CN112806965A - Intensive care method and system based on Internet of things - Google Patents
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Abstract
The embodiment of the invention relates to the field of intensive care, and particularly discloses an intensive care method and system based on the Internet of things, wherein the method is used for acquiring clinical information of a target patient in real time; when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information; when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; and comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, and sending second early warning information when the absolute value is greater than a threshold value. The invention can effectively monitor the vital sign value of the patient and carry out early warning in time aiming at the change of the vital sign value of the patient so as to ensure that the physical condition of the patient is effectively monitored in time.
Description
Technical Field
The embodiment of the invention relates to the field of intensive care, in particular to an intensive care method and system based on the Internet of things.
Background
Intensive Care Unit (ICU) is a very important department in hospital, patients come from different departments, the disease conditions are varied, the working process of the ICU is not only collecting medical history, physical examination, differential diagnosis and laboratory examination, and a treatment scheme is formulated according to the data, and the ICU needs to be adjusted appropriately according to the conditions. Patient conditions within an ICU often involve multiple organ systems and interact, and diagnosis at admission or at the time of admission is often not a major problem to be solved by the ICU. In the prior art, the intensive care field only collects various data, and the data monitoring of the user is performed by the screening or selection of the doctor, which causes inconvenience and complication to the doctor in work and easily causes the overlooking phenomenon due to the negligence of the doctor.
Disclosure of Invention
The embodiment of the invention aims to provide an intensive care method and system based on the Internet of things, so as to solve the problems that in the prior art, various data are only collected in the intensive care field, and the data of a user is monitored by screening or selecting by a doctor, so that the doctor is inconvenient and complicated in work, and the phenomenon of overlooking is easily caused by negligence of the doctor.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions:
an Internet of things-based intensive care method, the method comprising:
acquiring clinical information of a target patient in real time, wherein the clinical information comprises a current vital sign value and personal information of the patient;
when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information;
when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; and comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, and sending second early warning information when the absolute value is greater than a threshold value.
As a further limitation of the technical solution of the embodiment of the present invention, the step of acquiring the clinical information of the target patient in real time specifically includes: clinical information of a patient is imported from a hospital information system HIS system.
As a further limitation of the technical solution of the embodiment of the present invention, the step of acquiring the clinical information of the target patient in real time specifically includes: clinical information of a patient from a clinical entry device is acquired.
As a further limitation of the technical solution of the embodiment of the present invention, the step of acquiring the clinical information of the target patient in real time specifically includes: clinical information is collected from a patient of a monitoring system.
As a further limitation of the technical solution of the embodiment of the present invention, when the current vital sign value of the target patient exceeds the preset parameter range, the step of sending out the first warning information specifically includes:
acquiring a preset parameter range of a normal vital sign value;
judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
and when the current vital sign value of the target patient exceeds a preset parameter range, generating first early warning information and outputting the first early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
As a further limitation of the technical solution of the embodiment of the present invention, when the current vital sign value of the target patient does not exceed the preset range, the specific step of retrieving the clinical database includes:
acquiring a normal vital sign value to obtain a preset parameter range;
judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
and when the current vital sign value of the target patient does not exceed the preset parameter range, calling a clinical database, wherein the clinical database comprises the personal information of the registered patient and historical vital sign values corresponding to the personal information of the registered patient.
As a further limitation of the technical solution of the embodiment of the present invention, the step of extracting the historical vital sign value of the target patient in a clinical database based on the personal information of the target patient includes:
acquiring personal information of the target patient;
matching personal information of a target patient in the clinical database;
and extracting historical vital sign values corresponding to the personal information of the target patient within a preset time period.
As a further limitation of the technical solution of the embodiment of the present invention, the comparing an absolute value of a difference between the historical vital sign value and the current vital sign value, and when the absolute value is greater than a threshold, the specific step of sending out the second warning information includes:
acquiring a current vital sign value and a historical vital sign value of a target patient;
calculating the absolute value of the difference between the historical vital sign value and the current vital sign value;
and when the absolute value is larger than the threshold value, sending out second early warning information and outputting the second early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
In another preferred embodiment provided by the invention, the invention also discloses an intensive care system based on the Internet of things;
the system comprises:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring clinical information of a target patient in real time, and the clinical information comprises a current vital sign value and personal information of the patient;
the first early warning unit is used for sending out first early warning information when the current vital sign value of the target patient exceeds a preset parameter range;
the calling unit is used for calling the clinical database when the current vital sign value of the target patient does not exceed the preset range;
the extraction unit is used for extracting historical vital sign values of the target patient in a preset time period in a clinical database on the basis of the personal information of the target patient;
the comparison unit is used for comparing the difference value between the historical vital sign value and the current vital sign value;
and the second early warning unit is used for sending out second early warning information when the difference value is greater than the threshold value.
