CN103198220A - Computer-aided antibacterial agent clinical application mid-diagnosis decision making system - Google Patents
Computer-aided antibacterial agent clinical application mid-diagnosis decision making system Download PDFInfo
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- CN103198220A CN103198220A CN2013101193242A CN201310119324A CN103198220A CN 103198220 A CN103198220 A CN 103198220A CN 2013101193242 A CN2013101193242 A CN 2013101193242A CN 201310119324 A CN201310119324 A CN 201310119324A CN 103198220 A CN103198220 A CN 103198220A
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Abstract
A computer-aided antibacterial agent clinical application mid-diagnosis decision making system comprises an antibacterial agent correspondence building module, a patient data acquisition module and an auxiliary decision making module. The antibacterial agent correspondence building module is used for making the antibacterial agent correspondence contrast to etiological examination parameter according to antibacterial agent, antibacterial activity index, antibacterial spectrum index, pharmacokinetics index, safety index, economical comprehensive advantage and disadvantage weighting index and susceptibility testing result index and compared with the etiological examination parameter and inflammation index dynamic result of a patient. The patient data acquisition module is used for conducting etiological examination according to condition of the patient and specimen condition to obtain the etiological examination parameter and inflammation index according to an etiological examination result. The auxiliary decision making module is used for automatically correlating the antibacterial agent correspondence according to the automatically collected etiological examination parameter and the inflammation index to obtain an antibacterial agent name used in auxiliary suggestion. The system adopts the computer-aided decision making mode and promotes pharmacy reasonability.
Description
Technical field
The present invention relates to the antibacterials clinical practice of a kind of hospital and examine a decision system.
Background technology
Under the existence conditions, there are common several wrong understandings in antibacterials in the process that hospital clinical uses.
Wrong understanding 1: antibacterials equal antiphlogistic, and antibacterials directly do not play a role at inflammation, but play the effect of killing at the microorganism that causes inflammation.Antiphlogistic is at inflammation, such as analgesics anti-inflammatories such as aspirin commonly used.Majority take for antibacterials can treat all inflammation.In fact antibacterials are only applicable to by bacterial inflammation, and invalid to the inflammation that is caused by virus.Have a large amount of normal useful floras in the human body, if use the antibacterial drug therapy aseptic inflammation, these medicines can constrain and kill useful flora in the human body, cause flora imbalance, cause resistibility to descend.The inflammation that the contact dermatitis that the extravasated blood of recurrent local soft tissue, redness, pain, allergic reaction cause in the daily life, deramatitis medicamentosa and virus cause etc. all should not use antibacterials to treat.
The understanding 2 of mistake: extensive pedigree antibiotic be better than principle that narrow spectrum antibiotic thing antibacterials use be can with narrow spectrum without wide spectrum, can need not be senior with rudimentary, with a kind of can deal with problems just need not two kinds.
The understanding 3 of mistake: new antibacterials are better than old, and good every kind of antibacterials have self-characteristic to expensive antibacterials in fact than cheap, and the advantage inferior position has nothing in common with each other, generally will be due to illness, because the people selects, adhere to individual administration.
The understanding 4 of mistake: use the antibacterials kind more many, more can control effectively and infect drug combination and can increase some Irrational Use of Drugs factors, may lessen the curative effect, and be easy to generate toxic and side effect or bacterium to the drug resistance of medicine.
The understanding 5 of mistake: fever just uses antibacterials, antibacterials to be only applicable to the inflammation heating that is caused by bacterium and other microorganisms of part, gives antibacterial drug therapy to patients such as virus flu, measles, mumps, cold, influenzas and does harm rather than good.Sphagitis, infection of the upper respiratory tract person mostly are virus and cause, antibacterials are invalid.
