CN116913462A - Infusion state real-time monitoring method for intelligent ward - Google Patents
Infusion state real-time monitoring method for intelligent ward Download PDFInfo
- Publication number
- CN116913462A CN116913462A CN202311169357.8A CN202311169357A CN116913462A CN 116913462 A CN116913462 A CN 116913462A CN 202311169357 A CN202311169357 A CN 202311169357A CN 116913462 A CN116913462 A CN 116913462A
- Authority
- CN
- China
- Prior art keywords
- real
- infusion
- time state
- time
- monitoring
- 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.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 170
- 238000001802 infusion Methods 0.000 title claims abstract description 137
- 238000000034 method Methods 0.000 title claims abstract description 32
- 239000003814 drug Substances 0.000 claims abstract description 75
- 230000005856 abnormality Effects 0.000 claims abstract description 11
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 22
- 230000000694 effects Effects 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 3
- 238000012545 processing Methods 0.000 abstract description 6
- 238000004590 computer program Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 229940079593 drug Drugs 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 3
- 206010061623 Adverse drug reaction Diseases 0.000 description 2
- 208000030453 Drug-Related Side Effects and Adverse reaction Diseases 0.000 description 2
- 238000012216 screening Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 238000003759 clinical diagnosis Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000474 nursing effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004659 sterilization and disinfection Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
- G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Theoretical Computer Science (AREA)
- Epidemiology (AREA)
- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Physiology (AREA)
- Medicinal Chemistry (AREA)
- Pharmacology & Pharmacy (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Pulmonology (AREA)
- Toxicology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Infusion, Injection, And Reservoir Apparatuses (AREA)
Abstract
The application relates to the field of real-time state monitoring of infusion, in particular to a real-time state monitoring method for an intelligent ward, which comprises the following steps: s1, obtaining an infusion whole-flow pre-monitoring result based on intelligent ward corresponding data; s2, establishing an intelligent ward transfusion real-time state monitoring database by using the transfusion full-flow pre-monitoring result; s3, obtaining an infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database, checking before the infusion medicine starts to be used in consideration of various influencing factors, establishing independent states according to environmental factors in the ward and real-time physical signs of the patient after confirming that the infusion medicine is error-free, comparing the independent states with each other, carrying out alarm processing when any comparison abnormality exists for the safety, rechecking the abnormality at the same time, picking key contents of the intelligent ward data to carry out effective safety guarantee on infusion treatment while visually reflecting the intelligent ward data.
Description
Technical Field
The application relates to the field of real-time state monitoring of infusion, in particular to a real-time state monitoring method for an intelligent ward.
Background
The intelligent ward is an auxiliary diagnosis and treatment and intelligent nursing integrated solution based on the Internet of things in the hospital. The hospital ward is intelligently modified, and the patient is tightly connected with medical staff and intelligent medical equipment through an advanced Internet of things technology. The medical big data is formed by collecting, screening and integrating clinical data, so that intelligent auxiliary decision making is provided for clinical diagnosis and treatment. However, when a patient takes a long time for medical treatment such as transfusion, no logic self-consistent real-time state monitoring method exists yet.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a real-time monitoring method for the infusion state of an intelligent ward, and the safety of patients in the infusion process is ensured by combining objective factors in the intelligent ward with subjective data of the patients.
In order to achieve the above object, the present application provides a method for monitoring the infusion state of an intelligent ward in real time, comprising:
s1, obtaining an infusion whole-flow pre-monitoring result based on intelligent ward corresponding data;
s2, establishing an intelligent ward transfusion real-time state monitoring database by using the transfusion full-flow pre-monitoring result;
s3, obtaining an infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database.
Preferably, the obtaining the infusion whole-process pre-monitoring result based on the intelligent ward corresponding data includes:
s1-1, acquiring the medicine validity period, the medicine weight and the medicine side effect of an infusion medicine based on an intelligent ward as basic data of the infusion medicine;
s1-2, establishing an infusion whole-flow pre-monitoring result according to the infusion medicine basic data;
wherein, the basic data of the transfusion medicine comprises the medicine validity period, the medicine weight and the side effect of the medicine.