As a further limitation of the technical solution of the embodiment of the present invention, the system further includes:
and the updating unit is used for updating the current vital sign value carrying the time information and the personal information of the patient to the clinical database when the difference value is smaller than the threshold value.
Compared with the prior art, the invention has the beneficial effects that:
in the intensive care method provided by the embodiment of the invention, the clinical information of a target patient is acquired in real time, wherein the clinical information comprises the current vital sign value and personal information of the patient; when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information; when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, sending second early warning information when the absolute value is larger than the threshold value, effectively monitoring the vital sign value of the patient, and early warning timely aiming at the change of the vital sign value of the patient so as to ensure timely and effective monitoring of the physical condition of the patient.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a system architecture of the intensive care method and system based on the internet of things provided by the invention.
Fig. 2 is a flow chart of an intensive care method based on the internet of things according to an embodiment of the present invention.
Fig. 3 is a sub-flow block diagram of an intensive care method based on the internet of things according to a second embodiment of the present invention.
Fig. 4 is another sub-flow block diagram of an intensive care method based on the internet of things according to a third embodiment of the present invention.
Fig. 5 is a block diagram of another sub-process of the intensive care method based on the internet of things according to the fourth embodiment of the present invention.
Fig. 6 is a block diagram of another sub-process of a fifth internet-of-things-based intensive care method according to an embodiment of the present invention.
Fig. 7 is a block diagram of an intensive care system based on the internet of things according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, in the present disclosure, the embodiments and features of the embodiments may be combined with each other without conflict. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Currently, in the prior art, the intensive care field only collects various data, and the data monitoring of the user is performed by the screening or selection of the doctor, which causes inconvenience and complexity to the doctor and easily causes the overlooking phenomenon due to the negligence of the doctor.
In order to solve the above-mentioned deficiencies in the prior art, in the intensive care method provided in the embodiment of the present invention, clinical information of a target patient is collected in real time, wherein the clinical information includes a current vital sign value and personal information of the patient; when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information; when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, sending second early warning information when the absolute value is larger than the threshold value, effectively monitoring the vital sign value of the patient, and early warning timely aiming at the change of the vital sign value of the patient so as to ensure timely and effective monitoring of the physical condition of the patient.
Referring to fig. 1, fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the internet of things based intensive care method and system disclosed herein may be applied.
Specifically, as shown in fig. 1, the system architecture 100 may include a monitoring instrument 101, a network 102, and a server 103. The network 102 may be a medium to provide a communication link between the monitoring equipment 101 and the server 103. Network 102 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The server 103 interacts data information with the monitoring instrument 101 through the network 102 to receive information such as vital sign values. When the monitoring apparatus 101 is hardware, it may be a device capable of monitoring vital sign data of a patient, and when the monitoring apparatus 101 is software, it may be installed in the monitoring device. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
The server 103 may be a server that provides various services. The server 103 may obtain patient vital sign data monitored by the monitoring equipment 101. Then, the server 103 may perform analysis processing on the vital sign data. Then, the server 103 can generate the early warning information according to the processing result of the vital sign data, and send the early warning information to the medical care personnel.
It should be noted that the intensive care method based on the internet of things provided by the embodiments of the present disclosure is generally performed by the server 103. Optionally, the machine translation method provided by this embodiment may also be executed by the monitoring apparatus 101.
The server 103 may be hardware or software. When the server 103 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 103 is software, it may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module. And is not particularly limited herein.
The first embodiment is as follows:
fig. 2 shows a flow chart of an intensive care method based on the internet of things provided by the second embodiment of the invention in this year.
