CN103268411A - Quantification system for chemoradiotherapy standardized quality control - Google Patents
Quantification system for chemoradiotherapy standardized quality control Download PDFInfo
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- CN103268411A CN103268411A CN2013101869490A CN201310186949A CN103268411A CN 103268411 A CN103268411 A CN 103268411A CN 2013101869490 A CN2013101869490 A CN 2013101869490A CN 201310186949 A CN201310186949 A CN 201310186949A CN 103268411 A CN103268411 A CN 103268411A
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Abstract
The invention discloses a quantification system for chemoradiotherapy standardized quality control. The quantification system comprises a quality control entry system, a quality control quantification system, a quality control feedback system and a quality control database, wherein the quality control entry system stores quality control records into the quality control database; the quality control quantification system performs quantitative grading on the quality control records by aid of the neural network and learns the quantitative grading standard instructed by professors; the quality control feedback system is used for inquiring the quality control quantification records and quality control grades in the quality control database; and the quality control database is used for storing all the quality control records, quality control grades and neural network parameters. The quantification system can accurately instruct the medical staff to perform practical and effective chemoradiotherapy through quantitative evaluation, is beneficial to objective therapeutic schedule evaluation and enables the administrative department to analyze the diagnoses and treatment level of the medical staff and the treatment conditions of corresponding cancers, and accordingly improves medical resource distribution and the medical care quality.
Description
Technical field
The present invention relates to a kind of quantization system of chemicotherapy standardization quality control.
Background technology
Artificial neural network abbreviates neural network as, is a kind of mathematical model of simulating biological neural network,
It is connected to each other by a plurality of artificial neurons forms, each neuron pair is weighted summation with the output of its input linked neurons, and by a transport function result of calculation of self is exported to and its output linked neurons can be the to external world given excitation input of the neural network output of making a response thus.By training the strength of joint that can change between each neuron, namely import the weight of weighting, thus influences such as activation between the realization neuron in various degree or inhibition.Neural network is a kind of non-linear statistical data modeling tool, can be used to relation complicated between input and output is carried out modeling, or is used for the pattern of heuristic data.
Standardization quality control in the chemicotherapy process is carried out quality control to medical care precess standardization degree, accurately instruct the medical worker to carry out effective chemicotherapy treatment by the assessment that quantizes, avoid the wrong treatment that the difference of case understanding etc. caused because of different physicians or over-treatment to cause the extra financial burden of patient, quality of life to descend or even dead.On the other hand, appreciable objective standard is conducive to the medical worker therapeutic scheme is assessed objectively, the administrative authority that also is conducive to hospital, country analyzes medical worker's treatment level and corresponding treatment for cancer situation, improves medical resource accordingly and distributes, and improves quality of medical care.
Summary of the invention
The object of the present invention is to provide a kind of quantization system of chemicotherapy standardization quality control.
The technical scheme that technical solution problem of the present invention adopts is as follows:
A kind of quantization system of chemicotherapy standardization quality control comprises following four parts: Quality Control input system, Quality Control quantization system, Quality Control feedback system, Quality Control database;
Described Quality Control input system, the data that are used for collecting the operational circumstances for the treatment of, the data of institute's typing can be stored in the described Quality Control database as the Quality Control record;
Described Quality Control quantization system utilizes neural network that Quality Control record in the described Quality Control database is quantized scoring and marks to obtain Quality Control, and provides the expert assessment and evaluation interface to allow the expert to instruct neural network learning Quality Control scoring quantitative criteria;
Described Quality Control feedback system, the user interface that provides described Quality Control to mark is used for the described Quality Control record of inquiry and quantizes appraisal result accordingly;
Described Quality Control database for each system provides the data support, is preserved the parameter that described Quality Control is recorded, corresponding Quality Control is marked, the artificial neural network of described Quality Control quantization system arrives by expert's guidance learning.
The beneficial effect that the present invention has is: the quantization system of chemicotherapy standardization quality control provides complete chemicotherapy standardization quality control record and evaluation function, for follow-up therapeutic scheme is determined and therapeutic quality feedback etc. provides the data basis, and can provide guidance for successive treatment.
Description of drawings
Fig. 1 is the quantization system structural drawing of chemicotherapy standardization quality control.
Fig. 2 is the process flow diagram of Quality Control record typing.
Fig. 3 is the process flow diagram of Quality Control quantization system study Quality Control scoring quantitative criteria.
Fig. 4 is Quality Control feedback system operational flowchart.
Embodiment
The present invention is further illustrated below in conjunction with drawings and Examples.
