Studying Cardiac infection by tracking clinical data flow: experiences using a REDCap instance

Studying infection-related diseases, such as those associated with cardiological surgical interventions, often requires the acquisition and analysis of heterogeneous data, including bioimages, microbiological data, and blood analytes. Multidisciplinary collaboration among clinicians and specialists is also essential for effective data management and to develop strategies for the prevention and treatment of infections. Acquiring and analyzing data for clinical studies is a vital approach to preventing infectious diseases. In this context, the REDCap platform provides a comprehensive solution for collecting, managing, and analyzing clinical and hospitalization information. REDCap enables data entry validation, automated reporting, and data integration, which facilitates data management and ensures data quality.This contribution describes a REDCap-based method to support predictive clinical studies on infective endocarditis. The application aims to advance clinical research on this disease, improving understanding and fostering the development of effective treatment strategies, while assisting clinicians in defining cardiac infection prevention methods.