusion management module 203, a device management module 204 and a system setting module 205.
Specifically, the infusion server 200: the data analysis and processing device is used for analyzing and processing the received data transferred by the MQTT server so as to realize uniform monitoring and early warning in the infusion process.
MQTT parsing module 201: the method comprises the steps that connection attributes used for configuring the MQTT server comprise a user name, a password, an address, a message subject and an ID of a client; and receiving and analyzing MQTT protocol data transmitted by hardware.
The early warning module 202: the infusion sheet bound on the node ID analyzed by the module 201 is inquired, the state of the infusion sheet is calculated and updated through other data analyzed by the module 201, and various kinds of early warning information is sent.
The infusion management module 203: for adding infusion orders, starting infusion, canceling infusion, ending infusion and other data management services in the system.
The device management module 204: the system is used for adding and binding infusion devices, establishing a device record by using a device ID as a unique index, and binding the infusion devices with a hospital bed in a one-to-one mode.
The system setup module 205: used for setting the remaining liquid amount, the remaining infusion time and the dripping speed as early warning thresholds, the early warning module 202 performs state conversion through various settings.
Fig. 3 is a schematic structural diagram of an infusion detection device according to an exemplary embodiment of the present application, and the infusion detection device mainly includes a housing 1, a gravity sensor 2, a hook 3, a battery 4, a hanging ring 5, and a circuit board 6 as shown in fig. 3.
Specifically, the shell 1 is used for containing medicines, the gravity sensor 2 is used for acquiring weight data of the medicines, the hook 3 is used for being connected with the gravity sensor, the battery 4 is used for supplying power to equipment, the hanging ring 5 is used for being hung on a fixed support, and the circuit board 6 is used for control and wireless transmission and comprises an MCU (STM32L152) and a Lora wireless template (WH-L101-L-C patch type).
In one embodiment, when a project is started, the system monitors data from the MQTT server according to the registration of the configuration file, and filters out data with non-set themes. During configuration, the Message is set to be of a byte array type, and after the Message is received, the payload in the Message is taken out, so that the payload data of the byte [ ] type can be converted into a 16-system character string. After the service is started, the system is connected to the MQTT server and monitors data forwarded by the MQTT. After receiving the data, obtaining the theme of the message, and analyzing each byte data according to a defined protocol, wherein the byte data comprises the residual liquid amount, the dropping speed, the bottle number, the electric quantity and the node id.
And analyzing the key data, searching a corresponding hardware equipment record from a database through the node id, and storing the data into the record.
Fig. 4 is a MQTT parsing flowchart provided by an exemplary embodiment of the present application, and the MQTT parsing flowchart, as shown in fig. 4, includes the following steps;
step 401: and receiving MQTT protocol data consistent topic data.
Step 402: and converting the byte array of the payload into a 16-system character string.
Step 403: whether the equipment number and the protocol type are offline data or not is analyzed, and if not, the bottle number, the dropping speed, the residual capacity and the electric quantity are analyzed.
Step 404: the device status is updated to offline.
Specifically, when MQTT protocol data consistent topic data is received, a byte array in the payload is converted into a 16-system character string, whether the equipment number and the protocol type are offline data or not is analyzed, if not, the bottle number, the dropping speed, the residual capacity and the electric quantity of the current infusion device are analyzed, and the equipment state is updated to be an offline state.
Fig. 5 is a flow chart of an early warning method according to an exemplary embodiment of the present application, and as shown in fig. 5, the early warning method includes the following steps:
step 501: and receiving the analyzed MQTT protocol data transmitted by the hardware.
Step 502: and inquiring the infusion list bound on the node ID.
Step 503: if the infusion list is in the state of waiting for infusion or in infusion, checking whether the state of the equipment is in work or not.
Step 504: and if the equipment is off-line, setting the infusion list to be in an abnormal state and sending equipment abnormality early warning information.
In one embodiment, after the received MQTT protocol data transmitted by hardware is analyzed, the infusion sheet bound on the MQTT protocol data is inquired according to the node id, and if the infusion sheet is in a state to be infused or in infusion, whether the state of the equipment is in work is checked. And if the equipment is off-line, setting the infusion list to be in an abnormal state and sending equipment abnormality early warning information.
If the equipment is in an online state, checking whether the setting is low electric quantity, and if the equipment is low electric quantity, sending a low electric quantity early warning.
