LU505589B1 - Basic life support decision-making system underartificial intelligence - Google Patents
Basic life support decision-making system underartificial intelligence Download PDFInfo
- Publication number
- LU505589B1 LU505589B1 LU505589A LU505589A LU505589B1 LU 505589 B1 LU505589 B1 LU 505589B1 LU 505589 A LU505589 A LU 505589A LU 505589 A LU505589 A LU 505589A LU 505589 B1 LU505589 B1 LU 505589B1
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- Luxembourg
- Prior art keywords
- decision
- making system
- monitoring
- monitoring module
- life support
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- 238000012544 monitoring process Methods 0.000 claims abstract description 56
- 230000002159 abnormal effect Effects 0.000 claims abstract description 19
- 238000013473 artificial intelligence Methods 0.000 claims abstract description 13
- 210000002345 respiratory system Anatomy 0.000 claims abstract description 7
- 230000036760 body temperature Effects 0.000 claims abstract description 5
- 230000003444 anaesthetic effect Effects 0.000 claims abstract description 4
- 230000003387 muscular Effects 0.000 claims abstract description 4
- 230000036772 blood pressure Effects 0.000 claims description 4
- 230000000241 respiratory effect Effects 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 230000000747 cardiac effect Effects 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 238000006213 oxygenation reaction Methods 0.000 claims description 3
- 230000002792 vascular Effects 0.000 claims description 3
- 206010002091 Anaesthesia Diseases 0.000 description 2
- 230000037005 anaesthesia Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
- 230000006641 stabilisation Effects 0.000 description 1
- 238000011105 stabilization Methods 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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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
- G16H40/60—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 operation of medical equipment or devices
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Epidemiology (AREA)
- Data Mining & Analysis (AREA)
- Primary Health Care (AREA)
- Pathology (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- General Business, Economics & Management (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a basic life support decision-making system under artificial intelligence, comprising monitoring end, decision-making system, and output end; the monitoring end comprises circulatory system monitoring module, respiratory system monitoring module, body temperature monitoring module, anesthetic depth monitoring module, and muscular relaxation monitoring module; the monitoring end monitors the patient’s vital sign data and conveys the vital sign data to the decision-making system; the decision-making system automatically identifies abnormal situation of vital sign based on the data collected by the monitoring end, makes cause analysis and judgement, and generates a decision scheme; the output end outputs the decision scheme generated by the decision-making system. The invention can clearly categorize the monitoring indicators, which is easy to observe; the decision-making system categorizes the abnormal indicators separately, which is not easy to omit, and automatically generates medical decisions based on the vital signs and treatment guidelines, which can be selected or changed by the physician, thus reducing the physician’s work intensity.
Description
BASIC LIFE SUPPORT DECISION-MAKING SYSTEM UNDER ARTIFICIAL
INTELLIGENCE
1. Technical Field
The invention relates to the technical field of medical apparatus, in particular to a basic life support decision-making system under artificial intelligence. 2. Background Art
The human body has four major vital signs: blood pressure, heart rate, respiration and body temperature. Stabilization of vital signs 1s essential for survival. Vital signs are also the most essential indications during anesthesia period of patient and treatment period in the intensive care unit. Maintaining stable vital signs 1s also a basic strategy for clinicians in clinical care.
Currently, vital signs are monitored separately, and the instruments used for monitoring are provided by different manufacturers. Currently, there 1s an increasing number of clinical monitoring programs for the respiratory or circulatory system. Clinicians must detect abnormalities in the patient’s signs through their own close observation, and then make a comprehensive analysis based on their own medical knowledge and clinical experience, and finally make treatment decisions. This working mode has the following shortcomings: 1. Due to the large number of monitoring programs and the large amount of monitored data, human observation may miss certain monitoring data and information with important value: 2. the treatment of many symptoms has now been standardized and clarified, but clinicians are limited in their areas of expertise and cannot fully grasp the details of the treatment of each clinical sign, thus leading to bias in the treatment effect; 3. The patient’s sign data are ultimately handled by the doctor, which increases the burden of healthcare workers, and due to the prolonged fatigue work, it will reduce the doctor’s work efficiency, and even produce decision-making bias; 1
4. Monitoring requires a plurality of machines and monitoring equipment, and the 7505589 equipment will take up a large amount of area in the operating room or monitoring ward, which will create certain obstacles to the normal treatment and care of medical staff.
In summary, patients during anesthesia or in intensive care wards need a system that can integrate the monitoring of vital signs, automatically analyze and judge abnormal sign data, and can automatically make decisions to help doctors complete the final treatment decisions to a certain extent. 3. Summary of the Invention
The invention aims to overcome said technical problem and provide a basic life support decision-making system under artificial intelligence. The invention adopts following technical scheme to realize said purpose: a basic life support decision-making system under artificial intelligence, comprising monitoring end, decision-making system, and output end; the monitoring end comprises circulatory system monitoring module, respiratory system monitoring module, body temperature monitoring module, anesthetic depth monitoring module, and muscular relaxation monitoring module; the monitoring end monitors the patient’s vital sign data and conveys the vital sign data to the decision-making system; the decision-making system automatically identifies abnormal situation of vital sign based on the data collected by the monitoring end, makes cause analysis and judgement, and generates a decision scheme; the output end outputs the decision scheme generated by the decision-making system.
As an improvement, said circulatory system monitoring module monitors blood pressure, central venous, cardiac output, vascular resistance and electrocardiogram, etc.
As an improvement, said respiratory system monitoring module monitors oxygenation index, respiratory dynamics parameter, oxygen concentration and the like.
As an improvement, normal value range of the detection data is preset in said decision-making system, and normal data and abnormal data are categorized according to the normal value range.
