Discovering validation rules from microbiological data
New Generation Computing - Special issue: Chance discovery
Ethics, robotics and medicine development
ISPRA'10 Proceedings of the 9th WSEAS international conference on Signal processing, robotics and automation
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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Antimicrobial resistance is an increasing issue of our days attracting the attention of medical community due to its evolution from a controllable phenomenon into a serious public health problem. The emergence and spread of the bacterial resistance to antibiotics are negative consequences of the excessively use of these substances in human or veterinary medicine and agriculture. Worldwide, hospitals represent the component in which this phenomenon has become critical. The aim of the study was to analyze the results of the implementation of a WEB-based program for the surveillance of the resistance to antibiotics in the Clinical County Emergency Hospital of Brasov, Romania, and the optimization of this application. The program allows the generation of analysis reports regarding the distribution of circulating germs in the hospital departments and the patterns of resistance to antibiotics related to the type of pathology. In implementing the solution we had to address the issue of making the Web-program available to a large category of users (epidemiologists, specialist doctors, managers), providing a user-friendly interface and selecting the software and technology that offer the minimal development and maintenance costs. The application represents a low cost solution, easy available to the personnel and may be applied in any hospital. Implementing this solution as a web application brings all the advantages offered by this technology which consist in interoperability, easy to access and to integrate, reusability. The proposed implementation takes advantages of using the top open source standards and platforms. The application can be a powerful support toll of decision in clinical practice, regarding the antibiotic prescription and control. It may be also very useful in surveillance and management of nosocomial infections. The proposed optimization will lead to the extension of the application functionality in order to obtain additional information for the monitoring of germs with high resistance (ESBL, MRSA, HLRE) and of the bacterial strains implicated in the etiology of nosocomial infections.