Specifically, in the embodiment of the invention, an intensive care method based on the internet of things is provided;
the method 200 comprises the following steps:
step S201: acquiring clinical information of a target patient in real time, wherein the clinical information comprises a current vital sign value and personal information of the patient;
in the specific implementation of step S201 provided in the embodiment of the present invention, the monitor 100 is used to monitor the vital signs of the patient and obtain the values of the vital signs, specifically, the process of monitoring the vital signs of the patient by the monitor 100 may be to import clinical information of the patient from the hospital information system HIS system; the clinical information of the patient from the clinical recording device or the monitoring system can be acquired;
specifically, the clinical information in the present embodiment includes personal information of the target patient and a vital sign value corresponding to the personal information of the target patient.
Step S202: when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information;
further, in the specific implementation of step S202 provided in the embodiment of the present invention, by monitoring the vital signs of the normal population, a range in which each item of index data of the healthy vital signs is located is determined, namely, the preset parameter range, in the embodiment, the current vital sign value acquired by the target patient in real time is judged, so as to determine whether the current vital sign value of the target patient falls within the preset parameter range, and when the current vital sign value does not fall within the preset parameter range, namely when the current vital sign value of the target patient exceeds the preset parameter range, warning is carried out and early warning information is output, the output comprises the output through a field device and the output of a terminal device of a medical staff at work, so that the on-site medical staff or off-site medical staff can timely know whether the current body characteristic value of the target patient is abnormal or not.
Step S203: when the current vital sign value of the target patient does not exceed the preset range, calling a clinical database;
further, in the specific implementation of step S202 provided in the embodiment of the present invention, it can be understood that, when the current vital sign value of the target patient does not exceed the preset range, it may be preliminarily determined that the current vital sign value of the target patient is abnormal when determined based on the preset parameter range, and at this time, in order to further determine whether each item of index data of the body of the current patient fluctuates, it is also necessary to determine according to the body condition of the current patient;
in particular, the clinical database also needs to be called up in the server 103.
Step S204: extracting historical vital sign values of the target patient within a preset time period in a clinical database based on the personal information of the target patient;
further, in step S204 provided in the embodiment of the present invention, when the clinical database is called, the vital sign values of the target patient in other time periods are extracted from the clinical database, so that the determination is performed based on the historical vital sign values of the patient, and the vital signs of the intensive care patient can be better monitored.
Step S205: and comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, and sending second early warning information when the absolute value is greater than a threshold value.
In a specific implementation of step S205, the current vital sign value of the target patient is compared with the historical vital sign value of the target patient, and the difference between the current vital sign value and the historical vital sign value of the target patient is calculated, and the absolute value of the difference between the current vital sign value and the historical vital sign value is taken, and when the absolute value is greater than the threshold, it indicates that the current vital sign value of the patient has a large change with the daily data of the patient, and the patient needs to be concerned, and the physical condition of the patient is predicted in time, so that the deterioration of the disease condition is avoided.
Further, in a preferred embodiment provided by the present invention, the step S201 of acquiring clinical information of the target patient in real time specifically includes at least one of the following steps:
importing clinical information of a patient from a hospital information system HIS;
acquiring clinical information of a patient from a clinical entry device; or
Clinical information is collected from a patient of a monitoring system.
Example two:
fig. 3 is a sub-flow block diagram of an intensive care method based on the internet of things according to a second embodiment of the present invention.
Specifically, in a preferred embodiment provided by the present invention, the step S202 of sending out the first warning information when the current vital sign value of the target patient exceeds the preset parameter range specifically includes:
step S2021: acquiring a preset parameter range of a normal vital sign value;
step S2022: judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
step S2023: and when the current vital sign value of the target patient exceeds a preset parameter range, generating first early warning information and outputting the first early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
Example three:
fig. 4 shows another sub-flow diagram of the intensive care method based on the internet of things according to the third embodiment of the invention.
Specifically, in a preferred embodiment provided by the present invention, when the current vital sign value of the target patient does not exceed the preset range, the step S203 of retrieving the clinical database specifically includes:
step S2031: acquiring a normal vital sign value to obtain a preset parameter range;
step S2032: judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
step S2033: and when the current vital sign value of the target patient does not exceed the preset parameter range, calling a clinical database, wherein the clinical database comprises the personal information of the registered patient and historical vital sign values corresponding to the personal information of the registered patient.
Example four:
fig. 5 shows another sub-flow diagram of the intensive care method based on the internet of things according to the fourth embodiment of the invention.