Further, establishing the infusion whole-flow pre-monitoring result according to the infusion medicine basic data comprises the following steps:
s1-2-1, judging whether the medicine validity period of the infusion medicine basic data is expired, if so, outputting the current expired infusion medicine basic data, otherwise, executing S1-2-2;
s1-2-2, judging whether the medicine weight of the infusion medicine basic data is normal, if so, executing S1-2-3, otherwise, outputting the current abnormal infusion medicine basic data;
s1-2-3, judging whether the side effect of the infusion medicine basic data is abnormal, if so, outputting the current abnormal infusion medicine basic data, otherwise, outputting the infusion medicine basic data as an infusion whole-flow pre-monitoring result;
wherein, the abnormality in S1-2-3 is that the side effect of the medicine is repelled with the symptom of the patient corresponding to the current medicine.
Preferably, the establishing the intelligent ward transfusion real-time state monitoring database by using the transfusion full-flow pre-monitoring result comprises:
s2-1, when all the infusion whole-flow pre-monitoring results correspond to normal, establishing an intelligent ward infusion real-time state monitoring database by utilizing intelligent ward real-time data;
s2-2, when all the infusion whole-flow pre-monitoring results do not correspond to the abnormality, discarding the treatment;
wherein, the intelligent ward real-time data includes ward environment data and patient sign data.
Further, the establishing the intelligent ward transfusion real-time state monitoring database by utilizing the intelligent ward real-time data comprises the following steps:
establishing a real-time state primary monitoring database by utilizing patient sign data of the intelligent ward real-time data;
establishing a real-time state auxiliary monitoring database by utilizing ward environment data of the intelligent ward real-time data;
and using the real-time state primary monitoring database and the real-time state auxiliary monitoring database as an intelligent ward transfusion real-time state monitoring database.
Further, the establishing the real-time status primary monitoring database by using the patient sign data of the intelligent ward real-time data comprises:
the infusion starting time corresponding to the current patient is used as the standard time;
sequentially establishing a real-time state primary monitoring data set according to standard time by utilizing patient sign data of the intelligent ward real-time data;
and using the infusion medicine basic data and the corresponding real-time state primary monitoring data set as a real-time state primary monitoring database.
Further, establishing the real-time state auxiliary monitoring database by using the ward environment data of the intelligent ward real-time data comprises:
acquiring corresponding intelligent ward standard environment data according to a current patient;
acquiring real-time environment data of an intelligent ward and sequentially establishing a real-time state auxiliary monitoring data set at corresponding moments;
and using the standard environmental data of the intelligent ward and the real-time state auxiliary monitoring data set as a real-time state auxiliary monitoring database.
Further, obtaining the infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database includes:
s3-1, judging whether a real-time state primary monitoring database and a real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database are completely corresponding, if yes, executing S3-2, otherwise, giving an alarm;
s3-2, judging whether the real-time state primary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, alarming, and executing S3-3, otherwise, directly executing S3-3;
s3-3, judging whether the real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, giving an alarm, and executing S3-4, otherwise, directly outputting the transfusion real-time state monitoring result as normal;
s3-4, acquiring a full-flow pre-monitoring result of the infusion corresponding to the current moment to obtain a real-time state monitoring result of the infusion.
Further, the obtaining the infusion real-time state monitoring result corresponding to the infusion whole-flow pre-monitoring result at the current moment includes:
s3-4-1, judging whether the current time corresponds to the full flow pre-monitoring result of infusion and the real-time state primary monitoring database of the intelligent ward infusion real-time state monitoring database completely corresponds to each other, if yes, executing S3-4-2, otherwise, outputting the infusion real-time state monitoring result as abnormal;
s3-4-2, judging whether the full flow pre-monitoring result of the infusion corresponding to the current moment is completely corresponding to the real-time state auxiliary monitoring database of the intelligent ward infusion real-time state monitoring database, if yes, returning to S2-1, otherwise, outputting that the real-time state monitoring result of the infusion is abnormal.