The understanding 6 of mistake: frequently change antibacterials, the curative effect of antibacterials has the one-period problem, if use the curative effect of certain antibacterials temporarily bad, at first should consider the administration time deficiency.In addition, method of administration factors such as immune functional state improper and whole body also can influence the curative effect of antibacterials.If relevant with these factors, as long as adjusted, curative effect will improve.The frequent medicine of changing can cause the medication confusion, thus the injury health.Moreover frequently changing dressings is easy to make the bacterium generation to the drug resistance of multiple medicine.
The understanding 7 of mistake: in case effectively with regard to drug withdrawal, the administration time deficiency might be can not see effect at all; Even if seen effect, also should under doctor's guidance, obey enough necessary cycles.If some effects have been arranged with regard to drug withdrawal, not only control bad disease, the state of an illness also may be because remaining bacterium does mischief and rebounds.
WHO thinks that there are three harm in the abuse antibacterials:
1, bring out bacterial resistance: pathogenic microorganism is for hiding medicine in continuous variation, and antibody-resistant bacterium also produces thereupon.At present, almost there are not a kind of antibacterials not have the resistance phenomenon.
2, infringement human organ: antimicrobial also can cause the human body infringement, as influence liver, renal function, gastrointestinal reaction and cause alpastic anemia etc. in sterilization.
3, cause suprainfection: under the normal condition, human oral cavity, respiratory tract, enteron aisle have the bacterium parasitism, post to grow flora and mutually keeping equilibrium state under the antagonism.If use extensive pedigree antibiotic for a long time, sensitive bacteria can be killed, and insensitive bacterium seizes the opportunity breeding, and not repressed bacterium, fungi and foreign bacteria also can be taken advantage of a weak point, and brings out again and infects.
The understanding of the various mistakes in the antibacterials clinical practice, trace it to its cause be because still lack a kind of can the clinical system of examining a computer aided decision making of more effective antibacterials.The doctor in the diagnosis and treatment process owing to be confined to oneself knowledge and experience, the treatment decision scheme that can not make.
Summary of the invention
For overcome exist in the existing clinical use of antibacterials only rely on doctor self experience, the relatively poor deficiency of rationality, the invention provides a kind of employing computer aided decision making, promote the clinical practice of the rational area of computer aided antibacterials of medication and examine a decision system.
The technical solution adopted for the present invention to solve the technical problems is:
A decision system is examined in the clinical practice of a kind of area of computer aided antibacterials, and described decision system comprises:
The antibacterials corresponding relation building module, in order to index and the drug sensitive experiment index as a result of comprehensively weighing the advantages and disadvantages according to antibacterials, antibacterial activity index, antimicrobial spectrum index, pharmacokinetics, safety indexes, economy, and contrast patient's etiological examination parameter and inflammation index and sample situation, formulate the antibacterials corresponding relation that contrasts the etiological examination parameter;
Patient data's acquisition module is used for carrying out etiological examination according to patient's the state of an illness and sample situation, obtains etiological examination parameter and inflammation index according to the etiological examination results acquisition;
The aid decision making module in order to etiological examination parameter and the inflammation index according to automatic collection, is searched described antibacterials corresponding relation, obtains the antibacterials title that auxiliary suggestion is used.
Further, described antibacterials corresponding relation building module, at least two kinds of different antibacterials titles of the corresponding priority of a kind of etiological examination parameter.
Further, in described patient data's acquisition module, collect and make the inflammation index performance graph according to the inflammation index check result, set up corresponding relation in time with the use antibacterials simultaneously.
Beneficial effect of the present invention mainly shows: adopt computer aided decision making, promote the medication rationality.
Description of drawings
Fig. 1 is the process flow diagram that a decision process is examined in the clinical practice of area of computer aided antibacterials.
Embodiment
Below in conjunction with accompanying drawing the present invention is further described.
