CN114446456A - Infusion seepage big data analysis management system - Google Patents
Infusion seepage big data analysis management system Download PDFInfo
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- CN114446456A CN114446456A CN202210114890.3A CN202210114890A CN114446456A CN 114446456 A CN114446456 A CN 114446456A CN 202210114890 A CN202210114890 A CN 202210114890A CN 114446456 A CN114446456 A CN 114446456A
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- 238000001802 infusion Methods 0.000 title claims abstract description 162
- 238000007405 data analysis Methods 0.000 title claims abstract description 47
- 238000013523 data management Methods 0.000 claims abstract description 13
- 238000007726 management method Methods 0.000 claims abstract description 10
- 230000004044 response Effects 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 22
- 239000003814 drug Substances 0.000 claims description 16
- 239000007788 liquid Substances 0.000 claims description 16
- 238000004458 analytical method Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 13
- 238000012545 processing Methods 0.000 claims description 11
- 238000013500 data storage Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 5
- 230000004075 alteration Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
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- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/1805—Append-only file systems, e.g. using logs or journals to store data
- G06F16/1815—Journaling file systems
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- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
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- 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
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
- G06F16/285—Clustering or classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
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- Infusion, Injection, And Reservoir Apparatuses (AREA)
Abstract
The invention discloses an infusion seepage big data analysis management system, which comprises a data terminal and an infusion terminal, wherein the infusion terminal comprises an infusion recording system, a seepage response system and a seepage statistical system, the data terminal comprises a data acquisition system, a data analysis system, an information query system and a personnel entry system, the infusion recording system is used for recording information related to infusion before the infusion seeps out, the seepage response system is used for monitoring the infusion seepage and giving an alarm, the seepage statistical system is used for recording the information related to the infusion seepage after the infusion seeps out, the data acquisition system is used for acquiring and storing data, the data analysis system is used for analyzing the data, the information query system is used for querying the information, and the personnel entry system is used for entering the information of an infusion worker; the infusion seepage big data analysis and management system is convenient for finding out factors causing infusion seepage and is high in safety coefficient.
Description
Technical Field
The invention relates to the field of big data analysis and management systems, in particular to an infusion seepage big data analysis and management system.
Background
The infusion seepage refers to a phenomenon that the input liquid medicine leaks into soft tissues outside the vein due to various reasons in the infusion process, and because the factors causing the infusion seepage are various, in order to analyze the phenomenon, find out and correct the factors causing the infusion seepage, a large infusion seepage data analysis and management system is needed.
Firstly, when the existing transfusion seepage big data analysis management system is used, the information data recording is incomplete, and factors causing transfusion seepage are not convenient to be checked; secondly, when the existing transfusion seepage big data analysis management system is used, the safety factor is low, and important information data are easily lost and leaked.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: when the existing transfusion seepage big data analysis management system is used, the information data is incompletely recorded, and factors causing transfusion seepage are inconvenient to be checked; secondly, when the existing transfusion seepage big data analysis management system is used, the safety factor is low, and important information data are easily lost and leaked.
The invention solves the technical problems by the following technical scheme, and the transfusion seepage big data analysis management system comprises a data terminal and a transfusion terminal, wherein the transfusion terminal comprises a transfusion recording system, a seepage response system and a seepage statistical system, and the data terminal comprises a data acquisition system, a data analysis system, an information inquiry system and a personnel entry system;
the infusion recording system is used for recording information related to infusion before infusion exudation;
the seepage response system is used for monitoring the seepage of the infusion and giving an alarm;
the seepage statistical system is used for recording information related to the seepage of the infusion after the infusion seeps;
the data acquisition system is used for acquiring and storing data;
the data analysis system is used for analyzing data;
the information inquiry system is used for inquiring information;
the personnel entry system is used for entering information of the infusion personnel.
Preferably, the infusion terminal is in communication connection with the data terminal through a dedicated line, and data of the infusion recording system is stored in the data acquisition system;
preferably, the infusion recording system comprises an infusion member registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining duration recording module.