Compared with the closest prior art, the application has the following beneficial effects:
the method comprises the steps of carrying out state pre-screening by utilizing basic attribute characteristics of infusion medicines, considering various influencing factors, checking the infusion medicines before starting to use, establishing independent states according to environmental factors in wards and real-time physical signs of patients after confirming that the infusion medicines are free of errors, comparing the independent states with each other, carrying out alarm processing when any comparison abnormality exists on the basis of insurance, and rechecking the abnormality at the same time, picking key contents of the intelligent ward data to carry out effective safety guarantee on infusion treatment while intuitively reflecting the intelligent ward data.
Drawings
Fig. 1 is a flowchart of a method for monitoring infusion state in real time in an intelligent ward according to the present application.
Detailed Description
The following describes the embodiments of the present application in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1: the application provides a real-time monitoring method for infusion state of an intelligent ward, as shown in fig. 1, comprising the following steps:
s1, obtaining an infusion whole-flow pre-monitoring result based on intelligent ward corresponding data;
s2, establishing an intelligent ward transfusion real-time state monitoring database by using the transfusion full-flow pre-monitoring result;
s3, obtaining an infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database.
S1 specifically comprises:
s1-1, acquiring the medicine validity period, the medicine weight and the medicine side effect of an infusion medicine based on an intelligent ward as basic data of the infusion medicine;
s1-2, establishing an infusion whole-flow pre-monitoring result according to the infusion medicine basic data;
wherein, the basic data of the transfusion medicine comprises the medicine validity period, the medicine weight and the side effect of the medicine.
S1-2 specifically comprises:
s1-2-1, judging whether the medicine validity period of the infusion medicine basic data is expired, if so, outputting the current expired infusion medicine basic data, otherwise, executing S1-2-2;
s1-2-2, judging whether the medicine weight of the infusion medicine basic data is normal, if so, executing S1-2-3, otherwise, outputting the current abnormal infusion medicine basic data;
s1-2-3, judging whether the side effect of the infusion medicine basic data is abnormal, if so, outputting the current abnormal infusion medicine basic data, otherwise, outputting the infusion medicine basic data as an infusion whole-flow pre-monitoring result;
wherein, the abnormality in S1-2-3 is that the side effect of the medicine is repelled with the symptom of the patient corresponding to the current medicine.
In this embodiment, in a method for monitoring an infusion state in real time in an intelligent ward, an abnormality in S1-2-3 is defined as a drug side effect occurring on a patient, i.e., a judgment basis is a drug side effect, and a defined object is a patient.
S2 specifically comprises:
s2-1, when all the infusion whole-flow pre-monitoring results correspond to normal, establishing an intelligent ward infusion real-time state monitoring database by utilizing intelligent ward real-time data;
s2-2, when all the infusion whole-flow pre-monitoring results do not correspond to the abnormality, discarding the treatment;
wherein, the intelligent ward real-time data includes ward environment data and patient sign data.
S2-1 specifically comprises:
s2-1-1, establishing a real-time state primary monitoring database by utilizing patient sign data of the intelligent ward real-time data;
s2-1-2, establishing a real-time state auxiliary monitoring database by utilizing ward environment data of the intelligent ward real-time data;
s2-1-3, using the real-time state primary monitoring database and the real-time state auxiliary monitoring database as an intelligent ward transfusion real-time state monitoring database.
S2-1-1 specifically includes:
s2-1-1-1, using the corresponding transfusion starting time of the current patient as a standard time;
s2-1-1-2, sequentially establishing a real-time state primary monitoring data set according to standard time by utilizing patient physical sign data of the intelligent ward real-time data;
s2-1-1-3, utilizing the infusion medicine basic data and the corresponding real-time state primary monitoring data set as a real-time state primary monitoring database.
In this embodiment, the method for monitoring the infusion state of the intelligent ward in real time includes, but is not limited to, heart rate, blood sugar, body temperature, pulse, etc., and in practical application, the patient sign data may be replaced, added or deleted according to the patient condition or abnormal response of the infusion medicine.
S2-1-2 specifically comprises:
s2-1-2-1, acquiring corresponding intelligent ward standard environment data according to a current patient;
s2-1-2-2, acquiring real-time environment data of an intelligent ward and sequentially establishing a real-time state auxiliary monitoring data set at corresponding moments;
s2-1-2-3, using the standard environmental data of the intelligent ward and the real-time state auxiliary monitoring data set as a real-time state auxiliary monitoring database.
