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Design And Implementation Of Pathology Quality Control Management Information System Based On.NET

Posted on:2016-04-19Degree:MasterType:Thesis
Country:ChinaCandidate:M L SongFull Text:PDF
GTID:2298330467990998Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The vigorous development of computer science provides effective support for various industries, theory and technology continue to be applied to the medical field, thus the construction of the hospital information system gains considerable progress. The pathology quality control information system as one of the important module major serves the pathology specimen operations and diagnosis. Efficiently storaging and handling specimen information is conducive to standardization process, sharing information, to strengthen pathology quality control and management.By analyzing the special work of pathology department, the paper determines the design goals about system, and makes the requirements analysis on the corresponding function and performance. With the.NET Framework, Microsoft Visual2010, and SQL Server2008database as the support environment, using the C#language constructs the pathological quality control management information system on C/S and B/S hybrid architecture. For system the functions design includes eight modules, such as basic data entry module, drawing management module, tissue embedded management module, tissue sections management module, staining encourage module, reading and auditing management module, pathological diagnosis module, report and query module, to achieve daily operational processes. Basic on the characteristic of the sample information, the system determines the database structure and assigns different levels of permissions to protect the stability and security.In the pathological diagnosis module, the system is added the intelligent pathological diagnosis model combining rough sets and support vector machine theory. This model removes redundant attributes using rough sets, gets the important attribute characteristics, and then put the hepatitis sample data which is from the UCI database into classifier constructed by support vector machine to train and validate the availability. The results show that the combined classifier speed nearly doubled and enhance the accuracy of92.6%. To reduce the subjectivity of manual diagnosis and improve its accuracy the aided diagnosis model as a key technology is an important development trend of intelligent diagnosis in the future.Then the article describes the interface and operation of a few important functions modules, and combines with image video capture, print application forms and reports as well as security policies to achieve specific features for pathology quality control management information system. The last section summarizes the full content and specific features, then elaborates further follow-up research.In recent years with the development of medical theory and technology, the pathology work tends to be more complicated. For the hospital internal user, the excellent user interface simplifies sample inspection process. While the standardization on the information registration, processing and sharing is conducive to quality control and improve the efficiency for medical staff; on this platform different hospital could query and statistical pathology sample information to promote technology exchange and advancement. In this paper the system has a good prospect for pathological quality control, effectively carries out the diagnosis and promotes the comprehensive construction of hospital computerization.
Keywords/Search Tags:Pathology quality control, .NET, Rough Sets, Support vector machine
PDF Full Text Request
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