Preferably, the infusion member registration module is used for registering when an infusion member uses the infusion terminal, the liquid medicine information registration module is used for registering information of liquid medicine delivery, the patient information registration module is used for registering basic information of a patient needing infusion, the infusion process recording module is used for recording a video of the infusion member during infusion operation, and the needle remaining duration recording module is used for recording the time of the infusion needle when the infusion needle is inserted into a human body and when the infusion needle is pulled out of the human body.
Preferably, the seepage counting system comprises a seepage counting module, a date recording module, a seepage factor counting module, a log recording module and a storage unit, and the data of the seepage counting module, the date recording module, the seepage factor counting module and the log recording module are stored in the storage unit.
Preferably, the seepage counting module is used for counting the times of the transfusion seepage phenomenon, the date recording module is used for recording the date and time of the transfusion seepage, the seepage factor counting module is used for counting the reasons of the transfusion seepage phenomenon, and the log recording module is used for recording the method and the effect of processing the transfusion seepage phenomenon.
Preferably, the data acquisition system comprises a data receiving module, a data classifying module and a data storage module.
Preferably, the specific processing steps of the data acquisition system are as follows;
the method comprises the following steps: the data receiving module receives data from the transfusion recording system;
step two: the data classification module classifies the data received by the data receiving module;
step three: the data storage module stores the classified data of the data classification module in a classification mode.
Preferably, the data analysis system comprises a data calling module, a data integration and classification module, a big data analysis module, an analysis report generation module and a report statistics storage module;
preferably, the specific processing steps of the data analysis system are as follows;
the method comprises the following steps: the data calling module calls data from the data acquisition system;
step two: the data integration and classification module integrates the called data and then performs secondary classification;
step three: the big data analysis module analyzes the integrated and classified data to obtain factors causing infusion seepage;
step four: an analysis report generation module generates an analysis report;
step five: and the report statistic storage module is used for storing the generated analysis reports in a classified manner.
Compared with the prior art, the invention has the following advantages: the infusion seepage big data analysis management system is characterized in that an infusion recording system is additionally arranged, through an infusion operator registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining duration recording module in the infusion recording system, infusion operator information using an infusion terminal, liquid medicine information used for infusion, patient information required for infusion, an infusion process and needle remaining duration during infusion are respectively recorded, recorded information data are stored in a data acquisition system, and after an infusion seepage phenomenon occurs, the data in the data acquisition system are comprehensively analyzed by the data analysis system, so that factors causing infusion seepage are conveniently found out;
through separating infusion terminal and data terminal, through private line communication connection between two terminals, utilize data acquisition system to the important information data among the infusion record system to store, type in transfusion personnel's information through personnel's system simultaneously, use the infusion terminal to make at needs, must register the module through transfusion personnel and get into, transfusion personnel who does not type in the personnel type in system can't use the infusion terminal, many-sided guarantee information data's safety, the factor of safety of lifting systems, avoid losing and leaking of important information data.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a system diagram of an infusion recording system of the present invention;
FIG. 3 is a system diagram of a bleed statistics system of the present invention;
FIG. 4 is a system diagram of a data acquisition system of the present invention;
FIG. 5 is a system diagram of a data analysis system of the present invention.
Detailed Description
The following examples are given for the detailed implementation and specific operation of the present invention, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1-5, an infusion seepage big data analysis management system comprises a data terminal and an infusion terminal, wherein the infusion terminal comprises an infusion recording system, a seepage response system and a seepage statistic system, and the data terminal comprises a data acquisition system, a data analysis system, an information query system and a personnel entry system;
the infusion recording system is used for recording information related to infusion before infusion exudation;
the seepage response system is used for monitoring the seepage of the infusion and giving an alarm;
the seepage statistical system is used for recording information related to the seepage of the infusion after the infusion seeps;
the data acquisition system is used for acquiring and storing data;
the data analysis system is used for analyzing the data;
the information inquiry system is used for inquiring information;
the personnel entry system is used for entering information of the infusion personnel.
The transfusion terminal is in communication connection with the data terminal through a private line, and the data of the transfusion recording system is stored in the data acquisition system;
the infusion recording system comprises an infusion person registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining time recording module.