In this embodiment, a method for monitoring infusion status in real time in an intelligent ward includes, but is not limited to, temperature, humidity, disinfection conditions, and the like.
S3 specifically comprises:
s3-1, judging whether a real-time state primary monitoring database and a real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database are completely corresponding, if yes, executing S3-2, otherwise, giving an alarm;
s3-2, judging whether the real-time state primary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, alarming, and executing S3-3, otherwise, directly executing S3-3;
s3-3, judging whether the real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, giving an alarm, and executing S3-4, otherwise, directly outputting the transfusion real-time state monitoring result as normal;
s3-4, acquiring a full-flow pre-monitoring result of the infusion corresponding to the current moment to obtain a real-time state monitoring result of the infusion.
S3-4 specifically comprises:
s3-4-1, judging whether the current time corresponds to the full flow pre-monitoring result of infusion and the real-time state primary monitoring database of the intelligent ward infusion real-time state monitoring database completely corresponds to each other, if yes, executing S3-4-2, otherwise, outputting the infusion real-time state monitoring result as abnormal;
s3-4-2, judging whether the full flow pre-monitoring result of the infusion corresponding to the current moment is completely corresponding to the real-time state auxiliary monitoring database of the intelligent ward infusion real-time state monitoring database, if yes, returning to S2-1, otherwise, outputting that the real-time state monitoring result of the infusion is abnormal.
In this embodiment, in the method for monitoring the infusion state of an intelligent ward in real time, the corresponding relationship of the database is that the sign of the patient accords with the environmental factor in the ward in practical application.
In this embodiment, a method for monitoring an infusion state in real time for an intelligent ward is disclosed, in the design of some intelligent ward, there are problems of real-time monitoring of the infusion state, including the infusion flow rate, the allowance, the duration, etc., but all the problems are too fine, and the key point of the scheme is to consider the comprehensive monitoring before, during and after the infusion execution, and the environmental factors and the patient's self-reaction are all reflected by direct or indirect data in the process of drug safety and infusion.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application and not for limiting the same, and although the present application has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the application without departing from the spirit and scope of the application, which is intended to be covered by the claims.
Claims (9)
1. The infusion state real-time monitoring method for the intelligent ward is characterized by comprising the following steps of:
s1, obtaining an infusion whole-flow pre-monitoring result based on intelligent ward corresponding data;
s2, establishing an intelligent ward transfusion real-time state monitoring database by using the transfusion full-flow pre-monitoring result;
s3, obtaining an infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database.
2. The method for real-time monitoring of infusion state in intelligent ward according to claim 1, wherein obtaining the infusion complete-process pre-monitoring result based on the intelligent ward correspondence data comprises:
s1-1, acquiring the medicine validity period, the medicine weight and the medicine side effect of an infusion medicine based on an intelligent ward as basic data of the infusion medicine;
s1-2, establishing an infusion whole-flow pre-monitoring result according to the infusion medicine basic data;
wherein, the basic data of the transfusion medicine comprises the medicine validity period, the medicine weight and the side effect of the medicine.
3. The method for monitoring the infusion state of an intelligent ward in real time according to claim 2, wherein the step of establishing the infusion whole-process pre-monitoring result according to the infusion medicine basic data comprises the steps of:
s1-2-1, judging whether the medicine validity period of the infusion medicine basic data is expired, if so, outputting the current expired infusion medicine basic data, otherwise, executing S1-2-2;
s1-2-2, judging whether the medicine weight of the infusion medicine basic data is normal, if so, executing S1-2-3, otherwise, outputting the current abnormal infusion medicine basic data;
s1-2-3, judging whether the side effect of the infusion medicine basic data is abnormal, if so, outputting the current abnormal infusion medicine basic data, otherwise, outputting the infusion medicine basic data as an infusion whole-flow pre-monitoring result;
wherein, the abnormality in S1-2-3 is that the side effect of the medicine is repelled with the symptom of the patient corresponding to the current medicine.