With reference to Fig. 1, a decision system is examined in the clinical practice of a kind of area of computer aided antibacterials, and described decision system comprises:
The antibacterials corresponding relation building module, in order to index and the drug sensitive experiment index as a result of comprehensively weighing the advantages and disadvantages according to antibacterials, antibacterial activity index, antimicrobial spectrum index, pharmacokinetics, safety indexes, economy, and contrast patient's etiological examination parameter and inflammation index dynamic result, formulate the antibacterials corresponding relation that contrasts the etiological examination parameter;
Patient data's acquisition module carries out etiological examination in order to the state of an illness and sample situation according to patient, obtains etiological examination parameter and inflammation index according to the etiological examination results acquisition;
The aid decision making module in order to etiological examination parameter and the inflammation index according to automatic collection, is searched described antibacterials corresponding relation, obtains the antibacterials title that auxiliary suggestion is used.
Further, described antibacterials corresponding relation building module, at least two kinds of different antibacterials titles of the corresponding priority of a kind of etiological examination parameter.
Further, in described patient data's acquisition module, collect and make the inflammation index performance graph according to the inflammation index check result, set up corresponding relation in time with the use antibacterials simultaneously.
In the present embodiment, according to patient's state of an illness, etiological examination, medication reason, set up antibacterials, antibacterial activity index, antimicrobial spectrum index, pharmacokinetics and bad reaction index, from pharmacodynamic index, pharmacokinetics index, safety indexes and the economy index of comprehensively weighing the advantages and disadvantages, in conjunction with drug sensitive experiment as a result the index state of an illness and the etiological examination result that formulate the therapeutic regimen patient generate preferred antibacterials corresponding relation.The decision scheme that provides a kind of area of computer aided doctor to open doctor's advice between examining, auxiliary doctor makes final decision-making.
The present invention specifically may further comprise the steps by computer aided decision system:
The first step, establishment antibacterials clinical practice doctor's advice is opened the interface in computer system;
Second goes on foot, opens in doctor's advice interface record patient's pathography;
Etiological examination is carried out in the 3rd step, pressure, namely carries out etiological examination according to patient's the state of an illness and sample situation;
The 4th step, grasp the etiological examination result automatically, and understand corresponding (comprise that the result understands and at the antibacterial drug therapy selection of each pathogen) with the cause of disease check result;
The 5th step, screening antibacterials;
The 6th step, system generate available antibacterials;
The 7th the step, in operating system, according to antibacterials, antibacterial activity index, antimicrobial spectrum index, pharmacokinetics, safety indexes and the economy index of comprehensively weighing the advantages and disadvantages, in conjunction with drug sensitive experiment as a result the index state of an illness of formulating the therapeutic regimen patient generate five groups of different antibacterials of priority with the etiological examination result;
The 8th step, arrange sequencing according to the price of medication and state of an illness grade of fit;
The 9th goes on foot, selects the preferred antibacterials of auxiliary suggestion.
Wherein, the mathematical model of antibacterials corresponding relation is as follows:
Mu=A∩B∩C∩D∩E∩F∩G
A=antibacterial activity index, B=antimicrobial spectrum index, C=pharmacokinetics index, D=safety indexes, E=economy comprehensively weigh the advantages and disadvantages index pharmacokinetics, F=drug sensitive experiment index, G=etiological examination result and inflammation index as a result
Mu: optimum medication.
In the 7th step of present embodiment, also can generate two groups, three groups or other many group antibacterials, the ordering of priority is carried out the priority ordering with reference to the size of the weighted value of one of them index or a plurality of indexs.
Claims (3)
1. a decision system is examined in area of computer aided antibacterials clinical practice, it is characterized in that: described decision system comprises:
The antibacterials corresponding relation building module, in order to index and the drug sensitive experiment index as a result of comprehensively weighing the advantages and disadvantages according to antibacterials, antibacterial activity index, antimicrobial spectrum index, pharmacokinetics index, safety indexes, economy, and contrast patient's etiological examination parameter and inflammation index dynamic result, formulate the antibacterials corresponding relation that contrasts the etiological examination parameter;
Patient data's acquisition module carries out etiological examination in order to the state of an illness and sample situation according to patient, obtains etiological examination parameter and inflammation index according to the etiological examination result;
The aid decision making module, in order to etiological examination parameter and the inflammation index according to automatic collection, the described antibacterials corresponding relation of auto-associating obtains the antibacterials title that auxiliary suggestion is used.
