Admission to undergraduate programs in the Health Professions represents a high-stakes proces s that requires structured and reliable assessment tools to ensure fair and transparent selection. In this context, digital simulation environments may offer valuable support for test preparation while also enabling the collection of large -scale data on st udent participation and performance. The present study describes the development and implementation of a digital application designed to simulate the Italian admission test for Health Professions degree programs. The platform was used to deliver a nationwi de initiative, The Simulation Day 2025, which included both an asynchronous simulation available over several days and a live simulation conducted shortly before the official examination. Both formats reproduced the structure, timing, and scoring criteria of the ministerial test. Early descriptive data were collected from students who voluntarily accessed the platform. Analyses focused on participation patterns, completion times, overall scores, and performance across subject areas. In addition, data from t raining activities were examined to explore changes in response accuracy with repeated exposure to test questions. The results show broad participation across different educational backgrounds and geographic areas, together with variability in performance and engagement patterns. Overall, the findings suggest that digital simulation tools are a feasible and scalable approach to support admission test preparation and to generate useful data for understanding student performance in high-stakes assessment contexts.