4. The method for real-time monitoring of infusion state in intelligent ward according to claim 1, wherein the step of establishing the intelligent ward infusion real-time state monitoring database by using the infusion full-flow pre-monitoring result comprises:
s2-1, when all the infusion whole-flow pre-monitoring results correspond to normal, establishing an intelligent ward infusion real-time state monitoring database by utilizing intelligent ward real-time data;
s2-2, when all the infusion whole-flow pre-monitoring results do not correspond to the abnormality, discarding the treatment;
wherein, the intelligent ward real-time data includes ward environment data and patient sign data.
5. The method for real-time monitoring of infusion state in intelligent ward according to claim 4, wherein the creating an intelligent ward infusion real-time state monitoring database using intelligent ward real-time data comprises:
establishing a real-time state primary monitoring database by utilizing patient sign data of the intelligent ward real-time data;
establishing a real-time state auxiliary monitoring database by utilizing ward environment data of the intelligent ward real-time data;
and using the real-time state primary monitoring database and the real-time state auxiliary monitoring database as an intelligent ward transfusion real-time state monitoring database.
6. The method of claim 5, wherein creating a primary real-time status monitoring database using patient sign data of the smart ward real-time data comprises:
the infusion starting time corresponding to the current patient is used as the standard time;
sequentially establishing a real-time state primary monitoring data set according to standard time by utilizing patient sign data of the intelligent ward real-time data;
and using the infusion medicine basic data and the corresponding real-time state primary monitoring data set as a real-time state primary monitoring database.
7. The method for real-time monitoring of infusion status in an intelligent ward of claim 5, wherein creating a real-time status auxiliary monitoring database using ward environment data of the intelligent ward real-time data comprises:
acquiring corresponding intelligent ward standard environment data according to a current patient;
acquiring real-time environment data of an intelligent ward and sequentially establishing a real-time state auxiliary monitoring data set at corresponding moments;
and using the standard environmental data of the intelligent ward and the real-time state auxiliary monitoring data set as a real-time state auxiliary monitoring database.
8. The method for real-time monitoring of infusion state in an intelligent ward according to claim 5, wherein obtaining the infusion real-time state monitoring result according to the intelligent ward infusion real-time state monitoring database comprises:
s3-1, judging whether a real-time state primary monitoring database and a real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database are completely corresponding, if yes, executing S3-2, otherwise, giving an alarm;
s3-2, judging whether the real-time state primary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, alarming, and executing S3-3, otherwise, directly executing S3-3;
s3-3, judging whether the real-time state auxiliary monitoring database of the intelligent ward transfusion real-time state monitoring database is abnormal, if so, giving an alarm, and executing S3-4, otherwise, directly outputting the transfusion real-time state monitoring result as normal;
s3-4, acquiring a full-flow pre-monitoring result of the infusion corresponding to the current moment to obtain a real-time state monitoring result of the infusion.
