Pramathamesh Parchuri, Melanie Besculides, Serena Zhan, Fu-Yuan Cheng, Prem Timsina, Satya Narayana Cheertirala, Ilana Kersch, Sara Wilson, Robert Freeman, David Reich, Madhu Mazumdar, Arash Kia
BACKGROUND: Malnutrition is associated with increased morbidity, mortality, and healthcare costs. Early detection is important for timely intervention. This paper assesses the ability of a machine learning screening tool (MUST-Plus) implemented in registered dietitian (RD) workflow to identify malnourished patients early in the hospital stay and to improve the diagnosis and documentation rate of malnutrition. METHODS: This retrospective cohort study was conducted in a large, urban health system in New York City comprising six hospitals serving a diverse patient population...
February 13, 2024: Journal of Human Nutrition and Dietetics: the Official Journal of the British Dietetic Association