Optionally, whether the analyzed bottle number is a new bottle number is judged by checking the analyzed bottle number, if the analyzed bottle number is the new bottle number, the infusion list id is used as a key value, the new bottle number is added into the cache, and a record of the new bottle is added into the database.
Optionally, whether the infusion sheet is in the state of waiting for infusion is judged, and if the infusion sheet is in the state of waiting for infusion and the dropping speed is greater than 0, the infusion sheet is set to be in the state of infusion. If the infusion state is the infusion state, judging whether the swelling needle early warning (the dropping speed is too slow) condition is met or not according to a dropping speed threshold value set by the system, if so, setting the swelling needle state in the infusion bottle record, and sending the swelling needle early warning information. If the early warning is sent, the early warning is not sent, and if the dropping speed returns to normal, the early warning is removed.
Optionally, whether the current bottle is about to end is judged through the set remaining liquid amount and remaining time threshold, and if the current bottle is about to end, whether the current bottle is the last bottle is judged. If the last bottle is available, the infusion list is set to be finished, needle pulling early warning is sent, and if the last bottle is not available, bottle replacement early warning is sent.
Optionally, whether a blood return early warning condition is met is judged according to a threshold of the remaining liquid amount, and if yes, a blood return early warning message is sent.
Wherein the system environment is configured to: hardware: a Centos 764-bit system server; JDK: openjdk version 1.8.0_ 191; a system development environment: the server program development environment is Window 1064 bits, IntelliJ IDEA 2020.2.3, Jdk 1.8.0_191, and issues jar packets through Maven 3.6.3. A base frame: springboot + Mybatis Plus.
Fig. 6 is a diagram of an infusion management module provided in an exemplary embodiment of the present application, and as shown in fig. 6, the infusion management module includes:
an adding module 601: the system is used for adding an infusion list, acquiring the current patient information of the sickbed according to the sickbed number, sending the information together with the data of medicines, dosage, medicine quantity, estimated medicine taking time, total bottle number and the like to a server, creating an infusion list record according to the data, and setting the state as not started.
A start block 602: the infusion table is used for starting infusion, setting the state of the infusion table as the infusion to be performed, and binding the infusion table id to the database record of the equipment associated with the sickbed. And once the dropping speed data sent by the equipment is received and the dropping speed is greater than 0, setting the state of the infusion sheet as the infusion.
The cancellation module 603: the infusion list is used for canceling the infusion, and only the infusion list in the state of not starting or waiting for infusion can be canceled, and the state of the infusion list is updated to be canceled.
An end block 604: the infusion list is used for ending infusion and is incapable of being ended normally due to the fact that data are abnormal through manual ending. At this time, the infusion list is updated to be finished.
It can be understood that after the hardware device prompts needle withdrawal, the device is closed, and the state of the infusion sheet in the infusion is automatically updated to be finished. And the infusion data are all stored in the database.
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
To sum up, the infusion device and the system with the intelligent early warning function can realize the whole-process unified monitoring and early warning of infusion, can record the initial amount, the residual amount, the starting time and the ending time and the medication details of each bottle of medicine in the infusion process in detail, and achieve the effect of intelligently reminding medical staff of replacing an infusion bottle.
The foregoing are merely exemplary embodiments of the present application and no attempt is made to show structural details of the invention in more detail than is necessary for the fundamental understanding of the art, the description taken with the drawings making apparent to those skilled in the art how the several forms of the invention may be embodied in practice with the teachings of the invention. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. An intelligent early warning infusion device, comprising:
the infusion detection module is used for acquiring gravity information of the medicine and obtaining liquid quantity data and dripping speed data of the residual medicine through calculation, and the infusion detection module can report the acquired data to the MQTT server;
the MQTT server is used for transferring the acquired data to the infusion server and decoupling the connection between hardware and the infusion server;
and the infusion server is used for analyzing and processing the received data and realizing the uniform monitoring and early warning of the whole infusion process.
2. The apparatus of claim 1, further comprising: a concentrator configured to centrally manage the addition of the infusion detection modules to the network of the concentrator.
3. The device of claim 2, wherein the concentrator is further configured to, after receiving the data actively reported by the infusion detection module, treat the data as valid data and send complete protocol data to the MQTT server, wherein the valid data includes but is not limited to: residual liquid amount, dropping speed, bottle number and electric quantity.