As shown in Figure 1, the quantization system of chemicotherapy standardization quality control comprises Quality Control input system, Quality Control quantization system, Quality Control feedback system and Quality Control database four parts.The Quality Control typing is used for the Quality Control record of doctor or nurse's typing medical procedure, and the Quality Control record of typing is stored in the Quality Control database.The Quality Control quantization system reads the Quality Control record from the Quality Control database, utilize neural network that the Quality Control record is quantized scoring, and deposit the Quality Control scoring that obtains in the Quality Control database, thereby the Quality Control quantization system also provide the expert assessment and evaluation interface allow the expert to the Quality Control record scoring instruct neural network to quantize scoring study.The Quality Control feedback system provides the user interface of Quality Control scoring, reads Quality Control record and corresponding Quality Control scoring from the Quality Control database, is inquired about by the supervisor.The Quality Control database for each system provides the data support, is preserved the parameter that the artificial neural network in Quality Control record, Quality Control scoring and the Quality Control quantization system arrives by expert's guidance learning.
As shown in Figure 2, after the chemicotherapy treatment in the stage of execution, call Quality Control input system typing Quality Control record by doctor or nurse, the Quality Control record has comprised all therapeutic process situations.After the typing of Quality Control record finished, system call Quality Control quantization system calculated Quality Control and records corresponding Quality Control scoring, and deposited Quality Control record and Quality Control scoring in the Quality Control database.
As shown in Figure 3, when Quality Control scoring quantitative criteria changed or needs further to promote precision, Quality Control scoring quantitative criteria learning process started, and at first screening obtains suitable study case from the Quality Control database, by the expert these cases is marked then.Case and expert's scoring pass to the Quality Control quantization system, and artificial neural network begins to relearn.Artificial neural network state after study is finished is saved in the Quality Control database.
As shown in Figure 4, the monitor staff calls the Quality Control feedback system and specifies the Quality Control record standard that will check, the Quality Control feedback system is standard search Quality Control database and obtain corresponding Quality Control record and Quality Control scoring accordingly, then needs to recomputate the Quality Control scoring and upgrades the Quality Control database if the artificial neural network of Quality Control quantization system relearns after obtaining these scorings.Final result is shown to the monitor staff by user interface.
Claims (1)
1. the quantization system of a chemicotherapy standardization quality control is characterized in that, comprises following four parts: Quality Control input system, Quality Control quantization system, Quality Control feedback system, Quality Control database;
Described Quality Control input system, the data that are used for collecting the operational circumstances for the treatment of, the data of institute's typing can be stored in the described Quality Control database as the Quality Control record;
Described Quality Control quantization system utilizes neural network that Quality Control record in the described Quality Control database is quantized scoring and marks to obtain Quality Control, and provides the expert assessment and evaluation interface to allow the expert to instruct neural network learning Quality Control scoring quantitative criteria;
Described Quality Control feedback system, the user interface that provides described Quality Control to mark is used for the described Quality Control record of inquiry and quantizes appraisal result accordingly;
Described Quality Control database for each system provides the data support, is preserved the parameter that described Quality Control is recorded, corresponding Quality Control is marked, the artificial neural network of described Quality Control quantization system arrives by expert's guidance learning.
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| CN2013101869490A CN103268411A (en) | 2013-05-20 | 2013-05-20 | Quantification system for chemoradiotherapy standardized quality control |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101546360A (en) * | 2009-04-23 | 2009-09-30 | 北京望升伟业科技发展有限公司 | Method for achieving surgical safety check and operation surgical risk evaluation information management on PDA |
| CN102265280A (en) * | 2008-12-23 | 2011-11-30 | 霍夫曼-拉罗奇有限公司 | Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device |
| US20120059790A1 (en) * | 2010-09-08 | 2012-03-08 | Institut Telecom-Telecom Paristech | Method for providing with a score an object, and decision-support system |
| US20120154582A1 (en) * | 2010-09-14 | 2012-06-21 | General Electric Company | System and method for protocol adherence |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102265280A (en) * | 2008-12-23 | 2011-11-30 | 霍夫曼-拉罗奇有限公司 | Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device |
| CN101546360A (en) * | 2009-04-23 | 2009-09-30 | 北京望升伟业科技发展有限公司 | Method for achieving surgical safety check and operation surgical risk evaluation information management on PDA |
| US20120059790A1 (en) * | 2010-09-08 | 2012-03-08 | Institut Telecom-Telecom Paristech | Method for providing with a score an object, and decision-support system |
| US20120154582A1 (en) * | 2010-09-14 | 2012-06-21 | General Electric Company | System and method for protocol adherence |
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Application publication date: 20130828 |