Abstract

Anemia represents a critical global public health challenge with high prevalence among women of reproductive age and children under five years. Despite its impact, early detection in outpatient settings remains limited due to the scarcity of objective tools that systematically integrate nutritional and hematological parameters for screening purposes. While the Controlling Nutritional Status (CONUT) index is a validated predictor of clinical outcomes, its application is often restricted to hospital settings and relies on manual calculation, which is prone to error and hinders adoption in primary care. In this study, we introduce CONUT-Digital, a novel digital tool designed not only to automate CONUT calculations but to explicitly integrate an automated anemia risk assessment directly into the nutritional screening workflow, addressing a critical gap in digital health tools for primary care.