Imagine being in the midst of the COVID-19 pandemic, needing to better understand how monoclonal antibody treatments and revaccinations influence long-term immunity in patients. This is the goal of the RENOIR project, a critical clinical study conducted by the National Institute for Infectious Diseases Lazzaro Spallanzani.
As a data scientist dedicated to this project, Iuri Fanti faced the full responsibility of setting up an eCRF (Electronic Case Report Form) application to support the complex RENOIR study. His mission was clear: to create a robust, reliable solution ready in record time. However, with limited financial resources and the need for a comprehensive reporting tool, the challenge seemed almost insurmountable.
This is where Livebase came into play.
Thanks to its agile and robust architecture, Livebase allowed for the generation and deployment of the eCRF application in just three days. Three intense days, filled with excitement and focus, during which every aspect of the project came to life through a series of intuitive clicks and configurations.
One of Livebase’s key features that proved essential for the RENOIR project was its versioning capability. In a dynamic clinical study like this, where information about vaccine adverse effects must be documented and updated frequently, versioning ensured systematic tracking of every change. This guaranteed consistency and reduced errors in reporting side effects, making data management much more efficient and reliable.
The eCRF application developed for the RENOIR study is based on a Relational Database Management System (DBMS), offering a robust framework for exporting collected data. This structured approach ensured that the study’s complex datasets were organized efficiently, facilitating integration with various analysis and reporting tools.
The RENOIR project ha involved up to now 93 patients aged between 18 and 65 years, with a total of 444 visits. Thanks to Livebase, Iuri not only overcame financial limitations but also created an application that effectively supports data collection and analysis, significantly contributing to public health strategies.