The infusion terminal comprises an infusion member registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining duration recording module, wherein the infusion member registration module is used for logging in when an infusion member uses the infusion terminal, the liquid medicine information registration module is used for registering information of liquid medicine to be delivered, the patient information registration module is used for registering basic information of a patient needing infusion, the infusion process recording module is used for recording videos of the infusion member during infusion operation, and the needle remaining duration recording module is used for recording time of an infusion needle when the infusion needle is inserted into a human body and when the infusion needle is pulled out of the human body.
The seepage counting system comprises a seepage counting module, a date recording module, a seepage factor counting module, a log recording module and a storage unit, and the data of the seepage counting module, the date recording module, the seepage factor counting module and the log recording module are stored in the storage unit.
The seepage counting module is used for counting the times of the transfusion seepage phenomenon, the date recording module is used for recording the date and time of the transfusion seepage, the seepage factor counting module is used for counting the reasons of the transfusion seepage phenomenon, and the log recording module is used for recording the method and the effect of processing the transfusion seepage phenomenon.
The data acquisition system comprises a data receiving module, a data classification module and a data storage module.
The specific processing steps of the data acquisition system are as follows;
the method comprises the following steps: the data receiving module receives data from the transfusion recording system;
step two: the data classification module classifies the data received by the data receiving module;
step three: the data storage module is used for storing the data classified by the data classification module in a classified manner.
The data analysis system comprises a data calling module, a data integration and classification module, a big data analysis module, an analysis report generation module and a report statistic storage module;
the specific processing steps of the data analysis system are as follows;
the method comprises the following steps: the data calling module calls data from the data acquisition system;
step two: the data integration and classification module integrates the called data and then performs secondary classification;
step three: the big data analysis module analyzes the integrated and classified data to obtain factors causing infusion seepage;
step four: an analysis report generation module generates an analysis report;
step five: and the report statistic storage module is used for storing the generated analysis reports in a classified manner.
In summary, when the infusion apparatus is used, firstly, information of an infusion person is entered through a personnel entry system of a data terminal, the infusion person generally refers to doctors and nurses, when a patient is infused, the infusion person enters the infusion terminal through an infusion person registration module in an infusion recording system of the infusion terminal by virtue of employee's card and human face recognition, the infusion person who is not entered through the personnel entry system cannot use the infusion terminal, after the infusion person enters the infusion terminal, information of delivered liquid medicine and basic information of the patient needing infusion are respectively registered through a liquid medicine information registration module and a patient information registration module, then the infusion person starts needle insertion and infusion for the patient, meanwhile, a shooting record is carried out on infusion operation of the infusion person through an infusion process recording module, when the infusion needle is inserted into the patient, the needle remaining duration recording module starts timing, when the infusion needle is pulled out of the patient, the needle remaining duration recording module stops timing, when the phenomenon of infusion seepage occurs in the infusion process, the seepage response system gives an alarm to remind an infusion person of coming processing, the seepage number counting module in the seepage counting system counts once, the date recording module records the date and time of the seepage of the infusion, after the phenomenon of the seepage of the infusion is processed by the infusion person, the processing method and the processing result are recorded through the log recording module, the data acquisition system acquires and stores the data of the infusion recording system, the data analysis system acquires the data in the data acquisition system, analyzes and generates an analysis report, the factors causing the seepage of the infusion are conveniently found out, the seepage factor counting module is fed back to the seepage factor counting module through a special line for counting, and the information data in the data terminal is inquired through the information inquiry system.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (10)
1. The infusion seepage big data analysis management system is characterized by comprising a data terminal and an infusion terminal, wherein the infusion terminal comprises an infusion recording system, a seepage response system and a seepage statistical system, and the data terminal comprises a data acquisition system, a data analysis system, an information inquiry system and a personnel entry system;
the infusion recording system is used for recording information related to infusion before infusion exudation;
the seepage response system is used for monitoring the seepage of the infusion and giving an alarm;
the seepage statistical system is used for recording information related to the seepage of the infusion after the infusion seeps;
the data acquisition system is used for acquiring and storing data;
the data analysis system is used for analyzing data;
the information inquiry system is used for inquiring information;
the personnel entry system is used for entering information of the infusion personnel.
2. The infusion ooze big data analysis and management system according to claim 1, characterized in that: the infusion terminal is in communication connection with the data terminal through a special line, and data of the infusion recording system are stored in the data acquisition system.
