CN109448843A - A kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network - Google Patents
A kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network Download PDFInfo
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- CN109448843A CN109448843A CN201811474902.3A CN201811474902A CN109448843A CN 109448843 A CN109448843 A CN 109448843A CN 201811474902 A CN201811474902 A CN 201811474902A CN 109448843 A CN109448843 A CN 109448843A
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- intelligent evaluation
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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
- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
Abstract
The trauma patient first aid intelligent evaluation decision system based on artificial neural network that the present invention provides a kind of, comprising: clinical wound data library；Analysis and modeling module, for carrying out analysis and modeling to the wound data in the clinical wound data library；Trauma care aid decision-making system, for providing decision-making assistant information according to the analysis result of the analysis and modeling module；Clinical decision support module carries out operative treatment for determining whether according to the decision-making assistant information, and provides medical treatment resource information needed for operative treatment.The present invention can provide the foundation of science, specification for trauma care.
Description
Technical field
The present invention relates to field of medical device, and in particular to a kind of trauma patient first aid intelligence based on artificial neural network
Evaluation decision system.
Background technique
Wound is the great hygienic issues that countries in the world today generally faces.WHO Report 2000 complete
Ball dies of the number about 5,000,000 of wound, accounts for the 9% of global dead sum.The ministry of Health of China of in August, 2007 publication " China's injury
Prevent report ", about 200,000,000 person-times of injury occurs every year for display China, and dead about 70~750,000 people account for 9% left side of total toll
The right side is the 5th cause of death.Estimation is seen a doctor because of injury about 62,000,000 person-times every year, and direct payment for medical care is up to 65,000,000,000 yuan.Wound
It is easiest to involve main body --- the Young crowd of social labor power, thus the caused dead and disabled influence to social economy
In obvious ascendant trend, heavy burden is brought to society, family.At the same time, the treatment of trauma patient is often multidisciplinary
Joint give treatment to process, injury in traumatic condition of patient weight, disease progression is fast, and assessment and Treatment decsion are difficult, determines currently without reliable assessment
The therapeutic process of plan system paramedical personnel, causes inefficiency, and Personnel Dependence is strong.
On the other hand, clinical experience of the current trauma care dependent on doctor, and the medical level of various regions, each hospital
It is irregular with the clinical experience of doctor, it is difficult to realize science, normative treatment.
Summary of the invention
The purpose of the present invention is the science for wound, specification treatments to provide a kind of information-based decision system.It is above-mentioned to realize
Purpose, the embodiment provides following technical solutions:
A kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network, comprising: clinical wound data library；Point
Analysis and modeling module, for carrying out analysis and modeling to the wound data in the clinical wound data library；Trauma care auxiliary
Decision system, for providing decision-making assistant information according to the analysis result of the analysis and modeling module；Clinical decision support mould
Block carries out operative treatment for determining whether according to the decision-making assistant information, and provides the letter of medical resource needed for operative treatment
Breath.
Preferably, above-mentioned trauma patient first aid intelligent evaluation decision system further includes at least one doctor's self study
Interface, for results of surgical to be input to the trauma care aid decision-making system to realize clinical feedback.
Preferably, doctor's self study interface also allows doctor that clinical information is inputted the clinical wound number
According to library.
Preferably, above-mentioned trauma patient first aid intelligent evaluation decision system further includes that at least one expert amendment connects
Mouthful, the expert amendment interface allows clinical expert to input information to be modified to the analysis and modeling module.
Preferably, the clinical wound data library is constructed by multiple hospitals.
The embodiment of the present invention can paramedical personnel carry out trauma care, improve efficiency, reduce and doctor is faced
The dependence of bed experience, enables the clinical experience of various regions, the medical level of each hospital and doctor to be improved jointly, real
Medical data, experience, shared, the realization science, normative treatment of resource are realized on border.
Detailed description of the invention
Next the embodiment of the present invention will be described in further details in conjunction with attached drawing, in which:
Fig. 1 is the structural block diagram using the trauma patient first aid intelligent evaluation decision system of the embodiment of the present invention.
Specific embodiment
With reference to Fig. 1, a kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network of the present embodiment
It include: clinical wound data library, analysis and modeling module, trauma care aid decision-making system, clinical decision support module, doctor
Self study interface and expert amendment interface.
Clinical wound data library is constructed by one or multiple hospitals to be formed, and new clinical wound data is not received in disconnecting.
Analysis and modeling module be used for in clinical wound data library wound data carry out analysis and modeling, the analysis and
Modeling can realize that continuous self study is perfect to be able to for example, by artificial neural network.Preferably, this point
Analysis and modeling process can be established by expert amendment interface, intervened and be corrected.
Trauma care aid decision-making system is used to provide decision-making assistant information according to the analysis result of analysis and modeling module.