9. The method for monitoring the infusion state of an intelligent ward in real time according to claim 8, wherein the step of obtaining the infusion real-time state monitoring result corresponding to the infusion full-flow pre-monitoring result at the current time comprises the steps of:
s3-4-1, judging whether the current time corresponds to the full flow pre-monitoring result of infusion and the real-time state primary monitoring database of the intelligent ward infusion real-time state monitoring database completely corresponds to each other, if yes, executing S3-4-2, otherwise, outputting the infusion real-time state monitoring result as abnormal;
s3-4-2, judging whether the full flow pre-monitoring result of the infusion corresponding to the current moment is completely corresponding to the real-time state auxiliary monitoring database of the intelligent ward infusion real-time state monitoring database, if yes, returning to S2-1, otherwise, outputting that the real-time state monitoring result of the infusion is abnormal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311169357.8A CN116913462A (en) | 2023-09-12 | 2023-09-12 | Infusion state real-time monitoring method for intelligent ward |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311169357.8A CN116913462A (en) | 2023-09-12 | 2023-09-12 | Infusion state real-time monitoring method for intelligent ward |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116913462A true CN116913462A (en) | 2023-10-20 |
Family
ID=88358725
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311169357.8A Pending CN116913462A (en) | 2023-09-12 | 2023-09-12 | Infusion state real-time monitoring method for intelligent ward |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116913462A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105187510A (en) * | 2015-08-13 | 2015-12-23 | 吉林大学 | Wireless sensor network based ward monitoring system and method |
| CN106796622A (en) * | 2014-10-13 | 2017-05-31 | 皇家飞利浦有限公司 | Monitoring information provides apparatus and method |
| CN112233768A (en) * | 2020-09-10 | 2021-01-15 | 深圳圣诺医疗设备股份有限公司 | Medicine safe use control method, device and system |
| CN114415766A (en) * | 2022-01-21 | 2022-04-29 | 中国人民解放军总医院第一医学中心 | Intelligent environment regulation and control system applied to ICU ward |
| CN114864040A (en) * | 2022-04-21 | 2022-08-05 | 厦门大学附属中山医院 | Dispensing and checking method, system, equipment and medium for clinical medicines |
-
2023
- 2023-09-12 CN CN202311169357.8A patent/CN116913462A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106796622A (en) * | 2014-10-13 | 2017-05-31 | 皇家飞利浦有限公司 | Monitoring information provides apparatus and method |
| CN105187510A (en) * | 2015-08-13 | 2015-12-23 | 吉林大学 | Wireless sensor network based ward monitoring system and method |
| CN112233768A (en) * | 2020-09-10 | 2021-01-15 | 深圳圣诺医疗设备股份有限公司 | Medicine safe use control method, device and system |
| CN114415766A (en) * | 2022-01-21 | 2022-04-29 | 中国人民解放军总医院第一医学中心 | Intelligent environment regulation and control system applied to ICU ward |
| CN114864040A (en) * | 2022-04-21 | 2022-08-05 | 厦门大学附属中山医院 | Dispensing and checking method, system, equipment and medium for clinical medicines |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100563744C (en) | Be used for providing the system of trend analysis at calm and analgesic systems | |
| Baig et al. | Machine learning-based clinical decision support system for early diagnosis from real-time physiological data | |
| WO2006067725A2 (en) | Medical monitoring method and system | |
| US20120239435A1 (en) | Automated annotation of clinical data | |
| CN110111896B (en) | Medical risk identification method and system | |
| JP2022508221A (en) | Prediction of critical alarm | |
| CN114420231A (en) | Interpretable acute kidney injury continuous early warning method and system, storage medium and electronic equipment | |
| Leonardi et al. | Exceptions handling within GLARE clinical guideline framework | |
| CN117877674A (en) | Intelligent intravenous fluid treatment control method and system | |
| CN116913462A (en) | Infusion state real-time monitoring method for intelligent ward | |
| CN117038062A (en) | Clinical decision support system, method and storage medium | |
| WO2018064448A1 (en) | Patient monitoring system and method configured to suppress an alarm | |
| US20230013474A1 (en) | Systems and methods for storing data on medical sensors | |
| Elbasha et al. | A step towards the application of an artificial intelligence model in the prediction of intradialytic complications | |
| JP2024516301A (en) | System and method for automatically finding time series trends without imputation | |
| CN115702459A (en) | Time-controlled alarm handling for medical dialysis equipment | |
| Idi et al. | Data-driven supervised compression artifacts detection on continuous glucose sensors | |
| CN113223713A (en) | Dynamic monitoring method, system and storage medium based on risk assessment | |
| CN110364256A (en) | A kind of disease forecasting system and method for the blood-vessel image identification based on big data | |
| US20230386676A1 (en) | Systems and methods to detect a false alarm in a patient monitoring device | |
| CN108417268A (en) | Ephritis intelligent diagnosis system based on machine learning and computer readable storage medium | |
| JPH01126978A (en) | Automated method for controlling dialysis of blood according to blood pressure and heart rate of patient | |
| CN116965785B (en) | Vital sign monitoring and analyzing method, system, terminal and storage medium | |
| CN108836311A (en) | A kind of whole process can monitor interactive remote cardiac diagnosis method and system | |
| CN117747046B (en) | Medical injection system |
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 |