Title |
Cystic Fibrosis Cloud database: Un sistema informático para el almacenamiento y manejo de datos clínicos y microbiológicos del paciente con fibrosis quística
|
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Published in |
Revista Argentina de Microbiología, February 2016
|
DOI | 10.1016/j.ram.2015.11.002 |
Pubmed ID | |
Authors |
Claudia I. Prieto, María J. Palau, Pablo Martina, Carlos Achiary, Andrés Achiary, Marisa Bettiol, Patricia Montanaro, María L. Cazzola, Mariana Leguizamón, Cintia Massillo, Cecilia Figoli, Brenda Valeiras, Silvia Perez, Fernando Rentería, Graciela Diez, Osvaldo M. Yantorno, Alejandra Bosch |
Abstract |
The epidemiological and clinical management of cystic fibrosis (CF) patients suffering from acute pulmonary exacerbations or chronic lung infections demands continuous updating of medical and microbiological processes associated with the constant evolution of pathogens during host colonization. In order to monitor the dynamics of these processes, it is essential to have expert systems capable of storing and subsequently extracting the information generated from different studies of the patients and microorganisms isolated from them. In this work we have designed and developed an on-line database based on an information system that allows to store, manage and visualize data from clinical studies and microbiological analysis of bacteria obtained from the respiratory tract of patients suffering from cystic fibrosis. The information system, named Cystic Fibrosis Cloud database is available on the http://servoy.infocomsa.com/cfc_database site and is composed of a main database and a web-based interface, which uses Servoy's product architecture based on Java technology. Although the CFC database system can be implemented as a local program for private use in CF centers, it can also be used, updated and shared by different users who can access the stored information in a systematic, practical and safe manner. The implementation of the CFC database could have a significant impact on the monitoring of respiratory infections, the prevention of exacerbations, the detection of emerging organisms, and the adequacy of control strategies for lung infections in CF patients. |
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United States | 1 | 100% |
Demographic breakdown
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Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 13 | 19% |
Other | 9 | 13% |
Student > Master | 8 | 12% |
Researcher | 6 | 9% |
Student > Ph. D. Student | 4 | 6% |
Other | 5 | 7% |
Unknown | 24 | 35% |
Readers by discipline | Count | As % |
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Engineering | 13 | 19% |
Computer Science | 6 | 9% |
Agricultural and Biological Sciences | 5 | 7% |
Biochemistry, Genetics and Molecular Biology | 4 | 6% |
Medicine and Dentistry | 4 | 6% |
Other | 12 | 17% |
Unknown | 25 | 36% |