4. The device of claim 1, wherein the MQTT server is further configured to configure a corresponding theme and a user password in the MQTT server background and the infusion server, and the data reported by the concentrator can be monitored by configuring the corresponding theme and the user password.
5. The device of claim 1, wherein the infusion server comprises: MQTT analysis module, early warning module, infusion management module, equipment management module, system setting module.
6. The apparatus of claim 5, wherein the MQTT parsing module is configured to configure connection attributes of the MQTT server, the connection attributes including but not limited to: monitoring data from the MQTT server through a system, filtering non-set theme data, analyzing each byte data of the filtered theme data according to a defined protocol, finding the analyzed byte data from a database through a node ID to obtain a corresponding hardware equipment record, and storing the byte data.
7. The device as claimed in claim 5, wherein the early warning module is used for realizing needle swelling early warning, bottle changing early warning, needle pulling early warning and blood return early warning by comprehensively calculating the remaining liquid amount, the dropping speed and the transfusion time, and inquiring the transfusion single state bound on the node ID by analyzing MQTT protocol data transmitted by hardware so as to realize abnormity early warning and low-power early warning.
8. The device of claim 5, wherein the infusion management module is configured to add an infusion list, the status of the infusion list comprises start of infusion, cancel of infusion, and end of infusion, the infusion list in infusion is closed after the hardware device prompts needle withdrawal, the status of the infusion list is automatically updated to be completed, and the infusion data is stored in the database.
9. The apparatus according to claim 5, wherein the device management module is configured to add a device and a bound device, the add device is configured to create a device record for the unique index by using the device ID, and the bound device is configured to bind to a patient bed number of the device and store the patient bed number in a database record of the device; the system management module is used for setting residual liquid amount, dropping speed and distance transfusion ending time as early warning threshold values.
10. An intelligent early warning infusion system, comprising: the intelligent pre-warning infusion device of any one of claims 1-9 and a remote monitoring platform, wherein:
the remote monitoring platform is used for monitoring the infusion of the patient according to the volume information and the detection time information of the residual liquid in the corresponding infusion bottle sent by the infusion detection device, and timely informing medical personnel of needle swelling, blood returning, bottle changing and needle pulling.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111201952.6A CN113893407B (en) | 2021-10-15 | 2021-10-15 | Infusion device and system of intelligent early warning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111201952.6A CN113893407B (en) | 2021-10-15 | 2021-10-15 | Infusion device and system of intelligent early warning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113893407A true CN113893407A (en) | 2022-01-07 |
| CN113893407B CN113893407B (en) | 2023-10-31 |
Family
ID=79192195
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111201952.6A Active CN113893407B (en) | 2021-10-15 | 2021-10-15 | Infusion device and system of intelligent early warning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113893407B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110205074A1 (en) * | 2010-02-22 | 2011-08-25 | Jun Feng | IV infusion monitoring device |
| CN103816582A (en) * | 2012-10-10 | 2014-05-28 | 葛锋 | Integrated digital transfusion apparatus and transfusion monitoring and management method thereof |
| US20140188516A1 (en) * | 2010-01-22 | 2014-07-03 | Deka Products Limited Partnership | System, Method, and Apparatus for Electronic Patient Care |
| CN104307070A (en) * | 2014-11-13 | 2015-01-28 | 杨茂林 | Transfusion monitor and transfusion monitoring system based on cloud service |
| CN104639625A (en) * | 2015-01-27 | 2015-05-20 | 华南理工大学 | Data concentrator acquisition control method based on MQTT (Message Queuing Telemetry Transport), data concentrator acquisition control device based on MQTT and data concentrator acquisition control system based on MQTT |
| CN107296999A (en) * | 2017-08-08 | 2017-10-27 | 吉林师范大学 | Medical Transfusion device residual liquid quantity automatic early-warning processing platform and application method based on Internet of Things |