Specifically, in a preferred embodiment provided by the present invention, the step S204 of extracting, in a clinical database, historical vital sign values of the target patient within a preset time period based on the personal information of the target patient specifically includes:
step S2041: acquiring personal information of the target patient;
step S2042: matching personal information of a target patient in the clinical database;
step S2043: and extracting historical vital sign values corresponding to the personal information of the target patient within a preset time period.
Example five:
fig. 6 is a block diagram of another sub-process of a fifth internet-of-things-based intensive care method according to an embodiment of the present invention.
Specifically, in a preferred embodiment provided by the present invention, the step S205 of comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, and when the absolute value is greater than the threshold, sending the second warning information specifically includes:
step S2051: acquiring a current vital sign value and a historical vital sign value of a target patient;
step S2052: calculating the absolute value of the difference between the historical vital sign value and the current vital sign value;
step S2053: and when the absolute value is larger than the threshold value, sending out second early warning information and outputting the second early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
Example six:
fig. 7 shows a block diagram of an intensive care system based on the internet of things according to an embodiment of the present invention.
In another preferred embodiment provided by the invention, the invention also discloses an intensive care system based on the Internet of things;
the system 300 includes:
the acquisition unit 301 is configured to acquire clinical information of a target patient in real time, where the clinical information includes a current vital sign value and personal information of the patient;
the vital signs of the patient are monitored through the acquisition unit 301, and vital sign values are obtained, specifically, the process of monitoring the vital signs of the patient through the monitor 100 can be importing clinical information of the patient from a hospital information system HIS system; the clinical information of the patient from the clinical recording device or the monitoring system can be acquired;
specifically, the clinical information in the present embodiment includes personal information of the target patient and a vital sign value corresponding to the personal information of the target patient.
The first early warning unit 302 is configured to send out first early warning information when the current vital sign value of the target patient exceeds a preset parameter range;
further, in a specific implementation of step S202 provided in this embodiment of the present invention, a range in which each index data of healthy vital signs is located, that is, a preset parameter range, is determined by monitoring the vital signs of a normal population.
The retrieval unit 303 is configured to retrieve the clinical database when the current vital sign value of the target patient does not exceed the preset range;
it can be understood that, when the current vital sign value of the target patient does not exceed the preset range, it can be preliminarily determined that the current vital sign value of the target patient is abnormal based on the preset parameter range, and at this time, in order to further confirm whether each index data of the body of the current patient fluctuates, it is also necessary to determine according to the body condition of the current patient;
specifically, the clinical database needs to be called in the server 103 through the calling unit 303.
An extracting unit 304, configured to extract, in a clinical database, historical vital sign values of the target patient within a preset time period based on the personal information of the target patient;
when the clinical database is called, the vital sign values of the target patient in other time periods are extracted from the clinical database through the extraction unit 304, so that the judgment is performed by taking the historical vital sign values of the patient as a reference, and the vital signs of the intensive care patient can be better monitored;
a comparing unit 305 for comparing a difference between the historical vital sign value and the current vital sign value;
and the second early warning unit 306 is configured to send out second early warning information when the difference is greater than the threshold.
Comparing the current vital sign value of the target patient with the historical vital sign value of the target patient, calculating the difference value of the current vital sign value and the historical vital sign value of the target patient, and taking the absolute value of the difference value of the current vital sign value and the historical vital sign value of the target patient.
Further, in the embodiment of the present invention, the system further includes:
an updating unit 307, configured to update the current vital sign value carrying the time information and the patient personal information to the clinical database when the difference is smaller than the threshold, so as to fill a data basis of a historical vital sign value of the target patient in the clinical database, and take subsequent judgment of a change of the vital sign value data of the patient as a basis.
In summary, in the intensive care method provided by the embodiment of the present invention, clinical information of a target patient is collected in real time, where the clinical information includes a current vital sign value and personal information of the patient; when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information; when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, sending second early warning information when the absolute value is larger than the threshold value, effectively monitoring the vital sign value of the patient, and early warning timely aiming at the change of the vital sign value of the patient so as to ensure timely and effective monitoring of the physical condition of the patient.
An embodiment of the present invention further provides a computer device, which includes a display screen, a memory, a processor, and a computer program, where the computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the steps of the internet of things-based intensive care method.