2. a decision system is examined in area of computer aided antibacterials as claimed in claim 1 clinical practice, it is characterized in that: described antibacterials corresponding relation building module, at least two kinds of different antibacterials titles of the corresponding priority of a kind of etiological examination parameter.
3. a decision system is examined in area of computer aided antibacterials as claimed in claim 1 or 2 clinical practice, it is characterized in that: in described patient data's acquisition module, collect and make the inflammation index performance graph according to the inflammation index check result, set up corresponding relation in time with the use antibacterials simultaneously.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104615904A (en) * | 2015-02-28 | 2015-05-13 | 领智控股有限公司 | Antibacterial medicament clinical application decision support system and constructing method thereof |
| CN107301319A (en) * | 2017-06-26 | 2017-10-27 | 陈栋 | Antibiogics usage assessment of risks system in Pediatric Clinic and scientific research |
| CN112509709A (en) * | 2020-11-25 | 2021-03-16 | 杭州睿知科技有限公司 | Clinical decision support system for therapeutic use of antibacterial drugs for inpatients |
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 |
| WO2007150005A2 (en) * | 2006-06-22 | 2007-12-27 | Multimodal Technologies, Inc. | Automatic decision support |
| KR20090044248A (en) * | 2007-10-31 | 2009-05-07 | 재단법인서울대학교산학협력재단 | Clinical decision support system using medical logic module based on arden syntax |
| CN102004863A (en) * | 2010-12-15 | 2011-04-06 | 中国人民解放军第四军医大学 | Clinical safe and reasonable administration decision supporting method |
| CN102722645A (en) * | 2012-05-29 | 2012-10-10 | 上海市第十人民医院 | Construction method and management system for use regulation knowledge base of clinical antibacterial medicines |
| CN102737165A (en) * | 2012-06-07 | 2012-10-17 | 北京太元通软件科技有限公司 | Clinical medication decision support system |
-
2013
- 2013-04-08 CN CN2013101193242A patent/CN103198220A/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 |
| WO2007150005A2 (en) * | 2006-06-22 | 2007-12-27 | Multimodal Technologies, Inc. | Automatic decision support |
| KR20090044248A (en) * | 2007-10-31 | 2009-05-07 | 재단법인서울대학교산학협력재단 | Clinical decision support system using medical logic module based on arden syntax |
| CN102004863A (en) * | 2010-12-15 | 2011-04-06 | 中国人民解放军第四军医大学 | Clinical safe and reasonable administration decision supporting method |
| CN102722645A (en) * | 2012-05-29 | 2012-10-10 | 上海市第十人民医院 | Construction method and management system for use regulation knowledge base of clinical antibacterial medicines |
| CN102737165A (en) * | 2012-06-07 | 2012-10-17 | 北京太元通软件科技有限公司 | Clinical medication decision support system |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104615904A (en) * | 2015-02-28 | 2015-05-13 | 领智控股有限公司 | Antibacterial medicament clinical application decision support system and constructing method thereof |
| CN104615904B (en) * | 2015-02-28 | 2017-12-01 | 领智控股有限公司 | Antibacterials clinical practice DSS and its construction method |
| CN107301319A (en) * | 2017-06-26 | 2017-10-27 | 陈栋 | Antibiogics usage assessment of risks system in Pediatric Clinic and scientific research |
| CN107301319B (en) * | 2017-06-26 | 2021-02-26 | 济南市儿童医院 | Antibacterial drug use risk assessment system in pediatrics and scientific research |
| CN112509709A (en) * | 2020-11-25 | 2021-03-16 | 杭州睿知科技有限公司 | Clinical decision support system for therapeutic use of antibacterial drugs for inpatients |
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Application publication date: 20130710 |