As an improvement, said decision-making system uniformly lists abnormal values and 2 automatically generates treatment decision based on the data of abnormal values and HUS05589 treatment guideline for the corresponding signs of the data.
As an improvement, said decision-making system is provided with correction terminal, and the physician modifies the treatment decision through the correction terminal.
As an improvement, said decision-making system outputs the abnormal data and treatment decision to the output end.
As an improvement, said output end generates monitoring record and medical advice based on the decision-making system.
As an improvement, said output end is also connected to the HIS system of the hospital.
The invention has following advantages: 1. The invention can clearly categorize the monitoring indicators, which is easy to observe; 2. The abnormal indicators is categorized separately, which is not easy to omit; 3. Medical decisions are generated automatically based on signs and treatment guidelines, which can be selected or changed by the physician, reducing the physician’s work intensity; 4. Integrated monitoring of vital signs and intelligent decision-making make treatment more standardized; 5. Centralized combination of monitoring equipment reduces space waste. 4. Brief Description of Accompany Drawings
FIG. 1 is the diagram illustrating the working principle of the invention.
S. Specific Embodiment of the invention
The invention is further described in detail hereinafter with reference to the embodiment for the purpose of better understanding the invention and do not constitute a limitation of the invention.
Embodiment 1
The monitoring end comprises circulatory system monitoring module, respiratory system monitoring module, body temperature monitoring module, anesthetic depth monitoring module, and muscular relaxation monitoring module; the monitoring end 3 monitors the patient’s vital sign data and conveys the vital sign data to the decision-making 7505589 system; the circulatory system monitoring module monitors blood pressure, central venous, cardiac output, vascular resistance and electrocardiogram, etc. The respiratory system monitoring module monitors oxygenation index, respiratory dynamics parameter, oxygen concentration and the like.
The decision-making system automatically identifies abnormal situation of vital sign based on the data collected by the monitoring end, makes cause analysis and judgement, and generates a decision scheme; normal value range of the detection data is preset in said decision-making system, and normal data and abnormal data are categorized according to the normal value range. The decision-making system uniformly lists abnormal values and automatically generates treatment decision based on the data of abnormal values and treatment guideline for the corresponding signs of the data. The decision-making system is provided with correction terminal, and the physician modifies the treatment decision through the correction terminal. The decision-making system outputs the abnormal data and treatment decision to the output end.
The output end outputs the decision scheme generated by the decision-making system.
The output end is also connected to the HIS system of the hospital, and generates monitoring record and medical advice and other information.
The invention and its embodiments have been described above, but the description is not limited thereto; only one embodiment of the invention is shown in the drawings, and the actual structure is not limited thereto. In general, it is to be understood by those skilled in the art that non-creative design of structural forms and embodiments that are similar to the technical solutions without departing from the spirit of the invention shall all fall within the protective scope of the invention. 4
Claims (9)
1. A basic life support decision-making system under artificial intelligence, comprising monitoring end, decision-making system, and output end; the monitoring end comprises circulatory system monitoring module, respiratory system monitoring module, body temperature monitoring module, anesthetic depth monitoring module, and muscular relaxation monitoring module; the monitoring end monitors the patient’s vital sign data and conveys the vital sign data to the decision-making system; the decision-making system automatically identifies abnormal situation of vital sign based on the data collected by the monitoring end, makes cause analysis and judgement, and generates a decision scheme; the output end outputs the decision scheme generated by the decision-making system.
2. The basic life support decision-making system under artificial intelligence of claim 1 wherein said circulatory system monitoring module monitors blood pressure, central venous, cardiac output, vascular resistance and electrocardiogram, etc.
3. The basic life support decision-making system under artificial intelligence of claim 1 wherein said respiratory system monitoring module monitors oxygenation index, respiratory dynamics parameter, oxygen concentration and the like.
4. The basic life support decision-making system under artificial intelligence of claim 1 wherein normal value range of the detection data is preset in said decision-making system, and normal data and abnormal data are categorized according to the normal value range.
5. The basic life support decision-making system under artificial intelligence of claim 4 wherein said decision-making system uniformly lists abnormal values and automatically generates treatment decision based on the data of abnormal values and
14 . . LU505589 treatment guideline for the corresponding signs of the data.
6. The basic life support decision-making system under artificial intelligence of claim wherein said decision-making system is provided with correction terminal, and the physician modifies the treatment decision through the correction terminal.
7. The basic life support decision-making system under artificial intelligence of claim 4 or 5 wherein said decision-making system outputs the abnormal data and treatment decision to the output end.
8. The basic life support decision-making system under artificial intelligence of claim 1 wherein said output end generates monitoring record and medical advice based on the decision-making system.
9. The basic life support decision-making system under artificial intelligence of claim 1 wherein said output end is also connected to the HIS system of the hospital.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU505589A LU505589B1 (en) | 2023-11-21 | 2023-11-21 | Basic life support decision-making system underartificial intelligence |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| LU505589A LU505589B1 (en) | 2023-11-21 | 2023-11-21 | Basic life support decision-making system underartificial intelligence |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| LU505589B1 true LU505589B1 (en) | 2024-05-21 |
Family
ID=91129063
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| LU505589A LU505589B1 (en) | 2023-11-21 | 2023-11-21 | Basic life support decision-making system underartificial intelligence |
Country Status (1)
| Country | Link |
|---|---|
| LU (1) | LU505589B1 (en) |
-
2023
- 2023-11-21 LU LU505589A patent/LU505589B1/en active IP Right Grant
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| Date | Code | Title | Description |
|---|---|---|---|
| FG | Patent granted |
Effective date: 20240521 |