It is understood that in the preferred embodiment provided by the present invention, the computer device can also be a notebook computer, a personal digital assistant, a mobile phone, etc. which can communicate.
Embodiments of the present invention also provide a schematic diagram of a readable storage medium having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of the internet of things based intensive care method.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the terminal device is merely exemplary and not limiting, and that more or fewer components than those described above may be included, or certain components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
The processor may be a central processing unit, but may also be other general purpose processors, digital signal processors, application specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, or the like. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intensive care method based on the Internet of things, which is characterized by comprising the following steps:
acquiring clinical information of a target patient in real time, wherein the clinical information comprises a current vital sign value and personal information of the patient;
when the current vital sign value of the target patient exceeds a preset parameter range, sending first early warning information;
when the current vital sign value of a target patient does not exceed a preset range, calling a clinical database, and extracting the historical vital sign value of the target patient in a preset time period from the clinical database based on the personal information of the target patient; and comparing the absolute value of the difference between the historical vital sign value and the current vital sign value, and sending second early warning information when the absolute value is greater than a threshold value.
2. The intensive care therapy method based on the internet of things according to claim 1, wherein the step of acquiring clinical information of the target patient in real time specifically comprises: clinical information of a patient is imported from a hospital information system HIS system.
3. The intensive care therapy method based on the internet of things as claimed in claim 2, wherein the step of collecting clinical information of the target patient in real time specifically comprises: clinical information of a patient from a clinical entry device is acquired.
4. The intensive care therapy method based on the internet of things as claimed in claim 3, wherein the step of collecting clinical information of the target patient in real time specifically comprises: clinical information is collected from a patient of a monitoring system.
5. The intensive care method based on the internet of things as claimed in any one of claims 2 to 4, wherein the step of sending out the first warning information when the current vital sign value of the target patient exceeds the preset parameter range specifically comprises:
acquiring a preset parameter range of a normal vital sign value;
judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
and when the current vital sign value of the target patient exceeds a preset parameter range, generating first early warning information and outputting the first early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
6. The intensive care method based on the internet of things as claimed in claim 5, wherein when the current vital sign value of the target patient does not exceed the preset range, the specific step of calling the clinical database comprises:
acquiring a normal vital sign value to obtain a preset parameter range;
judging whether the current vital sign value of the target patient is within the preset parameter range or not based on the preset parameter range;
and when the current vital sign value of the target patient does not exceed the preset parameter range, calling a clinical database, wherein the clinical database comprises the personal information of the registered patient and historical vital sign values corresponding to the personal information of the registered patient.
7. The intensive care therapy method based on the internet of things as claimed in claim 6, wherein the specific step of extracting the historical vital sign values of the target patient in a preset time period from a clinical database based on the personal information of the target patient comprises:
acquiring personal information of the target patient;
matching personal information of a target patient in the clinical database;
and extracting historical vital sign values corresponding to the personal information of the target patient within a preset time period.
8. The intensive care method based on the internet of things of claim 7, wherein the step of comparing the absolute value of the difference between the historical vital sign value and the current vital sign value and sending out the second warning information when the absolute value is greater than a threshold value comprises the following specific steps:
acquiring a current vital sign value and a historical vital sign value of a target patient;
calculating the absolute value of the difference between the historical vital sign value and the current vital sign value;
and when the absolute value is larger than the threshold value, sending out second early warning information and outputting the second early warning information, wherein the outputting comprises outputting through field equipment and outputting through terminal equipment of medical staff on duty.
9. An intensive care system based on the internet of things, the system comprising:
the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring clinical information of a target patient in real time, and the clinical information comprises a current vital sign value and personal information of the patient;
the first early warning unit is used for sending out first early warning information when the current vital sign value of the target patient exceeds a preset parameter range;
the calling unit is used for calling the clinical database when the current vital sign value of the target patient does not exceed the preset range;
the extraction unit is used for extracting historical vital sign values of the target patient in a preset time period in a clinical database on the basis of the personal information of the target patient;
the comparison unit is used for comparing the difference value between the historical vital sign value and the current vital sign value;
and the second early warning unit is used for sending out second early warning information when the difference value is greater than the threshold value.
10. The internet of things based intensive care system of claim 9, further comprising:
and the updating unit is used for updating the current vital sign value carrying the time information and the personal information of the patient to the clinical database when the difference value is smaller than the threshold value.
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