Arturo Marroquin Rivera1, Juan Camilo Rosas-Romero2, Sergio Mario Castro2, Fernando Suárez-Obando3, Jeny Aguilera-Cruz2, Sophia Marie Bartels4, Sena Park4, William Chandler Torrey4, Carlos Gómez-Restrepo5. 1. Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia. Electronic address: marroquin.a@javeriana.edu.co. 2. Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia. 3. Instituto de Genética Humana, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia. 4. Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, United States. 5. Departmento de Epidemiología Clínica y Estadística, Pontificia Universidad Javeriana, Colombia; Departmento de Psiquiatría y Salud Mental, Facultad de Medicina, Pontificia Universidad Javeriana, Colombia.
Abstract
BACKGROUND: The implementation of new technologies in medical research, such as novel big storage systems, has recently gained importance. Electronic data capture is a perfect example as it powerfully facilitates medical research. However, its implementation in resource-limited settings, where basic clinical resources, internet access, and human resources may be reduced might be a problem. METHODS: In this paper we described our approach for building a network architecture for data collection to achieve our objectives using a REDCap® tool in Colombia and provide guidance for data collection in similar settings. CONCLUSIONS: REDCap is a feasible and efficient electronic data capture software to use in similar contexts to Colombia. The software facilitated the whole data management process and is a way to build research capacities in resourced-limited settings.
BACKGROUND: The implementation of new technologies in medical research, such as novel big storage systems, has recently gained importance. Electronic data capture is a perfect example as it powerfully facilitates medical research. However, its implementation in resource-limited settings, where basic clinical resources, internet access, and human resources may be reduced might be a problem. METHODS: In this paper we described our approach for building a network architecture for data collection to achieve our objectives using a REDCap® tool in Colombia and provide guidance for data collection in similar settings. CONCLUSIONS: REDCap is a feasible and efficient electronic data capture software to use in similar contexts to Colombia. The software facilitated the whole data management process and is a way to build research capacities in resourced-limited settings.
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