Clinical decision support module carries out operative treatment for determining whether according to decision-making assistant information, and provides needed for operative treatment
Medical treatment resource information.
Doctor's self study interface is used to results of surgical being input to trauma care aid decision-making system to realize clinic
Feedback.Doctor's self study interface also allows doctor that clinical information is inputted clinical wound data library, with data information of enriching constantly.
Doctor's self study interface is one or more, preferably several and be built up in different hospitals.
Expert amendment interface allows clinical expert to input information to be modified to the analysis and modeling module.Expert
Correcting interface is one or more, preferably several and be built up in different hospitals.
Trauma patient first aid intelligent evaluation decision system in the present embodiment can paramedical personnel carry out trauma care,
It improves efficiency, reduces the dependence to the clinical experience of doctor, so that various regions, the medical level of each hospital and doctor are faced
Bed experience can be improved jointly, indeed achieve medical data, experience, resource it is shared, realize science, normative
Treatment.
Above description is only presently preferred embodiments of the present invention, is not used to limit the scope of implementation of the present invention, to above-mentioned reality
The equivalence replacement and modification that example is done are applied, should all be fallen in claims of the invention.
Claims (7)
1. a kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network characterized by comprising
Clinical wound data library；
Analysis and modeling module, for carrying out analysis and modeling to the wound data in the clinical wound data library；
Trauma care aid decision-making system, for providing aid decision letter according to the analysis result of the analysis and modeling module
Breath；
Clinical decision support module carries out operative treatment for determining whether according to the decision-making assistant information, and provides operation
Medical treatment resource information needed for treating.
2. trauma patient first aid intelligent evaluation decision system according to claim 1, which is characterized in that further include doctor from
Learn interface, for results of surgical to be input to the trauma care aid decision-making system to realize clinical feedback.
3. trauma patient first aid intelligent evaluation decision system according to claim 2, which is characterized in that the doctor learns by oneself
Practising interface also allows doctor that clinical information is inputted the clinical wound data library.
4. trauma patient first aid intelligent evaluation decision system according to claim 3, which is characterized in that the doctor learns by oneself
It is multiple for practising interface.
5. trauma patient first aid intelligent evaluation decision system according to claim 1, which is characterized in that further include that expert repairs
Positive interface, the expert amendment interface allow clinical expert to input information to be modified to the analysis and modeling module.
6. trauma patient first aid intelligent evaluation decision system according to claim 5, which is characterized in that the expert amendment
Interface is multiple.
7. trauma patient first aid intelligent evaluation decision system according to claim 1, which is characterized in that the clinic wound
Database is constructed by multiple hospitals.
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| CN201811474902.3A CN109448843A (en) | 2018-12-04 | 2018-12-04 | A kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network |
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| CN201811474902.3A CN109448843A (en) | 2018-12-04 | 2018-12-04 | A kind of trauma patient first aid intelligent evaluation decision system based on artificial neural network |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040260666A1 (en) * | 2000-09-21 | 2004-12-23 | Pestotnik Stanley L. | Systems and methods for manipulating medical data via a decision support system |
| CN103565430A (en) * | 2012-07-24 | 2014-02-12 | 北京大学人民医院 | Severe trauma treatment warning communication system |
| CN104133999A (en) * | 2014-07-29 | 2014-11-05 | 上海交通大学 | Remote medical information service system for diseases of digestive tract |
| CN105023073A (en) * | 2014-04-16 | 2015-11-04 | 北京百和园科技有限公司 | Hospital intelligence assessment triage system based on artificial neural network |
| US20170308649A1 (en) * | 2016-04-25 | 2017-10-26 | Cerner Innovation, Inc. | Integrating trauma documentation into an electronic medical record |
| CN107910055A (en) * | 2017-12-12 | 2018-04-13 | 北京倍肯恒业科技发展股份有限公司 | A kind of emergency system and method |
-
2018
- 2018-12-04 CN CN201811474902.3A patent/CN109448843A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040260666A1 (en) * | 2000-09-21 | 2004-12-23 | Pestotnik Stanley L. | Systems and methods for manipulating medical data via a decision support system |
| CN103565430A (en) * | 2012-07-24 | 2014-02-12 | 北京大学人民医院 | Severe trauma treatment warning communication system |
| CN105023073A (en) * | 2014-04-16 | 2015-11-04 | 北京百和园科技有限公司 | Hospital intelligence assessment triage system based on artificial neural network |
| CN104133999A (en) * | 2014-07-29 | 2014-11-05 | 上海交通大学 | Remote medical information service system for diseases of digestive tract |
| US20170308649A1 (en) * | 2016-04-25 | 2017-10-26 | Cerner Innovation, Inc. | Integrating trauma documentation into an electronic medical record |
| CN107910055A (en) * | 2017-12-12 | 2018-04-13 | 北京倍肯恒业科技发展股份有限公司 | A kind of emergency system and method |
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