| CN108578827A (en) * | 2018-05-21 | 2018-09-28 | 四川斐讯信息技术有限公司 | a kind of intelligent transfusion detection device, intelligent transfusion monitoring system and method |
| CN108904923A (en) * | 2018-07-19 | 2018-11-30 | 广州辉群智能科技有限公司 | A kind of intelligent transfusion monitoring method and system |
| CN108965447A (en) * | 2018-07-27 | 2018-12-07 | 四川爱创科技有限公司 | The method and system that data are acquired and remotely controlled |
| CN109157711A (en) * | 2018-09-24 | 2019-01-08 | 张红 | A kind of intelligent medical warning device and control method with infusion error correction |
| CN112738266A (en) * | 2020-12-31 | 2021-04-30 | 山东向明环保科技有限公司 | Data acquisition and transmission equipment system and predictive diagnosis and edge calculation method |
-
2021
- 2021-10-15 CN CN202111201952.6A patent/CN113893407B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140188516A1 (en) * | 2010-01-22 | 2014-07-03 | Deka Products Limited Partnership | System, Method, and Apparatus for Electronic Patient Care |
| US20110205074A1 (en) * | 2010-02-22 | 2011-08-25 | Jun Feng | IV infusion monitoring device |
| CN103816582A (en) * | 2012-10-10 | 2014-05-28 | 葛锋 | Integrated digital transfusion apparatus and transfusion monitoring and management method thereof |
| CN104307070A (en) * | 2014-11-13 | 2015-01-28 | 杨茂林 | Transfusion monitor and transfusion monitoring system based on cloud service |
| CN104639625A (en) * | 2015-01-27 | 2015-05-20 | 华南理工大学 | Data concentrator acquisition control method based on MQTT (Message Queuing Telemetry Transport), data concentrator acquisition control device based on MQTT and data concentrator acquisition control system based on MQTT |
| CN107296999A (en) * | 2017-08-08 | 2017-10-27 | 吉林师范大学 | Medical Transfusion device residual liquid quantity automatic early-warning processing platform and application method based on Internet of Things |
| CN108578827A (en) * | 2018-05-21 | 2018-09-28 | 四川斐讯信息技术有限公司 | a kind of intelligent transfusion detection device, intelligent transfusion monitoring system and method |
| CN108904923A (en) * | 2018-07-19 | 2018-11-30 | 广州辉群智能科技有限公司 | A kind of intelligent transfusion monitoring method and system |
| CN108965447A (en) * | 2018-07-27 | 2018-12-07 | 四川爱创科技有限公司 | The method and system that data are acquired and remotely controlled |
| CN109157711A (en) * | 2018-09-24 | 2019-01-08 | 张红 | A kind of intelligent medical warning device and control method with infusion error correction |
| CN112738266A (en) * | 2020-12-31 | 2021-04-30 | 山东向明环保科技有限公司 | Data acquisition and transmission equipment system and predictive diagnosis and edge calculation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113893407B (en) | 2023-10-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11872010B2 (en) | Controlling access to a medical monitoring system | |
| CN105581782B (en) | The resident annotations of wireless senser | |
| CN106005690B (en) | Drug container and corresponding medication alert system | |
| CN104885089B (en) | The long-range monitoring of analysis measurement | |
| CN106570307B (en) | System and method for streaming patient information from a defibrillator | |
| CA2601185C (en) | Medical software download to mobile phone | |
| JP2018515832A (en) | Medical device management | |
| CN105637837B (en) | Data capture and management system | |
| CN100479796C (en) | Intelligent medicine box | |
| CN104915758A (en) | Home intelligent terminal, health management server, health management system and health management method | |
| WO2005114524A2 (en) | Personalized remote patient monitoring systems and methods | |
| CN108399956A (en) | Managing device, home for destitute nurse management equipment and system are nursed in home for destitute | |
| CN218525179U (en) | Be applied to anesthesia intelligent alarm device of perioperative period | |
| CN112546346A (en) | Intelligent medical infusion monitoring system | |
| CN211509072U (en) | Intelligent safety monitoring system for community endowment | |
| CN104867083A (en) | Mobile medical system based on mobile terminals | |
| CN104867082A (en) | Mobile medical system facing to individuals | |
| CN103259823A (en) | Telemedicine monitoring system | |
| CN106407661A (en) | Method for achieving information processing, gateway, terminal, server and system | |
| CN113893407A (en) | Infusion set and system of intelligence early warning | |
| Galarraga et al. | Standards for medical device communication: X73 PoC-MDC | |
| CN108520623A (en) | A kind of healthcare system | |
| CN112397166A (en) | Chronic disease medical management system | |
| CN116157053A (en) | Patient monitor and equipment information management method thereof | |
| WO2016160851A1 (en) | Customer-or patient-based selective data encryption in medical device management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |