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Among the issues on which health directions focus, fall risk is one of major importance since it affects patients hospitalized in both acute and rehabilitative hospitals. In this context, few publications have proposed a managerial approach aimed at (a) investigating several factors related to falls and (b) trying to acquire more knowledge and comprehension when analyzing the data collected. Consequently, this paper pursues such objectives by investigating data related to falls (and the recurrence of falls) registered in a rehabilitation hospital within the years 2020 and 2021. A multidisciplinary team (clinical staff and engineers) registered 238 first falls, and descriptive statistics were used to analyze the fall-related anamnestic and clinical data. Then, appropriate statistical analyses were used to compare the same data—this time distinguishing fallers/recurrent fallers—and, again, descriptive statistics were used to analyze the consequences of falls. The statistical analyses allowed us to gain insights into the fall mechanisms, the main places in which falls took place, the impacts of drugs, and fall consequences (e.g., the potential extra costs for the hospital). Moreover, the Morse and Stratify risk tools, state of consciousness, and fall containment measures were proven to be statistically significant features for distinguishing fallers and recurrent fallers, and they may be further investigated to define more accurate preventive measures within rehabilitation hospitals.