3. The infusion ooze big data analysis and management system according to claim 1, characterized in that: the infusion recording system comprises an infusion member registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining duration recording module.
4. The infusion ooze big data analysis and management system according to claim 3, characterized in that: the infusion terminal comprises an infusion terminal, an infusion person registration module, a liquid medicine information registration module, a patient information registration module, an infusion process recording module and a needle remaining duration recording module, wherein the infusion person registration module is used for registering infusion terminal login, the liquid medicine information registration module is used for registering information of liquid medicine to be delivered, the patient information registration module is used for registering basic information of a patient needing infusion, the infusion process recording module is used for recording videos of the infusion person during infusion operation, and the needle remaining duration recording module is used for recording time of an infusion needle when the infusion needle is inserted into a human body and when the infusion needle is pulled out of the human body.
5. The infusion ooze big data analysis and management system according to claim 1, characterized in that: the seepage counting system comprises a seepage counting module, a date recording module, a seepage factor counting module, a log recording module and a storage unit, and the data of the seepage counting module, the date recording module, the seepage factor counting module and the log recording module are stored in the storage unit.
6. The infusion ooze big data analysis and management system according to claim 5, characterized in that: the infusion seepage counting module is used for counting the times of infusion seepage phenomena, the date recording module is used for recording the date and time of infusion seepage, the seepage factor counting module is used for counting the reasons of the infusion seepage phenomena, and the log recording module is used for recording and processing the method and the effect of the infusion seepage phenomena.
7. The infusion ooze big data analysis and management system according to claim 1, characterized in that: the data acquisition system comprises a data receiving module, a data classification module and a data storage module.
8. The infusion ooze big data analysis and management system according to claim 7, characterized in that: the specific processing steps of the data acquisition system are as follows;
the method comprises the following steps: the data receiving module receives data from the transfusion recording system;
step two: the data classification module classifies the data received by the data receiving module;
step three: the data storage module stores the classified data of the data classification module in a classification mode.
9. The infusion ooze big data analysis and management system according to claim 1, characterized in that: the data analysis system comprises a data calling module, a data integration and classification module, a big data analysis module, an analysis report generation module and a report statistic storage module.
10. The infusion ooze big data analysis and management system according to claim 9, characterized in that: the specific processing steps of the data analysis system are as follows;
the method comprises the following steps: the data calling module calls data from the data acquisition system;
step two: the data integration and classification module integrates the called data and then carries out secondary classification;
step three: the big data analysis module analyzes the integrated and classified data to obtain factors causing infusion seepage;
step four: an analysis report generation module generates an analysis report;
step five: and the report statistic storage module is used for storing the generated analysis reports in a classified manner.
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| CN202210114890.3A CN114446456A (en) | 2022-01-31 | 2022-01-31 | Infusion seepage big data analysis management system |
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| CN202210114890.3A CN114446456A (en) | 2022-01-31 | 2022-01-31 | Infusion seepage big data analysis management system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170154162A1 (en) * | 2014-07-09 | 2017-06-01 | Bayer Healthcare Llc | Systems and methods for managing adverse reactions in contrast media-based medical procedures |
| US20170157339A1 (en) * | 2015-07-13 | 2017-06-08 | Boe Technology Group Co., Ltd. | Detection system and detection method for intravenous injection leakage |
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| CN113140284A (en) * | 2021-04-09 | 2021-07-20 | 阜外华中心血管病医院 | Infusion extravasation phenomenon data collection and visual analysis based on big data analysis |
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2022
- 2022-01-31 CN CN202210114890.3A patent/CN114446456A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170154162A1 (en) * | 2014-07-09 | 2017-06-01 | Bayer Healthcare Llc | Systems and methods for managing adverse reactions in contrast media-based medical procedures |
| US20170157339A1 (en) * | 2015-07-13 | 2017-06-08 | Boe Technology Group Co., Ltd. | Detection system and detection method for intravenous injection leakage |
| US20190392923A1 (en) * | 2018-06-21 | 2019-12-26 | Gary P. Warren | System for Annotating a Patient Record |
| CN113140283A (en) * | 2021-04-09 | 2021-07-20 | 阜外华中心血管病医院 | Remaining needle drug exudation treatment recommendation system and method based on comprehensive group data analysis |
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| Title |
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