Bioelectrical impedance analysis (BIA) offers a non-invasive approach to assess nutritional status by measuring tissues’ opposition to electrical current flow. This technique evaluates body composition as: fat mass, fat-free mass, and total body water, making it a key tool for identifying malnutrition risks, which affect 20–62% of hospitalized patients. Established screening methods like NRS-2002 from ESPEN and SGA provide initial risk detection, but BIA delivers precise data on fluid distribution and bioelectrical properties such as resistance and reactance. This investigation highlights BIA’s effectiveness in generating detailed insights into nutritional health. By analyzing these parameters, the study aims to create a robust predictive model for early identification of deficiencies at the community level. Such a framework supports timely interventions and tailored dietary strategies, enhancing patient outcomes through proactive care.