Gemelli SLE Data Mart: A Real World Evidence Framework for the Evolution of Systemic Lupus Erythematousus Patients

The diverse data sources in hospitals are crucial for real-world evidence (RWE) analysis and for developing decision support systems. However, integrating this variety of sources into standardized data collections for a specific disease, requires the development of highly personalized frameworks. In this study, we propose a RWE approach for the development of a Data Mart for the Systemic Lupus Erythematosus (SLE) at the Gemelli hospital of Rome. Our approach combines natural language processing and data mining procedures to capture information about organ involvements, activity episodes and treatments, under rules defined by physicians. The Gemelli SLE Data Mart includes 262 SLE patients with at least a hospitalization from 2012 to 2020, and an outpatient visit, with a total amount of 5962 contacts. We also developed a visualization tool to display each patient longitudinally and we performed a data-driven analysis to stratify patients into progression groups, based on their involved organs and flares. The Gemelli SLE Data Mart and its framework were useful to build up a standardized data collection, to be used for further personalized medicine applications.